GoFaceRec VS mediadevices

Compare GoFaceRec vs mediadevices and see what are their differences.

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GoFaceRec mediadevices
1 5
27 509
- 1.2%
6.5 7.9
11 months ago 7 days ago
Go Go
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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

GoFaceRec

Posts with mentions or reviews of GoFaceRec. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-01.
  • Introducing GoFaceRec: A Go-based Face Recognition Tool Using Deep Learning
    2 projects | /r/golang | 1 Jul 2023
    I'm excited to share a project I've been working on: [GoFaceRec](https://github.com/modanesh/GoFaceRec). This is a face recognition tool built in Go, leveraging the power of MTCNN for face detection and QMagFace for face recognition. The project was born out of a desire to bring the power of deep learning models to the Go community. After much effort, I concluded that the best approach was to convert models to TensorFlow and then work with tfgo, a Go binding to TensorFlow's C API. In GoFaceRec, the input image is first processed, and then its embeddings are compared against the ones already computed from our dataset. If the distance between embeddings falls below a specific threshold, then the face is considered as unknown. Otherwise, the proper label will be printed. The project is tested using Go 1.17 on Ubuntu 20.04. For gocv, the version of OpenCV installed is 4.7. And for tfgo, I installed [this version](https://github.com/galeone/tfgo) instead of the official one. You can install this package by running the following command in your project: > go get github.com/modanesh/[email protected] You can find more detailed instructions on how to use the tool in the [GitHub repository](https://github.com/modanesh/GoFaceRec). I welcome any feedback, suggestions, or contributions to the project. I'm looking forward to seeing how the community uses GoFaceRec and hope it can be a valuable tool for those working on face recognition tasks. Happy coding! 🚀

mediadevices

Posts with mentions or reviews of mediadevices. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-05.

What are some alternatives?

When comparing GoFaceRec and mediadevices you can also consider the following projects:

go-face - :mag: Face recognition with Go

rtsp-simple-server - Also known as rtsp-simple-server. ready-to-use RTSP / RTMP / LL-HLS / WebRTC server and proxy that allows to read, publish and proxy video and audio streams. [Moved to: https://github.com/aler9/mediamtx]

photo_id_resizer - Resize photo ID images using face recognition technology

ffmpeg-to-webrtc - Stream video from ffmpeg to web(rtc)

Pion WebRTC - Pure Go implementation of the WebRTC API

wrtc-to-ffmpeg - Pipe WebRTC MediaStreams to/from FFMPEG.

go-m3u8 - Parse and generate m3u8 playlists for Apple HTTP Live Streaming (HLS) in Golang (ported from gem https://github.com/sethdeckard/m3u8)

rtp - A Go implementation of RTP

RTSPtoWSMP4f - RTSP Stream to WebBrowser MSE over WebSocket based MP4f segments

bot_box - Universal remote control for robots. Works via the internet.

Video-Hub-App-remote - Remote control for Video Hub App