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Glenn Jocher 2021-10-22 21:11:29 +02:00
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commit b760acec11
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tutorial.ipynb vendored
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@ -505,7 +505,7 @@
"id": "eyTZYGgRjnMc"
},
"source": [
"## COCO val2017\n",
"## COCO val\n",
"Download [COCO val 2017](https://github.com/ultralytics/yolov5/blob/74b34872fdf41941cddcf243951cdb090fbac17b/data/coco.yaml#L14) dataset (1GB - 5000 images), and test model accuracy."
]
},
@ -533,8 +533,8 @@
"outputId": "7e6f5c96-c819-43e1-cd03-d3b9878cf8de"
},
"source": [
"# Download COCO val2017\n",
"torch.hub.download_url_to_file('https://github.com/ultralytics/yolov5/releases/download/v1.0/coco2017val.zip', 'tmp.zip')\n",
"# Download COCO val\n",
"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": null,
@ -567,7 +567,7 @@
"outputId": "3dd0e2fc-aecf-4108-91b1-6392da1863cb"
},
"source": [
"# Run YOLOv5x on COCO val2017\n",
"# Run YOLOv5x on COCO val\n",
"!python val.py --weights yolov5x.pt --data coco.yaml --img 640 --iou 0.65 --half"
],
"execution_count": null,
@ -627,7 +627,7 @@
"id": "rc_KbFk0juX2"
},
"source": [
"## COCO test-dev2017\n",
"## COCO test\n",
"Download [COCO test2017](https://github.com/ultralytics/yolov5/blob/74b34872fdf41941cddcf243951cdb090fbac17b/data/coco.yaml#L15) dataset (7GB - 40,000 images), to test model accuracy on test-dev set (**20,000 images, no labels**). Results are saved to a `*.json` file which should be **zipped** and submitted to the evaluation server at https://competitions.codalab.org/competitions/20794."
]
},
@ -638,10 +638,9 @@
},
"source": [
"# Download COCO test-dev2017\n",
"torch.hub.download_url_to_file('https://github.com/ultralytics/yolov5/releases/download/v1.0/coco2017labels.zip', 'tmp.zip')\n",
"!unzip -q tmp.zip -d ../ && rm tmp.zip # unzip labels\n",
"!f=\"test2017.zip\" && curl http://images.cocodataset.org/zips/$f -o $f && unzip -q $f && rm $f # 7GB, 41k images\n",
"%mv ./test2017 ../coco/images # move to /coco"
"torch.hub.download_url_to_file('https://ultralytics.com/assets/coco2017labels.zip', 'tmp.zip')\n",
"!unzip -q tmp.zip -d ../datasets && rm tmp.zip # unzip labels\n",
"!f=\"test2017.zip\" && curl http://images.cocodataset.org/zips/$f -o $f && unzip -q $f -d ../datasets/coco/images # 7GB 41k images"
],
"execution_count": null,
"outputs": []
@ -652,7 +651,7 @@
"id": "29GJXAP_lPrt"
},
"source": [
"# Run YOLOv5s on COCO test-dev2017 using --task test\n",
"# Run YOLOv5s on COCO test\n",
"!python val.py --weights yolov5s.pt --data coco.yaml --task test"
],
"execution_count": null,