GCNetwork
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LinHungShi
def createFeature(input, layers): res = layers[0](input) tensor = res for layer in layers[1:]: if isinstance(layer, Add): tensor = layer([tensor, res]) res = tensor else: tensor = layer(tensor) return tensor Why...
Dear Lin, have you got the error when test.py The test commmad is: **python test.py -data data/test -pspath prediction** The results are: File "test.py", line 67, in Predict() File "test.py",...
Hi, I run the test commend "python test.py -data driving_RGB_cleanpass/ -pspath driving_RGB_cleanpass/a-out/ -bs 1 " and I get the problem as follow. Use shared weight for first stage Traceback (most...
README.md says - "Model performance can't acheive that in the original paper." Can you please share what is the current performance you the model achieves? Thanks!
Hi, I've download your code and would like to do testing first. When running test.py, I got the error "ValueError: The channel dimension of the inputs should be defined. Found...
I thought the cost volume is constructed by left cost features and the corresponding right cost features with deviation d. But I wonder that for Middlebury dataset, the disparity range...
In order to make final layer (soft argmin) don't limits the output value. I use linear combinations to predict. (my result is good with your pre-trained model in softargmin) my...
Issue Description: createGCNetwork throws an TypeError my clone version(the newest): 684ad7ff4697a641601f583f0f3f6bcae25f7506 my cmd: python3 test.py -data data/test_256 -pspath result (the 'test_256' is the folder where i put my test pictures...
