This is a pre-production deployment of Warehouse. Changes made here affect the production instance of PyPI (pypi.python.org).
Help us improve Python packaging - Donate today!

Implements specular removal in images captured from various view points

Project Description
# Specularity removal in multi-viewpoint images

The package is an open source utility to remove specularity in Images that has been captured from multiple viewpoints.

#### Disclaimer
The method uses Homography to find the best pixels available in other viewpoint images. It will not work if the object is not planar.

## Requirements:
- Numpy
- OpenCV

Works with both Python 2.7+ and Python 3+

## Usage
```python
fnames = [
'data/pshycology-book-1.jpg',
'data/pshycology-book-2.jpg',
'data/pshycology-book-3.jpg'
]
remove_specularity(fnames)
```

## Example 1
#### Using two input images
<img src="data/calculus-book-1.jpg" alt="Calculus Book 1" width="200" />
<img src="data/calculus-book-2.jpg" alt="Calculus Book 2" width="200" />
### Output
<img src="results/calculus-book-1.jpg" alt="Calculus Book 1" width="200" />
<img src="results/calculus-book-2.jpg" alt="Calculus Book 2" width="200" />

## Example 2
#### Using three input images
<img src="data/pshycology-book-1.jpg" alt="Calculus Book 1" width="200" />
<img src="data/pshycology-book-2.jpg" alt="Calculus Book 2" width="200" />
<img src="data/pshycology-book-3.jpg" alt="Calculus Book 2" width="200" />
### Output
<img src="results/pshycology-book-1.jpg" alt="Calculus Book 2" width="200" />
<img src="results/pshycology-book-2.jpg" alt="Calculus Book 2" width="200" />
<img src="results/pshycology-book-3.jpg" alt="Calculus Book 2" width="200" />
Release History

Release History

This version
History Node

0.1.1

History Node

0.1

Download Files

Download Files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
specularity_removal-0.1.1.tar.gz (3.7 kB) Copy SHA256 Checksum SHA256 Source May 10, 2016

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting