frigate-events VS CompreFace

Compare frigate-events vs CompreFace and see what are their differences.

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frigate-events CompreFace
1 28
2 4,057
- 6.1%
4.4 7.7
about 3 years ago 3 days ago
JavaScript Java
- Apache License 2.0
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.

frigate-events

Posts with mentions or reviews of frigate-events. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-21.

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.

What are some alternatives?

When comparing frigate-events and CompreFace you can also consider the following projects:

frigate - NVR with realtime local object detection for IP cameras

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

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!

facenet-pytorch - Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

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