coral-pi-rest-server
double-take
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coral-pi-rest-server | double-take | |
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44 | 15 | |
66 | 1,098 | |
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0.0 | 0.0 | |
6 months ago | 2 months ago | |
Jupyter Notebook | JavaScript | |
MIT License | MIT License |
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coral-pi-rest-server
- BeagleY-AI: 4 TOPS-capable $70 board from Beagleboard
- Do you recommend Orange PI for ML or LLM projects?
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Framework for machine learning?
That said, you can always look at something like https://coral.ai/products/accelerator/ to help with the performance you need.
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Mini PC for AI
Should only be ~$60 https://coral.ai/products/accelerator/
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What are some USB devices worth using in a Home Lab Environment?
The Coral USB accelerator might be of interest if you want to do some light ML with a low power budget.
- Is a PCIe x1 enough for light ML tasks
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Would I be able to run ggml models such as whisper.cpp or llama.cpp on a raspberry pi with a coral ai USB Accelerator?
However, a pi doesn't have the strength to run something like Llama.cpp, of course, so I've been considering using something like the Coral USB Accelerator (https://coral.ai/products/accelerator). As I've been learning more about it, it seems to be very geared towards TensorFlow Lite models. But whisper.cpp and Llama.cpp use ggml models.
- Looking for a Mini PC for Home Assistant and Frigate.
- AI development suite on a stick?
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Modder wires ChatGPT into Skyrim VR so NPCs can roleplay and remember past conversations
Recently found this thing, though I haven't found a use case for me.
double-take
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Double-Take not getting enough events/images from Frigate?
# Learn more at https://github.com/jakowenko/double-take/#configuration
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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).
- [Home Assistant] Reconocimiento facial de la fragata: ¿Double-Take es el camino a seguir?
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Use CompreFace for Object Detection instead of default
CompreFace can be used "in addition" via Double-Take but that is additional detection based on frigate object events.
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The privacy loophole in your doorbell
Not OP, but I _love_ talking about this stuff, so you're stuck with me. :D
I'm a big fan of this project:
https://frigate.video/
It's open source, and you can hook it up to a Coral (or some other things, I think) to get crazy-fast classifications. But CPU is fine for only a few cameras.
Once you get something like that setup, it's just a matter of finding cameras that support RTSP. You get them setup however you like (but preferably wired, with PoE), point Frigate at the RTSP stream, and that's it. Now you've got home security footage that never leaves your house. You can set up a VPN to watch the feeds from elsewhere. Frigate supports MQTT as well, so you can hook it into Home Assistant to get notifications, and even pipe person events into something like Double Take to get face detection:
https://github.com/jakowenko/double-take
- Jede gute Tat zieht ihren Lohn nach sich...
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Frigate+ privacy thoughts?
have you checked out double take?
- Praise for Shinobi video platform
- Double Take – UI/API for processing and training images for facial recognition
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[FS][US-CA] Google Coral USB Accelerator
I purchased this device off eBay the week of July 4th, and willingly paid scalper prices with the idea that I'd spend much of that week learning Frigate, double-take, and DeepStack; turns out, I had the ML-powered facial recognition, alerts and Home Assistant automations up and running in an hour.
What are some alternatives?
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM
CompreFace - Leading free and open-source face recognition system
rpi-urban-mobility-tracker - The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.
frigate - NVR with realtime local object detection for IP cameras
opentts - Open Text to Speech Server
Home Assistant - :house_with_garden: Open source home automation that puts local control and privacy first.
HASS-coral-rest-api - Coral REST API for HASS
core - .NET news, announcements, release notes, and more!
os-nvr
mqtt - Message Queuing Telemetry Transport Client 🤖
ovos-core - OpenVoiceOS Core, the FOSS Artificial Intelligence platform.
ocr-tesseract-docker - OCR using Python, Tesseract and OpenCV in a Docker container