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View Code? Open in Web Editor NEW游戏捏脸,基于神经风格迁移框架生成逼真人脸
Home Page: https://huailiang.github.io/blog/2019/face/
License: MIT License
游戏捏脸,基于神经风格迁移框架生成逼真人脸
Home Page: https://huailiang.github.io/blog/2019/face/
License: MIT License
数据集里采样出的发型数据出现错误,四个发型,对应的label只有[0, 0, 1]、[0,1,0]两种标签
想问下evaluate 这个阶段的操作没有开源嘛?
CFUtilPoolLib.dll主要处理的是哪个过程?
Hi,when I do inference, it has errors like this:size mismatch for 0.0.weight: copying a param with shape torch.Size([95, 512, 4, 4]) from checkpoint, the shape in current model is torch.Size([99, 512, 4, 4]). If I change params_cnt from 99 to 95, it will has a new error:index 96 is out of bounds for dimension 1 with size 95, because of self.argmax_params(t_params.data, 96, 3). What should I do? Changing argmax_param or could you please share model which is 99 dimension. Looking forward to your reply!@huailiang
我在按照Readme文件中进行训练时,在
Line 44 in b931494
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xe1 in position 0: invalid continuation byte
添加新的人物模型资源,制作更丰富的数据,好奇素材怎么准备,需要用到什么工具。 刚做这个,摸索中。
直接用res/cp/resnet18-5c106cde.pth么
没有数据集啊,如果纯做测试,跑哪个代码啊
您好,我下载了您的代码以及在readme.md中所提到的所有模型,并且尝试以evaluate模式运行代码。但是发现还是提示少了"79999_iter.pth"这个模型文件。请问您可以分享给我这个模型文件吗?
请问下这个../dat/79999_iter.pth是怎么来的呢
File "evaluate.py", line 130, in <module> img_1 = faceparsing_ndarray(image, '../dat/79999_iter.pth', cuda) File "evaluate.py", line 91, in faceparsing_ndarray build_net(cp, cuda) File "evaluate.py", line 81, in build_net _net_, _to_tensor_ = _build_net(cp, cuda) File "evaluate.py", line 61, in _build_net net.load_state_dict(torch.load(cp, map_location="cpu")) File "/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/torch/serialization.py", line 382, in load f = open(f, 'rb') FileNotFoundError: [Errno 2] No such file or directory: '../dat/79999_iter.pth'
请教下,为啥您不是训练extractor_model(从image 到param),而是训练从param到image啊。
ERROR: Could not find a version that satisfies the requirement lightcnn (from versions: none
)
ERROR: No matching distribution found for lightcnn
这里是不是应该把模型参数导入进来?新手玩家,问题太简单,多多谅解,麻烦了!
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