RawHandler


NameRawHandler JSON
Version 0.0.2 PyPI version JSON
download
home_pageNone
SummaryA basic library to handle camera raw files for use in machine learning. Built on rawpy and cv2.
upload_time2025-10-09 18:56:18
maintainerNone
docs_urlNone
authorRyan Mueller
requires_python>=3.8
licenseMIT License Copyright (c) 2025 rymuelle Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
keywords python machine learning camera raw
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # RawHandler
A wrapper for rawpy to provide useful functionality for training networks on raw data. 



## Installation instructions

You can install this package locally using pip.

1. Clone the Repository:
First, get a copy of the project:
Bash

``` bash
git clone https://github.com/rymuelle/RawHandler.git
cd RawHandler
```

2. Install with Pip:
For Development (Editable Mode):
``` bash
pip install -e .
```

For Standard Local Installation:
``` bash
pip install .
```
## Example:

```examples/simple_demosaicing.ipynb``` 

Downloads and demosaices a raw file.

## Licensing

This project is licensed under the MIT free use license. 


## Acknowledgments

With thanks to RawNIND. 


Brummer, Benoit; De Vleeschouwer, Christophe, 2025, "Raw Natural Image Noise Dataset", https://doi.org/10.14428/DVN/DEQCIM, Open Data @ UCLouvain, V1 

            

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