double-take
tesseract-ocr
double-take | tesseract-ocr | |
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15 | 121 | |
1,102 | 58,182 | |
- | 1.4% | |
0.0 | 8.9 | |
3 months ago | 8 days ago | |
JavaScript | C++ | |
MIT License | Apache License 2.0 |
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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.
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.
tesseract-ocr
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Highlighting Image Text
We are going to be using an OCR (Optical Character Recognition) engine called Tesseract for the image-to-text recognition part. It is free software, released under the Apache License. Install the engine for your desired OS from their official website. I'm using Windows for this. Add the installation path to your environment variables.
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one of the Codia AI Design technologies: OCR Technology
You will also need to install the Tesseract OCR engine, which can be downloaded and installed from the following link: https://github.com/tesseract-ocr/tesseract
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Leveraging GPT-4 for PDF Data Extraction: A Comprehensive Guide
PyTesseract Module [ Github ] EasyOCR Module [ Github ] PaddlePaddle OCR [ Github ]
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OCR text to speech for disability
It uses teseract for the OCR https://github.com/tesseract-ocr/tesseract
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Marker: Convert PDF to Markdown quickly with high accuracy
Last update was pretty recent, and the git mentions tesseract 5 as a dep. so it's likely moved on a bit from when you last tried it:
https://github.com/tesseract-ocr/tesseract/releases
I suppose it depends on your use-case. For personal tasks like this it should be more than sufficient, and won't need user details/cc or whatever to use it.
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How to Read Text From an Image with Python
Tesseract is an open-source OCR engine developed by Google. It is highly accurate and supports multiple languages. This library will do all the heavy lifting for us. We'll use it in this tutorial to quickly read the text in some images.
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OpenAI is too cheap to beat
> Does android even have native OCR?
Tesseract? https://github.com/tesseract-ocr/tesseract
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So You Decided to Extract Recipe Text From Scans of Your Grandpa's Old Cookbook Using Pytesseract (+ My Grandma's Fig Cake Recipe) (+ Hidden Recipes To Be Found)
Install Google Tesseract OCR (additional info how to install the engine on Linux, Mac OSX and Windows). You must be able to invoke the tesseract command as tesseract. If this isn’t the case, for example because tesseract isn’t in your PATH, you will have to change the “tesseract_cmd” variable pytesseract.pytesseract.tesseract_cmd. Under Debian/Ubuntu you can use the package tesseract-ocr. For Mac OS users. please install homebrew package tesseract.
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I used Node.js to OCR "Meme Monday" threads
OCR detection will be done with Tesseract.
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How to ingest image based PDFs into private GPT model?
I’ve used Tesseract for this. It seems to work well with tabular data. https://github.com/tesseract-ocr/tesseract
What are some alternatives?
CompreFace - Leading free and open-source face recognition system
PaddleOCR - Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
frigate - NVR with realtime local object detection for IP cameras
pytesseract - A Python wrapper for Google Tesseract
Home Assistant - :house_with_garden: Open source home automation that puts local control and privacy first.
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
core - .NET news, announcements, release notes, and more!
OpenCV - Open Source Computer Vision Library
mqtt - Message Queuing Telemetry Transport Client 🤖
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
ocr-tesseract-docker - OCR using Python, Tesseract and OpenCV in a Docker container
Face Recognition - The world's simplest facial recognition api for Python and the command line