Metadata-Version: 2.1
Name: moclaphar
Version: 0.0.11
Summary: This packages mainly aims to make an easy process for dataset manipulation.
Home-page: https://github.com/JeiKeiLim/moclaphar
Author: Jongkuk Lim
Author-email: lim.jeikei@gmail.com
License: MIT
Description: # moclaphar
        Motion Classification Human Activity Recognition Helper Package
        
        # Usage
        ## dataset
        ### HDF5Generator
        ```python
        from moclaphar.dataset.hdf5generator import HDF5Generator
        
        dataset = HDF5Generator("/dataset/path", "training")
        
        dataset.data['training_data']
        dataset.data['training_label']
        ```
        
        
        ### make_training_data
        ```python
        from moclaphar.dataset.dataset import make_training_data
        
        make_training_data(data_root="/annotated/data/root/dir/",
                           save_root="/dir/to/store/hdf5/files",
                           window_size=300, stride=90, chunk_size=100)
        ```
        
        ## annotator
        ### run_annotator
        ```python
        from moclaphar.annotator import run_annotator
        
        run_annotator("/video/file/path/", "/data/file/path/csv/or/mat/", vw=1024)
        ```
        or
        ```python
        from moclaphar.annotator import run_annotator
        
        run_annotator("", "", vw=1024)
        ```
        The file selector dialogue will prompt.
        
        # Getting started
        ## pip install
        ```
        pip install moclaphar
        ```
        
        ## Environments
        - Python 3.6
        
        ## Dependencies
        ```
        pip install -r requirements.txt
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
