Image-Forgery-Detection-CNN
EasyOCR
Image-Forgery-Detection-CNN | EasyOCR | |
---|---|---|
2 | 38 | |
137 | 22,049 | |
- | 2.0% | |
0.0 | 3.6 | |
10 months ago | about 1 month ago | |
Python | Python | |
- | Apache License 2.0 |
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Image-Forgery-Detection-CNN
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Question to the Mods: What is the exact criteria for removing new sighting submissions?
So far the bot archives only on the Telegram chann image/video posts that are posted to this subreddit exclusively hosted by the reddit uploaded media servers. It only tries to classify still images, using a small pre-trained dataset ueint from this GitHub repo: https://github.com/kPsarakis/Image-Forgery-Detection-CNN
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Update on the UAP.observer project that aims to instantly archive & classify forgery vs authentic footage.
Today I continued working on the script from yesterday utilizing the help of this GitHub repository (shout out to these guys!): https://github.com/kPsarakis/Image-Forgery-Detection-CNN I managed to get some results already.
EasyOCR
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Leveraging GPT-4 for PDF Data Extraction: A Comprehensive Guide
PyTesseract Module [ Github ] EasyOCR Module [ Github ] PaddlePaddle OCR [ Github ]
- OCR a lot of hand written invoice and records?
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[P] EasyOCR in C++!
I just uploaded my C++ implementation of EasyOCR, a well known ocr library for python. Also dusted some cobwebbs from some audio related projects as well, feel free to leave feedback or contribute! I only implemented the most salient parts, so certainly could use some community help! Cheers!
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OCR at Edge on Cloudflare Constellation
EasyOCR is a popular project if you are in an environment where you can use run Python and PyTorch (https://github.com/JaidedAI/EasyOCR). Other open source projects of note are PaddleOCR (https://github.com/PaddlePaddle/PaddleOCR) and docTR (https://github.com/mindee/doctr).
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Donut: OCR-Free Document Understanding Transformer
The main one was https://github.com/JaidedAI/EasyOCR, mostly because, as promised, it was pretty easy to use, and uses pytorch (which I preferred in case I wanted to tweak it). It has been updated since, but at the time it was using CRNN, which is a solid model, especially for the time - it wasn't (academic) SOTA but not far behind that. I'm sure I could've coaxed better performance than I got out of it with some retraining and hyperparameter tuning.
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Help with OCR of pixel-y numbers
Anyways, you can give a shot to EasyOCR, pretty solid and flexible
- How to perform document OCR?
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Python unexpectedly quits (macOS ventura, M1)
The easyocr library: https://github.com/JaidedAI/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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Raspberry Pi Easyocr
Not used it on a Pi but maybe a Docker version (if there is one) would run? Compose file here
What are some alternatives?
awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments
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)
DOLG-pytorch - Unofficial PyTorch Implementation of "DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features"
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
SincNet - SincNet is a neural architecture for efficiently processing raw audio samples.
doctr - docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
Video_Forgery_Detection_Using_Machine_Learning
OpenCV - Open Source Computer Vision Library
classification - Classification of the MNIST dataset using various Deep Learning techniques
tesserocr - A Python wrapper for the tesseract-ocr API
LaTeX-OCR - pix2tex: Using a ViT to convert images of equations into LaTeX code.