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