How sifat192/opencv-face-character-detection works
This is a small, notebook-based OpenCV learning project. The documented workflow is to open the notebook and run image or video detection, with bounding-box visualization. The README lists face, character, and combined detection, but no notebook source was provided, so the internal implementation sequence cannot be verified; the capability links below reflect README statements only.
Main entry points: OpenCV_Face_and_Character_Detection.ipynb Detection notebook
Components 7
Other components
- Notebook user
- Detection notebook
OpenCV_Face_and_Character_Detection.ipynb - Face detection
OpenCV_Face_and_Character_Detection.ipynb - Character detection
OpenCV_Face_and_Character_Detection.ipynb - Combined detection
OpenCV_Face_and_Character_Detection.ipynb - Video detection
OpenCV_Face_and_Character_Detection.ipynb - Bounding boxes
OpenCV_Face_and_Character_Detection.ipynb
Connections 6
- Notebook user → Detection notebook: opens
README.md - Detection notebook → Face detection: provides
README.md - Detection notebook → Character detection: provides
README.md - Detection notebook → Combined detection: provides
README.md - Detection notebook → Video detection: provides
README.md - Detection notebook → Bounding boxes: visualizes detections
README.md