CompreFace
frigate
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CompreFace | frigate | |
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28 | 289 | |
3,810 | 14,225 | |
6.0% | - | |
8.3 | 9.8 | |
5 days ago | about 10 hours ago | |
Java | Python | |
Apache License 2.0 | MIT License |
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.
CompreFace
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Double-Take not getting enough events/images from Frigate?
# https://github.com/exadel-inc/CompreFace/blob/master/docs/Face-services-and-plugins.md)
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DeepStack (dead?) vs CompreFace (slow?)
I looked at Double Take (UI that lets you do the training of your face recondition easily) and found CompreFace as one of models they support. It looks like what I need but there is a catch... no OpenVino (intel CPUs AI accelerator) support. I really like my low power NVR setup and would like keep it that way. Running AI on CPU without acceleration is both power inefficient and much slower. I have a spare low end GPU but if dump it in the system the current AI acceleration brakes... (I know I can prob fix it but that is a rabbit hole I would prefer to avoid).
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self Hosted face recognition software
This has good UI and also good recognition: https://github.com/exadel-inc/CompreFace
- Do we have good, gpu accelerated, text-to-speech, speech-to-text, image/video-to-text face/object recognition that is open source and self-hosted ?
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need help installing a software in Ubuntus terminal
Not sure what exactly you think this software is going to help with but the install instructions are available here.
wget -q -O tmp.zip 'https://github.com/exadel-inc/CompreFace/releases/download/v1.1.0/CompreFace_1.1.0.zip' && unzip tmp.zip && rm tmp.zip
- Face comparison in Stable Diffusion
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hey guys which is the best tool for making facial recognition using single image in deep learning
If you are looking for open source stuff and are able to self-host it, maybe have a look at CompreFace.
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[P] Facial Recognition with AWS Rekognition or Azure Vision
For face recognition - CompreFace. Disclaimer - I created it, as an alternative you can use MachineBox, but it's not open source and has limits. Also, I think, you will use some software to control the system, e.g. Frigate or Home Assistant, I think this repository can be useful for you.
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Database for Face Recognition
If you have a really simple application, you can just save the encodings into the files. If not - it's better to use a database. SQL is ok. But for the best results, I would suggest using milvus.io, as it was created for saving vectors and finding the distances (I haven't tried it, though). If your final goal is not to learn face recognition basics, you can just use free ready to use solutions like CompreFace and Machinebox
frigate
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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.
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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.
Consider checking if you can compute everything on a single Orange Pi 5 first. It seems that preliminary support has been merged!
I believe you can trigger recording with mqtt, so you could make an automation for it. You could try to bump this https://github.com/blakeblackshear/frigate/issues/2590#issue.... You could even try to use ai to write the feature.
There's only been one incident where I would have liked continuous, I've tweaked events to be more than enough.
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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.
One of the most popular uses I've seen for Coral, Frigate for object detection for security cameras, recently added support for the RK3588 NPUs too: https://github.com/blakeblackshear/frigate/pull/8382 . I think it requiring a RK3588 makes it a bit annoying to have to upgrade your entire setup just for this though.
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Proper way to stream JSMPEG files in React Native
The project I'm working on is a fully open sourced app for the Frigate NVR application. The repo for the project can be found here, and that's the branch where I'm trying to figure this out.
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My new Ring security setup without using ring (Home assistant + Alarmo)
My next goal is to ditch all my Google cameras with Amcrest ones using (Frigate NVR) and a coral.ai chip. This will get rid of the monthly subscription fees and leave me with products that will last until they fail.
What are some alternatives?
motioneye - A web frontend for the motion daemon.
Shinobi - :peace_symbol: :palestinian_territories: Shinobi CE - The Free Open Source CCTV platform written in Node.JS (Camera Recorder - Security Surveillance Software - Restreamer
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.
scrypted - Scrypted is a high performance home video integration and automation platform
HASS-Deepstack-object - Home Assistant custom component for using Deepstack object detection
docker-wyze-bridge - WebRTC/RTSP/RTMP/LL-HLS bridge for Wyze cams in a docker container
Agent - 👮 A PHP desktop/mobile user agent parser with support for Laravel, based on Mobiledetect
double-take - Unified UI and API for processing and training images for facial recognition.
DeepCamera - Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more
Zoneminder - ZoneMinder is a free, open source Closed-circuit television software application developed for Linux which supports IP, USB and Analog cameras.
SynoAI - A Synology Surveillance Station notification system utilising DeepStack AI
iSpy - Open source surveillance software