Metadata-Version: 2.1
Name: dronevis
Version: 0.1.0
Summary: Full compatible drone library to automate computer vision algorithms on parrot drones.
Author-email: Ahmed Heakl <ahmed.heakl@ejust.edu.eg>
Project-URL: repository, https://github.com/ahmedheakl/drone-vis
Keywords: drones,computer vision,human tracking,object recognition,YOLO
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: gluoncv (>=0.10.5)
Requires-Dist: matplotlib (>=3.5.3)
Requires-Dist: mxnet (>=1.9.0)
Requires-Dist: numpy (>=1.17.4)
Requires-Dist: opencv-python (>=4.6.0.66)
Requires-Dist: Pillow (>=9.3.0)
Requires-Dist: setuptools (>=45.2.0)
Requires-Dist: torch (>=1.13.0)
Requires-Dist: torchvision (>=0.14.0)
Requires-Dist: mediapipe (>=0.8.0)
Provides-Extra: build
Requires-Dist: build ; extra == 'build'
Requires-Dist: twine ; extra == 'build'
Provides-Extra: dev
Requires-Dist: black ; extra == 'dev'
Requires-Dist: bumpver ; extra == 'dev'

# DroneVis: Full compatible drone library to automate computer vision algorithms on parrot drones.

