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

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Glenn Jocher 2021-11-02 23:04:15 +01:00 committed by GitHub
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commit 042f02ff9b
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models/tf.py
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@ -411,7 +411,7 @@ class AgnosticNMS(keras.layers.Layer):
def representative_dataset_gen(dataset, ncalib=100):
# 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.expand_dims(input, axis=0).astype(np.float32)
input /= 255.0