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This commit is contained in:
Glenn Jocher
parent
e7fc27406a
commit
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@ -564,7 +580,7 @@
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"clear_output()\n",
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"print(f\"Setup complete. Using torch {torch.__version__} ({torch.cuda.get_device_properties(0).name if torch.cuda.is_available() else 'CPU'})\")"
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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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{
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"output_type": "stream",
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"\n",
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"`detect.py` runs YOLOv5 inference on a variety of sources, downloading models automatically from the [latest YOLOv5 release](https://github.com/ultralytics/yolov5/releases), and saving results to `runs/detect`. Example inference sources are:\n",
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"\n",
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"<img align=\"left\" src=\"https://user-images.githubusercontent.com/26833433/114307955-5c7e4e80-9ae2-11eb-9f50-a90e39bee53f.png\" width=\"900\"> "
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"```shell\n",
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"python detect.py --source 0 # webcam\n",
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" file.jpg # image \n",
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" file.mp4 # video\n",
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" path/ # directory\n",
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" path/*.jpg # glob\n",
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" 'https://youtu.be/NUsoVlDFqZg' # YouTube\n",
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" 'rtsp://example.com/media.mp4' # RTSP, RTMP, HTTP stream\n",
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"```"
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]
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},
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{
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@ -601,7 +625,7 @@
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"!python detect.py --weights yolov5s.pt --img 640 --conf 0.25 --source data/images/\n",
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"Image(filename='runs/detect/exp/zidane.jpg', width=600)"
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],
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"execution_count": 9,
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"execution_count": null,
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"outputs": [
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{
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"output_type": "stream",
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@ -675,7 +699,7 @@
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"torch.hub.download_url_to_file('https://github.com/ultralytics/yolov5/releases/download/v1.0/coco2017val.zip', 'tmp.zip')\n",
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"!unzip -q tmp.zip -d ../datasets && rm tmp.zip"
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],
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"execution_count": 10,
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"execution_count": null,
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"outputs": [
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{
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"output_type": "display_data",
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@ -715,7 +739,7 @@
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"# Run YOLOv5x on COCO val2017\n",
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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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"execution_count": 11,
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"execution_count": null,
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"outputs": [
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{
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"output_type": "stream",
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@ -839,7 +863,7 @@
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"torch.hub.download_url_to_file('https://github.com/ultralytics/yolov5/releases/download/v1.0/coco128.zip', 'tmp.zip')\n",
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"!unzip -q tmp.zip -d ../ && rm tmp.zip"
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],
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"execution_count": 12,
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"execution_count": null,
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"outputs": [
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{
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"output_type": "display_data",
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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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],
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"execution_count": 13,
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"execution_count": null,
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"outputs": [
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{
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"output_type": "stream",
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