TensorRT pip install

tutorial.ipynb

@@ -1090,19 +1090,13 @@
  },
  "source": [
  "# TensorRT \n",
- "# https://developer.nvidia.com/nvidia-tensorrt-download\n",
- "!lsb_release -a # check system\n",
- "%ls /usr/local | grep cuda # check CUDA\n",
- "!wget https://ultralytics.com/assets/TensorRT-8.2.0.6.Linux.x86_64-gnu.cuda-11.4.cudnn8.2.tar.gz # download\n",
- "![ -d /content/TensorRT-8.2.0.6/ ] || tar -C /content/ -zxf ./TensorRT-8.2.0.6.Linux.x86_64-gnu.cuda-11.4.cudnn8.2.tar.gz # unzip\n",
- "%pip list | grep tensorrt || pip install /content/TensorRT-8.2.0.6/python/tensorrt-8.2.0.6-cp37-none-linux_x86_64.whl # install\n",
- "%env LD_LIBRARY_PATH=/usr/local/cuda-11.1/lib64:/content/cuda-11.1/lib64:/content/TensorRT-8.2.0.6/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 # add to path\n",
- "\n",
- "!python export.py --weights yolov5s.pt --include engine --imgsz 640 640 --device 0\n",
- "!python detect.py --weights yolov5s.engine --imgsz 640 640 --device 0"
+ "# https://docs.nvidia.com/deeplearning/tensorrt/install-guide/index.html#installing-pip\n",
+ "!pip install -U nvidia-tensorrt --index-url https://pypi.ngc.nvidia.com # install\n",
+ "!python export.py --weights yolov5s.pt --include engine --imgsz 640 640 --device 0 # export\n",
+ "!python detect.py --weights yolov5s.engine --imgsz 640 640 --device 0 # inference"
  ],
  "execution_count": null,
  "outputs": []
  }
  ]
-}
+}