mao12chong (1) (1) (1).ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "请点击[此处](https://ai.baidu.com/docs#/AIStudio_Project_Notebook/a38e5576)查看本环境基本用法.  <br>\n",
    "Please click [here ](https://ai.baidu.com/docs#/AIStudio_Project_Notebook/a38e5576) for more detailed instructions. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-02T02:33:20.190719Z",
     "iopub.status.busy": "2022-06-02T02:33:20.190032Z",
     "iopub.status.idle": "2022-06-02T02:33:22.325035Z",
     "shell.execute_reply": "2022-06-02T02:33:22.323975Z",
     "shell.execute_reply.started": "2022-06-02T02:33:20.190681Z"
    },
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/aistudio\n",
      "/home/aistudio/data/data10954\n",
      "Archive:  cat_12_test.zip\n",
      "   creating: cat_12_test/\n",
      "  inflating: cat_12_test/06yUTYIeaRsE782Ou5dh1NPzm9XpkBoL.jpg  \n",
      "  inflating: cat_12_test/0inVXMEgaBO4Fcrhdj9bkLvHzN71yTuI.jpg  \n",
      "  inflating: cat_12_test/0l8jL4ROZqzBYXeGH3fFyxPCJEs2togc.jpg  \n",
      "  inflating: cat_12_test/0vqnOQ8N7JfRxYLuHWG5BKiwb3ltMkg1.jpg  \n",
      "  inflating: cat_12_test/1nvK0pif9zLc74MCeYrOyqx6ZVQ3EGNH.jpg  \n",
      "  inflating: cat_12_test/1oCwQeU3KzI2bESWZVDvacAxHhg4O0p5.jpg  \n",
      "  inflating: cat_12_test/1pMk2hNyv4WXfEVlOxd0I7wbUL6ur9cP.jpg  \n",
      "  inflating: cat_12_test/1ry0uScsWatxqJ8zAnkVD9j3QRUiZC7h.jpg  \n",
      "  inflating: cat_12_test/2Gz5sW0vnPYapF1btMZK6qUQJcA8xyIB.jpg  \n",
      "  inflating: cat_12_test/2JpNeS5GmtdOV3B9I8TZRAxUEvPc7i1w.jpg  \n",
      "  inflating: cat_12_test/2NbvoGleSIPmdiXLjVwgM40CBZWr7qU9.jpg  \n",
      "  inflating: cat_12_test/3c5RAvm0gXYMG4tPq1Ezj69pBoDTnfeQ.jpg  \n",
      "  inflating: cat_12_test/3ZlItXUDgHEJLPr0bSAzisp8YfvxuGBW.jpg  \n",
      "  inflating: cat_12_test/3ZnpIokh2jNDrY0caqU8QOK4EufswdzA.jpg  \n",
      "  inflating: cat_12_test/4EsB9uIMd3KfJFN8vnRp1ZtGzY0wOo5T.jpg  \n",
      "  inflating: cat_12_test/4U3ZhLBQcmPJe8oFrnsG7ukqVHbKWpN5.jpg  \n",
      "  inflating: cat_12_test/4VDRm8FSxzGogy76PvIl5ueTKCkqW9j2.jpg  \n",
      "  inflating: cat_12_test/54WKtDUABlunX2qaeZHkyCpLjSbwsoRg.jpg  \n",
      "  inflating: cat_12_test/57WzFTfABcHDSi8OI3E4XpYVrgR6kqxb.jpg  \n",
      "  inflating: cat_12_test/5kBePEqnQWLZx4Fi7VCbm6a80fS93DzR.jpg  \n",
      "  inflating: cat_12_test/5MHKj6mt0ueR2UiGpACZxsaIoEJqw38T.jpg  \n",
      "  inflating: cat_12_test/5pORyFW1D8K472SM0xNcTbvGAXwf6sEl.jpg  \n",
      "  inflating: cat_12_test/5wUtIn3aLRvmohgPT6FrfHEGiBM9e7yd.jpg  \n",
      "  inflating: cat_12_test/642bPVHUQ5xBWnfgiGSREmtc8FsMj1eT.jpg  \n",
      "  inflating: cat_12_test/64FHGv0hpi1QeDBanL9jd5NTPbuURKsA.jpg  \n",
      "  inflating: cat_12_test/68r3FljBN0HU1WYoMwsRAOv5CKcpXxyu.jpg  \n",
      "  inflating: cat_12_test/6i2FpGaWgD0UdVPmYIH91yZc7QkjvKzM.jpg  \n",
      "  inflating: cat_12_test/6S79IhtpCf2bdg4zqrsoV8lJc5XNyuKw.jpg  \n",
      "  inflating: cat_12_test/6TtQep5C3rkc2dAoqmJG8KUsjDlXbgnP.jpg  \n",
      "  inflating: cat_12_test/7B4OCYadUVfHt9wyuEh30LbRGFpro8kS.jpg  \n",
      "  inflating: cat_12_test/7DmSzcCKFQl8ikqvBONZtxrefnpRU5YL.jpg  \n",
      "  inflating: cat_12_test/7KDilFZbnU9d5C6M8tLTecHhWO1raGSP.jpg  \n",
      "  inflating: cat_12_test/7OPgIj9NAW6bnuFVD0aR8Gfm5M3YhrT4.jpg  \n",
      "  inflating: cat_12_test/89Cq02pxztSOuV4YXrTvjQJK6dbUemiW.jpg  \n",
      "  inflating: cat_12_test/8hXcVtrwim5loPKUROeIG0xHsn7T2yAJ.jpg  \n",
      "  inflating: cat_12_test/8k0dX3cewmPBuKiO2Z1CUntRWys9jHxa.jpg  \n",
      "  inflating: cat_12_test/8mOXNWlEw1ZPMbr5LohUsi3JDe0C6pVj.jpg  \n",
      "  inflating: cat_12_test/8prIfqnY5k0bSyJsTPzBaHOuwFEhDx4c.jpg  \n",
      "  inflating: cat_12_test/8R3AXUErvuKGPkIHobinyjcNZg9TeYld.jpg  \n",
      "  inflating: cat_12_test/8TMA06Nnzor2Gfei5H1h3svPYX4uVSmD.jpg  \n",
      "  inflating: cat_12_test/8wFPZ06rNnAG4d2SaL3xoVgI9QbJfCTX.jpg  \n",
      "  inflating: cat_12_test/8wIDgP1i3ted7HslKGXkYz4nOb5vQT9C.jpg  \n",
      "  inflating: cat_12_test/9GDFRyqXLMIHUle5kS3vPTYxwEdOjs04.jpg  \n",
      "  inflating: cat_12_test/aE8UTfmvV23Kl6JqtiBGnhCwMIzur1WZ.jpg  \n",
      "  inflating: cat_12_test/aJfHX1egSQnbujLyYpxITv3iPd0CBF98.jpg  \n",
      "  inflating: cat_12_test/AP2oYwSOVcE86XHskhxlGvu3QMF7jWpK.jpg  \n",
      "  inflating: cat_12_test/ARW2IsMw84FbcdDNvjfUQxhYKT5CVzPy.jpg  \n",
      "  inflating: cat_12_test/aubLcXVqQePRwyHknzGdZjAiCp6h31rs.jpg  \n",
      "  inflating: cat_12_test/az2Y3iveoKmqFGVJgjpw48bWCLBsPZSd.jpg  \n",
      "  inflating: cat_12_test/Bdyn1VbIKZj4DwGHcmXr6foghlSTAR0p.jpg  \n",
      "  inflating: cat_12_test/BeNmK9gwEh2QX86ky1fprPzJOGTinjo3.jpg  \n",
      "  inflating: cat_12_test/BGrEOpbnU5tIVwXqz32SHFujMLmTP079.jpg  \n",
      "  inflating: cat_12_test/bh2onRgDQUdO53c0p9YrMti4CAfEIxyv.jpg  \n",
      "  inflating: cat_12_test/bkj5R2usdF96DPnGhVTStIe7YOEBxQXJ.jpg  \n",
      "  inflating: cat_12_test/bsIrUJD12AOfKpMz8GnghXqW34dNlj9S.jpg  \n",
      "  inflating: cat_12_test/BtMhCUNGa8kHj3IdWF4iR7yLKelT6sfv.jpg  \n",
      "  inflating: cat_12_test/btrAHXmi79BERzTugsvdFkpf4qhYnOC1.jpg  \n",
      "  inflating: cat_12_test/C263Itq5UJawbFVX9mSienplRxrgDzW8.jpg  \n",
      "  inflating: cat_12_test/C4sBzJoPpl17rMFjmWTavZwGLySgRNu6.jpg  \n",
      "  inflating: cat_12_test/CFjOUGRndlX96vzAWqmrusko4YJIc78w.jpg  \n",
      "  inflating: cat_12_test/cFO8LVEhgkd4C5NAo2uYHBSt3piDyzZI.jpg  \n",
      "  inflating: cat_12_test/Cp9xvt1bX5oqgwhnl3eYNsKa2DLuMSiE.jpg  \n",
      "  inflating: cat_12_test/cQ28GMgOx697NboWdLVZiEXkqJTuRAYf.jpg  \n",
      "  inflating: cat_12_test/CSbv6PwTrhRszmeB8qIHW14KMgpxD7cj.jpg  \n",
      "  inflating: cat_12_test/CV4FPEXUBuYvn5MyOq7QmoZh3DTKp1d8.jpg  \n",
      "  inflating: cat_12_test/CvZoqgRb1GuiOtzWp3LE6d8jlmVADnhy.jpg  \n",
      "  inflating: cat_12_test/D1PLNFGIVkswEyCoYr5U0ifvtl6BKdOc.jpg  \n",
      "  inflating: cat_12_test/dDewYrpgH8uN5mbKUT0MoXLCQVj914qn.jpg  \n",
      "  inflating: cat_12_test/DgdZv2UoBspb4KzYPWclikQeI5yM1fHN.jpg  \n",
      "  inflating: cat_12_test/dOAMNPU53f4xi1nlpSaXkju2e6zhwyqb.jpg  \n",
      "  inflating: cat_12_test/doDJAVOwpmrxNgM84PeEBSQ9CXcWkH2a.jpg  \n",
      "  inflating: cat_12_test/DsB3eLRmcK0iNkfMH9CUSaj5Tb4JyP6x.jpg  \n",
      "  inflating: cat_12_test/e0hxXYc1BNSZEORHnp5MQ7PW2yfUr3Cm.jpg  \n",
      "  inflating: cat_12_test/e1uUhLYTldCbSBo9nPkjr2FczxR6KNHp.jpg  \n",
      "  inflating: cat_12_test/e2BGfPKjhr1iR3zxIVsnuobqAt5QTM8l.jpg  \n",
      "  inflating: cat_12_test/E4kKFP7heD3gu1wcGY5JTSd9n0ibryLZ.jpg  \n",
      "  inflating: cat_12_test/E8oHTYI5OceQZKpg9tuNnGJ2MUBvjD3R.jpg  \n",
      "  inflating: cat_12_test/E9j20wT54W3gzhsVev1N6KZpyUSxnMrO.jpg  \n",
      "  inflating: cat_12_test/ec0tu7I4RMfOaYQToCH9pUizlnDN8Edj.jpg  \n",
      "  inflating: cat_12_test/eC9s4uwdgtzZhX5V63xJQnFvN8GPSo1i.jpg  \n",
      "  inflating: cat_12_test/EdzLZBqMyf7nQvX09ARrVpthgKPsxeSY.jpg  \n",
      "  inflating: cat_12_test/ENWKYxGdP5j0rv8UHiVAqkTgfOMl4Xyn.jpg  \n",
      "  inflating: cat_12_test/EvMk2LwZzBSxI0XAdrebg5osjCaf3PtW.jpg  \n",
      "  inflating: cat_12_test/f5JapBNenR7tjkYxO1V4cHgL3dlTPCyA.jpg  \n",
      "  inflating: cat_12_test/FCas1bZk7qUOw4ILAtipRgS29XPQENeJ.jpg  \n",
      "  inflating: cat_12_test/fEap7UgPWbKn8T5SrMF609doOCsGyIl1.jpg  \n",
      "  inflating: cat_12_test/fEI4mbUP9yvqG8ahKXM30NBRScZQwrpe.jpg  \n",
      "  inflating: cat_12_test/fIY8wE076HQFkNBz5prgc1amuCOZxMdD.jpg  \n",
      "  inflating: cat_12_test/gc7yjXT6KiB1MeDmNEPnqU0htVsfz2d9.jpg  \n",
      "  inflating: cat_12_test/GdwD4y0zRjWrPIeX8AgOKac7UTLxQbpv.jpg  \n",
      "  inflating: cat_12_test/gkbPeBSqZLThNcVHAudaG5JKp4Ux8Ryi.jpg  \n",
      "  inflating: cat_12_test/glCRezh17iTPokdbNZIHrScmD56QEOBt.jpg  \n",
      "  inflating: cat_12_test/GlozKf7Nt4126DudiTQHwM9gXF5RB3SP.jpg  \n",
      "  inflating: cat_12_test/gN2xK8HUbjFWl1kGyCvMJehiBPwzSdOu.jpg  \n",
      "  inflating: cat_12_test/GsbBaCHjUh2qJlWvZe6IXDYizpKtrnLx.jpg  \n",
      "  inflating: cat_12_test/gvHFxjQtd2P1AMD0KZ4rJG7wm8UpuEBR.jpg  \n",
      "  inflating: cat_12_test/H5N27BYjLoOhRXD91ukZtVyxCeFiqPM6.jpg  \n",
      "  inflating: cat_12_test/HaGSINmA92jMbKRQqgh0dL1ofxcD4tU8.jpg  \n",
      "  inflating: cat_12_test/HAJPda7QMtIBCkWZGmo6gUE1KqLDT2Xb.jpg  \n",
      "  inflating: cat_12_test/hbXEk8AwL4vu9PxlYyzonVGqJgi36K1W.jpg  \n",
      "  inflating: cat_12_test/HEpoaSjiebO15hfRY3QmPBXTCM26st7J.jpg  \n",
      "  inflating: cat_12_test/Hf4hB2XpO1FyboCqKZriMQRdl9wG5SVe.jpg  \n",
      "  inflating: cat_12_test/hiRsc1VCyOkb48lgEHU9zG3BeMxAwtda.jpg  \n",
      "  inflating: cat_12_test/hnuTefzZEj3yPxwHmaoqgK6bdV4lpt08.jpg  \n",
      "  inflating: cat_12_test/HUMDys5BWtgj61h9kRxFwQvcGYqunpAz.jpg  \n",
      "  inflating: cat_12_test/hvdLSDjtJnGwbk8gu3sP2cXKNrHQMmBo.jpg  \n",
      "  inflating: cat_12_test/HWXCD9QmGStFzgRYrdMOlIvKiojPUcV6.jpg  \n",
      "  inflating: cat_12_test/I3aGAwkQUq6HFfjrKpVvRCYN7TPbE8zh.jpg  \n",
      "  inflating: cat_12_test/ial0d6k41h7wRmGrgxZLcMqDFTvKsyIX.jpg  \n",
      "  inflating: cat_12_test/IATKzQGsd6PuM14mrw3yj09JROBoc2nN.jpg  \n",
      "  inflating: cat_12_test/iEkGpD0yPQ8wuSYtrgf6ohqnvxXMz43R.jpg  \n",
      "  inflating: cat_12_test/IkaxQfhT0HMNpnRUmAZzuyLKJP4qlF9V.jpg  \n",
      "  inflating: cat_12_test/IkDxXUZyvBVt29JzESlK0GdwiWHAPC13.jpg  \n",
      "  inflating: cat_12_test/IpkaBLd60TKNiA4hSvFsGz5oJHOX1UZl.jpg  \n",
      "  inflating: cat_12_test/iq845rWzCXc1NHhbtBVk9oMLfRu0TApD.jpg  \n",
      "  inflating: cat_12_test/IVk0ZbfoJ9sHyi7rRcB6SLjmdaqFznvC.jpg  \n",
      "  inflating: cat_12_test/iw4TJmdCzPoOr5FHAaNYVXblxvy0sBnU.jpg  \n",
      "  inflating: cat_12_test/iXwHOFJyoQCf0KAnmaxuN17sdlDSv6YL.jpg  \n",
      "  inflating: cat_12_test/jDn5IhpN7yKVtJSRoa4EvcHG8Y1O9ke3.jpg  \n",
      "  inflating: cat_12_test/JhRpxEHOSIYqn0cyZTAWibQ1wPvMBX9V.jpg  \n",
      "  inflating: cat_12_test/JiFZhLmI5jWe2uaqzng9tXyGDwcCRPVl.jpg  \n",
      "  inflating: cat_12_test/JmbCezyZWvj8RfF3LVt4sX7Dl5wOKAaq.jpg  \n",
      "  inflating: cat_12_test/jmRxT6IZdul3B8QEWpvFLSfcVHX1gC5D.jpg  \n",
      "  inflating: cat_12_test/jtPxvENrDz3IACHoQB8e4V0lGqgndLK7.jpg  \n",
      "  inflating: cat_12_test/jwBYan2FNf5brsUZqVGokT3I4CxS6zXP.jpg  \n",
      "  inflating: cat_12_test/jXJLKAxiVtkhWcUrDmRlfvdqwsN5GHZp.jpg  \n",
      "  inflating: cat_12_test/jxvT78qpeBCIzNduiyohGLHV3PUFgEmA.jpg  \n",
      "  inflating: cat_12_test/K2aUXNfnCupYel3swIxGo71AyrMEDqJ4.jpg  \n",
      "  inflating: cat_12_test/K6ldPnGkV7C35Ap1J2yg8cIRzLsOXu9H.jpg  \n",
      "  inflating: cat_12_test/K9Y7kEIZpHtx836NUwmOXGybJCqM0PWR.jpg  \n",
      "  inflating: cat_12_test/kbg4EvmL52suxF3OXAlCqpyrSIJBaPGt.jpg  \n",
      "  inflating: cat_12_test/KcRWLOD407o9xHJIABCtMS8VY6kQvPbz.jpg  \n",
      "  inflating: cat_12_test/Kjb8efkYN7UHurDzgoJxidVI1GRmls2F.jpg  \n",
      "  inflating: cat_12_test/KLiEc2t0orWROTZgq8YDIBePhvFsjCp6.jpg  \n",
      "  inflating: cat_12_test/krEVI3eSjO9FMKybdhLQovCYnG2DwlaR.jpg  \n",
      "  inflating: cat_12_test/KuV5Qi4JmoDvZSUbj3RGa2ksYMz6gyA9.jpg  \n",
      "  inflating: cat_12_test/KWSCfFO5hvEoutbqzMcyBjZd9P1INQHR.jpg  \n",
      "  inflating: cat_12_test/l7Kn96f0UHJRiBN8zhd13mDCatqSF5yE.jpg  \n",
      "  inflating: cat_12_test/LeBICTU9Ms7WbXylYoqaRHvmnA5rkKfG.jpg  \n",
      "  inflating: cat_12_test/leubPx5YRaL0kjQBHcXJKsZEMFmiU1Vz.jpg  \n",
      "  inflating: cat_12_test/lgxyhBc1YEkJHbZio4WsSdMaQCPmDT82.jpg  \n",
      "  inflating: cat_12_test/LIsp4o2NfGERetBKXyvzPA3Z9cgDuV60.jpg  \n",
      "  inflating: cat_12_test/LJRXOkuIVxhc7ZrCKFd8GYSDfvmsE302.jpg  \n",
      "  inflating: cat_12_test/lmged1AEO8aTBpRk4jUvP9rDfQ2ZNuVt.jpg  \n",
      "  inflating: cat_12_test/lMObdBySjIV9XUcsEH7QW8rGFDuZ62L3.jpg  \n",
      "  inflating: cat_12_test/LsTcHt9DfjQneKugB0FiymZSdopwA7E2.jpg  \n",
      "  inflating: cat_12_test/lsuBT7OxJk5AnS1wK3acXUiqVCWmfRbQ.jpg  \n",
      "  inflating: cat_12_test/m3TnLDlY1fAg2tEvMVIP4p9UawO5uJ6c.jpg  \n",
      "  inflating: cat_12_test/Mbv98gLKhunUfZjTCDz2Q53oyrHIBcYG.jpg  \n",
      "  inflating: cat_12_test/MnPq8Bdgk1YWG07HyOsoC96Ech3bSlRN.jpg  \n",
      "  inflating: cat_12_test/msqdjIEpFxf23C61oW9JZ7nv4zurKL0O.jpg  \n",
      "  inflating: cat_12_test/mXIfNyVxBOZin4KQlYMdkPTSFA85ugrH.jpg  \n",
      "  inflating: cat_12_test/n0StpyjL4OH6UG8sAYgiJxdkuDvrXlh3.jpg  \n",
      "  inflating: cat_12_test/n74T1JPSsip8I6qO0CAawRxgoFYQcMWD.jpg  \n",
      "  inflating: cat_12_test/n96fcazwKbdUJ8FlDHA43ZeEo7WTgLqX.jpg  \n",
      "  inflating: cat_12_test/NHXUsnhyvREg0kbdtL5ITGe4DAjMiFlP.jpg  \n",
      "  inflating: cat_12_test/nk18BrPwjCJgQclmqtIHpSXNhxMbVYK9.jpg  \n",
      "  inflating: cat_12_test/NrPQtw7m31JKOlSbnAU6VHovqhMY2LBG.jpg  \n",
      "  inflating: cat_12_test/ny6ROKoBVGECzpuA1P3tj9ixWedrTF2q.jpg  \n",
      "  inflating: cat_12_test/nz5oNMvpTmrB6F1JdEg8R3Y0QwbXZCiW.jpg  \n",
      "  inflating: cat_12_test/OHg2wlQf5DdNEr46xqLBXz3ai9oGmKYI.jpg  \n",
      "  inflating: cat_12_test/OMfQiwJau4WXboyN5LktHSF3grnZDsAG.jpg  \n",
      "  inflating: cat_12_test/ou9Ik17GtHSThRCDLZm3f6vB8ybQ4xsl.jpg  \n",
      "  inflating: cat_12_test/P3Bn8ThKFoV1YJIpfSAmqxwbQ2ECv0iu.jpg  \n",
      "  inflating: cat_12_test/p7AlzCB2mebK9RiTcfS3khoQHU5jFuyE.jpg  \n",
      "  inflating: cat_12_test/p7LIzh9K2C6JvPFR1VxslN5HMoUESZ0t.jpg  \n",
      "  inflating: cat_12_test/P8r4NWa3wQ7OIp9jzbDfteBgxdYKAGEL.jpg  \n",
      "  inflating: cat_12_test/pKHWP5NGI6urf034B7nbqF1Y9URdesw2.jpg  \n",
      "  inflating: cat_12_test/pm2ThIquD9jZQSbNyEa46Pnt75xOoGVH.jpg  \n",
      "  inflating: cat_12_test/pOtviB9SNwIG1ocYAWqbV52DUQeaFxE6.jpg  \n",
      "  inflating: cat_12_test/q8n6COwlBx2yj13FTvJsVt5mgdkQKeRL.jpg  \n",
      "  inflating: cat_12_test/qGUJzXjndN5BEM43fLVuD2IZC790yKpQ.jpg  \n",
      "  inflating: cat_12_test/qH7edr0iDohCW138GSFKnkxbysJfpEXl.jpg  \n",
      "  inflating: cat_12_test/QlL0nk4dWUG8gv1AVXijOIozD6bqZBHY.jpg  \n",
      "  inflating: cat_12_test/Qt29gPjYZwv3B6RJh5yiTWXrVImue1FH.jpg  \n",
      "  inflating: cat_12_test/qv3bOocyiFuV6r8NHwXhIRBKgWda4fPY.jpg  \n",
      "  inflating: cat_12_test/r2uvyY56iIPS8kZGnshwFHTpdljz1Mxc.jpg  \n",
      "  inflating: cat_12_test/rLtPXfM4YEz29cvZHalkWmFNiBGnxIU1.jpg  \n",
      "  inflating: cat_12_test/ruWUFv0ejnP5N9KBMLmkb4DEyT1piCSo.jpg  \n",
      "  inflating: cat_12_test/rVYpnJXTIaq8ktvhe3Gmbl1wo2WxQRg4.jpg  \n",
      "  inflating: cat_12_test/s27hCRpL5yam1iztKTDVOlAPXb4InBEr.jpg  \n",
      "  inflating: cat_12_test/S9Dpt3OBuPk1dM2578UYsTn4ZVoxilzE.jpg  \n",
      "  inflating: cat_12_test/SFq4cCsgHrW9GldYTXwOf3hztL7uKpEA.jpg  \n",
      "  inflating: cat_12_test/ShdTyoqamNCMQcezkU4sR1xbu9JGLtjF.jpg  \n",
      "  inflating: cat_12_test/SJqmXQaRbpLYD2UWvry9Pe0fFgtiIcnE.jpg  \n",
      "  inflating: cat_12_test/sNyJrfZAFvo5imu3HISBUG9W2l1e40Kk.jpg  \n",
      "  inflating: cat_12_test/SukGlhoeUfjiqwIFcJLgxWdbO3sBQrzZ.jpg  \n",
      "  inflating: cat_12_test/SyDrt8BQJXzvEAd9Pws3pn1GjbxCVLhZ.jpg  \n",
      "  inflating: cat_12_test/t4rpWyJgnL3OV7F5kou20YPHixIm1dbw.jpg  \n",
      "  inflating: cat_12_test/tbaFmLP0qn6xEISHXWYuvzpQfK3jc79N.jpg  \n",
      "  inflating: cat_12_test/TKdEw4z0fVJi81laRugr2oXNQchACxDF.jpg  \n",
      "  inflating: cat_12_test/TLxAGqPbmhw3uZEylreCH749aYJB6gWX.jpg  \n",
      "  inflating: cat_12_test/tY8xbT4EMJyzAwDpHP5RlIUkd9NrSusn.jpg  \n",
      "  inflating: cat_12_test/TzB9H4AiLs1DZ6aklVF2INOcynhRpPdb.jpg  \n",
      "  inflating: cat_12_test/u26vWon4hDfUsGNkeFYRZi8BIMtpxw5O.jpg  \n",
      "  inflating: cat_12_test/u2KJc7UrlBdfO5gNPALEysIGQ6Ra8j4z.jpg  \n",
      "  inflating: cat_12_test/u6YvJj4O5Cd9pkRQeymLbxMqZXasFEi0.jpg  \n",
      "  inflating: cat_12_test/uNaUkSsl508WETFAR3virfmwLhoO7pZV.jpg  \n",
      "  inflating: cat_12_test/uv1SbeidZ4GyFDAxT0M7Y2mgLlBz3HVC.jpg  \n",
      "  inflating: cat_12_test/V0mIFOgBcPj4vJHU6osiph7rTN8unz9D.jpg  \n",
      "  inflating: cat_12_test/v23A8DpP4OjNklUVGZBT7gFiecfmMEhn.jpg  \n",
      "  inflating: cat_12_test/V3fz76mkRIjwleZiq5OWcCnhyP2aNBvu.jpg  \n",
      "  inflating: cat_12_test/veKcksx0IRrmqYWB3nAQhuGJHptTVf4U.jpg  \n",
      "  inflating: cat_12_test/vjEBn3XRdprP0bVYTC9Hi6sxqDtozGua.jpg  \n",
      "  inflating: cat_12_test/vLodH3QnaPqjyMzecbYtiRfIAg9pGmw7.jpg  \n",
      "  inflating: cat_12_test/vO7GNaLMqw92R4hjtVxfoegbd6ImAWEl.jpg  \n",
      "  inflating: cat_12_test/vpfbsh14YXUBIWotjxqcD3GF6Oe52zM9.jpg  \n",
      "  inflating: cat_12_test/vRbzZNmYFo7WXIcOnV18gfrGU3B42kKE.jpg  \n",
      "  inflating: cat_12_test/vw5LKnSh3u9POfGzHBscAW4pl0oe7aJT.jpg  \n",
      "  inflating: cat_12_test/wd4noEBU0HDgby26RljskpPZYQLhqti1.jpg  \n",
      "  inflating: cat_12_test/WFv04NG3zUkYiBIHlQyp9MmhbedLsf7K.jpg  \n",
      "  inflating: cat_12_test/WKNemAFtyOn8VExYqfTZJ91bhruLpcsv.jpg  \n",
      "  inflating: cat_12_test/WMgOhwZzacY023lCusqnBxIdibpkT5GP.jpg  \n",
      "  inflating: cat_12_test/WN2V4ZjyJpLUc6lC7o0shxmdBITqGiOk.jpg  \n",
      "  inflating: cat_12_test/WUqZVJXmksnt45ORa1Cu6c8zKLifTID7.jpg  \n",
      "  inflating: cat_12_test/x2U7nDMWEiyzucdZVYgBjCrIOwo4XtAq.jpg  \n",
      "  inflating: cat_12_test/xA9wfKabsjl8IZn7JHvtuoqBPGzNYdWU.jpg  \n",
      "  inflating: cat_12_test/xeS317w4dmoBKbq9yXpnjNta8WDMIUCV.jpg  \n",
      "  inflating: cat_12_test/xI8vdsqbFkCEZJVRoABQUw2XSjiYne4P.jpg  \n",
      "  inflating: cat_12_test/xIvP9p0y4oaGgqzUhJZOsDNtWbu76reH.jpg  \n",
      "  inflating: cat_12_test/xkow0dE6MVCQLR9pIBvugr4NH185hTOP.jpg  \n",
      "  inflating: cat_12_test/XniIV9ZweRbNdEzWf6vs3gJ2hk4C58q0.jpg  \n",
      "  inflating: cat_12_test/xS3d4XNZ2YGRtaBH6TCVbmJvghiOlAIQ.jpg  \n",
      "  inflating: cat_12_test/xSJLM7Z4fQRdz809DjcvClUnXopymPwt.jpg  \n",
      "  inflating: cat_12_test/y1UCNWPTf4oH3z20FtMmSA6ROYZqa8Bi.jpg  \n",
      "  inflating: cat_12_test/y3ecmo0uw6xEqhzIW79QJDLbf2PCdrAl.jpg  \n",
      "  inflating: cat_12_test/Y82bKuo71rvwA0kCNcmLUBpQhHDT9lJF.jpg  \n",
      "  inflating: cat_12_test/YFEbnUGOptdLVZhXv47IzCTelKjoaAw8.jpg  \n",
      "  inflating: cat_12_test/YJsWEj0bN7xBdKvaeIVqfLu4hzw12MT8.jpg  \n",
      "  inflating: cat_12_test/yLj08PvQgMVSJx12zHIDcwXO6KComaYt.jpg  \n",
      "  inflating: cat_12_test/YTpMHX8Edt7o34vq0CmlxrIGiegkhfsn.jpg  \n",
      "  inflating: cat_12_test/YWxjtKA7BmcopIXabDFzyVR4iTrPdw8k.jpg  \n",
      "  inflating: cat_12_test/Yy3PkZRNfhutQXxUOsl9Bvn7dFK6IE8z.jpg  \n",
      "  inflating: cat_12_test/YzpEdRu4StIg7UaFVj2XfJCOGDhKeHNB.jpg  \n",
      "  inflating: cat_12_test/ZHyz6OPdRCVUXvAkKEgGMjeiq9DQ4w2Y.jpg  \n",
      "  inflating: cat_12_test/zkHyvT0ugUNcEpbnKYROmlCIitaXSfDw.jpg  \n",
      "  inflating: cat_12_test/ZMBQb9AkGX4S68DvLsUWVH0JRcqIO3lw.jpg  \n",
      "  inflating: cat_12_test/zmx5S0vqDZeruB9P7HWXaVc1IMjEwt6y.jpg  \n",
      "  inflating: cat_12_test/ZV5KpcoqEl1yFgmRX7QhAJ20uD8BIC4x.jpg  \n",
      "  inflating: cat_12_test/zXyot03giwfhecLJlCm5NjQnY6VHq7Da.jpg  \n",
      "Archive:  cat_12_train.zip\n",
      "   creating: cat_12_train/\n",
      "  inflating: cat_12_train/02WsuJX3pImwcyEKjFvkQqDSAaV8HoG5.jpg  \n",
      "  inflating: cat_12_train/03j9aZ5Gkq7vMDRnVQFwfbrHx8TEeoch.jpg  \n",
      "  inflating: cat_12_train/04Iv3QNKtu2DAfRTgs9XZwBMb1Cm7l6P.jpg  \n",
      "  inflating: cat_12_train/07FlA9MgYrTXDSaoQZuOzf6NWLyI3mR4.jpg  \n",
      "  inflating: cat_12_train/08MxktFvgzyBn6rahXlGqAuebKHTWORQ.jpg  \n",
      "  inflating: cat_12_train/09i4DcyrWktZb1naHFEpL5elhG3CvYxu.jpg  \n",
      "  inflating: cat_12_train/0aSixIFj9X73z41LMDUQ6ZykwnBA5YJW.jpg  \n",
      "  inflating: cat_12_train/0bBWRPd2t4NDIaO8567oyTgK3MU9rJZS.jpg  \n",
      "  inflating: cat_12_train/0bpPevGiKaR4JUFlThw7y5BQLr6jDnuA.jpg  \n",
      "  inflating: cat_12_train/0CdHvOVoJMSP7fteLyzx3lpqRUjQbZka.jpg  \n",
      "  inflating: cat_12_train/0CfnVZPlhWDAUgH6Bm3wyukdIvq7LN2T.jpg  \n",
      "  inflating: cat_12_train/0cgjPhzZYq68EoGi1CLbp5lKy9UNSvHk.jpg  \n",
      "  inflating: cat_12_train/0esFjXNqc5xbMmUaJkRVPwQorWlu3LvA.jpg  \n",
      "  inflating: cat_12_train/0FpXW6B4zriQHbJtZ3I2AUYqjPKuLshS.jpg  \n",
      "  inflating: cat_12_train/0g4Sp5RoGBWfDzvxVMyYAkCdONiQsP6X.jpg  \n",
      "  inflating: cat_12_train/0GX4YKdcwBi15lTpR7ExWO2ZagseoVNI.jpg  \n",
      "  inflating: cat_12_train/0HPVOhrbKz9cIy8jkUoZEv4wRNTGfSsC.jpg  \n",
      "  inflating: cat_12_train/0HVOuvKQdtcFEwS937a5URJpjiMk1zhY.jpg  \n",
      "  inflating: cat_12_train/0IWfLUGk53iHt9SElNzKsBCDwuMjpPbR.jpg  \n",
      "  inflating: cat_12_train/0iYHbBF5vXlG7u3DC6p9mc2j1xItRWZS.jpg  \n",
      "  inflating: cat_12_train/0MmqxPHoRXWz7GKcFljYfnsI6OtUg5Vh.jpg  \n",
      "  inflating: cat_12_train/0nHT5SX4RYxVO8KWfGubswrBg9hAMQNC.jpg  \n",
      "  inflating: cat_12_train/0qNmdUWQkbzSGth8y3vM12DiwasYCERF.jpg  \n",
      "  inflating: cat_12_train/0sA4u7fWK9LChSYGcxUpIwFbPoDHltBa.jpg  \n",
      "  inflating: cat_12_train/0vuaqSYFkV3XWmfweiNsGrO4nUzTQ6Pt.jpg  \n",
      "  inflating: cat_12_train/0WglfKCD5Gu2LqI1msTSZa6orBO7XAz9.jpg  \n",
      "  inflating: cat_12_train/0xTsQnrB1UA4CpIZ5mYNc9J2XKSMaz6f.jpg  \n",
      "  inflating: cat_12_train/0yDk8mXgCTio4AFeKtB7NMzScnEOhua6.jpg  \n",
      "  inflating: cat_12_train/0ypxeLF54wq7HTSD2dgAPfn3IYl6stoN.jpg  \n",
      "  inflating: cat_12_train/0yTr3fswKBv4M8Fo2NcUnzibx6ClIm5e.jpg  \n",
      "  inflating: cat_12_train/0z8uGh7BYEA3nRKM4rd1kFwTmQyoUeZq.jpg  \n",
      "  inflating: cat_12_train/0ziLohTEqcaRGn1vpCtlg4AUxJ8DB6kX.jpg  \n",
      "  inflating: cat_12_train/126ZXnYsQrbvqEBHzmSJafNDkUd3hwAc.jpg  \n",
      "  inflating: cat_12_train/148qy7jcJLAZgz9GKCpF5RbvWPHlYIoX.jpg  \n",
      "  inflating: cat_12_train/182Lfbh57veYw9CzXOIkta0lRD46JcpG.jpg  \n",
      "  inflating: cat_12_train/18iyndoRcsY9KufvhUWZmjVIgF47aCLk.jpg  \n",
      "  inflating: cat_12_train/19DrMFmgIEcldeHzSXR7jYq08osa3BPn.jpg  \n",
      "  inflating: cat_12_train/1a36EDhLcVtqOMZCfdb8pgyGnTRQsSK7.jpg  \n",
      "  inflating: cat_12_train/1AaCHEuDjBGZinTbJc2o38qL6t9hfe5F.jpg  \n",
      "  inflating: cat_12_train/1aYftvQ4V0bEe8uT3kPwLzh6UpHKnCIM.jpg  \n",
      "  inflating: cat_12_train/1doUxSiIparJzjVWNA6CEcB3ZQt4g5eh.jpg  \n",
      "  inflating: cat_12_train/1eq4C0XOkSjFWdYohfZV6mUH8rR3cJvg.jpg  \n",
      "  inflating: cat_12_train/1fmA7rDGCc0IKdLqnzi8VYROxeNESvJP.jpg  \n",
      "  inflating: cat_12_train/1hI9EVptKvySA3waWHTBCLPgMlJXfb5R.jpg  \n",
      "  inflating: cat_12_train/1Il94p6zhcqywSWOVxvDJ7arPenuMXF3.jpg  \n",
      "  inflating: cat_12_train/1J5gQbhwd6motXPVIMKjzevcGrk7xfCy.jpg  \n",
      "  inflating: cat_12_train/1lzs3kM8NiILvcgDYtn6fdCoSeXauJ5P.jpg  \n",
      "  inflating: cat_12_train/1moxjrupHOUVbF5cIsvXe0AkNdZzDqPS.jpg  \n",
      "  inflating: cat_12_train/1nMNjEdQ24mSfo8qH7Y0phPaBuLA3CzW.jpg  \n",
      "  inflating: cat_12_train/1NwLRPhp2ioI4JHG8utnM07DAmUrjsxK.jpg  \n",
      "  inflating: cat_12_train/1OCHK6UVuzXFm2yinGh9os5J7cNARP0t.jpg  \n",
      "  inflating: cat_12_train/1OozGuECMTqBaQR275F6mA8JZyDtpiVS.jpg  \n",
      "  inflating: cat_12_train/1ParOLSc5iJC3vMIUmknwQdYKxeEgF8T.jpg  \n",
      "  inflating: cat_12_train/1PQ46p95ONeZBJy7fxD3AM8vdbHiVc2R.jpg  \n",
      "  inflating: cat_12_train/1QC0VyEAGtDWi2pzckKNPuq9Bsg7mvje.jpg  \n",
      "  inflating: cat_12_train/1qsPHKzZt6QGWA5Bo8I0CpTJlhvgXj7k.jpg  \n",
      "  inflating: cat_12_train/1QViG3fXFk5AhtlP9LquOJw8njMZBexS.jpg  \n",
      "  inflating: cat_12_train/1RBhPzibSa8Anm4OxFsqt0vgwEWcCdDT.jpg  \n",
      "  inflating: cat_12_train/1TfCuiK25DHGBcSLjIVa6YhbMQeAtqUy.jpg  \n",
      "  inflating: cat_12_train/1tjHZcI0pMgbkm29r6eOBXP7a4UNz3CV.jpg  \n",
      "  inflating: cat_12_train/1tOJWl645zi3FwmG7DbPpsIy9KnxZuSH.jpg  \n",
      "  inflating: cat_12_train/1wL93ZGkDYzusVonXSTKgAW8pdvmQHbJ.jpg  \n",
      "  inflating: cat_12_train/1WvFaphGxTcM2VPDQB0OIsRYZ4nK6m9A.jpg  \n",
      "  inflating: cat_12_train/1wvxkQKOGq87JBPcIEtrhn9XgbWUTsVM.jpg  \n",
      "  inflating: cat_12_train/1XW5aQ9kyYcZJA8LMhH0SNiRzljVuUOs.jpg  \n",
      "  inflating: cat_12_train/1z9H8Y2e0Zv7XbKhML5msWnUCVGEdaPr.jpg  \n",
      "  inflating: cat_12_train/1ZQPwo7SzDT8xG5HgMbrmXW3YdIfRAue.jpg  \n",
      "  inflating: cat_12_train/21vZs3eyREW48MAkLnp5zDFhuYObJBqU.jpg  \n",
      "  inflating: cat_12_train/29NfRP3LoDyTnbHBGY8zgl4IKdc1i5vq.jpg  \n",
      "  inflating: cat_12_train/2cKUvXCjm5HNWksY1b4ioIgdSFqyMtEJ.jpg  \n",
      "  inflating: cat_12_train/2COAyRVzjkDZp4P3qbasfBG1vgQ67wer.jpg  \n",
      "  inflating: cat_12_train/2fERdtpv4JyXjeHITV3oNUMKkx8CScBG.jpg  \n",
      "  inflating: cat_12_train/2fQwp13ThSnEcPUGuD9HdJxvWL5m0iKZ.jpg  \n",
      "  inflating: cat_12_train/2HLRUwE4OnVatu7kQ9KIJmz8061vyPhT.jpg  \n",
      "  inflating: cat_12_train/2kFHMTRLtUnqSBE1AO9KjPCbDzd8egsi.jpg  \n",
      "  inflating: cat_12_train/2KPWBC5umyZpHYtNXckfF9nELq7xAJ8e.jpg  \n",
      "  inflating: cat_12_train/2lvKNdGFm9txqEZnjo6UQPbgHDCsXe1k.jpg  \n",
      "  inflating: cat_12_train/2my1NkQZtiWP5DodTsGMSLFYfn9pzcCl.jpg  \n",
      "  inflating: cat_12_train/2O7cp9IhP6UdXmMA8W1suyNKrLb0YT4R.jpg  \n",
      "  inflating: cat_12_train/2ofWcDqXpvilb8PQ6dhJNVuBCwIr37ej.jpg  \n",
      "  inflating: cat_12_train/2OpyK1cm85obujwEMqGWNv9V7PnQfJ3U.jpg  \n",
      "  inflating: cat_12_train/2pcdSkrCRHKslIqnAQYbEgm3VNahw8BJ.jpg  \n",
      "  inflating: cat_12_train/2pjBVbqF30cUTvRIYtsCGfgwPKOJz4ua.jpg  \n",
      "  inflating: cat_12_train/2QMb8NpUA7wSLtYWD6fe1RFBhuVCxgd9.jpg  \n",
      "  inflating: cat_12_train/2QvYgMIzELXH4Fy8GNDBaPS3W0tVZ5xq.jpg  \n",
      "  inflating: cat_12_train/2rgmYWOU7Q9Zjz0BeI6Rqs8wfSJhNp1G.jpg  \n",
      "  inflating: cat_12_train/2sFPxw1GESOjCt6Wa9LB4YIqvHbVJ3go.jpg  \n",
      "  inflating: cat_12_train/2SJPBUXZc0QeMFgxCsAqmKjO8w9rhER4.jpg  \n",
      "  inflating: cat_12_train/2TVNxiPKbw1UA5YGJtCDav60hFLW7pBZ.jpg  \n",
      "  inflating: cat_12_train/2Vsl3znKpw0OPvhWi1roMD9xyIqjubTC.jpg  \n",
      "  inflating: cat_12_train/2xvtgnXlHws7r3LQZ9PoNi6qJ51OW0ed.jpg  \n",
      "  inflating: cat_12_train/2yau1Evk7qLmoC0NIQH6Xp94RhBUifMn.jpg  \n",
      "  inflating: cat_12_train/2Yt1HcWwQxDueOyS9dIT5JhP7RXjzM3b.jpg  \n",
      "  inflating: cat_12_train/2yYrmoE7evtl8fRNU3ODHMT6cq5bguAS.jpg  \n",
      "  inflating: cat_12_train/2ZtV034AufjkhlY1JHBai5DvUexycTqp.jpg  \n",
      "  inflating: cat_12_train/30qeXHE54bg7rNBZlwvSUs96ujVQDdPM.jpg  \n",
      "  inflating: cat_12_train/32AMOPQjWn6rRutNpeKDUcFJ75Z9hXVv.jpg  \n",
      "  inflating: cat_12_train/36mVn2utzkgdBcNwlMGpbYEaes8XP9hL.jpg  \n",
      "  inflating: cat_12_train/37GT1haZQt4XICfEBAePnbRmjc9rSFMx.jpg  \n",
      "  inflating: cat_12_train/39e0Zi2GN4rmcFAsV8aMfXonhlvYbKOk.jpg  \n",
      "  inflating: cat_12_train/3AaJxEBlYV5eS7sFDgkR2jOmTtnMG4vU.jpg  \n",
      "  inflating: cat_12_train/3amVJbeu8CEyz0pPl5QYvXThdo6wtqMN.jpg  \n",
      "  inflating: cat_12_train/3aovgyczP2pCJEN5VFhlqMw4ifIQ8LRk.jpg  \n",
      "  inflating: cat_12_train/3c8QGWvOz6pknbFdtJHI4fgwTrhK1usj.jpg  \n",
      "  inflating: cat_12_train/3dsMi2lPycfek7bjHN15DZYTKXVzGU9A.jpg  \n",
      "  inflating: cat_12_train/3fbCHSDdzkwpTRi0jKcEOBgsu8APFyUl.jpg  \n",
      "  inflating: cat_12_train/3ITPOakWJShC2UtZeLNoGn8fbdRxDHjw.jpg  \n",
      "  inflating: cat_12_train/3J8d1cHbnSEumU2GlOMY7k9evFXiVhCR.jpg  \n",
      "  inflating: cat_12_train/3KdjBiUIrZM0w6QyVY1gNEPuDtRO2n87.jpg  \n",
      "  inflating: cat_12_train/3kKQ6ahiRV0JgH27bmZBoWlcv5O4zd9y.jpg  \n",
      "  inflating: cat_12_train/3KvUiFokR1x5j9QSBsHlJagh7dftIPpu.jpg  \n",
      "  inflating: cat_12_train/3l9MSgVphNasQfUo4bK2Ou7IdwxZBnYm.jpg  \n",
      "  inflating: cat_12_train/3lkIrPdRuVwQG4ZyONf0zbiSgDX8YAFc.jpg  \n",
      "  inflating: cat_12_train/3MeUSCHyXFoNZhzJslTjV9bWKig1nf82.jpg  \n",
      "  inflating: cat_12_train/3MurGlEiQgNUWjHZCb7zqSfkwTvsDxhp.jpg  \n",
      "  inflating: cat_12_train/3Ndv9X6uTgzFtnoA01VECIBPj7xqlewG.jpg  \n",
      "  inflating: cat_12_train/3NSX7nFGA9H5f1jaUIvcRZYyDoTei8QB.jpg  \n",
      "  inflating: cat_12_train/3NYlqCMFnwDjR64VZ8TdoazhL1EGgKJ0.jpg  \n",
      "  inflating: cat_12_train/3oNU0HeusZgtBaSYXOv4TnpL9yR6CrGf.jpg  \n",
      "  inflating: cat_12_train/3ORBdPbgWUNuV0t6GfaAFIsz1Jc2XwM8.jpg  \n",
      "  inflating: cat_12_train/3oVpFvYHZkUmK5wtM2Lx6P4auejlX7Eh.jpg  \n",
      "  inflating: cat_12_train/3Pxh6Kpgy5RDMZf1awSU8IX9GlrcduiT.jpg  \n",
      "  inflating: cat_12_train/3QEgAxipcTXHkPbNfq4LU6D27ZwmCJKr.jpg  \n",
      "  inflating: cat_12_train/3R5BWakTdG2hKjJoiNxg0pr61LsDqSuM.jpg  \n",
      "  inflating: cat_12_train/3rBvTd8JCXyQMH1ctfshPE6u5mplGK2e.jpg  \n",
      "  inflating: cat_12_train/3rctox6QghS2U7Dd1zafNHBXYIeAJkPM.jpg  \n",
      "  inflating: cat_12_train/3TYp0DxX4yeHCqvhVLUWn6izucPlO7AK.jpg  \n",
      "  inflating: cat_12_train/3WMaobkZQH5lGV1YfIFAOu0xytmd9TRr.jpg  \n",
      "  inflating: cat_12_train/3XH8zMOfhmtlCvq9EG1Jy6RxVL0TsSIe.jpg  \n",
      "  inflating: cat_12_train/3XnzmG4WKtwj89bYx2TfiFkADEsZ5odL.jpg  \n",
      "  inflating: cat_12_train/3xPGOuUq9enCKlNWT8hEtcIvkmiSQ0gz.jpg  \n",
      "  inflating: cat_12_train/3yMZzWekKmuoGOF60ICQxldhBEc9Ra15.jpg  \n",
      "  inflating: cat_12_train/3zC96qBsvkcFQXSib4WPwEZrmGaoHAgn.jpg  \n",
      "  inflating: cat_12_train/41mU5QFGlDwaPzn86RsYvByOLHkpNtuC.jpg  \n",
      "  inflating: cat_12_train/41OaVziAEuenpKqv7LCYMPsGH6BkQotD.jpg  \n",
      "  inflating: cat_12_train/46QvxY9DlLK2ATNqwCprkceGMIyo1tjh.jpg  \n",
      "  inflating: cat_12_train/48CVYv1NaW3ndjT2Fclm6DwEypGSfBJe.jpg  \n",
      "  inflating: cat_12_train/4a3S7DrHPMyTXznCFldhp16WK5JgQj9L.jpg  \n",
      "  inflating: cat_12_train/4AKaEHmTzf8k1C3e5QuDS70VJUoIRlMZ.jpg  \n",
      "  inflating: cat_12_train/4blxdGpB6cOWXDPim8gZMhswkQnj3LNf.jpg  \n",
      "  inflating: cat_12_train/4BMKs7xRlw6OJfdHzDeU9kS5bvoi38rP.jpg  \n",
      "  inflating: cat_12_train/4cvuMnHwlpxjmkRXEWtGSig2rUzYB08b.jpg  \n",
      "  inflating: cat_12_train/4CZF02fuMcjwxsiQ36NrT59vAdG1oapJ.jpg  \n",
      "  inflating: cat_12_train/4dItlFqz6w2peKACYfnhy9BsiUTSok0R.jpg  \n",
      "  inflating: cat_12_train/4DlwpKgxcsb3AEGv5QZI62aqzM1yhVom.jpg  \n",
      "  inflating: cat_12_train/4dMVtGvRJbrjK6X17STZ9Lx3kgeEioqp.jpg  \n",
      "  inflating: cat_12_train/4Ds0tpGnhFV2MmKcOiTwufA5YrPWXjzQ.jpg  \n",
      "  inflating: cat_12_train/4e8fubAoOvjK6NHBYqzQ9U1TaJwkiWXt.jpg  \n",
      "  inflating: cat_12_train/4ekbnAl9Q3vY7hZ2WCKisw0qNIDxByVM.jpg  \n",
      "  inflating: cat_12_train/4F8fBlHycA5eQgKtIh7jTNGvmJ1nRxoz.jpg  \n",
      "  inflating: cat_12_train/4fOSpvTA51Bry9gie3ULaXEohNldkM8n.jpg  \n",
      "  inflating: cat_12_train/4hefxXdoq8I5vHTtCGwODuVgcBapZkWQ.jpg  \n",
      "  inflating: cat_12_train/4hvoikqmJHldfswzRVS5IECMZ09AWBc2.jpg  \n",
      "  inflating: cat_12_train/4i96MlOh2S8gbA5woQBquTCrdUzxy0pc.jpg  \n",
      "  inflating: cat_12_train/4imIfUz0a26EAsGgOkHl5Sj7Wy1nNPYM.jpg  \n",
      "  inflating: cat_12_train/4ipwTaer8FhVzJtjC5Pu3MK60dbYZmcW.jpg  \n",
      "  inflating: cat_12_train/4IUXmqFEsZNvu8tiWCOSodkPjLDHaplb.jpg  \n",
      "  inflating: cat_12_train/4j5w1pFtAD3lUWTPOSvmoZ2YRKeaLVEu.jpg  \n",
      "  inflating: cat_12_train/4kAWviLa37ysBfxlSFuOjnGTIUMrEDXp.jpg  \n",
      "  inflating: cat_12_train/4lQEPWC7JX0hszTLIHOpYcriKfd1bnot.jpg  \n",
      "  inflating: cat_12_train/4M3RSJ8YedAjTs5pL2HBxzZaygXQwE0r.jpg  \n",
      "  inflating: cat_12_train/4MBD9JVPyLKqUQRYpGH3n7gEmad2Fhsl.jpg  \n",
      "  inflating: cat_12_train/4mdjYlTPfSsv6KOApGZNwMH9bhLtkQXR.jpg  \n",
      "  inflating: cat_12_train/4mjeZFnQcXh7KLsW2Y83IvaN6GoRwT9U.jpg  \n",
      "  inflating: cat_12_train/4oPDw8xFBjlickurJUnm2I7vSdhYW5b0.jpg  \n",
      "  inflating: cat_12_train/4q8VBfKC9AT5FgkWHQ0ztmiNJlZdwbOx.jpg  \n",
      "  inflating: cat_12_train/4qvVaUw2HIizQ1kBlPSuDXtKNbpOFEL3.jpg  \n",
      "  inflating: cat_12_train/4Rs3qgWQaprk7uLVCFIcEMGNiDyt9woz.jpg  \n",
      "  inflating: cat_12_train/4rTBKZ8tez25o9ValDM7PNkJRvsh6UWQ.jpg  \n",
      "  inflating: cat_12_train/4rYXHgp7hD1uUdnMJFPo8caCKs3wt0xL.jpg  \n",
      "  inflating: cat_12_train/4sdGUNT0vBhr17u2ReKaEYoblmFfQWc6.jpg  \n",
      "  inflating: cat_12_train/4TYQmaLWZHVtoiEJs7PhdD0v26SBkNun.jpg  \n",
      "  inflating: cat_12_train/4U8LqlxjBNGFwP2kudeogRiWVM1HJa5T.jpg  \n",
      "  inflating: cat_12_train/4UEk685OFPMtap23K1wDnLTlBc9dvYVu.jpg  \n",
      "  inflating: cat_12_train/4V2ydh3Pl8eJSzAHuLQXwtGEp1UaBbFm.jpg  \n",
      "  inflating: cat_12_train/4Wln8iZmCa6DKo0JAPGIug5Tf9RN2BSt.jpg  \n",
      "  inflating: cat_12_train/4y8B6YXMKS9lsEQaWvcuikbTHh1oApFw.jpg  \n",
      "  inflating: cat_12_train/4Yg8Fq2xnjp0WXR6Hb5hUZkBz7m3scNy.jpg  \n",
      "  inflating: cat_12_train/4Zdy9xFzjIiLc1YR8AT0Pr7Hhgtwp3lC.jpg  \n",
      "  inflating: cat_12_train/52kg03cH1TzobFve4pMQRWZCyErGl8qV.jpg  \n",
      "  inflating: cat_12_train/54CrNXPAxgkdzVJYs2vRUhTiL1E09aO8.jpg  \n",
      "  inflating: cat_12_train/56EQm9geYqIxOL4kUpPyX8cbWDS3zH2a.jpg  \n",
      "  inflating: cat_12_train/56MEpcSInVxgOhKB3Zm9w27WUCA0FzkN.jpg  \n",
      "  inflating: cat_12_train/58s2p6RhbWdkzGaMXZUxKeSNoFl7fntQ.jpg  \n",
      "  inflating: cat_12_train/59JayPGXf1l3Iovrb6LRZ40tgmeFnpqk.jpg  \n",
      "  inflating: cat_12_train/59S24dfsyDJiREpLwW1OQXvZAUqabhtV.jpg  \n",
      "  inflating: cat_12_train/5albS12c6izTvpWhdkYD9UxRqJIojryf.jpg  \n",
      "  inflating: cat_12_train/5aMfNglZxKG82dAc1XezIO3qHsoRQDv6.jpg  \n",
      "  inflating: cat_12_train/5bDjkSw2nILFv0PTgR3QNxfrZa1BmXd4.jpg  \n",
      "  inflating: cat_12_train/5C76eISyb3vmPZuMYcARHU8aFQrBWf1k.jpg  \n",
      "  inflating: cat_12_train/5d6zOcULZkE2bRTMv4NuFhmW3qwS9fin.jpg  \n",
      "  inflating: cat_12_train/5DcaxBIHmVCOyWhLXuleE8nGoYs29NKR.jpg  \n",
      "  inflating: cat_12_train/5eynBhdCwzYvoQF1Z2JGcMWAOuUPral8.jpg  \n",
      "  inflating: cat_12_train/5FQrOKAWkaqPE3XG2djRfebViIDLZN67.jpg  \n",
      "  inflating: cat_12_train/5hTYmvBN4fAkUpxaX6g9ZjRlHwzIosrd.jpg  \n",
      "  inflating: cat_12_train/5ILkwFTCxeA9ZUD6v2JtBjEXnc0RQ7zg.jpg  \n",
      "  inflating: cat_12_train/5Kb2qj1pru6cLNPWReYT3vtEMFzi87IA.jpg  \n",
      "  inflating: cat_12_train/5KXa0n3TopCJNBtmq2vOQbr8YeI61Dyw.jpg  \n",
      "  inflating: cat_12_train/5lGeVd7AnQTpZHtxNcB0WwCvEoX4S1FO.jpg  \n",
      "  inflating: cat_12_train/5LySw6bvBWh0rEHlqUK89XxZD7oTYmVt.jpg  \n",
      "  inflating: cat_12_train/5NJDCtSaVqurXwic1plUkzO3yTPhLMj0.jpg  \n",
      "  inflating: cat_12_train/5nKsehtjrXCZqbAcSW13gxB8E6z2Luy7.jpg  \n",
      "  inflating: cat_12_train/5ORmCseN87vaShU0MxtTJXukzEYq6IwW.jpg  \n",
      "  inflating: cat_12_train/5pdPoXRMJItL6Kbn0jDNqyzw9skG8cFT.jpg  \n",
      "  inflating: cat_12_train/5QgkbD1ryz4CavjcsRuAtBqpZOeVLHS0.jpg  \n",
      "  inflating: cat_12_train/5qGTMwp8NjSUnKbZgDCvumEJ6FWXPzIs.jpg  \n",
      "  inflating: cat_12_train/5QNlvto01XI4L2rcFp6DhumiVROGSzJK.jpg  \n",
      "  inflating: cat_12_train/5VMwDRYAQXfN3tJqBsxTZSc2mdP9GlOH.jpg  \n",
      "  inflating: cat_12_train/5W3ZIacF9uknNEg0JPjYzOtdA2T7oXbS.jpg  \n",
      "  inflating: cat_12_train/5wJZjQXAoOkln9qmbC3BtIUce4u1hKra.jpg  \n",
      "  inflating: cat_12_train/5wV09K2cD8pJQbBhT6EsWFxMlCnyXfLz.jpg  \n",
      "  inflating: cat_12_train/5x09OpT4nP8FmGLXdCtZSuD2yaoA73Mw.jpg  \n",
      "  inflating: cat_12_train/60uRXIwPWYSobK9ZABNHxGm5vfFaVClr.jpg  \n",
      "  inflating: cat_12_train/614SEdADNZqLXuwKil3sQ9O0WzJxgmBR.jpg  \n",
      "  inflating: cat_12_train/61qrFoE0n5acut9PYUdsNWT23vIeQwRx.jpg  \n",
      "  inflating: cat_12_train/64mynl5txgrViGOQAaXw9qp1kDfsSC0z.jpg  \n",
      "  inflating: cat_12_train/6axhH4DQwOqV0RMjpPvrtZScCmF5oklL.jpg  \n",
      "  inflating: cat_12_train/6BFAum2YQpbw0ThE7j5SOyDcXtf1ePrd.jpg  \n",
      "  inflating: cat_12_train/6cNQmLqMBw3vHU7Tkuf2p8Ygiz9F0aVA.jpg  \n",
      "  inflating: cat_12_train/6dA293gMuJW74LYCelhyfzviwxoR0Djk.jpg  \n",
      "  inflating: cat_12_train/6eaoG0Fn8kblx1OEDMrhijHXmTpR2zuf.jpg  \n",
      "  inflating: cat_12_train/6EIZdWFa1jpm0zsT4h8l7rfMyVkguGXc.jpg  \n",
      "  inflating: cat_12_train/6fmyGPxuwh40iDVdZslYgSMFbqIOc93a.jpg  \n",
      "  inflating: cat_12_train/6H8DZ2LBqOJrGwbpjsSQIaEdCo04lmAP.jpg  \n",
      "  inflating: cat_12_train/6jTZ5sfCpGwJWIK3DaYQvixLbNt48nHr.jpg  \n",
      "  inflating: cat_12_train/6M8spOgbLdYij37lw5Wca4mnVhyCr0EG.jpg  \n",
      "  inflating: cat_12_train/6M8xAZBdQLkuDcF14HEz53J0IboiPfUa.jpg  \n",
      "  inflating: cat_12_train/6nepz9Bq7uS4bFc0DlI2RrKOYX8xQTma.jpg  \n",
      "  inflating: cat_12_train/6nHmVc5oJkxb0Pgtp91DfUXeuNWhOIZj.jpg  \n",
      "  inflating: cat_12_train/6nzDFtR0JScqe2OHLQvfogylX3b4Bijm.jpg  \n",
      "  inflating: cat_12_train/6OkZLzbDW5KqPXd4vgCtynGocFVQSTp2.jpg  \n",
      "  inflating: cat_12_train/6oZkxhSp15awjvPOgUW4fJQNT8F0l7qB.jpg  \n",
      "  inflating: cat_12_train/6PhKmyY4eAg9V3tJpUxufr1cSTv2izEB.jpg  \n",
      "  inflating: cat_12_train/6S53G17oFwBcDPz0lTRtbjg8Vp9YhXJf.jpg  \n",
      "  inflating: cat_12_train/6TocmGbtRxj8WflJuKA4PNqUh3DSy1ki.jpg  \n",
      "  inflating: cat_12_train/6UHY51hQmOyZPjAlJo0C9zpd2BR4E8gv.jpg  \n",
      "  inflating: cat_12_train/6xP791ilmFYUEGsNK4udtw5TcBgvfjhO.jpg  \n",
      "  inflating: cat_12_train/6yYs4rvFLkQJlRxdhNfMOW52EAbgHejC.jpg  \n",
      "  inflating: cat_12_train/6ZEoBfGxQJ9aCIgnu2qmdyD8pPhRt7sr.jpg  \n",
      "  inflating: cat_12_train/70Zf13yPRFuDrNhwHAbGUi5tBcvJgpeT.jpg  \n",
      "  inflating: cat_12_train/71VRCUdlKuvMh6iZ3bQNxBmcXFyA2TrG.jpg  \n",
      "  inflating: cat_12_train/72DPFYu6ImgtTHGV14cEJlaqpUhwdriN.jpg  \n",
      "  inflating: cat_12_train/74VQzTJMc0xpLsUu2AagBbtOFSDNZnwm.jpg  \n",
      "  inflating: cat_12_train/75HFSWMcflN9JgKuz8kIyDqRGL6UtiQ0.jpg  \n",
      "  inflating: cat_12_train/78WTn5auMmQshIZi2qDAYdR1oKcwEzfk.jpg  \n",
      "  inflating: cat_12_train/79hOMB1riogWm6wpUTfYNzaSP8Vb4Gyc.jpg  \n",
      "  inflating: cat_12_train/7AVpkcS3Hd9IbXtRQ0j4ZvPBmDfYEUWl.jpg  \n",
      "  inflating: cat_12_train/7BENlgaSny0pkL3reujdGAv8OwKURzbf.jpg  \n",
      "  inflating: cat_12_train/7E9oOUcQjkLMvpAtNymHCRSqFfdGVDK4.jpg  \n",
      "  inflating: cat_12_train/7egPs2qkL4XjdbptIvBnRuAHiZ0FfMrz.jpg  \n",
      "  inflating: cat_12_train/7EoBOD0IdKwenUs4YTk9R5uaFtf3CAqV.jpg  \n",
      "  inflating: cat_12_train/7g6j4W8DnTldfu5VeELFv2tGUiOoZwq3.jpg  \n",
      "  inflating: cat_12_train/7Gw2o8LJTF4ecZI6nl1WuDrsAOSfQPaq.jpg  \n",
      "  inflating: cat_12_train/7IdLnFCb3a25cKNV6tXuYi1fe0hJQMOU.jpg  \n",
      "  inflating: cat_12_train/7jPdVqU3XrKeYcybJEamtsCMB9QoWfSv.jpg  \n",
      "  inflating: cat_12_train/7n2ojPChWgeU50QkXtpI41Mli6BDEHFf.jpg  \n",
      "  inflating: cat_12_train/7nx8bQkAeRc9fpCzPWusJm2SDtXVglNh.jpg  \n",
      "  inflating: cat_12_train/7o5n6deIzLkFypcQjStBuTRfv2VAYiU8.jpg  \n",
      "  inflating: cat_12_train/7oyHahid61tkDu20XGSIfPOTEFrpjVQb.jpg  \n",
      "  inflating: cat_12_train/7Q9b3LNfzKBg0WqEu2SseFrhCZyd45AP.jpg  \n",
      "  inflating: cat_12_train/7QZTYlspK2fqdJUwjC0HDmOFrM5W4PX9.jpg  \n",
      "  inflating: cat_12_train/7rtmYo14NcDHnylLjUZSuzpe2x6OisEk.jpg  \n",
      "  inflating: cat_12_train/7vi3eYl25NSrTMy6n9qmcXPgFtEoskw8.jpg  \n",
      "  inflating: cat_12_train/7VmLX0OZUiS4CuqHn2eavJYNPI6sdDlB.jpg  \n",
      "  inflating: cat_12_train/7wfe9DskUFu8AC1jvWPX24qKQIxVNGrR.jpg  \n",
      "  inflating: cat_12_train/7WQ0ByMPtJAdZ8h5OkveLi3ScuU6bIY1.jpg  \n",
      "  inflating: cat_12_train/7XiwZv1ko8zDd36CxQIbTAMPqOhtpBGE.jpg  \n",
      "  inflating: cat_12_train/7xJ5VR6vZAWwiHfbYTOlPG9UNprekQCL.jpg  \n",
      "  inflating: cat_12_train/7Yiy3Aatg98WUl1GKdEp0wxqPVJv4ZbD.jpg  \n",
      "  inflating: cat_12_train/7ZNC0WKM83Tm6pqSIEPUXlsB5xrLtiwj.jpg  \n",
      "  inflating: cat_12_train/80FTMAaBS25j1ZxIr4D7fswhnLoNWH6C.jpg  \n",
      "  inflating: cat_12_train/80gp5MlDJ1ObPNxtIyrzmaS6WCiBshwu.jpg  \n",
      "  inflating: cat_12_train/80vskwDtCRAz9iWYjnrhIGfeXdUZx16b.jpg  \n",
      "  inflating: cat_12_train/81NQ0gco67VPU34bRSDZBA2yOGCpJeYd.jpg  \n",
      "  inflating: cat_12_train/83yz91Jk4tdIpMNPElFvCZYghHajbuTn.jpg  \n",
      "  inflating: cat_12_train/8baV0JIymMNBv3khdeopwt21Su9LFXjU.jpg  \n",
      "  inflating: cat_12_train/8CKx1BHgPVF5wtl2RDfdYipQqJI7ZUaj.jpg  \n",
      "  inflating: cat_12_train/8dcWYEtVDS2KPzZ6Ow79JjIoibyAHflq.jpg  \n",
      "  inflating: cat_12_train/8E0bSi3h1aVy2cNWpgOsKvxZCQtzqkLU.jpg  \n",
      "  inflating: cat_12_train/8GOkTtqw7E6IHZx4olYnhzvXLCiRsUfM.jpg  \n",
      "  inflating: cat_12_train/8H1Wx2gF0sdIvTji5GK4QZuDwSroet7B.jpg  \n",
      "  inflating: cat_12_train/8h39CacWpoAJPEIZQid1gFfmeykNnXGK.jpg  \n",
      "  inflating: cat_12_train/8i7tryRjVb9WSvJcH2xn5LAgezTQ0MIs.jpg  \n",
      "  inflating: cat_12_train/8IkEOSX3TDzZgvj24JFWLpYUt7wNidR1.jpg  \n",
      "  inflating: cat_12_train/8iLvZtOCQ2YcFU3dKSVnog9krHwWuPMl.jpg  \n",
      "  inflating: cat_12_train/8IW3Phi70XOClUaR4et6dpDnG1qFZMsE.jpg  \n",
      "  inflating: cat_12_train/8J1wfStOPg3ZE2aYQiVunl5CDmMvNoc0.jpg  \n",
      "  inflating: cat_12_train/8Jgep162BYRnrAwTQHi7yqLdCockaEMG.jpg  \n",
      "  inflating: cat_12_train/8k35s2h4uSOW0nG6EVeLANUZaD9gITmF.jpg  \n",
      "  inflating: cat_12_train/8L3hSz5roxTsp94IFOQiDdvRwbN1EtAk.jpg  \n",
      "  inflating: cat_12_train/8Lh9oWRlSHgwEXYsm1nxZPNcAe6y2aG4.jpg  \n",
      "  inflating: cat_12_train/8M9FzLmX62oDBy3AHEUutliRS0saQNnW.jpg  \n",
      "  inflating: cat_12_train/8NxvitwMaCpsuEQT17nDXzFR5gAZ4rfc.jpg  \n",
      "  inflating: cat_12_train/8Qjqnk9gaiDboU0FKGCOd73IHZYJlhyT.jpg  \n",
      "  inflating: cat_12_train/8qNUTeaMr4zF7lCSVPAEstkodf6ZYObv.jpg  \n",
      "  inflating: cat_12_train/8qvta5d2LTgbF3N7xes6kMZKwcUJyzEP.jpg  \n",
      "  inflating: cat_12_train/8scAIF39uEQdGwKRm2lqNn7Dev1bh4B6.jpg  \n",
      "  inflating: cat_12_train/8SjDECs6Aelg4fLU1POpdnXVykx9h5uv.jpg  \n",
      "  inflating: cat_12_train/8uxVyleLU5jhY6wBQdbfTWAEKz0nHsOg.jpg  \n",
      "  inflating: cat_12_train/8Vgba9CFxipEeLoQfc4zSnwt6dyDPTuH.jpg  \n",
      "  inflating: cat_12_train/8yReMNiB5SVpovs1W6QCH3zAGTI9qgPX.jpg  \n",
      "  inflating: cat_12_train/8zkCrof6cEHPiRKFjL1gVBmhawWZ2nMX.jpg  \n",
      "  inflating: cat_12_train/8zNyGXW7ZlYTb0toxIprQvML2qUg1FuP.jpg  \n",
      "  inflating: cat_12_train/8Zt0ECob4KWjvIOs1dnJxuHrzleShXqY.jpg  \n",
      "  inflating: cat_12_train/94AaN0vCGQTsSBIZelc2u6p5OoMqUmjn.jpg  \n",
      "  inflating: cat_12_train/94NwrzYLo8iMtagTR3SfPGHmWvZXbyUx.jpg  \n",
      "  inflating: cat_12_train/96BsO0TpayJulXGQgxSMCR7DdWfL1nFH.jpg  \n",
      "  inflating: cat_12_train/9AokPsN0xERFh6aM1uJcm84YXynKrUtS.jpg  \n",
      "  inflating: cat_12_train/9bC5JwzqBfZclmQGSKYuon1Ws4FaPHTe.jpg  \n",
      "  inflating: cat_12_train/9bxrBITYoDEdfOGis8a0WnjRvXeL5k4l.jpg  \n",
      "  inflating: cat_12_train/9CoVK0cu1vOB5h8SHnGgaTf7tU4dDiZq.jpg  \n",
      "  inflating: cat_12_train/9dCPAnzt3I2gw5cixZyoOQNJ4EH81frk.jpg  \n",
      "  inflating: cat_12_train/9DIygMuxFGBdtYqXPWVUn2QNzv3mRiwE.jpg  \n",
      "  inflating: cat_12_train/9DV1IzTJtaQH6nGwrjCoxbhySUqcpsZf.jpg  \n",
      "  inflating: cat_12_train/9E3CefP0uTkw4GyA2hDctinSIRQNJ56d.jpg  \n",
      "  inflating: cat_12_train/9E8LAKUe3FhDr2gpyIvSjWk7GnfsYl4m.jpg  \n",
      "  inflating: cat_12_train/9eA7fvBiWGabu0p6qYN4jFdHCgwKXrSI.jpg  \n",
      "  inflating: cat_12_train/9ecP0WSpYR4ZkmFiNOIxv1L3yGnTVUHA.jpg  \n",
      "  inflating: cat_12_train/9eglUNKB2iXuYjpxf8h1GAcHsEZbFVyS.jpg  \n",
      "  inflating: cat_12_train/9flrdgFEqoK2WHRYaMQLkswe8tvVmbJU.jpg  \n",
      "  inflating: cat_12_train/9fv2Fc10LRon74y6pQaIGsZqKiPuEXhw.jpg  \n",
      "  inflating: cat_12_train/9gjk5dsceqQS7nWNGYIBhOMKxrli6FDJ.jpg  \n",
      "  inflating: cat_12_train/9gQ3upnUxdlXAkLHqjGJvfc15eTmrR2C.jpg  \n",
      "  inflating: cat_12_train/9HqpxA1zIeV6FuPfnUOR05mL2WcGEvK3.jpg  \n",
      "  inflating: cat_12_train/9i34cCY2BomkQgOnExt1uZIVdzfRaH8U.jpg  \n",
      "  inflating: cat_12_train/9I3enpUrZ5xD2TvRAOFt4S7lBfVMdqsJ.jpg  \n",
      "  inflating: cat_12_train/9lLoRV5zmWaZGSHQAwMnedqF4tC3uXjr.jpg  \n",
      "  inflating: cat_12_train/9MAUZtbHETXBewScynr6NfOJ5xIzGKdj.jpg  \n",
      "  inflating: cat_12_train/9mDXkhFoRM7N4AnazHOdfcIU0PLElBSJ.jpg  \n",
      "  inflating: cat_12_train/9NkJODlPgFZU0EsnvyLHIjw8u2aGqteW.jpg  \n",
      "  inflating: cat_12_train/9O7SU6o15lQ2HyLnDpqwaigRY8fEWXzK.jpg  \n",
      "  inflating: cat_12_train/9oGuWFbwL0Pl3DVMhvOsarnzpHxfKZBQ.jpg  \n",
      "  inflating: cat_12_train/9PQic6o4VyZ13pLAYu2avFWSbJRz57fC.jpg  \n",
      "  inflating: cat_12_train/9PvyNAWT7E05MGfHwKhbdZxXieCrIVjL.jpg  \n",
      "  inflating: cat_12_train/9TfohnNmGP68OtEuWxz7VCK4ULBkjibH.jpg  \n",
      "  inflating: cat_12_train/9WeaBviMtETYZb5gGVqIFp2QhuX0LjNH.jpg  \n",
      "  inflating: cat_12_train/9Weq1LDizrk5MNUba0cXSnYdFw3RgVl6.jpg  \n",
      "  inflating: cat_12_train/9YaBzmdnEFkuA6MD3NZWOxr5i7GCUje8.jpg  \n",
      "  inflating: cat_12_train/A0farx4RJU7wGi9gYXL2EpzNm1HQueyF.jpg  \n",
      "  inflating: cat_12_train/A0O8vaWw9psErkPTgKX1mtzcBZGCL3x5.jpg  \n",
      "  inflating: cat_12_train/A1Dh65tFLXpxbd2gKNYGEVqok9UCQrfW.jpg  \n",
      "  inflating: cat_12_train/a1NFtBfr8ZHypPGMwum9bgixeVzOd7Io.jpg  \n",
      "  inflating: cat_12_train/A1odKS4iXP8F6qD2hpIk5WszLBVJMjul.jpg  \n",
      "  inflating: cat_12_train/a1UACe4zQI0b56BX2OGyVhqLmEwjFnY7.jpg  \n",
      "  inflating: cat_12_train/a2xQcJywgr7IRMlnUEF18KtOhjLzTC4V.jpg  \n",
      "  inflating: cat_12_train/a30eTOsxkEwM4NHALBZRJ26h5jiPIKmS.jpg  \n",
      "  inflating: cat_12_train/a3IqB72jyLEipJvgAfSYlDFtmhu146PU.jpg  \n",
      "  inflating: cat_12_train/A3zuqjsOkGDy5iX8Rpx0KoJEI2CSBWfH.jpg  \n",
      "  inflating: cat_12_train/A4nzUtWajKfb2QspE9lcRZ7XOodLrgxm.jpg  \n",
      "  inflating: cat_12_train/a4XMm8zL9JHr1Vjcvigen6oR57kEpF0P.jpg  \n",
      "  inflating: cat_12_train/a5JxPfeGU49nmc6QBzypuYvHM0FAZsDw.jpg  \n",
      "  inflating: cat_12_train/a60YlN1E9qmfMjtnTc4bu8wdrk53DisW.jpg  \n",
      "  inflating: cat_12_train/A8PMtHzoyFE0WgjpZ2qUYbduL4T9arxN.jpg  \n",
      "  inflating: cat_12_train/A9xkLfUrDNg5RZueOay2jBWwhsoqinTX.jpg  \n",
      "  inflating: cat_12_train/aAPKTUtsDrm8pBGZoR45CbNLFz6nfYXk.jpg  \n",
      "  inflating: cat_12_train/AaTtXMomk1Z6wgnUPuIVSRO09xQFECdh.jpg  \n",
      "  inflating: cat_12_train/AaVqoiSHcdvpfu32gMtWnXsB6RhrN0YU.jpg  \n",
      "  inflating: cat_12_train/ABut3Xq1nKGSVap5NCQbfFoU7gE4P0Ol.jpg  \n",
      "  inflating: cat_12_train/AC0dVuZQNKxtGDiY24n8aJ6gBSyEe71r.jpg  \n",
      "  inflating: cat_12_train/ACFS36VrgZkYnQ9fvDoXItdw1c0iWJ4m.jpg  \n",
      "  inflating: cat_12_train/acsIO6jl5fikg2dKPGwQbUHBEp308FeT.jpg  \n",
      "  inflating: cat_12_train/aD1vHI3GKQ9NCePZ80EyUAuS2OogYf5k.jpg  \n",
      "  inflating: cat_12_train/adAjP14SXL6vVJ95TRrMIYDiHl7BUqbF.jpg  \n",
      "  inflating: cat_12_train/aduHhWmirlfYKjRtsJpMxUCB2IqSvgyb.jpg  \n",
      "  inflating: cat_12_train/AECTGujvUtmHyNcI9rJheBlsi6zVdoD2.jpg  \n",
      "  inflating: cat_12_train/aem0XRHlKLWonI5xsVEBGc3U6qPvJuQg.jpg  \n",
      "  inflating: cat_12_train/af5bwG4XoylBLcK1C79MirQjYOzksVq0.jpg  \n",
      "  inflating: cat_12_train/AfB2UOtHIPkiRXnWVZrejK8hgFc6aSb7.jpg  \n",
      "  inflating: cat_12_train/Aft7s4yILG9rXTCpYxbmonVEzwdKu65q.jpg  \n",
      "  inflating: cat_12_train/AFtKsbjDuWHQ58U1m7RycEOrdlf9aTXq.jpg  \n",
      "  inflating: cat_12_train/AFvC7Q1PwNhnejiydflZVMH8TIOLu9mY.jpg  \n",
      "  inflating: cat_12_train/aGVMJ9mkvs37CPfZ8nI5N6R2t4AzlEDK.jpg  \n",
      "  inflating: cat_12_train/ah09RBnAr24I7eEdWbZNpMgTtJvf8Csj.jpg  \n",
      "  inflating: cat_12_train/AH7XsrUvKOp3PGufhoIz9Fa01yqE24c5.jpg  \n",
      "  inflating: cat_12_train/ahcTZUbOmJsloVt8vGMjwPqIXd0x9iy1.jpg  \n",
      "  inflating: cat_12_train/AHxQ1GFgRLs802diT3VIlwOoqkW9Sar4.jpg  \n",
      "  inflating: cat_12_train/aIBTeEfdhtiXZ43uFn05N91kqzPMWjVJ.jpg  \n",
      "  inflating: cat_12_train/AieqOGKQC7fgDayW9kLuJ5mUHx4XP2I6.jpg  \n",
      "  inflating: cat_12_train/Ajf8tzBIiaDQSchR72CY39KUvF4OxXqw.jpg  \n",
      "  inflating: cat_12_train/AJl8wHURWzEbSP9KmqpnFB6ZaekVsD4f.jpg  \n",
      "  inflating: cat_12_train/ajUTxteMJAHoXCpZfgGWdzEnshwKmFvS.jpg  \n",
      "  inflating: cat_12_train/alhOQWZtREBSo60nf2qyuUX4PvGNxDkd.jpg  \n",
      "  inflating: cat_12_train/aLpGCn9dq3HvRYZeWOD8yMP7X6bl0Izi.jpg  \n",
      "  inflating: cat_12_train/AlTdnkLQ7paUbhi9xO4zwrG1Rs2jvCmF.jpg  \n",
      "  inflating: cat_12_train/AmOWH1wls8PgxeuDC0FM32RibJBcNyq6.jpg  \n",
      "  inflating: cat_12_train/aMoxSymjdiUwbJ6k5NzGR09uILQ4sEc3.jpg  \n",
      "  inflating: cat_12_train/AmuithWXvpn5yYJQMjNx8eszHTc9LrKU.jpg  \n",
      "  inflating: cat_12_train/ANH67UI1sfGvjrRDpky0eYPLJqnoadiW.jpg  \n",
      "  inflating: cat_12_train/Ao9aFugxNMUJdjlTv4WLzPC32ehqHrZp.jpg  \n",
      "  inflating: cat_12_train/AObNKJzi49hBdonM5FkQp6UPLw7fExTt.jpg  \n",
      "  inflating: cat_12_train/Aol2puB81dL9F7QajItrvbVYkJZmOz6x.jpg  \n",
      "  inflating: cat_12_train/ap6KnC7EOr1YVq5HkvfhSGJ8wxPotjuL.jpg  \n",
      "  inflating: cat_12_train/aPJWFwARCMfZzT5pSOG4VbilqYD6xI1Q.jpg  \n",
      "  inflating: cat_12_train/AqiF7cXLBG6lnombUEhaVO0zuZ8KH9sW.jpg  \n",
      "  inflating: cat_12_train/ar4qDf1SzCp7yngmxkRutXljH8Q0vbcW.jpg  \n",
      "  inflating: cat_12_train/ArBRzHyphTxFS2be9XLaU58m34PudlEf.jpg  \n",
      "  inflating: cat_12_train/arDV8giKeZBT7hPz94LJ3pOcRFM5kNtS.jpg  \n",
      "  inflating: cat_12_train/aRSJC1Wd5DbPA2ZIoYl6ntG30rLpzm7y.jpg  \n",
      "  inflating: cat_12_train/at1EWy09xTc2PLIhGlNeBJXmUvjDH6CR.jpg  \n",
      "  inflating: cat_12_train/aTbg4AD8GvjHlJfCzuVe0qdQIk5m6Kny.jpg  \n",
      "  inflating: cat_12_train/ATfJrSWy5bUnDkcKYIxsC8NqdwOXlgj7.jpg  \n",
      "  inflating: cat_12_train/ATiJrjkRmW5ycSMZL7PoU16CsFevDBEY.jpg  \n",
      "  inflating: cat_12_train/atjvUH2WZXYKIVLEf0bd4eogi8759xnG.jpg  \n",
      "  inflating: cat_12_train/aUDAb96KPZzdSGeWcRy8T4CkOfw1LrxF.jpg  \n",
      "  inflating: cat_12_train/AuOETDvzFwsfdJpm7yMabX6VURNZW0hn.jpg  \n",
      "  inflating: cat_12_train/AvbfNdJqIOj16xyXrFzW2V9aR3gscCSD.jpg  \n",
      "  inflating: cat_12_train/AVGJoCPsX3L6I5Y2M94kEO7vNHmt1Ure.jpg  \n",
      "  inflating: cat_12_train/AVjF31tPnmvgsCXRBaL0HiE8ldrMcpIK.jpg  \n",
      "  inflating: cat_12_train/avV1cWhdEswFD5mYKUz3N2ZOfyJqPkXn.jpg  \n",
      "  inflating: cat_12_train/aw4HFnBeZN2Eg7Yc8lUWi51KkfOuVyGj.jpg  \n",
      "  inflating: cat_12_train/AwS1uxImcsri06bXWDFMlJyaft3gC89R.jpg  \n",
      "  inflating: cat_12_train/AyKM92EzDFWCZmSnRwut8Qr7bdUvI0Ji.jpg  \n",
      "  inflating: cat_12_train/aym47Mr9Uz1q6IRc0Xe5uiF2DvAdjpYJ.jpg  \n",
      "  inflating: cat_12_train/AyMSxjCRBni8aJTZrs4I7QvP13NfDz2e.jpg  \n",
      "  inflating: cat_12_train/AyqImDJhOeb3Tw5n1xi9RpdcH0CUBaYv.jpg  \n",
      "  inflating: cat_12_train/AZncKEzs5JQ0mTbGyMaHBkY4Uv7r8RSP.jpg  \n",
      "  inflating: cat_12_train/b04SeiOuCPsHv9XWtwQDA2y6RnkL7azd.jpg  \n",
      "  inflating: cat_12_train/B0a2VHnwQv1byMDTlEiOJXxI7Scs9Zjf.jpg  \n",
      "  inflating: cat_12_train/B2MlFc6EKOQVCU5TnGDHRoduZqs1zjrb.jpg  \n",
      "  inflating: cat_12_train/b57SiGKYPaE1DrfxJtVeQdlOAUojLZhR.jpg  \n",
      "  inflating: cat_12_train/b5ptAhdoevyZkusrLP0MJOxD2a1Ylj4X.jpg  \n",
      "  inflating: cat_12_train/b6CKsNVo0winGu8vR1HpB5ED4qaQSm3T.jpg  \n",
      "  inflating: cat_12_train/b8hdzKP2tyVFswW0QX6O9leDZS1kUN3i.jpg  \n",
      "  inflating: cat_12_train/B8iczGg04OfordLRDhUSwNxkbTsjA5aM.jpg  \n",
      "  inflating: cat_12_train/bAkDdGla0uRToMZKCijO2evpzr9E8t5m.jpg  \n",
      "  inflating: cat_12_train/bBSyKfiTV2WLnQ9GePsct5FEHZ4vUmoA.jpg  \n",
      "  inflating: cat_12_train/bc0KHqie2zQYoUDS6rL3pTau9WBtygFA.jpg  \n",
      "  inflating: cat_12_train/bcpmBz2WNoKVXORYAP1sH8CQGDuSxIkM.jpg  \n",
      "  inflating: cat_12_train/bcYoaX2Q0nyDP5KWmCqMJGtgEkfVhvpu.jpg  \n",
      "  inflating: cat_12_train/bD1QLIHmpOxXFWZVfMgcaJvhA53Konr0.jpg  \n",
      "  inflating: cat_12_train/bDJBdyNPtsX3ET2oS0fOejKv7ARZM8Lw.jpg  \n",
      "  inflating: cat_12_train/BdmUvZcE5X9tFGRJfuNxVT2IzY0jbH7C.jpg  \n",
      "  inflating: cat_12_train/BefRTuU6Yz3KIx281onpZdv4CcyPwkt9.jpg  \n",
      "  inflating: cat_12_train/bEkVJ6cdRWyXjl842umngODsBfhTIUte.jpg  \n",
      "  inflating: cat_12_train/bfaCOlHXEG43gTFxVcLS0Az7PNWquj61.jpg  \n",
      "  inflating: cat_12_train/BFG5RfJhPLvxVMI4ySsjwne1AErHc3ib.jpg  \n",
      "  inflating: cat_12_train/bGpPRkMusTIqeDFWiSgCVdXj2vQ35lEo.jpg  \n",
      "  inflating: cat_12_train/BH6daPxjGfMUSyQzgXpniNYo0e8smbTv.jpg  \n",
      "  inflating: cat_12_train/BHFb9Rym0AldXJLc3i2Ix6r7pSMKqkvo.jpg  \n",
      "  inflating: cat_12_train/BhHLRN0QTWOwl3UEG9J17XScni2P5gVe.jpg  \n",
      "  inflating: cat_12_train/BHpcUnaqhwzNRriKF8ZP6LueT7tWCd2O.jpg  \n",
      "  inflating: cat_12_train/biDdT27HRquS1En06JsCpeXVgtwjxNY5.jpg  \n",
      "  inflating: cat_12_train/bIlxgsuB5iWQwzPrmqfoZtD1X8nAacvy.jpg  \n",
      "  inflating: cat_12_train/BjF9wTmXCONM5HQizbLAful2xPdI6YKp.jpg  \n",
      "  inflating: cat_12_train/BJhoP0l9kAgmyTbaMGRrOND8wjX4U5se.jpg  \n",
      "  inflating: cat_12_train/BjWieGnrq0zpFaAmNyTvLfc47hOKRgSM.jpg  \n",
      "  inflating: cat_12_train/BKaot5HnyCcpfIzj4PsQ9SluEbmvgUqT.jpg  \n",
      "  inflating: cat_12_train/BKwfX78onFuc3SD6MejZ1yrmz9PvpLYx.jpg  \n",
      "  inflating: cat_12_train/BLnEUvorlkN8TbKI6QWZ7fH3Jg4dYst2.jpg  \n",
      "  inflating: cat_12_train/BlY0b6hLEMT3eX2y4iqPIZz8JGDs19rp.jpg  \n",
      "  inflating: cat_12_train/BnFl3L492cxHNdzGvDVbA5gs6ho7WwTf.jpg  \n",
      "  inflating: cat_12_train/bNswRXKpGJVtOiUk6CnvS0g9Pe1mduWz.jpg  \n",
      "  inflating: cat_12_train/BnZJSxwOokzy2A9bacpUGvf3e1Ed0Hir.jpg  \n",
      "  inflating: cat_12_train/BO3Uho1VvHyKrCfxci2wTn8mNFsYZE5Q.jpg  \n",
      "  inflating: cat_12_train/Bomb9rRxnewkE4h3TsMAVWFXDqZgCi5y.jpg  \n",
      "  inflating: cat_12_train/BOmo5yiKzMGV8qvleRIdLQC4bZcPxwWD.jpg  \n",
      "  inflating: cat_12_train/BoqvLSfbTUeu17C4JXkdM5NQsytPxaWR.jpg  \n",
      "  inflating: cat_12_train/bPnUjXm3H5JGegAV2YMFQLNkl4rdyKo9.jpg  \n",
      "  inflating: cat_12_train/BpUN6jPak0HrZCD2f1ceLw7MsQnXyVGT.jpg  \n",
      "  inflating: cat_12_train/bpVXhevAOBs0YyCgr9uGZJdi1zjH3xn7.jpg  \n",
      "  inflating: cat_12_train/bqRVATEuI4x3kJSO9DitWjYms8KoG2Lz.jpg  \n",
      "  inflating: cat_12_train/BQSUPMLWa6kZXYziwJmOye923rv48R1g.jpg  \n",
      "  inflating: cat_12_train/brDsLYVyin85QFN4mSOo13zgpHvwC09t.jpg  \n",
      "  inflating: cat_12_train/BRhFzPqIMa9tvsoK1U78x3eSiWdEYkjb.jpg  \n",
      "  inflating: cat_12_train/BrLW2TJmQzxIalp4MNC0siU1HhDdVSEt.jpg  \n",
      "  inflating: cat_12_train/BRm7nJksiMEHCZjTcz1g0G39PNLwqflt.jpg  \n",
      "  inflating: cat_12_train/brmEO4SvsLfa0p7JdHTNDwPQeR1AY5Zu.jpg  \n",
      "  inflating: cat_12_train/bRr7Eh0LGsHeUvS2taMdNpgqnDfBW8Ac.jpg  \n",
      "  inflating: cat_12_train/Bs2ZVWquCA7NgvyKIifpjcYH6o84kTeJ.jpg  \n",
      "  inflating: cat_12_train/bsDhIX2y9KNPq0VotaulYOc6gJWE3SAx.jpg  \n",
      "  inflating: cat_12_train/Btupa3VIzqiNdMRGP56hWrOTmYE2sj4c.jpg  \n",
      "  inflating: cat_12_train/Btxe1F7oEb6WZn2cz3gUKiqVju9dvMNy.jpg  \n",
      "  inflating: cat_12_train/bu7IxJyjEeH5XazOoQSY34cDA0lCK98d.jpg  \n",
      "  inflating: cat_12_train/bUctLXTnmR4JaduGHgisvxE2SpI61CZV.jpg  \n",
      "  inflating: cat_12_train/BUHQvobth6xL8p1M0aXlKzWfI9FCRAP2.jpg  \n",
      "  inflating: cat_12_train/bvLlw4xtNguITmyd1GCBXQHo98M36qVh.jpg  \n",
      "  inflating: cat_12_train/BwaM27vPTVEFIR46CDNLQ3YZeutrqKJk.jpg  \n",
      "  inflating: cat_12_train/bwRFtOzG28VAmpshSgM7KJ3Ek1r6iH0u.jpg  \n",
      "  inflating: cat_12_train/bWSZ0rkC4KtlOoJdIHQqDhc7yEsvUGVp.jpg  \n",
      "  inflating: cat_12_train/bWZeS3a6tBxslkKCV2rYzwMgRP84N7Xv.jpg  \n",
      "  inflating: cat_12_train/byC87AsIh1Rv9FS5ipBuj4rcgDfMZtln.jpg  \n",
      "  inflating: cat_12_train/BYU6QDrqEPW5XzKRFacMe9s28hpTLjZd.jpg  \n",
      "  inflating: cat_12_train/ByYKkZHb8omRPcvfe5GzXsxOQ3DlLuUq.jpg  \n",
      "  inflating: cat_12_train/Bz18saGxgd3DO2qpI6YC9PZo4bLrhjm7.jpg  \n",
      "  inflating: cat_12_train/bze6ASEcaQRkP4pHBtisDU3OXhxZgVj0.jpg  \n",
      "  inflating: cat_12_train/C1idvOutV4mj5TRLMQEl9DPkrqUWK2zf.jpg  \n",
      "  inflating: cat_12_train/C1S0phz47FUTkjdlaPb65MqOAn9uXWLJ.jpg  \n",
      "  inflating: cat_12_train/c27CEgbPVmSGy6MqWH4DN3tkXIpl1i5J.jpg  \n",
      "  inflating: cat_12_train/C4mebxXtljQDuROIfHWY27iPa51zyG6N.jpg  \n",
      "  inflating: cat_12_train/C4oTj1PbUcWiYQdNn2laEBzGV95DL07e.jpg  \n",
      "  inflating: cat_12_train/c7mYoMK90fqk6ZxIjgdelrPX35bAsWQt.jpg  \n",
      "  inflating: cat_12_train/c8VjBhzJ9K7SUD0sdY6Nx1bERTfy2ZHl.jpg  \n",
      "  inflating: cat_12_train/C90JrO7zgjHkcoDxhaLn8mYSK5wNP34V.jpg  \n",
      "  inflating: cat_12_train/c9dpj5RFHvKWEs3JzOLMBVZQSeIfbDC7.jpg  \n",
      "  inflating: cat_12_train/CAUQVEg4y75erub3fX6GKnZTPma1tjqc.jpg  \n",
      "  inflating: cat_12_train/cb7ZM15nReoPt8GULy4mBX3lxjfdOJwW.jpg  \n",
      "  inflating: cat_12_train/cb89GHdygKXvmkCsxMWVnAwTBe23hpQz.jpg  \n",
      "  inflating: cat_12_train/cCeBo4EJ9H1hbXsIS5G6Kxdzg27nwqfy.jpg  \n",
      "  inflating: cat_12_train/cCfyu4xKpQomY5hNUMaqO2HkAiX1egBG.jpg  \n",
      "  inflating: cat_12_train/CDG5VPlQ6syhgOFdL3AI10cfYSq9Nkp8.jpg  \n",
      "  inflating: cat_12_train/cdwLkeqZn6QJY8PCjM5WiKfGrxhB4OmU.jpg  \n",
      "  inflating: cat_12_train/CekKREs3iZuJYh56BWqfL04Vgz7Qxptl.jpg  \n",
      "  inflating: cat_12_train/cElGKqNTsOHApYI2Ckoy8Z7UvhQ0Sua4.jpg  \n",
      "  inflating: cat_12_train/ceqPJy5I64EL3Tm8KdpNa9WHxzS7rGZQ.jpg  \n",
      "  inflating: cat_12_train/Cetid6wmIPWZ5kgKrMOYzGAEoH2XLylx.jpg  \n",
      "  inflating: cat_12_train/Cf2Z3j6hYliVOduEvK5NJp4yba0wSGcA.jpg  \n",
      "  inflating: cat_12_train/cf5sRPCH9aYb8oLFgWXAJZQvqipeuTKw.jpg  \n",
      "  inflating: cat_12_train/cfXBaTRekVUsN8nrPldh4uOMZ7EjmoJv.jpg  \n",
      "  inflating: cat_12_train/CFZ9aYGiRvcN8Ej41XfnymgItzOMVDrU.jpg  \n",
      "  inflating: cat_12_train/cgeh7E0wtiTxJDbPWoa9f8KZBsU1z65A.jpg  \n",
      "  inflating: cat_12_train/CGUO1mv0zeVkyQi6LDdIJZWAfMYSnPt5.jpg  \n",
      "  inflating: cat_12_train/CI4Nj8UyopMO3QR2dea9SYbVvZsiTDc7.jpg  \n",
      "  inflating: cat_12_train/ci8fl9u0pESgHUNowOAIymLTebGPFW2K.jpg  \n",
      "  inflating: cat_12_train/CiBq0GVawv1rdYyLDjcWoIXP6SKbzH8F.jpg  \n",
      "  inflating: cat_12_train/cIfTNJzpynxK4FmbsZG0Wuia8A9BD5gk.jpg  \n",
      "  inflating: cat_12_train/CIihl8A9nu5q20NKkJBSYaWf4LFmZb7E.jpg  \n",
      "  inflating: cat_12_train/Cj3dRESX6BPWuiUlFfMket9AJ750aLc2.jpg  \n",
      "  inflating: cat_12_train/CJAMt2svFcVB0uyHXShpkNKW8e6TGZUL.jpg  \n",
      "  inflating: cat_12_train/cjfykIGMg3AVPzBe4tQKOwNqYEu7dLlT.jpg  \n",
      "  inflating: cat_12_train/CJsAFzH4Q7cxnjavf6eNGr5h1LqUwPDT.jpg  \n",
      "  inflating: cat_12_train/Ck7A98S3Rds6EluQnJwDHXg2GbZqeM5r.jpg  \n",
      "  inflating: cat_12_train/ckzImoaeX9FWT3jv65Vngy4CsAPiwxh7.jpg  \n",
      "  inflating: cat_12_train/cL8beGvEHwRxhgaXTQZl35F0r71yAV9d.jpg  \n",
      "  inflating: cat_12_train/CLbrGyln7zMt8HvQIj3gJsWPAR9feNS2.jpg  \n",
      "  inflating: cat_12_train/Clkc2Xh6GRtdDyB0jxHpTfVFsvUNL7gi.jpg  \n",
      "  inflating: cat_12_train/Clwy37oXOW4PqAVfmRNFxrjpBJg9SUYI.jpg  \n",
      "  inflating: cat_12_train/ClYUmL31SrPgyuE2skHoOiXnjx9zh68e.jpg  \n",
      "  inflating: cat_12_train/clzj0uIiCwWrLPYTyq8VQvsU2KE4Ak3x.jpg  \n",
      "  inflating: cat_12_train/cMklCna8FmdI3RgBzTqb9xwE5ZeiNA1L.jpg  \n",
      "  inflating: cat_12_train/cMnmg2h8uI9EGPFZyJHoTALCe45adxY7.jpg  \n",
      "  inflating: cat_12_train/cmnQEzvoHxKaq4YBX7pRF8iU5P2AWO0b.jpg  \n",
      "  inflating: cat_12_train/CNdicUQOkJ38HtWFlERjnSqyhfZz159b.jpg  \n",
      "  inflating: cat_12_train/CNlauBXoFj4Z5g7J1iWO3kxe0ErwGzTQ.jpg  \n",
      "  inflating: cat_12_train/CnofVITJ5UgQaqkF7Ow4u0lx29BtmK6i.jpg  \n",
      "  inflating: cat_12_train/cnrBA49IskyeOqElPNTFp7Qva6KZW2oi.jpg  \n",
      "  inflating: cat_12_train/CO7urkLb3PWy5MdSnGETwIVgp604Qesv.jpg  \n",
      "  inflating: cat_12_train/COJUByb07wYXqcTMovWFnAgpNZk1SxrI.jpg  \n",
      "  inflating: cat_12_train/coKayMmpOTzwl6Gfe9vk7ijxVu5SHEgN.jpg  \n",
      "  inflating: cat_12_train/corJGgTB2mX0a6FnwHP4shDeiyqpQY5W.jpg  \n",
      "  inflating: cat_12_train/cOwe7bhv9CoVL24ZpI8XJsNiPuGl3gqn.jpg  \n",
      "  inflating: cat_12_train/cpeChH06slWFYbEw3njoL2Gt9aJzTM1r.jpg  \n",
      "  inflating: cat_12_train/cQ3AJSYuRM9V0T2WwLfqy4Etbs1NeBFx.jpg  \n",
      "  inflating: cat_12_train/CQDV14WRAUul8NKHSsYyemkdtfG3XIav.jpg  \n",
      "  inflating: cat_12_train/cqkJDEpWiwS69UxFtKMPRgb4mXhj1LAs.jpg  \n",
      "  inflating: cat_12_train/cqxnN5SDiOAUvYuE2aKg8JwlfjLPHtdR.jpg  \n",
      "  inflating: cat_12_train/cs0v3bRBxjHO9qwzETomZFiydDta4UVL.jpg  \n",
      "  inflating: cat_12_train/CSE0LHDsx9q41INofFh5nVPr8b6jylAp.jpg  \n",
      "  inflating: cat_12_train/cShwQesPIfmD9Tp2vUaFVG5d34kJBzRq.jpg  \n",
      "  inflating: cat_12_train/csP4IAUDOrN7xnhdabLgjuYV8m2zEywo.jpg  \n",
      "  inflating: cat_12_train/csrmyNhkZagXveYEK2VfUwbtMAD36Ln8.jpg  \n",
      "  inflating: cat_12_train/CTAuF1YUhNmwnI6E3LolX92s5xPqdvkR.jpg  \n",
      "  inflating: cat_12_train/CthlE1XmLgpzSadDRIjN0n2B4yYJVqW6.jpg  \n",
      "  inflating: cat_12_train/Cudvsw6ZW2BSDVIcloKep40tbhiUYM1L.jpg  \n",
      "  inflating: cat_12_train/CuiZdQrv0oMwAW2U5t4OlGYpPJ7TfEc3.jpg  \n",
      "  inflating: cat_12_train/cv2stRS3K71YGIeJVoWhfjANTOiMpubd.jpg  \n",
      "  inflating: cat_12_train/CV4rkOXvwSj1qnHL2yfGc5YIo3tu8UEl.jpg  \n",
      "  inflating: cat_12_train/cweqCoxHgvKDtFUnpIbV4OkJRu769YAi.jpg  \n",
      "  inflating: cat_12_train/CxzKUAIVke4Tujw9ivaoBSOnhps3D5fP.jpg  \n",
      "  inflating: cat_12_train/cyHQbkCuBoXpVfaYNDlGFt7dOnWvJ8EK.jpg  \n",
      "  inflating: cat_12_train/CyZMkpK8D4Q319sYdGEauOV7fhBj5Ftz.jpg  \n",
      "  inflating: cat_12_train/CZIeBzw5MxuftRWmKnv12ksd3Al9760G.jpg  \n",
      "  inflating: cat_12_train/CZmnFAfk2ijhLP64zxy8DWY5NrUcR7QS.jpg  \n",
      "  inflating: cat_12_train/D0gWHAKPN52SET1skGmCzQ6Oojle4vxp.jpg  \n",
      "  inflating: cat_12_train/d0KMyevgElROB78xrFWah2QS1CqD5AIs.jpg  \n",
      "  inflating: cat_12_train/d0scpZqPTVuXwAir5z2Qn4MxjBIWvKO9.jpg  \n",
      "  inflating: cat_12_train/d2bM3fex6wXvyonGKScTi8zQgHBP0Jam.jpg  \n",
      "  inflating: cat_12_train/d3kZmRqSu8jElvWCtoswQhBnI9K6DJNz.jpg  \n",
      "  inflating: cat_12_train/d4EGzQxAUX80vJeliH7NpoRcsgkBafK2.jpg  \n",
      "  inflating: cat_12_train/d5CjqSmOeXn4YFipk0gH1JIv9tPD7yZQ.jpg  \n",
      "  inflating: cat_12_train/d92KCU6giftr8uXYcTGn4BEzWeVw0Oyo.jpg  \n",
      "  inflating: cat_12_train/d98K0lnahFEmvktVMA2sgBYRwyHbGI4i.jpg  \n",
      "  inflating: cat_12_train/D9yaVjUg6F3CMS154RPuLlQdvs8KeY0I.jpg  \n",
      "  inflating: cat_12_train/Da2VbH6L9S7vWMQRZ5w3Gro8Oup4m0ke.jpg  \n",
      "  inflating: cat_12_train/dATVaJpjfc4GDCotgOiEz6UeP8R7unHZ.jpg  \n",
      "  inflating: cat_12_train/DAuIL8qhRWVoF7k31lpiP9tN6mZvjHSC.jpg  \n",
      "  inflating: cat_12_train/DBlkxtu4hUOnPzyAKH5Cw8c3SmFs0XrW.jpg  \n",
      "  inflating: cat_12_train/DBN8Pt6CKMLg0QVzOjmUHaI4qpscfvwT.jpg  \n",
      "  inflating: cat_12_train/DbXaTs8WgFfldEKViMq50pZR9uGxrB7L.jpg  \n",
      "  inflating: cat_12_train/dc5IFQ9MmiA0BpN4VnbTSrZlkPKaY27D.jpg  \n",
      "  inflating: cat_12_train/dCbAgfrWEXG8y91e5Jac2zwYZpTMvjR0.jpg  \n",
      "  inflating: cat_12_train/DCrqUQlc3pbJs1nKNX8vaILHW290iAgy.jpg  \n",
      "  inflating: cat_12_train/dD4xXFeH1GVkz78BnCWTKrbRUYOlNiZt.jpg  \n",
      "  inflating: cat_12_train/DdycHC9gB34orWAIMGliPuZmnxOq5aNV.jpg  \n",
      "  inflating: cat_12_train/DEC9AK1P654Q0uGkFSM8zXNhrLV7Ii3w.jpg  \n",
      "  inflating: cat_12_train/Df61uXEtYSMWBUOGQexvLinF2wJry7mj.jpg  \n",
      "  inflating: cat_12_train/dFw2MBOpzWl0GDS1gPovaQEbumsXTNxt.jpg  \n",
      "  inflating: cat_12_train/dFZ4iBvjWlYfKM6XeyL3OP9gU02V8nr1.jpg  \n",
      "  inflating: cat_12_train/DFZNx4yKS1a365kMXucwQnflBTeJGdop.jpg  \n",
      "  inflating: cat_12_train/dHJn0vb8XoSTM4DPG965fQ1swczARBel.jpg  \n",
      "  inflating: cat_12_train/DhK8rUJI5mfgGO9YRVW7T2FbE0HXsd4c.jpg  \n",
      "  inflating: cat_12_train/DHKNWuIrnovRY2Qifx0UaZecXFydgl8S.jpg  \n",
      "  inflating: cat_12_train/dHponhK6ZyU1liuIMjOaQv4Dc5XqSbwk.jpg  \n",
      "  inflating: cat_12_train/dhqX1PET8Ku4f2JHwNS0yCpxtlzmYr7c.jpg  \n",
      "  inflating: cat_12_train/diuClXZWtU648BQmkMxaR5fycGPYSIFK.jpg  \n",
      "  inflating: cat_12_train/DJLkTczsIoVjWer49Ha5uNEvbZXOK7Un.jpg  \n",
      "  inflating: cat_12_train/DjYN2zP6xMfRBOvAn1ILWkTw0cqEUorb.jpg  \n",
      "  inflating: cat_12_train/dkGENuq51DfcehUwimFx4CvJjOPS7HgA.jpg  \n",
      "  inflating: cat_12_train/DKkQylbgdrWRjYap63MCJe0UBLhcHXPm.jpg  \n",
      "  inflating: cat_12_train/DLIZr5TjPepd8csioJXMbYHk94RmKx6v.jpg  \n",
      "  inflating: cat_12_train/dluQtDOsmJX5MFjqyNYbnAV9z7f3k2Pp.jpg  \n",
      "  inflating: cat_12_train/dMFe2JRt7PzbvcQNVIs196qfUw3lYH8k.jpg  \n",
      "  inflating: cat_12_train/dnNxH57G9ibeshkYJzMBU0pKoCuX1Sfv.jpg  \n",
      "  inflating: cat_12_train/DNz3QnJGlcICM40LX82tuApfoRPiwvbT.jpg  \n",
      "  inflating: cat_12_train/dOaohlx30fZ8KtVEWwG7y2CjgrHqzpU5.jpg  \n",
      "  inflating: cat_12_train/doQpw8LqTXarV7B5AWxGMSmJueKzvy2l.jpg  \n",
      "  inflating: cat_12_train/DoRLrt4FGbAB8dlcJzjM0k5agNEnfQSZ.jpg  \n",
      "  inflating: cat_12_train/dOS0Jg3aZMhTqsrUj5u2Lc1QCfKEInPY.jpg  \n",
      "  inflating: cat_12_train/DosPpjW4BJabY2TktLwXOI1zN6Qr8vGy.jpg  \n",
      "  inflating: cat_12_train/Dp4PlrgZWH6FQE51IJzKCS7jMbYsUadT.jpg  \n",
      "  inflating: cat_12_train/dQfiDLhHPOV312Ku06CGABbWnkqp8Fc7.jpg  \n",
      "  inflating: cat_12_train/DR2e67Xx5lhsOYBmgdZyVFzNak9nM3LS.jpg  \n",
      "  inflating: cat_12_train/dSJekychrf7RTs4Il3tWowxPv8Gi9Uzu.jpg  \n",
      "  inflating: cat_12_train/dsQzBuPqG6eHg0SJNco5rvXLmUZbVClW.jpg  \n",
      "  inflating: cat_12_train/dTih7HczNKQRZbmApFurIW6ngOjDXV9q.jpg  \n",
      "  inflating: cat_12_train/DtTIcsNnklLhgjmKJdPVU81AzfyraGOX.jpg  \n",
      "  inflating: cat_12_train/dUl91hwryGPYf8NmiHe3FjRD04pLZEnz.jpg  \n",
      "  inflating: cat_12_train/dV295epacR7JEGQolOr18vzjSyDTNHKg.jpg  \n",
      "  inflating: cat_12_train/DvBSKbLY1CNsgpXIxRuHr6QUjGdye2nz.jpg  \n",
      "  inflating: cat_12_train/dVq75IjMDtkFBKPoT213bzlJLsxQCUWS.jpg  \n",
      "  inflating: cat_12_train/dwM2sFWZA7cUJvCmkLuT8D13zeOtoX6l.jpg  \n",
      "  inflating: cat_12_train/dXRKo6Zq17rEMuzhOpsF8QVYigLAbkyJ.jpg  \n",
      "  inflating: cat_12_train/DxrO2KyRz3feZovi9cqjLBb7ptdm5sAw.jpg  \n",
      "  inflating: cat_12_train/dxTpDCzS6LPWZaBhE0vyFY17tU32Hmif.jpg  \n",
      "  inflating: cat_12_train/Dy251GW9NS0pgtzCYETIPdiOBune4FUb.jpg  \n",
      "  inflating: cat_12_train/DyRJxUHTN3rS2BOIkVLanohu01s4PYwQ.jpg  \n",
      "  inflating: cat_12_train/dYxAwQVtkzSGNoZgEC5vHa9Ueri6fJ1D.jpg  \n",
      "  inflating: cat_12_train/dzV1Psxncp6H8g4KWhX3mbrTfqwuLaNv.jpg  \n",
      "  inflating: cat_12_train/E01Y3NapFBWdCT68vnkGieM2rS7hDPlA.jpg  \n",
      "  inflating: cat_12_train/e0NgwWFBEKQ8mCuibS3Va45oOtHRDrjT.jpg  \n",
      "  inflating: cat_12_train/e0Wy5Qa9jscoiSgRzlTVtZr1H7nAKJhM.jpg  \n",
      "  inflating: cat_12_train/E38k6xhQFYKALn4tDlwiPBfpdCygeSNs.jpg  \n",
      "  inflating: cat_12_train/e416wAERYOQ7NutUJDcIVFk2oPWpC3q8.jpg  \n",
      "  inflating: cat_12_train/e4MvYotJlEQ26WDy93X8Vj50sUSadz7O.jpg  \n",
      "  inflating: cat_12_train/e7f1iucltpVQTXroFR96xawm2BDZYnNG.jpg  \n",
      "  inflating: cat_12_train/e8jvwQ1FKqXxZtO2H4RmpISA0Y7lWLUd.jpg  \n",
      "  inflating: cat_12_train/eALgdSCB4bpI02x7fWJkN6QPG3RYrMF5.jpg  \n",
      "  inflating: cat_12_train/ebo2BGp1T38KUhunQvwEVrP5ytxg6sCM.jpg  \n",
      "  inflating: cat_12_train/EC7bIDw06LOJ4jmVNYRg9aPfyk1ThWKG.jpg  \n",
      "  inflating: cat_12_train/ECa46QZOx5omn8fikLzUV0eM3NvPAlur.jpg  \n",
      "  inflating: cat_12_train/eCKtTp4zLZOakWmfuEYd6bGNo82gMlX1.jpg  \n",
      "  inflating: cat_12_train/eD2A0HKckjzGV1nFJ45ZTMgEb76CxvoB.jpg  \n",
      "  inflating: cat_12_train/eD4gfaQTFdoWUCnhPj6YmIZBl5AMxNik.jpg  \n",
      "  inflating: cat_12_train/EdBGUWeiua6mlkC0FJDI4N5wgYjRXZTH.jpg  \n",
      "  inflating: cat_12_train/EdIBWn5u2QyPU8ZNzXGrLoR0pKs6TvAC.jpg  \n",
      "  inflating: cat_12_train/EDLgU9I4ivt3PKRHXACNlsjWoSJ6B571.jpg  \n",
      "  inflating: cat_12_train/eDVGJi2vMFHEcpQIbfh6OBuAwTPdCZL5.jpg  \n",
      "  inflating: cat_12_train/EevuO0B7koK9Z4RHYrSdl1DsTNxVjhXy.jpg  \n",
      "  inflating: cat_12_train/Efj8tb2nI1z60Mm9PqWLdB7TgyU5XaSw.jpg  \n",
      "  inflating: cat_12_train/EFxXsVJ0qHkomcBhnLfY96W5U4yOliQG.jpg  \n",
      "  inflating: cat_12_train/eGWuP90tEOoB4nXahKxsAbMrmjNLZVUg.jpg  \n",
      "  inflating: cat_12_train/eH7wpSINZ8XL4MFsigo1tuclaVqG90Kv.jpg  \n",
      "  inflating: cat_12_train/eh9oTMgPdsG1QUAz0OJyxnHaF7NIREK5.jpg  \n",
      "  inflating: cat_12_train/EI3bUli5QMmf2ApkqrW9oXTytL1jeZ78.jpg  \n",
      "  inflating: cat_12_train/eiaGPjt1mSCdgYyKp4IxvDol7M5sZQ8u.jpg  \n",
      "  inflating: cat_12_train/EirD3Wg5K1VsRA89IY7Tpbjye2HdCZuv.jpg  \n",
      "  inflating: cat_12_train/EKd3AfYzrTb4HkG1UNc902gx5LFsJROV.jpg  \n",
      "  inflating: cat_12_train/EKYZbx5dh3Q9fkpAmRLavnSIiNyBgUD0.jpg  \n",
      "  inflating: cat_12_train/eLapMTFzf5Nxn9HywAOvrom7uqlhb0gU.jpg  \n",
      "  inflating: cat_12_train/eLExdnsJTQUGW5SMh9ZiRVbA48j0NK2t.jpg  \n",
      "  inflating: cat_12_train/EMxtvcJFSWjrCnbzksDlK6op4aVGXwOY.jpg  \n",
      "  inflating: cat_12_train/enBLrFWDqE6NsdVhSMO1wA4HXxa7TkJ8.jpg  \n",
      "  inflating: cat_12_train/eNcdsIhKfDMBGyovVRuWTpZCQAlPY3t9.jpg  \n",
      "  inflating: cat_12_train/ENR6WHDpQoqrJnv2f9UKbXP1ML5ICV3h.jpg  \n",
      "  inflating: cat_12_train/EoFT4Q1fc0nxtZXYV3dLk7laqbOUJjuA.jpg  \n",
      "  inflating: cat_12_train/EoNTgGVLy4XadZricb8wkeQFWIDPJMtA.jpg  \n",
      "  inflating: cat_12_train/EPNrfClFL9Oan5yT3kYZ4ohegd0m1wjU.jpg  \n",
      "  inflating: cat_12_train/Epqms1yZcxhBrTeHwV4Qb526gJfO0D8A.jpg  \n",
      "  inflating: cat_12_train/eptYXwZmHVfBzLvuxFr8gIJCNTy0dGsh.jpg  \n",
      "  inflating: cat_12_train/eQDJS3qIldCL4mrpz5Y98fbuM2NUK0sk.jpg  \n",
      "  inflating: cat_12_train/erIj8iPpVXMBZLJ9FaqKD4G0wx2Styoz.jpg  \n",
      "  inflating: cat_12_train/erqxEsyLw4f0KWchCS8HVBbnoADvXT91.jpg  \n",
      "  inflating: cat_12_train/esDZdbAq5SjgPYaoz2EFyVCnJNcHTMiB.jpg  \n",
      "  inflating: cat_12_train/ESFcrfq1H2ijXuIWxpwb0eZolVmTKAQY.jpg  \n",
      "  inflating: cat_12_train/esZGvSxnP2tXVYlrC3oB4MTi56qfLjHz.jpg  \n",
      "  inflating: cat_12_train/eta3L6XczhJRKIOkYAovqZsnFD4Buf07.jpg  \n",
      "  inflating: cat_12_train/etRBCIxYN26lASow51FmrMKP8aLsbqDU.jpg  \n",
      "  inflating: cat_12_train/eTvKNsubWqSc8oFQwBOYGEtLV7a9xJ3n.jpg  \n",
      "  inflating: cat_12_train/EumTdWDe2ZsjwCLa3zxVFbHv8yQIp0Mg.jpg  \n",
      "  inflating: cat_12_train/EVAZNOz39Ur4GjTtqvP0dK6SbMwnaHpC.jpg  \n",
      "  inflating: cat_12_train/EvmapIscT5Rd2qe73KkxygJZb6SLFuz4.jpg  \n",
      "  inflating: cat_12_train/EWCyZOrhg12GRuQYdkUViNm8X7qIBte5.jpg  \n",
      "  inflating: cat_12_train/EWgtuchs5ZoKjvmpiGVNObUI83R9CArz.jpg  \n",
      "  inflating: cat_12_train/ex5qtMEVX0rOYK1kuZ9DhR4dmlIfybTs.jpg  \n",
      "  inflating: cat_12_train/ex6gb5L2C7qOIM1DpF3SWwz4AVQTHkZm.jpg  \n",
      "  inflating: cat_12_train/EXHNjQW3mJVx4hCBi5gUp9tbk7ezFwnZ.jpg  \n",
      "  inflating: cat_12_train/EYL5ycIfVt27CrdOSiD8bwPvMFKWeGlq.jpg  \n",
      "  inflating: cat_12_train/eYms85lSB3oxAcNfMJtLWOF4ZHpXaTu7.jpg  \n",
      "  inflating: cat_12_train/eyZn6AiXoLtOFmQHUcr4PvDxN01SbuIG.jpg  \n",
      "  inflating: cat_12_train/eZIlaxduqMTFYGHUj1gcLQDpy8Vk275z.jpg  \n",
      "  inflating: cat_12_train/ezo1GDRNt8gP4xUrfsKaAEIc75FLd9ph.jpg  \n",
      "  inflating: cat_12_train/EZRqzOjiVs4eu0FdbwPAt31mo8Mchy2D.jpg  \n",
      "  inflating: cat_12_train/f0CwHRVFPbrEcUiuoB9YSqQkpxXLlGIA.jpg  \n",
      "  inflating: cat_12_train/f0LEeqv47ahBH6XrpOm98JAxSogyz3ui.jpg  \n",
      "  inflating: cat_12_train/f0OPNRI4okAXnmBsbGq6K2wMTDEeajlt.jpg  \n",
      "  inflating: cat_12_train/f0wj5R9vba47VSJy3PHdY6sGBDTMQnLq.jpg  \n",
      "  inflating: cat_12_train/F0XE8SmUGI1soxPa7RQ5Yvb6pgAfLDeH.jpg  \n",
      "  inflating: cat_12_train/F18zaBdlNy3rVCDItwZU2u5TEHRWsAh9.jpg  \n",
      "  inflating: cat_12_train/F2AvEaJVh5uxSlYMwRkdWmUXoBqQzbZ9.jpg  \n",
      "  inflating: cat_12_train/F38LO2YmR9SDnshorTzeqCuKBiGW1Pdw.jpg  \n",
      "  inflating: cat_12_train/F3JZfIskVjoiwdK9SzEB0DhGqbWrTe45.jpg  \n",
      "  inflating: cat_12_train/F3VnNwb2K9tgMWLodrXl1f6PIEjYqhy8.jpg  \n",
      "  inflating: cat_12_train/F48LabYvghlTOU9MAyBrxeqw3CpEK2V1.jpg  \n",
      "  inflating: cat_12_train/f4gLhHjyKdxTumna7F5pGWPqVIRY01et.jpg  \n",
      "  inflating: cat_12_train/f7t9LOXJ4yzRpTIC60lPdF2ZswEnv38q.jpg  \n",
      "  inflating: cat_12_train/F9HDIhzcaeVkBA0EuNWgr7ZO2YQ5pLCs.jpg  \n",
      "  inflating: cat_12_train/FaOcYJH01PLTyjkdDQNuewzUm895sbR4.jpg  \n",
      "  inflating: cat_12_train/faSxRokdIP8sGe9w37C4YOQ10uFiNqHm.jpg  \n",
      "  inflating: cat_12_train/FB71YJ0ANQU68gP3iWsd9HGEwMeROhCf.jpg  \n",
      "  inflating: cat_12_train/fBKFqvRNCn6t2h70yJrkAXUGszEP9jo3.jpg  \n",
      "  inflating: cat_12_train/fBp0Yor4EQtWkM7I3TsnNHLXuvCFacjS.jpg  \n",
      "  inflating: cat_12_train/FbzfWeT50SRyNi4Ux29kg7JLqVQ6BPvI.jpg  \n",
      "  inflating: cat_12_train/fC2wqQBuzXHv0LxR49NV8sZmAdkY3SPE.jpg  \n",
      "  inflating: cat_12_train/FcdrnjvysAi08Nqw9YC2xmBeuLtkf16z.jpg  \n",
      "  inflating: cat_12_train/FChBIH1VrPLd03zabyYkRT742ljitZJD.jpg  \n",
      "  inflating: cat_12_train/fD6IE9X2VKvimWn7uoYPMzNwLTB1HU3x.jpg  \n",
      "  inflating: cat_12_train/FD6sxPaf0ykhIrWjzScZRXMUgi4Oo23B.jpg  \n",
      "  inflating: cat_12_train/FdEXMxmhUCbSN01teGriyAlgZJnTLfPY.jpg  \n",
      "  inflating: cat_12_train/fdivVAZlH2S6onsJXOTcjrEKzwpqPaCR.jpg  \n",
      "  inflating: cat_12_train/fEOmTSby83sZ4Azc5DUaJQexYqGiLN0w.jpg  \n",
      "  inflating: cat_12_train/FeopSaQzY0y5bcEkrsuRhmD1BVjTNMKP.jpg  \n",
      "  inflating: cat_12_train/FEuyDnKSIJ1a6UtY5LB2rGpRqOm3xP9Z.jpg  \n",
      "  inflating: cat_12_train/Ffls3E1nwgK8OkZvaUmBoQhc5XWNeT42.jpg  \n",
      "  inflating: cat_12_train/fGi9yuKX1Hcsn2oMYBUJxWZ8CIlkPpLS.jpg  \n",
      "  inflating: cat_12_train/fGjWgRBIkSTcdEeCylU27xsw0F5HqP9m.jpg  \n",
      "  inflating: cat_12_train/fGNAqv1OMTuUdmSPLW2grw5snlVioEpe.jpg  \n",
      "  inflating: cat_12_train/FIkYZzb3aP4WEVgt21XGQroeL7S0Afnd.jpg  \n",
      "  inflating: cat_12_train/FKAoYHN1ic29ZdEDW7Tx4XzM6S5jPuth.jpg  \n",
      "  inflating: cat_12_train/fkKr62bZgvSht8Xx4G9BAzLpueUEMcnq.jpg  \n",
      "  inflating: cat_12_train/fKNTxWCegaR8LpYDOPvzSq5Xd0s3Io2c.jpg  \n",
      "  inflating: cat_12_train/fkrRvPIjHsg0CqZEDlSiyep59Td8FG3a.jpg  \n",
      "  inflating: cat_12_train/fL10RGbMQjFpUzANoDt84el9P273JsEu.jpg  \n",
      "  inflating: cat_12_train/fl5EUZCvYxd07wqSymG8uoQRBLXTOtNc.jpg  \n",
      "  inflating: cat_12_train/FLfVlGCA2J6IPX1c9Nu3xWwishe0R85Q.jpg  \n",
      "  inflating: cat_12_train/fLuciQzHEmJCDA0t1lRe3aP4sTbpkgFZ.jpg  \n",
      "  inflating: cat_12_train/FMI1vKBixgnAhskE6YW8al7GHupPVdr4.jpg  \n",
      "  inflating: cat_12_train/fMrK5EsyIkoQhJXqPTButV3LmAO8p640.jpg  \n",
      "  inflating: cat_12_train/FMVy0f98W2APlO1x7vLCmZpndKuRwJaq.jpg  \n",
      "  inflating: cat_12_train/fN820F74V5wzqOoWp1XTd3jG9DmJBvhk.jpg  \n",
      "  inflating: cat_12_train/fOcMX4FEZqvBzI6yUAihKuk8dCrp2J5D.jpg  \n",
      "  inflating: cat_12_train/FoV6UWJmD5gqPOtfkjSa3rbEvAYuiwxX.jpg  \n",
      "  inflating: cat_12_train/FPDU5csfAbniMwXTqgv6LSxOWJ7EIG2Y.jpg  \n",
      "  inflating: cat_12_train/fqV0LbhrMd1H6p7cZal4FoiQwk29JAjv.jpg  \n",
      "  inflating: cat_12_train/fRbdkW0GDAhBjpTVeonPItycEia45Ns9.jpg  \n",
      "  inflating: cat_12_train/Fre3kAwml0yC9hYiRsxEGPVLq6472a8D.jpg  \n",
      "  inflating: cat_12_train/FRrhgHIW8bGmiSADuqoZd0McCEUBwTa5.jpg  \n",
      "  inflating: cat_12_train/FSC1PVvNRtwEW3x5fsOZaXyre6Timnjk.jpg  \n",
      "  inflating: cat_12_train/FSJuLBhA4rz3vocDbyMT7fVt16mGXjUs.jpg  \n",
      "  inflating: cat_12_train/fSm4bHnoZThx6d8jAiEDl15YvtV7XG0g.jpg  \n",
      "  inflating: cat_12_train/fSnGBtYgmuk8AX1FQRN5oc0s7dJwO2LE.jpg  \n",
      "  inflating: cat_12_train/fSuBjgmCwoZPeL2KhJTYHlEGq51OQVWM.jpg  \n",
      "  inflating: cat_12_train/ftmiop6TzlbPM5k0wZjg8qd1ShFLVBcR.jpg  \n",
      "  inflating: cat_12_train/fTZF8AeVhiP7dwKDrX2cNOq1L4HaBztI.jpg  \n",
      "  inflating: cat_12_train/fUNTcnKQygrJMBje3Y9xZmPuwCzaqG28.jpg  \n",
      "  inflating: cat_12_train/FuUCnl01r37EGtSpT86x4AzWKHBaIMyv.jpg  \n",
      "  inflating: cat_12_train/FwBJblcA6043pxSiq8K1Mv7ztLaRP5hd.jpg  \n",
      "  inflating: cat_12_train/Fwe8KEThOrzou6S0CLRd197Pi2aJNgkZ.jpg  \n",
      "  inflating: cat_12_train/FXBrU9ZwlAqdRWpackD4JGMuj3eTof6t.jpg  \n",
      "  inflating: cat_12_train/fYk43TbnuaLJE9oHxDM1edNjmBRGIrFQ.jpg  \n",
      "  inflating: cat_12_train/Fz9VKD0jxWUIbs2YqrMfkegOwPtACGyR.jpg  \n",
      "  inflating: cat_12_train/FzJZoH6gLAlxhPq9dj8vc4pinTVbaYkt.jpg  \n",
      "  inflating: cat_12_train/fZSXcV9NCjm3qKEtLolhzvxMF8HDadAb.jpg  \n",
      "  inflating: cat_12_train/fZwrtgyjJFYPHXWB9K8lxDza2mIL6SVM.jpg  \n",
      "  inflating: cat_12_train/G0Atu3rb7qH6n4fJpRa5UPymFIzdexSQ.jpg  \n",
      "  inflating: cat_12_train/G0cOJ2RZESiqK54D3AHIhgndtBkzjsLW.jpg  \n",
      "  inflating: cat_12_train/g1QN90DYnSXqHlZF43x7OpAkRiMsdjGL.jpg  \n",
      "  inflating: cat_12_train/G2Xzt87VP1fdrUCwaA3ioBs0FgNKJb5Y.jpg  \n",
      "  inflating: cat_12_train/G2ZcYo7RUKMjDyFOPg81xS5arhnw3zEp.jpg  \n",
      "  inflating: cat_12_train/g39iY2DHXwTLAhCQsj4d6tFkeP0G58UI.jpg  \n",
      "  inflating: cat_12_train/g3M6K9Oka8hHAxjfI75uYZPJC1d0TtFo.jpg  \n",
      "  inflating: cat_12_train/G4RDpHPcFZmwK07MlLWdgTAvXrutOkQj.jpg  \n",
      "  inflating: cat_12_train/g4RPrCvpSV58juwLFnEseHMaTxOkQtWf.jpg  \n",
      "  inflating: cat_12_train/G6sEzkoqWpTSZ2VN4gcyDjv8f3mxAbUl.jpg  \n",
      "  inflating: cat_12_train/G71cYNEBD6shJLkgVzwb52m8oRluKUHS.jpg  \n",
      "  inflating: cat_12_train/g7I2DdSJvjOpE1A9oa3XLGbKRUycFhNH.jpg  \n",
      "  inflating: cat_12_train/G9LtMDuTmOrQxokKpNVWs315RSzwFUn2.jpg  \n",
      "  inflating: cat_12_train/gbfyYtlWaAO4iUCPK2cFVkoQX9MmwJTI.jpg  \n",
      "  inflating: cat_12_train/gbRZdsqCTQFHiOlnjG6kayeDVfLJWz0I.jpg  \n",
      "  inflating: cat_12_train/gbwESjTInXViOJQs8zNBvD93F2HkLxqY.jpg  \n",
      "  inflating: cat_12_train/GbxpNehZVufKAimL1wyCFJd823QgHvrz.jpg  \n",
      "  inflating: cat_12_train/GCHKjuwnxbyl1YMFh03WPqm96zIXA4Zp.jpg  \n",
      "  inflating: cat_12_train/gcjK8mzxbakYlIr6B4ZFt1vp9EeXAU3G.jpg  \n",
      "  inflating: cat_12_train/gcrTxiFONC78502pvaPJUbeHGsmyW4Qf.jpg  \n",
      "  inflating: cat_12_train/gcTxA5NwLztvWr7YPCMnDjdFyfqoa2uK.jpg  \n",
      "  inflating: cat_12_train/gD0dtMXGhKj7TRExIFBVrbmiO8CuALsl.jpg  \n",
      "  inflating: cat_12_train/GDKftMpWLbngo2xmHY3OivSc6y9jIXeB.jpg  \n",
      "  inflating: cat_12_train/gEcFRd3VM97hSsUHnLrytfxjCX5Ab48J.jpg  \n",
      "  inflating: cat_12_train/GecMnWDvf6qVSj7CFIKZoX2U8buzHsPw.jpg  \n",
      "  inflating: cat_12_train/GEcZdh02SMXb89fz1LNJWskUFtuRxV6D.jpg  \n",
      "  inflating: cat_12_train/gEGrRaMvn1e45XKzwPkA2bs3HUf7q0mj.jpg  \n",
      "  inflating: cat_12_train/GEoSZ3MpY59J2VTnvUczarkNRC61yIfW.jpg  \n",
      "  inflating: cat_12_train/GeV6HED71brxa3FhX4ktROKuYyBAT8og.jpg  \n",
      "  inflating: cat_12_train/Gf8tvcZbCxJyR1AH3mEXTKUdDsgerOLz.jpg  \n",
      "  inflating: cat_12_train/gGDqNmyI4Q0MLb1Kl2dzHXj9WihT65Ck.jpg  \n",
      "  inflating: cat_12_train/GhEdX1xo0iDMPQprITKCS5A49zZJYuVW.jpg  \n",
      "  inflating: cat_12_train/gHUpoAQud1XDmN8JbE0vf9B6hRns32iO.jpg  \n",
      "  inflating: cat_12_train/ghz02mlvuk3LstX9AbM5GKpwPjCVEanO.jpg  \n",
      "  inflating: cat_12_train/GhzWmuta0PCxvBgoALiQ7SNUYHc6T3bR.jpg  \n",
      "  inflating: cat_12_train/GIhCUVeDljO8sbLgnoTJydSB9ZtHcRNE.jpg  \n",
      "  inflating: cat_12_train/GIp83rVP9M5FCLe2zyN1fDAEXdRmvkau.jpg  \n",
      "  inflating: cat_12_train/gitWDdZy75o4AXeTU3O0CFYVQ9xuvmhB.jpg  \n",
      "  inflating: cat_12_train/gIyiH8nNsRtA5KXlEVuCoaBT6YZepmM9.jpg  \n",
      "  inflating: cat_12_train/gJd6pFDVqBjtXC9Ov8GnQlxazYHcwhuZ.jpg  \n",
      "  inflating: cat_12_train/gjhn6s9bDxcHWm4SUKTFfu3RQyiBYENk.jpg  \n",
      "  inflating: cat_12_train/gJoqDP9IxwLBvCiTENytd28mMu3Z6SUF.jpg  \n",
      "  inflating: cat_12_train/GjYX3gDEolQCes6BVSA4afw2cqxu0hbd.jpg  \n",
      "  inflating: cat_12_train/gkZPx2LmDCevur0EJ4o76d1Bh3V85Rbc.jpg  \n",
      "  inflating: cat_12_train/GL8nc9lotObkW3XICpQP0vjVzDygZFJK.jpg  \n",
      "  inflating: cat_12_train/gLqBoG3ah0AHXIYWS7dFTt6pxDw8snQv.jpg  \n",
      "  inflating: cat_12_train/gMFXJiposN2d4Ulexqyc3LZVvRPKQ7ES.jpg  \n",
      "  inflating: cat_12_train/gMrY0atHs8yo3hbTQmpUBLPG2kADFOVl.jpg  \n",
      "  inflating: cat_12_train/gMzOoyTrGniBj1vxN0AeD9VQsFHU7aKR.jpg  \n",
      "  inflating: cat_12_train/gneYrbMIdRPaG5V2kFNHtUyK7h063SxB.jpg  \n",
      "  inflating: cat_12_train/gNvQ0KBmxDkV9n13ISs4UXeGA7uPEitq.jpg  \n",
      "  inflating: cat_12_train/GO1PDSEakA0JIfln47y852NtzFLVcWY9.jpg  \n",
      "  inflating: cat_12_train/goQG740HKiNyDsLbXpWtfCzMcAEhOSRP.jpg  \n",
      "  inflating: cat_12_train/gowcINGhD4BzxRPtdWU6MEms2y5ZJpKH.jpg  \n",
      "  inflating: cat_12_train/gPIjZw8f2oHVyvuFp5a6NEnbD4z70xiL.jpg  \n",
      "  inflating: cat_12_train/GrjP1Qeb6nWzfLmyTs42MYdZD5IcFOxS.jpg  \n",
      "  inflating: cat_12_train/GRp6TSg8hML49Hcv3q17ziCx2w5fFBuQ.jpg  \n",
      "  inflating: cat_12_train/gSm6OpJYtLhx731G8I9WeiMwrj2zXDVy.jpg  \n",
      "  inflating: cat_12_train/gSOopLkqzXDK69jA0yYd8tmVfeIEFnwU.jpg  \n",
      "  inflating: cat_12_train/gV7Z0MHtouXJyBFiAROvLlSrWfanK5Yx.jpg  \n",
      "  inflating: cat_12_train/GvHrqf9S7F2g4DpYthJCyRBlziWxE5oX.jpg  \n",
      "  inflating: cat_12_train/GvifR7HXayoP0pmuLDeFIW2swYC4N1rh.jpg  \n",
      "  inflating: cat_12_train/gvKDCT17ZS3G9kYAm2pwQNbI5RPnMW8H.jpg  \n",
      "  inflating: cat_12_train/gVRykxT6md8MWQpNOtzX9ou0jhSnJsLi.jpg  \n",
      "  inflating: cat_12_train/gVU1Np9ocWGDjCyZ7YAMfRXdOl8nvtzT.jpg  \n",
      "  inflating: cat_12_train/GvZ1z8cLBe2OtXmrs6pw9qTuHKDQ4NPo.jpg  \n",
      "  inflating: cat_12_train/gwD3tip19UfakmxqneVTJdCyKA50oMEG.jpg  \n",
      "  inflating: cat_12_train/GWK4wzPEUdB36xtIilF2XO9LayZkhsvH.jpg  \n",
      "  inflating: cat_12_train/GwQn9KmlFRjyDSWJpkMBe56zUis8b4ox.jpg  \n",
      "  inflating: cat_12_train/GxmZrag8X7CdMhwVoOS45jpA09FfqPk6.jpg  \n",
      "  inflating: cat_12_train/gxXEi9qre6lk8BbhF7wo4nmNP0QROs2Y.jpg  \n",
      "  inflating: cat_12_train/GxZtraBRowCMhWdK5YTu4gclOnv83zsU.jpg  \n",
      "  inflating: cat_12_train/GYiAM7Q3cnNxBD2aRogPw4yIruJEtS1L.jpg  \n",
      "  inflating: cat_12_train/gyRAL0OWkSKuQm4zPjia9oUGlEbNIXsT.jpg  \n",
      "  inflating: cat_12_train/gz5tdNR0IPYGjnFCevEckw3lby6p7aWo.jpg  \n",
      "  inflating: cat_12_train/Gzg2FhdEf4uP50Lt7ajMyli9C1xmrZTe.jpg  \n",
      "  inflating: cat_12_train/gZrblny5uFjNwTthMY2zBoIi4xV0EGPd.jpg  \n",
      "  inflating: cat_12_train/gzTuL1WK27wRJdrMDNXAIFqvEnY8tUxm.jpg  \n",
      "  inflating: cat_12_train/h0LuCeilPg9kJHwqsYKAbcUWDNMnXVp6.jpg  \n",
      "  inflating: cat_12_train/h2oixaGeRWUtTlPMzfAKFbc9N6V7YuZk.jpg  \n",
      "  inflating: cat_12_train/H49M6cIV7JRKZELDtTx2U5jSlGesuA1h.jpg  \n",
      "  inflating: cat_12_train/h67lHMTYtnF3sLJKCkXd4bGmEI9jSqg0.jpg  \n",
      "  inflating: cat_12_train/h6txkOe5wNVsrmy9TFqDbao4AiKuzcXf.jpg  \n",
      "  inflating: cat_12_train/H9BcFOo8UI3jX2CyW0mzxn7agJNAsZQS.jpg  \n",
      "  inflating: cat_12_train/hajCi0GDlVP2ONg6FeSWrvubQ34ozwkx.jpg  \n",
      "  inflating: cat_12_train/hAPzcCeE04sSadDIFB627ipyOWgjX8mq.jpg  \n",
      "  inflating: cat_12_train/HAr1xEZFsn5jqTk6LbtPRyoQMu38ewN9.jpg  \n",
      "  inflating: cat_12_train/HARzvWlV4Gs8Lkg1nfMxK0E2yJc7C6Xd.jpg  \n",
      "  inflating: cat_12_train/hATakopuRNP0ZgcWxCEK674JSimMd3X8.jpg  \n",
      "  inflating: cat_12_train/hAUM8Y1FbKVkSjs20WOtcqopfRDwXEed.jpg  \n",
      "  inflating: cat_12_train/hAvWC6mLMHRk3jtFdoNePgYzB9arDGKl.jpg  \n",
      "  inflating: cat_12_train/HbDBZejVyhCl6isUISd8gQRYPo2EOGTF.jpg  \n",
      "  inflating: cat_12_train/hbeg7S3rsKlVY85F69IdtOGaPXMq0A1T.jpg  \n",
      "  inflating: cat_12_train/hBfZp4GYvTwRDtN8b6JmUVqnxQzXkeyi.jpg  \n",
      "  inflating: cat_12_train/HbitsGOZgXrNqQPmcTJFBadIL7l9RxnV.jpg  \n",
      "  inflating: cat_12_train/HbtCXP7ev5JYc4KnyljiwV2fmIspOBg9.jpg  \n",
      "  inflating: cat_12_train/HbTrB0uUW86Dh3npz9Rl4cv1xfdiFXas.jpg  \n",
      "  inflating: cat_12_train/HF8Sb0spnhIiOdQ4lruXJyoD1mLWKkPx.jpg  \n",
      "  inflating: cat_12_train/hg2bjnmcFEOGaPRWTfswSM6vy8HUqxQk.jpg  \n",
      "  inflating: cat_12_train/hgbIEAfwGR8Yu3Q6etMTPscriN4v5ZDk.jpg  \n",
      "  inflating: cat_12_train/HgfBMrWlCqc9j6dSmGeRQaxDwYn27ukK.jpg  \n",
      "  inflating: cat_12_train/hgjbqWiBwVuQldCOHe3okxc27pzRZXtD.jpg  \n",
      "  inflating: cat_12_train/Hi0uNz5QYRhV1vyptXbC27jrMnlEwgK6.jpg  \n",
      "  inflating: cat_12_train/hIfDBnLOxjgAU9NoX1d0sCT2ZKb4QmtY.jpg  \n",
      "  inflating: cat_12_train/hjCrW5JKcRT9741v6meyEsnISHgGLOfp.jpg  \n",
      "  inflating: cat_12_train/hjOQw5yXsui7AD6x9HfmJGnrZaL81vWK.jpg  \n",
      "  inflating: cat_12_train/hjQVK6gP08wW7Tbt1oMXrS3EmAyCxkIl.jpg  \n",
      "  inflating: cat_12_train/hkaCLdf8eODsuQWo9RHMTSzc0IPxygVX.jpg  \n",
      "  inflating: cat_12_train/HknPmqLKRJXYth1TyDZeF8CwglAEuzQS.jpg  \n",
      "  inflating: cat_12_train/hkQu3UTsdfFZa6GjcYMPKC9EyNXO8Aoi.jpg  \n",
      "  inflating: cat_12_train/HMaQhGsDLfYto4dpTji6bIJ5Ox3KZBRE.jpg  \n",
      "  inflating: cat_12_train/hmVfLtWBSpPjYz0Z4573yNO92oCJdvuI.jpg  \n",
      "  inflating: cat_12_train/HN1WAOopXIZj3kdFPSbasqUt8QgBJRmx.jpg  \n",
      "  inflating: cat_12_train/hn8zMoVGDBmAqvap5JxreZT3cCIYUdsR.jpg  \n",
      "  inflating: cat_12_train/HNehmorRIS6M2iDj48gZL9OKva7Xck1n.jpg  \n",
      "  inflating: cat_12_train/hOEPm8o26CBptkD5yT3fsgbM4dRuVZzw.jpg  \n",
      "  inflating: cat_12_train/hp0nNWXar81lB3eSYE9kGcdDL4tJfuwC.jpg  \n",
      "  inflating: cat_12_train/HPtK3c06LO5s1p48iWNkAenwZurbQxSd.jpg  \n",
      "  inflating: cat_12_train/HPyqbiVr1v6sXpdl2UL3JBhjMWO9EAGK.jpg  \n",
      "  inflating: cat_12_train/hPzjJE0t3kro2aQZHbWC9y6UDRuYmTqL.jpg  \n",
      "  inflating: cat_12_train/hqB2NUyCXx1u3RgMOTj9m8YALiDazPVW.jpg  \n",
      "  inflating: cat_12_train/HqjtuhYFe9oyI7Eb0vCmi63NnXKPOwRW.jpg  \n",
      "  inflating: cat_12_train/hRCVlJFsnPreWOS1zf0wpIgyN6mMqHTU.jpg  \n",
      "  inflating: cat_12_train/hRXN1OZCdixwzncMrt4EWoUKTQ58JGS2.jpg  \n",
      "  inflating: cat_12_train/hSkedbAOKE1MF0vnwJx6z7DgoflYN9Py.jpg  \n",
      "  inflating: cat_12_train/hSVZ0IipzJX7UeYHCtNyqMkKwO9Dabus.jpg  \n",
      "  inflating: cat_12_train/Ht1KhM3fEBDGW8bZdrVmFe6YN472Ujuz.jpg  \n",
      "  inflating: cat_12_train/HTXCKVZuORiosrIk3jAULqJNflyBGt28.jpg  \n",
      "  inflating: cat_12_train/hTxYnXrQ35vwKL1NEMSIot02djHy8i6D.jpg  \n",
      "  inflating: cat_12_train/hU3ilTJc9xrSNq4VBYfDG7eWE0IFL6A1.jpg  \n",
      "  inflating: cat_12_train/HU5Of0GiW1MLjA6aYeItzx9SqClosZmE.jpg  \n",
      "  inflating: cat_12_train/HUuwb4gRqoPWD3Lvrsa9hVcQ7FSfOT8t.jpg  \n",
      "  inflating: cat_12_train/hwaAfFvrW9JITE5nlZNUODY3RH60KpkB.jpg  \n",
      "  inflating: cat_12_train/hwIb0vW6LsngYNQKDuTr9y3lGoUpEd2f.jpg  \n",
      "  inflating: cat_12_train/hWOAp1EV6nJzYxaHt03T8GPNe7ujUiF9.jpg  \n",
      "  inflating: cat_12_train/hwQDH3VBabeFXISfjlWEmYicoyr6qK1p.jpg  \n",
      "  inflating: cat_12_train/HxciyAL9bYNB5O0eSdDurakF6C1wJsgf.jpg  \n",
      "  inflating: cat_12_train/HxEOtTsn8KWSMyzGU1kVaZNeujAc7mpw.jpg  \n",
      "  inflating: cat_12_train/hxEpBu4k2tf3e0rwFUKGs5dqSAoy7JWY.jpg  \n",
      "  inflating: cat_12_train/HXFKmazgtsSurR2B5VlEP1kI0x4bdew8.jpg  \n",
      "  inflating: cat_12_train/hXt9GjYuxpZcFERneNCfOHUyoB26DVq1.jpg  \n",
      "  inflating: cat_12_train/hy04K3PFfWSHCNAsMtYmjZGuURgd6Xea.jpg  \n",
      "  inflating: cat_12_train/hyVovj63OBdT8gDtmlYzR2MKw7iEcG4k.jpg  \n",
      "  inflating: cat_12_train/HZ6Fyz8WJLKGNYivcBdrl5wCS1PIkUD4.jpg  \n",
      "  inflating: cat_12_train/hZbNUi1lSVsKv23Rqo0fCDxYpXLgaGcI.jpg  \n",
      "  inflating: cat_12_train/hzX4puvbZcOxFmny2odBekVDGWYjJCR9.jpg  \n",
      "  inflating: cat_12_train/i0MctZfKCBAV26YNwnQ7P3lUHWEe5L8v.jpg  \n",
      "  inflating: cat_12_train/I0YcgXB97QL6MtHlU3p1znqWdCGOD4mo.jpg  \n",
      "  inflating: cat_12_train/i25a6BmAdWJXonV3eRGuSQ0tFb1NUvfE.jpg  \n",
      "  inflating: cat_12_train/i2a8xHSMbRJA4C5UE6WdqLfuG3YjrD07.jpg  \n",
      "  inflating: cat_12_train/i3RDoBJILWM7uPFpKgSzObE9ntjQ6CcH.jpg  \n",
      "  inflating: cat_12_train/i4F0bxGO68fvD5BHJq2jYL1gPclRdMeQ.jpg  \n",
      "  inflating: cat_12_train/i4seMjqXAv3Y2oS5PgaWfpcytDnmU7Nr.jpg  \n",
      "  inflating: cat_12_train/i5pqGLzN9210lj8TgMhVkO7BtHuCmPvs.jpg  \n",
      "  inflating: cat_12_train/I5TWAz0EeCJmR2NSB4bcLxFyqOodMlkZ.jpg  \n",
      "  inflating: cat_12_train/i6duIYpPQTK0FgVa2eRBUCytcjEqr3v1.jpg  \n",
      "  inflating: cat_12_train/i6EuyWULM2eOxwNnI1pVa0mh4kbdtAYQ.jpg  \n",
      "  inflating: cat_12_train/i79AUPrFlfSeswLtaRcpd1X4gb2KGvBh.jpg  \n",
      "  inflating: cat_12_train/i7o53XY6pCJ1PrdlxSA20mNFvwHjV8U9.jpg  \n",
      "  inflating: cat_12_train/I8jNkAVgZ1yqDw5K9b0Wm4rETfiGBcUF.jpg  \n",
      "  inflating: cat_12_train/i8PW0FObIvcrETzZuRHha3DeKko79mtj.jpg  \n",
      "  inflating: cat_12_train/i8rlRNjyZcd0xpoDvXbSEP1nu4IweFLC.jpg  \n",
      "  inflating: cat_12_train/i9Lvom8e6VdaDb5ErTA3JxQXuIRKCUNW.jpg  \n",
      "  inflating: cat_12_train/i9OkRSb0gulazXhYc1ZyxoU7sW6QeV3w.jpg  \n",
      "  inflating: cat_12_train/IasnVSzowZ7tkYTdqmA8WPBciv0rO9RM.jpg  \n",
      "  inflating: cat_12_train/IBmFpnG7wzHoWPUdTk0LMgQD2AbCY3Jq.jpg  \n",
      "  inflating: cat_12_train/iC95hQpwyvoYDBfSuIKcxU0JnZErm2Vs.jpg  \n",
      "  inflating: cat_12_train/IdFSxOKA8rMwZ09b3anmYq2ujRl7XQWz.jpg  \n",
      "  inflating: cat_12_train/Idl9OD4Cuc3XjpyzBfk71gqa6xt5eHGV.jpg  \n",
      "  inflating: cat_12_train/Ie0EV6G2pdfS7PjtuABnoWUYzsRcray4.jpg  \n",
      "  inflating: cat_12_train/IE3bisLw7tH1AWXrQvBD4nxC2g5Su0f6.jpg  \n",
      "  inflating: cat_12_train/ieOvwupZbC4Xckj73znWxo0ARMKD5FrP.jpg  \n",
      "  inflating: cat_12_train/ifaZU8GVl5k3BtMNnPKdXCYrHTSJp40z.jpg  \n",
      "  inflating: cat_12_train/IFfAcux5qSD976BTY8jet4KpGaZkyNLs.jpg  \n",
      "  inflating: cat_12_train/Ig61xq3ME78fdCRTDWhaKkcyuOQj24PG.jpg  \n",
      "  inflating: cat_12_train/IG9NFCfMybKYiQhquOd5H3DjwlSakW6U.jpg  \n",
      "  inflating: cat_12_train/iGfE2wcYZROpn7PToAlLe9HCQdtXj0bz.jpg  \n",
      "  inflating: cat_12_train/IhCxvouZGb6PQFE2UmVjJ3nLpW89qHYt.jpg  \n",
      "  inflating: cat_12_train/IhpzfPkbCe5ndLGA80E1qZOQJT4syU6r.jpg  \n",
      "  inflating: cat_12_train/IhxMnKbA0kpvOsaH9G4tLJ5VoXN62yeW.jpg  \n",
      "  inflating: cat_12_train/Ijv64K0OrdXaGSFLtH7Jhi29ePbpDqgU.jpg  \n",
      "  inflating: cat_12_train/IkFUNQbs59rc4aZTGVyALS6fiBovCJ3Y.jpg  \n",
      "  inflating: cat_12_train/IKn4FudaH8wMtJ6vDcfY3ELAixebjWlS.jpg  \n",
      "  inflating: cat_12_train/iKnBNRdEl2etpyxqQH5WT8P9kcgXIsYf.jpg  \n",
      "  inflating: cat_12_train/IkSBtsT5MWNAxuiJoabLeUP6O2r7v40y.jpg  \n",
      "  inflating: cat_12_train/ikUoxW51ds97puZyVzL6cBRjbJeYHIrD.jpg  \n",
      "  inflating: cat_12_train/IL4c6KXU2jqvVCaFZoydbYSz8kGiOuWn.jpg  \n",
      "  inflating: cat_12_train/iLapK12FPkSltHrNExU0WmnjGv4ogIfR.jpg  \n",
      "  inflating: cat_12_train/ildSQM8xeIzJY3ahjTt7yU5VsDr2WX6G.jpg  \n",
      "  inflating: cat_12_train/IM7u4GkyWbq1Jg2tpmCl0sOZDNrhQef8.jpg  \n",
      "  inflating: cat_12_train/imHFgrIc1lonDeWfXSBK3xs8P0ZuAp79.jpg  \n",
      "  inflating: cat_12_train/iMJsYSbgZan2ey8XFjVzHpKctuqBPCOU.jpg  \n",
      "  inflating: cat_12_train/io1jOTkRpCVUzwbnvW7rJLs8a6YSX90G.jpg  \n",
      "  inflating: cat_12_train/IoMOGdF3CBUYvib5Dj4A87mHJfxVwpRq.jpg  \n",
      "  inflating: cat_12_train/IP6lTxJhYSpZMFyHeurwaKAt4sjRg9VC.jpg  \n",
      "  inflating: cat_12_train/IPli9ck8RdbgeZvNfyEz1xnmH0OuX7w2.jpg  \n",
      "  inflating: cat_12_train/IQF7Hul3viC6nc1ZsPtaqSAEjO4Kwkfd.jpg  \n",
      "  inflating: cat_12_train/iQpDbyk6IZvH1N8xelS2qtLYOuERfVom.jpg  \n",
      "  inflating: cat_12_train/Is5HZAcdn2graGTb0k6z1URSu7JCVt9B.jpg  \n",
      "  inflating: cat_12_train/ISf6dlbPJyuAC2gVnND9WroFqE4RYOZ0.jpg  \n",
      "  inflating: cat_12_train/iSPRz28OyewYCdBtGc3qhpHfaoV1ZArD.jpg  \n",
      "  inflating: cat_12_train/iTNoRO3JrufCBy0sQHebqnYSWP5zV1cM.jpg  \n",
      "  inflating: cat_12_train/itpdu5rWJhRkbK183Q0AvPGMXU2BNDjE.jpg  \n",
      "  inflating: cat_12_train/iTr5HdQZPX8V7fFnatgxOEWeRKMlGSUD.jpg  \n",
      "  inflating: cat_12_train/iul09x4bBVCE67UQnXjYHGhO8dfSKmNw.jpg  \n",
      "  inflating: cat_12_train/IuMG7TjKBOt8aiXxDpn5gyf043RePdCL.jpg  \n",
      "  inflating: cat_12_train/IV2yEPFcOz4hTn6JUo1aRLBWvSKlAYxf.jpg  \n",
      "  inflating: cat_12_train/IVL4b0NXesvlW1JyprkDu5hCzofFmZwR.jpg  \n",
      "  inflating: cat_12_train/Iw08uRWlOnXvPB5eh9pTNkzxa3cAVDGH.jpg  \n",
      "  inflating: cat_12_train/iw1JaQRG0VSXokMFqsAExgCNDerW67Tt.jpg  \n",
      "  inflating: cat_12_train/iwBMNfJUO0Hl5XA4muthzKqVj2ZCrRvy.jpg  \n",
      "  inflating: cat_12_train/IwH3T6JKLqyU2sdOpck59jEzv1ZBr8a0.jpg  \n",
      "  inflating: cat_12_train/IwMjiGZvOalDLrqp3AgbJsQ4PHx7kScT.jpg  \n",
      "  inflating: cat_12_train/iWMSKI9NBbzFxeRQa1vyAsZC86l30kwT.jpg  \n",
      "  inflating: cat_12_train/iwrSI6HXUf8NnGY7pgC4T3WlPK9xzd1m.jpg  \n",
      "  inflating: cat_12_train/Ix6ad7gsWuCZESQlyRmtw2kAMDq5r390.jpg  \n",
      "  inflating: cat_12_train/iXLUfpI8knAF0O7Paz4Bd5GbJt2mTRKy.jpg  \n",
      "  inflating: cat_12_train/IXOgBeWDf4SLQNY821KoxjRGUdHqCuFc.jpg  \n",
      "  inflating: cat_12_train/IXRDysuhYVT7GnJ9ANcgL6z4oqtZbaO5.jpg  \n",
      "  inflating: cat_12_train/iYAcTdJuB7bgUNm39oSOjyr4wshnaDRz.jpg  \n",
      "  inflating: cat_12_train/IYFMT3WDzyu65aeHhXsQqmj1ZELScPlO.jpg  \n",
      "  inflating: cat_12_train/IzysdDo4uvFgPQGk6ZVnpJ7STa10eM98.jpg  \n",
      "  inflating: cat_12_train/J0WMjP6dTqKwlEIHCXRNZsxe9VauL4tb.jpg  \n",
      "  inflating: cat_12_train/j1RtwrdGVyb0YHXPF5SpAKDJE9xhW8cu.jpg  \n",
      "  inflating: cat_12_train/J2gaHGouDUvZcdlfX7C6eS4bO3QPF05Y.jpg  \n",
      "  inflating: cat_12_train/j3F1ap9iNPRKOs4IHSeBCu0Z7frhnqmQ.jpg  \n",
      "  inflating: cat_12_train/j457yUpu9MF8XswG2gHbfAIkPheZVoEm.jpg  \n",
      "  inflating: cat_12_train/J6kIGbpYmxSiwvrOFDA1QZ3N4dn2BeU5.jpg  \n",
      "  inflating: cat_12_train/J7cCigxnzFEqtXhU1NeZS8b2TVd4IoMy.jpg  \n",
      "  inflating: cat_12_train/J9c8OsgWuipZGEYVDNnCjA3Bxrb6vdmH.jpg  \n",
      "  inflating: cat_12_train/JAQhiKOgsyxpjCoW7v8ItHlYFaXw1Lq2.jpg  \n",
      "  inflating: cat_12_train/JBAk6tZUuLr70DFGi4YnS9dI2sCNqyVb.jpg  \n",
      "  inflating: cat_12_train/jBbUuhmwHqMdeg01pZytTSI8lxsia3Yr.jpg  \n",
      "  inflating: cat_12_train/jbIdxGyNpoql3XQZrfREMiAzh7B46WOa.jpg  \n",
      "  inflating: cat_12_train/jbscExJy2G8wliLo6YheukHPK5fmWntI.jpg  \n",
      "  inflating: cat_12_train/jcBJ5x2h9ASa7N1p0GdKsmPQFobW8v4e.jpg  \n",
      "  inflating: cat_12_train/JcIEkjlTMNaF1hQLCm2sfb5Dow8V9O4P.jpg  \n",
      "  inflating: cat_12_train/JdbyR542YcEfhszPV0lX7i9KwZIAToFN.jpg  \n",
      "  inflating: cat_12_train/jdCP2HDMVITfkZBXtOcmlgWLNK39rARS.jpg  \n",
      "  inflating: cat_12_train/jDhoFpX6KxASl5W03V1vtLTyre2Z4Rs7.jpg  \n",
      "  inflating: cat_12_train/je9Gb3Kscf1Znhm8FOMYA0t4xTqPDvuW.jpg  \n",
      "  inflating: cat_12_train/jEnLvkCByNtrezVdDU29p5Gw6JfqsKic.jpg  \n",
      "  inflating: cat_12_train/JerKsXLBjopWRhdqNnMYf8IkauZ6m1DS.jpg  \n",
      "  inflating: cat_12_train/JFf3r7ISov5UnCTWXj0DQcNadsOgAtKH.jpg  \n",
      "  inflating: cat_12_train/JfnwTFSiA7p52a1o9sUrOBmbdP8XR6yv.jpg  \n",
      "  inflating: cat_12_train/jFV6EoNIPUt1OliaSmw8xYnMkrhdJg4L.jpg  \n",
      "  inflating: cat_12_train/JglnMz3IZD9syB7OHTo85XPkEYNiCLtj.jpg  \n",
      "  inflating: cat_12_train/jGs5fVeaDXQLS3HvEodzqNCInZp9mOi7.jpg  \n",
      "  inflating: cat_12_train/JgxcdpvW7f6lKMShPjHFeZ2RDX13UCiN.jpg  \n",
      "  inflating: cat_12_train/jHbQqXDraNPAWLK1UtemCEuTJlIh6odn.jpg  \n",
      "  inflating: cat_12_train/Jhl2IyNXCVtp0ZjS3eUFOLHWnvA8xio4.jpg  \n",
      "  inflating: cat_12_train/jhNFdrHZKbQ2CYtDvJSTOx8GUfuozpM3.jpg  \n",
      "  inflating: cat_12_train/jHUJE37YZOGAXInPmyCSp9f0o4uvRe5W.jpg  \n",
      "  inflating: cat_12_train/Jj7wA4ZQgD5ldPfBNm3qbIHU8re9ckpG.jpg  \n",
      "  inflating: cat_12_train/JKCzgtjG5iuDln3vBx4LPAI9Ud1yeY8k.jpg  \n",
      "  inflating: cat_12_train/jkhFoS3ZWT6PMVdEwbCGv1Rxqlp2geQH.jpg  \n",
      "  inflating: cat_12_train/jla5O2TkVhefr07XDLpMEonuG6yJWgYd.jpg  \n",
      "  inflating: cat_12_train/JlOMB5QcNgjbmrZt7xELWADsHik1uahR.jpg  \n",
      "  inflating: cat_12_train/jLZ6YaoGBhFIevJqwA3g8Tr0lMKSCc1p.jpg  \n",
      "  inflating: cat_12_train/JmjlGA0dZhFgDUIotpY4TkVS8EOs9qe2.jpg  \n",
      "  inflating: cat_12_train/JNd2o9psTAhULYOriy4ExBcIqbZnH8Kz.jpg  \n",
      "  inflating: cat_12_train/jnD753uwxXdNcSlaW0sR8vHZeFMyQGLg.jpg  \n",
      "  inflating: cat_12_train/JNeMqxgpnrO0QDsShUC6vHwbX85cE4T9.jpg  \n",
      "  inflating: cat_12_train/jNHlxqdZkYGSDw32e8aVA0zJQnbKh7p9.jpg  \n",
      "  inflating: cat_12_train/jNXsSgtBap7lTYI81y2Feq6ncG5oxMPZ.jpg  \n",
      "  inflating: cat_12_train/jO05pwfHA1xqBCEmNaX4LZlITWdUS8hK.jpg  \n",
      "  inflating: cat_12_train/jO1DyQsaKbhXZHrzlwnCRLVxYkF9MqUv.jpg  \n",
      "  inflating: cat_12_train/JO801XxVyZHivEkmRb5edLz2hrBUpcg9.jpg  \n",
      "  inflating: cat_12_train/JoIHm57neU91dcfwK8uqCiEkPXFvNBQ3.jpg  \n",
      "  inflating: cat_12_train/JP7Zw9ThkQ53Wpu0XjERzNcxSBrIdaGs.jpg  \n",
      "  inflating: cat_12_train/JpIW3AFlnu1HrfjGCoiQqXNUmcb7PkV0.jpg  \n",
      "  inflating: cat_12_train/JpTAMfbxGo9mz7OagjLSUnr1h5CWYDE6.jpg  \n",
      "  inflating: cat_12_train/jq24LgwckQFpT6lehRACJdNz5Y7SntGV.jpg  \n",
      "  inflating: cat_12_train/JQhnM9rgFeEtaDOlSHXqiRVLw21p7C5T.jpg  \n",
      "  inflating: cat_12_train/jqy83RwdnuElFONKPkfHeXQ9s0gBbTA5.jpg  \n",
      "  inflating: cat_12_train/JRZ9kdCtLWbocpT2enjEISxsw0OQKFHa.jpg  \n",
      "  inflating: cat_12_train/jRZrvTukc9PsKi43C0SMJ2tpyBWGVYqH.jpg  \n",
      "  inflating: cat_12_train/jsThJuVYQxUKSz3btXdA5q8M1O9Cioaw.jpg  \n",
      "  inflating: cat_12_train/jStqZO8PTIDn6zNMoeXuH51rUJ2G7Qli.jpg  \n",
      "  inflating: cat_12_train/jSXOY7LbPDoUAKaJ0WnuGtcIk9eg4wqr.jpg  \n",
      "  inflating: cat_12_train/jtQd7RJbGgoLZFA0pPCk6YisDBHnMxI2.jpg  \n",
      "  inflating: cat_12_train/jui1b2KLR4hyNqXxPwZOWoM3szJpt8Qk.jpg  \n",
      "  inflating: cat_12_train/juYLnKa8BSJoXIUDbwp76tN3lOeRxCks.jpg  \n",
      "  inflating: cat_12_train/jvELtcnmCsKo2ripS75Nd6HQZT3Akb8h.jpg  \n",
      "  inflating: cat_12_train/jWabB7E835KNcUuLHwS9qkAhoFpm6VRD.jpg  \n",
      "  inflating: cat_12_train/JWCIdfGTayLDezlU6xwXm8FRh34KM9b7.jpg  \n",
      "  inflating: cat_12_train/JwmiPT6hsFfCbnjxQgAIyRz2t5Od3SkZ.jpg  \n",
      "  inflating: cat_12_train/jWPXtA07yYrcRxNBUkwC9dpuSs2M463e.jpg  \n",
      "  inflating: cat_12_train/JXSFQGq6HyoB0ZCf2NiUcsb19DeL7gvh.jpg  \n",
      "  inflating: cat_12_train/jyBM0vPYLr3C79XcSguJlKTbzeoFIdE2.jpg  \n",
      "  inflating: cat_12_train/JyznGMuS5i4OBK2PdgU1alvYcbI98pj7.jpg  \n",
      "  inflating: cat_12_train/jZWaf0ne2R1pDo9hTBkCbA8YOq3LlQ5x.jpg  \n",
      "  inflating: cat_12_train/k3fyglDeanAM5t8huSXvdzjWIBG2NQ0p.jpg  \n",
      "  inflating: cat_12_train/K3tZiXTv4J0Ifhq62ePHRELVbzjCyNWa.jpg  \n",
      "  inflating: cat_12_train/K3Xj9oTuBNcCPSwx6Red0spVzQ87kF54.jpg  \n",
      "  inflating: cat_12_train/K5wdv0zEnx3cti4OagyPphCVJUIXYuSZ.jpg  \n",
      "  inflating: cat_12_train/K62yfLxCu8ZOztBEgi1MnPmFhj3dUsIN.jpg  \n",
      "  inflating: cat_12_train/k7mldasxUoTIuBvQnVqy34bwWSchOKtE.jpg  \n",
      "  inflating: cat_12_train/k7qSWimM1DnF9U2sLuIGYQbr8TAxlR5d.jpg  \n",
      "  inflating: cat_12_train/k7rfDEZRz6pT2yPAg30UdvBNKse4JVmx.jpg  \n",
      "  inflating: cat_12_train/K81Gmg49BIXcPbAafxRzVdsrykUjwlhE.jpg  \n",
      "  inflating: cat_12_train/k9HWNaG2Z1wUKAOYdSDu7vRr4xBqmTCV.jpg  \n",
      "  inflating: cat_12_train/kA7RVG3OgZoDeB1dLb59WsYr8aw0CcpI.jpg  \n",
      "  inflating: cat_12_train/KaA5YP67UWMGi4vjwO93EycD0lJgzCRL.jpg  \n",
      "  inflating: cat_12_train/KaBrwviuVhtQgUePmz6HZdfkEGpMxIbF.jpg  \n",
      "  inflating: cat_12_train/KaejoPNExS7rBstwvb31Am2Yn6pRO9uL.jpg  \n",
      "  inflating: cat_12_train/KAFmYbhQaw1yP0HnZX95uiOeo6zf8DlC.jpg  \n",
      "  inflating: cat_12_train/KAjlehM7gNS3kcQqTt91rvH68PxaXwOC.jpg  \n",
      "  inflating: cat_12_train/kaxDoXOlNCK58swnRWh1YqPF4egGymbf.jpg  \n",
      "  inflating: cat_12_train/KBPEO49S5jTrFfkz6MGDRZUynqu3h7sb.jpg  \n",
      "  inflating: cat_12_train/kBQV7YS3rgW2oJEesimD5Pnx0hpuZRH9.jpg  \n",
      "  inflating: cat_12_train/kc4SpomvCjA9FunRy0aXItezOHPsxYw3.jpg  \n",
      "  inflating: cat_12_train/Kcjv19ZCkbzYDSVsuXMyheiFm7qLfUg3.jpg  \n",
      "  inflating: cat_12_train/kdul9v4WAI8JS3UtzFhgo1pjYVm0i72L.jpg  \n",
      "  inflating: cat_12_train/KEAWpzcmV3NiaxhfGDC6RUQv1I2PXHel.jpg  \n",
      "  inflating: cat_12_train/kEsbimWTCZOKzG27xdnoaPYUB6SpA3yX.jpg  \n",
      "  inflating: cat_12_train/KeX2V68TYxRhn7ODSIpJ0GQwlkCftNHi.jpg  \n",
      "  inflating: cat_12_train/kF6j19aQoR3yHPEmdGYtJUKTNhI4VOrn.jpg  \n",
      "  inflating: cat_12_train/KFUti4uPRV1Ss0W8OYdNepcmAJCnkz9h.jpg  \n",
      "  inflating: cat_12_train/KGpvMzmh7eaSArY3TjOEyJkfI59ndgZP.jpg  \n",
      "  inflating: cat_12_train/KGT7F3Y6nqzEedZ8pOlQLjXx9AiCaHhV.jpg  \n",
      "  inflating: cat_12_train/kgvmwSpz5r8U3AduFBCKq6oWbc1IVD2O.jpg  \n",
      "  inflating: cat_12_train/KHvxwWgbG7s8E3ncTUzVy0lLQZfNBq5p.jpg  \n",
      "  inflating: cat_12_train/KIei9bDO3Fk4cpdXozqgmV20CtZrfWGM.jpg  \n",
      "  inflating: cat_12_train/kJK9OA3hXpMWeUY7cifvrz0BItn1VS2T.jpg  \n",
      "  inflating: cat_12_train/kjqwKsoi82TeGRJxWYHQpfUrzNmZPM4B.jpg  \n",
      "  inflating: cat_12_train/kKzQrE6GjfpeFhsXx2Ddu9YaTHc3PUbB.jpg  \n",
      "  inflating: cat_12_train/KLd3OjCMhUIFy9bg8o7QEflGT5ZsADr0.jpg  \n",
      "  inflating: cat_12_train/KLiXScAlDG34Oam8krBZ7eyn9f21HPhp.jpg  \n",
      "  inflating: cat_12_train/KLrjgx1Idqe6T3lbfOzm4pZv2JGisFca.jpg  \n",
      "  inflating: cat_12_train/Km9BZsaSUoxQ4VArcXYyHThIDRbq2t7l.jpg  \n",
      "  inflating: cat_12_train/kmW7GTX6uyM2A53NBZxibYRpQnIVatCH.jpg  \n",
      "  inflating: cat_12_train/Knb57wGFcvMItsOE9RQuCTi3erhVdlfJ.jpg  \n",
      "  inflating: cat_12_train/kNJ4Ss6RVTczQ9CYM8nywtdhPLGaBpou.jpg  \n",
      "  inflating: cat_12_train/kNREAvc7FDdagILZCxr08Xyh6Tb9n2VP.jpg  \n",
      "  inflating: cat_12_train/Kny8zFiIt4vxNSO6g7Lu9kGfdVJoqPC3.jpg  \n",
      "  inflating: cat_12_train/kolU6h9i4GMCZ5mEbF3VuXYwJe1v2zSj.jpg  \n",
      "  inflating: cat_12_train/KOP7Mkny62jTmaqYf13V8GCtlBdxN0wF.jpg  \n",
      "  inflating: cat_12_train/KOtF1LPXCimbnwjYelfgRkV2ys84rUpH.jpg  \n",
      "  inflating: cat_12_train/KQ0IAZoP94UtS6jqEJwbNLu3yOzknGHD.jpg  \n",
      "  inflating: cat_12_train/kQ7bya5sUH9nu1iDLMVCEW3Z2mtd4jBo.jpg  \n",
      "  inflating: cat_12_train/kraXyDYbN07MTZsfJ1UR93lpcivzLgwu.jpg  \n",
      "  inflating: cat_12_train/KRdpbB1iPSvy6LZsehmXIrNnHC7MGAwt.jpg  \n",
      "  inflating: cat_12_train/Krl9AwNHkoLcjt1EYOeDPC7fT6MS8nu2.jpg  \n",
      "  inflating: cat_12_train/KRSNzBgQI2nriP7h0TcoMk3Yvywm41bC.jpg  \n",
      "  inflating: cat_12_train/krst6dV38KyGb7MEU9AxOez0uFQRDh4l.jpg  \n",
      "  inflating: cat_12_train/KRvSj3wGZ6bDJmEnzBFIUxlsT78QPNHL.jpg  \n",
      "  inflating: cat_12_train/ksCcutfNrWSKwIFThMoixUBpEz9R8b3v.jpg  \n",
      "  inflating: cat_12_train/kSjRs8aUAgDxphOtdP9r34wT7JI5fXqL.jpg  \n",
      "  inflating: cat_12_train/KsoldbGyXNcEa3JR9x7VCD8FUtjfzvL6.jpg  \n",
      "  inflating: cat_12_train/Kst4TMDIBxnUSjze37HiclXkZW8hPAOa.jpg  \n",
      "  inflating: cat_12_train/KT3x7aPH9AIrlsZSdWUzQ8GBwpLM6Y1O.jpg  \n",
      "  inflating: cat_12_train/KTC3O0G4J2pLat81ysxH9Zkc6obQqViS.jpg  \n",
      "  inflating: cat_12_train/KTcq29u8AXQZ7PygtVDo0HnkFvexibja.jpg  \n",
      "  inflating: cat_12_train/KTeSF2xXkYWAon1Jd3pHBmR6U9DLuI0y.jpg  \n",
      "  inflating: cat_12_train/KtQi89ponOJFamcTCb1R7wVEALfqBPuI.jpg  \n",
      "  inflating: cat_12_train/ku1c6VDpdK9wLPA58YyztE7TZbNCMBo0.jpg  \n",
      "  inflating: cat_12_train/KU1np5Des6rNVMmzLxgw2vSEfIkRhyaq.jpg  \n",
      "  inflating: cat_12_train/KuP2x9IrBe37oGTDgisz86UmNR5j1EHw.jpg  \n",
      "  inflating: cat_12_train/KUXzT5iQJIfyScnogF7wu8V6h2xOPsLE.jpg  \n",
      "  inflating: cat_12_train/KVadWnEN89M7TcstlyZYj3Ow1X6eoGxm.jpg  \n",
      "  inflating: cat_12_train/kvdPyij6bhWSJRaBTlGoFsA5gZuN741z.jpg  \n",
      "  inflating: cat_12_train/kVn4vdbXoKDiSjAqW5JpLZU0u3eHh861.jpg  \n",
      "  inflating: cat_12_train/kwuLVmg7n9I4iEOzMQC1NxJfvX6Bhoqs.jpg  \n",
      "  inflating: cat_12_train/kX8Wv9GcE5L2QwHV3pP16AUhnyjdJute.jpg  \n",
      "  inflating: cat_12_train/kXVaHe1lf0yINh5Tq7pgWCBjEDi9MtcQ.jpg  \n",
      "  inflating: cat_12_train/kyFId1RmW4UNQtl8nLagc9xO0XH2bG5Y.jpg  \n",
      "  inflating: cat_12_train/kyO5p4YIwcDlNqUAdzFMR8SeWQJKPHCB.jpg  \n",
      "  inflating: cat_12_train/Kzku2qbE6iS3XrxofpB8THn7LVDaCd49.jpg  \n",
      "  inflating: cat_12_train/kZLfuWY2prwhIN8DES6KXAOQ7xzvFMG4.jpg  \n",
      "  inflating: cat_12_train/kzSxc489bNsL1PERIKOg0oqFVXfrtDae.jpg  \n",
      "  inflating: cat_12_train/kzTLYJAKe4H2OQhSU8xIjaM3lR6F1Drw.jpg  \n",
      "  inflating: cat_12_train/L09SBu8VIbc6s7KGxzHiF125X4yUa3em.jpg  \n",
      "  inflating: cat_12_train/L0icjXukl3fAIVgYyDsmvzoW1r9Tdhat.jpg  \n",
      "  inflating: cat_12_train/l1jXrmfbctwWsieU940xq8M632kRdTKa.jpg  \n",
      "  inflating: cat_12_train/l1NsjeJKdvFimRgh6IEZuqfxCw5An8o4.jpg  \n",
      "  inflating: cat_12_train/l1WfIcvOZk9jAn2xQwtSCEgY5XhRyoFB.jpg  \n",
      "  inflating: cat_12_train/L37m1UNcHgOAQrVwKl04I6z9PpxtCXGf.jpg  \n",
      "  inflating: cat_12_train/L3I2X1EAkoNYGt6Wfg85u0adO4VcbseP.jpg  \n",
      "  inflating: cat_12_train/L5l1bOjnIkesKu9g0GXT3qSoRHhmv7JM.jpg  \n",
      "  inflating: cat_12_train/l6ykeZgUh2LSD7sGqfczuCKvJoF9bdtB.jpg  \n",
      "  inflating: cat_12_train/L86JQlekn9Ko01TbXHYMFImdZ2upxg5h.jpg  \n",
      "  inflating: cat_12_train/L8yXE6rARx53dG1zwogluUpVKZW7FPQi.jpg  \n",
      "  inflating: cat_12_train/l9a30NmGWsIT7qwkfdLQnoRE5D1eK8hj.jpg  \n",
      "  inflating: cat_12_train/l9Z3gPwjC5HbhINcfVO8dnz1qAxBrJkU.jpg  \n",
      "  inflating: cat_12_train/LARaoWM5bcNmVsgTdC6peFf4QYKO7trh.jpg  \n",
      "  inflating: cat_12_train/lc9oeg0zAGwTNFysLWU1jHEtanSuPf53.jpg  \n",
      "  inflating: cat_12_train/lcMLmWseq5G1joOdHDrA8gQ64iXBN9wf.jpg  \n",
      "  inflating: cat_12_train/lDCG1Mc7ethXJwVg63aiKIFBpY9WoSrE.jpg  \n",
      "  inflating: cat_12_train/lDeiWhIb1TgjoP6USQE4OHuKBLZfGaAV.jpg  \n",
      "  inflating: cat_12_train/lDiQbJrxueVsdYHBmfyNRvZFnTCKhtq7.jpg  \n",
      "  inflating: cat_12_train/leGHU2KTVgJh9X6mPCBkv1WFZQRu84Mn.jpg  \n",
      "  inflating: cat_12_train/lEGUZgdfJDNR51HoiVKP47BymSrc6ue8.jpg  \n",
      "  inflating: cat_12_train/lfHsMxh9WJ5i8IcZEUL0dG463QXkPeqA.jpg  \n",
      "  inflating: cat_12_train/LfIoOrSNvKHQzsGtm5eMZc0lRuBXhTP6.jpg  \n",
      "  inflating: cat_12_train/lFrYVzkf0LnZeUm6GgPCKp5A4JiBjbOW.jpg  \n",
      "  inflating: cat_12_train/lFXgsp1wuT4WfVh3B52n7riteRKqLxPD.jpg  \n",
      "  inflating: cat_12_train/LhCrVdFNEU8qbKRksWPeyw0M7ua6Q9im.jpg  \n",
      "  inflating: cat_12_train/LHFeKqA7bTyo2UvMkVwYuIpQ9c5f3jRE.jpg  \n",
      "  inflating: cat_12_train/liZAcvmdbX1jae6STDqwQLpIkUJ8O9s5.jpg  \n",
      "  inflating: cat_12_train/lJftiOFU1qdj5nrSBmaPELbWuAGcRX0o.jpg  \n",
      "  inflating: cat_12_train/lJH08rVXC9oMqRufTcFwI6p1hKYxZBmv.jpg  \n",
      "  inflating: cat_12_train/lkBodNiMxWrAEKIfCzRUOT7G0L4SwHn1.jpg  \n",
      "  inflating: cat_12_train/Lkuo9ITfqFglWV6bmixe7nhXQK2rNG1Z.jpg  \n",
      "  inflating: cat_12_train/Lly8AVnbGhBc37m6xNOFUIJa25MvD9Kt.jpg  \n",
      "  inflating: cat_12_train/lN4JYFHKvLIwUg8mtRTbzCd6qAX3215s.jpg  \n",
      "  inflating: cat_12_train/LnNRq485zfeGiAYjyHvlbmP6ME2CgFSW.jpg  \n",
      "  inflating: cat_12_train/lnwIG4CSXgxRPuAp37QVYZLv2bWkHKOe.jpg  \n",
      "  inflating: cat_12_train/LNyTGb86kKrEMCaOvs7lAQZchwe0tRXH.jpg  \n",
      "  inflating: cat_12_train/LOBI0ExX4zUukMD2SPtHjgeQVbmrNpAR.jpg  \n",
      "  inflating: cat_12_train/loG9VQ4H1BNjEaDFRwyvxdcbrAWCTnph.jpg  \n",
      "  inflating: cat_12_train/lohQUkGf2LzjieKg4rbPCqAYI786FStM.jpg  \n",
      "  inflating: cat_12_train/LOKQAB81untJU4Fkdg96TsRwVrZ7IX32.jpg  \n",
      "  inflating: cat_12_train/LoMQvxiKJ71Su4VUEeRcHAWYB03wyhpX.jpg  \n",
      "  inflating: cat_12_train/lOrARvFWVNUxG31LqjQapM8tdmCJYuhE.jpg  \n",
      "  inflating: cat_12_train/lP6eM31BJZEfGkoHXa0Fhrwptqs2djCi.jpg  \n",
      "  inflating: cat_12_train/LQ7d1npBC5RNYMrEiSXu809ToAvtJGeg.jpg  \n",
      "  inflating: cat_12_train/Lr9G5iQ07D4e1cUAKT2zmSPboCBgHORd.jpg  \n",
      "  inflating: cat_12_train/lriAW42gIPQ7pTnuaS3moLUdKtfCxVbZ.jpg  \n",
      "  inflating: cat_12_train/lRT6051ArDYUImyjt7LHck3PnMbOeaQx.jpg  \n",
      "  inflating: cat_12_train/lsH90DdM8nxaPOGpFQkYtvcuJerBgf7V.jpg  \n",
      "  inflating: cat_12_train/lT90sNwhrgFfWjmb4oGDauQ1VKcBnYIv.jpg  \n",
      "  inflating: cat_12_train/LTMkHx9w2nfsRiZec3bEVtmujpv7qS1y.jpg  \n",
      "  inflating: cat_12_train/LV9t7CsxRfUlWMQk3uEGFnDHaZmSPeIb.jpg  \n",
      "  inflating: cat_12_train/LVjFiBZTOPu65C1rdWvM9a7xlUYwcm3b.jpg  \n",
      "  inflating: cat_12_train/LXImxiZYp2Na4Kuo9HklWTCBqOnbSUwf.jpg  \n",
      "  inflating: cat_12_train/LYaciuPUrv9k4dWm7Qp0H3zDSFTIEjZN.jpg  \n",
      "  inflating: cat_12_train/lyp0Ggk279oRX6U1FJNqxdPbQeIYOShc.jpg  \n",
      "  inflating: cat_12_train/LYpTVHSRdn1bhPgJNGfmBeWXvZU3s4uy.jpg  \n",
      "  inflating: cat_12_train/LyukXGUsOw2fABq6zQRb1iHFPY0oxhTI.jpg  \n",
      "  inflating: cat_12_train/lyzQ2sAdkYXvTUNOR017pVWceSmb3q8B.jpg  \n",
      "  inflating: cat_12_train/LZbHm6GK2vMQVzY7DPAn3pIaEUJcNWlT.jpg  \n",
      "  inflating: cat_12_train/lzdLQKFsumr05vxDgbit2ojWCTRcAa7k.jpg  \n",
      "  inflating: cat_12_train/Lzq3pFNZh6oQHwYWJTfVe9la8RkcuMGI.jpg  \n",
      "  inflating: cat_12_train/LZQgKwr6VDyCpbMBfHx2PT9uidWqkOYa.jpg  \n",
      "  inflating: cat_12_train/lZw3RmTe7EPbxGSL1WYqc409ohIfC6Ov.jpg  \n",
      "  inflating: cat_12_train/m0UbunyhBsKa2NCjvJxgeO8SYiZRQ6TP.jpg  \n",
      "  inflating: cat_12_train/M0ZWIAplsLzVQUhNqrB6xFX8fKy3mwOD.jpg  \n",
      "  inflating: cat_12_train/m2azqs0NGPDdjR8rUTxWF4covLE5ikQZ.jpg  \n",
      "  inflating: cat_12_train/m37SdwJeijzXaqHR5x1CMYyUckvWou2V.jpg  \n",
      "  inflating: cat_12_train/m4f1teFpkscaZ2uElgYLOUX635WrH8Aj.jpg  \n",
      "  inflating: cat_12_train/M4Tu2RwrnIKFe1mOShX7bA0fdpLNDvBa.jpg  \n",
      "  inflating: cat_12_train/m5z8AardBTiHLMSG0Rhtn1uXIlUKjJYk.jpg  \n",
      "  inflating: cat_12_train/m65lcSDO3GJNfprHBQxXEeU0CqZjYwvA.jpg  \n",
      "  inflating: cat_12_train/m6xilDwZdb59rBSCIhVNskoHP4zOT01M.jpg  \n",
      "  inflating: cat_12_train/m8YgMqDlVZ4aWFPOnKRvpTUo2sLxCSJG.jpg  \n",
      "  inflating: cat_12_train/mA8qhPbRC3F5sBpuHdMGS4grE1DXlaiQ.jpg  \n",
      "  inflating: cat_12_train/mA9csXEUoKTZ2iRWnIHqevPj6SJaplOu.jpg  \n",
      "  inflating: cat_12_train/maronbZXdWKl8YBwqv7SCcUJ40eVxIMQ.jpg  \n",
      "  inflating: cat_12_train/Mb3cFzRIl1iqtNjD70rGxasJ9A4PVgn6.jpg  \n",
      "  inflating: cat_12_train/MB78VNFos169DetibhPfjS3aknOGxrYA.jpg  \n",
      "  inflating: cat_12_train/MBGDRHV9z8KtfPdIZXvnEw5Jb1L0l26g.jpg  \n",
      "  inflating: cat_12_train/mbl4jstaHZ75gJuwzSV0Qh9qIcLpNR1o.jpg  \n",
      "  inflating: cat_12_train/mBvn54CXS8VF0iqJTzseAOKfawdEIxU6.jpg  \n",
      "  inflating: cat_12_train/mD17CRUb8u9vYqtdrawN4HfxLgKGPABF.jpg  \n",
      "  inflating: cat_12_train/me08GEjsFaQRKfulN92t5wXVq6bdrWUA.jpg  \n",
      "  inflating: cat_12_train/mEa7fyHbXCpOe21WLsAnYQzdU9ql8JVk.jpg  \n",
      "  inflating: cat_12_train/mf6bYhLD7XvBGqA1QVx52Sjsz4KaCgky.jpg  \n",
      "  inflating: cat_12_train/mFNvt3bHRXK1cpQ7DCUjEs8uxakT026q.jpg  \n",
      "  inflating: cat_12_train/mFpj85EMeT7BAYgZz0rH4wGdnQsVyDUN.jpg  \n",
      "  inflating: cat_12_train/MfYG123Z8kv5S7FDQTejKbonPEUOXcwJ.jpg  \n",
      "  inflating: cat_12_train/Mg5koblfj4vaP7JDGpHKzYEAQyIBZdxN.jpg  \n",
      "  inflating: cat_12_train/mG5U0glNjCd261sYA8nVtSOWrQok93pB.jpg  \n",
      "  inflating: cat_12_train/mGKPbT0BWJ1Rp9QszUjunZNrwE4qYX7F.jpg  \n",
      "  inflating: cat_12_train/mGtCJUI4rBefio9Qxpy8MHqd1SawLjuY.jpg  \n",
      "  inflating: cat_12_train/mh15eayCuGsJdXwkFpKIPxc9AO2gBlWb.jpg  \n",
      "  inflating: cat_12_train/mh9MYUqpa31S47Tcg0kbVd5JlFWrNzXC.jpg  \n",
      "  inflating: cat_12_train/MHlNnGJuEjgyp0zT1PChtvcAOBxDd9Yi.jpg  \n",
      "  inflating: cat_12_train/mhZUnCx9y3B6XcOW7zHekwMDjt40ulPi.jpg  \n",
      "  inflating: cat_12_train/MIEbl3SA4WLzrPUevT5jnQR68miX0sVf.jpg  \n",
      "  inflating: cat_12_train/mifEeJyt9zX8WGF2VKosMgkj5OBncvZr.jpg  \n",
      "  inflating: cat_12_train/miO3kS0G9efcbg2IdTJH8KwzQsnEupYv.jpg  \n",
      "  inflating: cat_12_train/mJ7Gij2VTdsfgwI3evRFMOQSWkHpLAt5.jpg  \n",
      "  inflating: cat_12_train/MjaYXpieyRUJ0Z87AFT1EhHSgL5vtIzb.jpg  \n",
      "  inflating: cat_12_train/MJOxjDF9znkbU3l8WhEIoCSmXtGP4BHZ.jpg  \n",
      "  inflating: cat_12_train/mK3Z6Y7zR1MA5dqVyIrBbCt9FgcJs4xQ.jpg  \n",
      "  inflating: cat_12_train/MNlJbBO80S1QeFmK3XjrLZEPg96vudcV.jpg  \n",
      "  inflating: cat_12_train/MOg9kuefx7Hp3ZBN4lDiL21oPRsrnSjc.jpg  \n",
      "  inflating: cat_12_train/MOGw0PDqjmnLdViez26b7WY3hU85vatH.jpg  \n",
      "  inflating: cat_12_train/mOh6qLwpcCRlIGi7FNBsnEobzjS1UA8e.jpg  \n",
      "  inflating: cat_12_train/mpeJO5Vz0s4AFbCaZ3wQcoWy6ETk79Lr.jpg  \n",
      "  inflating: cat_12_train/MqEjw9hV0WAkJmLyKtoD7FbRucYBTOpl.jpg  \n",
      "  inflating: cat_12_train/mQwqT3JboLFaX6gVOieSKsGYv9cRfP4x.jpg  \n",
      "  inflating: cat_12_train/mrgAsyPJdDvwp1EYnUG3Hj92ehMTKNxt.jpg  \n",
      "  inflating: cat_12_train/mSAJa0vyjT9PYZKt5U6znhebOcMqwWsx.jpg  \n",
      "  inflating: cat_12_train/MSEbaJvT25Ig8zw4Of9Ur1kXi7pteHNP.jpg  \n",
      "  inflating: cat_12_train/MsfbxShNgHzdDrTXnGF9QquowI8yBOCj.jpg  \n",
      "  inflating: cat_12_train/msVeUiMbwEfotNHDpXlPuFAqvk6Ga8JS.jpg  \n",
      "  inflating: cat_12_train/mTBkhR9SDunMgVNUf3zqjPsOJoIl4CdE.jpg  \n",
      "  inflating: cat_12_train/mtHdipTf8JCrxSejo2vI3uB56F4qN1Rc.jpg  \n",
      "  inflating: cat_12_train/mtSG1AhElaYUpTOQvzoN2rZiJICLdD30.jpg  \n",
      "  inflating: cat_12_train/mtx0F2BYohgUeDf7cbXLvNnwzyWMPEk8.jpg  \n",
      "  inflating: cat_12_train/mU1axGsYBgnONCjITMLQ68Peou7EdyzD.jpg  \n",
      "  inflating: cat_12_train/mU68lBj4p0ndDFr2bq5Rx1IefYLSzAyh.jpg  \n",
      "  inflating: cat_12_train/MuoBiRO5IlULX6z2cZrG0gaCSYHQjJW9.jpg  \n",
      "  inflating: cat_12_train/mUp6082yMQghXY13OtvxabTrNSEeiu4B.jpg  \n",
      "  inflating: cat_12_train/mUPXZNvT6Epa9ioB4WVktQdD5HrqFzM3.jpg  \n",
      "  inflating: cat_12_train/mUTxWDiLs3vutkYBj0Oaf9o8znrJ4C6F.jpg  \n",
      "  inflating: cat_12_train/MV5C7YmuzG1LyZplFXvqOQkW4JStjcNP.jpg  \n",
      "  inflating: cat_12_train/MVPHBavXdWTr8JmkDK1CpequNQUot5Oj.jpg  \n",
      "  inflating: cat_12_train/mvpMUrTILDZROH5QGqg7BoVXAyl82n09.jpg  \n",
      "  inflating: cat_12_train/MWcaoi5s4npXyHThYmFZNG1rbutv8IRx.jpg  \n",
      "  inflating: cat_12_train/MwZIekE7oxPtRpTHQVf4l6qA2iC1zWLh.jpg  \n",
      "  inflating: cat_12_train/mxBh6jbe8TNMy4oOElCAY9nVvKiGcHLw.jpg  \n",
      "  inflating: cat_12_train/MZ81BkpgyLVKzUwOCI3RsPhxiEj5dael.jpg  \n",
      "  inflating: cat_12_train/mZIlgDHaGiFkjOyYcJPs8CqxK6L9bMop.jpg  \n",
      "  inflating: cat_12_train/MzriLUynd21hRBXPmoZskYuDjAQ7tJvN.jpg  \n",
      "  inflating: cat_12_train/N07iapAYDeQJIc4jEqZH95sWMfuhLCTX.jpg  \n",
      "  inflating: cat_12_train/N1VpzqjoRmPZCQ5KasAv72TwtMDFrG0d.jpg  \n",
      "  inflating: cat_12_train/N4tSwvJkZBlCoHF13uh9KLbVRsxce07i.jpg  \n",
      "  inflating: cat_12_train/N52Gld3Tv9cKX06yBVjgZeRaFfQhtYED.jpg  \n",
      "  inflating: cat_12_train/N5p3cFKAMiseqtZDUayRPkX60YuHdoT9.jpg  \n",
      "  inflating: cat_12_train/N5XosuxBjUTGfWd8kvFS9q2YDHyK7pMr.jpg  \n",
      "  inflating: cat_12_train/n6eEkjauqKGZgAmlLvDFt0BpXUV42yRS.jpg  \n",
      "  inflating: cat_12_train/N7DbE60t3C2pMOQYZUKHFfivyI8usdTA.jpg  \n",
      "  inflating: cat_12_train/N7sSjCPc0gJIkedZX2lAU85TfrDh6QFq.jpg  \n",
      "  inflating: cat_12_train/N9uchwMdJpoT3XCZatF8bvy52kV6OzPl.jpg  \n",
      "  inflating: cat_12_train/naHSZ1fcCp8AXTk0iho4dMVDmsjKwGYv.jpg  \n",
      "  inflating: cat_12_train/Nb0FTmMzaVgiAYt6e4csZQUnPLGdD8j2.jpg  \n",
      "  inflating: cat_12_train/nb5IHk2C9ozPlEfhdWN7xQ8AJwZqTOMU.jpg  \n",
      "  inflating: cat_12_train/nBDRImiaOkUe5TfJYxbryZAKcpNCSto0.jpg  \n",
      "  inflating: cat_12_train/nboxcWlKACU3Tq17QNhySe4ZpriksJfB.jpg  \n",
      "  inflating: cat_12_train/nbvr0CDJi9GuMWmEKSH4sFhjVdoBX51z.jpg  \n",
      "  inflating: cat_12_train/nbvYyrd5jeWxOGgADq4E8fJuFlmwsMHQ.jpg  \n",
      "  inflating: cat_12_train/NClpGTUbXWAExkuVyahstnwIMzDBc8m3.jpg  \n",
      "  inflating: cat_12_train/nCxr12NJQsBGX73E8OtDelVzTI4g0iL5.jpg  \n",
      "  inflating: cat_12_train/ne4B1Q65G08jSzCfxrcuNdhHWam97lVE.jpg  \n",
      "  inflating: cat_12_train/necuixBO6FTUQrZRaXyNY1JbwS7lGIvj.jpg  \n",
      "  inflating: cat_12_train/neHaTbwPkdVmoOA3JyWxR7Lh92NDpzEf.jpg  \n",
      "  inflating: cat_12_train/nFLO0m2DVp8b6CqSTGdlEXyWjiezAoUt.jpg  \n",
      "  inflating: cat_12_train/nHfDoId8SXKzMt1weR7bJlaWPcNx32yv.jpg  \n",
      "  inflating: cat_12_train/NhoFpSHxADbUZ1JPrqgvz4iOjnMycLKa.jpg  \n",
      "  inflating: cat_12_train/NIEQwjS0frVaTFBLJXZemWynxzotpbDd.jpg  \n",
      "  inflating: cat_12_train/nIMwluxDjPOCKA8NFydrTfkEq9s1Yztc.jpg  \n",
      "  inflating: cat_12_train/nIRVefNDaE9Q1KrWjwg0my7t3G42zcdo.jpg  \n",
      "  inflating: cat_12_train/nit0qApVvkGJ3BHXsy2TO6zg8ZwFb1PN.jpg  \n",
      "  inflating: cat_12_train/niVMeJCFPTgsKtB176a0xubRdyLAQNkv.jpg  \n",
      "  inflating: cat_12_train/NJGkcpmBRjxyUS4QHagKEFub8ePhVndA.jpg  \n",
      "  inflating: cat_12_train/nKcJetPQMvVUirquWxYgTpN9A5G6BOkz.jpg  \n",
      "  inflating: cat_12_train/NlJ4MCF1DcwHikI7S2m6GXOdsb9fLpgj.jpg  \n",
      "  inflating: cat_12_train/NlrZGIfOVUFMt5m1XHhJpQPCuReiBgAE.jpg  \n",
      "  inflating: cat_12_train/NMB6VGWltObwdKyjuQFHqS51AvfpCo38.jpg  \n",
      "  inflating: cat_12_train/NMmVthf4or28UgbLA1GR6KwuqpCODZkz.jpg  \n",
      "  inflating: cat_12_train/NMWxGBAR65k9X7tjilVyhIDHPsLmbu21.jpg  \n",
      "  inflating: cat_12_train/nN1a7gyj40oL5MOmHwpzb9fJYhe8Rvcr.jpg  \n",
      "  inflating: cat_12_train/NnEMtXQs2Uuyv6KOkqfF4egzibWTCoDG.jpg  \n",
      "  inflating: cat_12_train/No0cR6tsezY3Bub4VgMyXfWpQK1UZLTm.jpg  \n",
      "  inflating: cat_12_train/No5aVlYu39mzvbChspeE07Dtq6Fi1Afd.jpg  \n",
      "  inflating: cat_12_train/NOZ3nGhIigw2qJbpYkjR1yDCSEdLr0mx.jpg  \n",
      "  inflating: cat_12_train/NpAHiwEubC2Fa40oksPr9lXxcjnQ8VGZ.jpg  \n",
      "  inflating: cat_12_train/npBoNlF1DmQZkad68tPhxg3KyuMeEROv.jpg  \n",
      "  inflating: cat_12_train/npyejYbuxhQDt1GfBErHA6Zod2kPR0Xl.jpg  \n",
      "  inflating: cat_12_train/NSZdMrq5neJ2mgcRP0LTBjwF3YQoCHOE.jpg  \n",
      "  inflating: cat_12_train/NUjQHAuP7BepZyVbmODai5oJzfFqcCkd.jpg  \n",
      "  inflating: cat_12_train/nuVts3fo96XjaKrF7xcgPDvbzGQ28mqe.jpg  \n",
      "  inflating: cat_12_train/nuyNOpUCPtwd85DZbELFWcs1oxBlQfVK.jpg  \n",
      "  inflating: cat_12_train/nw9BDXbWRoJl1aqFrE47ez8V0NGfdUO2.jpg  \n",
      "  inflating: cat_12_train/nWJVugF0zxqhbP3rpMONi6GLjTZCQEl7.jpg  \n",
      "  inflating: cat_12_train/nWvTVLy9EGrOuJp6c5g1Km80HNwazlxi.jpg  \n",
      "  inflating: cat_12_train/nwWGBgzFJvi2REclUMX5upbfmTL9jD6C.jpg  \n",
      "  inflating: cat_12_train/NXe97uRzlM4iY1n25KgaI8jQoBvSt3rA.jpg  \n",
      "  inflating: cat_12_train/nXVZgbGKh9Jo5IRUW0BuiDOtCFPxNLSc.jpg  \n",
      "  inflating: cat_12_train/NY3MPh8O5Sw0HvlVo1LCUXeaGgmRfiKT.jpg  \n",
      "  inflating: cat_12_train/nyc2Y5rodCHT0feNasBDR8mqg6XQWIxL.jpg  \n",
      "  inflating: cat_12_train/NyudplC0Qe6ZfR58j9kPrEMStYqHo2LV.jpg  \n",
      "  inflating: cat_12_train/Nzg4W0Ri7P38cmrbokxuJGyh6Ke5fOL9.jpg  \n",
      "  inflating: cat_12_train/NZmsGKCXy0k27MpEfJ9o8qnrITDAbFS4.jpg  \n",
      "  inflating: cat_12_train/NZw3P0Wfz4JDsSECG8y7HXihl2Oon6rA.jpg  \n",
      "  inflating: cat_12_train/o0tvdli3kG5OSf264KP8zwBanFC97x1q.jpg  \n",
      "  inflating: cat_12_train/O194nvizK5ux3LoZlgpdXWjafT7tSMEh.jpg  \n",
      "  inflating: cat_12_train/o1g6adKmS4lBDw2F5buAYnetUWh7xXGz.jpg  \n",
      "  inflating: cat_12_train/o2sfuOzdg7KxSqRiMreUTjAmbvl1ByaN.jpg  \n",
      "  inflating: cat_12_train/O40m3WwqFuvg6Yok8PG5JBZTeR7ELbNH.jpg  \n",
      "  inflating: cat_12_train/O4ngsbF7cjr3CXoPzJLvE5kaIxdANU0Z.jpg  \n",
      "  inflating: cat_12_train/o7Hdxa8MTIeSGuprchUO6wfB3KmnAEQ2.jpg  \n",
      "  inflating: cat_12_train/o7LkXajWnPKNlFM9tBgr1f4CUw82ZAGz.jpg  \n",
      "  inflating: cat_12_train/o8ERGHrndUgJNTzteFuZ6lq0p7PIfbBO.jpg  \n",
      "  inflating: cat_12_train/O90iPesqCvDkhbdM1SK8gQ6HTaBLoWjF.jpg  \n",
      "  inflating: cat_12_train/oajgUSicM1b3FdAZsOTQKVLy6YNDem2h.jpg  \n",
      "  inflating: cat_12_train/obRL95fxtP1uCNBwQiTjWsdqUvgp2Z43.jpg  \n",
      "  inflating: cat_12_train/OcD9Y3UFlaGWpu1kAT0Z2M5qdjybxEwV.jpg  \n",
      "  inflating: cat_12_train/ocgQaqYtMTruUpEXI5Wyw24DZ6mJAVFS.jpg  \n",
      "  inflating: cat_12_train/oCS1dzRBj3kFyVpG7PUiHKmtln4Zc92e.jpg  \n",
      "  inflating: cat_12_train/OcTtda59fvRzniAeSgsxubL41MjDBwZN.jpg  \n",
      "  inflating: cat_12_train/OCXPGzodQsZHRnfMFaBkqW9hKYxA4glr.jpg  \n",
      "  inflating: cat_12_train/oDc9XxipzfBjUAEl0hOmyd4PNr5v8IsG.jpg  \n",
      "  inflating: cat_12_train/oDE3wTP4tzH70gR9LUiVpQvZduy5bcYC.jpg  \n",
      "  inflating: cat_12_train/Of8YgNdDpoKw0qTauUCvQMj3I9XW75EB.jpg  \n",
      "  inflating: cat_12_train/OfGSX2cImWx3Kibj8ZzC5nAtMBqdg4rT.jpg  \n",
      "  inflating: cat_12_train/ofS3CPp5JRtvbxIe6OXls0uEZD8YAcdN.jpg  \n",
      "  inflating: cat_12_train/oFXrWl80gRMenqPbG2uZv5wk4KmHjaNd.jpg  \n",
      "  inflating: cat_12_train/oH8DyzIMsW2AvYTkGCaxc5npRQeu0tJj.jpg  \n",
      "  inflating: cat_12_train/oH9zfK6kL0WQc57DJSXb8vwgTyiPIYnB.jpg  \n",
      "  inflating: cat_12_train/ohemzHRia7lLnvjg6QPY4Spr21GOEC8U.jpg  \n",
      "  inflating: cat_12_train/OhZk4R9co2lNGYsb5f3pTWBrCEUgSQ8V.jpg  \n",
      "  inflating: cat_12_train/OI30EpjPzCc6Uo2nKvJahFfw4SNmZ1D8.jpg  \n",
      "  inflating: cat_12_train/oiU4YjnhNpI3JWagx8SuTCktA6qZXGRH.jpg  \n",
      "  inflating: cat_12_train/oJ4HWQkZDvta8rUyinRu9fVNs3BX1Kj7.jpg  \n",
      "  inflating: cat_12_train/oKcbW43UuTzaPxEQBkYgphLZ7nGSIqVH.jpg  \n",
      "  inflating: cat_12_train/okCKSIf9b2gZtBeNPxvX8y1uFJzprh3a.jpg  \n",
      "  inflating: cat_12_train/okuPfIq9RW1NyT4GJ6XLSMibpAvxK0DY.jpg  \n",
      "  inflating: cat_12_train/OKvn2uJmWQi4R9Cs8B7fxbkZtoczq31Y.jpg  \n",
      "  inflating: cat_12_train/okw9N05dAnsxgW2IuQy7eGhz1iLOqVrJ.jpg  \n",
      "  inflating: cat_12_train/OlLSIhZi9D2W4byP0J5TwE6NcpnoHxra.jpg  \n",
      "  inflating: cat_12_train/oLNGFnUPmQhxOkdbv37HwSj8uql4z1sp.jpg  \n",
      "  inflating: cat_12_train/oLvjfyOIYqzVHiX65SZ1Qd87TMEm4wan.jpg  \n",
      "  inflating: cat_12_train/Om2Tqdi91QpIKDceFsYAkEhPtGuzWL3f.jpg  \n",
      "  inflating: cat_12_train/omga5kBZQp8uF2eHjVtOWCJ6vchKdGYz.jpg  \n",
      "  inflating: cat_12_train/OmlL5orNxPX2bKBGHf6JVqUQC4Md13Eg.jpg  \n",
      "  inflating: cat_12_train/ONdusXq0ih8gtmASFc9rJHCbZwUTKfel.jpg  \n",
      "  inflating: cat_12_train/onQ9s3Mq1jKbA4zdR0uVr2kcSEWBIZYJ.jpg  \n",
      "  inflating: cat_12_train/opJaU5jOQrvD1SixM3wI8t7kRT2L0yG6.jpg  \n",
      "  inflating: cat_12_train/OpYJawNVMx5uq16IBXs7F3QcfibDhPzy.jpg  \n",
      "  inflating: cat_12_train/oqseSLnrQf93MzBJp6ictwRTK2FYbXHk.jpg  \n",
      "  inflating: cat_12_train/oRBJGMWtwvbrmekx2yYIENLPlVZSh5is.jpg  \n",
      "  inflating: cat_12_train/os5kaDubPM1hY7f6gRrSOZqNQFEAU89v.jpg  \n",
      "  inflating: cat_12_train/osvd6Vynt9kD3Xj8l7H5qUcm0gQ2FIau.jpg  \n",
      "  inflating: cat_12_train/OtC7YHXLaDAK4meBiJykMQxvG8Vb6lUz.jpg  \n",
      "  inflating: cat_12_train/OtLwiFhTS1WVMYzKrjnvcx3UImqfDyAQ.jpg  \n",
      "  inflating: cat_12_train/otNd8YzF47kuGbOUK5lB1HILpsZgVWcj.jpg  \n",
      "  inflating: cat_12_train/ovajDwmBMqus6rZH5tx2U9zPELnkJKg1.jpg  \n",
      "  inflating: cat_12_train/OveuYEFUAlq4kHJrfgSD9KWBxiMZ1c7C.jpg  \n",
      "  inflating: cat_12_train/oVryG4JUAtakc1Nqngv2ujiRfdEPbOzZ.jpg  \n",
      "  inflating: cat_12_train/ovY2atRg8fsZ4jTbKC0UJIOd7mlPEy9u.jpg  \n",
      "  inflating: cat_12_train/OW6e1GbpNsfmxFvLQKMnIByX4hDcS2io.jpg  \n",
      "  inflating: cat_12_train/owVixmZ76kDJlHcvYQdSuLNB9IOPg2Rs.jpg  \n",
      "  inflating: cat_12_train/Ox9Y37DebtpiEQIComnhjfTVUv2uFcG0.jpg  \n",
      "  inflating: cat_12_train/oxNuB92bTwHAkYOFRQ5Kgq0iIrE6p4ya.jpg  \n",
      "  inflating: cat_12_train/oXVfexh1FSlJITrUK6pnyzbLYdWcqQ9B.jpg  \n",
      "  inflating: cat_12_train/OxyoI43aP9AXSnLmEJgpMveGWNDuRdYq.jpg  \n",
      "  inflating: cat_12_train/OyjI0FRKc1MfNoCteYb43zBEL8PdDpna.jpg  \n",
      "  inflating: cat_12_train/oZin4PuwTet39xWCYhUBfvlzGyISb5DV.jpg  \n",
      "  inflating: cat_12_train/OZVWTF1XBhtDxanzmvMGiYu7JIr9peyq.jpg  \n",
      "  inflating: cat_12_train/p1AwMnd9fSVOelhLizUbuCt0TgP2rGBv.jpg  \n",
      "  inflating: cat_12_train/p1ji352o6vhd8l0Q4uNVRZrIgkSLnfBq.jpg  \n",
      "  inflating: cat_12_train/p1vzMiclx7jHgDrdk3qTns0Vhwum2A9E.jpg  \n",
      "  inflating: cat_12_train/p27oNiFdaXyfAZmEMlPgRIHO4kx6uVqG.jpg  \n",
      "  inflating: cat_12_train/p2OqzlbmduFKrnBJRekw4YMaZ7xGTICh.jpg  \n",
      "  inflating: cat_12_train/P5SMDa9I60QdYEwjteNnJvGTiF73xgOZ.jpg  \n",
      "  inflating: cat_12_train/P5YjEOKw3J7BvL4fXiyAohlbeIQNrg6S.jpg  \n",
      "  inflating: cat_12_train/p6vgGwmV2tYU9ebESXdqI0nfPJ43HONc.jpg  \n",
      "  inflating: cat_12_train/P7UcXADFjgtImh3HClZixkaRLSnV0qve.jpg  \n",
      "  inflating: cat_12_train/pA4u7fCHoO3vnWxcL1mGy8JqzXMwSa6j.jpg  \n",
      "  inflating: cat_12_train/PaLepfEt1cx7unrOkZjUodlSJqiyRVFD.jpg  \n",
      "  inflating: cat_12_train/paWDyCPL0G421AZzxlJn7ovfqRhVurw9.jpg  \n",
      "  inflating: cat_12_train/pB3xZ9WIAXwSltg0yDCjEP1HVmKYT746.jpg  \n",
      "  inflating: cat_12_train/PBydmvg26QWznof4xcbSLXEOZ8AiweUT.jpg  \n",
      "  inflating: cat_12_train/Pc28kzNqEfY35s1xLFTMyd7neGaS6lKZ.jpg  \n",
      "  inflating: cat_12_train/PC3ToHKLNBkOSmrJW45Xq7MR9yctIAZ0.jpg  \n",
      "  inflating: cat_12_train/Pc5U1HSZTkF3rVezfCEmsM7gYW9LKoGX.jpg  \n",
      "  inflating: cat_12_train/pcLq5UtkHdfg8KZv4Y0jGzJV9ax16yDh.jpg  \n",
      "  inflating: cat_12_train/Pco9ArIimhTQn7YF0WGUHXEdBb3jCxkz.jpg  \n",
      "  inflating: cat_12_train/PCVQeFpX14IwxBlWt9vz3g28yrASZRfH.jpg  \n",
      "  inflating: cat_12_train/PdloD9mMJvX4I8nUeiChkTFE6RwOGabt.jpg  \n",
      "  inflating: cat_12_train/pebD4UgWFBT8jcKJO1CHqQmGhkXYvAtL.jpg  \n",
      "  inflating: cat_12_train/PEbGd6vAT9hZCqnVXrHMcLzwmpsODj2y.jpg  \n",
      "  inflating: cat_12_train/pGZhxTXwzFSlj875gruyvqHLbVNsM3Pt.jpg  \n",
      "  inflating: cat_12_train/PIbktpOd2DqHwVceLzUyE7CmohMjNA91.jpg  \n",
      "  inflating: cat_12_train/PIpXbRiu68dm2s1DfxHJGAYLegOUMzoB.jpg  \n",
      "  inflating: cat_12_train/PJ9U4a7tGTqxzfAivcI0ZBSlO1VphMLQ.jpg  \n",
      "  inflating: cat_12_train/pJUHMiuQWKej2V4wGmOn63Z0FI1y7slB.jpg  \n",
      "  inflating: cat_12_train/PkbB2M4cGVm73D6xsIoHSr8aEdYulgjZ.jpg  \n",
      "  inflating: cat_12_train/pKXsBYzMng30Uer1SfiExOdWJvFTh8m4.jpg  \n",
      "  inflating: cat_12_train/PLpcyBQnoMeZRElh2XVw3SqxOdvb9rza.jpg  \n",
      "  inflating: cat_12_train/pLT4F3X0OqreZDJItdzKUa6CQbjVvymN.jpg  \n",
      "  inflating: cat_12_train/PltIATKGsuVXaUg8imoLyeJnpSWYj67c.jpg  \n",
      "  inflating: cat_12_train/PlYxHvzis4jJEn31ONZUwG6yphXFoIdD.jpg  \n",
      "  inflating: cat_12_train/PM0EgdQVcX2jrmyxpBvDOKaln17UNfuC.jpg  \n",
      "  inflating: cat_12_train/pM6urd0aXAgbnw2Ls58vjxRBo3I9CZUG.jpg  \n",
      "  inflating: cat_12_train/PMGhgEmR26aYOLBiz1uIt50j8xKXNQeb.jpg  \n",
      "  inflating: cat_12_train/PMoFIabq0W9U2wETZr7yf4JLYdBxv6hQ.jpg  \n",
      "  inflating: cat_12_train/Ppv1SKmxDe46y90aiOQUZqd7IYJgbcrC.jpg  \n",
      "  inflating: cat_12_train/Pq4Y83yKbX1E9xvwHmUnBAdoDpijMS5e.jpg  \n",
      "  inflating: cat_12_train/pqe1lKt5j0P8YGRVLcEUdJTs4Fh3wfgx.jpg  \n",
      "  inflating: cat_12_train/pRf0V4z25ImEZutNl18gdFP3a9OoTMCB.jpg  \n",
      "  inflating: cat_12_train/PrHShqYX3RFZ8WBVy2bl6Af1x7pOjEsk.jpg  \n",
      "  inflating: cat_12_train/prKd8qlF4SYfRtEQ1vx6PJ9akXwibOhZ.jpg  \n",
      "  inflating: cat_12_train/pSA8wZCnxLXGbaqJVIYkgN3iKl4vEh1o.jpg  \n",
      "  inflating: cat_12_train/pSHRFWOb0jgVJhnZ25YwQkIXNd4PaDvU.jpg  \n",
      "  inflating: cat_12_train/pTaL9BPGOAWefu56mNKDozVtcFygXhRn.jpg  \n",
      "  inflating: cat_12_train/ptBQO8mIiVvZUNahDWjHC6qgx57e0Pyn.jpg  \n",
      "  inflating: cat_12_train/pTe31kYFqwyOGmV50sbhgoLQ9KcjJaxd.jpg  \n",
      "  inflating: cat_12_train/PtsiUXopMvyQOjSrTk8A9CYV5uJlmHGW.jpg  \n",
      "  inflating: cat_12_train/puBcg8Fh6tXs27doz1aAIl4L0iVYC3wE.jpg  \n",
      "  inflating: cat_12_train/PUEFOcIqVAwZe5l19vCamh0QKbJRiX7G.jpg  \n",
      "  inflating: cat_12_train/pVk1HDLSf75ItKlarqCyMT3YhWPQeNjR.jpg  \n",
      "  inflating: cat_12_train/PVK9fQ3q0x75XoTmnLMYDblivt41ydNk.jpg  \n",
      "  inflating: cat_12_train/PwBJK7rZHDhq46ynYoj9Saxip0IldMV2.jpg  \n",
      "  inflating: cat_12_train/pwX7J9QWcFn4rNl5sBgiKV8fzuMZS3xe.jpg  \n",
      "  inflating: cat_12_train/px6TnUchLBI59ED2qjfVt4k1od0vGgFy.jpg  \n",
      "  inflating: cat_12_train/PxDXsYFfhCWSnAR1z9EJBdpce2M3H7tN.jpg  \n",
      "  inflating: cat_12_train/PXgHdJI0iOvujA54hqkS2Vo7pN3GWaew.jpg  \n",
      "  inflating: cat_12_train/PY4pZi5AR98HfCdIVtkDyuGz1veBmqTX.jpg  \n",
      "  inflating: cat_12_train/pygCMA7HvkwruW3b6c09qzEdRTJnoX8t.jpg  \n",
      "  inflating: cat_12_train/pzC5FfHG4I1ieQOo2tNy6w9m8WDYbMxa.jpg  \n",
      "  inflating: cat_12_train/pznq7EivBH9LwrNysIWxgGeomTlOP8cZ.jpg  \n",
      "  inflating: cat_12_train/pZVQlb0TGIxAvXSYyosKjmFcNE8LfUBW.jpg  \n",
      "  inflating: cat_12_train/q0oQPwc16AWg7vTYyhzKfIbOjn8lVLJ5.jpg  \n",
      "  inflating: cat_12_train/q1KN2zFoLBQyHU40lvEtYrXnGfZw6aTj.jpg  \n",
      "  inflating: cat_12_train/q1vKInd6R9kfaj3mWPtJAYy5OS7UoZEH.jpg  \n",
      "  inflating: cat_12_train/q3uxz1idfvnZtak6rbAYX9VKB7yPpSeQ.jpg  \n",
      "  inflating: cat_12_train/q46YNCa2zZuroebIdgmDUtkMHJK8cXjR.jpg  \n",
      "  inflating: cat_12_train/q4ClEc17aSoIMJWyTXPtOrugzH3fs609.jpg  \n",
      "  inflating: cat_12_train/Q51VeqXfMzEv9oJywRBOpubhU3txZCs6.jpg  \n",
      "  inflating: cat_12_train/q5co0YbURpw8iyKOPsQmCGdjzlJetHX1.jpg  \n",
      "  inflating: cat_12_train/Q5pWS6aEcgkMiLOT3GoqyDrjYFNZKJsR.jpg  \n",
      "  inflating: cat_12_train/q7IgAdU3e1D8nHl0rpwBY2TmXJocZjEO.jpg  \n",
      "  inflating: cat_12_train/Q80bMTAvhGkCqBzSDs5ofPtX1ycIJdUe.jpg  \n",
      "  inflating: cat_12_train/Q80DEFkGlxJj2qR37t4ZKpY6zMdvuIyr.jpg  \n",
      "  inflating: cat_12_train/Q8mkFIpAR9qMzJEaijPlOvcNGWBf425o.jpg  \n",
      "  inflating: cat_12_train/Q8VMabAIghvXGlqWwm6sp7jrkUFBuJox.jpg  \n",
      "  inflating: cat_12_train/Q9dU6wbLsvWkuINCOflqe8PVrRhzXmD2.jpg  \n",
      "  inflating: cat_12_train/q9lbrscNo1VAu7YWMzFiwGgH6EdKfvPR.jpg  \n",
      "  inflating: cat_12_train/q9YrDFK73Jfv15SHpTWelGAIwnBxt0iE.jpg  \n",
      "  inflating: cat_12_train/QalF3nmtiyPHuNSbOgTDdrw8Z7VGKIBR.jpg  \n",
      "  inflating: cat_12_train/qApBCYrWnsvcoezaxEK8FHfN0Q6RS7JP.jpg  \n",
      "  inflating: cat_12_train/QaUBASoyzvmc2rVRpxknbq5O9h1eKfu3.jpg  \n",
      "  inflating: cat_12_train/QbDUCoc5Jr7exP43fOTaGHd8WVnpskR2.jpg  \n",
      "  inflating: cat_12_train/QBGROPjcapnqwY1Ub7ifKgeZ6lHvms3u.jpg  \n",
      "  inflating: cat_12_train/qbjFxgGKe4QCUIw3HVLuE0OTNMJr85pf.jpg  \n",
      "  inflating: cat_12_train/qbKjsR05lrFVYfLChtMGD7im36cUgAnE.jpg  \n",
      "  inflating: cat_12_train/QbNzEyZf4kWLHYITCScX8wnUlhiKo2vG.jpg  \n",
      "  inflating: cat_12_train/QBzjAkUTICv0oFaNYLqxpf7rRKtXSucE.jpg  \n",
      "  inflating: cat_12_train/QCIxAUrcXfEG7eLbnKHk4sW1omitVvT9.jpg  \n",
      "  inflating: cat_12_train/qDaOdsTK9R7BImFwgL8Sy5Nk3JUhp2Px.jpg  \n",
      "  inflating: cat_12_train/QDwcM8fso3RF1rAPhBXxzZV6OgCNUjE5.jpg  \n",
      "  inflating: cat_12_train/QeacjA2wOq7hDvsmp603BRzZKftYugLn.jpg  \n",
      "  inflating: cat_12_train/qEpXyPVghfFb5cW8waCS6zmMjxLAIZB2.jpg  \n",
      "  inflating: cat_12_train/qfYQcORUuKGiDJrTy7EVzB5Lkb8WjHt3.jpg  \n",
      "  inflating: cat_12_train/qfySvGFBOVcJzPEXHlsg7e1U3L2K6iAC.jpg  \n",
      "  inflating: cat_12_train/qGHy8mD9oJdcxZw5XbNYr4Q1MjKWEPLa.jpg  \n",
      "  inflating: cat_12_train/qgimvDE8Zaf4PJ32dkNhwVy5nxATOtrX.jpg  \n",
      "  inflating: cat_12_train/QgWuRHISAtXL2hfT967FN4qmOKkVosr1.jpg  \n",
      "  inflating: cat_12_train/qhRJlMiYOXgsSAoNGraectwvj38Iu2WC.jpg  \n",
      "  inflating: cat_12_train/qhytR0VUgcP2NbGzEfoam4k5I8TZDLpW.jpg  \n",
      "  inflating: cat_12_train/qIB2YkxUeQKrVlDRZofCPhuO8LGNFmA5.jpg  \n",
      "  inflating: cat_12_train/qIEGJMTo5pvsd2WUyiZKNmlVxSucChPR.jpg  \n",
      "  inflating: cat_12_train/qj3yZFr4LJefIodENvgx2zU6TisPtGhk.jpg  \n",
      "  inflating: cat_12_train/qJBxUWEQ0MP25nsd86mjf3itv7LYFlRz.jpg  \n",
      "  inflating: cat_12_train/QjZ7nfx8N1K6tJTDbY9Eh3Byls4eLUPF.jpg  \n",
      "  inflating: cat_12_train/QKH0pkUy5O3resVCGX1v6bDSBwPLl8R4.jpg  \n",
      "  inflating: cat_12_train/qLSZmPzsbT2o7pCfFWjDdl3KGr5hAiVt.jpg  \n",
      "  inflating: cat_12_train/qlu9aAEsSiHmML0U7VZhjNFWz8QyP3bY.jpg  \n",
      "  inflating: cat_12_train/QlUX4zHfPZ3LxRDswqm5FeMbnTWNaj6g.jpg  \n",
      "  inflating: cat_12_train/qmCulQe8LKEDVOnwYpWjtU3P6RzhMN4s.jpg  \n",
      "  inflating: cat_12_train/QmgArdYkMZU15jlzPCfOi8wTya3JFb9V.jpg  \n",
      "  inflating: cat_12_train/qMHrW0hB4X2uJGPvsLDojRI7mfexyY9U.jpg  \n",
      "  inflating: cat_12_train/qmVOtibZLjE7s9GloY6AKd3rCwpzJfSN.jpg  \n",
      "  inflating: cat_12_train/qn2kJWDUeMysrCN9O43Kjf8SH160Xtxp.jpg  \n",
      "  inflating: cat_12_train/qnlC9j0Y1pLZJg3IRaBoUEfxTct8wM52.jpg  \n",
      "  inflating: cat_12_train/qNy8KsJC9GiO6rLmbgpneAE2tjcHVhfZ.jpg  \n",
      "  inflating: cat_12_train/QnYFaUEJZ5lpwRNMPqecr7vdGzb94fWD.jpg  \n",
      "  inflating: cat_12_train/qomt0IaW3pugMXvGf76zVdSPheA9YEyk.jpg  \n",
      "  inflating: cat_12_train/QONyMEULwIsF1f8YJD0PHXBtK6ldSr5T.jpg  \n",
      "  inflating: cat_12_train/qoze9VCpLDItvEynRgUFusWicbBTNY0S.jpg  \n",
      "  inflating: cat_12_train/QoZxOt7Gv9qeldUPL4fiWgIjcRpwsT51.jpg  \n",
      "  inflating: cat_12_train/QPAHnilMpBd3LkcY8X9gyvrjNb14EFVI.jpg  \n",
      "  inflating: cat_12_train/qPQsa0ZkuC78jt9WyiJ3IXNSwxbmGA4h.jpg  \n",
      "  inflating: cat_12_train/QqdM6phFvSPGExszL7f4UY8TwNjkXlgi.jpg  \n",
      "  inflating: cat_12_train/qQUVA5GCS0yNoOKYT3LDfaZB9t4dsxHp.jpg  \n",
      "  inflating: cat_12_train/qRhBpZiw5ANJaenOfGFruQko0D7KEzSP.jpg  \n",
      "  inflating: cat_12_train/qsREjhuBHekMLlX3VACUQcTYK6OIvS5y.jpg  \n",
      "  inflating: cat_12_train/qT7rt5vYJSj6AnUzcFaDM1BHbofgVKh0.jpg  \n",
      "  inflating: cat_12_train/QTRteKZasJzprc3o1um5XPxGyqVCnfvb.jpg  \n",
      "  inflating: cat_12_train/QupY0bHM39qUcWaNsOgil2wnv47SIXdF.jpg  \n",
      "  inflating: cat_12_train/QUYBH1RiJb67svmhgGceIfP90WlAyC8r.jpg  \n",
      "  inflating: cat_12_train/qUzAQS6IkmJWGHxB2lRbuswO31p9rXF7.jpg  \n",
      "  inflating: cat_12_train/qvOIheK0k5Hm1CSigZQJ8pVN7lMFyjLB.jpg  \n",
      "  inflating: cat_12_train/Qw3x5fiWCjKhqOrdZYAsbnHtveDo60cX.jpg  \n",
      "  inflating: cat_12_train/qwVW071QD5jv9bptefTAMLxhrJkgNyKY.jpg  \n",
      "  inflating: cat_12_train/r1D5Bqexf7FEJ2lacK39T4zOyLdQihNj.jpg  \n",
      "  inflating: cat_12_train/r1maMyplhT3fQcZtHYLXCd4SNo2Gqx8V.jpg  \n",
      "  inflating: cat_12_train/r2RBVDUIeNGWQ1ljL9b5oYP0Ftfscdxy.jpg  \n",
      "  inflating: cat_12_train/R4KWDkOrMsB9HuF185ephG0AjqlIb2oS.jpg  \n",
      "  inflating: cat_12_train/R4vYtpA1C8oKMNldOzHsBi7k3GTSxUeQ.jpg  \n",
      "  inflating: cat_12_train/R4xlgjVch6pSMfOKudBt8PUbWN920IYy.jpg  \n",
      "  inflating: cat_12_train/R57QmqTJ43N20AXDorwuM6l1OdxKFenE.jpg  \n",
      "  inflating: cat_12_train/R5Kag9uhQFqPzZnIUYGxA4rmHNpjic2b.jpg  \n",
      "  inflating: cat_12_train/R71WGeHM8b4KfcJdYgCI9xTawvSnqBAu.jpg  \n",
      "  inflating: cat_12_train/R9kE7jJSwWpNb5vIm6oOuldXq3xKgH2P.jpg  \n",
      "  inflating: cat_12_train/Ra9jJx7LiKsQnhkZHqyTVuwUv3m4B8oE.jpg  \n",
      "  inflating: cat_12_train/Rad4tqfUViNj2GFbLmAKv86SBQryuXT0.jpg  \n",
      "  inflating: cat_12_train/raKIRBE6mZGtdS5ijFxNsbhugy28UkwW.jpg  \n",
      "  inflating: cat_12_train/rAYHgGaR1oUjpDQ9EV5M8vTtBXZuSzik.jpg  \n",
      "  inflating: cat_12_train/RbhUaEdqZvcoz0F8unjYp62DTMWkXBGr.jpg  \n",
      "  inflating: cat_12_train/RBThwKic5UXONq46vgn8mFVlAkZSxQDH.jpg  \n",
      "  inflating: cat_12_train/RCXPHviBqtorwEcuyzs7epWG9mjAQaJn.jpg  \n",
      "  inflating: cat_12_train/rDBZJYFgE2lGVTz8CjAvSoiIR1xeupy4.jpg  \n",
      "  inflating: cat_12_train/RDgZKvM6sp3Tx9dlqiLNEVJjmcfQ0zI4.jpg  \n",
      "  inflating: cat_12_train/RDK59dzAV4pMhUPInEFgjoCkcQWfiYyO.jpg  \n",
      "  inflating: cat_12_train/RdNS28vH3mM0uzIyrpLCA6o9qUEQ7ebc.jpg  \n",
      "  inflating: cat_12_train/RdOqBPh3NiLl1480eDz9kopuVx6w7IEr.jpg  \n",
      "  inflating: cat_12_train/rdqtWMyNafF2Xpv7B3ClwoiYTPO1KEGe.jpg  \n",
      "  inflating: cat_12_train/RdYNcPDHAxo5afGCqTjy1JsKkwSOeXlh.jpg  \n",
      "  inflating: cat_12_train/rDZWPRhadwVfvi6bom7lsOn0IM4S39uq.jpg  \n",
      "  inflating: cat_12_train/Re8dYmx7FJqLozD6TUOjtXykfbSE4KI5.jpg  \n",
      "  inflating: cat_12_train/ReSjAxMN5YXod8Th3wLnymZaGJz0Ui46.jpg  \n",
      "  inflating: cat_12_train/RF4mdbfCT8hz7Z9PwNMQDqg3peBaHOEL.jpg  \n",
      "  inflating: cat_12_train/rfRYt0O1N43l9bDMWUE6ZmxkACwF5BIz.jpg  \n",
      "  inflating: cat_12_train/RfsxILtFmG6b9doHD18vl3n24WZzXQ5Y.jpg  \n",
      "  inflating: cat_12_train/rfuSlTCHoWA1Ze5gU3IkmXp8Bh76xKbw.jpg  \n",
      "  inflating: cat_12_train/Rg62Bxt7SNOkZ93LTElfdHXAQPDj05ra.jpg  \n",
      "  inflating: cat_12_train/rG9oQLYFXHlPNV7hdkBUEwsAn0y1cgM5.jpg  \n",
      "  inflating: cat_12_train/rGiFRCUD9O7SyEWAxz3l20B85bwLNdsI.jpg  \n",
      "  inflating: cat_12_train/Rgur8mfo2zV15CYi409XHD7UnBZsMElS.jpg  \n",
      "  inflating: cat_12_train/rHDLmGSBbTWkRsJw1On0eUtvKYf7ojqc.jpg  \n",
      "  inflating: cat_12_train/RhGY6U3qy4EWoaBJXTx9eiIrbpZlAFHf.jpg  \n",
      "  inflating: cat_12_train/rI8TQLxpD46P9YyhR37cM1tlfCBSZsaW.jpg  \n",
      "  inflating: cat_12_train/RIo9GbWyUVdgiNEfxpOB1MkYJQnzLXCt.jpg  \n",
      "  inflating: cat_12_train/riP4sKzwBnX9kuboga68EdGTmUNlxFLe.jpg  \n",
      "  inflating: cat_12_train/rIVnKBPE8TyY9AdNZgMDql5h7bv6uXwU.jpg  \n",
      "  inflating: cat_12_train/rIyq7bTGU9Yv0NHD4MRFP2KBzXktQ8cg.jpg  \n",
      "  inflating: cat_12_train/RJ1saVb90fkX2FG3YoACuprD5cKeNO8l.jpg  \n",
      "  inflating: cat_12_train/RJnThakSOGUzeFBdigXAm2NsL8jyYvu3.jpg  \n",
      "  inflating: cat_12_train/RkeLJX01EDOiTAtIS8a4o2B6gsK9GuW7.jpg  \n",
      "  inflating: cat_12_train/rKksd89RQoXMu0ahAjmLHVy7bnP4Nfc5.jpg  \n",
      "  inflating: cat_12_train/RKLDkUwmFg0Oj5tPeIs31y7J8AQZ9dni.jpg  \n",
      "  inflating: cat_12_train/rkRdeVlTqu7GoyPfBILgU58F9zSj3MCY.jpg  \n",
      "  inflating: cat_12_train/rLKzaWdIfvZlHTgsiY6wnUC1qAVmB5kS.jpg  \n",
      "  inflating: cat_12_train/rluViJkny8P7qj3MCZK59meGRxdIzTcX.jpg  \n",
      "  inflating: cat_12_train/rmw5hqySkxTQ3OXUd0R8AEc4VPL6ps9z.jpg  \n",
      "  inflating: cat_12_train/rn36xToKZycG4iIAHVFzMvbXSseYfL5m.jpg  \n",
      "  inflating: cat_12_train/RNdfrhtGZSgDYXlzw7cU2sCVFayBon19.jpg  \n",
      "  inflating: cat_12_train/RNKrZonDdPgzXTe364klOhCjwutafmvQ.jpg  \n",
      "  inflating: cat_12_train/rNsIvdjY3My6obHqtg2ScxUXA7D91e8i.jpg  \n",
      "  inflating: cat_12_train/Rny5ENHjDb4pIBrAtZFa8TO0MzXJxYPq.jpg  \n",
      "  inflating: cat_12_train/Ro1IaLSqrslCje6PfYQz0hTAkXDFcmWJ.jpg  \n",
      "  inflating: cat_12_train/roc10m4KkD58uUfP9dhSxQOiJXYnTslv.jpg  \n",
      "  inflating: cat_12_train/rP5xp2GqBosiyXCRElzISODc1FVTYwMb.jpg  \n",
      "  inflating: cat_12_train/rPfZGo1zT4OnytX0SiE8I9UCxaeQBlsV.jpg  \n",
      "  inflating: cat_12_train/RpuZdjJ2ios7gWHA0cD6XFyYL5qne3Qh.jpg  \n",
      "  inflating: cat_12_train/rPwbU89OkyFgEdu370oaMVGtKzNSnmYC.jpg  \n",
      "  inflating: cat_12_train/Rq5f8OmuaH6zMlhW0vAgEUcNpZes3Ijy.jpg  \n",
      "  inflating: cat_12_train/rqcNpBy6zbSIfx180lHTsJZ9YOEo5eXd.jpg  \n",
      "  inflating: cat_12_train/RQFGsMeLc39kAJTE6Xy184COUiuDtVjH.jpg  \n",
      "  inflating: cat_12_train/rqpJfWjuiClbFoe3z57sVTnx9tcLyIAH.jpg  \n",
      "  inflating: cat_12_train/rqPwmL7nd2hbutJ6HyiWzOckIoME9KYj.jpg  \n",
      "  inflating: cat_12_train/rslBUqDAtoT68EJbLc5jkiHeCp2Zvgfx.jpg  \n",
      "  inflating: cat_12_train/RsYG3VJi7NTXptoPQvWKhcFaDqIe4EkC.jpg  \n",
      "  inflating: cat_12_train/RTnMhFpvutO94z8H0ro5dIWyglK3bwk6.jpg  \n",
      "  inflating: cat_12_train/RTS2s3pqNiKkmQXLP8DF4IEHMCyJc1hW.jpg  \n",
      "  inflating: cat_12_train/rucMa8t93kfFXhxvIPYyWOmHKAL20CJl.jpg  \n",
      "  inflating: cat_12_train/ruleKNQvzwqmy5sn9MDd7I2RUJjVCWh8.jpg  \n",
      "  inflating: cat_12_train/RvXKbfDuF4W6exgVcInE3SktJa9LzBj8.jpg  \n",
      "  inflating: cat_12_train/RvZea7VH906XgWoU3myNcQiEzKIFqrJB.jpg  \n",
      "  inflating: cat_12_train/Rwgv4oZmACIDBerj8cbSUKsVx6z9G1WH.jpg  \n",
      "  inflating: cat_12_train/Rwpn56MAOVD27vc1rUldJtjbC9B4HguN.jpg  \n",
      "  inflating: cat_12_train/RXHEF6TgkDOfsJ8ohnedWv1wptBUZVA4.jpg  \n",
      "  inflating: cat_12_train/RyIHZSDlqVLTrKBvMQ9kNgEsO2p7Pwxd.jpg  \n",
      "  inflating: cat_12_train/rzjBb7Ja2cwGA0VP9dgKLNmXOCpHSh8t.jpg  \n",
      "  inflating: cat_12_train/rZsI08mbvPk74GMNRCOgzfBpQXjq219t.jpg  \n",
      "  inflating: cat_12_train/RZWpn9jGxcKSUb3Y56fVMQHlJhEIeNiA.jpg  \n",
      "  inflating: cat_12_train/S0nvgatFkochPCxd7K8Lp1ARBXTVGqQH.jpg  \n",
      "  inflating: cat_12_train/s0obeBOciXUITnEquWZ7GadQwvR2j1Nr.jpg  \n",
      "  inflating: cat_12_train/s3hFx46dgyR7QbDuWJm0YMiteNzU2kpV.jpg  \n",
      "  inflating: cat_12_train/S4hfUR5kOj7CXr826Gxa9t3bEBPioJq1.jpg  \n",
      "  inflating: cat_12_train/s4InqBht8xLMwCzQkmPy9uFNWiD2vElS.jpg  \n",
      "  inflating: cat_12_train/s8TKPwDiGeSvoYjQ3d74fzMZFXyNxOcn.jpg  \n",
      "  inflating: cat_12_train/S9oNWU1qbRQDTHiVvgZY8zG4tPfOpExs.jpg  \n",
      "  inflating: cat_12_train/SaeGA47IwyrfCk61ozVlbJLExtYNdZiM.jpg  \n",
      "  inflating: cat_12_train/SAgRL4aWrKd867NbOEXHFQGzTUnlkumC.jpg  \n",
      "  inflating: cat_12_train/SANI5VsGngXkz3T6rWKYbjp9HO7ioBRm.jpg  \n",
      "  inflating: cat_12_train/sapuYOyfL2A1WX7r8Zo0GFKtMJ4niPD9.jpg  \n",
      "  inflating: cat_12_train/scR9BoeVlmgz3fd5WaxJnX8Lrv0F1yNH.jpg  \n",
      "  inflating: cat_12_train/sdKFmXPQ7lZz3bW6hoYEVy5jRDL1fCrM.jpg  \n",
      "  inflating: cat_12_train/sePVnyACYR9OX2c0HTQtGuimazWLdEhf.jpg  \n",
      "  inflating: cat_12_train/seSavWTVF0hgkQPuJrdixyRtp1bfnKjM.jpg  \n",
      "  inflating: cat_12_train/sFqD9UAfQS0cewmhElV2j7puGP3YHkrX.jpg  \n",
      "  inflating: cat_12_train/sgor7SHqATk0pyeNuvm6WEDJwalQ5C2n.jpg  \n",
      "  inflating: cat_12_train/Sgzxuhtacylmq7G03e2HLWE6bfvkA58V.jpg  \n",
      "  inflating: cat_12_train/sh3n8b9cMYrawGEVJDROk17pN4e0LCzT.jpg  \n",
      "  inflating: cat_12_train/SHPMWLe8O7gZEkzalK9qtmAwc5rVTQFs.jpg  \n",
      "  inflating: cat_12_train/siKAzUrV9eykjlCQ0odZEhnW7FIgTuLm.jpg  \n",
      "  inflating: cat_12_train/siO2uHq3k7nSXBeoYZvTfgVpc1Fr8UbI.jpg  \n",
      "  inflating: cat_12_train/sIpKSUJd8EHxm7uB90cTkb452gonPYXa.jpg  \n",
      "  inflating: cat_12_train/siWg0nB3Xuakz1w89Fbdex5D4LUH7ZJo.jpg  \n",
      "  inflating: cat_12_train/sjbDZX8lWH231o9PCNUOIuF0eAMkz764.jpg  \n",
      "  inflating: cat_12_train/sjEDKCha3XUb5891BJVIlxFZ2H4mATGR.jpg  \n",
      "  inflating: cat_12_train/SJiBve3LrsHWqtpDV6n1C2lXPuYxRhUo.jpg  \n",
      "  inflating: cat_12_train/SJWdetbYu590KAjDZo3CPUQN8yhBz6Vv.jpg  \n",
      "  inflating: cat_12_train/SKoiaj8C3UGyvJQXh5zWwrxNmYkdEHqn.jpg  \n",
      "  inflating: cat_12_train/skp8fZBxEHL1CjyNXYMTQISl4DiFhUo7.jpg  \n",
      "  inflating: cat_12_train/Sku4ejYXgrtzOwaH6qVmLh7lJnDMNQK8.jpg  \n",
      "  inflating: cat_12_train/Sl0NdqepF9Jtb5jMQXrUixwIEOGfA2u1.jpg  \n",
      "  inflating: cat_12_train/SLJlEA3NwYWkvgQdn9Z7CRsU8DzVcy2M.jpg  \n",
      "  inflating: cat_12_train/SLJyPlt9fiCH27NqZAQ6gvXEe3haIKso.jpg  \n",
      "  inflating: cat_12_train/smQKJO1Mky0UR2a45nXZeGrY6o7CEhdq.jpg  \n",
      "  inflating: cat_12_train/Sn0YIRxgKW9k2DQj6GVFm1vZfENtBMhi.jpg  \n",
      "  inflating: cat_12_train/SoaxplRwsbCKMGfv17iPdz86yTnUZqVO.jpg  \n",
      "  inflating: cat_12_train/SOeX52aoQfkpBITANR6H1L0MtJdjvVzF.jpg  \n",
      "  inflating: cat_12_train/sOh4LHRuU8eXqE6vaCiTglGrAd19IJfB.jpg  \n",
      "  inflating: cat_12_train/sP0m8AhcUvBRHGyla2Eo65OrYkZNuTef.jpg  \n",
      "  inflating: cat_12_train/SP1cWiEOnNgh9TzvqVJLtxsGub8U2Yra.jpg  \n",
      "  inflating: cat_12_train/spNU7J8uk6BXiAyQErHegYMzjOaFR2qV.jpg  \n",
      "  inflating: cat_12_train/sqHozL2ZbUY6hRnOmpKw97085TxliQat.jpg  \n",
      "  inflating: cat_12_train/SQMY0Rarh7NxczUsC5Vpl6GwLAoZkFgb.jpg  \n",
      "  inflating: cat_12_train/SqyF8c0Rak1NedXpYvlI9TsVwzOhtGZJ.jpg  \n",
      "  inflating: cat_12_train/Sr8uPLXHTEKNJGQDIi0tgA2kBYbvCaUm.jpg  \n",
      "  inflating: cat_12_train/SrIBwcRsxdA42UCaLPQugpqOyi0jnl8M.jpg  \n",
      "  inflating: cat_12_train/SRo3ulYFaV6e8mqryhADHzEIjBTQfw4v.jpg  \n",
      "  inflating: cat_12_train/sruwWoHQ13K8ghtfxV5ySE9q2eOdbp4j.jpg  \n",
      "  inflating: cat_12_train/sTZvI1biB3WQ5YfDX8nKt70N94jyFzlG.jpg  \n",
      "  inflating: cat_12_train/SU0VNAJuz7ZXlKOIx9ocqtw3hYL4jr8s.jpg  \n",
      "  inflating: cat_12_train/su4e3ZdwzqoMfH2lDpNngJj61LVc0U8Y.jpg  \n",
      "  inflating: cat_12_train/Suh6VU49eQF7ytRA2f1nHIZbzWdToqP3.jpg  \n",
      "  inflating: cat_12_train/sv3RcZgEInHWtBoVKr9Q46PMUmA8Jy2h.jpg  \n",
      "  inflating: cat_12_train/sVNCLiHUxfqhZt14yErXlFkKAdYzImPj.jpg  \n",
      "  inflating: cat_12_train/sVputB7vUIDL1grqY2SXciH9oMJZkQhf.jpg  \n",
      "  inflating: cat_12_train/svSCn0Wuk2Zb64BPiNqXM13JgmhlA9Tt.jpg  \n",
      "  inflating: cat_12_train/swRKctS1zk9yL2FvrEVnbXIdoOW8YBPf.jpg  \n",
      "  inflating: cat_12_train/swVkC5dgmExoyQa2z86PrTDpeFZthYBK.jpg  \n",
      "  inflating: cat_12_train/sY0aqpH7jAW38cuK5woJBEOMzTiVfZ9G.jpg  \n",
      "  inflating: cat_12_train/SYHjTuskyDBJI4zVqCFRiOf9Gal20hKX.jpg  \n",
      "  inflating: cat_12_train/SyNLmqPecQdxhR7M6KfVojtbWi01C5Yu.jpg  \n",
      "  inflating: cat_12_train/szuaFb2pGkOYPxBHnc41RSr8NDog63y0.jpg  \n",
      "  inflating: cat_12_train/SZveFVRHUP4CfgK9Aq2xkslTtbzpErG5.jpg  \n",
      "  inflating: cat_12_train/SZYosxl4cHRWyT3h5JFqNjGdnIag6907.jpg  \n",
      "  inflating: cat_12_train/T0tDoACmcFSfWX35xj42G6gbkEw7OhJa.jpg  \n",
      "  inflating: cat_12_train/t1DnLxSZXwWTgeJsyE02lrjHfdM35po8.jpg  \n",
      "  inflating: cat_12_train/T32VAwkxCuKFeljBbDWvGfc1OPoN6Z5q.jpg  \n",
      "  inflating: cat_12_train/T3ljQyLxWE85CdhtoJiZKwmqPS741Rsv.jpg  \n",
      "  inflating: cat_12_train/T3qNQA20RgP8OBdYf4UiskzJDaLx1tyj.jpg  \n",
      "  inflating: cat_12_train/t42QgDk0Loe6RuzhHwC8Wp9GMUqAITfE.jpg  \n",
      "  inflating: cat_12_train/T4JiI9bSBZOkotm2KcexuUDGNh8Y3lrg.jpg  \n",
      "  inflating: cat_12_train/T4kcdzx8nK96ML3q2PFSBOjpIHmYXVby.jpg  \n",
      "  inflating: cat_12_train/t6xZhQkD2jWCOi1r3fK7T9slGHVbwgNd.jpg  \n",
      "  inflating: cat_12_train/t7djhOI3X2lPD61zLmvVZ4pewQ9NMECB.jpg  \n",
      "  inflating: cat_12_train/t80hZVYz34knbXG2S7fWPrjTeuBO6Qsw.jpg  \n",
      "  inflating: cat_12_train/T8enhtSKqZofAukjWCQVzgMUXD703GFJ.jpg  \n",
      "  inflating: cat_12_train/T8U4qszVgBCAJuSyeEZmlFdbhNKLr6Xw.jpg  \n",
      "  inflating: cat_12_train/T9eASb8nVj035I7u4KCZyJMmrLwsxHWa.jpg  \n",
      "  inflating: cat_12_train/T9M1KS4kofbArND3ZhlijtJGa6LWpB08.jpg  \n",
      "  inflating: cat_12_train/taAglHz0wsBbYIkcrdMi8JSFmO26XnZp.jpg  \n",
      "  inflating: cat_12_train/tAdqSefI0DohNuU6wgVyPca7Qz5lYTOH.jpg  \n",
      "  inflating: cat_12_train/taMkvzqHyrTIjw2lcQe4Fp36xAdBG8X7.jpg  \n",
      "  inflating: cat_12_train/tB3aJx8sicmjSvKnQDYqW74VHoXw1RMP.jpg  \n",
      "  inflating: cat_12_train/tc0epj9PR8SCyobgEns6TULYB7MwAXJh.jpg  \n",
      "  inflating: cat_12_train/tc4JjCZ8Oz1UbY6B0dVQlRrMoFIyPNn7.jpg  \n",
      "  inflating: cat_12_train/TC7lPaKiOQZcrv5pM8BomjebgNyUh1fV.jpg  \n",
      "  inflating: cat_12_train/tcHdFgjTn8hNfEoWZsUJ19PB7pxKA6ql.jpg  \n",
      "  inflating: cat_12_train/tcqbFLyZR9SNK3dWUXnsj24hPkCfvezV.jpg  \n",
      "  inflating: cat_12_train/TCWRQxDAPIkGgHXjNE1f2o7dvcKiYelq.jpg  \n",
      "  inflating: cat_12_train/TDOokGR21wx0La76d3AqegMyB48HmlZW.jpg  \n",
      "  inflating: cat_12_train/TdoX8l5bZ1PvsGwCxIkVcEL7YFz3jMnp.jpg  \n",
      "  inflating: cat_12_train/TE5uagZqMWmoChk2QOsNd1ryvSbfYJGP.jpg  \n",
      "  inflating: cat_12_train/teAfJaQ9X83PD4orFN6WdMmT7j1HnxYE.jpg  \n",
      "  inflating: cat_12_train/tf1V8N3JjuAwlTXOCdpIShr7gQBRHxoK.jpg  \n",
      "  inflating: cat_12_train/tFHBuAbU9Xcr3CPRqWfp2Zyvm7GxDLIw.jpg  \n",
      "  inflating: cat_12_train/tfNIHF9ajXPKUECr1s7zA4Vyhxpl8D5v.jpg  \n",
      "  inflating: cat_12_train/TftXmEnv9dSh86rFJLM3KIyHOBRcl5eq.jpg  \n",
      "  inflating: cat_12_train/tfxLRM4NV1mWKcl8bsXYQj57zwJyniF2.jpg  \n",
      "  inflating: cat_12_train/tGg3B6mrvbeHIxzPKdUTwqYSWka49sRf.jpg  \n",
      "  inflating: cat_12_train/tGJguBwOVH8QNjErhCXTWsi0dv7Ll2fM.jpg  \n",
      "  inflating: cat_12_train/TGZg1qRBzDtU3F5wvieIklQNuyX8pL02.jpg  \n",
      "  inflating: cat_12_train/tHCRcd6fVAzwxYOU9b5Q4qhgE30Nr2IW.jpg  \n",
      "  inflating: cat_12_train/tHEZX87ICnhJkQiSWbedVAqcDxNza3lj.jpg  \n",
      "  inflating: cat_12_train/ThYl4MXx1E7F9JrOzGqw2vVD8PBm3W0R.jpg  \n",
      "  inflating: cat_12_train/TiJ63Owfxev8nC4tdN9jlymWUQhIL1K2.jpg  \n",
      "  inflating: cat_12_train/TIMitu1oxDfRcQ6vlH73PA5yOzwFZYKC.jpg  \n",
      "  inflating: cat_12_train/TJ9hY1CLd267DmxabS38AOGgznlvs5rI.jpg  \n",
      "  inflating: cat_12_train/TjCdrp37LDn1fK8PQEoqvizgxltswUAM.jpg  \n",
      "  inflating: cat_12_train/TjtMrL2qwa6vXkEUC3g19xzsO8QNd0Gc.jpg  \n",
      "  inflating: cat_12_train/TJWZISmpkwOv3VADQ9KiYR4uhLPbGryg.jpg  \n",
      "  inflating: cat_12_train/TkQjUwLXMHGKliRrJmhCgu9YE8D75P1d.jpg  \n",
      "  inflating: cat_12_train/TLwG2MuesKC5rk37690aH4XhISEycVxY.jpg  \n",
      "  inflating: cat_12_train/TMoGS4VFC5xQt3pAzaPEXn0U86WcerNv.jpg  \n",
      "  inflating: cat_12_train/tn58Gmf6iO9Qdv34a7TlbxNAYRqVH1UL.jpg  \n",
      "  inflating: cat_12_train/tnclBOI2aT3pNRCrgUQshbPJ7fm6kGoS.jpg  \n",
      "  inflating: cat_12_train/tnTkMDzSU0Eo1dGc8bu4qN3sJgHFxZAe.jpg  \n",
      "  inflating: cat_12_train/tO6cKGH8uPEayzmeZJ51Fdr2Tx3fBYSn.jpg  \n",
      "  inflating: cat_12_train/TOR3lB6cA7jzKpGoHgV1wW0PefnMudmS.jpg  \n",
      "  inflating: cat_12_train/tPkKO4XdY5EUS1GAfzw37Zhv9lc2DaLq.jpg  \n",
      "  inflating: cat_12_train/tPoNOJyIdn6RUaMXC04rHwgpG1mxQSBf.jpg  \n",
      "  inflating: cat_12_train/TPvLV01NXnFKA3UWEqlyfz48oQijdcbt.jpg  \n",
      "  inflating: cat_12_train/TQJKiG5vAP6z4IEBYpyb0dkg8umrsRw1.jpg  \n",
      "  inflating: cat_12_train/tR8HG0sudJfE5QDFznomg4iYxI67eLhV.jpg  \n",
      "  inflating: cat_12_train/trmAw1VcGMPC2p4E3aRUgIlT5x9d7i8K.jpg  \n",
      "  inflating: cat_12_train/TsblAOrC9Gz2RiK8N7HgkWv0Xpewd15x.jpg  \n",
      "  inflating: cat_12_train/Ttr426EvlYZ7sWRbJmUHBjeS53cNC8FP.jpg  \n",
      "  inflating: cat_12_train/tu6T2qU5apADnX0ZmljkfxL7GYhKocbJ.jpg  \n",
      "  inflating: cat_12_train/tuaBgT34hzdFIsM6Qjq2wJVKGcDPxSnH.jpg  \n",
      "  inflating: cat_12_train/tuCoWFcdJE6hgPGA3awijXDTZns9b7K5.jpg  \n",
      "  inflating: cat_12_train/TUsw75zXSIg98CpBPMZ1mtxof3QHbRJO.jpg  \n",
      "  inflating: cat_12_train/Tv4fPYZ9gEHt1csqAaXRnwVSWlFpG5iM.jpg  \n",
      "  inflating: cat_12_train/tvLoIG6cSO3Mbz0iugNZpFDJq54dHjxm.jpg  \n",
      "  inflating: cat_12_train/tVRXDgKYl6fpE1NGrxnTz7I5SsyM3FAZ.jpg  \n",
      "  inflating: cat_12_train/tvWgSwN9m3BZ5qOXjK7LexVCIn6F4AHk.jpg  \n",
      "  inflating: cat_12_train/tWcMpXTe78zo2ikhbUOqPud6VJ5RfSEw.jpg  \n",
      "  inflating: cat_12_train/twJmVosEvIGg9BhkFUdYHxprz8yWcM2C.jpg  \n",
      "  inflating: cat_12_train/TwtPMIJxVjFodnGcDN7vslgbYpaRum2O.jpg  \n",
      "  inflating: cat_12_train/txbJ0DYciCPz6dSW3N82frVKEOamR9sH.jpg  \n",
      "  inflating: cat_12_train/TXBWaZOonMcGPxJDKh2ifV7Ykywpers4.jpg  \n",
      "  inflating: cat_12_train/TXS3FZkA9I1zOdVopeWvDEliJbxgUut7.jpg  \n",
      "  inflating: cat_12_train/tXVja0Lc9gNOlepGZDJuwWKIMs3hPyTi.jpg  \n",
      "  inflating: cat_12_train/TyBiz6dYPk1mxboL8203XRZ5EtUnhClD.jpg  \n",
      "  inflating: cat_12_train/tZ5aJqsk6gMhFlrGIveOREfCTd2b9HQ3.jpg  \n",
      "  inflating: cat_12_train/TzdONY6Egt1GUA5ZRbQ0qXoi4fBlnW9u.jpg  \n",
      "  inflating: cat_12_train/u0hbZW2srcw8EXqFeT9KYRI4Olajfv7B.jpg  \n",
      "  inflating: cat_12_train/u0Zcd84tyqxGnI3jM9YaKDQvmsflB7XW.jpg  \n",
      "  inflating: cat_12_train/u2QJ4qKzc0TLioskFvPb5lOAe73Ym9CZ.jpg  \n",
      "  inflating: cat_12_train/u2Qz843vLCrFENn5JYbMToXifKkpDWm6.jpg  \n",
      "  inflating: cat_12_train/U2SkzsEfq8XF7WH1IMubQLndpDtN5ywC.jpg  \n",
      "  inflating: cat_12_train/u2tQNb4p3wYkKBdU9rLci7HxAoRDyhnj.jpg  \n",
      "  inflating: cat_12_train/U3n1QiMAwOdL8ft5rsWSp4hCokK6YIjy.jpg  \n",
      "  inflating: cat_12_train/U4HYlbwvLE7JBM3QIztadsSPxCRmu15A.jpg  \n",
      "  inflating: cat_12_train/u5AflLJEmiTCSUwqI1vaygM4jnek7VND.jpg  \n",
      "  inflating: cat_12_train/u5b41oaWqArmDER0vBNMjXSgOixG6tUz.jpg  \n",
      "  inflating: cat_12_train/U5ET7HmQiv1n60XjwRsf9INhFMy3tqou.jpg  \n",
      "  inflating: cat_12_train/u6IG8ZYbJVceqQ5gmNliWpP1TE4HKRdx.jpg  \n",
      "  inflating: cat_12_train/U7Lc0QT6YyJBuFt3qNR5ACPZVa1Dx8sk.jpg  \n",
      "  inflating: cat_12_train/U80AFYqLz5E9okJhCwf7PaGi3XVunmdl.jpg  \n",
      "  inflating: cat_12_train/u9qGhf3P5XTYgNDW2KeryCUsBAzbV4HS.jpg  \n",
      "  inflating: cat_12_train/u9RFI6LdD7xi8YrKTtfNBE2qX0ZUsheg.jpg  \n",
      "  inflating: cat_12_train/UB31fksmXN6GaShCOJjFHbD5LYE79i0I.jpg  \n",
      "  inflating: cat_12_train/UBMeHthZYQ0ouFVxPJDWIaC9qzj1miLN.jpg  \n",
      "  inflating: cat_12_train/uBQFoLYdmrIsPEAl0yDGNza3ShWHM9p5.jpg  \n",
      "  inflating: cat_12_train/ubV0apn5PfGCAeMkxFZvWzYlQJS7jL2K.jpg  \n",
      "  inflating: cat_12_train/ucnxLPfUDwvh4Qqd1ekBJK6FOotsHIS5.jpg  \n",
      "  inflating: cat_12_train/uE8ahjzSPmyMoiKQ6FXfVL34pZ9YkUnN.jpg  \n",
      "  inflating: cat_12_train/UeByI0R5C39TtacEQh1mYvxVdqFjgOKr.jpg  \n",
      "  inflating: cat_12_train/UekwvX6DyuzfxolFmEcCQ3LsHKMi1BGd.jpg  \n",
      "  inflating: cat_12_train/UEYMyR8ZBXofutaJk64gsGc0vCSnQmbH.jpg  \n",
      "  inflating: cat_12_train/uFI6xrVYZSdz5Ey4bqW8NTBwPsHLMpfK.jpg  \n",
      "  inflating: cat_12_train/UH3ioEL2n6u5s7Ithe9KgXBkQNxm4Pc1.jpg  \n",
      "  inflating: cat_12_train/uHFo6skP25DUhYmaM0KtgfdqIvE7wX8e.jpg  \n",
      "  inflating: cat_12_train/uHUBPqn74FiAk9yIG1m80a6rbYcsehZ3.jpg  \n",
      "  inflating: cat_12_train/UI946b5ptP0xTnowHXgrhacKfJFSkjeV.jpg  \n",
      "  inflating: cat_12_train/UiCDa1wSyzIHd54vGWqONMrpfoZ0l6LF.jpg  \n",
      "  inflating: cat_12_train/uIg7BLxEwhnQ60dfaby4OAsZlCSN3zFT.jpg  \n",
      "  inflating: cat_12_train/uIVSvymBkHPhOnUblDxea5r23J8toZFz.jpg  \n",
      "  inflating: cat_12_train/uJ42fLKhq7k31PzIZpUtSvYrlwaH9WNG.jpg  \n",
      "  inflating: cat_12_train/uJTIAqCnRLo0KVfHic9xh8G6DYwQUMdv.jpg  \n",
      "  inflating: cat_12_train/Uk8HNPloSp2XL95fFsYCdWZjaAqeQEti.jpg  \n",
      "  inflating: cat_12_train/uklg2DrLwtj8nA45eGbhivoQBcJNXyfY.jpg  \n",
      "  inflating: cat_12_train/ULcXQ96WMxsHImdyqboA84RpgeYCD5wK.jpg  \n",
      "  inflating: cat_12_train/ulFBEZNRQrxn57voHAJ4UG6Mct2sw1Cj.jpg  \n",
      "  inflating: cat_12_train/ulztjkaGV6wrehLXRSBoAE8Q9d273TJH.jpg  \n",
      "  inflating: cat_12_train/uM6LjwVT2z9YvWigJZcPbmQFXpxeGSIs.jpg  \n",
      "  inflating: cat_12_train/um6paIgUwMceo10S8FBCTdbOjvXHkVf9.jpg  \n",
      "  inflating: cat_12_train/uNCprcPBeRqAG8LkE0jznlvXYam1f6s7.jpg  \n",
      "  inflating: cat_12_train/UO8czpdiVMBFZoq1r9kyah4fRAbKwSeE.jpg  \n",
      "  inflating: cat_12_train/UOJYQFI5aML0zK4DpPloZRydvmBV1WjC.jpg  \n",
      "  inflating: cat_12_train/uqysFH60Dki2JdwhloGL85meE4K7NVI9.jpg  \n",
      "  inflating: cat_12_train/URhDfIyqC1SsrZ3K47w5OGuneMj0Elbv.jpg  \n",
      "  inflating: cat_12_train/Usfd9beLKCxcEhA3SvoYqptz0VBRQ781.jpg  \n",
      "  inflating: cat_12_train/utRfmBPiSq5LbdZJVz14XUrgxlA9QkCc.jpg  \n",
      "  inflating: cat_12_train/uTXvdzgL2ZiYyDFaB6fR5s9b0pE3178j.jpg  \n",
      "  inflating: cat_12_train/uUpo1XTE8tGO9dL3MKzmyaW2F5kc7xJh.jpg  \n",
      "  inflating: cat_12_train/UuvnyJdSBTgqoEMY1POIAL0KQDa2zFX5.jpg  \n",
      "  inflating: cat_12_train/uViWDgIRhtqBkX9FS264QjpKwHPoaLEZ.jpg  \n",
      "  inflating: cat_12_train/UVX8P1DtilvHd3ZOk0g7Je6wEoAQKSFn.jpg  \n",
      "  inflating: cat_12_train/uXkET9LZI1vgdJBlO2tG0CrFqsY473jb.jpg  \n",
      "  inflating: cat_12_train/uxqT3jKPGRvWgmaZrp7It14yzJn9w6ME.jpg  \n",
      "  inflating: cat_12_train/UxyfbQ4GK3JP0BFp8aslrVjSnNXzWu2v.jpg  \n",
      "  inflating: cat_12_train/uybHPkgBtpoxnif8OGZ51mIrLac0AUJ4.jpg  \n",
      "  inflating: cat_12_train/uyNDxZLst9BRkzpJ4ceTIvfhEG0OW2Hn.jpg  \n",
      "  inflating: cat_12_train/uYXex4LKzBnr2EihPbDqUvyjZwkVp69Q.jpg  \n",
      "  inflating: cat_12_train/uZ0fCinhP9KqSLz1lgRTk67Va8oUwdbm.jpg  \n",
      "  inflating: cat_12_train/UZhO4nLeKoPdcQRslqzW0V6F92AMIXb7.jpg  \n",
      "  inflating: cat_12_train/V1pniZLxJEwCe5FG2UlSjuMm7rtvgNfX.jpg  \n",
      "  inflating: cat_12_train/v2KtWH9Nns7ElUdJY4oSfab1uzIwk8Oi.jpg  \n",
      "  inflating: cat_12_train/v2oUr4uE8d1yAGINYXmhz3PBMfi5CqSO.jpg  \n",
      "  inflating: cat_12_train/V2wgm7W4pDnYRdN6XvSGAz0EPBTerlIJ.jpg  \n",
      "  inflating: cat_12_train/v2zbAn3RlIJ0Vh8SLefia5ytHGQwKYps.jpg  \n",
      "  inflating: cat_12_train/V4MrLdIm6hFkH9lNDbR5sAPToczJqW8E.jpg  \n",
      "  inflating: cat_12_train/V4rdhc0iqJU5Kszm371Wtfaj9o2NLTGv.jpg  \n",
      "  inflating: cat_12_train/v5Mk8m07PXl2uNVcsO4BydioAT3RaGYw.jpg  \n",
      "  inflating: cat_12_train/V7CLPIYvO54sU8cZugqkW6nzDBTGdmAE.jpg  \n",
      "  inflating: cat_12_train/V7fpduyX8eH9UZOM0CQmrgDNs3Exac5Y.jpg  \n",
      "  inflating: cat_12_train/v7sEmBSKQjXoA8zDptadP3e2GMVbJWT0.jpg  \n",
      "  inflating: cat_12_train/v7yxDAtHjK5wTNz2YdumOilhISCZr6WL.jpg  \n",
      "  inflating: cat_12_train/VaIbsP7k1WjrJ8hOqZtHTGRQYl2vDMuF.jpg  \n",
      "  inflating: cat_12_train/vbP0GmXJe952kBENizjcnsUhwaTxpL8K.jpg  \n",
      "  inflating: cat_12_train/VbTNIKLiuP04fdnG8B6YlzU3aFrROCcq.jpg  \n",
      "  inflating: cat_12_train/VC2ROgo0E9sktzTMwN1nLA7ybHlDKhpU.jpg  \n",
      "  inflating: cat_12_train/vCRGiPT7YrmMfI4Dx3W6jUy8h5gepzN2.jpg  \n",
      "  inflating: cat_12_train/vdktYjGNBcoMOK8qRPiwsxul5IWXe0J7.jpg  \n",
      "  inflating: cat_12_train/veCoGqdIVNSWfRkZDtXw2xP7bz50pAFQ.jpg  \n",
      "  inflating: cat_12_train/vEUfWGemFKTNykxM0pwVa93dnBuAjPCr.jpg  \n",
      "  inflating: cat_12_train/VFW0Of5wKAsRNPpXjz4HraSmdJy8ZtMn.jpg  \n",
      "  inflating: cat_12_train/VGDCzQo5xcekrByWRXIUgNA94mFS1fKT.jpg  \n",
      "  inflating: cat_12_train/vgOmSd9aZXP0qn5kEcJpxwIQ7sB1eW8U.jpg  \n",
      "  inflating: cat_12_train/vHqoit8yAkGCF19dBSIwxV7uWhME52Uz.jpg  \n",
      "  inflating: cat_12_train/vHsVRxKnlhqyJYQL0FOgPiXDWt89kC5I.jpg  \n",
      "  inflating: cat_12_train/VHukQ8AwzPv5N0F79KG4oCdUZlcI6qsJ.jpg  \n",
      "  inflating: cat_12_train/VIiBEX8AqstbRvNoznuHwW37ZySFGe5a.jpg  \n",
      "  inflating: cat_12_train/VIjCQPAniuKk06Jh9gBXlf4TOeDp2cEo.jpg  \n",
      "  inflating: cat_12_train/ViOhPG0njz5I1vlKQZ7gtWpMRL9NCfcw.jpg  \n",
      "  inflating: cat_12_train/ViTDzRsQc2tnXxEBpASMobeZHm9akf1g.jpg  \n",
      "  inflating: cat_12_train/VJoHhQuvgBY5abepl7fiO63PxSKFy1nZ.jpg  \n",
      "  inflating: cat_12_train/vjRwxTg6lO3AKYLV5rkMGpbtfNhB8aUW.jpg  \n",
      "  inflating: cat_12_train/vJVFDyHiArIZu4tMn6fp7TCOmjL3khoY.jpg  \n",
      "  inflating: cat_12_train/vJVWuPf1OTQLbcn5CzX7ZodteS4imsrj.jpg  \n",
      "  inflating: cat_12_train/VJxj6S5qgYPvF1mKZsAHpy7R4bBLzDT3.jpg  \n",
      "  inflating: cat_12_train/vL6HX74dtqKPMfcIxZwmlbjzGFJRhUai.jpg  \n",
      "  inflating: cat_12_train/VlgHujJUqd6E0NLoGPAem5S2CYRD8kcf.jpg  \n",
      "  inflating: cat_12_train/vlkCms9AoFQpOJIyfxEtM0U43RSBHbhG.jpg  \n",
      "  inflating: cat_12_train/VlUagGb4To0R2mMwWeJnv9FC6p5rcxIK.jpg  \n",
      "  inflating: cat_12_train/vm8uV2isXnoBMKyNO97EcCalTWzRdhYP.jpg  \n",
      "  inflating: cat_12_train/VMcUdzIQEsb72qNY8DvA63yjwlrgh1Ga.jpg  \n",
      "  inflating: cat_12_train/VmDoMx3cjAak1qgBP2dLKRF4eHYNJhfQ.jpg  \n",
      "  inflating: cat_12_train/vN1kubMOTrUj5RaAZWpSiF2tqIl40gw3.jpg  \n",
      "  inflating: cat_12_train/VnvBlgYcP8SdiLwa91JbTQ2oxkW3fstj.jpg  \n",
      "  inflating: cat_12_train/Vo3rOuhXDAJbUKpYTzc6a2w1RSBiqjk5.jpg  \n",
      "  inflating: cat_12_train/VOhagD0AXBK5x4I7vpWNLU93PYRMowZE.jpg  \n",
      "  inflating: cat_12_train/VPtaONfJDCe2FETlySKULo7h3um9Mp1z.jpg  \n",
      "  inflating: cat_12_train/Vq3l4gw60dmTyYOEU5cHKn7LFPIeuMJX.jpg  \n",
      "  inflating: cat_12_train/vqBwZ50EaMIbFi3KkATPc7yJ1QjUHRXN.jpg  \n",
      "  inflating: cat_12_train/VqpJ2i4Gje8RQNSy7tF0aKoBrACx5cZE.jpg  \n",
      "  inflating: cat_12_train/VqrSCXjW3zNK8klwR1a57hvmFogb4sOB.jpg  \n",
      "  inflating: cat_12_train/VqtNhwRr1KlecfazoQ9CnvjByZOW8AIJ.jpg  \n",
      "  inflating: cat_12_train/VrQ1cdv02YfzIaJDW4eAk6wGitg9hHlT.jpg  \n",
      "  inflating: cat_12_train/vRZ4eFaj5SyCGzoVAkPB0cq6YH7sKfiM.jpg  \n",
      "  inflating: cat_12_train/vSOVzgH7nRAfPZTEb3rJeIFdyj5wUsLk.jpg  \n",
      "  inflating: cat_12_train/VtHPXKqLfiFISETkoz7WNY5Ue9bM4Zrs.jpg  \n",
      "  inflating: cat_12_train/vUA9oKu3rqgtksdif2RGlcbLhXDPJ0xN.jpg  \n",
      "  inflating: cat_12_train/VubUMxF4wkePQsB1lYjdIET96OWSZAr7.jpg  \n",
      "  inflating: cat_12_train/VUvA38k4BigX9ES0PKwxTj5orq1nycb7.jpg  \n",
      "  inflating: cat_12_train/vVsR9ec0nW1uEpM3lGUZSdKrt2g74xJF.jpg  \n",
      "  inflating: cat_12_train/vwtKgPq7lR0a5CjiT6k2zor8ey3cxQEN.jpg  \n",
      "  inflating: cat_12_train/VWy4zFEbv5A0uShtrZNjCesTokwHlRqG.jpg  \n",
      "  inflating: cat_12_train/VxDR1AGJOtEec0USK3Bmfvgn45hHa8uT.jpg  \n",
      "  inflating: cat_12_train/VYAvsRJWpT3jgZE9fXuldnMbO2PrSKh4.jpg  \n",
      "  inflating: cat_12_train/VyCuAJTKFXovgxL3D8ks5Er0GeWUqwbd.jpg  \n",
      "  inflating: cat_12_train/vYW4MEybNjHBpGJgheF5sPqX91crntuS.jpg  \n",
      "  inflating: cat_12_train/Vzcw0XjPofEAL65rCUugY8pq1xmndhFZ.jpg  \n",
      "  inflating: cat_12_train/vzMI1W3hPkH8gT7KOfEpwaylRYZFbBmn.jpg  \n",
      "  inflating: cat_12_train/W0gEDIpPXxtFR4Mf1Li87VUoNzAqlT3K.jpg  \n",
      "  inflating: cat_12_train/w1NO9mvajRkJLCqi2BY5hAPp0DVXKMzS.jpg  \n",
      "  inflating: cat_12_train/W21ubwAJvCzNVGHam4Ie37g6liESQ8ho.jpg  \n",
      "  inflating: cat_12_train/w2JSmt5AkBNcd4vFnhsYQxWjgRayq8e3.jpg  \n",
      "  inflating: cat_12_train/w4BONzRZsJnvk2T6DxXeLyVbYa3o90cu.jpg  \n",
      "  inflating: cat_12_train/w4feIho3l9HPaUWRtMXjFOcsTgYGuJvD.jpg  \n",
      "  inflating: cat_12_train/w6dYaEXgctOmbfIi38xeWvJCnhP5V7SL.jpg  \n",
      "  inflating: cat_12_train/W70qD3MpEyzHBOdFnIZcxaUvmCRiT9tG.jpg  \n",
      "  inflating: cat_12_train/W7o8nBPlRx2Sg90zCk5bQ3XmqDaNLMJf.jpg  \n",
      "  inflating: cat_12_train/W847tS9OmPoydv0Z1xukAwEsqYDU5Kzc.jpg  \n",
      "  inflating: cat_12_train/W8NmCF57qafgPK1pOY043oQs2utjTyAZ.jpg  \n",
      "  inflating: cat_12_train/w9ZR547VWXb0jO1kigvnHAPp3GdBcmLu.jpg  \n",
      "  inflating: cat_12_train/WAJCoOhsurBpV470xaG6HtEm2jIYbvzK.jpg  \n",
      "  inflating: cat_12_train/waN8cXgdY5uf3RkvMsGpA4WjPTiJLIBt.jpg  \n",
      "  inflating: cat_12_train/WB3NUF0STgLoXi7JPq59wHj6EmclzGbr.jpg  \n",
      "  inflating: cat_12_train/WblYXuC9wpi3Nh8evId7Ss2BPKFLjHTz.jpg  \n",
      "  inflating: cat_12_train/wbpg9ecTjt1JZm2loRS6xVLidBNv4fDE.jpg  \n",
      "  inflating: cat_12_train/wc9Q82uyablVtAnEoidZ3qWOkNrLMs4U.jpg  \n",
      "  inflating: cat_12_train/wCsnUHgpZohPvAuFExLfGQTl5Yqj98Je.jpg  \n",
      "  inflating: cat_12_train/WD60aUKcoPIkSNVOpy8AMY2vjis3qRXh.jpg  \n",
      "  inflating: cat_12_train/wdBo7Qe1NTHuAn3t46iZDR0pvIl5yOVk.jpg  \n",
      "  inflating: cat_12_train/wdBPFf3tbl4Xmgzrh6kaTHAVL2qpM8KO.jpg  \n",
      "  inflating: cat_12_train/We1pO9nikFcGhSAYdNuMmPt5bKDL2Uz7.jpg  \n",
      "  inflating: cat_12_train/we2afIQUj341zWk6d79hbXCcJPgxtY5G.jpg  \n",
      "  inflating: cat_12_train/WehK8Q2FUmqgx50NCVSusGyltnobjz9a.jpg  \n",
      "  inflating: cat_12_train/weofVSnlhDGAyUKuIvYj09t8PZ4LRxJB.jpg  \n",
      "  inflating: cat_12_train/Wf3ElADeoxgqP9XhHbsFKkImQ7vtnp5U.jpg  \n",
      "  inflating: cat_12_train/wF3N85BhAjQCxSgpqedm9T1Oi0K6ouvL.jpg  \n",
      "  inflating: cat_12_train/WfJXzGL6U7gsM352CkvlmIEaOxe91RVD.jpg  \n",
      "  inflating: cat_12_train/WFuGLcTsI5aQYOnE9ibktP6Mgp1yhXeU.jpg  \n",
      "  inflating: cat_12_train/WFZGwCDs5B2gEchSaer1kNVM64jfxuLR.jpg  \n",
      "  inflating: cat_12_train/wG4g9Sm8nr5f1ljQMkOcALXFq2eiC0Vs.jpg  \n",
      "  inflating: cat_12_train/wG56Ml9xNTSF43AidP1sOmJgob8hqeuK.jpg  \n",
      "  inflating: cat_12_train/wHQSLUdcEKrBZMo5q7YyO3XFanhxvR6P.jpg  \n",
      "  inflating: cat_12_train/WK0UPzF4EYGA8k6MqDSTy9fXBOICw7Zi.jpg  \n",
      "  inflating: cat_12_train/wK5v0JqdHITQ2Ce6718MfS9DOEUxFgrB.jpg  \n",
      "  inflating: cat_12_train/WkcyNHf1wFiYsO0B9b7pGmqTQUh6xRvn.jpg  \n",
      "  inflating: cat_12_train/wkIDGPLzgE8CFBpHyV3TYu4OKahn2WUc.jpg  \n",
      "  inflating: cat_12_train/wl73nte9WhHEiBRZLVoMFfmgXSGdxpr0.jpg  \n",
      "  inflating: cat_12_train/wlGbk8h0HZQIJPyn62pDCSRzEBN1ruxa.jpg  \n",
      "  inflating: cat_12_train/wm1ehnYyoBvQ80WRjZEfzJUcrCOAiaLM.jpg  \n",
      "  inflating: cat_12_train/wmF9K4ZOqaznV1RDNBx65dYyT3hlJrP0.jpg  \n",
      "  inflating: cat_12_train/wMGULonpE8K1bNXD6VTCFzlS47syfdvr.jpg  \n",
      "  inflating: cat_12_train/wmMLIJaVbXfAC4iED2530HNor8P69FYh.jpg  \n",
      "  inflating: cat_12_train/Wmnoc7aHyeR5gkBN8VxIsXbldOKpES4L.jpg  \n",
      "  inflating: cat_12_train/wmWvIxKh8jV6U3LfanPoQN1t5EJYCpiG.jpg  \n",
      "  inflating: cat_12_train/wNEYpmFMsvJSqG8QTKogitLykXDRn1WH.jpg  \n",
      "  inflating: cat_12_train/WnlpPE3XiAL2DRJcf6SdmFhtBOjgZ4CV.jpg  \n",
      "  inflating: cat_12_train/womlrnb8REMaLxJ3q59j0pzTNFIDV7PQ.jpg  \n",
      "  inflating: cat_12_train/WORaDysJBKwiYtQ0M8TugcfjE6PAmnzZ.jpg  \n",
      "  inflating: cat_12_train/WoTclgFAIRvyLqsUanmdP7XG6wJ2fQYh.jpg  \n",
      "  inflating: cat_12_train/wPkMW8fq7slvuF9QmLHE3XYVhb6gKoUG.jpg  \n",
      "  inflating: cat_12_train/wpKnLmHiafCgFbjrOVYEQhSoXvlTUe1P.jpg  \n",
      "  inflating: cat_12_train/WpqOcXBaCE2hDjzyLveP98f0Mt5Klr6b.jpg  \n",
      "  inflating: cat_12_train/wpuGnSlh15sBHMza9ArPUjDgcvqti2Wx.jpg  \n",
      "  inflating: cat_12_train/wqC2M7XUk6J3H9dI8SbPmcjW1NArltso.jpg  \n",
      "  inflating: cat_12_train/WqKOAFkbaS6n0VB4uzgIpR5xdP3ch1wj.jpg  \n",
      "  inflating: cat_12_train/WqlUOMohF8sR3L4XjkbT5CSimuD2dg6r.jpg  \n",
      "  inflating: cat_12_train/WQvaecz09K6wXupEhdb4CD1F3osNV5nx.jpg  \n",
      "  inflating: cat_12_train/WqwpJuP4ncB1CGLYON98dlAVSghyHUrm.jpg  \n",
      "  inflating: cat_12_train/wRD5OZJeFb60Vo2KL1izIEsvPmcgNWf9.jpg  \n",
      "  inflating: cat_12_train/wrQjdJ8qO9HyN2kMLDVoT6CI4KlASEeX.jpg  \n",
      "  inflating: cat_12_train/wSId1rG7VoNCaK9mx2e5BRvnXqJtjEpf.jpg  \n",
      "  inflating: cat_12_train/WsU0eYqcry7KRHbmD29k6vBTIMGCVhdz.jpg  \n",
      "  inflating: cat_12_train/wsYq2rj4RaTcthEOZdBfmeQgxWJyFpSV.jpg  \n",
      "  inflating: cat_12_train/WToer0FYiAc5I2386laVM1dqs4zCHkbN.jpg  \n",
      "  inflating: cat_12_train/WTyUEMXk1zIvAeS0BFN25ZnR9bD48mji.jpg  \n",
      "  inflating: cat_12_train/wUaC8DuNlp0hG9FP5bfWRQJBg7kS4yjE.jpg  \n",
      "  inflating: cat_12_train/WvJ0ypHMYGbdNUqV5c38BXDhk9mzElC7.jpg  \n",
      "  inflating: cat_12_train/WvQbTrI0uXstHAB2Jgd3Z6o8w7qG1ReE.jpg  \n",
      "  inflating: cat_12_train/wW5IXy6u7Aafn218mVQSkdNBJzKxFD3E.jpg  \n",
      "  inflating: cat_12_train/wWfMFCQjyvSiH8xR0bc4uNZO75BJnk3L.jpg  \n",
      "  inflating: cat_12_train/WwnoDaVeh9SuXpURAPB1K2ILMkFNGEYq.jpg  \n",
      "  inflating: cat_12_train/wYCjHT3KvSmpA7gGZy4D2sMrPck9Qonb.jpg  \n",
      "  inflating: cat_12_train/wyn78BoqR9mlXN4IxZWfGrdkjTF35gJD.jpg  \n",
      "  inflating: cat_12_train/x0MKh2UJkoIz7mf4agb1DAyOvQBVlEcw.jpg  \n",
      "  inflating: cat_12_train/X1nhD7VrqoKGLjcdJyOEwB8gMC3N4YUH.jpg  \n",
      "  inflating: cat_12_train/X1QW8IuDe26PBTvV7csqEOkjmFM0ift4.jpg  \n",
      "  inflating: cat_12_train/x2mXkTAtehyI9LPEBMCnQHic0zqbsKuZ.jpg  \n",
      "  inflating: cat_12_train/x59NfGH7IwBQCgu2hblED6MiRF4mOtdU.jpg  \n",
      "  inflating: cat_12_train/X5CUehHxfAcaNjBVg4KpiZ7FR9LvyTb8.jpg  \n",
      "  inflating: cat_12_train/x5TnZwQice3C1E8YvlDR9pHsb4yojGPr.jpg  \n",
      "  inflating: cat_12_train/X5v3MI0OSfVUHNzy4lpB2ud8GobQZTgJ.jpg  \n",
      "  inflating: cat_12_train/x6s0gcVIWP2KHkqCel3tizjGD798ORdf.jpg  \n",
      "  inflating: cat_12_train/X8HyFARlEdOos9BSr1JajVe6zim47fUh.jpg  \n",
      "  inflating: cat_12_train/X8y4iQqH69d3wcYJOBDE5FPfSlsun7gC.jpg  \n",
      "  inflating: cat_12_train/x9eXHpgIohKYcMiB2jL8uJaPSfbq4vwT.jpg  \n",
      "  inflating: cat_12_train/X9KPZCMik7yb4eBSuO3QjnH8w6qhYxo2.jpg  \n",
      "  inflating: cat_12_train/xAfhdUB8mnCHQg19yv4EuSG73MVLpoDX.jpg  \n",
      "  inflating: cat_12_train/xAjJEqTtzZlQhp5NFvSW2y48H3kPBKXI.jpg  \n",
      "  inflating: cat_12_train/XaTp7mcUrGQB3MSshxbCqF698vDkzN4A.jpg  \n",
      "  inflating: cat_12_train/Xav7F4Ljd8IesqHgt632KlPUMpGr1iB0.jpg  \n",
      "  inflating: cat_12_train/xb2W1ZaMz5VncOhy48lSB0JkmLpT7gHe.jpg  \n",
      "  inflating: cat_12_train/XdR03i8o2QyluVqwxvL7FgfCeAEDOGIT.jpg  \n",
      "  inflating: cat_12_train/XE0VfGF8dleKvSaugIJOzm6n7qtMAYRB.jpg  \n",
      "  inflating: cat_12_train/Xf3W1FzxA9UhZbkJp2Hg6iQaEl8djrqP.jpg  \n",
      "  inflating: cat_12_train/xfKaCzcbJ5MWFZeGiH3UOIt9o6jBRThn.jpg  \n",
      "  inflating: cat_12_train/Xfo6e5LxrDwVG09inahMBuK7Ek83ISNO.jpg  \n",
      "  inflating: cat_12_train/XFU65GzabfABlvC8d0omRWQkZxqhjuLc.jpg  \n",
      "  inflating: cat_12_train/XGFj7dQZaCEJvui2YenbkfBOtsDR0SpL.jpg  \n",
      "  inflating: cat_12_train/XgG2nIjEOVsup4HUdLF6tBbCalx8Yyv0.jpg  \n",
      "  inflating: cat_12_train/xgofdDhPHzXCQuqv7RejylObknTI0raU.jpg  \n",
      "  inflating: cat_12_train/xhaTwLKAZ65icmXvGlz1UQ9MqbRCnt2N.jpg  \n",
      "  inflating: cat_12_train/xhdbKpws5mcVj0n32WvtfUSqau1GoriO.jpg  \n",
      "  inflating: cat_12_train/XHMuIamic0KJh5Q28CBvq4jLRpWlUNyZ.jpg  \n",
      "  inflating: cat_12_train/XI0qGQgJK1B2oSYVxd4PnrzbcH8Dmfkh.jpg  \n",
      "  inflating: cat_12_train/XIEBr4NTPyklAhWuLpjC1Gsz950ZM6Vf.jpg  \n",
      "  inflating: cat_12_train/XiFWZc2AVYQtPdq7bSyuHeT9gfmREjNo.jpg  \n",
      "  inflating: cat_12_train/xJTP7NWkI2wZaA8nhG0s4jiqXz6g1rVO.jpg  \n",
      "  inflating: cat_12_train/xL2iZtyujnE8QINProO5WMX49DkFVbKR.jpg  \n",
      "  inflating: cat_12_train/xlOcnaEWBNvwC15Zi8hLQY4KukMA2bXt.jpg  \n",
      "  inflating: cat_12_train/Xm578F4wLpUdsTQb9InYgGkAB3PzjWZr.jpg  \n",
      "  inflating: cat_12_train/xMJvpDNERteg3HsGwQznhA1TPLY8UCrk.jpg  \n",
      "  inflating: cat_12_train/XmkphWL2HFfJnNYG3oCbzeA4v9sUMaIj.jpg  \n",
      "  inflating: cat_12_train/xMOHlb8EAqu3RcYIZ4sC7ajvmyPVrp9N.jpg  \n",
      "  inflating: cat_12_train/XnaLsC70b4YvkThSEfPI5WH9mg2upOti.jpg  \n",
      "  inflating: cat_12_train/XNpTmkBD0c3trajK2n1G98voflULd75s.jpg  \n",
      "  inflating: cat_12_train/XoWhw7A2SDPeFmzrJfYvk4yILuRETiOd.jpg  \n",
      "  inflating: cat_12_train/XoYKPlyVn8HjE76mSZ4s1hNtGIx2J9v0.jpg  \n",
      "  inflating: cat_12_train/xPITEv4h0j2d5pz39DYJB7brciym6NqR.jpg  \n",
      "  inflating: cat_12_train/xprAGoYkOm13VKXaWcunE8wNiUsSLy2b.jpg  \n",
      "  inflating: cat_12_train/xqX8vwGdHkolSrcs7Ve2CaIQTgnFjZJB.jpg  \n",
      "  inflating: cat_12_train/Xrd4HmivSZlDCygUIjnh6WO3NxRszqYA.jpg  \n",
      "  inflating: cat_12_train/xro4CFLkhE5M9UpaT3Vd1W7i6NJwuKBm.jpg  \n",
      "  inflating: cat_12_train/XS6vOGe0UqTEbtjym4aik783snhoDKWw.jpg  \n",
      "  inflating: cat_12_train/xSXa8dU7Aq0j6IHfrwKsb32nlJBPWkZC.jpg  \n",
      "  inflating: cat_12_train/xtvX5wi8pRC0ZhsloTmjgzEaYJLGnUdW.jpg  \n",
      "  inflating: cat_12_train/XukIEhatJMYwizHNW7ZgpFU3vBj4LsyT.jpg  \n",
      "  inflating: cat_12_train/XUS8ZJCMDGgF0liHezp4LoTbIWr157yf.jpg  \n",
      "  inflating: cat_12_train/xvChYpf1sPLKrEGwQAlBO8340Fy7DVoj.jpg  \n",
      "  inflating: cat_12_train/xvMEdpWLSQ1BR83IFuasJrmioChgjy4U.jpg  \n",
      "  inflating: cat_12_train/xWdfk4nmSTvgBjHC3Nb5pGYVsEli0XwU.jpg  \n",
      "  inflating: cat_12_train/XwYyhMEsF3bSgfHAr27jtiCIqaWeQOG9.jpg  \n",
      "  inflating: cat_12_train/xyL4lH16NuJD5RTjXEcgaotqUzSI3Ksd.jpg  \n",
      "  inflating: cat_12_train/Xz1n46M9T5gRZKdSv20BJhUqWON3ystr.jpg  \n",
      "  inflating: cat_12_train/XZfJupWgoGMxUHIrP9F0zN7YcqKRLCQe.jpg  \n",
      "  inflating: cat_12_train/xZgvrbQHli8tGu6FEM5JTLNSn1YoCzey.jpg  \n",
      "  inflating: cat_12_train/xZizCISKeyMHXjda596b2smEWugtFLOw.jpg  \n",
      "  inflating: cat_12_train/XzLeWcADPZysR9g0UbohKdTFqOwCH48I.jpg  \n",
      "  inflating: cat_12_train/XzMouYBrIk1bD6WHt8yZJOfplmUaLvgF.jpg  \n",
      "  inflating: cat_12_train/xZsPk7bfThmRwUv0zOEHS1YqcJNXB5r8.jpg  \n",
      "  inflating: cat_12_train/XzT7QsAmwckaJf8byRtBLgVC5eHMG42x.jpg  \n",
      "  inflating: cat_12_train/y1pSUv0i9l8JHuIrnbLmVZeTPC3qXsG4.jpg  \n",
      "  inflating: cat_12_train/Y2XM56AuJgsUdkcV7NtihflPm3eW0BD8.jpg  \n",
      "  inflating: cat_12_train/Y3A2WfiBxESUdzagpuM9IGs1hQjoCtyK.jpg  \n",
      "  inflating: cat_12_train/y3mUjO4ZpcelxF9Y50kD1Trg7BCoERIK.jpg  \n",
      "  inflating: cat_12_train/y4BTJFRkbxX5EL0fgi6de3NsPZrmn7DS.jpg  \n",
      "  inflating: cat_12_train/Y4Tx1UKQRM32b5wanstyikeNm6H9uDvA.jpg  \n",
      "  inflating: cat_12_train/y6NYbgEAXzFD8viwpQkdHKhUIoPWJl9S.jpg  \n",
      "  inflating: cat_12_train/y6ZewPL1uoVslBHEzRTSMm0Y3QkJh5qd.jpg  \n",
      "  inflating: cat_12_train/Y8atiNdwVKSMhQ6EH5XD2qjf1yTA0PoI.jpg  \n",
      "  inflating: cat_12_train/Y8JRe0vkPjf2T7Ait1wraGKhWgmQbFXx.jpg  \n",
      "  inflating: cat_12_train/YA7UKxVTXRIwnc6JqktvmfE2SszolZug.jpg  \n",
      "  inflating: cat_12_train/yAb1WQaUtV64fj0ODzESIhsHv7kT9Y3Z.jpg  \n",
      "  inflating: cat_12_train/YaT8XQmjvLq1cOsnGAHku94ZC6rxdiz3.jpg  \n",
      "  inflating: cat_12_train/Ybg0P4rSsDclmtO3jMLkiEB5yexAW7d1.jpg  \n",
      "  inflating: cat_12_train/ycGiWvoIkD2YC3u8wtXZ0VMJeKQ5FETl.jpg  \n",
      "  inflating: cat_12_train/YcsoV3a64ui07HvfCePZXxdy8gmQTJUj.jpg  \n",
      "  inflating: cat_12_train/ydWEow5SbUmKv6ZgiRHNxlnMVBq8fCt2.jpg  \n",
      "  inflating: cat_12_train/yeXONQCvIRknsV9wMT0o5p41UuZaq8bW.jpg  \n",
      "  inflating: cat_12_train/YfOCvSFcHqiLwxKV0Z9I82nAN3yuplbD.jpg  \n",
      "  inflating: cat_12_train/YfsxcFB9D3LvkdQyiXlqnNZ4STwope2r.jpg  \n",
      "  inflating: cat_12_train/Yg0DOPBVpud9H4kJwG7h5EQ3xnetTr2L.jpg  \n",
      "  inflating: cat_12_train/yG8N0b7I3VYdrWAKZxX5Jiog2v4c9MHU.jpg  \n",
      "  inflating: cat_12_train/yGcJHV8Uuft6grFs7QWnK5CTAZvYzdDO.jpg  \n",
      "  inflating: cat_12_train/ygUldT82af6VLqJWGOXp47jrNsEZb5DH.jpg  \n",
      "  inflating: cat_12_train/YGyx4qCdOb7j8tzBuNfoFHLi6gU0SE3T.jpg  \n",
      "  inflating: cat_12_train/YHIhoq8trsmdXzUG9kRpCPLKaN4beBnw.jpg  \n",
      "  inflating: cat_12_train/yI0FvdsliQ9w8gXpMZua5Nm1KoHbOzek.jpg  \n",
      "  inflating: cat_12_train/ykBn2j9G0PAuX31qaUDYShW6pK7diEsv.jpg  \n",
      "  inflating: cat_12_train/YKHu0LD3xWVE6mwp1dalZQiP7kOoMveq.jpg  \n",
      "  inflating: cat_12_train/YKROC2Vc3SZoTAqb5GpkuMQz9vWiNDra.jpg  \n",
      "  inflating: cat_12_train/YljvWbUZqnrRtHXTOzeFhcwD60x2ma8f.jpg  \n",
      "  inflating: cat_12_train/YLoXbT7FKgylAsUarGZ6t5S21HkP8czV.jpg  \n",
      "  inflating: cat_12_train/YmbcwdzGpWB6jJKgqhCHtXLEoFT5xN0l.jpg  \n",
      "  inflating: cat_12_train/yNesfvp4qTuA3JHXxmEMcFGYd8VWrQ7k.jpg  \n",
      "  inflating: cat_12_train/ynsCQMJzikxGUIcASXwBDYWVZEPj3T5N.jpg  \n",
      "  inflating: cat_12_train/YnvPqZML8ytaNwCQifzxo31X6AHJE2pU.jpg  \n",
      "  inflating: cat_12_train/YORPGwLKIblgk538NhS9dJtj4oa2npfu.jpg  \n",
      "  inflating: cat_12_train/yqHUFrWT2Q9fgmVSO3RsLM5op1e4NZtG.jpg  \n",
      "  inflating: cat_12_train/YQzVZ8OqD94tKnGMRjTiXF6AWdp2UrE7.jpg  \n",
      "  inflating: cat_12_train/yrJKX1pV9WuR7ejBavDsk2Qch4zoP3i8.jpg  \n",
      "  inflating: cat_12_train/yru84wQxLPm3eaHiW2Rs0DJTC6GcjMEv.jpg  \n",
      "  inflating: cat_12_train/Ys2zrSoB3lTGvdmfVOF5PbLnt6cy0KUk.jpg  \n",
      "  inflating: cat_12_train/YSBr6XK2QtALUk74V0nimNoIsTylOqje.jpg  \n",
      "  inflating: cat_12_train/ysW0DKjTJ1XghR5upw7CLIB9MvnG3qVa.jpg  \n",
      "  inflating: cat_12_train/ysY0i5BbxHj1lUPpWOzMST297CnEkodN.jpg  \n",
      "  inflating: cat_12_train/YT3wW8HyhNSePXF9scb5M4nAl1IOi6Zx.jpg  \n",
      "  inflating: cat_12_train/YuMSHJrOGsebLnh2Vo6qQRd0zTF1ItPa.jpg  \n",
      "  inflating: cat_12_train/yUZs2JqX7MVijcQYo4fpnGk5vFNzD8gW.jpg  \n",
      "  inflating: cat_12_train/yvQ8O27RFKHrcZu93TgYEJA4hGqbenSX.jpg  \n",
      "  inflating: cat_12_train/YVRXhpkZeKHgNLDsA0uaBjSr4qzfbOU7.jpg  \n",
      "  inflating: cat_12_train/YVvxBGMTikL9dmspN2HlwfPJA4CquejI.jpg  \n",
      "  inflating: cat_12_train/ywADTd0l4isWYLhOkj8GHVtEU1M37zxS.jpg  \n",
      "  inflating: cat_12_train/ywCvjIM3B7LQzGmXZ2FN5fHxquJO1ond.jpg  \n",
      "  inflating: cat_12_train/yWezL0sfMU7xomAZBEgIrh4CkO1bi9lc.jpg  \n",
      "  inflating: cat_12_train/YWJL2oikv1aVdA9xhsUepGPM4wny3lTu.jpg  \n",
      "  inflating: cat_12_train/yWkeraHZfTICv2sKLoQD3M4VtEpOJBmd.jpg  \n",
      "  inflating: cat_12_train/YxFKcRIiopQNVMEa4v7Cy6fWO1A2gBse.jpg  \n",
      "  inflating: cat_12_train/yxNcRSz4TI7FpwCVJBuea6MmGitZYUkK.jpg  \n",
      "  inflating: cat_12_train/yxOmMez9FHSI3GCp560bkXwDWhEriRdQ.jpg  \n",
      "  inflating: cat_12_train/YXw05SHsoxGyaFinbhJAfucPK9vL83qR.jpg  \n",
      "  inflating: cat_12_train/yYaCc3GTlFpBgW09hdojK6ZExk4Pnu1X.jpg  \n",
      "  inflating: cat_12_train/z0aHyuEoUrRm9jWGxlKwYqh1L3M72CNb.jpg  \n",
      "  inflating: cat_12_train/z1h9ukCKctjlngxFdw52rvDoWVbyAY68.jpg  \n",
      "  inflating: cat_12_train/z1JGPTY9dKOIpsyUQ2M0bReBAtHEkCuh.jpg  \n",
      "  inflating: cat_12_train/z2d0qkmvbYSREcQ65Z7nwWFTxMrIgoj9.jpg  \n",
      "  inflating: cat_12_train/z2g1OtPD0jE85w7GLInJAYxR96hreBki.jpg  \n",
      "  inflating: cat_12_train/z2lfTG1OJPYLyahQ0gtRoD3AW8Nvmkxe.jpg  \n",
      "  inflating: cat_12_train/z34mYUrfvsd0RcOZtLy26jTwlga9qIN8.jpg  \n",
      "  inflating: cat_12_train/z37KmnIvJl6LixtOjycETAWhqaQsfw8Z.jpg  \n",
      "  inflating: cat_12_train/Z3AdKEIUJXsL7lwCeDfVPum2o69brHWO.jpg  \n",
      "  inflating: cat_12_train/z6AQ4EJBCmPquvrsDOL7Ie8kgl09Sboh.jpg  \n",
      "  inflating: cat_12_train/Z6dDgXm9TpvF4ystESwbMki5qjNHWrcJ.jpg  \n",
      "  inflating: cat_12_train/z8owl132I5nrK4iqcfNbD7ksAY9WdOvR.jpg  \n",
      "  inflating: cat_12_train/z8u3Y6LeSivhokP94rjsZ5RIXcmM017N.jpg  \n",
      "  inflating: cat_12_train/zAcHyqfaMJXmPxwE08dreOYSt4KsoCiV.jpg  \n",
      "  inflating: cat_12_train/zb5vqwToBPtmnZVI3l7yC6FYuWKhikHg.jpg  \n",
      "  inflating: cat_12_train/Zbq6ImgtzJCGiS7j3Low4MseT8xuOyfX.jpg  \n",
      "  inflating: cat_12_train/zD5LwfW3i1Ed8M0NlgytnmCAUTaKehGB.jpg  \n",
      "  inflating: cat_12_train/ZdnQky5DSqGiHhVN8IgTmpvCJA1e2oLB.jpg  \n",
      "  inflating: cat_12_train/zegwU1IEB2PDuHr0f9ORL6yios3VqQAj.jpg  \n",
      "  inflating: cat_12_train/ZeKI1P9zl8rWpQu0DG256vBscFExtnMw.jpg  \n",
      "  inflating: cat_12_train/zfFBeWlDkhjE096tSdaMXRm2Y37J1iIA.jpg  \n",
      "  inflating: cat_12_train/zGgBruDVLCT6xvJXQ0qiKEInwSsPecyt.jpg  \n",
      "  inflating: cat_12_train/ZgmwvIYe2FCQnXcfAUuODxo8RhSWLlTE.jpg  \n",
      "  inflating: cat_12_train/zGNUc25d301LAahrODlvVF64JumZRfeq.jpg  \n",
      "  inflating: cat_12_train/ZgRYEIBn80p1NsxhiXF5qtV2fMoTSdrC.jpg  \n",
      "  inflating: cat_12_train/zHafR2NP9xl83cUv6ZIsVyYe0KwEoqXm.jpg  \n",
      "  inflating: cat_12_train/zhcs9IgpHmOuFtq5wJjQ67yelC401LPi.jpg  \n",
      "  inflating: cat_12_train/ZhwqJkiuLGRFtCDcSETPrX5ypU3VYN9a.jpg  \n",
      "  inflating: cat_12_train/zIisvDgEoArUZmWp4bBtfRLGwuxQXadc.jpg  \n",
      "  inflating: cat_12_train/ZIQB95SUsT6LR87qXVYGkvwDMAcWdnum.jpg  \n",
      "  inflating: cat_12_train/ZisGnfIJ35H1mK6paDz9tlPULqoMQhRE.jpg  \n",
      "  inflating: cat_12_train/zJI7fGRbDZPqQroTKWvnS30OCVF61pLY.jpg  \n",
      "  inflating: cat_12_train/ZjyRN6We4KPG1YwStB9q5J7CpxzsAlFM.jpg  \n",
      "  inflating: cat_12_train/zK7lrndvYkGuHP42LUoMxqXWREpcb5Ah.jpg  \n",
      "  inflating: cat_12_train/zkZYSKNARVf72rm01EeyqCBh9P48Dx3Q.jpg  \n",
      "  inflating: cat_12_train/ZLuwjCq9WcJxdFhNMztQgnH73URO461P.jpg  \n",
      "  inflating: cat_12_train/ZMdaHLNteTgpEXP9iml6bQ8IyjCB7zSn.jpg  \n",
      "  inflating: cat_12_train/zMdpym50eLYlwhncVjt23UErTgxQoRHG.jpg  \n",
      "  inflating: cat_12_train/ZNHVkDUBwE1z4rAgvWdSJps8KYP30cai.jpg  \n",
      "  inflating: cat_12_train/ZNJ9OIb0ELGmfVcF3kjU8BQie41XAHTs.jpg  \n",
      "  inflating: cat_12_train/znLGmBZwgEWYUxoIt9lueT36rAq8vPQf.jpg  \n",
      "  inflating: cat_12_train/zObXNyWDhMArUPi6L0wnQuHjkFmKYv7V.jpg  \n",
      "  inflating: cat_12_train/zoN18guOGKbyfek4c9mVThAwUID3qlSX.jpg  \n",
      "  inflating: cat_12_train/ZOwvX7TAJ5dSWQ4fIlVYeMHNcumzoEF6.jpg  \n",
      "  inflating: cat_12_train/ZoYcDf1JXH3qzdIOTv2yCGBnsWVl8jx5.jpg  \n",
      "  inflating: cat_12_train/zQIcEYDsLd9yUCgqOuvHx5SPt36anKj1.jpg  \n",
      "  inflating: cat_12_train/zqwIMiGAVStJaFKYLO2RBXbQ3TnUHe7Z.jpg  \n",
      "  inflating: cat_12_train/zsnlyjMQ8admJDFfiWN2ZHER1OA0exP6.jpg  \n",
      "  inflating: cat_12_train/ZsRcpKuDgHz6yAh5noPWQIrJmda1tvwE.jpg  \n",
      "  inflating: cat_12_train/ZSYFxnfI1Q3UEi5Rvz6hrmHl7byX4BjD.jpg  \n",
      "  inflating: cat_12_train/ZtDqFvN1rymK8paMJB0Xgl657SQVPw93.jpg  \n",
      "  inflating: cat_12_train/ZtJUulzwdrM1fHxa8WFKP4On9S3hIDyG.jpg  \n",
      "  inflating: cat_12_train/Zu0a8Tor9Q7Nfjl4JSntAVFbDv1BzIRg.jpg  \n",
      "  inflating: cat_12_train/zu0gHARGXC1QO6vY4U2ETt9lDVPeJhoZ.jpg  \n",
      "  inflating: cat_12_train/zUck6ZSLy2t9XgY7VIEbvCHBeRwD3xmf.jpg  \n",
      "  inflating: cat_12_train/zup0tJLKXZRV27AToUvQdES9xW6fsw34.jpg  \n",
      "  inflating: cat_12_train/ZvCsmIaOuhbn6dgtpFMjey49K5x1BH3T.jpg  \n",
      "  inflating: cat_12_train/zVG9Iuyjom4wcMnEqXi13CDkp5sfrK7Z.jpg  \n",
      "  inflating: cat_12_train/ZVlnJpchifYNxR8Dwzoam9bI21vGA5k3.jpg  \n",
      "  inflating: cat_12_train/ZVr6sb3xGhld9COznPvFioeTc2RY14Eu.jpg  \n",
      "  inflating: cat_12_train/ZwQdKlcjrxBJHgNOATya6nChqY7t8VW9.jpg  \n",
      "  inflating: cat_12_train/ZwXct9ghvHyqdjxPNVYBS48e0OuAWa6R.jpg  \n",
      "  inflating: cat_12_train/Zx1MYlHFEPWpbJN2oCkQea98wsAVgvT7.jpg  \n",
      "  inflating: cat_12_train/ZynuCNp7srTFt02zcmRW6bhXSI9ewPfv.jpg  \n",
      "  inflating: cat_12_train/zyQNTEXeFRu7prgPVaIJOSH5tGfb6n34.jpg  \n",
      "  inflating: cat_12_train/ZzKEtS69i7UA5YRnwpCkDuljvWaQsIh0.jpg  \n",
      "  inflating: cat_12_train/zZqKv6ag5dJQVTSOrUcmXIsYflhN9bWB.jpg  \n",
      "  inflating: cat_12_train/zZtIXo5uha6D3Q1cPs0f9RriOqbpCSKG.jpg  \n"
     ]
    }
   ],
   "source": [
    "# 解压数据集\n",
    "%cd\n",
    "%cd data/data10954\n",
    "!unzip -o cat_12_test.zip\n",
    "!unzip -o cat_12_train.zip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-02T02:33:23.676690Z",
     "iopub.status.busy": "2022-06-02T02:33:23.675541Z",
     "iopub.status.idle": "2022-06-02T02:33:26.780104Z",
     "shell.execute_reply": "2022-06-02T02:33:26.779105Z",
     "shell.execute_reply.started": "2022-06-02T02:33:23.676642Z"
    },
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/aistudio\n",
      "data/data10954/cat_12_train/tO6cKGH8uPEayzmeZJ51Fdr2Tx3fBYSn.jpg\n",
      "P\n",
      "data/data10954/cat_12_train/ulFBEZNRQrxn57voHAJ4UG6Mct2sw1Cj.jpg\n",
      "RGBA\n",
      "data/data10954/cat_12_train/F3VnNwb2K9tgMWLodrXl1f6PIEjYqhy8.jpg\n",
      "L\n",
      "data/data10954/cat_12_train/YfsxcFB9D3LvkdQyiXlqnNZ4STwope2r.jpg\n",
      "P\n",
      "data/data10954/cat_12_train/6yYs4rvFLkQJlRxdhNfMOW52EAbgHejC.jpg\n",
      "RGBA\n",
      "data/data10954/cat_12_train/5nKsehtjrXCZqbAcSW13gxB8E6z2Luy7.jpg\n",
      "P\n",
      "data/data10954/cat_12_train/yGcJHV8Uuft6grFs7QWnK5CTAZvYzdDO.jpg\n",
      "P\n",
      "data/data10954/cat_12_train/YGyx4qCdOb7j8tzBuNfoFHLi6gU0SE3T.jpg\n",
      "RGBA\n",
      "data/data10954/cat_12_train/3yMZzWekKmuoGOF60ICQxldhBEc9Ra15.jpg\n",
      "P\n",
      "Qt29gPjYZwv3B6RJh5yiTWXrVImue1FH.jpg\n"
     ]
    }
   ],
   "source": [
    "# 安装相关库以及数据预处理\n",
    "import paddle\n",
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import shutil # 文件文档处理库\n",
    "import cv2    \n",
    "import imghdr # 检测图片类型\n",
    "from PIL import Image \n",
    "from matplotlib import pyplot as plt\n",
    "os.environ['CUDA_VISIBLE_DEVICES'] = '0' # 设置环境变量\n",
    "                \n",
    "%cd\n",
    "train_df = pd.read_csv('data/data10954/train_list.txt', header=None, sep='\\t')\n",
    "train_df.columns = ['name', 'cls'] # 返回列索引列表\n",
    "train_df['name'] = train_df['name'].apply(lambda x: str(x).strip().split('/')[-1]) # 切分文件名，舍去cat_12_train/\n",
    "train_df['cls'] = train_df['cls'].apply(lambda x: '%02d' % int(str(x).strip())) # 使图片标签类别变成2位数字\n",
    "\n",
    "# 将P、RGBA、L模式的图片转换为RGB模式\n",
    "for i in range(len(train_df)):\n",
    "    img_path = os.path.join('data/data10954/cat_12_train', train_df.at[i, 'name']) # i 元素在列中的位置 ，name 列名\n",
    "    if os.path.exists(img_path) and imghdr.what(img_path): # 检测路径文件是否存在及判断类别\n",
    "        img = Image.open(img_path) # 打开文件\n",
    "        if img.mode != 'RGB':\n",
    "            img = Image.open(img_path)\n",
    "            print(img_path)\n",
    "            print(img.mode)\n",
    "            img = img.convert('RGB') # 转换成rgb形式\n",
    "            img.save(img_path) # 保存\n",
    "\n",
    "for img_path in os.listdir('data/data10954/cat_12_test'):\n",
    "    src = os.path.join('data/data10954/cat_12_test',img_path)\n",
    "    img = Image.open(src)\n",
    "    if img.mode != 'RGB':\n",
    "        print(img_path)\n",
    "        img = img.convert('RGB') \n",
    "        img.save(src)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-02T02:33:36.245467Z",
     "iopub.status.busy": "2022-06-02T02:33:36.244493Z",
     "iopub.status.idle": "2022-06-02T02:33:36.431603Z",
     "shell.execute_reply": "2022-06-02T02:33:36.430422Z",
     "shell.execute_reply.started": "2022-06-02T02:33:36.245383Z"
    },
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/aistudio\n",
      "/home/aistudio/data/data10954\n"
     ]
    }
   ],
   "source": [
    "# 分割数据集，并生成train_list.txt和val_list.txt\n",
    "%cd \n",
    "%cd data/data10954\n",
    "data = []\n",
    "data_val = []\n",
    "with open('train_list.txt', 'r') as f:\n",
    "    n = 0\n",
    "    for line in f.readlines():\n",
    "        n += 1\n",
    "        line = line.strip()\n",
    "        if line != '':\n",
    "            img_path,label = line.split('\\t')\n",
    "            path0 = 'cat_12_train/'+img_path[13:-4]\n",
    "            if n % 10 == 0: # 1/10为验证集\n",
    "                data_val.append(line+'\\n')\n",
    "            else:\n",
    "                data.append(path0+'.jpg'+'\\t'+label+'\\n')           \n",
    "        \n",
    "# 更新train_list,并生成val_list\n",
    "with open('train_list.txt', 'w') as f:\n",
    "    for i in data:\n",
    "        f.write(i)\n",
    "with open('val_list.txt', 'w') as f:\n",
    "    for i in data_val:\n",
    "        f.write(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-02T02:34:15.514450Z",
     "iopub.status.busy": "2022-06-02T02:34:15.513942Z",
     "iopub.status.idle": "2022-06-02T02:34:56.010353Z",
     "shell.execute_reply": "2022-06-02T02:34:56.009615Z",
     "shell.execute_reply.started": "2022-06-02T02:34:15.514409Z"
    },
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n",
      "Collecting paddlex\n",
      "  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/ca/03/b401c6a34685aa698e7c2fbcfad029892cbfa4b562eaaa7722037fef86ed/paddlex-2.1.0-py3-none-any.whl (1.6 MB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.6/1.6 MB\u001b[0m \u001b[31m3.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0ma \u001b[36m0:00:01\u001b[0m\n",
      "\u001b[?25hRequirement already satisfied: flask-cors in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (3.0.8)\n",
      "Collecting paddleslim==2.2.1\n",
      "  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/0b/dc/f46c4669d4cb35de23581a2380d55bf9d38bb6855aab1978fdb956d85da6/paddleslim-2.2.1-py3-none-any.whl (310 kB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m310.9/310.9 KB\u001b[0m \u001b[31m1.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
      "\u001b[?25hCollecting scikit-learn==0.23.2\n",
      "  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/f4/cb/64623369f348e9bfb29ff898a57ac7c91ed4921f228e9726546614d63ccb/scikit_learn-0.23.2-cp37-cp37m-manylinux1_x86_64.whl (6.8 MB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m6.8/6.8 MB\u001b[0m \u001b[31m3.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
      "\u001b[?25hCollecting motmetrics\n",
      "  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/45/41/b019fe934eb811b9aba9b335f852305b804b9c66f098d7e35c2bdb09d1c8/motmetrics-1.2.5-py3-none-any.whl (161 kB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m161.1/161.1 KB\u001b[0m \u001b[31m4.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0ma \u001b[36m0:00:01\u001b[0m\n",
      "\u001b[?25hCollecting shapely>=1.7.0\n",
      "  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/d1/ec/3038263d69a0065d3ab6944ae839f5f00896efd29b13ae62d73c00345b95/Shapely-1.8.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (2.0 MB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.0/2.0 MB\u001b[0m \u001b[31m3.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0ma \u001b[36m0:00:01\u001b[0m\n",
      "\u001b[?25hCollecting lap\n",
      "  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/bf/64/d9fb6a75b15e783952b2fec6970f033462e67db32dc43dfbb404c14e91c2/lap-0.4.0.tar.gz (1.5 MB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.5/1.5 MB\u001b[0m \u001b[31m4.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
      "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25ldone\n",
      "\u001b[?25hRequirement already satisfied: pyyaml in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (5.1.2)\n",
      "Requirement already satisfied: openpyxl in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (3.0.5)\n",
      "Requirement already satisfied: tqdm in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (4.27.0)\n",
      "Requirement already satisfied: scipy in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (1.6.3)\n",
      "Requirement already satisfied: opencv-python in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (4.1.1.26)\n",
      "Collecting pycocotools\n",
      "  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/75/5c/ac61ea715d7a89ecc31c090753bde28810238225ca8b71778dfe3e6a68bc/pycocotools-2.0.4.tar.gz (106 kB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m106.6/106.6 KB\u001b[0m \u001b[31m11.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25h  Installing build dependencies ... \u001b[?25ldone\n",
      "\u001b[?25h  Getting requirements to build wheel ... \u001b[?25ldone\n",
      "\u001b[?25h  Preparing metadata (pyproject.toml) ... \u001b[?25ldone\n",
      "\u001b[?25hRequirement already satisfied: chardet in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (3.0.4)\n",
      "Requirement already satisfied: colorama in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (0.4.4)\n",
      "Requirement already satisfied: visualdl>=2.2.2 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (2.2.3)\n",
      "Requirement already satisfied: pyzmq in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddleslim==2.2.1->paddlex) (22.3.0)\n",
      "Requirement already satisfied: matplotlib in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddleslim==2.2.1->paddlex) (2.2.3)\n",
      "Requirement already satisfied: pillow in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddleslim==2.2.1->paddlex) (8.2.0)\n",
      "Requirement already satisfied: numpy>=1.13.3 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from scikit-learn==0.23.2->paddlex) (1.19.5)\n",
      "Requirement already satisfied: joblib>=0.11 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from scikit-learn==0.23.2->paddlex) (0.14.1)\n",
      "Requirement already satisfied: threadpoolctl>=2.0.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from scikit-learn==0.23.2->paddlex) (2.1.0)\n",
      "Requirement already satisfied: shellcheck-py in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.2.2->paddlex) (0.7.1.1)\n",
      "Requirement already satisfied: pandas in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.2.2->paddlex) (1.1.5)\n",
      "Requirement already satisfied: six>=1.14.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.2.2->paddlex) (1.16.0)\n",
      "Requirement already satisfied: Flask-Babel>=1.0.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.2.2->paddlex) (1.0.0)\n",
      "Requirement already satisfied: flake8>=3.7.9 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.2.2->paddlex) (4.0.1)\n",
      "Requirement already satisfied: protobuf>=3.11.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.2.2->paddlex) (3.14.0)\n",
      "Requirement already satisfied: bce-python-sdk in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.2.2->paddlex) (0.8.53)\n",
      "Requirement already satisfied: flask>=1.1.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.2.2->paddlex) (1.1.1)\n",
      "Requirement already satisfied: pre-commit in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.2.2->paddlex) (1.21.0)\n",
      "Requirement already satisfied: requests in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.2.2->paddlex) (2.24.0)\n",
      "Collecting xmltodict>=0.12.0\n",
      "  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/94/db/fd0326e331726f07ff7f40675cd86aa804bfd2e5016c727fa761c934990e/xmltodict-0.13.0-py2.py3-none-any.whl (10.0 kB)\n",
      "Requirement already satisfied: jdcal in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from openpyxl->paddlex) (1.4.1)\n",
      "Requirement already satisfied: et-xmlfile in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from openpyxl->paddlex) (1.0.1)\n",
      "Requirement already satisfied: pycodestyle<2.9.0,>=2.8.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flake8>=3.7.9->visualdl>=2.2.2->paddlex) (2.8.0)\n",
      "Requirement already satisfied: pyflakes<2.5.0,>=2.4.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flake8>=3.7.9->visualdl>=2.2.2->paddlex) (2.4.0)\n",
      "Requirement already satisfied: importlib-metadata<4.3 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flake8>=3.7.9->visualdl>=2.2.2->paddlex) (4.2.0)\n",
      "Requirement already satisfied: mccabe<0.7.0,>=0.6.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flake8>=3.7.9->visualdl>=2.2.2->paddlex) (0.6.1)\n",
      "Requirement already satisfied: itsdangerous>=0.24 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flask>=1.1.1->visualdl>=2.2.2->paddlex) (1.1.0)\n",
      "Requirement already satisfied: Werkzeug>=0.15 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flask>=1.1.1->visualdl>=2.2.2->paddlex) (0.16.0)\n",
      "Requirement already satisfied: Jinja2>=2.10.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flask>=1.1.1->visualdl>=2.2.2->paddlex) (3.0.0)\n",
      "Requirement already satisfied: click>=5.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flask>=1.1.1->visualdl>=2.2.2->paddlex) (7.0)\n",
      "Requirement already satisfied: Babel>=2.3 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from Flask-Babel>=1.0.0->visualdl>=2.2.2->paddlex) (2.8.0)\n",
      "Requirement already satisfied: pytz in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from Flask-Babel>=1.0.0->visualdl>=2.2.2->paddlex) (2019.3)\n",
      "Requirement already satisfied: python-dateutil>=2.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib->paddleslim==2.2.1->paddlex) (2.8.2)\n",
      "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib->paddleslim==2.2.1->paddlex) (3.0.8)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib->paddleslim==2.2.1->paddlex) (1.1.0)\n",
      "Requirement already satisfied: cycler>=0.10 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib->paddleslim==2.2.1->paddlex) (0.10.0)\n",
      "Requirement already satisfied: pycryptodome>=3.8.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from bce-python-sdk->visualdl>=2.2.2->paddlex) (3.9.9)\n",
      "Requirement already satisfied: future>=0.6.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from bce-python-sdk->visualdl>=2.2.2->paddlex) (0.18.0)\n",
      "Requirement already satisfied: cfgv>=2.0.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl>=2.2.2->paddlex) (2.0.1)\n",
      "Requirement already satisfied: identify>=1.0.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl>=2.2.2->paddlex) (1.4.10)\n",
      "Requirement already satisfied: virtualenv>=15.2 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl>=2.2.2->paddlex) (16.7.9)\n",
      "Requirement already satisfied: nodeenv>=0.11.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl>=2.2.2->paddlex) (1.3.4)\n",
      "Requirement already satisfied: aspy.yaml in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl>=2.2.2->paddlex) (1.3.0)\n",
      "Requirement already satisfied: toml in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl>=2.2.2->paddlex) (0.10.0)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from requests->visualdl>=2.2.2->paddlex) (2019.9.11)\n",
      "Requirement already satisfied: idna<3,>=2.5 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from requests->visualdl>=2.2.2->paddlex) (2.8)\n",
      "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from requests->visualdl>=2.2.2->paddlex) (1.25.6)\n",
      "Requirement already satisfied: typing-extensions>=3.6.4 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from importlib-metadata<4.3->flake8>=3.7.9->visualdl>=2.2.2->paddlex) (4.2.0)\n",
      "Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from importlib-metadata<4.3->flake8>=3.7.9->visualdl>=2.2.2->paddlex) (3.8.0)\n",
      "Requirement already satisfied: MarkupSafe>=2.0.0rc2 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from Jinja2>=2.10.1->flask>=1.1.1->visualdl>=2.2.2->paddlex) (2.0.1)\n",
      "Requirement already satisfied: setuptools in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from kiwisolver>=1.0.1->matplotlib->paddleslim==2.2.1->paddlex) (56.2.0)\n",
      "Building wheels for collected packages: lap, pycocotools\n",
      "  Building wheel for lap (setup.py) ... \u001b[?25ldone\n",
      "\u001b[?25h  Created wheel for lap: filename=lap-0.4.0-cp37-cp37m-linux_x86_64.whl size=1593875 sha256=f1879dbf4e90b7ee442a0bbdef9d356c15b00adc399730b7ed5e4998588aeaf0\n",
      "  Stored in directory: /home/aistudio/.cache/pip/wheels/5c/d0/d2/e331d17a999666b1e2eb99743cfa1742629f9d26c55c657001\n",
      "  Building wheel for pycocotools (pyproject.toml) ... \u001b[?25ldone\n",
      "\u001b[?25h  Created wheel for pycocotools: filename=pycocotools-2.0.4-cp37-cp37m-linux_x86_64.whl size=273775 sha256=0576a0c3657d4e6fa5ce7b9ed54099699a1e375be1544731fd540b3c6fb71505\n",
      "  Stored in directory: /home/aistudio/.cache/pip/wheels/c0/01/5f/670dfd20204fc9cc6bf843db4e014acb998f411922e3abc49f\n",
      "Successfully built lap pycocotools\n",
      "Installing collected packages: lap, xmltodict, shapely, scikit-learn, pycocotools, paddleslim, motmetrics, paddlex\n",
      "  Attempting uninstall: scikit-learn\n",
      "    Found existing installation: scikit-learn 0.24.2\n",
      "    Uninstalling scikit-learn-0.24.2:\n",
      "      Successfully uninstalled scikit-learn-0.24.2\n",
      "Successfully installed lap-0.4.0 motmetrics-1.2.5 paddleslim-2.2.1 paddlex-2.1.0 pycocotools-2.0.4 scikit-learn-0.23.2 shapely-1.8.2 xmltodict-0.13.0\n",
      "\u001b[33mWARNING: You are using pip version 22.0.4; however, version 22.1.2 is available.\n",
      "You should consider upgrading via the '/opt/conda/envs/python35-paddle120-env/bin/python -m pip install --upgrade pip' command.\u001b[0m\u001b[33m\n",
      "\u001b[0m[06-02 10:34:53 MainThread @utils.py:79] WRN paddlepaddle version: 2.3.0. The dynamic graph version of PARL is under development, not fully tested and supported\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2022-06-02 10:34:53,471-WARNING: type object 'QuantizationTransformPass' has no attribute '_supported_quantizable_op_type'\n",
      "2022-06-02 10:34:53,472-WARNING: If you want to use training-aware and post-training quantization, please use Paddle >= 1.8.4 or develop version\n"
     ]
    }
   ],
   "source": [
    "# 数据增强\n",
    "!pip install paddlex\n",
    "import paddlex as pdx\n",
    "from paddlex import transforms as T \n",
    "train_transforms = T.Compose([\n",
    "    T.MixupImage(\n",
    "        alpha=1.5,\n",
    "        beta=1.5,\n",
    "        mixup_epoch=int(300 * 25. / 27)),\n",
    "    T.Resize(\n",
    "        target_size=420,\n",
    "        interp='CUBIC'),\n",
    "    # 以图像中心点扩散裁剪长宽为目标尺寸的正方形\n",
    "    T.RandomCrop(360),\n",
    "    # 以一定的概率对图像进行随机水平翻转\n",
    "    T.RandomHorizontalFlip(0.5),\n",
    "    # 以一定的概率对图像进行随机像素内容变换，可包括亮度、对比度、饱和度、色相角度、通道顺序的调整，模型训练时的数据增强操作\n",
    "    T.RandomDistort(\n",
    "        brightness_range=0.25,\n",
    "        brightness_prob=0.5,\n",
    "        contrast_range=0.25,\n",
    "        contrast_prob=0.5,\n",
    "        saturation_range=0.25,\n",
    "        saturation_prob=0.5,\n",
    "        hue_range=18.0,\n",
    "        hue_prob=0.5),\n",
    "    # 以一定的概率对图像进行高斯模糊\n",
    "    T.RandomBlur(0.1),\n",
    "    # 对图像进行标准化\n",
    "    T.Normalize([0.4848, 0.4435, 0.4023], [0.2744, 0.2688, 0.2757])\n",
    "])\n",
    "# 验证集增强\n",
    "eval_transforms = T.Compose([\n",
    "    T.Resize(\n",
    "        target_size=420,\n",
    "        interp='AREA'),\n",
    "    T.CenterCrop(360),\n",
    "    T.Normalize([0.4848, 0.4435, 0.4023], [0.2744, 0.2688, 0.2757])\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-02T02:34:56.359594Z",
     "iopub.status.busy": "2022-06-02T02:34:56.359412Z",
     "iopub.status.idle": "2022-06-02T02:34:56.426382Z",
     "shell.execute_reply": "2022-06-02T02:34:56.425574Z",
     "shell.execute_reply.started": "2022-06-02T02:34:56.359569Z"
    },
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/aistudio\n",
      "2022-06-02 10:34:56 [INFO]\tStarting to read file list from dataset...\n",
      "2022-06-02 10:34:56 [INFO]\t2160 samples in file data/data10954/train_list.txt\n",
      "2022-06-02 10:34:56 [INFO]\tStarting to read file list from dataset...\n",
      "2022-06-02 10:34:56 [INFO]\t2160 samples in file data/data10954/val_list.txt\n"
     ]
    }
   ],
   "source": [
    "# 生成labels.txt\n",
    "with open('labels.txt','w+') as f:\n",
    "    for i in range(12):\n",
    "        f.write(str(i)+'\\t'+str(i)+'\\n')\n",
    "# 数据结构准备\n",
    "%cd\n",
    "train_dataset = pdx.datasets.ImageNet(\n",
    "    data_dir='data/data10954',\n",
    "    file_list='data/data10954/train_list.txt',\n",
    "    label_list='data/data10954/labels.txt',\n",
    "    transforms=train_transforms,\n",
    "    shuffle=True) # 是否需要对数据集中样本打乱顺序\n",
    "eval_dataset = pdx.datasets.ImageNet(\n",
    "    data_dir='data/data10954',\n",
    "    file_list='data/data10954/val_list.txt',\n",
    "    label_list='data/data10954/labels.txt',\n",
    "    transforms=eval_transforms)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-02T02:35:32.339995Z",
     "iopub.status.busy": "2022-06-02T02:35:32.338835Z",
     "iopub.status.idle": "2022-06-02T04:43:45.696700Z",
     "shell.execute_reply": "2022-06-02T04:43:45.693517Z",
     "shell.execute_reply.started": "2022-06-02T02:35:32.339951Z"
    },
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2022-06-02 10:35:32 [INFO]\tDownloading ResNet50_vd_ssld_pretrained.pdparams from https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/ResNet50_vd_ssld_pretrained.pdparams\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 151509/151509 [00:07<00:00, 19079.02KB/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2022-06-02 10:35:40 [INFO]\tLoading pretrained model from output/ResNet50_vd_ssld/pretrain/ResNet50_vd_ssld_pretrained.pdparams\n",
      "2022-06-02 10:35:41 [WARNING]\t[SKIP] Shape of pretrained params fc.weight doesn't match.(Pretrained: (2048, 1000), Actual: [2048, 12])\n",
      "2022-06-02 10:35:41 [WARNING]\t[SKIP] Shape of pretrained params fc.bias doesn't match.(Pretrained: (1000,), Actual: [12])\n",
      "2022-06-02 10:35:41 [INFO]\tThere are 275/277 variables loaded into ResNet50_vd_ssld.\n",
      "2022-06-02 10:36:05 [INFO]\t[TRAIN] Epoch 1 finished, loss=2.4348383, acc1=0.1875598, acc5=0.57177037 .\n",
      "2022-06-02 10:36:30 [INFO]\t[TRAIN] Epoch 2 finished, loss=1.9166533, acc1=0.53636366, acc5=0.9052631 .\n",
      "2022-06-02 10:36:54 [INFO]\t[TRAIN] Epoch 3 finished, loss=0.9474112, acc1=0.72440195, acc5=0.9727273 .\n",
      "2022-06-02 10:37:19 [INFO]\t[TRAIN] Epoch 4 finished, loss=0.55595964, acc1=0.82057416, acc5=0.98612446 .\n",
      "2022-06-02 10:37:46 [INFO]\t[TRAIN] Epoch 5 finished, loss=0.43486083, acc1=0.8483253, acc5=0.98516744 .\n",
      "2022-06-02 10:37:46 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 10:38:01 [INFO]\t[EVAL] Finished, Epoch=5, acc1=0.947727, acc5=0.999545 .\n",
      "2022-06-02 10:38:01 [INFO]\tModel saved in output/ResNet50_vd_ssld/best_model.\n",
      "2022-06-02 10:38:01 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_5, acc1=0.9477273225784302\n",
      "2022-06-02 10:38:02 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_5.\n",
      "2022-06-02 10:38:27 [INFO]\t[TRAIN] Epoch 6 finished, loss=0.4014279, acc1=0.85598093, acc5=0.9880383 .\n",
      "2022-06-02 10:38:52 [INFO]\t[TRAIN] Epoch=7/420, Step=19/19, loss=0.354166, acc1=0.854545, acc5=0.990909, lr=0.025000, time_each_step=1.3s, eta=3:12:2\n",
      "2022-06-02 10:38:52 [INFO]\t[TRAIN] Epoch 7 finished, loss=0.35004973, acc1=0.87511957, acc5=0.98947376 .\n",
      "2022-06-02 10:39:18 [INFO]\t[TRAIN] Epoch 8 finished, loss=0.35678428, acc1=0.8789473, acc5=0.98851675 .\n",
      "2022-06-02 10:39:43 [INFO]\t[TRAIN] Epoch 9 finished, loss=0.31759843, acc1=0.88516736, acc5=0.99521536 .\n",
      "2022-06-02 10:40:08 [INFO]\t[TRAIN] Epoch 10 finished, loss=0.30735216, acc1=0.892823, acc5=0.98947376 .\n",
      "2022-06-02 10:40:08 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 10:40:24 [INFO]\t[EVAL] Finished, Epoch=10, acc1=0.970909, acc5=1.000000 .\n",
      "2022-06-02 10:40:26 [INFO]\tModel saved in output/ResNet50_vd_ssld/best_model.\n",
      "2022-06-02 10:40:26 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_10, acc1=0.9709089994430542\n",
      "2022-06-02 10:40:26 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_10.\n",
      "2022-06-02 10:40:52 [INFO]\t[TRAIN] Epoch 11 finished, loss=0.30999172, acc1=0.8894737, acc5=0.9904307 .\n",
      "2022-06-02 10:41:18 [INFO]\t[TRAIN] Epoch 12 finished, loss=0.2694965, acc1=0.90382767, acc5=0.98851687 .\n",
      "2022-06-02 10:41:44 [INFO]\t[TRAIN] Epoch 13 finished, loss=0.25629753, acc1=0.908134, acc5=0.99377984 .\n",
      "2022-06-02 10:42:09 [INFO]\t[TRAIN] Epoch=14/420, Step=19/19, loss=0.218527, acc1=0.927273, acc5=1.000000, lr=0.025000, time_each_step=1.33s, eta=3:15:41\n",
      "2022-06-02 10:42:09 [INFO]\t[TRAIN] Epoch 14 finished, loss=0.2242148, acc1=0.9215311, acc5=0.99473685 .\n",
      "2022-06-02 10:42:35 [INFO]\t[TRAIN] Epoch 15 finished, loss=0.23050264, acc1=0.9234449, acc5=0.9956938 .\n",
      "2022-06-02 10:42:35 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 10:42:51 [INFO]\t[EVAL] Finished, Epoch=15, acc1=0.987727, acc5=1.000000 .\n",
      "2022-06-02 10:42:52 [INFO]\tModel saved in output/ResNet50_vd_ssld/best_model.\n",
      "2022-06-02 10:42:52 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_15, acc1=0.9877273440361023\n",
      "2022-06-02 10:42:53 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_15.\n",
      "2022-06-02 10:43:17 [INFO]\t[TRAIN] Epoch 16 finished, loss=0.20886612, acc1=0.9277511, acc5=0.99425846 .\n",
      "2022-06-02 10:43:43 [INFO]\t[TRAIN] Epoch 17 finished, loss=0.21644846, acc1=0.9172249, acc5=0.99282295 .\n",
      "2022-06-02 10:44:08 [INFO]\t[TRAIN] Epoch 18 finished, loss=0.19489737, acc1=0.9382775, acc5=0.99521536 .\n",
      "2022-06-02 10:44:35 [INFO]\t[TRAIN] Epoch 19 finished, loss=0.21321659, acc1=0.9272727, acc5=0.99712914 .\n",
      "2022-06-02 10:45:00 [INFO]\t[TRAIN] Epoch 20 finished, loss=0.21456103, acc1=0.92583716, acc5=0.99617225 .\n",
      "2022-06-02 10:45:00 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 10:45:15 [INFO]\t[EVAL] Finished, Epoch=20, acc1=0.996364, acc5=1.000000 .\n",
      "2022-06-02 10:45:17 [INFO]\tModel saved in output/ResNet50_vd_ssld/best_model.\n",
      "2022-06-02 10:45:17 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_20, acc1=0.996363639831543\n",
      "2022-06-02 10:45:17 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_20.\n",
      "2022-06-02 10:45:44 [INFO]\t[TRAIN] Epoch=21/420, Step=19/19, loss=0.299056, acc1=0.918182, acc5=0.981818, lr=0.025000, time_each_step=1.35s, eta=3:12:5\n",
      "2022-06-02 10:45:45 [INFO]\t[TRAIN] Epoch 21 finished, loss=0.19918628, acc1=0.9349283, acc5=0.99377984 .\n",
      "2022-06-02 10:46:09 [INFO]\t[TRAIN] Epoch 22 finished, loss=0.18992183, acc1=0.9311004, acc5=0.99521536 .\n",
      "2022-06-02 10:46:35 [INFO]\t[TRAIN] Epoch 23 finished, loss=0.19858891, acc1=0.9320573, acc5=0.99521536 .\n",
      "2022-06-02 10:47:01 [INFO]\t[TRAIN] Epoch 24 finished, loss=0.17793018, acc1=0.93540674, acc5=0.9956938 .\n",
      "2022-06-02 10:47:25 [INFO]\t[TRAIN] Epoch 25 finished, loss=0.174158, acc1=0.93971294, acc5=0.99282306 .\n",
      "2022-06-02 10:47:25 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 10:47:42 [INFO]\t[EVAL] Finished, Epoch=25, acc1=0.996364, acc5=1.000000 .\n",
      "2022-06-02 10:47:42 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_20, acc1=0.996363639831543\n",
      "2022-06-02 10:47:42 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_25.\n",
      "2022-06-02 10:48:08 [INFO]\t[TRAIN] Epoch 26 finished, loss=0.18597431, acc1=0.94066983, acc5=0.99282295 .\n",
      "2022-06-02 10:48:34 [INFO]\t[TRAIN] Epoch 27 finished, loss=0.19637883, acc1=0.9339713, acc5=0.9933014 .\n",
      "2022-06-02 10:49:00 [INFO]\t[TRAIN] Epoch=28/420, Step=19/19, loss=0.208334, acc1=0.918182, acc5=0.981818, lr=0.025000, time_each_step=1.33s, eta=3:6:36\n",
      "2022-06-02 10:49:00 [INFO]\t[TRAIN] Epoch 28 finished, loss=0.18180619, acc1=0.9401914, acc5=0.99617225 .\n",
      "2022-06-02 10:49:27 [INFO]\t[TRAIN] Epoch 29 finished, loss=0.15203376, acc1=0.94210523, acc5=0.9966507 .\n",
      "2022-06-02 10:49:51 [INFO]\t[TRAIN] Epoch 30 finished, loss=0.16239814, acc1=0.9430621, acc5=0.9942584 .\n",
      "2022-06-02 10:49:52 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 10:50:08 [INFO]\t[EVAL] Finished, Epoch=30, acc1=0.999091, acc5=1.000000 .\n",
      "2022-06-02 10:50:10 [INFO]\tModel saved in output/ResNet50_vd_ssld/best_model.\n",
      "2022-06-02 10:50:10 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_30, acc1=0.9990909695625305\n",
      "2022-06-02 10:50:10 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_30.\n",
      "2022-06-02 10:50:39 [INFO]\t[TRAIN] Epoch 31 finished, loss=0.17816585, acc1=0.9339712, acc5=0.99617225 .\n",
      "2022-06-02 10:51:05 [INFO]\t[TRAIN] Epoch 32 finished, loss=0.14282732, acc1=0.9507176, acc5=0.99282306 .\n",
      "2022-06-02 10:51:30 [INFO]\t[TRAIN] Epoch 33 finished, loss=0.15633622, acc1=0.9454544, acc5=0.9947369 .\n",
      "2022-06-02 10:51:56 [INFO]\t[TRAIN] Epoch 34 finished, loss=0.15365592, acc1=0.94736844, acc5=0.99712926 .\n",
      "2022-06-02 10:52:23 [INFO]\t[TRAIN] Epoch=35/420, Step=19/19, loss=0.167425, acc1=0.936364, acc5=0.990909, lr=0.025000, time_each_step=1.37s, eta=3:10:39\n",
      "2022-06-02 10:52:23 [INFO]\t[TRAIN] Epoch 35 finished, loss=0.15089318, acc1=0.945933, acc5=0.9956938 .\n",
      "2022-06-02 10:52:23 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 10:52:40 [INFO]\t[EVAL] Finished, Epoch=35, acc1=0.998182, acc5=1.000000 .\n",
      "2022-06-02 10:52:40 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_30, acc1=0.9990909695625305\n",
      "2022-06-02 10:52:40 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_35.\n",
      "2022-06-02 10:53:07 [INFO]\t[TRAIN] Epoch 36 finished, loss=0.14709754, acc1=0.94976074, acc5=0.9947369 .\n",
      "2022-06-02 10:53:33 [INFO]\t[TRAIN] Epoch 37 finished, loss=0.13732757, acc1=0.9535885, acc5=0.9966507 .\n",
      "2022-06-02 10:54:01 [INFO]\t[TRAIN] Epoch 38 finished, loss=0.14634159, acc1=0.9502393, acc5=0.99521536 .\n",
      "2022-06-02 10:54:27 [INFO]\t[TRAIN] Epoch 39 finished, loss=0.15233998, acc1=0.94689, acc5=0.99617225 .\n",
      "2022-06-02 10:54:52 [INFO]\t[TRAIN] Epoch 40 finished, loss=0.16195412, acc1=0.945933, acc5=0.99521536 .\n",
      "2022-06-02 10:54:52 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 10:55:08 [INFO]\t[EVAL] Finished, Epoch=40, acc1=0.999091, acc5=1.000000 .\n",
      "2022-06-02 10:55:08 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_30, acc1=0.9990909695625305\n",
      "2022-06-02 10:55:08 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_40.\n",
      "2022-06-02 10:55:33 [INFO]\t[TRAIN] Epoch 41 finished, loss=0.14086275, acc1=0.9545455, acc5=0.99521536 .\n",
      "2022-06-02 10:55:59 [INFO]\t[TRAIN] Epoch=42/420, Step=19/19, loss=0.173744, acc1=0.945455, acc5=1.000000, lr=0.025000, time_each_step=1.36s, eta=3:3:27\n",
      "2022-06-02 10:55:59 [INFO]\t[TRAIN] Epoch 42 finished, loss=0.12809758, acc1=0.960287, acc5=0.9966507 .\n",
      "2022-06-02 10:56:24 [INFO]\t[TRAIN] Epoch 43 finished, loss=0.15511158, acc1=0.94497603, acc5=0.9976077 .\n",
      "2022-06-02 10:56:50 [INFO]\t[TRAIN] Epoch 44 finished, loss=0.12878764, acc1=0.95645934, acc5=0.9956937 .\n",
      "2022-06-02 10:57:15 [INFO]\t[TRAIN] Epoch 45 finished, loss=0.14687653, acc1=0.9535885, acc5=0.99425846 .\n",
      "2022-06-02 10:57:15 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 10:57:31 [INFO]\t[EVAL] Finished, Epoch=45, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 10:57:33 [INFO]\tModel saved in output/ResNet50_vd_ssld/best_model.\n",
      "2022-06-02 10:57:33 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 10:57:34 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_45.\n",
      "2022-06-02 10:58:00 [INFO]\t[TRAIN] Epoch 46 finished, loss=0.1471021, acc1=0.9483254, acc5=0.9956938 .\n",
      "2022-06-02 10:58:26 [INFO]\t[TRAIN] Epoch 47 finished, loss=0.095945716, acc1=0.9669856, acc5=0.9976077 .\n",
      "2022-06-02 10:58:50 [INFO]\t[TRAIN] Epoch 48 finished, loss=0.11908988, acc1=0.95837325, acc5=0.99808615 .\n",
      "2022-06-02 10:59:15 [INFO]\t[TRAIN] Epoch=49/420, Step=19/19, loss=0.072300, acc1=0.981818, acc5=0.990909, lr=0.002500, time_each_step=1.32s, eta=2:57:28\n",
      "2022-06-02 10:59:15 [INFO]\t[TRAIN] Epoch 49 finished, loss=0.12048877, acc1=0.96076566, acc5=0.9947369 .\n",
      "2022-06-02 10:59:41 [INFO]\t[TRAIN] Epoch 50 finished, loss=0.11288953, acc1=0.9612441, acc5=0.9947369 .\n",
      "2022-06-02 10:59:41 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 10:59:57 [INFO]\t[EVAL] Finished, Epoch=50, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 10:59:57 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 10:59:57 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_50.\n",
      "2022-06-02 11:00:24 [INFO]\t[TRAIN] Epoch 51 finished, loss=0.09791444, acc1=0.9679426, acc5=0.99712926 .\n",
      "2022-06-02 11:00:49 [INFO]\t[TRAIN] Epoch 52 finished, loss=0.1001126, acc1=0.9669857, acc5=0.99617225 .\n",
      "2022-06-02 11:01:14 [INFO]\t[TRAIN] Epoch 53 finished, loss=0.09192626, acc1=0.9679425, acc5=0.9976077 .\n",
      "2022-06-02 11:01:41 [INFO]\t[TRAIN] Epoch 54 finished, loss=0.09667537, acc1=0.9679425, acc5=0.9966507 .\n",
      "2022-06-02 11:02:06 [INFO]\t[TRAIN] Epoch 55 finished, loss=0.1030319, acc1=0.9636365, acc5=0.9976077 .\n",
      "2022-06-02 11:02:06 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 11:02:22 [INFO]\t[EVAL] Finished, Epoch=55, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 11:02:22 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 11:02:23 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_55.\n",
      "2022-06-02 11:02:49 [INFO]\t[TRAIN] Epoch=56/420, Step=19/19, loss=0.086023, acc1=0.972727, acc5=1.000000, lr=0.002500, time_each_step=1.35s, eta=2:55:14\n",
      "2022-06-02 11:02:49 [INFO]\t[TRAIN] Epoch 56 finished, loss=0.08521954, acc1=0.97081345, acc5=0.99856454 .\n",
      "2022-06-02 11:03:14 [INFO]\t[TRAIN] Epoch 57 finished, loss=0.11522062, acc1=0.9607654, acc5=0.9923445 .\n",
      "2022-06-02 11:03:39 [INFO]\t[TRAIN] Epoch 58 finished, loss=0.10265297, acc1=0.96315795, acc5=0.9966508 .\n",
      "2022-06-02 11:04:05 [INFO]\t[TRAIN] Epoch 59 finished, loss=0.0961741, acc1=0.96842104, acc5=0.99808615 .\n",
      "2022-06-02 11:04:30 [INFO]\t[TRAIN] Epoch 60 finished, loss=0.08452299, acc1=0.9770335, acc5=0.9956938 .\n",
      "2022-06-02 11:04:30 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 11:04:46 [INFO]\t[EVAL] Finished, Epoch=60, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 11:04:46 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 11:04:47 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_60.\n",
      "2022-06-02 11:05:11 [INFO]\t[TRAIN] Epoch 61 finished, loss=0.0895238, acc1=0.9688995, acc5=0.99617237 .\n",
      "2022-06-02 11:05:37 [INFO]\t[TRAIN] Epoch 62 finished, loss=0.077249415, acc1=0.9779904, acc5=0.99617225 .\n",
      "2022-06-02 11:06:03 [INFO]\t[TRAIN] Epoch=63/420, Step=19/19, loss=0.042709, acc1=0.981818, acc5=1.000000, lr=0.002500, time_each_step=1.32s, eta=2:48:35\n",
      "2022-06-02 11:06:03 [INFO]\t[TRAIN] Epoch 63 finished, loss=0.1082307, acc1=0.96076566, acc5=0.9956938 .\n",
      "2022-06-02 11:06:28 [INFO]\t[TRAIN] Epoch 64 finished, loss=0.089407414, acc1=0.96746415, acc5=0.9956938 .\n",
      "2022-06-02 11:06:54 [INFO]\t[TRAIN] Epoch 65 finished, loss=0.0869809, acc1=0.9736843, acc5=0.99856454 .\n",
      "2022-06-02 11:06:54 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 11:07:09 [INFO]\t[EVAL] Finished, Epoch=65, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 11:07:09 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 11:07:10 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_65.\n",
      "2022-06-02 11:07:35 [INFO]\t[TRAIN] Epoch 66 finished, loss=0.096558966, acc1=0.9655502, acc5=0.9966507 .\n",
      "2022-06-02 11:08:00 [INFO]\t[TRAIN] Epoch 67 finished, loss=0.07479252, acc1=0.9722488, acc5=0.9976077 .\n",
      "2022-06-02 11:08:25 [INFO]\t[TRAIN] Epoch 68 finished, loss=0.074714035, acc1=0.9746412, acc5=0.99856466 .\n",
      "2022-06-02 11:08:50 [INFO]\t[TRAIN] Epoch 69 finished, loss=0.101889394, acc1=0.96507186, acc5=0.9980862 .\n",
      "2022-06-02 11:09:15 [INFO]\t[TRAIN] Epoch=70/420, Step=19/19, loss=0.141675, acc1=0.945455, acc5=0.981818, lr=0.002500, time_each_step=1.31s, eta=2:43:29\n",
      "2022-06-02 11:09:16 [INFO]\t[TRAIN] Epoch 70 finished, loss=0.090084635, acc1=0.97177035, acc5=0.99617225 .\n",
      "2022-06-02 11:09:16 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 11:09:32 [INFO]\t[EVAL] Finished, Epoch=70, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 11:09:33 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 11:09:33 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_70.\n",
      "2022-06-02 11:10:00 [INFO]\t[TRAIN] Epoch 71 finished, loss=0.07714414, acc1=0.9746412, acc5=0.99712926 .\n",
      "2022-06-02 11:10:25 [INFO]\t[TRAIN] Epoch 72 finished, loss=0.09065672, acc1=0.96842116, acc5=0.99712926 .\n",
      "2022-06-02 11:10:50 [INFO]\t[TRAIN] Epoch 73 finished, loss=0.10667328, acc1=0.96650726, acc5=0.99521536 .\n",
      "2022-06-02 11:11:16 [INFO]\t[TRAIN] Epoch 74 finished, loss=0.07388507, acc1=0.97655505, acc5=0.99712926 .\n",
      "2022-06-02 11:11:40 [INFO]\t[TRAIN] Epoch 75 finished, loss=0.084368244, acc1=0.972249, acc5=0.99808615 .\n",
      "2022-06-02 11:11:40 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 11:11:55 [INFO]\t[EVAL] Finished, Epoch=75, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 11:11:55 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 11:11:56 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_75.\n",
      "2022-06-02 11:12:22 [INFO]\t[TRAIN] Epoch 76 finished, loss=0.07579843, acc1=0.97177035, acc5=0.9990431 .\n",
      "2022-06-02 11:12:47 [INFO]\t[TRAIN] Epoch=77/420, Step=19/19, loss=0.073528, acc1=0.963636, acc5=1.000000, lr=0.000250, time_each_step=1.32s, eta=2:41:31\n",
      "2022-06-02 11:12:47 [INFO]\t[TRAIN] Epoch 77 finished, loss=0.076848686, acc1=0.97081345, acc5=0.99952155 .\n",
      "2022-06-02 11:13:14 [INFO]\t[TRAIN] Epoch 78 finished, loss=0.083208755, acc1=0.97416276, acc5=0.99712926 .\n",
      "2022-06-02 11:13:39 [INFO]\t[TRAIN] Epoch 79 finished, loss=0.08089174, acc1=0.96985644, acc5=0.99521536 .\n",
      "2022-06-02 11:14:04 [INFO]\t[TRAIN] Epoch 80 finished, loss=0.08273553, acc1=0.97224885, acc5=0.99808615 .\n",
      "2022-06-02 11:14:04 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 11:14:20 [INFO]\t[EVAL] Finished, Epoch=80, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 11:14:20 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 11:14:21 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_80.\n",
      "2022-06-02 11:14:46 [INFO]\t[TRAIN] Epoch 81 finished, loss=0.07725782, acc1=0.9727273, acc5=0.99856454 .\n",
      "2022-06-02 11:15:11 [INFO]\t[TRAIN] Epoch 82 finished, loss=0.0925463, acc1=0.96650714, acc5=0.99856454 .\n",
      "2022-06-02 11:15:37 [INFO]\t[TRAIN] Epoch 83 finished, loss=0.07438686, acc1=0.97751194, acc5=0.99808615 .\n",
      "2022-06-02 11:16:03 [INFO]\t[TRAIN] Epoch=84/420, Step=19/19, loss=0.096325, acc1=0.972727, acc5=1.000000, lr=0.000250, time_each_step=1.34s, eta=2:40:44\n",
      "2022-06-02 11:16:03 [INFO]\t[TRAIN] Epoch 84 finished, loss=0.07916548, acc1=0.97272724, acc5=0.99856454 .\n",
      "2022-06-02 11:16:28 [INFO]\t[TRAIN] Epoch 85 finished, loss=0.081648946, acc1=0.97177035, acc5=0.9966508 .\n",
      "2022-06-02 11:16:28 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 11:16:44 [INFO]\t[EVAL] Finished, Epoch=85, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 11:16:44 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 11:16:45 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_85.\n",
      "2022-06-02 11:17:09 [INFO]\t[TRAIN] Epoch 86 finished, loss=0.082188964, acc1=0.9727273, acc5=0.99617225 .\n",
      "2022-06-02 11:17:35 [INFO]\t[TRAIN] Epoch 87 finished, loss=0.07852941, acc1=0.9746411, acc5=0.99712914 .\n",
      "2022-06-02 11:18:01 [INFO]\t[TRAIN] Epoch 88 finished, loss=0.08439273, acc1=0.96985644, acc5=0.99617225 .\n",
      "2022-06-02 11:18:27 [INFO]\t[TRAIN] Epoch 89 finished, loss=0.07151813, acc1=0.9746412, acc5=0.99856454 .\n",
      "2022-06-02 11:18:53 [INFO]\t[TRAIN] Epoch 90 finished, loss=0.08876835, acc1=0.9712918, acc5=0.99712926 .\n",
      "2022-06-02 11:18:53 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 11:19:10 [INFO]\t[EVAL] Finished, Epoch=90, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 11:19:10 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 11:19:10 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_90.\n",
      "2022-06-02 11:19:36 [INFO]\t[TRAIN] Epoch=91/420, Step=19/19, loss=0.051633, acc1=0.963636, acc5=1.000000, lr=0.000250, time_each_step=1.33s, eta=2:37:6\n",
      "2022-06-02 11:19:36 [INFO]\t[TRAIN] Epoch 91 finished, loss=0.0724088, acc1=0.97511965, acc5=0.99808615 .\n",
      "2022-06-02 11:20:02 [INFO]\t[TRAIN] Epoch 92 finished, loss=0.09365597, acc1=0.96889955, acc5=0.9956938 .\n",
      "2022-06-02 11:20:28 [INFO]\t[TRAIN] Epoch 93 finished, loss=0.069780685, acc1=0.9736842, acc5=0.9990431 .\n",
      "2022-06-02 11:20:53 [INFO]\t[TRAIN] Epoch 94 finished, loss=0.06818613, acc1=0.97894746, acc5=0.99712914 .\n",
      "2022-06-02 11:21:20 [INFO]\t[TRAIN] Epoch 95 finished, loss=0.07498361, acc1=0.97320575, acc5=0.99856454 .\n",
      "2022-06-02 11:21:20 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 11:21:35 [INFO]\t[EVAL] Finished, Epoch=95, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 11:21:35 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 11:21:36 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_95.\n",
      "2022-06-02 11:22:01 [INFO]\t[TRAIN] Epoch 96 finished, loss=0.092889406, acc1=0.96842116, acc5=0.99617225 .\n",
      "2022-06-02 11:22:27 [INFO]\t[TRAIN] Epoch 97 finished, loss=0.08864922, acc1=0.97177035, acc5=0.9976077 .\n",
      "2022-06-02 11:22:52 [INFO]\t[TRAIN] Epoch=98/420, Step=19/19, loss=0.068714, acc1=0.981818, acc5=1.000000, lr=0.000250, time_each_step=1.35s, eta=2:34:9\n",
      "2022-06-02 11:22:52 [INFO]\t[TRAIN] Epoch 98 finished, loss=0.069374464, acc1=0.97846884, acc5=0.99856454 .\n",
      "2022-06-02 11:23:19 [INFO]\t[TRAIN] Epoch 99 finished, loss=0.081866145, acc1=0.9746413, acc5=0.99712926 .\n",
      "2022-06-02 11:23:46 [INFO]\t[TRAIN] Epoch 100 finished, loss=0.08314631, acc1=0.9712918, acc5=0.9966508 .\n",
      "2022-06-02 11:23:46 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 11:24:03 [INFO]\t[EVAL] Finished, Epoch=100, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 11:24:03 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 11:24:04 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_100.\n",
      "2022-06-02 11:24:28 [INFO]\t[TRAIN] Epoch 101 finished, loss=0.08832218, acc1=0.9703349, acc5=0.99617225 .\n",
      "2022-06-02 11:24:53 [INFO]\t[TRAIN] Epoch 102 finished, loss=0.08361938, acc1=0.9712918, acc5=0.9976077 .\n",
      "2022-06-02 11:25:18 [INFO]\t[TRAIN] Epoch 103 finished, loss=0.068681486, acc1=0.97511965, acc5=0.9990431 .\n",
      "2022-06-02 11:25:42 [INFO]\t[TRAIN] Epoch 104 finished, loss=0.072455935, acc1=0.97511965, acc5=0.99856454 .\n",
      "2022-06-02 11:26:07 [INFO]\t[TRAIN] Epoch=105/420, Step=19/19, loss=0.156120, acc1=0.936364, acc5=1.000000, lr=0.000250, time_each_step=1.32s, eta=2:29:52\n",
      "2022-06-02 11:26:07 [INFO]\t[TRAIN] Epoch 105 finished, loss=0.07774586, acc1=0.97511965, acc5=0.9976076 .\n",
      "2022-06-02 11:26:08 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 11:26:24 [INFO]\t[EVAL] Finished, Epoch=105, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 11:26:24 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 11:26:24 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_105.\n",
      "2022-06-02 11:26:50 [INFO]\t[TRAIN] Epoch 106 finished, loss=0.095025204, acc1=0.9665074, acc5=0.99712914 .\n",
      "2022-06-02 11:27:14 [INFO]\t[TRAIN] Epoch 107 finished, loss=0.081665866, acc1=0.9698564, acc5=0.99521536 .\n",
      "2022-06-02 11:27:41 [INFO]\t[TRAIN] Epoch 108 finished, loss=0.074275754, acc1=0.97655505, acc5=0.99712926 .\n",
      "2022-06-02 11:28:05 [INFO]\t[TRAIN] Epoch 109 finished, loss=0.09270548, acc1=0.96650726, acc5=0.99808615 .\n",
      "2022-06-02 11:28:31 [INFO]\t[TRAIN] Epoch 110 finished, loss=0.07221042, acc1=0.97511953, acc5=0.99808615 .\n",
      "2022-06-02 11:28:31 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 11:28:46 [INFO]\t[EVAL] Finished, Epoch=110, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 11:28:46 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 11:28:47 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_110.\n",
      "2022-06-02 11:29:10 [INFO]\t[TRAIN] Epoch 111 finished, loss=0.09363609, acc1=0.9660287, acc5=0.99712926 .\n",
      "2022-06-02 11:29:35 [INFO]\t[TRAIN] Epoch=112/420, Step=19/19, loss=0.101203, acc1=0.972727, acc5=0.990909, lr=0.000250, time_each_step=1.3s, eta=2:23:2\n",
      "2022-06-02 11:29:35 [INFO]\t[TRAIN] Epoch 112 finished, loss=0.07972246, acc1=0.9717702, acc5=0.99808615 .\n",
      "2022-06-02 11:30:01 [INFO]\t[TRAIN] Epoch 113 finished, loss=0.078038946, acc1=0.97416276, acc5=0.9966507 .\n",
      "2022-06-02 11:30:26 [INFO]\t[TRAIN] Epoch 114 finished, loss=0.089045785, acc1=0.96985644, acc5=0.99617225 .\n",
      "2022-06-02 11:30:52 [INFO]\t[TRAIN] Epoch 115 finished, loss=0.07723053, acc1=0.97511965, acc5=0.99856454 .\n",
      "2022-06-02 11:30:52 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 11:31:07 [INFO]\t[EVAL] Finished, Epoch=115, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 11:31:07 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 11:31:08 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_115.\n",
      "2022-06-02 11:31:34 [INFO]\t[TRAIN] Epoch 116 finished, loss=0.09242246, acc1=0.9669857, acc5=0.9976077 .\n",
      "2022-06-02 11:31:59 [INFO]\t[TRAIN] Epoch 117 finished, loss=0.06995664, acc1=0.976555, acc5=0.99808615 .\n",
      "2022-06-02 11:32:25 [INFO]\t[TRAIN] Epoch 118 finished, loss=0.07407839, acc1=0.97751194, acc5=0.9976077 .\n",
      "2022-06-02 11:32:49 [INFO]\t[TRAIN] Epoch=119/420, Step=19/19, loss=0.095671, acc1=0.972727, acc5=1.000000, lr=0.000250, time_each_step=1.34s, eta=2:22:47\n",
      "2022-06-02 11:32:50 [INFO]\t[TRAIN] Epoch 119 finished, loss=0.08700312, acc1=0.9746411, acc5=0.99521536 .\n",
      "2022-06-02 11:33:16 [INFO]\t[TRAIN] Epoch 120 finished, loss=0.07267962, acc1=0.97559816, acc5=0.9990431 .\n",
      "2022-06-02 11:33:16 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 11:33:31 [INFO]\t[EVAL] Finished, Epoch=120, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 11:33:31 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 11:33:32 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_120.\n",
      "2022-06-02 11:33:57 [INFO]\t[TRAIN] Epoch 121 finished, loss=0.07711113, acc1=0.975598, acc5=0.99856454 .\n",
      "2022-06-02 11:34:22 [INFO]\t[TRAIN] Epoch 122 finished, loss=0.08111933, acc1=0.975598, acc5=0.99712914 .\n",
      "2022-06-02 11:34:49 [INFO]\t[TRAIN] Epoch 123 finished, loss=0.07570712, acc1=0.97416264, acc5=0.99617225 .\n",
      "2022-06-02 11:35:14 [INFO]\t[TRAIN] Epoch 124 finished, loss=0.07048513, acc1=0.9755981, acc5=0.99952155 .\n",
      "2022-06-02 11:35:39 [INFO]\t[TRAIN] Epoch 125 finished, loss=0.083406225, acc1=0.9722488, acc5=0.9956938 .\n",
      "2022-06-02 11:35:39 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 11:35:55 [INFO]\t[EVAL] Finished, Epoch=125, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 11:35:55 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 11:35:55 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_125.\n",
      "2022-06-02 11:36:21 [INFO]\t[TRAIN] Epoch=126/420, Step=19/19, loss=0.046168, acc1=0.990909, acc5=1.000000, lr=0.000025, time_each_step=1.33s, eta=2:19:33\n",
      "2022-06-02 11:36:21 [INFO]\t[TRAIN] Epoch 126 finished, loss=0.07457248, acc1=0.9784691, acc5=0.99712914 .\n",
      "2022-06-02 11:36:45 [INFO]\t[TRAIN] Epoch 127 finished, loss=0.087385386, acc1=0.9693781, acc5=0.9956938 .\n",
      "2022-06-02 11:37:09 [INFO]\t[TRAIN] Epoch 128 finished, loss=0.08314879, acc1=0.9746413, acc5=0.99712926 .\n",
      "2022-06-02 11:37:33 [INFO]\t[TRAIN] Epoch 129 finished, loss=0.07234619, acc1=0.9803828, acc5=0.99712926 .\n",
      "2022-06-02 11:37:56 [INFO]\t[TRAIN] Epoch 130 finished, loss=0.08514526, acc1=0.97177035, acc5=0.99808615 .\n",
      "2022-06-02 11:37:56 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 11:38:12 [INFO]\t[EVAL] Finished, Epoch=130, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 11:38:12 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 11:38:12 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_130.\n",
      "2022-06-02 11:38:37 [INFO]\t[TRAIN] Epoch 131 finished, loss=0.0722754, acc1=0.97511965, acc5=0.9990431 .\n",
      "2022-06-02 11:39:00 [INFO]\t[TRAIN] Epoch 132 finished, loss=0.07966139, acc1=0.97320575, acc5=0.99808615 .\n",
      "2022-06-02 11:39:24 [INFO]\t[TRAIN] Epoch=133/420, Step=19/19, loss=0.105726, acc1=0.954545, acc5=1.000000, lr=0.000025, time_each_step=1.25s, eta=2:8:23\n",
      "2022-06-02 11:39:24 [INFO]\t[TRAIN] Epoch 133 finished, loss=0.09220436, acc1=0.9669857, acc5=0.99617225 .\n",
      "2022-06-02 11:39:48 [INFO]\t[TRAIN] Epoch 134 finished, loss=0.075293764, acc1=0.9775119, acc5=0.9976077 .\n",
      "2022-06-02 11:40:12 [INFO]\t[TRAIN] Epoch 135 finished, loss=0.079898566, acc1=0.9712918, acc5=0.99808615 .\n",
      "2022-06-02 11:40:12 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 11:40:27 [INFO]\t[EVAL] Finished, Epoch=135, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 11:40:27 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 11:40:28 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_135.\n",
      "2022-06-02 11:40:52 [INFO]\t[TRAIN] Epoch 136 finished, loss=0.07314962, acc1=0.96985656, acc5=0.9990431 .\n",
      "2022-06-02 11:41:17 [INFO]\t[TRAIN] Epoch 137 finished, loss=0.073797785, acc1=0.9770335, acc5=0.99856454 .\n",
      "2022-06-02 11:41:40 [INFO]\t[TRAIN] Epoch 138 finished, loss=0.08830386, acc1=0.96985656, acc5=0.9976077 .\n",
      "2022-06-02 11:42:04 [INFO]\t[TRAIN] Epoch 139 finished, loss=0.08369353, acc1=0.9727273, acc5=0.99617225 .\n",
      "2022-06-02 11:42:28 [INFO]\t[TRAIN] Epoch=140/420, Step=19/19, loss=0.023313, acc1=0.990909, acc5=1.000000, lr=0.000025, time_each_step=1.26s, eta=2:6:2\n",
      "2022-06-02 11:42:29 [INFO]\t[TRAIN] Epoch 140 finished, loss=0.07325901, acc1=0.9770336, acc5=0.99856454 .\n",
      "2022-06-02 11:42:29 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 11:42:44 [INFO]\t[EVAL] Finished, Epoch=140, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 11:42:44 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 11:42:44 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_140.\n",
      "2022-06-02 11:43:08 [INFO]\t[TRAIN] Epoch 141 finished, loss=0.07240188, acc1=0.9722488, acc5=0.9966507 .\n",
      "2022-06-02 11:43:32 [INFO]\t[TRAIN] Epoch 142 finished, loss=0.08571285, acc1=0.969378, acc5=0.9956938 .\n",
      "2022-06-02 11:43:56 [INFO]\t[TRAIN] Epoch 143 finished, loss=0.07105549, acc1=0.97942585, acc5=0.9966507 .\n",
      "2022-06-02 11:44:20 [INFO]\t[TRAIN] Epoch 144 finished, loss=0.06833142, acc1=0.9789474, acc5=0.9976077 .\n",
      "2022-06-02 11:44:44 [INFO]\t[TRAIN] Epoch 145 finished, loss=0.074437544, acc1=0.9746412, acc5=0.9976077 .\n",
      "2022-06-02 11:44:44 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 11:44:59 [INFO]\t[EVAL] Finished, Epoch=145, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 11:44:59 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 11:44:59 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_145.\n",
      "2022-06-02 11:45:24 [INFO]\t[TRAIN] Epoch 146 finished, loss=0.09600364, acc1=0.96985644, acc5=0.99808615 .\n",
      "2022-06-02 11:45:47 [INFO]\t[TRAIN] Epoch=147/420, Step=19/19, loss=0.074046, acc1=0.972727, acc5=0.990909, lr=0.000025, time_each_step=1.25s, eta=2:1:51\n",
      "2022-06-02 11:45:47 [INFO]\t[TRAIN] Epoch 147 finished, loss=0.08357182, acc1=0.9722488, acc5=0.99712926 .\n",
      "2022-06-02 11:46:11 [INFO]\t[TRAIN] Epoch 148 finished, loss=0.07792722, acc1=0.97511965, acc5=0.99617225 .\n",
      "2022-06-02 11:46:35 [INFO]\t[TRAIN] Epoch 149 finished, loss=0.08563026, acc1=0.97177047, acc5=0.99617225 .\n",
      "2022-06-02 11:47:00 [INFO]\t[TRAIN] Epoch 150 finished, loss=0.08674614, acc1=0.96937793, acc5=0.9956938 .\n",
      "2022-06-02 11:47:00 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 11:47:15 [INFO]\t[EVAL] Finished, Epoch=150, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 11:47:15 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 11:47:16 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_150.\n",
      "2022-06-02 11:47:40 [INFO]\t[TRAIN] Epoch 151 finished, loss=0.09078168, acc1=0.96985644, acc5=0.99521536 .\n",
      "2022-06-02 11:48:04 [INFO]\t[TRAIN] Epoch 152 finished, loss=0.06605863, acc1=0.97751194, acc5=0.9990431 .\n",
      "2022-06-02 11:48:29 [INFO]\t[TRAIN] Epoch 153 finished, loss=0.08901507, acc1=0.9669856, acc5=0.9976077 .\n",
      "2022-06-02 11:48:54 [INFO]\t[TRAIN] Epoch=154/420, Step=19/19, loss=0.112178, acc1=0.972727, acc5=1.000000, lr=0.000025, time_each_step=1.27s, eta=2:1:12\n",
      "2022-06-02 11:48:54 [INFO]\t[TRAIN] Epoch 154 finished, loss=0.08375366, acc1=0.9746411, acc5=0.9956938 .\n",
      "2022-06-02 11:49:18 [INFO]\t[TRAIN] Epoch 155 finished, loss=0.08348729, acc1=0.9679426, acc5=0.9966507 .\n",
      "2022-06-02 11:49:18 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 11:49:34 [INFO]\t[EVAL] Finished, Epoch=155, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 11:49:34 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 11:49:34 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_155.\n",
      "2022-06-02 11:49:59 [INFO]\t[TRAIN] Epoch 156 finished, loss=0.085259184, acc1=0.9727273, acc5=0.99712926 .\n",
      "2022-06-02 11:50:23 [INFO]\t[TRAIN] Epoch 157 finished, loss=0.08831507, acc1=0.9688995, acc5=0.99712914 .\n",
      "2022-06-02 11:50:47 [INFO]\t[TRAIN] Epoch 158 finished, loss=0.074239105, acc1=0.9746412, acc5=0.99952155 .\n",
      "2022-06-02 11:51:10 [INFO]\t[TRAIN] Epoch 159 finished, loss=0.08035977, acc1=0.9684212, acc5=0.9990431 .\n",
      "2022-06-02 11:51:35 [INFO]\t[TRAIN] Epoch 160 finished, loss=0.08735954, acc1=0.96842104, acc5=0.9966507 .\n",
      "2022-06-02 11:51:35 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 11:51:49 [INFO]\t[EVAL] Finished, Epoch=160, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 11:51:49 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 11:51:50 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_160.\n",
      "2022-06-02 11:52:15 [INFO]\t[TRAIN] Epoch=161/420, Step=19/19, loss=0.061812, acc1=0.981818, acc5=1.000000, lr=0.000025, time_each_step=1.27s, eta=1:56:39\n",
      "2022-06-02 11:52:15 [INFO]\t[TRAIN] Epoch 161 finished, loss=0.07178304, acc1=0.97320575, acc5=0.9990431 .\n",
      "2022-06-02 11:52:39 [INFO]\t[TRAIN] Epoch 162 finished, loss=0.09105306, acc1=0.967464, acc5=0.99712926 .\n",
      "2022-06-02 11:53:04 [INFO]\t[TRAIN] Epoch 163 finished, loss=0.07606067, acc1=0.97655517, acc5=0.9976077 .\n",
      "2022-06-02 11:53:28 [INFO]\t[TRAIN] Epoch 164 finished, loss=0.09866759, acc1=0.96842116, acc5=0.9956938 .\n",
      "2022-06-02 11:53:53 [INFO]\t[TRAIN] Epoch 165 finished, loss=0.076952726, acc1=0.97751206, acc5=0.99712926 .\n",
      "2022-06-02 11:53:53 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 11:54:09 [INFO]\t[EVAL] Finished, Epoch=165, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 11:54:09 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 11:54:09 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_165.\n",
      "2022-06-02 11:54:33 [INFO]\t[TRAIN] Epoch 166 finished, loss=0.09572491, acc1=0.9693781, acc5=0.9956938 .\n",
      "2022-06-02 11:54:57 [INFO]\t[TRAIN] Epoch 167 finished, loss=0.07380527, acc1=0.97511953, acc5=0.99808615 .\n",
      "2022-06-02 11:55:21 [INFO]\t[TRAIN] Epoch=168/420, Step=19/19, loss=0.152193, acc1=0.954545, acc5=0.990909, lr=0.000003, time_each_step=1.27s, eta=1:54:57\n",
      "2022-06-02 11:55:21 [INFO]\t[TRAIN] Epoch 168 finished, loss=0.08478111, acc1=0.97081333, acc5=0.9966507 .\n",
      "2022-06-02 11:55:45 [INFO]\t[TRAIN] Epoch 169 finished, loss=0.08906394, acc1=0.969378, acc5=0.9976077 .\n",
      "2022-06-02 11:56:08 [INFO]\t[TRAIN] Epoch 170 finished, loss=0.08837271, acc1=0.97081333, acc5=0.99425846 .\n",
      "2022-06-02 11:56:08 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 11:56:23 [INFO]\t[EVAL] Finished, Epoch=170, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 11:56:23 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 11:56:24 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_170.\n",
      "2022-06-02 11:56:48 [INFO]\t[TRAIN] Epoch 171 finished, loss=0.07705483, acc1=0.9736843, acc5=0.9966507 .\n",
      "2022-06-02 11:57:10 [INFO]\t[TRAIN] Epoch 172 finished, loss=0.07688154, acc1=0.97177047, acc5=0.99521536 .\n",
      "2022-06-02 11:57:34 [INFO]\t[TRAIN] Epoch 173 finished, loss=0.077140465, acc1=0.97607654, acc5=0.9966507 .\n",
      "2022-06-02 11:57:58 [INFO]\t[TRAIN] Epoch 174 finished, loss=0.10046342, acc1=0.96411484, acc5=0.99521536 .\n",
      "2022-06-02 11:58:23 [INFO]\t[TRAIN] Epoch=175/420, Step=19/19, loss=0.081907, acc1=0.963636, acc5=1.000000, lr=0.000003, time_each_step=1.24s, eta=1:48:19\n",
      "2022-06-02 11:58:23 [INFO]\t[TRAIN] Epoch 175 finished, loss=0.071630895, acc1=0.9794259, acc5=0.99856466 .\n",
      "2022-06-02 11:58:23 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 11:58:38 [INFO]\t[EVAL] Finished, Epoch=175, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 11:58:38 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 11:58:38 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_175.\n",
      "2022-06-02 11:59:02 [INFO]\t[TRAIN] Epoch 176 finished, loss=0.07834407, acc1=0.97320575, acc5=0.9976077 .\n",
      "2022-06-02 11:59:26 [INFO]\t[TRAIN] Epoch 177 finished, loss=0.08148875, acc1=0.9688995, acc5=0.9980862 .\n",
      "2022-06-02 11:59:50 [INFO]\t[TRAIN] Epoch 178 finished, loss=0.0788894, acc1=0.97655505, acc5=0.99712914 .\n",
      "2022-06-02 12:00:14 [INFO]\t[TRAIN] Epoch 179 finished, loss=0.07738969, acc1=0.9746412, acc5=0.9976077 .\n",
      "2022-06-02 12:00:38 [INFO]\t[TRAIN] Epoch 180 finished, loss=0.07207404, acc1=0.9779905, acc5=0.99617225 .\n",
      "2022-06-02 12:00:38 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 12:00:53 [INFO]\t[EVAL] Finished, Epoch=180, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 12:00:53 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 12:00:54 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_180.\n",
      "2022-06-02 12:01:17 [INFO]\t[TRAIN] Epoch 181 finished, loss=0.09140535, acc1=0.9698564, acc5=0.9976077 .\n",
      "2022-06-02 12:01:41 [INFO]\t[TRAIN] Epoch=182/420, Step=19/19, loss=0.013654, acc1=1.000000, acc5=1.000000, lr=0.000003, time_each_step=1.25s, eta=1:46:29\n",
      "2022-06-02 12:01:41 [INFO]\t[TRAIN] Epoch 182 finished, loss=0.08800975, acc1=0.970335, acc5=0.99617225 .\n",
      "2022-06-02 12:02:05 [INFO]\t[TRAIN] Epoch 183 finished, loss=0.06788663, acc1=0.9760766, acc5=0.9976077 .\n",
      "2022-06-02 12:02:29 [INFO]\t[TRAIN] Epoch 184 finished, loss=0.0840878, acc1=0.97224885, acc5=0.99808615 .\n",
      "2022-06-02 12:02:53 [INFO]\t[TRAIN] Epoch 185 finished, loss=0.078277424, acc1=0.97224885, acc5=0.9976077 .\n",
      "2022-06-02 12:02:53 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 12:03:08 [INFO]\t[EVAL] Finished, Epoch=185, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 12:03:08 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 12:03:09 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_185.\n",
      "2022-06-02 12:03:33 [INFO]\t[TRAIN] Epoch 186 finished, loss=0.07997636, acc1=0.97177035, acc5=0.9966508 .\n",
      "2022-06-02 12:03:57 [INFO]\t[TRAIN] Epoch 187 finished, loss=0.08169098, acc1=0.9736842, acc5=0.9976077 .\n",
      "2022-06-02 12:04:21 [INFO]\t[TRAIN] Epoch 188 finished, loss=0.07474365, acc1=0.9755981, acc5=0.99712926 .\n",
      "2022-06-02 12:04:45 [INFO]\t[TRAIN] Epoch=189/420, Step=19/19, loss=0.026168, acc1=0.990909, acc5=1.000000, lr=0.000003, time_each_step=1.26s, eta=1:43:50\n",
      "2022-06-02 12:04:45 [INFO]\t[TRAIN] Epoch 189 finished, loss=0.09932927, acc1=0.96555024, acc5=0.99617225 .\n",
      "2022-06-02 12:05:09 [INFO]\t[TRAIN] Epoch 190 finished, loss=0.085300855, acc1=0.9679426, acc5=0.99712914 .\n",
      "2022-06-02 12:05:10 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 12:05:24 [INFO]\t[EVAL] Finished, Epoch=190, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 12:05:24 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 12:05:25 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_190.\n",
      "2022-06-02 12:05:49 [INFO]\t[TRAIN] Epoch 191 finished, loss=0.080445945, acc1=0.9755981, acc5=0.99856466 .\n",
      "2022-06-02 12:06:13 [INFO]\t[TRAIN] Epoch 192 finished, loss=0.07557297, acc1=0.9732057, acc5=0.9976077 .\n",
      "2022-06-02 12:06:37 [INFO]\t[TRAIN] Epoch 193 finished, loss=0.08554072, acc1=0.969378, acc5=0.9966508 .\n",
      "2022-06-02 12:07:01 [INFO]\t[TRAIN] Epoch 194 finished, loss=0.094255045, acc1=0.97081345, acc5=0.9942584 .\n",
      "2022-06-02 12:07:25 [INFO]\t[TRAIN] Epoch 195 finished, loss=0.072963215, acc1=0.9741629, acc5=0.99617225 .\n",
      "2022-06-02 12:07:25 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 12:07:40 [INFO]\t[EVAL] Finished, Epoch=195, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 12:07:40 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 12:07:41 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_195.\n",
      "2022-06-02 12:08:05 [INFO]\t[TRAIN] Epoch=196/420, Step=19/19, loss=0.024562, acc1=1.000000, acc5=1.000000, lr=0.000003, time_each_step=1.26s, eta=1:40:30\n",
      "2022-06-02 12:08:05 [INFO]\t[TRAIN] Epoch 196 finished, loss=0.08102963, acc1=0.97272724, acc5=0.9966508 .\n",
      "2022-06-02 12:08:29 [INFO]\t[TRAIN] Epoch 197 finished, loss=0.066303864, acc1=0.9789474, acc5=0.9990431 .\n",
      "2022-06-02 12:08:53 [INFO]\t[TRAIN] Epoch 198 finished, loss=0.082018025, acc1=0.97081333, acc5=0.9976077 .\n",
      "2022-06-02 12:09:17 [INFO]\t[TRAIN] Epoch 199 finished, loss=0.07868232, acc1=0.9736842, acc5=0.99856454 .\n",
      "2022-06-02 12:09:41 [INFO]\t[TRAIN] Epoch 200 finished, loss=0.06823925, acc1=0.97511977, acc5=0.9966507 .\n",
      "2022-06-02 12:09:41 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 12:09:56 [INFO]\t[EVAL] Finished, Epoch=200, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 12:09:56 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 12:09:56 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_200.\n",
      "2022-06-02 12:10:21 [INFO]\t[TRAIN] Epoch 201 finished, loss=0.0794613, acc1=0.9755981, acc5=0.99712914 .\n",
      "2022-06-02 12:10:44 [INFO]\t[TRAIN] Epoch 202 finished, loss=0.0741587, acc1=0.9712918, acc5=0.9990431 .\n",
      "2022-06-02 12:11:08 [INFO]\t[TRAIN] Epoch=203/420, Step=19/19, loss=0.068910, acc1=0.963636, acc5=1.000000, lr=0.000003, time_each_step=1.25s, eta=1:36:51\n",
      "2022-06-02 12:11:08 [INFO]\t[TRAIN] Epoch 203 finished, loss=0.08233148, acc1=0.9727273, acc5=0.9976077 .\n",
      "2022-06-02 12:11:31 [INFO]\t[TRAIN] Epoch 204 finished, loss=0.07653245, acc1=0.9746411, acc5=0.99712914 .\n",
      "2022-06-02 12:11:55 [INFO]\t[TRAIN] Epoch 205 finished, loss=0.07619261, acc1=0.9727273, acc5=0.99856454 .\n",
      "2022-06-02 12:11:55 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 12:12:10 [INFO]\t[EVAL] Finished, Epoch=205, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 12:12:10 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 12:12:11 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_205.\n",
      "2022-06-02 12:12:34 [INFO]\t[TRAIN] Epoch 206 finished, loss=0.076782346, acc1=0.97272724, acc5=0.99952155 .\n",
      "2022-06-02 12:12:59 [INFO]\t[TRAIN] Epoch 207 finished, loss=0.06473619, acc1=0.9779904, acc5=0.99856454 .\n",
      "2022-06-02 12:13:23 [INFO]\t[TRAIN] Epoch 208 finished, loss=0.08874666, acc1=0.97320575, acc5=0.9942584 .\n",
      "2022-06-02 12:13:46 [INFO]\t[TRAIN] Epoch 209 finished, loss=0.07160385, acc1=0.97511965, acc5=0.99952155 .\n",
      "2022-06-02 12:14:10 [INFO]\t[TRAIN] Epoch=210/420, Step=19/19, loss=0.066473, acc1=0.981818, acc5=1.000000, lr=0.000003, time_each_step=1.25s, eta=1:33:22\n",
      "2022-06-02 12:14:10 [INFO]\t[TRAIN] Epoch 210 finished, loss=0.08237405, acc1=0.97224885, acc5=0.99808615 .\n",
      "2022-06-02 12:14:10 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 12:14:25 [INFO]\t[EVAL] Finished, Epoch=210, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 12:14:25 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 12:14:26 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_210.\n",
      "2022-06-02 12:14:49 [INFO]\t[TRAIN] Epoch 211 finished, loss=0.08239979, acc1=0.97177035, acc5=0.9976077 .\n",
      "2022-06-02 12:15:13 [INFO]\t[TRAIN] Epoch 212 finished, loss=0.081090376, acc1=0.9727273, acc5=0.9956938 .\n",
      "2022-06-02 12:15:37 [INFO]\t[TRAIN] Epoch 213 finished, loss=0.08437305, acc1=0.9722487, acc5=0.9976077 .\n",
      "2022-06-02 12:16:01 [INFO]\t[TRAIN] Epoch 214 finished, loss=0.07304699, acc1=0.9779904, acc5=0.9976077 .\n",
      "2022-06-02 12:16:25 [INFO]\t[TRAIN] Epoch 215 finished, loss=0.07332332, acc1=0.97559816, acc5=0.99521536 .\n",
      "2022-06-02 12:16:25 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 12:16:40 [INFO]\t[EVAL] Finished, Epoch=215, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 12:16:40 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 12:16:40 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_215.\n",
      "2022-06-02 12:17:04 [INFO]\t[TRAIN] Epoch 216 finished, loss=0.09687395, acc1=0.9660287, acc5=0.99521536 .\n",
      "2022-06-02 12:17:27 [INFO]\t[TRAIN] Epoch=217/420, Step=19/19, loss=0.171635, acc1=0.945455, acc5=0.990909, lr=0.000000, time_each_step=1.24s, eta=1:29:56\n",
      "2022-06-02 12:17:27 [INFO]\t[TRAIN] Epoch 217 finished, loss=0.08038444, acc1=0.9746411, acc5=0.99856466 .\n",
      "2022-06-02 12:17:51 [INFO]\t[TRAIN] Epoch 218 finished, loss=0.085572384, acc1=0.96842104, acc5=0.9966507 .\n",
      "2022-06-02 12:18:15 [INFO]\t[TRAIN] Epoch 219 finished, loss=0.079738624, acc1=0.97320575, acc5=0.9976077 .\n",
      "2022-06-02 12:18:40 [INFO]\t[TRAIN] Epoch 220 finished, loss=0.08591612, acc1=0.97081333, acc5=0.9976077 .\n",
      "2022-06-02 12:18:40 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 12:18:55 [INFO]\t[EVAL] Finished, Epoch=220, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 12:18:55 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 12:18:55 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_220.\n",
      "2022-06-02 12:19:19 [INFO]\t[TRAIN] Epoch 221 finished, loss=0.07860431, acc1=0.9746412, acc5=0.9976077 .\n",
      "2022-06-02 12:19:44 [INFO]\t[TRAIN] Epoch 222 finished, loss=0.082600765, acc1=0.9746411, acc5=0.99712926 .\n",
      "2022-06-02 12:20:08 [INFO]\t[TRAIN] Epoch 223 finished, loss=0.089634836, acc1=0.96985644, acc5=0.9966507 .\n",
      "2022-06-02 12:20:31 [INFO]\t[TRAIN] Epoch=224/420, Step=19/19, loss=0.067819, acc1=0.981818, acc5=0.990909, lr=0.000000, time_each_step=1.26s, eta=1:28:6\n",
      "2022-06-02 12:20:31 [INFO]\t[TRAIN] Epoch 224 finished, loss=0.08145463, acc1=0.9770335, acc5=0.9956938 .\n",
      "2022-06-02 12:20:55 [INFO]\t[TRAIN] Epoch 225 finished, loss=0.08264188, acc1=0.9736843, acc5=0.99712914 .\n",
      "2022-06-02 12:20:56 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 12:21:11 [INFO]\t[EVAL] Finished, Epoch=225, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 12:21:11 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 12:21:11 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_225.\n",
      "2022-06-02 12:21:35 [INFO]\t[TRAIN] Epoch 226 finished, loss=0.08553159, acc1=0.9688995, acc5=0.9966507 .\n",
      "2022-06-02 12:21:59 [INFO]\t[TRAIN] Epoch 227 finished, loss=0.08118873, acc1=0.97081345, acc5=0.9976077 .\n",
      "2022-06-02 12:22:22 [INFO]\t[TRAIN] Epoch 228 finished, loss=0.08562093, acc1=0.9712919, acc5=0.99808615 .\n",
      "2022-06-02 12:22:46 [INFO]\t[TRAIN] Epoch 229 finished, loss=0.07518546, acc1=0.97416276, acc5=0.99856454 .\n",
      "2022-06-02 12:23:10 [INFO]\t[TRAIN] Epoch 230 finished, loss=0.07897224, acc1=0.97272724, acc5=0.99712914 .\n",
      "2022-06-02 12:23:10 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 12:23:25 [INFO]\t[EVAL] Finished, Epoch=230, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 12:23:25 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 12:23:25 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_230.\n",
      "2022-06-02 12:23:49 [INFO]\t[TRAIN] Epoch=231/420, Step=19/19, loss=0.061232, acc1=0.990909, acc5=1.000000, lr=0.000000, time_each_step=1.24s, eta=1:23:43\n",
      "2022-06-02 12:23:49 [INFO]\t[TRAIN] Epoch 231 finished, loss=0.083713435, acc1=0.97177035, acc5=0.99617225 .\n",
      "2022-06-02 12:24:13 [INFO]\t[TRAIN] Epoch 232 finished, loss=0.08957531, acc1=0.9669857, acc5=0.9966507 .\n",
      "2022-06-02 12:24:36 [INFO]\t[TRAIN] Epoch 233 finished, loss=0.082391456, acc1=0.9746412, acc5=0.99808615 .\n",
      "2022-06-02 12:25:01 [INFO]\t[TRAIN] Epoch 234 finished, loss=0.071511865, acc1=0.9794259, acc5=0.9947369 .\n",
      "2022-06-02 12:25:25 [INFO]\t[TRAIN] Epoch 235 finished, loss=0.08848334, acc1=0.96842104, acc5=0.99617225 .\n",
      "2022-06-02 12:25:25 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 12:25:39 [INFO]\t[EVAL] Finished, Epoch=235, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 12:25:39 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 12:25:40 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_235.\n",
      "2022-06-02 12:26:04 [INFO]\t[TRAIN] Epoch 236 finished, loss=0.07778084, acc1=0.9727273, acc5=0.99617225 .\n",
      "2022-06-02 12:26:28 [INFO]\t[TRAIN] Epoch 237 finished, loss=0.08335408, acc1=0.9698564, acc5=0.99617225 .\n",
      "2022-06-02 12:26:52 [INFO]\t[TRAIN] Epoch=238/420, Step=19/19, loss=0.053783, acc1=0.990909, acc5=1.000000, lr=0.000000, time_each_step=1.26s, eta=1:21:19\n",
      "2022-06-02 12:26:52 [INFO]\t[TRAIN] Epoch 238 finished, loss=0.07989743, acc1=0.9746412, acc5=0.9966507 .\n",
      "2022-06-02 12:27:16 [INFO]\t[TRAIN] Epoch 239 finished, loss=0.08791518, acc1=0.9688995, acc5=0.99617225 .\n",
      "2022-06-02 12:27:40 [INFO]\t[TRAIN] Epoch 240 finished, loss=0.07807797, acc1=0.97416276, acc5=0.9976077 .\n",
      "2022-06-02 12:27:40 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 12:27:55 [INFO]\t[EVAL] Finished, Epoch=240, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 12:27:55 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 12:27:56 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_240.\n",
      "2022-06-02 12:28:20 [INFO]\t[TRAIN] Epoch 241 finished, loss=0.06808059, acc1=0.97751194, acc5=0.9976077 .\n",
      "2022-06-02 12:28:43 [INFO]\t[TRAIN] Epoch 242 finished, loss=0.078629114, acc1=0.97320575, acc5=0.99808615 .\n",
      "2022-06-02 12:29:07 [INFO]\t[TRAIN] Epoch 243 finished, loss=0.07221859, acc1=0.9794259, acc5=0.99856466 .\n",
      "2022-06-02 12:29:31 [INFO]\t[TRAIN] Epoch 244 finished, loss=0.09345317, acc1=0.9669857, acc5=0.99712914 .\n",
      "2022-06-02 12:29:54 [INFO]\t[TRAIN] Epoch=245/420, Step=19/19, loss=0.071441, acc1=0.990909, acc5=0.990909, lr=0.000000, time_each_step=1.25s, eta=1:17:44\n",
      "2022-06-02 12:29:54 [INFO]\t[TRAIN] Epoch 245 finished, loss=0.06934127, acc1=0.97751194, acc5=0.9976077 .\n",
      "2022-06-02 12:29:55 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 12:30:09 [INFO]\t[EVAL] Finished, Epoch=245, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 12:30:09 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 12:30:10 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_245.\n",
      "2022-06-02 12:30:34 [INFO]\t[TRAIN] Epoch 246 finished, loss=0.088410586, acc1=0.97081333, acc5=0.99617225 .\n",
      "2022-06-02 12:30:58 [INFO]\t[TRAIN] Epoch 247 finished, loss=0.07629606, acc1=0.97655505, acc5=0.99617225 .\n",
      "2022-06-02 12:31:21 [INFO]\t[TRAIN] Epoch 248 finished, loss=0.074882366, acc1=0.97416276, acc5=0.9976077 .\n",
      "2022-06-02 12:31:45 [INFO]\t[TRAIN] Epoch 249 finished, loss=0.063153684, acc1=0.9794259, acc5=0.99856466 .\n",
      "2022-06-02 12:32:09 [INFO]\t[TRAIN] Epoch 250 finished, loss=0.08737021, acc1=0.97224885, acc5=0.99712926 .\n",
      "2022-06-02 12:32:09 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 12:32:25 [INFO]\t[EVAL] Finished, Epoch=250, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 12:32:25 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 12:32:25 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_250.\n",
      "2022-06-02 12:32:49 [INFO]\t[TRAIN] Epoch 251 finished, loss=0.092279576, acc1=0.9712918, acc5=0.99617225 .\n",
      "2022-06-02 12:33:13 [INFO]\t[TRAIN] Epoch=252/420, Step=19/19, loss=0.105175, acc1=0.963636, acc5=0.990909, lr=0.000000, time_each_step=1.25s, eta=1:15:20\n",
      "2022-06-02 12:33:13 [INFO]\t[TRAIN] Epoch 252 finished, loss=0.07620521, acc1=0.97511965, acc5=0.99856466 .\n",
      "2022-06-02 12:33:38 [INFO]\t[TRAIN] Epoch 253 finished, loss=0.0673437, acc1=0.97607654, acc5=0.99712926 .\n",
      "2022-06-02 12:34:01 [INFO]\t[TRAIN] Epoch 254 finished, loss=0.093020074, acc1=0.969378, acc5=0.99712914 .\n",
      "2022-06-02 12:34:25 [INFO]\t[TRAIN] Epoch 255 finished, loss=0.08810244, acc1=0.969378, acc5=0.99712926 .\n",
      "2022-06-02 12:34:25 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 12:34:40 [INFO]\t[EVAL] Finished, Epoch=255, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 12:34:40 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 12:34:41 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_255.\n",
      "2022-06-02 12:35:05 [INFO]\t[TRAIN] Epoch 256 finished, loss=0.08650421, acc1=0.970335, acc5=0.99521536 .\n",
      "2022-06-02 12:35:29 [INFO]\t[TRAIN] Epoch 257 finished, loss=0.07831895, acc1=0.97177047, acc5=0.9990431 .\n",
      "2022-06-02 12:35:53 [INFO]\t[TRAIN] Epoch 258 finished, loss=0.075653136, acc1=0.9727273, acc5=0.99808615 .\n",
      "2022-06-02 12:36:17 [INFO]\t[TRAIN] Epoch=259/420, Step=19/19, loss=0.116985, acc1=0.972727, acc5=1.000000, lr=0.000000, time_each_step=1.25s, eta=1:12:26\n",
      "2022-06-02 12:36:17 [INFO]\t[TRAIN] Epoch 259 finished, loss=0.07642705, acc1=0.97607654, acc5=0.9990431 .\n",
      "2022-06-02 12:36:41 [INFO]\t[TRAIN] Epoch 260 finished, loss=0.06505463, acc1=0.97846895, acc5=0.9990431 .\n",
      "2022-06-02 12:36:41 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 12:36:56 [INFO]\t[EVAL] Finished, Epoch=260, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 12:36:56 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 12:36:56 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_260.\n",
      "2022-06-02 12:37:20 [INFO]\t[TRAIN] Epoch 261 finished, loss=0.07002882, acc1=0.9755981, acc5=0.9966507 .\n",
      "2022-06-02 12:37:44 [INFO]\t[TRAIN] Epoch 262 finished, loss=0.09922546, acc1=0.96650714, acc5=0.99521536 .\n",
      "2022-06-02 12:38:08 [INFO]\t[TRAIN] Epoch 263 finished, loss=0.08020783, acc1=0.9727273, acc5=0.99521536 .\n",
      "2022-06-02 12:38:32 [INFO]\t[TRAIN] Epoch 264 finished, loss=0.07560694, acc1=0.97272724, acc5=0.99617225 .\n",
      "2022-06-02 12:38:57 [INFO]\t[TRAIN] Epoch 265 finished, loss=0.06874702, acc1=0.97751206, acc5=0.99856454 .\n",
      "2022-06-02 12:38:57 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 12:39:11 [INFO]\t[EVAL] Finished, Epoch=265, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 12:39:11 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 12:39:12 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_265.\n",
      "2022-06-02 12:39:35 [INFO]\t[TRAIN] Epoch=266/420, Step=19/19, loss=0.055657, acc1=0.981818, acc5=1.000000, lr=0.000000, time_each_step=1.25s, eta=1:8:33\n",
      "2022-06-02 12:39:35 [INFO]\t[TRAIN] Epoch 266 finished, loss=0.07601135, acc1=0.97559816, acc5=0.99712914 .\n",
      "2022-06-02 12:40:00 [INFO]\t[TRAIN] Epoch 267 finished, loss=0.07748024, acc1=0.97320575, acc5=0.99712926 .\n",
      "2022-06-02 12:40:23 [INFO]\t[TRAIN] Epoch 268 finished, loss=0.09358929, acc1=0.9669857, acc5=0.9956938 .\n",
      "2022-06-02 12:40:47 [INFO]\t[TRAIN] Epoch 269 finished, loss=0.07033805, acc1=0.97751194, acc5=0.99856454 .\n",
      "2022-06-02 12:41:11 [INFO]\t[TRAIN] Epoch 270 finished, loss=0.090630665, acc1=0.97177035, acc5=0.99617225 .\n",
      "2022-06-02 12:41:11 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 12:41:26 [INFO]\t[EVAL] Finished, Epoch=270, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 12:41:26 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 12:41:27 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_270.\n",
      "2022-06-02 12:41:50 [INFO]\t[TRAIN] Epoch 271 finished, loss=0.10659021, acc1=0.9645932, acc5=0.99473685 .\n",
      "2022-06-02 12:42:15 [INFO]\t[TRAIN] Epoch 272 finished, loss=0.07751016, acc1=0.97224885, acc5=0.99808615 .\n",
      "2022-06-02 12:42:38 [INFO]\t[TRAIN] Epoch=273/420, Step=19/19, loss=0.079741, acc1=0.972727, acc5=0.990909, lr=0.000000, time_each_step=1.25s, eta=1:5:46\n",
      "2022-06-02 12:42:38 [INFO]\t[TRAIN] Epoch 273 finished, loss=0.08564439, acc1=0.97177035, acc5=0.9956938 .\n",
      "2022-06-02 12:43:02 [INFO]\t[TRAIN] Epoch 274 finished, loss=0.083863, acc1=0.97081333, acc5=0.99808615 .\n",
      "2022-06-02 12:43:26 [INFO]\t[TRAIN] Epoch 275 finished, loss=0.08467593, acc1=0.9736843, acc5=0.9966507 .\n",
      "2022-06-02 12:43:26 [INFO]\tStart to evaluate(total_samples=2160, total_steps=20)...\n",
      "2022-06-02 12:43:41 [INFO]\t[EVAL] Finished, Epoch=275, acc1=1.000000, acc5=1.000000 .\n",
      "2022-06-02 12:43:41 [INFO]\tCurrent evaluated best model on eval_dataset is epoch_45, acc1=1.0\n",
      "2022-06-02 12:43:41 [INFO]\tModel saved in output/ResNet50_vd_ssld/epoch_275.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Exception in thread Thread-337:\n",
      "Traceback (most recent call last):\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/threading.py\", line 926, in _bootstrap_inner\n",
      "    self.run()\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/threading.py\", line 870, in run\n",
      "    self._target(*self._args, **self._kwargs)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dataloader/dataloader_iter.py\", line 530, in _thread_loop\n",
      "    batch = self._get_data()\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dataloader/dataloader_iter.py\", line 667, in _get_data\n",
      "    batch.reraise()\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dataloader/worker.py\", line 169, in reraise\n",
      "    raise self.exc_type(msg)\n",
      "ValueError: DataLoader worker(0) caught ValueError with message:\n",
      "Traceback (most recent call last):\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlex/cv/transforms/operators.py\", line 156, in apply_im\n",
      "    image = self.read_img(im_path)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlex/cv/transforms/operators.py\", line 151, in read_img\n",
      "    cv2.IMREAD_COLOR)\n",
      "KeyboardInterrupt\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dataloader/worker.py\", line 329, in _worker_loop\n",
      "    batch = fetcher.fetch(indices)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dataloader/fetcher.py\", line 121, in fetch\n",
      "    data.append(self.dataset[idx])\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlex/cv/datasets/imagenet.py\", line 83, in __getitem__\n",
      "    outputs = self.transforms(sample)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlex/cv/transforms/operators.py\", line 119, in __call__\n",
      "    sample = self.decode_image(sample)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlex/cv/transforms/operators.py\", line 82, in __call__\n",
      "    sample = self.apply(sample)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlex/cv/transforms/operators.py\", line 189, in apply\n",
      "    sample['image'] = self.apply_im(sample['image'])\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlex/cv/transforms/operators.py\", line 159, in apply_im\n",
      "    im_path))\n",
      "ValueError: Cannot read the image file data/data10954/cat_12_train/UZhO4nLeKoPdcQRslqzW0V6F92AMIXb7.jpg!\n",
      "\n",
      "\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m/tmp/ipykernel_188/4281267634.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     18\u001b[0m     \u001b[0;31m#若为None，则不使用预训练模型。默认为'IMAGENET'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     19\u001b[0m     \u001b[0msave_dir\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'output/ResNet50_vd_ssld'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 20\u001b[0;31m     use_vdl=False)\n\u001b[0m",
      "\u001b[0;32m/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlex/cv/models/classifier.py\u001b[0m in \u001b[0;36mtrain\u001b[0;34m(self, num_epochs, train_dataset, train_batch_size, eval_dataset, optimizer, save_interval_epochs, log_interval_steps, save_dir, pretrain_weights, learning_rate, warmup_steps, warmup_start_lr, lr_decay_epochs, lr_decay_gamma, label_smoothing, early_stop, early_stop_patience, use_vdl, resume_checkpoint)\u001b[0m\n\u001b[1;32m    334\u001b[0m             \u001b[0mearly_stop\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mearly_stop\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    335\u001b[0m             \u001b[0mearly_stop_patience\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mearly_stop_patience\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 336\u001b[0;31m             use_vdl=use_vdl)\n\u001b[0m\u001b[1;32m    337\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    338\u001b[0m     def quant_aware_train(self,\n",
      "\u001b[0;32m/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlex/cv/models/base.py\u001b[0m in \u001b[0;36mtrain_loop\u001b[0;34m(self, num_epochs, train_dataset, train_batch_size, eval_dataset, save_interval_epochs, log_interval_steps, save_dir, ema, early_stop, early_stop_patience, use_vdl)\u001b[0m\n\u001b[1;32m    338\u001b[0m                 \u001b[0mloss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0moutputs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'loss'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    339\u001b[0m                 \u001b[0mloss\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 340\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    341\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclear_grad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    342\u001b[0m                 \u001b[0mlr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_lr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<decorator-gen-363>\u001b[0m in \u001b[0;36mstep\u001b[0;34m(self)\u001b[0m\n",
      "\u001b[0;32m/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/base.py\u001b[0m in \u001b[0;36m__impl__\u001b[0;34m(func, *args, **kwargs)\u001b[0m\n\u001b[1;32m    297\u001b[0m         \u001b[0;32mdef\u001b[0m \u001b[0m__impl__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    298\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0m_switch_tracer_mode_guard_\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mis_train\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 299\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    300\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    301\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0m__impl__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<decorator-gen-361>\u001b[0m in \u001b[0;36mstep\u001b[0;34m(self)\u001b[0m\n",
      "\u001b[0;32m/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/wrapped_decorator.py\u001b[0m in \u001b[0;36m__impl__\u001b[0;34m(func, *args, **kwargs)\u001b[0m\n\u001b[1;32m     23\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__impl__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     24\u001b[0m         \u001b[0mwrapped_func\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdecorator_func\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 25\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mwrapped_func\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     26\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     27\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0m__impl__\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/framework.py\u001b[0m in \u001b[0;36m__impl__\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    432\u001b[0m         assert _non_static_mode(\n\u001b[1;32m    433\u001b[0m         ), \"We only support '%s()' in dynamic graph mode, please call 'paddle.disable_static()' to enter dynamic graph mode.\" % func.__name__\n\u001b[0;32m--> 434\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    435\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    436\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0m__impl__\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/optimizer/optimizer.py\u001b[0m in \u001b[0;36mstep\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1218\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1219\u001b[0m             self._apply_optimize(\n\u001b[0;32m-> 1220\u001b[0;31m                 loss=None, startup_program=None, params_grads=params_grads)\n\u001b[0m\u001b[1;32m   1221\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1222\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/optimizer/optimizer.py\u001b[0m in \u001b[0;36m_apply_optimize\u001b[0;34m(self, loss, startup_program, params_grads)\u001b[0m\n\u001b[1;32m    961\u001b[0m                     params_grads['params'] = self.append_regularization_ops(\n\u001b[1;32m    962\u001b[0m                         params_grads['params'], self.regularization)\n\u001b[0;32m--> 963\u001b[0;31m                 \u001b[0moptimize_ops\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_create_optimization_pass\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mparams_grads\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    964\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    965\u001b[0m             \u001b[0mprogram\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mloss\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mblock\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprogram\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/optimizer/optimizer.py\u001b[0m in \u001b[0;36m_create_optimization_pass\u001b[0;34m(self, parameters_and_grads)\u001b[0m\n\u001b[1;32m    765\u001b[0m                         \u001b[0;32mif\u001b[0m \u001b[0mparam_and_grad\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstop_gradient\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    766\u001b[0m                             self._append_optimize_op(target_block,\n\u001b[0;32m--> 767\u001b[0;31m                                                      param_and_grad)\n\u001b[0m\u001b[1;32m    768\u001b[0m                 \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    769\u001b[0m                     \u001b[0;32mfor\u001b[0m \u001b[0mparam_and_grad\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mparameters_and_grads\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'params'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/optimizer/momentum.py\u001b[0m in \u001b[0;36m_append_optimize_op\u001b[0;34m(self, block, param_and_grad)\u001b[0m\n\u001b[1;32m    294\u001b[0m         velocity_acc = self._get_accumulator(self._velocity_acc_str,\n\u001b[1;32m    295\u001b[0m                                              param_and_grad[0])\n\u001b[0;32m--> 296\u001b[0;31m         \u001b[0mlr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_create_param_lr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mparam_and_grad\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    297\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    298\u001b[0m         \u001b[0;31m# For fusion of momentum and l2decay\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/optimizer/optimizer.py\u001b[0m in \u001b[0;36m_create_param_lr\u001b[0;34m(self, param_and_grad)\u001b[0m\n\u001b[1;32m    542\u001b[0m                             \u001b[0mis_with_opt\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mframework\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname_scope\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    543\u001b[0m                                 'scale_with_param_lr'):\n\u001b[0;32m--> 544\u001b[0;31m                         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_global_learning_rate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0mparam_lr\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    545\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    546\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_global_learning_rate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/math_op_patch.py\u001b[0m in \u001b[0;36m__impl__\u001b[0;34m(self, other_var)\u001b[0m\n\u001b[1;32m    210\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mother_var\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfloat\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    211\u001b[0m                 \u001b[0;31m# in all cases(+, -, *, /, **, //, %), we need cast tensor.dtype to float\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 212\u001b[0;31m                 \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdtype\u001b[0m \u001b[0;32min\u001b[0m \u001b[0m_supported_int_dtype_\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    213\u001b[0m                     \u001b[0mself\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'float32'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    214\u001b[0m                 \u001b[0;31m# here use `scale` replace `elementwise` to get better performance\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "# 初始化模型\n",
    "model = pdx.cls.ResNet50_vd_ssld(\n",
    "    num_classes=len(train_dataset.labels)\n",
    ")\n",
    "# 开始训练\n",
    "model.train(\n",
    "    train_dataset=train_dataset,\n",
    "    eval_dataset=eval_dataset,\n",
    "    num_epochs=420, #训练轮数\n",
    "    train_batch_size=110, #一个step所用到的样本量\n",
    "    warmup_steps=(len(train_dataset.file_list) // 110) * 6, #学习率从0经过steps轮迭代增长到设定的学习率\n",
    "    learning_rate=0.025, # 学习率\n",
    "    lr_decay_epochs=[40, 65, 115, 160, 205], #表示学习率在第几个epoch时衰减一次\n",
    "    lr_decay_gamma=0.1, # 学习率衰减率\n",
    "    save_interval_epochs=5, # 每几轮保存一次\n",
    "    log_interval_steps=(len(train_dataset.file_list) // 110) * 7, # 训练日志输出间隔\n",
    "    pretrain_weights='IMAGENET',# 自动下载在ImageNet图片数据上预训练的模型权重\n",
    "    # pretrain_weights='output/ResNet101_vd_ssld_2/epoch_208/model.pdparams',\n",
    "    save_dir='output/ResNet50_vd_ssld', # 储存模型参数\n",
    "    use_vdl=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-02T04:44:45.672442Z",
     "iopub.status.busy": "2022-06-02T04:44:45.671629Z",
     "iopub.status.idle": "2022-06-02T04:44:56.234218Z",
     "shell.execute_reply": "2022-06-02T04:44:56.233316Z",
     "shell.execute_reply.started": "2022-06-02T04:44:45.672395Z"
    },
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n",
      "Requirement already satisfied: paddlex in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (2.1.0)\n",
      "Requirement already satisfied: pycocotools in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (2.0.4)\n",
      "Requirement already satisfied: shapely>=1.7.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (1.8.2)\n",
      "Requirement already satisfied: lap in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (0.4.0)\n",
      "Requirement already satisfied: scipy in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (1.6.3)\n",
      "Requirement already satisfied: motmetrics in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (1.2.5)\n",
      "Requirement already satisfied: flask-cors in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (3.0.8)\n",
      "Requirement already satisfied: openpyxl in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (3.0.5)\n",
      "Requirement already satisfied: tqdm in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (4.27.0)\n",
      "Requirement already satisfied: scikit-learn==0.23.2 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (0.23.2)\n",
      "Requirement already satisfied: pyyaml in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (5.1.2)\n",
      "Requirement already satisfied: visualdl>=2.2.2 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (2.2.3)\n",
      "Requirement already satisfied: chardet in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (3.0.4)\n",
      "Requirement already satisfied: colorama in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (0.4.4)\n",
      "Requirement already satisfied: paddleslim==2.2.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (2.2.1)\n",
      "Requirement already satisfied: opencv-python in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (4.1.1.26)\n",
      "Requirement already satisfied: pyzmq in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddleslim==2.2.1->paddlex) (22.3.0)\n",
      "Requirement already satisfied: matplotlib in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddleslim==2.2.1->paddlex) (2.2.3)\n",
      "Requirement already satisfied: pillow in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddleslim==2.2.1->paddlex) (8.2.0)\n",
      "Requirement already satisfied: joblib>=0.11 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from scikit-learn==0.23.2->paddlex) (0.14.1)\n",
      "Requirement already satisfied: threadpoolctl>=2.0.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from scikit-learn==0.23.2->paddlex) (2.1.0)\n",
      "Requirement already satisfied: numpy>=1.13.3 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from scikit-learn==0.23.2->paddlex) (1.19.5)\n",
      "Requirement already satisfied: six>=1.14.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.2.2->paddlex) (1.16.0)\n",
      "Requirement already satisfied: flask>=1.1.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.2.2->paddlex) (1.1.1)\n",
      "Requirement already satisfied: requests in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.2.2->paddlex) (2.24.0)\n",
      "Requirement already satisfied: pandas in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.2.2->paddlex) (1.1.5)\n",
      "Requirement already satisfied: pre-commit in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.2.2->paddlex) (1.21.0)\n",
      "Requirement already satisfied: flake8>=3.7.9 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.2.2->paddlex) (4.0.1)\n",
      "Requirement already satisfied: Flask-Babel>=1.0.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.2.2->paddlex) (1.0.0)\n",
      "Requirement already satisfied: shellcheck-py in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.2.2->paddlex) (0.7.1.1)\n",
      "Requirement already satisfied: protobuf>=3.11.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.2.2->paddlex) (3.14.0)\n",
      "Requirement already satisfied: bce-python-sdk in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.2.2->paddlex) (0.8.53)\n",
      "Requirement already satisfied: xmltodict>=0.12.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from motmetrics->paddlex) (0.13.0)\n",
      "Requirement already satisfied: et-xmlfile in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from openpyxl->paddlex) (1.0.1)\n",
      "Requirement already satisfied: jdcal in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from openpyxl->paddlex) (1.4.1)\n",
      "Requirement already satisfied: importlib-metadata<4.3 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flake8>=3.7.9->visualdl>=2.2.2->paddlex) (4.2.0)\n",
      "Requirement already satisfied: pyflakes<2.5.0,>=2.4.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flake8>=3.7.9->visualdl>=2.2.2->paddlex) (2.4.0)\n",
      "Requirement already satisfied: pycodestyle<2.9.0,>=2.8.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flake8>=3.7.9->visualdl>=2.2.2->paddlex) (2.8.0)\n",
      "Requirement already satisfied: mccabe<0.7.0,>=0.6.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flake8>=3.7.9->visualdl>=2.2.2->paddlex) (0.6.1)\n",
      "Requirement already satisfied: Jinja2>=2.10.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flask>=1.1.1->visualdl>=2.2.2->paddlex) (3.0.0)\n",
      "Requirement already satisfied: Werkzeug>=0.15 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flask>=1.1.1->visualdl>=2.2.2->paddlex) (0.16.0)\n",
      "Requirement already satisfied: itsdangerous>=0.24 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flask>=1.1.1->visualdl>=2.2.2->paddlex) (1.1.0)\n",
      "Requirement already satisfied: click>=5.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flask>=1.1.1->visualdl>=2.2.2->paddlex) (7.0)\n",
      "Requirement already satisfied: pytz in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from Flask-Babel>=1.0.0->visualdl>=2.2.2->paddlex) (2019.3)\n",
      "Requirement already satisfied: Babel>=2.3 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from Flask-Babel>=1.0.0->visualdl>=2.2.2->paddlex) (2.8.0)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib->paddleslim==2.2.1->paddlex) (1.1.0)\n",
      "Requirement already satisfied: python-dateutil>=2.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib->paddleslim==2.2.1->paddlex) (2.8.2)\n",
      "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib->paddleslim==2.2.1->paddlex) (3.0.8)\n",
      "Requirement already satisfied: cycler>=0.10 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib->paddleslim==2.2.1->paddlex) (0.10.0)\n",
      "Requirement already satisfied: pycryptodome>=3.8.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from bce-python-sdk->visualdl>=2.2.2->paddlex) (3.9.9)\n",
      "Requirement already satisfied: future>=0.6.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from bce-python-sdk->visualdl>=2.2.2->paddlex) (0.18.0)\n",
      "Requirement already satisfied: toml in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl>=2.2.2->paddlex) (0.10.0)\n",
      "Requirement already satisfied: identify>=1.0.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl>=2.2.2->paddlex) (1.4.10)\n",
      "Requirement already satisfied: aspy.yaml in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl>=2.2.2->paddlex) (1.3.0)\n",
      "Requirement already satisfied: cfgv>=2.0.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl>=2.2.2->paddlex) (2.0.1)\n",
      "Requirement already satisfied: virtualenv>=15.2 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl>=2.2.2->paddlex) (16.7.9)\n",
      "Requirement already satisfied: nodeenv>=0.11.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl>=2.2.2->paddlex) (1.3.4)\n",
      "Requirement already satisfied: idna<3,>=2.5 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from requests->visualdl>=2.2.2->paddlex) (2.8)\n",
      "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from requests->visualdl>=2.2.2->paddlex) (1.25.6)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from requests->visualdl>=2.2.2->paddlex) (2019.9.11)\n",
      "Requirement already satisfied: typing-extensions>=3.6.4 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from importlib-metadata<4.3->flake8>=3.7.9->visualdl>=2.2.2->paddlex) (4.2.0)\n",
      "Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from importlib-metadata<4.3->flake8>=3.7.9->visualdl>=2.2.2->paddlex) (3.8.0)\n",
      "Requirement already satisfied: MarkupSafe>=2.0.0rc2 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from Jinja2>=2.10.1->flask>=1.1.1->visualdl>=2.2.2->paddlex) (2.0.1)\n",
      "Requirement already satisfied: setuptools in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from kiwisolver>=1.0.1->matplotlib->paddleslim==2.2.1->paddlex) (56.2.0)\n",
      "WARNING: You are using pip version 22.0.4; however, version 22.1.2 is available.\n",
      "You should consider upgrading via the '/opt/conda/envs/python35-paddle120-env/bin/python -m pip install --upgrade pip' command.\n",
      "2022-06-02 12:44:48 [INFO]\tModel[ResNet50_vd_ssld] loaded.\n",
      "csv文件生成成功，文件目录：work/result.csv\n"
     ]
    }
   ],
   "source": [
    "!pip install paddlex\n",
    "import paddlex as pdx\n",
    "import glob\n",
    "model = pdx.load_model('output/ResNet50_vd_ssld/epoch_275') # 加载模型\n",
    "test_list = glob.glob('data/data10954/cat_12_test/*.jpg')\n",
    "test_df = pd.DataFrame() # 创建表结构\n",
    "for i in range(len(test_list)):\n",
    "    img = Image.open(test_list[i]).convert('RGB')\n",
    "    img = np.asarray(img, dtype='float32') # 转换数据类型\n",
    "    result = model.predict(img[:, :, [2, 1, 0]]) # 预测结果\n",
    "    test_df.at[i, 'name'] = str(test_list[i]).split('/')[-1] # 文件名\n",
    "    test_df.at[i, 'cls'] = int(result[0]['category_id']) # 类别\n",
    "test_df[['name']] = test_df[['name']].astype(str)\n",
    "test_df[['cls']] = test_df[['cls']].astype(int)\n",
    "test_df.to_csv('work/result.csv', index=False, header=False) # 生成csv文件\n",
    "print('csv文件生成成功，文件目录：work/result.csv')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "py35-paddle1.2.0"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}