train-CRF-RNN
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How to output pixel_accuracy,mean_accuracy,mean_IU and frequency_weighted
Thanks for this code, it is very helpful for me. I have no idea how to output pixel_accuracy,mean_accuracy,mean_IU and frequency_weighted.I saw these words in the "test_model.py" and "test_model.py" is called in "solve.py". But it seems that the code "subprocess.call(['python', 'test_model.py', str(i)], stderr=FNULL)" in "solve.py" has never been excecuted. Is there something wrong with my code? What's more, if we test the network by "test_model.py", how about the test code from caffe, does it also runs? I will be appreciated if you can help me .Thank you!