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# stride = 4, self.common_stride = 4 -> self.num_fpn_levels = 0 self.num_fpn_levels = int(np.log2(stride) - np.log2(self.common_stride))
# stride = 4, self.common_stride = 4 -> self.num_fpn_levels = 1 self.num_fpn_levels = max(int(np.log2(stride) - np.log2(self.common_stride)), 1)
The size of "pred_masks" varies depending on the difference in the above code. Please check it.
The text was updated successfully, but these errors were encountered:
Thanks for reporting this issue, we will refine it carefully in the future release
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The size of "pred_masks" varies depending on the difference in the above code.
Please check it.
The text was updated successfully, but these errors were encountered: