DengYong

May I ask how do you downsample the `pred_mesh` from 12288 vertices to 6890 vertices in Line 170 shown below? It seems to be selecting a predefined subset from 12288...

Thanks a lot!

@JiaRenChang @givasile I got the same problem here. Using the pre-trained model on SceneFlow, the final testing loss is around 6. If the output multiplied by 1.15, then the testing...

@givasile I got total test loss = 1.119, which is the same as last row of Table 2. However, I changed the network a little bit. The dataset I used...

@zhFuECL You mean if you test the model later (by loading model), you will get a testing loss which is different from the one you get when you finish the...

@zhFuECL I have re-tested the model I trained. I get the same result as the one I got after the training. Did You get a different testing lost? It shouldn't...

@zhFuECL The list is rather long, I only copy the useful part. (Python 2.7.12) numpy==1.15.0 Pillow==5.2.0 torch==0.4.1 torchvision==0.2.0 #Cuda compilation tools, release 9.1, V9.1.85 Did you change your code after...

@zhFuECL I use 4 GPU. Did you figure out why the result of Sceneflow gets poor in retest?

@zhFuECL As given by the program, "epoch 300 total 3-px error in val = 1.831". I haven't used the official MATLAB code from KITTI to exam the result yet.

@zhFuECL Sorry for the late reply. My network is changed a little bit. So, my model cannot be loaded into PSMNet directly. But I tend to believe that my modification...