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Project Description
# SDHash [![Build Status](https://travis-ci.org/horia141/sdhash.svg?branch=master)](https://travis-ci.org/horia141/sdhash)

A Python library for computing hashes of images which ignore perceptual differences.

## Usage

```python
import sdhash
from PIL import Image

i1 = Image.open('test1.png')
i2 = Image.open('test1_noise.png')
i3 = Image.open('test2.png')

sdhash.test_duplicate(i1, i2) # True
sdhash.test_duplicate(i1, i3) # False
sdhash.hash_image(i1) # [ an md5 output ]
```

## Background

Suppose you want to test that two images are identical. The naive approach of simply comparing the byte-array representation of the two is not good.

## Algorithm

## Installation ##

The Python image library and NumPy/SciPy etc.

Installation is simple, via `pip`:

```bash
pip install sdhash
```

## TODO

Resistance to rotation, mirroring etc.
Tunable knobs (for similarity detection etc.)
Release History

Release History

0.0.4

This version

History Node

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0.0.3

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0.0.2

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0.0.1

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TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
sdhash-0.0.4-py2-none-any.whl (5.5 kB) Copy SHA256 Checksum SHA256 py2 Wheel Sep 19, 2015
sdhash-0.0.4.tar.gz (4.0 kB) Copy SHA256 Checksum SHA256 Source Sep 19, 2015

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