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alessandroferrari

Discovered public repositories for alessandroferrari in the GitHub catalog.

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alessandroferrari/R-CNN-Object-detection

Python-caffe simplified implementation of the R-CNN object detection method. I have taken as a starting point the caffe ipython-notebook available at http://nbviewer.ipython.org/github/BVLC/caffe/blob/master/examples/detection.ipynb . The tutorial requires the use of matlab code for calculating selective search bounding boxes. This make it hard to use and slow. Thus, I have implemented bounding boxes proposal with a pythonized BING that I have implemented in another repository. I have also changed the interaction with the script so that the result is a nicer demo.

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alessandroferrari/Objectness

BING Objectness proposal estimator linux/mac/windows version implementation, runs at 1000 FPS. More in http://mmcheng.net/bing/

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alessandroferrari/Data_Scientist_for_a_Day

This is a practical codelab with the aim to guide beginners into the discipline of machine learning and classification, by means of open source tools. If you do not have both great practical and theorical skills of machine learning, here you can find a tutorial that explain you how to apply those tools, and guide you through the implementation of them. The tutorial lab explains you the tools that you need to understand in order to develop a classification solution of this kind. By completion of the source code, you will have a working solution for classifying on a kaggle competition dataset. The kaggle dataset competition is the London Data Science competition.

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