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mse and ssim #2
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Hi. I'm not sure what is the exact issue that you are encountering, but you might want to inspect the code in this repository to see how MSE and SSIM are calculated after inference. You can find related code in eval.py and eval_metrics.py scripts. With the code in this EVREAL repository, using a command such as |
Below is my evaluation code. I would like to know where my problem occurred and why I am unable to calculate a result that matches the paper. `import argparse import models def main():
for idx, path in enumerate(sorted(glob.glob(os.path.join(folder_gt, '*')))):
|
I am now training a model based on event reconstruction images, but when evaluating, MSE and SSIM have not been able to achieve the desired results.For example, when I reproduced E2VID, the values of mse and SSIM did not reach the effect of the paper, and the gap was even very large.. I would like to ask what changes you made before calculating MSE and SSIM?
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