提交 b760acec authored 作者: Glenn Jocher's avatar Glenn Jocher

Created using Colaboratory

上级 441b47c4
...@@ -505,7 +505,7 @@ ...@@ -505,7 +505,7 @@
"id": "eyTZYGgRjnMc" "id": "eyTZYGgRjnMc"
}, },
"source": [ "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." "Download [COCO val 2017](https://github.com/ultralytics/yolov5/blob/74b34872fdf41941cddcf243951cdb090fbac17b/data/coco.yaml#L14) dataset (1GB - 5000 images), and test model accuracy."
] ]
}, },
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"outputId": "7e6f5c96-c819-43e1-cd03-d3b9878cf8de" "outputId": "7e6f5c96-c819-43e1-cd03-d3b9878cf8de"
}, },
"source": [ "source": [
"# Download COCO val2017\n", "# Download COCO val\n",
"torch.hub.download_url_to_file('https://github.com/ultralytics/yolov5/releases/download/v1.0/coco2017val.zip', 'tmp.zip')\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" "!unzip -q tmp.zip -d ../datasets && rm tmp.zip"
], ],
"execution_count": null, "execution_count": null,
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"outputId": "3dd0e2fc-aecf-4108-91b1-6392da1863cb" "outputId": "3dd0e2fc-aecf-4108-91b1-6392da1863cb"
}, },
"source": [ "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" "!python val.py --weights yolov5x.pt --data coco.yaml --img 640 --iou 0.65 --half"
], ],
"execution_count": null, "execution_count": null,
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"id": "rc_KbFk0juX2" "id": "rc_KbFk0juX2"
}, },
"source": [ "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." "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 @@ ...@@ -638,10 +638,9 @@
}, },
"source": [ "source": [
"# Download COCO test-dev2017\n", "# 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", "torch.hub.download_url_to_file('https://ultralytics.com/assets/coco2017labels.zip', 'tmp.zip')\n",
"!unzip -q tmp.zip -d ../ && rm tmp.zip # unzip labels\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 && rm $f # 7GB, 41k images\n", "!f=\"test2017.zip\" && curl http://images.cocodataset.org/zips/$f -o $f && unzip -q $f -d ../datasets/coco/images # 7GB 41k images"
"%mv ./test2017 ../coco/images # move to /coco"
], ],
"execution_count": null, "execution_count": null,
"outputs": [] "outputs": []
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"id": "29GJXAP_lPrt" "id": "29GJXAP_lPrt"
}, },
"source": [ "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" "!python val.py --weights yolov5s.pt --data coco.yaml --task test"
], ],
"execution_count": null, "execution_count": null,
......
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