Method filter

lib/model/HGPIFuNet.py:57–66

Filter the input images store all intermediate features. :param images: [B, C, H, W] input images

(self, images)

        init_net(self)

    def filter(self, images):
        '''
        Filter the input images
        store all intermediate features.
        :param images: [B, C, H, W] input images
        '''
        self.im_feat_list, self.tmpx, self.normx = self.image_filter(images)
        # If it is not in training, only produce the last im_feat
        if not self.training:
            self.im_feat_list = [self.im_feat_list[-1]]

    def query(self, points, calibs, transforms=None, labels=None):
        '''