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tutorial.ipynb

@@ -415,7 +415,7 @@
         "import utils\n",
         "display = utils.notebook_init()  # checks"
       ],
-      "execution_count": 1,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "stream",
@@ -467,7 +467,7 @@
         "!python detect.py --weights yolov5s.pt --img 640 --conf 0.25 --source data/images\n",
         "#display.Image(filename='runs/detect/exp/zidane.jpg', width=600)"
       ],
-      "execution_count": 2,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "stream",
@@ -547,7 +547,7 @@
         "torch.hub.download_url_to_file('https://ultralytics.com/assets/coco2017val.zip', 'tmp.zip')\n",
         "!unzip -q tmp.zip -d ../datasets && rm tmp.zip"
       ],
-      "execution_count": 3,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "display_data",
@@ -578,7 +578,7 @@
         "# Run YOLOv5x on COCO val\n",
         "!python val.py --weights yolov5x.pt --data coco.yaml --img 640 --iou 0.65 --half"
       ],
-      "execution_count": 4,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "stream",
@@ -753,7 +753,7 @@
         "# Train YOLOv5s on COCO128 for 3 epochs\n",
         "!python train.py --img 640 --batch 16 --epochs 3 --data coco128.yaml --weights yolov5s.pt --cache"
       ],
-      "execution_count": 5,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "stream",
@@ -1131,7 +1131,6 @@
       },
       "source": [
         "# TensorRT \n",
-        "# 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 --device 0  # export\n",
         "!python detect.py --weights yolov5s.engine --imgsz 640 --device 0  # inference"