Name	Name	Last commit message	Last commit date
parent directory ..
Data	Data
.gitignore	.gitignore
README.md	README.md
analyze.py	analyze.py
bouncing_ball.avi	bouncing_ball.avi
bouncing_ball_full.avi	bouncing_ball_full.avi
capture.py	capture.py
denoise.py	denoise.py
follow_ball.py	follow_ball.py
restoration.ipynb	restoration.ipynb
segmentation.py	segmentation.py
split_scenes.py	split_scenes.py

Name

Last commit message

Last commit date

ImageProcessing

Some sample code for image processing using Scikit-Image and video processing with OpenCV.

What is it?

denoise.py: sharpen an image using deconvolution.
segmentation.py: segmentation using an active cotour model, aka, snake.
restoration.ipynb: Jupyter notebook illustrating analysis of a problematic camera image and custum restoration.
Data: directory containing image files for illustration purposes.
caputure.py: capture video from a webcam using OpenCV.
analyze.py: show a plot of the average RGB values for the frames in a movie using OpenCV.
split_scenes.py: very naive utility to split a movie into scences, based on rapid changes in RGB intenisty.
bouncing_ball_full.avi: movie to test scene_spliiter.py with.
follow_ball.py: example of using the camshift algorithm to follow a bouncing ball in a scene.
bouncing_ball.avi: movie to test follow_ball.py with.