IPCGANs-Pytorch
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guyuchao
An implementation of《Face Aging with Identity-Preserved Conditional Generative Adversarial Networks》
save_image(Reverse_zero_center()(source_img_128),filename=os.path.join(save_dir,"batch_%d_source.jpg"%(val_idx))) File "/home/cv-lab/anaconda3/envs/Beekam/lib/python3.7/site-packages/torch/autograd/grad_mode.py", line 28, in decorate_context return func(*args, **kwargs) TypeError: save_image() missing 1 required positional argument: 'fp'
I'm Unable to download the model with this link you mentioned in github : https://pan.baidu.com/s/1a6YkVMmT1HcGvgX0YLO9kQ
https://github.com/guyuchao/IPCGANs-Pytorch/blob/df3e28815eadb99ba9a74af6d58b9de56506a00b/model/IPCGANs.py#L153 https://github.com/guyuchao/IPCGANs-Pytorch/blob/df3e28815eadb99ba9a74af6d58b9de56506a00b/model/IPCGANs.py#L173 https://github.com/guyuchao/IPCGANs-Pytorch/blob/df3e28815eadb99ba9a74af6d58b9de56506a00b/model/IPCGANs.py#L166 https://github.com/guyuchao/IPCGANs-Pytorch/blob/df3e28815eadb99ba9a74af6d58b9de56506a00b/model/IPCGANs.py#L175
I noticed that for creating train_age_group_x.txt and test_age_group_x.txt, you just use the same list train_age_groupx (not use test_age_groupx). Is it fine?
Can u public weight pretrained to google driver ?, we cannot download from baidu. Thank u so much
hi I have placed the CACD2000 by creating a dataset folder after executing command **preprocess/preprocess_cacd.py ERROR occured FileNotFoundError: [WinError 3] The system cannot find the path specified: '/home/guyuchao/Dataset/OriginDataset/CACD\\CACD2000'** please help...
Hi @guyuchao , I see your project is very interesting and I want to study it. I tested with model you provided us, but I wondering this is not best...
