On-demand `pycocotools` pip install (#3547)
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1b5edb6f8e
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@ -175,7 +175,7 @@ if __name__ == '__main__':
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parser.add_argument('--half', action='store_true', help='use FP16 half-precision inference')
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opt = parser.parse_args()
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print(opt)
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check_requirements(exclude=('tensorboard', 'pycocotools', 'thop'))
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check_requirements(exclude=('tensorboard', 'thop'))
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if opt.update: # update all models (to fix SourceChangeWarning)
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for opt.weights in ['yolov5s.pt', 'yolov5m.pt', 'yolov5l.pt', 'yolov5x.pt']:
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@ -31,7 +31,7 @@ def _create(name, pretrained=True, channels=3, classes=80, autoshape=True, verbo
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from utils.torch_utils import select_device
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check_requirements(requirements=Path(__file__).parent / 'requirements.txt',
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exclude=('tensorboard', 'pycocotools', 'thop', 'opencv-python'))
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exclude=('tensorboard', 'thop', 'opencv-python'))
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set_logging(verbose=verbose)
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fname = Path(name).with_suffix('.pt') # checkpoint filename
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@ -26,5 +26,5 @@ pandas
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# extras --------------------------------------
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# Cython # for pycocotools https://github.com/cocodataset/cocoapi/issues/172
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pycocotools>=2.0 # COCO mAP
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# pycocotools>=2.0 # COCO mAP
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thop # FLOPs computation
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3
test.py
3
test.py
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@ -260,6 +260,7 @@ def test(data,
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json.dump(jdict, f)
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try: # https://github.com/cocodataset/cocoapi/blob/master/PythonAPI/pycocoEvalDemo.ipynb
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check_requirements(['pycocotools'])
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from pycocotools.coco import COCO
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from pycocotools.cocoeval import COCOeval
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@ -311,7 +312,7 @@ if __name__ == '__main__':
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opt.save_json |= opt.data.endswith('coco.yaml')
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opt.data = check_file(opt.data) # check file
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print(opt)
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check_requirements(exclude=('tensorboard', 'pycocotools', 'thop'))
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check_requirements(exclude=('tensorboard', 'thop'))
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if opt.task in ('train', 'val', 'test'): # run normally
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test(opt.data,
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