Experimental image mining using OpenCV
Attempting to build tools to mine interesting data from large collections of scanned images
Current
bin/locate-thumbnail: find the location of a thumbnail in the source image
bin/extract-figures: locate interesting non-text elements (images, figures, tables, etc.) on scanned book pages
Prerequisites
Python 2.6+
OpenCV 2.4+
numpy
Using Mac Homebrew this should install cleanly:
brew install python numpy opencv
On Ubuntu 12.04 Precise the following is known to work - note the need for a PPA to get OpenCV 2.4+:
sudo add-apt-repository ppa:alexei.colin/opencv sudo apt-get update sudo apt-get install python-numpy python-opencv
1 maintainer
Metadata
1 maintainer
Release files for image-mining 0.1.6
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| image-mining-0.1.6.tar.gz | 11.7 kB | Details |
Release files / image-mining-0.1.6.tar.gz
| Download URL | image-mining-0.1.6.tar.gz |
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| Size | 11.7 kB |
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