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panorama warping #6
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The warping operation is quite trivial, we try to implement it but give up soon. Later, we directly obtained the warped image from author of [1]. |
OMG,you reply very quickly. Thanks a lot. |
Hi, fnzhan: |
You can divide a validation set, and compute the L1 distance between the gaussian maps reconstructed by predicted parameters and gt parameters as the validation accuracy. Then the best regression model can be selected. |
TKS very much for your helpNow,I have some problems?Please guide me! |
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Hi, fnzhan: |
Sorry for the late reply, there is too many things and deadlines. Definitely, the same dataset division for regression and generation. |
Hi, fnzhan:
It is mentioned in the article, when extracting crops from panorama,you apply the same image warping as in [1] to each image.
There is no open source code of [1], do you implement this method by yourself or ask the author for source code. Or you don't apply this method while training the network.
Best wishes.
[1]Learning to predict indoor illumination from a single image. In: SIGGRAPH Asia (2017)
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