About RegionalAttentionMapGenerator()

[YinWeiling]

Hi, thank you for your great work. I have some questions about the class RegionalAttentionMapGenerator().

class RegionalAttentionMapGenerator(torch.nn.Module):
    def __init__(self):
        super(RegionalAttentionMapGenerator, self).__init__()

    def forward(self, mask, prob_threshold=0.5, n_pts_threshold=10, n_bbox_loose_pixels=64):
        return RegionalAttentionMapGeneratorFunction.apply(mask, prob_threshold, n_pts_threshold,
                                                           n_bbox_loose_pixels)

https://github.com/hzxie/RMNet/blob/master/extensions/reg_att_map_generator/__init__.py
what does the parameters n_pts_threshold and n_bbox_loose_pixelsmean?

[hzxie]

1. n_pts_threshold means when the number of pixels is smaller than the threshold, global matching will be triggered.
2. n_bbox_loose_pixels means that the border of the bounding boxes will be expanded n pixels after warpping.