NVR with realtime local object detection for IP cameras
Go to file
Rémi Bédard-Couture 592b645231
Add support for TensorRT v10 (multiple api calls have changed) (#11166)
* Add support for TensorRT v10 (multiple api calls have changed)

* Remove unnecessary size check in TensorRT v10 block

* Refactor to reduce code duplication

* Fix wrong function name in new _get_binding_dtype function and only return input check (not assertion) in new _binding_is_input function

* Add space around TRT_VERSION variable assignment (=) to respect linting

* More linting fix

* Update frigate/detectors/plugins/tensorrt.py

Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>

* More linting

---------

Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
2024-05-22 06:57:52 -06:00
.cspell cspell fixes (#11447) 2024-05-20 07:37:56 -06:00
.devcontainer Auth! (#11347) 2024-05-18 10:36:13 -06:00
.github Reimplement support for rknn detector (#11365) 2024-05-21 17:50:03 -05:00
.vscode
config
docker Reimplement support for rknn detector (#11365) 2024-05-21 17:50:03 -05:00
docs Reimplement support for rknn detector (#11365) 2024-05-21 17:50:03 -05:00
frigate Add support for TensorRT v10 (multiple api calls have changed) (#11166) 2024-05-22 06:57:52 -06:00
migrations Auth! (#11347) 2024-05-18 10:36:13 -06:00
web Clean up config editor (#11474) 2024-05-21 13:06:17 -05:00
.dockerignore
.gitignore Small autotracking changes (#9571) 2024-02-02 06:23:14 -06:00
.pylintrc use fstr log style 2021-02-25 07:01:59 -06:00
audio-labelmap.txt Audio events (#6848) 2023-07-01 08:18:33 -05:00
benchmark_motion.py
benchmark.py
CODEOWNERS AMD GPU support with the rocm detector and YOLOv8 pretrained model download (#9762) 2024-02-10 06:41:46 -06:00
cspell.json cspell fixes (#11447) 2024-05-20 07:37:56 -06:00
docker-compose.yml
labelmap.txt
LICENSE switch to MIT license 2020-07-26 12:07:47 -05:00
Makefile increment version 2024-01-31 06:23:54 -06:00
netlify.toml
process_clip.py chore: fix some typos in comments (#11028) 2024-04-20 06:16:43 -05:00
pyproject.toml Docs improvements (#8641) 2023-11-18 08:04:43 -06:00
README.md Clarify docs about rtmp (#5052) 2023-01-13 07:20:25 -06:00

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

Integration into Home Assistant

Also comes with a builtin UI:

Events