FuncNodes Images
Overview
funcnodes-images is an extension of the 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:
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 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.
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.
Metadata
Release files for funcnodes-images 0.2.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| funcnodes_images-0.2.6.tar.gz | 24.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| funcnodes_images-0.2.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 45.4 kB
Release files / funcnodes_images-0.2.6.tar.gz
| Download URL | funcnodes_images-0.2.6.tar.gz |
|---|---|
| Size | 24.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
8e5be6a4acb936d787367c8405e7375f2580f77641ba18d62dc172355f67b789
|
|
BLAKE2b-256 checksum How to use checksums |
d90409bfbc60d4fe960bc1d88bf62b7afc8054a14dfdfb670ba60b94f695d808
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Mar 27, 2025.
Transparency logRelease files / funcnodes_images-0.2.6-py3-none-any.whl
| Download URL | funcnodes_images-0.2.6-py3-none-any.whl |
|---|---|
| Size | 20.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
9ac44efddb4904cb9d3d5c59dfe20b45affa0c728ca57af38df9d60cf7d9060a
|
|
BLAKE2b-256 checksum How to use checksums |
a2de00b128e87b724ce9b741da0fd876fac4b0e5de9e0a93a4870ce6faf88c2c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Mar 27, 2025.
Transparency log