Pandora2D

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Pandora2d is a tool based on Pandora to provide disparity maps for images pairs with a combination of vertical and horizontal stereo

Pandora2D 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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<h4 align="center">Pandora2d  is a tool based on <a href="https://github.com/CNES/Pandora">Pandora</a> to provide disparity maps
for image pairs with a combination of vertical and horizontal stereo.</h4>

<p align="center">
  <a href="#example-of-use">Example of use</a> •
  <a href="#install">Install</a> •
  <a href="#first-step">First Step</a> •
  <a href="#to-go-further">To go further</a> •
  <a href="#credits">Credits</a> •
  <a href="#related">Related</a> 
</p>

## Example of use

* Not-aligned Sentinel2 images from Ouarzazate's Solar Central.

Before Pandora2D   |  After Pandora2D
:-----------------:|:----------------:
![](https://raw.githubusercontent.com/CNES/Pandora2D/master/docs/source/Images/avant_recalage.gif?inline=false)  |  ![](https://raw.githubusercontent.com/CNES/Pandora2D/master/docs/source/Images/apres_recalage.gif?inline=false)

## Install

Pandora2D is available on Pypi and can be installed by:

```bash
    # Upgrade your pip by running:
    pip install --upgrade pip
    # Install pandora2d latest release
    pip install pandora2d
````

## Quick start

Pandora2d requires a `config.json` to declare the pipeline and the pair of images to process.
Download our data sample to start right away !

- [maricopa's pair with combination of vertical and horizontal stereo](https://raw.githubusercontent.com/CNES/Pandora2D/master/data_samples/images/maricopa.zip)
- [a configuration file](https://raw.githubusercontent.com/CNES/Pandora2D/master/data_samples/json_conf_files/a_basic_pipeline.json)

```bash
    # Image pairs with a combination of vertical and horizontal stereo
    wget -P data_samples/images https://raw.githubusercontent.com/CNES/Pandora2D/master/data_samples/images/maricopa.zip
    # Config file
    wget -P data_samples/json_conf_files https://raw.githubusercontent.com/CNES/Pandora2D/master/data_samples/json_conf_files/a_basic_pipeline.json
    # Uncompress data
    unzip data_samples/images/maricopa.zip -d data_samples/images
    # run Pandora2d
    pandora2d data_samples/json_conf_files/a_basic_pipeline.json

# The columns disparity map is saved in  "./data_samples/json_conf_files/a_basic_pipeline_output/disparity_map/col_map.tif".
    # The row disparity map is saved in  "./data_samples/json_conf_files/a_basic_pipeline_output/disparity_map/row_map.tif".
```

## To go further

To create your own coregistration pipeline and choose among the variety of
algorithms we provide, please consult [our online documentation](https://pandora2d.readthedocs.io).

You will learn:

* which steps you can use and combine
* how to quickly set up a Pandora2D pipeline

## Credits

Our data test sample contains modified 'Copernicus Sentinel data [2021]', provided by the Peps Sentinel2 website (CNES).

## Related

* [Pandora](<https://github.com/cnes/pandora>) - stereo matching framework

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