Yolov5 - Personalized dataset/part 2 - Real-Time Hello Detection - Testing.ipynb

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   "source": [
    "# ***Hello* Real-Time Detection** 🤟\n",
    "## **Part 2 - Testing**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **0.** Settings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "import numpy as np\n",
    "import torch\n",
    "import cv2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **1.** Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Downloading: \"https://github.com/ultralytics/yolov5/archive/master.zip\" to C:\\Users\\39345/.cache\\torch\\hub\\master.zip\n",
      "YOLOv5  2022-7-22 Python-3.9.10 torch-1.11.0+cpu CPU\n",
      "\n",
      "Fusing layers... \n",
      "Model summary: 213 layers, 7020913 parameters, 0 gradients, 15.8 GFLOPs\n",
      "Adding AutoShape... \n"
     ]
    }
   ],
   "source": [
    "model = torch.hub.load('ultralytics/yolov5', 'custom', path='yolov5/runs/train/exp4/weights/best.pt', force_reload=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **2.** Real-time detection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Open the webcam\n",
    "cap = cv2.VideoCapture(0, cv2.CAP_DSHOW)\n",
    "\n",
    "# Webcam frame settings\n",
    "cap.set(cv2.CAP_PROP_FRAME_WIDTH, 1280)\n",
    "cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 720)\n",
    "\n",
    "while cap.isOpened():\n",
    "\n",
    "    # Capture frame, if all went good then 'ret==True'\n",
    "    ret, frame = cap.read()\n",
    "\n",
    "    # Make detections\n",
    "    results = model(frame)\n",
    "\n",
    "    # Plot detections\n",
    "    cv2.imshow('YOLO', np.squeeze(results.render()))\n",
    "\n",
    "    # If we press the exit-buttom 'q' we end the webcam caption\n",
    "    if cv2.waitKey(1) & 0xFF == ord('q'):\n",
    "        break\n",
    "\n",
    "# Close everything in the end\n",
    "cap.release()\n",
    "cv2.destroyAllWindows()"
   ]
  }
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