DeepFaceLive
PaddleOCR
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DeepFaceLive | PaddleOCR | |
---|---|---|
55 | 60 | |
13,912 | 38,373 | |
- | 4.5% | |
8.4 | 8.6 | |
11 months ago | 3 days ago | |
Python | Python | |
GNU General Public License v3.0 only | Apache License 2.0 |
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.
DeepFaceLive
- Virginia's Age Verification On Adult Websites Is Worse Than You Think
- How is the twitch trump biden debate stream made?
- DeepFaceLive: Real-time face swap for PC streaming or video calls
- Is it possible to sync a lip and facial expression animation with audio in real time?
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Val Kilmer Twitter Romance Scam
https://github.com/iperov/DeepFaceLive. This is the first result Google gives me. Rudimentary, but enough to possibly trick someone who isn't knowledgeable enough. Instead of a fully AI generated person, it is a digital face swap. Essentially, you are correct in that the technological leap towards making a fully interactive deep fake is likely far beyond current technological capabilities. Especially for a scammer. Digitally swapping a face sidesteps that technological limitation.
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Is there a way to do facial rigs on AI images?
A more lifelike deformer would be running a 'deepfake' layer over your face motion into your 2D character face, but so far I haven't tried it yet. Here is some example of a well known open source 'faceswapper' : https://github.com/iperov/DeepFaceLive
- DeepFaceLive issue #41: Stop Developing This Technology
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How to make a deep fake character for my youtube series
DeepFaceLive https://github.com/iperov/DeepFaceLive You have to create a celeb model first or download a publicly available model
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Correlation between advance of an AI and so-called safeguards?
"Advanced AI" is an expression that makes politicians and decision makers to go on a rampage. Don't get your hopes up, the way the world reacted to ChatGPT, Stable Diffusion and stuff like that already suggests all AIs will be pretty much government regulated eventually and people like Eugenia has no way to circumvent this. Add projects like https://github.com/iperov/DeepFaceLive into the mix and you can see the perfect storm brewing up already...
- Animate your stable diffusion portraits
PaddleOCR
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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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What is the best repo for hand written text recognition?
My default recommendation for OCR is https://github.com/PaddlePaddle/PaddleOCR but most of the examples there are not handwritten - so I'm not sure how well it'll handle it this time.
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Ask HN: Best way to perform complex OCR task in 2023?
Other than EasyOCR and Tesseract, PaddleOCR (https://github.com/PaddlePaddle/PaddleOCR) is probably the most well known open-source OCR solution.
What are you planning to do with the text after detecting / recognizing it? How fast does the detection / recognition need to be in order to be useful?
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Show HN: BetterOCR combines and corrects multiple OCR engines with an LLM
Yup! But I'm still exploring options. (any recommendations would be welcomed!) Here are some candidates I'm considering:
- https://github.com/mindee/doctr
- https://github.com/open-mmlab/mmocr
- https://github.com/PaddlePaddle/PaddleOCR (honestly I don't know Mandarin so I'm a bit stuck)
- https://github.com/clovaai/donut - While it's primarily an "OCR-free document understanding transformer," I think it's worth experimenting with. Think I can sort this out by letting the LLM reason through it multiple times (although this will impact performance)
- yesterday got a suggestion to consider https://github.com/kakaobrain/pororo - I don't think development is still active but the results are pretty great on Korean text
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How would you go about driving contextual data from images?
For images with text, if you want to do visual qa, document classification, table/key information extraction, checkout https://huggingface.co/blog/document-ai https://github.com/philschmid/document-ai-transformers https://github.com/google-research/pix2struct https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6/ppstructure/README.md
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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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Seeking Advice for Improving OCR Accuracy in a Code Snippet Reader Project
I think you can train tesseract with custom data if you have enough, or you can use deep learning models like https://pyimagesearch.com/2020/08/17/ocr-with-keras-tensorflow-and-deep-learning or https://www.google.com/amp/s/nanonets.com/blog/attention-ocr-for-text-recogntion/amp/ or try other existing tools like paddle-ocr https://github.com/PaddlePaddle/PaddleOCR
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How do you parse tables in PDF with langchain? Especially, the context which is few lines above and below the table.
https://huggingface.co/blog/document-ai https://github.com/microsoft/table-transformer https://github.com/google-research/pix2struct https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6/ppstructure/table/README.md
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unable to install paddleocr on m1 mac
when following the installation commands present in the paddleocr repo(https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6/doc/doc_en/quickstart_en.md) im still unable to install paddleocr. paddlepaddle is successfully installed on my m1 mac with python3.9.16 but while installing paddleocr im getting this error after long pip backtracking
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Donut: OCR-Free Document Understanding Transformer
When I was evaluating options a few months ago I found https://github.com/PaddlePaddle/PaddleOCR to be a very strong contender for my use case (reading product labels), but you'll definitely want to put together some representative docs/images and test a bunch of solutions to see what works for you.
What are some alternatives?
DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Wav2Lip - This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020. For HD commercial model, please try out Sync Labs
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
libreddit - Private front-end for Reddit
mmocr - OpenMMLab Text Detection, Recognition and Understanding Toolbox
ColossalAI - Making large AI models cheaper, faster and more accessible
Tesseract.js - Pure Javascript OCR for more than 100 Languages 📖🎉🖥
web2img - Bundle web files into a single image
OCRmyPDF - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
Lemmy - 🐀 A link aggregator and forum for the fediverse
keras-ocr - A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.