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* Update C3 module * Update C3 module * Update C3 module * Update C3 module * update * update * update * update * update * update * update * update * update * updates * updates * updates * updates * updates * updates * updates * updates * updates * updates * update * update * update * update * updates * updates * updates * updates * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update datasets * update * update * update * update attempt_downlaod() * merge * merge * update * update * update * update * update * update * update * update * update * update * parameterize eps * comments * gs-multiple * update * max_nms implemented * Create one_cycle() function * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * GitHub API rate limit fix * update * ComputeLoss * ComputeLoss * ComputeLoss * ComputeLoss * ComputeLoss * ComputeLoss * ComputeLoss * ComputeLoss * ComputeLoss * ComputeLoss * ComputeLoss * astuple * epochs * update * update * ComputeLoss() * update * update * update * update * update * update * update * update * update * update * update * merge * merge * merge * merge * update * update * update * update * commit=tag == tags[-1] * Update cudnn.benchmark * update * update * update * updates * updates * updates * updates * updates * updates * updates * update * update * update * update * update * mosaic9 * update * update * update * update * update * update * institute cache versioning * only display on existing cache * reverse cache exists booleans
28 lines
963 B
Bash
Executable File
28 lines
963 B
Bash
Executable File
#!/bin/bash
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# COCO 2017 dataset http://cocodataset.org
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# Download command: bash data/scripts/get_coco.sh
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# Train command: python train.py --data coco.yaml
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# Default dataset location is next to /yolov5:
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# /parent_folder
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# /coco
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# /yolov5
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# Download/unzip labels
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d='../' # unzip directory
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url=https://github.com/ultralytics/yolov5/releases/download/v1.0/
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f='coco2017labels.zip' # or 'coco2017labels-segments.zip', 68 MB
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echo 'Downloading' $url$f ' ...'
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curl -L $url$f -o $f && unzip -q $f -d $d && rm $f & # download, unzip, remove in background
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# Download/unzip images
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d='../coco/images' # unzip directory
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url=http://images.cocodataset.org/zips/
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f1='train2017.zip' # 19G, 118k images
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f2='val2017.zip' # 1G, 5k images
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f3='test2017.zip' # 7G, 41k images (optional)
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for f in $f1 $f2; do
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echo 'Downloading' $url$f '...'
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curl -L $url$f -o $f && unzip -q $f -d $d && rm $f & # download, unzip, remove in background
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done
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wait # finish background tasks
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