CompreFace VS facenet-pytorch

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

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CompreFace facenet-pytorch
28 4
3,810 4,072
6.0% -
8.3 3.8
4 days ago 16 days ago
Java Python
Apache License 2.0 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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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.

CompreFace

Posts with mentions or reviews of CompreFace. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-01.

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 CompreFace and facenet-pytorch you can also consider the following projects:

double-take - Unified UI and API for processing and training images for facial recognition.

frigate - NVR with realtime local object detection for IP cameras

Home Assistant - :house_with_garden: Open source home automation that puts local control and privacy first.

Face Recognition - The world's simplest facial recognition api for Python and the command line

insightface - State-of-the-art 2D and 3D Face Analysis Project

librephotos - A self-hosted open source photo management service. This is the repository of the backend.

facenet - Face recognition using Tensorflow

Milvus - A cloud-native vector database, storage for next generation AI applications

react-native-camera - A Camera component for React Native. Also supports barcode scanning!

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

OpenCV - Open Source Computer Vision Library

core - .NET news, announcements, release notes, and more!