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Fix tf.py `LoadImages()` dataloader return values (#5455)

modifyDataloader
Glenn Jocher GitHub 2 years ago
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      models/tf.py

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models/tf.py View File



def representative_dataset_gen(dataset, ncalib=100): def representative_dataset_gen(dataset, ncalib=100):
# Representative dataset generator for use with converter.representative_dataset, returns a generator of np arrays # Representative dataset generator for use with converter.representative_dataset, returns a generator of np arrays
for n, (path, img, im0s, vid_cap) in enumerate(dataset):
for n, (path, img, im0s, vid_cap, string) in enumerate(dataset):
input = np.transpose(img, [1, 2, 0]) input = np.transpose(img, [1, 2, 0])
input = np.expand_dims(input, axis=0).astype(np.float32) input = np.expand_dims(input, axis=0).astype(np.float32)
input /= 255.0 input /= 255.0

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