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ict_deepfake's Issues

cannot install bcolz

Python 3.6

@LightDXY

I followed the test step, but got bad result

Hi ,I followed your step, and test your data, but I dont known why I got so bad result? Could help me?

knn.so: cannot open shared object file: No such file or directory

Hi, I‘ve received an "ImportError:/home/usrname/.local/lib/python3.6/site-packages/knn_cuda/csrc/_ext/knn/knn.so: cannot open shared object file: No such file or directory" when executing ict_eval.py, along with an UserWaring. How can I fix the ImportError, is that because my compiler? Thanks.

Can you share Training Code?

Thank you very much.

Could you please release a packaged image

I got the same issue(#7 ) when I want to run the ict_eval.py. It seems like there is sth wrong with my cuda compilation, leading to an importerror. I'm really interested in your work and have a strong will to run it. I would be so grateful if you could spare time to release a packaged docker, or do you have any advice or solutions for this situation?

Can't download FF++ test set

I can't download the FF.zip file from Google Drive. Can anyone kindly provide another link, such as Baidu Cloud?

the dataset path road

If i have my own dataset,how to put them in the correct path.I am a beginner.I need some tutorial to put dataset correctly

ref

I have set the model_path,then run the eval.py,he gave me this error. the backbone model and the reference both in the folder.why he gave me this error?

python

Can you tell me What version of Python are you using. 2.7?

Experimental details and paper results

Hi, Xiaoyi, this is a remarkable work. Here, I want to ask about some question: 1. In table 1 of the paper, are the results of FFD and CNNDetect obtained by re-training the methods on FF++? If so, what is the data quality? HQ or raw or LQ? Is the data processing the same as the ICT or their own preprocessing methods? 2. As for other methods that was trained on FF++, did you use their pretrained weights for evaluation or re-train them on your unified processed image data?

Thanks!

Installation questions

There meybe some package conflicts, when using setup.sh. Here is my logs, and finally the PyTorch=1.11.0 is installed instead of 1.6.0.
And this can cause a series of nvidia driver problems. By the way, my environment is V100 with Ubuntu 16.04.6 LTS with CUDA Version 9.0.176.

(ict) User@TSR730:~/ICT_DeepFake-main$ bash setup.sh 
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting bcolz
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/5c/4e/23942de9d5c0fb16f10335fa83e52b431bcb8c0d4a8419c9ac206268c279/bcolz-1.2.1.tar.gz (1.5 MB)
Collecting mxnet
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Collecting tensorboardX
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Collecting matplotlib
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Collecting easydict
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Collecting charset-normalizer~=2.0.0
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Building wheels for collected packages: bcolz, easydict
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Successfully built bcolz easydict
Installing collected packages: urllib3, typing-extensions, six, pyparsing, idna, charset-normalizer, requests, python-dateutil, protobuf, pillow, packaging, numpy, kiwisolver, graphviz, fonttools, cycler, tensorboardX, opencv-python, mxnet, matplotlib, easydict, bcolz
Successfully installed bcolz-1.2.1 charset-normalizer-2.0.12 cycler-0.11.0 easydict-1.9 fonttools-4.33.0 graphviz-0.8.4 idna-3.3 kiwisolver-1.4.2 matplotlib-3.5.1 mxnet-1.9.0 numpy-1.21.6 opencv-python-4.5.5.64 packaging-21.3 pillow-9.1.0 protobuf-3.20.1 pyparsing-3.0.8 python-dateutil-2.8.2 requests-2.27.1 six-1.16.0 tensorboardX-2.5 typing-extensions-4.2.0 urllib3-1.26.9
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Collecting scikit-image
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Collecting PyTurboJPEG
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Building wheels for collected packages: PyTurboJPEG
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Successfully built PyTurboJPEG
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Successfully installed PyTurboJPEG-1.6.6 PyWavelets-1.3.0 Shapely-1.8.1.post1 imageio-2.17.0 imgaug-0.4.0 networkx-2.6.3 scikit-image-0.19.2 scipy-1.7.3 tifffile-2021.11.2
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Collecting scikit-learn
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训练源码

请问训练源码大概什么时候公开？

Release Training Code

@LightDXY Thanks for the code.
Please share the training code on GitHub or Email below.

Best,
[email protected]

any threshold distance value for in the whild datasets?

Just like written in the title, do you have any suggestions for threshold distance value for detecting in the wild datasets?? I was wondering if you have a optimum threshold value for overall datasets rather than using thresholds = np.arange(0, 4, 0.01) (mentioned in the code).

身份一致性

请问你们方法提到的身份一致性的身份信息可不可以理解成人脸和背景图片来自两张照片，所以他们有着不同的数据分布呢，然后利用transformer来提取这种差异。

many errors in readme

this model should be renamed model_latest.pth,or you will have bad result.Lots of errors in this code.

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