zws-2019

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hi, I also encountered this problem. Have you solved it?

> 还有多图形状不一致的时候,需要resize到同一个形状才可以。我是修改了data_mix.py里Sample_dataset里对多图做了统一形状。 > > 但还是会在build_mlp.py里出错。然后我又把sub_image reshape的第一维改成cnt(单图是1,多图就是图片数量),后来就正常运行起来了。 > > sub_img = img.reshape(cnt,3,H//336,336,W//336,336).permute(0,2,4,1,3,5).reshape(-1,3,336,336).contigious() > > ![图像](https://private-user-images.githubusercontent.com/17981649/329533521-1addc6b9-bae3-434e-acfe-9ef4ce0d7a76.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MTUzMzM3NDcsIm5iZiI6MTcxNTMzMzQ0NywicGF0aCI6Ii8xNzk4MTY0OS8zMjk1MzM1MjEtMWFkZGM2YjktYmFlMy00MzRlLWFjZmUtOWVmNGNlMGQ3YTc2LnBuZz9YLUFtei1BbGdvcml0aG09QVdTNC1ITUFDLVNIQTI1NiZYLUFtei1DcmVkZW50aWFsPUFLSUFWQ09EWUxTQTUzUFFLNFpBJTJGMjAyNDA1MTAlMkZ1cy1lYXN0LTElMkZzMyUyRmF3czRfcmVxdWVzdCZYLUFtei1EYXRlPTIwMjQwNTEwVDA5MzA0N1omWC1BbXotRXhwaXJlcz0zMDAmWC1BbXotU2lnbmF0dXJlPTFiMTVmMjU1OTc0NzI5MjVlMzE1YmYwYmQzNmU1NDcxN2Q5ODljMzYxNjdjOGEyNjNlOWE4ZWE2YmUxMWI1NDcmWC1BbXotU2lnbmVkSGVhZGVycz1ob3N0JmFjdG9yX2lkPTAma2V5X2lkPTAmcmVwb19pZD0wIn0.hTsVreBSIJ1oTRQrdOoHQAm8c7BW971W2tPxyappsks) 这样看起来是可以跑通 4khd模型的处理逻辑看起来不支持多图 比如这里只把第一个image_feature作为glb_img,如果我有多图,逻辑就会有问题 ``` for [h, w] in shapes: B_ = h*w glb_img = image_features[:1] ###...