DeepFake-Detection VS facenet-pytorch

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

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DeepFake-Detection facenet-pytorch
1 4
464 4,072
5.6% -
0.0 3.8
over 1 year ago 16 days 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.
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DeepFake-Detection

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.

facenet-pytorch

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 2023-04-22.
  • [D] Fast face recognition over video
    3 projects | /r/MachineLearning | 22 Apr 2023
    Hijacking this comment because i've been working nonstop on my project thanks to your suggestion. I'm now using this https://github.com/derronqi/yolov8-face for face detection and still the old face_recognition for encodings. I'm clustering with dbscan and extracting frames with ffmpeg with -hwaccel on. I'm planning to try this: https://github.com/timesler/facenet-pytorch as it looks like it would be the fastest thing avaiable to process videos? Keep in mind i need to perform encoding other than just detection because i want to use DBscan (and later also facial recognition, but this might be done separately just by saving the encodings). let me know if you have any other suggestions, and thanks again for your help
  • Random but unrepeated combinations?
    2 projects | /r/learnprogramming | 3 Dec 2022
    For now, I am trying to evaluate and get the accuracy of the FaceNet module. Like this example on facenet-pytorch, getting the accuracy relies on this file (pairs.txt) provided by the official site. Format description below:
  • Query regarding Multiple face recognization system
    2 projects | /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.

What are some alternatives?

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

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

CompreFace - Leading free and open-source face recognition system

OpenCV - Open Source Computer Vision Library

pytorch2keras - PyTorch to Keras model convertor

Swap-Mukham - A simple face swapper tool.

facenet - Face recognition using Tensorflow

OpenSeeFace - Robust realtime face and facial landmark tracking on CPU with Unity integration

dfdc_deepfake_challenge - A prize winning solution for DFDC challenge

deface - Video anonymization by face detection

jax-resnet - Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).

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

DEEPFAKE-AUDIO - An audio deepfake is when a “cloned” voice that is potentially indistinguishable from the real person’s is used to produce synthetic audio.