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": []
     }
   ]
-}
+}
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