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deepfakes_faceswap's Issues

Amount of RAM needed?

I'm trying to train the network with the example provided, and it crashes with this error:

"Resource exhausted: OOM when allocating tensor with shape"

Python reached 3.7GB, and my compute has 8GB, had a peak of 9.8GB used.

I'm using Tensor Flow on CPU, How Much RAM is needed ?

How to prepare my train data?

if i want to train it on my own face data!how to prepare the cropped face?crop face by face detector or landmark detector?thanks

Dead project ? Let's move on

No activity from owner since the beginning ?
I created a repo on https://github.com/deepfakes/faceswap

If you are interested in contributing to the project, please join in. Any PR with useful contrib will grant you a privileged access if you ask for it

Disclaimer : I am not 'deepfakes'. If you are deepfakes and want to get the ownership of the repo, let me know, I'll tell you how to do

So when i want to swap a new face to target face , i need to train from start?

@joshua-wu
thanks for your wonderful work. I have some questions that hope you can help me:

  • this code is about swap trump&cage, if i want to swap another people's face to trump or cage, do i need to train from start or fine tune on the trained model or just to change the input?

  • i notice the side face and when face was covered by hand or other things, the results is not good, do you think adding those data will improve the results?

  • how about have high resolution image as training data? will it improve results ignore the compute complex?

has obvious signs of similar ps

训练之后测试感觉有明显的类似ps的痕迹.
看deepfakes上传的图片感觉几乎没有痕迹.
是要继续训练还是有其他的方法?
有没有人一起讨论一下?

Sorry guys..
In English.
Translated by google.

After training the test has obvious signs of similar ps.
Look at the image of deepfakes upload almost no trace.
Is it necessary to continue training or are there other ways?
Anyone discuss it?

go by race

can we have an option to change the race of the women?

FileNotFoundError: [Errno 2] No such file or directory: 'data/cage'

你好我费尽千辛万苦终于一步一步将环境装好,大概是:
安装英伟达linux驱动
安装cuda9.1
安装cuDNN7.0.5
安装python3
安装Opencv
安装tensorflow
安装tensorflow-gpu
安装Keras
然后,提示
ImportError: libcublas.so.8.0: cannot open shared object file: No such file or directory
根据https://devtalk.nvidia.com/default/topic/1026198/cuda-9-0-importerror-libcublas-so-8-0/%5C
又回去安装cuda8.0和cuDNN。。。
然后又提示ImportError: libcudnn.so.6: cannot open shared object file: No such file or directory

[root@gtx970 deepfakes_faceswap]# cd /usr/local/cuda-8.0/lib64
[root@gtx970 lib64]# ln -s libcudnn.so.7.* libcudnn.so.6
之后[root@gtx970 deepfakes_faceswap]# python3 train.py 却又出现
FileNotFoundError: [Errno 2] No such file or directory: 'data/cage'
我尝试自己建这样的目录
[root@gtx970 deepfakes_faceswap]# mkdir data [root@gtx970 deepfakes_faceswap]# cd data/ [root@gtx970 data]# mkdir trump
却还是不行。。

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