http://rogerdudler.github.io/git-guide/

This project implements Sarpy, a shape analysis and classification library based on the Shape Analysis Course at IME-USP, Brazil. Also the library is based on the book: Shape Analysis and Classification: Theory and Practice. It uses in backend: NumPy, Pandas and Scikit Image.

Categories

1. Shape Acquisition
2. Shape Transformation
3. Shape Representation
4. Shape Characterization
5. Shape Classification
6. Examples

Below is possible to see some examples using Sarpy:

NIST Dataset Visualization
MPEG-7 Dataset Visualization
LEAF Dataset Visualization & Bitmap manipulation
Parametrics Countour
Contour Function
Syntetic Dataset & Correlation ex. 1
Syntetic Dataset & Correlation ex. 2

Classification Projetcs Examples

Example Group 1
Example Group 2
Example Group 3