質問編集履歴
3
書式の改善
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環境:Windows、Anaconda
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書式の改善
test
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labels, shapes, self.segments = zip(*cache.values())
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ValueError: not enough values to unpack (expected 3, got 0)
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```
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![イメージ説明](https://ddjkaamml8q8x.cloudfront.net/questions/2022-10-26/bc4306a9-96c9-4050-b02c-05b7b48f6651.png)
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環境:Windows、Anaconda
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1
書式の改善
test
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test
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AMP: checks passed
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optimizer: SGD(lr=0.01) with parameter groups 79 weight(decay=0.0), 82 weight(decay=0.0005), 82 bias
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train: WARNING C:\Users\isl\Desktop\yolov5\data\Train\images\vegetable(162).JPG: ignoring corrupt image/label: could not convert string to float: '<annotation>'
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train: WARNING C:\Users\isl\Desktop\yolov5\data\Train\images\vegetable(163).JPG: ignoring corrupt image/label: could not convert string to float: '<annotation>'
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train: WARNING C:\Users\isl\Desktop\yolov5\data\Train\images\vegetable(164).JPG: ignoring corrupt image/label: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (62,) + inhomogeneous part.
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train: WARNING C:\Users\isl\Desktop\yolov5\data\Train\images\vegetable(98).JPG: ignoring corrupt image/label: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (26,) + inhomogeneous part.
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train: WARNING C:\Users\isl\Desktop\yolov5\data\Train\images\vegetable(99).JPG: ignoring corrupt image/label: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (50,) + inhomogeneous part.
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Traceback (most recent call last):
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