evaluate problem

[D0ub1ePieR]

Is the evaluation progress like input 1920 1080 alpha 1920 1080 trimap 1920 1080 then resize input and trimap to 320 320 input 320 320 trimap 320 320 to the model, then get the prediction 320 320 prediction 320 320, resize to 1920 1080 pred 1920 1080 alpha 1920 * 1080 finally compare the resized prediction and the alpha(gt)

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i test on the DIM-tensorflow version and cannot get the number in paper, because the sad,mse,conn and grad are effected by the image size Thanks

[foamliu]

Please take a look at this script -- eval.py, you don't need to resize, the network can be adapted to different sizes.