| Name | funcnodes-images JSON |
| Version |
0.2.1
JSON |
| download |
| home_page | None |
| Summary | Basic functionalities to work with images in Funcnodes |
| upload_time | 2024-09-26 13:07:12 |
| maintainer | None |
| docs_url | None |
| author | Julian Kimmig |
| requires_python | >=3.11 |
| license | MIT |
| keywords |
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| VCS |
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| bugtrack_url |
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| requirements |
No requirements were recorded.
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| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
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# FuncNodes Images
## Overview
`funcnodes-images` is an extension of the [FuncNodes](https://github.com/linkdlab/funcnodes) framework that provides nodes for image manipulation and processing. It supports operations like resizing, cropping, and scaling images, and it integrates seamlessly with FuncNodes computational graphs. This package supports image formats such as `PillowImageFormat` and `NumpyImageFormat`, enabling flexibility in handling images via PIL and NumPy.
## Installation
Install the package using:
```bash
pip install funcnodes-images
```
## Getting Started
To begin using `funcnodes-images`, you will need to have the core `FuncNodes` framework installed and set up. Please refer to the [FuncNodes](https://github.com/linkdlab/funcnodes) documentation for details.
### Example Usage
You can integrate the image nodes into your FuncNodes workflows by connecting inputs and outputs between nodes to perform tasks such as resizing, cropping, or converting images between formats.
## Custom Image Formats
This package provides `PillowImageFormat` and `NumpyImageFormat` to handle images using the Pillow and NumPy libraries respectively. You can register your custom image formats by utilizing the `register_imageformat` function.
```python
from funcnodes_images import register_imageformat, ImageFormat
# Custom image format example
class CustomImageFormat(ImageFormat):
# Define custom format logic here
register_imageformat(CustomImageFormat, 'custom')
```
## Contribution
You are welcome to contribute to this project by submitting pull requests, adding new nodes, fixing bugs, or enhancing the documentation.
## License
This project is licensed under the MIT License.
## Contact
For any questions or issues, please open an issue on the GitHub repository.
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