bcmi / bargainnet-image-harmonization Goto Github PK
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License: MIT License
BargainNet: Background-Guided Domain Translation for Image Harmonization. Useful for Image harmonization, image composition, etc.
License: MIT License
When I try to run this repo, the error is reported.
"AttributeError: module 'albumentations.augmentations.transforms' has no attribute 'Resize'"
details:
File "/BargainNet-Image-Harmonization/data/base_dataset.py", line 68, in get_transform
transform_list.append(transforms.Resize(256,256))
Hello, thanks for opening source the great project.
I have 2 issuss when reproduce the project:
thanks in advance!
您好,请问一下代码是只支持单卡训练么?可以进行多卡训练么
How to set other batchsize?
hi, this is a great job! I noticed that the output images were all compressed to 256 x 256d size. What should I do if I want to keep the size of the input original?
Looking forward to your reply!
when i download trained model ,put it under ./checkpoints/<experiment_name>/. <experiment_name> What is this? it is latest_net_E.pth or latest_net_G.pth?
when run test.py : python test.py --name latest_net_G.pth --model bargainnet --dataset_mode iharmony4 --is_train 0 --norm batch --preprocess resize --gpu_ids 0 --input_nc 20 --netG s2ad
i have a error,FileNotFoundError: [Errno 2] No such file or directory: './checkpoints\latest_net_G.pth\test_opt.txt',what is test_opt.txt.i
don,t have this file.
Hi, I'd like to give this a try but I'm having trouble downloading the models. Is there another location that you could upload them? Thanks very much!
While evaluating the model, it seems like the real (target) image has to be passed as input for the discriminator to create a bg_style_map, which is then passed through the generator concatenated with the composite. What should be done when we do not have the real image? Isn't the aim to find the real image?
hi, this is a great job! I want to apply the pre-trained model to the animation image domain, but I find that the performance is not as good as that of the real image domain. I hope to get your suggestions on how to improve the performance of the model in animation image domains:
(a)composite image
(b)Code generated image
Looking forward to your reply!
Can you please update the license of the repo? Thanks!
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