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As in the experiments, MS-GCNet is much better than MS-PSMNet. But the parameters for cost aggregation of them are close, 1.9M vs 2.3M? What is the reason? Is it because the cost volume of GCNet is in…
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When I run train.py, the following error appears. Do you know why?
PSMNet-TensorFlow$ python train.py
2018-12-05 20:53:51.903970: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlo…
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Hi, @zyf12389
Thanks for you code! Could you tell me that can this implementation achieves the result authors shown in GC-NET paper or how this implementation performs?
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have you trained this on the stereo dataset?
how about the performance?
thanks!
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Hi,thank you very much for your great work!
The image size to test SceneFlow datasets in your paper is 960x540,
![捕获](https://user-images.githubusercontent.com/62138387/184632264-b9af22ad-65de-4d08…
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Hello,
I have read code of your paper psmnet,in file finetune.py , the line 157 ,the input is original image, and the output is an resized image crops . which step did the cropping taken place?
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Dear@JiaRenChang ,When I used PSMNet to train SceneFlow datasets, the loss was quite volatile. Is the data set not clean? And how do I deal with it? Should I delete some unreliable data? Look forward …
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I noted that in your model, everywhere that BatchNorm is used (track_running_stats) is False!
But in this one part here, it is True.
https://github.com/JiaRenChang/PSMNet/blob/master/models/subm…
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with the same size of pictures.
I could train my own dataset with the PSMNet code, the train process needs about 8 G GPU memory, but failed to test on it, the error says ' out of memory', why? @JiaR…