alexliyang

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excuse me, I donnot know this mean? how to keep R/G/B ration?

the network blocked upload image :( the train data I used likes trainning 3DLUT model, 480p jpg file as the original , and use expertC's as the ground truth, then...

here is the goundtruth: ![a0001_t](https://user-images.githubusercontent.com/31059043/152709666-38ac09f6-5c21-42ef-b08a-d095192118e6.jpg) and the inference out is ![out](https://user-images.githubusercontent.com/31059043/152709689-132f1711-1880-4565-98e0-a5dd7a46289d.png) I think they have more difference, how to improve the training model? > Can you she image output that...

这里采用了adjust_bn_momentum后,推理的结果和没有采用是有差异的,我转换到onnx后,差异会变大,这种情况下应该怎么处理更好? 谢谢先

ARM 平台支持的算子相对比较少,比如conv_transpose, PRelu, spacetodepth, depthtospace, 是否能增加一下?