Mirrors/blakeblackshear.frigate
1
0
Fork 0
mirror of https://github.com/blakeblackshear/frigate.git synced 2025-02-18 00:16:41 +01:00
Code Issues Projects Releases Wiki Activity
NVR with realtime local object detection for IP cameras
3,428 Commits 48 Branches 134 Tags 252 MiB
TypeScript 49.3%
Python 46.6%
CSS 1.1%
C++ 0.8%
Shell 0.7%
Other 1.3%
40c6fda19d
Go to file
Nicolas Mowen 40c6fda19d
Various fixes and improvements (#14492) 
* Refactor preprocessing of images

* Cleanup preprocessing

* Improve naming and handling of embeddings

* Handle invalid intel json

* remove unused

* Use enum for model types

* Formatting
2024-10-21 16:19:34 -06:00
.cspell
.devcontainer
.github
.vscode
config Improve the devcontainer experience (#3492) 2022-11-20 07:34:12 -06:00
docker Various fixes (#14410) 2024-10-17 11:02:27 -05:00
docs Ollama: minor docs tweak to specify command (#14482) 2024-10-21 09:54:55 -06:00
frigate Various fixes and improvements (#14492) 2024-10-21 16:19:34 -06:00
migrations Implement support for notifications (#12523) 2024-08-29 20:19:50 -06:00
notebooks
web reenable revalidation of first page (#14493) 2024-10-21 16:14:36 -06:00
.dockerignore Improve the devcontainer experience (#3492) 2022-11-20 07:34:12 -06:00
.gitignore
.pylintrc
audio-labelmap.txt
benchmark_motion.py
benchmark.py Custom classes for Process and Metrics (#13950) 2024-09-27 07:53:23 -05:00
CODEOWNERS Initial support for Hailo-8L (#12431) 2024-08-29 20:19:50 -06:00
cspell.json
docker-compose.yml Docs improvements (#8641) 2023-11-18 08:04:43 -06:00
labelmap.txt
LICENSE
Makefile Formatting improvements (#13765) 2024-09-17 07:39:44 -05:00
netlify.toml Docs improvements (#8641) 2023-11-18 08:04:43 -06:00
package-lock.json Implement support for notifications (#12523) 2024-08-29 20:19:50 -06:00
process_clip.py
pyproject.toml
README.md update images in readme 2024-06-08 15:37:16 -05:00

README.md

logo

Frigate - NVR With Realtime Object Detection for IP Cameras

A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.

Use of a Google Coral Accelerator is optional, but highly recommended. The Coral will outperform even the best CPUs and can process 100+ FPS with very little overhead.

  • Tight integration with Home Assistant via a custom component
  • Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary
  • Leverages multiprocessing heavily with an emphasis on realtime over processing every frame
  • Uses a very low overhead motion detection to determine where to run object detection
  • Object detection with TensorFlow runs in separate processes for maximum FPS
  • Communicates over MQTT for easy integration into other systems
  • Records video with retention settings based on detected objects
  • 24/7 recording
  • Re-streaming via RTSP to reduce the number of connections to your camera
  • WebRTC & MSE support for low-latency live view

Documentation

View the documentation at https://docs.frigate.video

Donations

If you would like to make a donation to support development, please use Github Sponsors.

Screenshots

Live dashboard

Live dashboard

Streamlined review workflow

Streamlined review workflow

Multi-camera scrubbing

Multi-camera scrubbing

Built-in mask and zone editor

Multi-camera scrubbing