multi-object-tracker
EasyOCR
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multi-object-tracker | EasyOCR | |
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4 | 32 | |
610 | 17,397 | |
- | 3.2% | |
3.9 | 8.5 | |
4 months ago | 7 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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multi-object-tracker
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Tracking mentions began in Dec 2020.
EasyOCR
- I made a website for a friend who owns a restaurant. He's wondering if there's a way to upload a picture of his menu daily. What is the best way to do this?
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[P]Modern open-source OCR capabilities and which model to choose
I've used EasyOCR for number recognition tasks. Works fairly well. https://github.com/JaidedAI/EasyOCR
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[D] Looking for a fast OCR repo
Do you have hardware acceleration available? If so, check out https://github.com/JaidedAI/EasyOCR
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[P] Training to read PDF documents. Any ideas?
If all you need to do is OCR, check out https://github.com/JaidedAI/EasyOCR , it's a similar architecture to the cloud services, without all the $. You'll end up with extracted text and bounding boxes for it.
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Tesseract.js β Pure JavaScript OCR
I've had good results with EasyOCR, much better than Tesseract. I agree with you, Tesseract has performed very poorly in my experience.
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I have created a tool to translate any kind of VN by image analysis.
Currently the tool supports 2 different OCRs. PaddleOCR and EasyOCR. In both cases, the OCR has a specific model for Japanese characters. They work quite well, as long as the characters have clear contrast. The problem is that these OCR implement Torch, which makes the program very heavy. I am looking for a way to optimize this.
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Extract text from PDF
the repo with Python package https://github.com/JaidedAI/EasyOCR
website with online demo https://www.jaided.ai/easyocr/ (you can upload your images there)
- In-Browser OCR
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[D] Sudden drop in loss after hours of no improvement - is this a thing?
Background: I have been working on a project to perform OCR on mobile screenshots in my current company. Due to many quality and deployment issues, I could not go with tesseract; then, I found EasyOCR, which seemed reasonable at initial testing; however, further investigation revealed that it does not generalize that well. See the issue I created here I created.
What are some alternatives?
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)
ByteTrack - [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
OpenCV - Open Source Computer Vision Library
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT π
awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments
tesserocr - A Python wrapper for the tesseract-ocr API
doctr - docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
Tesseract.js - Pure Javascript OCR for more than 100 Languages πππ₯
norfair - Lightweight Python library for adding real-time multi-object tracking to any detector.
deep-text-recognition-benchmark - Text recognition (optical character recognition) with deep learning methods.
tika-python - Tika-Python is a Python binding to the Apache Tikaβ’ REST services allowing Tika to be called natively in the Python community.