Open Wuuu3511 opened 2 years ago
I suspect that the author is just looking for innovations. This monocular depth estimation has no effect on training at all, and the final loss L1 weight is 0
I suspect that the author is just looking for innovations. This monocular depth estimation has no effect on training at all, and the final loss L1 weight is 0
thanks for your reply! but in the paper , this loss is helping to learn more distinguishing Fpn features.I think it should be used while training
thanks for your code! I have a question about MVS4Net.py “line 109 outputs = self.mono_depth_decoder(outputs, depth_values[:,0], depth_values[:,1])” depth_values[:,-1] seems to d_max rather than depth_values[:,1]. Is there a problem with my understanding?