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an error in data augment? #18
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boxes_t[:, 0::2] = boxes_t[:, 0::2] * (self.img_dim / width) / self.img_dim, so the self.img_dim is reduced. |
@biubug6 |
"min_sizes" is anchor size on different scales, "steps" is downsampling rate of feature map. I don't modify them? |
@hegc Sorry. maybe I'm missing something but both boxes and landmarks are normalized with width and height of the image before resizing, why? |
I think you have a mistake in data_augment.py preproc ruction.
![image](https://user-images.githubusercontent.com/9586803/66903894-caed6800-f035-11e9-8def-af057d21ad30.png)
maybe you should multiply the resize_size??
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