hubery4

@Jack47746 @pridexin The error of the problem is still the dimension of true_disp and pred_disp, where I put the **‘:’** in the wrong place. **true_disp has dimension (1, 368, 1232),...

It seems the problem of the dimension of **'pred_disp'**. **'true_disp'** has 3 dimension while **'pred_disp'** has 4. You need add **':'** in pred_disp. 

@Jack47746 I have also encountered this problem both in Colab and my own computer. It seems the RAM memory problem. It needs much more memory (>32GB). But I have not...

@Jack47746 Changing batchsize seems not working. I have WeChat. You could directly email me ([email protected]) to give me the wechat number and I can add your wechat.

@hnsywangxin Hi, how do you fix the problem that error = 0.000? I also have this problem even in Python-3.8.

> Hi @JiaRenChang , > > When I use my dataset to train the network, the 3-px error is always 0.000 and the output disparity is black using the model....

@JiaRenChang Thank you for the suggestion. I have tried batch-size=1, it still had this problem. I also tried in Google Colab. Each time the process will stop after 1 training...

@JiaRenChang Thank you I have figured out this problem. It is the dimension problem of true_disp and pred_disp.