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Python library RetinaFace for face detection and working with key points (eyes, nose, mouth)

Supports face alignment, easily installed via pip install retina-face, and works based on deep models from the insightface project.

An excellent tool for tasks in computer vision and face recognition.

Usage examples:

from retinaface import RetinaFace

resp = RetinaFace.detect_faces("img1.jpg")
print(resp)

{
"face_1": {
"score": 0.9993440508842468,
"facial_area": [155, 81, 434, 443],
"landmarks": {
"right_eye": [257.82974, 209.64787],
"left_eye": [374.93427, 251.78687],
"nose": [303.4773, 299.91144],
"mouth_right": [228.37329, 338.73193],
"mouth_left": [320.21982, 374.58798]
}
}
}


πŸ‘‰ @DataScienceN
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πŸ”₯ Trending Repository: stremio-web

πŸ“ Description: Stremio - Freedom to Stream

πŸ”— Repository URL: https://github.com/Stremio/stremio-web

πŸ“– Readme: https://github.com/Stremio/stremio-web#readme

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πŸ’» Programming Languages: JavaScript - Less - TypeScript

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🌐 Website: https://jsoncrack.com/

πŸ“– Readme: https://github.com/AykutSarac/jsoncrack.com#readme

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πŸ’» Programming Languages: TypeScript - JavaScript - Dockerfile

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πŸ”— Repository URL: https://github.com/simular-ai/Agent-S

🌐 Website: https://www.simular.ai

πŸ“– Readme: https://github.com/simular-ai/Agent-S#readme

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πŸ“Œ Visual Pollen Classification Using CNNs and Vision Transformers

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-10-01 | ⏱️ Read time: 19 min read

Filling the data gap: A machine learning approach to pollen identification in ecology and biotechnology
πŸ“Œ Extracting Structured Vehicle Data from Images

πŸ—‚ Category:

πŸ•’ Date: 2025-01-27 | ⏱️ Read time: 10 min read

Build an Automated Vehicle Documentation System that Extracts Structured Information from Images, using OpenAI API,…
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