the Question about eval result!! about mixnmatch HOT 3 CLOSED

Hi,

I think your concern lies in the purposes of two modes. The purpose of feature mode is to maintain exactly pixels level of shape+pose information from one reference image. As the document says, in this mode pose(z) source image will be ignored, and both shape and pose information are taken from the p reference image.

That is why in your results, feature-2.png has the exact pixel-aligned shape with shape-2.png, while code-2.png has the shape of shape-2.png and pose of pose-2.png

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thank your reply ， it is clearly。

I am still training first stage。I am using one RTX 2080 GPU and every iteration about 0.3s ， so the 600 epochs about 3 days， is right？？

How long does you train all stages finish？？ a week？

and did you test image of other birds than not in CUB-birds dataset？

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For CUB the first stage training usually 500 epochs is fine. The second stage training is faster, usually take less than one day. The default total epochs for the second stage are 400, typically it converges around 100-200 epochs depending on datasets.

we tested out model on birds other than from CUB, see FIg6 and Fig7 in the paper.

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