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tutorial.ipynb
vendored
11
tutorial.ipynb
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@ -415,7 +415,7 @@
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"import utils\n",
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"import utils\n",
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"display = utils.notebook_init() # checks"
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"display = utils.notebook_init() # checks"
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],
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],
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"execution_count": 1,
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"execution_count": null,
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"outputs": [
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"outputs": [
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{
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{
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"output_type": "stream",
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"output_type": "stream",
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@ -467,7 +467,7 @@
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"!python detect.py --weights yolov5s.pt --img 640 --conf 0.25 --source data/images\n",
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"!python detect.py --weights yolov5s.pt --img 640 --conf 0.25 --source data/images\n",
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"#display.Image(filename='runs/detect/exp/zidane.jpg', width=600)"
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"#display.Image(filename='runs/detect/exp/zidane.jpg', width=600)"
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],
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],
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"execution_count": 2,
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"execution_count": null,
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"outputs": [
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"outputs": [
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{
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{
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"output_type": "stream",
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"output_type": "stream",
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@ -547,7 +547,7 @@
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"torch.hub.download_url_to_file('https://ultralytics.com/assets/coco2017val.zip', 'tmp.zip')\n",
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"torch.hub.download_url_to_file('https://ultralytics.com/assets/coco2017val.zip', 'tmp.zip')\n",
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"!unzip -q tmp.zip -d ../datasets && rm tmp.zip"
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"!unzip -q tmp.zip -d ../datasets && rm tmp.zip"
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],
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],
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"execution_count": 3,
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"execution_count": null,
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"outputs": [
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"outputs": [
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{
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{
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"output_type": "display_data",
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"output_type": "display_data",
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@ -578,7 +578,7 @@
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"# Run YOLOv5x on COCO val\n",
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"# Run YOLOv5x on COCO val\n",
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"!python val.py --weights yolov5x.pt --data coco.yaml --img 640 --iou 0.65 --half"
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"!python val.py --weights yolov5x.pt --data coco.yaml --img 640 --iou 0.65 --half"
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],
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],
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"execution_count": 4,
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"execution_count": null,
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"outputs": [
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"outputs": [
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{
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{
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"output_type": "stream",
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"output_type": "stream",
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@ -753,7 +753,7 @@
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"# Train YOLOv5s on COCO128 for 3 epochs\n",
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"# Train YOLOv5s on COCO128 for 3 epochs\n",
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"!python train.py --img 640 --batch 16 --epochs 3 --data coco128.yaml --weights yolov5s.pt --cache"
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"!python train.py --img 640 --batch 16 --epochs 3 --data coco128.yaml --weights yolov5s.pt --cache"
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],
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],
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"execution_count": 5,
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"execution_count": null,
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"outputs": [
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"outputs": [
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{
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{
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"output_type": "stream",
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"output_type": "stream",
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@ -1131,7 +1131,6 @@
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},
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},
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"source": [
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"source": [
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"# TensorRT \n",
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"# TensorRT \n",
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"# https://docs.nvidia.com/deeplearning/tensorrt/install-guide/index.html#installing-pip\n",
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"!pip install -U nvidia-tensorrt --index-url https://pypi.ngc.nvidia.com # install\n",
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"!pip install -U nvidia-tensorrt --index-url https://pypi.ngc.nvidia.com # install\n",
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"!python export.py --weights yolov5s.pt --include engine --imgsz 640 --device 0 # export\n",
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"!python export.py --weights yolov5s.pt --include engine --imgsz 640 --device 0 # export\n",
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"!python detect.py --weights yolov5s.engine --imgsz 640 --device 0 # inference"
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"!python detect.py --weights yolov5s.engine --imgsz 640 --device 0 # inference"
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