How shaiknawazshareef/license-plate-detection-using-opencv-and-cnn works
This is a small Colab-based license-plate detection script. The workflow accepts an uploaded image, reads it with OpenCV, detects a likely rectangular plate by filtering, edge detection and contour checks, then displays the annotated image and any extracted crop. The README also describes character segmentation and CNN classification, but the sole source file does not implement them; they are omitted from the runtime graph. The graph reflects the shown script and documented upload workflow.
Main entry points: license_plate_detection.py Image workflow
Components 5
Other components
- Image uploader
- Image workflow
license_plate_detection.py - Colab upload
- Plate detection
license_plate_detection.py - Image display
license_plate_detection.py
Connections 6
- Image uploader → Image workflow: uploads image
README.md - Image workflow → Colab upload: requests upload
license_plate_detection.py - Colab upload → Image workflow: returns file
license_plate_detection.py - Image workflow → Plate detection: detects plate
license_plate_detection.py - Plate detection → Image workflow: returns crop
license_plate_detection.py - Image workflow → Image display: displays images
license_plate_detection.py