EdSong

> Hi, I'm interested with this model. But I can't run the test without your pretrained weights. Appreciated if you can offer the pretrained weights. Thx. > My email: [[email protected]](mailto:[email protected])...

> 没太明白原文， 训练数据是直接从coco中随机采样5000张content 和 style 图像即可吗，等待您的回答 原文应该是随机从COCO中采样content和style

> 没用coco试过，小作坊，弄不了

> RuntimeError: Error(s) in loading state_dict for Model: > Missing key(s) in state_dict: "Biliteral_Grid.SB1.conv1.conv2d.weight", "Biliteral_Grid.SB1.conv1.conv2d.bias", "Biliteral_Grid.SB1.conv2.conv2d.weight", "Biliteral_Grid.SB1.conv2.conv2d.bias", "Biliteral_Grid.SB1.conv_short.weight", "Biliteral_Grid.SB1.conv_short.bias", "Biliteral_Grid.SB2.conv1.conv2d.weight", "Biliteral_Grid.SB2.conv1.conv2d.bias", "Biliteral_Grid.SB2.conv2.conv2d.weight", "Biliteral_Grid.SB2.conv2.conv2d.bias", "Biliteral_Grid.SB2.conv_short.weight", "Biliteral_Grid.SB2.conv_short.bias", "Biliteral_Grid.SB3.conv1.conv2d.weight", "Biliteral_Grid.SB3.conv1.conv2d.bias", "Biliteral_Grid.SB3.conv2.conv2d.weight", "Biliteral_Grid.SB3.conv2.conv2d.bias", "Biliteral_Grid.SB3.conv_short.weight",...

> If my test picture is a picture of any resolution size, such as 1k, 2k, can I omit this step? > > transform = transforms.Compose([ > transforms.Resize((512, 512), Image.BICUBIC),...

> However, the author stated in the original text that it can be inferred at a higher resolution. The resize (512*512) limits this theory. Where is the problem, can you...

use MSCOCO

> Nice work. > > Now I have tried to train on MirFlickr as content and COCO2014 as style. > (100k to 82k images (182k in total)). But batch was...

这个报错太短了，我也不清楚具体啥问题，建议逐行debug找一下问题。 我记得ap_class应该是一个list，你debug到这一行看看是不是一个list，然后看看这个变量是在哪里赋值的

Maybe the problem is the environment. Try using pytorch1.0.0.