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a problem about demo_GFC_training.m #6
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Em...looks weird. It seems that both the output and GT parsing is completely wrong. My testing looks good. Would you first test my initial Model_G (trained with L1 only) and parsing model, separately? At least I think GT parsing should be right. Check if some experimental settings are modified, e.g. the input value range (should be between [-1,1]). |
I only changed the training set and then cropped it to 128*128, I didn't change anything else. The input value also be between [-1,1]. I'm so confused. |
@994088895 I think the problem is the output of Model_G. Since the output is always white, the parsing is not right for sure. Did you download my initial Model_G that trained with the reconstruction only? |
I download the model follow your instruction about training , that is the Face128_Model_G_recons.caffemodel and Model_parsing.caffemodel. And the output not always white, it will change another color such as black, red and so on in a small time.the parsing is alwas orange color. |
Can you resend me your implementation about training to my email [email protected], thank you for helping me. I can't find what's wrong with me. |
The test code is right to run on my machine with your final face completion model. |
it's so wired, the dataset is just cropped to 128*128, no other preprocess on it? |
Okay, what the result will be if you use my final model to start the training? The pre-processing step is already included in the code. I guess you can try to debug by setting breakpoints in Matlab, right? |
I just use your final model to test, not training. I will try to debug it, thank you. |
@DecenWill @994088895 it looks you guys run this successfully. but i have a lot of problems running this, so can you provide a email or we chat or other things that i can contact you for further information?thank you |
I have encountered a problem when I ran the demo_GFC_training.m, the output always be the same color in a small phase, and the parsing always orange color . I dont't know the reason about it. I send you a picture about it. Thank you!
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