Metadata-Version: 2.1
Name: iirc
Version: 1.0.1
Summary: This package provides a way for adapting the different datasets (currently supports *CIFAR-100* and *ImageNet*) to  the *iirc* setup and the *class incremental learning* setup, and loading them in a standardized manner. 
Home-page: https://chandar-lab.github.io/IIRC/
Author: Mohamed Abdelsalam
Author-email: mabdelsalam944@gmail.com
License: MIT
Project-URL: Documentation, https://iirc.readthedocs.io/en/latest/
Project-URL: Source, https://github.com/chandar-lab/IIRC
Description: # iirc package
        ![img.png](https://raw.githubusercontent.com/chandar-lab/IIRC/master/docs/images/task_summary.png)
        
        This package provides a way for adapting the different datasets (currently supports *CIFAR-100* and *ImageNet*) to 
        the *iirc* setup and the *class incremental learning* setup, and loading them in a standardized manner.
        
        The documentation and usage guide are available [here](https://iirc.readthedocs.io/en/latest/)
        
        [Homepage](https://chandar-lab.github.io/IIRC/) | [Paper](https://arxiv.org/abs/2012.12477) | 
        [Documentation](https://iirc.readthedocs.io/en/latest/)
        
        ## Installation
        you can install this package using the following command
        
        ```pip install iirc```
        
        ## Dataset Downloading Instructions
        ### CIFAR-100
        To be able to run the code with *CIFAR-100* derived datasets, just download the dataset from the 
        [official website](https://www.cs.toronto.edu/~kriz/cifar-100-python.tar.gz) and extract it, or use the 
        *./utils/download_cifar.py* file. 
        
        ### ImageNet
        In the case of ImageNet, it has to be downloaded manually, and be arranged in the following manner: 
        * dataset folder
          * train 
            * n01440764
            * n01443537
            * …
          * val 
            * n01440764 
            * n01443537 
            * …
            
        ## Contributing
        If you think you can help us make the **iirc** package more useful for the lifelong learning 
        community, please don't hesistate to submit an issue or send a pull request.
        
        ## Citation
        If you find this work useful for your research, this is the way to cite it:
        
        ```
        @misc{abdelsalam2021iirc,
        title = {IIRC: Incremental Implicitly-Refined Classification},
        author={Mohamed Abdelsalam and Mojtaba Faramarzi and Shagun Sodhani and Sarath Chandar},
        year={2021}, eprint={2012.12477}, archivePrefix={arXiv},
        primaryClass={cs.CV} }
        ```
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3
Description-Content-Type: text/markdown
