moclaphar 0.0.22

This packages mainly aims to make an easy process for dataset manipulation.

moclaphar

Motion Classification Human Activity Recognition Helper Package

Usage

dataset

HDF5Generator

from moclaphar.dataset.hdf5generator import HDF5Generator

dataset = HDF5Generator("/dataset/path", "training")

dataset.data['training_data']
dataset.data['training_label']

make_training_data

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

from moclaphar.annotator import run_annotator

run_annotator("/video/file/path/", "/data/file/path/csv/or/mat/", vw=1024)

or

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