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这个for循环存在的意义是什么,是否应该把strides的计算和 anchors_over_all_feature_maps移动到第一层for循环呢 about deep-learning-for-image-processing HOT 3 CLOSED

wzmiaomiao avatar wzmiaomiao commented on July 20, 2024
这个for循环存在的意义是什么,是否应该把strides的计算和 anchors_over_all_feature_maps移动到第一层for循环呢

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Comments (3)

WZMIAOMIAO avatar WZMIAOMIAO commented on July 20, 2024

因为之前经过预处理了,所以每张图像的strides和anchors_over_all_feature_maps都是一样的。所以只用计算一次就行了,没必要移至for循环里重复计算。

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littlebaibear avatar littlebaibear commented on July 20, 2024

这个我了解了,只是有疑问:映射回原图,这里所谓"原图"为什么不是真正原始图像,而是batch之后的统一大小的图像,最后显示检测框应该是在未处理的图像上,后续代码是针对这个有重新映射吗(指postprocess方法),不知道理解对不对

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WZMIAOMIAO avatar WZMIAOMIAO commented on July 20, 2024

有的,在postprocess中会还原回去

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