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Implementation of a content based image classifier using the bag of visual words approach in Python together with Lowe's SIFT and Libsvm.
Simple working example script for content based image classification using the bag of visual words approach
This script implements a function that calculates the raw, centered and normalized moments similar to OpenCV for any image passed as a numpy array.
Implementation of the kmeans algorithm using pycuda
Python script to control led display boards or 'led ticker' via serial or usb connection.
This simple tool helps researchers and students to visualize who is collaborating with whom in their field of research.
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