| | --- |
| | library_name: transformers |
| | license: mit |
| | datasets: |
| | - OwensLab/CommunityForensics |
| | - OwensLab/CommunityForensics-Small |
| | --- |
| | |
| | This is a data processor for the Community Forensics classifiers. Detailed instructions will be updated at the [Community Forensics GitHub_repo](https://github.com/JeongsooP/Community-Forensics) in the future. |
| | - Code: [GitHub Repository](https://github.com/JeongsooP/Community-Forensics) |
| | - Paper: [arXiv](https://arxiv.org/abs/2411.04125) |
| |
|
| | ### Simple usage example. |
| | `dataprocessor_hf.py` is included in this repository. |
| | ```python |
| | import dataprocessor_hf as dphf |
| | from PIL import Image |
| | data_processor = dphf.CommForImageProcessor.from_pretrained('OwensLab/commfor-data-preprocessor', size=384) |
| | img = Image.open('path_to_img.png') |
| | processed_image = data_processor(img, mode='test') |
| | |
| | ``` |
