digits: Update docstring
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digits.py
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digits.py
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#!/usr/bin/env python
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#!/usr/bin/env python
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'''
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'''
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SVM and KNearest digit recognition.
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SVM, Random forest and KNearest digit recognition.
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Modified from the OpenCV example.
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Sample loads a dataset of handwritten digits from '../data/digits.png'.
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Sample loads a dataset of handwritten digits from '../data/digits.png'.
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Then it trains a SVM and KNearest classifiers on it and evaluates
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Then it trains a Random Forest, SVM and KNearest classifiers on it and evaluates
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their accuracy.
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their accuracy.
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Following preprocessing is applied to the dataset:
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Following preprocessing is applied to the dataset:
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- Moment-based image deskew (see deskew())
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- Moment-based image deskew (see deskew())
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- Digit images are split into 4 10x10 cells and 16-bin
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- Digit images are split into 4 10x10 cells and 16-bin histogram of oriented
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histogram of oriented gradients is computed for each
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gradients is computed for each cell
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cell
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- Transform histograms to space with Hellinger metric (see [1] (RootSIFT))
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- Transform histograms to space with Hellinger metric (see [1] (RootSIFT))
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Or in the "simple setting":
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- Only moment-based image deskew (see deskew())
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[1] R. Arandjelovic, A. Zisserman
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[1] R. Arandjelovic, A. Zisserman
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"Three things everyone should know to improve object retrieval"
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"Three things everyone should know to improve object retrieval"
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http://www.robots.ox.ac.uk/~vgg/publications/2012/Arandjelovic12/arandjelovic12.pdf
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http://www.robots.ox.ac.uk/~vgg/publications/2012/Arandjelovic12/arandjelovic12.pdf
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Usage:
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Usage:
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digits.py
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digits.py
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'''
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'''
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# built-in modules
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# built-in modules
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