image-processing

Implementation of some OpenCV-functions for testing purposes.

Usage

python src/main.py

Dependencies

• OpenCV

Command line arguments

flag	name	description	default
-h	--help	show this help message and exit	None
-i	--selected-idx	the index of the algorithm selected when starting the program	0
-d	--device-id	the id of the camera that shall be used (if you want to use a video, see the '-f' argument)	1
-f	--filename-video	path to the video that shall be processed (if not set, the camera stream will be used)	None
	--hide-original-stream	hide the original camera / video stream and only show the processed stream	False
	--print-markdown-table	if set, a markdown table with the available algorithms is printed for easy copy paste into the README	False

Key bindings

key	usage
UP or j	select the previous algorithm
DOWN or k	select the next algorithm
r	restart the currently selected algorithm
q or ESC	quit the program

Available algorithms

ID	algorithm
0	original
1	grayscale
2	binarization (global threshold)
3	binarization (adaptive mean threshold)
4	binarization (adaptive gauss threshold)
5	edge detection (sobel x-direction)
6	edge detection (sobel y-direction)
7	edge detection (sobel xy-direction)
8	edge detection (canny)
9	optical flow

Adding new algorithms.

Use the template in src/algorithms/original.py.