Python Command Line Tool

.gitignore

# Local
.idea
.vscode/

# Media
.mp4
.png
.db

# Python
.pyc
__pycache__

# Others
_models
_data
models
data

# Installation
bin
build
dist
.egg-info

__init__.py

from .demo import demo

command.md

Steps

1. Create a fresh directory
2. In that fresh directory create the following files
   • setup.py
   • README.md
   • MANIFEST.in
   • .gitignore
   • _init_.py (empty file)
   • my_package/ directory
   • bin/ directory
3. In the my_package/ directory
   • src/ directory
   • _init_.py
   • demo.py
4. In the bin/ directory
   • my_package
     • You may need to run dos2unix on this if you code in Windows and run in Unix

demo.py

import sys
from pathlib import Path

MAIN_DIR = Path(__file__).parent.absolute()
sys.path.append(str(MAIN_DIR))

import src.<> as <>

def demo():
    pass

MANIFEST.in

include README.md

my_package

#!/usr/bin/env python3

import sys
import argparse
from pathlib import Path

MAIN_DIR = Path(__file__).parent.absolute().parent.absolute()
sys.path.append(str(MAIN_DIR))

def main():
	parser = argparse.ArgumentParser(description='Bla Bla Bla')
	parser.add_argument('indir', type=str, help='Input dir containing images')
	parser.add_argument('model', type=str, help='3D CNN model path')
	parser.add_argument('--outdir', type=str, help='Output dir for image results')
	parser.add_argument('--conf', type=float, help='Some threshold (default=0.6)', default=0.6)
	print ('')
	print (' ----------------------------------------------------------------------- ')
	args = parser.parse_args()

	print ('')
	args = vars(args)
	indir = args['indir']
	model = args['model']
	outdir = args['outdir']
	conf = args['conf']
  
  
  import my_package as myp
  myp.demo()

if __name__ == "__main__":
	main()

setup.py

from setuptools import setup

def readme():
    with open('README.md') as f:
        return f.read()

setup(name='my_package',
      version='0.2',
      description='Estimation of 3D human pose using inputs from a Microsoft Kinect v2 camera',
      long_description=readme(),
      # long_description='Uses a 3D CNN which takes as input a 3D Point Cloud and outputs 3D locations and body-part associations for various body-joints',
      classifiers=[
	    'Programming Language :: Python :: 3.6',	 # https://pypi.org/classifiers/
      ],
      keywords="sample package, test package",
      url='https://gist.github.com/prerakmody',
      author='Prerak Mody',
      author_email='prerakmody@mindyourbusiness.com',
      license='',
      packages=['my_package', 'my_package.src'], # rom setuptools import find_packages; packages=find_packages()
      install_requires=[],
      scripts=['bin/my_package'],
      include_package_data=True,
      zip_safe=False)