facenet-pytorch VS DeepFake-Detection

Compare facenet-pytorch vs DeepFake-Detection and see what are their differences.

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facenet-pytorch DeepFake-Detection
1 1
2,867 324
- 3.4%
1.5 0.0
5 months ago 2 months ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of facenet-pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-25.
  • Query regarding Multiple face recognization system
    2 projects | reddit.com/r/MLQuestions | 25 Nov 2021
    It's generally better to split the task into a multiple tasks. First I'd want to detect and extract faces. There are a number of pretrained models that you could use for that, e.g. https://github.com/timesler/facenet-pytorch, https://github.com/opencv/opencv/tree/master/data/haarcascades. Once you've extracted faces, you can train a facial recognition using something like a siamese network as you normally would.


Posts with mentions or reviews of DeepFake-Detection. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-07.

What are some alternatives?

When comparing facenet-pytorch and DeepFake-Detection you can also consider the following projects:

anime-face-detector - Anime Face Detector using mmdet and mmpose

pytorch2keras - PyTorch to Keras model convertor

transfer-learning-conv-ai - 🦄 State-of-the-Art Conversational AI with Transfer Learning

CompreFace - Leading free and open-source face recognition system

dfdc_deepfake_challenge - A prize winning solution for DFDC challenge

deepfake-scanner - Deepfake Scanner by Deepware.

OpenCV - Open Source Computer Vision Library