Translation for English Documentations are Working In Progress

Functions

1. Face Detection and Recognition（From Image or Video）
2. Facial Landmark
3. Image compositing（e.g. Wear Hat For a Figure)
4. Face Makeup（e.g. Lipstick, Eyebrow, Eyes, etc）
5. Gender Recognition
6. Emotion Recognition（e.g. Angry, Disgust, Fear, Happy, Sad, Surprise, Neutral）
7. Video Object Extraction
8. Image Denoising（e.g. Watermark Removal）
9. Image Colorization
10. Eye Tracking（W.I.P）
11. Face Replacement（W.I.P）

Development Environment

• Windows 10（x64）
• Python 3.6.4
• OpenCV 3.4.1
• Dlib 19.8.1
• face_recognition 1.2.2
• keras 2.1.6
• tensorflow 1.8.0
• Tesseract OCR 4.0.0-beta.1

Tutorials

OpenCV Setup

Tesseract OCR Text Recognition

Face Detection From Image（OpenCV based）

Face Detection From Image（Dlib based）

Face Detection From Video（OpenCV based）

Face Detection From Video（Dlib based）

Face Outline Recognition

Face Makeup

Face Recognition From Video

Image Compositing

Gender Recognition

Emotion Recognition

Video Object Extraction

Image Denoising

Other Related Tutorials

Ubuntu Software And pip Sources Update

pip/pip3 Update To Repository Inside China Mainland——Windows

Chinese Font Support In OpenCV

Mouse Drawing——Based on OpenCV

Preview

Face Outline Recognition

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68-point Facial Landmark Detection

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Image Compositing

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Gender Recognition

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Emotion Recognition

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Face Makeup

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Face Detection From Video

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Face Recognition From Video

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Face Recognition From Video

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Image Denoising

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Image Colorization

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Background

Requirements

Face Recognition ：OpenCV / Dlib / face_recognition

Gender Recognition：keras + tensorflow

Text Recognition：Tesseract OCR

TODO

Face Replacement——W.I.P

Eye Tracking——W.I.P

Dlib Performance Optimization

Dlib Model Training

Tesseract Model Training

Contributor

archersmind

rishab-sharma