HASS-Deepstack-object
frigate
HASS-Deepstack-object | frigate | |
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2 | 291 | |
403 | 14,840 | |
- | - | |
5.3 | 9.9 | |
about 1 year ago | 1 day ago | |
Python | Python | |
MIT License | MIT License |
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HASS-Deepstack-object
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Deepstack: Open-Source AI Server
Hi everyone, I am Moses Olafenwa, the CEO and Head of Operations of the company DeepQuest AI (now a UK company based in Greenwich, London). First, apologies for the missing information of our names on the about page. The deepquestai.com website hasn't been updated recently due to our team being a small one and having lots to do.
About DeepStack: DeepStack is an artificial intelligence server we developed late 2018 to empower developers to easily setup, integrate and leverage AI functionalities (blog post: https://medium.com/deepquestai/deepstack-build-ai-powered-ap... ) fully on the edge or their private cloud machines.
Today, DeepStack is available as a Docker image on Docker Hub and native application for Windows, with support for CPUs, modern NVIDIA GPUs, Jetson devices, ARM devices, Linux and MacOS with over 10 millions installs on Docker Hub ( https://hub.docker.com/r/deepquestai/deepstack ). It include functionalities such as Face Recognition/Detection APIs, common objects detection, image superresolution, custom detection models to detect any custom object of interest and many more. You can learn more about the product and using it via the documentation linked below
https://docs.deepstack.cc
DeepStack has a very active community on the official forum https://forum.deepstack.cc and other forums like HomeAssistant ( https://community.home-assistant.io/t/face-and-person-detect... ), IPCamTalk( https://ipcamtalk.com/tags/deepstack/ ) and YouTube ( https://www.youtube.com/results?search_query=deepstack+ai+se... )
From year 2019 after we released DeepStack till early, 2021 the project was largely developed and maintained by John Olafenwa (the creator of the AI server) and I; pretty hard for 2 folks with day job to keep up with everything involved in the project which is why some of our sites are not fully updated. That is about to change in 2022 as we grew to a team of 6 late last year and growing to ensure we keep developing, maintaining and improving DeepStack for the almost a million developers leveraging the server to integrate AI.
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For what do you use your Jetson Nano?
Running Deepstack on it, paired with HASS-Deepstack-object in Home Assistant.
frigate
- License Plate Recognition with Home Assistant, Codeproject.ai, and Frigate NVR
- Multimillion-dollar L.A. heist was seamless, sophisticated, stealthy
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Picking between two cameras hikvision vs dahua. Both 4MP 1/1.8" turrets.
Am in to selfhosting and homeserver, finally got to try Frigate with some aliexpress camera that was not mine. Love it.
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Old Android as Security Camera
However, I have had success using IP Camera app with Frigate. https://play.google.com/store/apps/details?id=com.pas.webcam https://frigate.video/
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Security cams
Frigate https://frigate.video/ and ZoneMinder https://zoneminder.com/ come to mind. Blue Iris https://blueirissoftware.com/ is not open source but is what I prefer to use for my PoE systems ($80/yr)
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Unable to re add my server to HAOS integration
Logger: custom_components.frigate Source: custom_components/frigate/__init__.py:201 Integration: Frigate (documentation, issues) First occurred: 1:59:34 AM (2 occurrences) Last logged: 1:59:48 AM
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Ask HN: How have you engineered the shit out of your home's front entrance?
Engineering implies working within constraints. Most people in this realm only have to deal with the spouse acceptance factor as a limiter.
Went from openhab -> homeassistant -> Node-RED. Then sprinkle in MySensors, Frigate, and Double-Take, but not on just the entrance, go for the perimeter then defense in depth.
https://www.mysensors.org/
https://frigate.video/
https://github.com/jakowenko/double-take
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Frigate: Open-source network video recorder with real-time AI object detection
- https://github.com/blakeblackshear/frigate/discussions/7932#...
I have found my frigate+ model to be much more accurate and crazy good even at night. Will be curious how things change when it snows here more often, since I've not submitted any examples of winter at this house yet.
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A PCIe Coral TPU Finally Works on Raspberry Pi 5
According to the author of that PR, they're using 10% of 1 NPU core on 3 cameras: https://github.com/blakeblackshear/frigate/pull/8382#issueco...
The bottleneck instead will probably be the video stream decoding speed, especially as the SoC's hardware decoder isn't being used yet.
What are some alternatives?
yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite
motioneye - A web frontend for the motion daemon.
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Shinobi - :peace_symbol: :palestinian_territories: Shinobi CE - The Free Open Source CCTV platform written in Node.JS (Camera Recorder - Security Surveillance Software - Restreamer
ImageAI - A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
viseron - Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.
DeepStack - The World's Leading Cross Platform AI Engine for Edge Devices
scrypted - Scrypted is a high performance home video integration and automation platform
Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
docker-wyze-bridge - WebRTC/RTSP/RTMP/LL-HLS bridge for Wyze cams in a docker container
mmdetection - OpenMMLab Detection Toolbox and Benchmark
Agent - 👮 A PHP desktop/mobile user agent parser with support for Laravel, based on Mobiledetect