How vashikkaushik-hub/maze-path-finder works
Maze Path Finder is a single-file Python program that accepts a maze image, processes it, locates colored start and end markers, searches for a route, and displays the result. Its main() function coordinates the runtime workflow. Image loading, processing, contour detection, and drawing use OpenCV; path search uses breadth-first search. The boundary overlay is computed but its returned image is not used by main(). The supplied source supports the workflow shown; future improvements in the README are not implemented components.
Main entry points: Maze Path Finder.py Workflow coordinator
Components 13
Program workflow
- Workflow coordinator
Maze Path Finder.py - Image input
Maze Path Finder.py
Image analysis
- Grayscale conversion
Maze Path Finder.py - Binary threshold
Maze Path Finder.py - Pixel counting
Maze Path Finder.py - Boundary detection
Maze Path Finder.py - Marker detection
Maze Path Finder.py
Path and display
- Breadth-first search
Maze Path Finder.py - Path rendering
Maze Path Finder.py - Display resizing
Maze Path Finder.py
Other components
- Maze image user
- OpenCV
- Result viewer
Connections 18
- Maze image user → Image input: provides path
- Workflow coordinator → Image input: calls
- Image input → OpenCV: loads image
- Workflow coordinator → Grayscale conversion: calls
- Grayscale conversion → OpenCV: converts color
- Workflow coordinator → Binary threshold: calls
- Binary threshold → OpenCV: thresholds image
- Workflow coordinator → Pixel counting: calls
- Workflow coordinator → Boundary detection: calls
- Boundary detection → OpenCV: finds contours
- Workflow coordinator → Marker detection: calls
- Marker detection → OpenCV: detects colors
- Workflow coordinator → Breadth-first search: calls
- Workflow coordinator → Path rendering: calls
- Path rendering → Display resizing: calls
- Path rendering → OpenCV: draws path
- Workflow coordinator → OpenCV: displays result
- OpenCV → Result viewer: shows windows