crowd_count.py 文件源码

def forward(self,  im_data, gt_data=None):        
        im_data = network.np_to_variable(im_data, is_cuda=True, is_training=self.training)                
        density_map = self.DME(im_data)

        if self.training:                        
            gt_data = network.np_to_variable(gt_data, is_cuda=True, is_training=self.training)            
            self.loss_mse = self.build_loss(density_map, gt_data)

        return density_map