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pretrained=False fix (#5966)

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* `pretriained=False` fix

Fix for https://github.com/ultralytics/yolov5/issues/5964

* CI speed improvement
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Glenn Jocher 2021-12-13 13:32:27 +01:00 committed by GitHub
parent 19c56e60b1
commit e8ef8fb1ca
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1 changed files with 2 additions and 2 deletions
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hubconf.py
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@ -46,7 +46,7 @@ def _create(name, pretrained=True, channels=3, classes=80, autoshape=True, verbo
model = DetectMultiBackend(path, device=device) # download/load FP32 model model = DetectMultiBackend(path, device=device) # download/load FP32 model
# model = models.experimental.attempt_load(path, map_location=device) # download/load FP32 model # model = models.experimental.attempt_load(path, map_location=device) # download/load FP32 model
else: else:
cfg = list((Path(__file__).parent / 'models').rglob(f'{path.name}.yaml'))[0] # model.yaml path cfg = list((Path(__file__).parent / 'models').rglob(f'{path.stem}.yaml'))[0] # model.yaml path
model = Model(cfg, channels, classes) # create model model = Model(cfg, channels, classes) # create model
if pretrained: if pretrained:
ckpt = torch.load(attempt_download(path), map_location=device) # load ckpt = torch.load(attempt_download(path), map_location=device) # load
@ -138,6 +138,6 @@ if __name__ == '__main__':
Image.open('data/images/bus.jpg'), # PIL Image.open('data/images/bus.jpg'), # PIL
np.zeros((320, 640, 3))] # numpy np.zeros((320, 640, 3))] # numpy
results = model(imgs) # batched inference results = model(imgs, size=320) # batched inference
results.print() results.print()
results.save() results.save()