Metadata-Version: 2.1
Name: neurobooth
Version: 0.1.0
Summary: A python library and framework for fast neural network computations.
Home-page: https://github.com/neurobooth/landmark-detection
License: BSD-3-Clause
Author: Andrew Chang
Requires-Python: >=3.8,<4.0
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Dist: h5io (>=0.1.7,<0.2.0)
Requires-Dist: jupyter (>=1.0.0,<2.0.0)
Requires-Dist: jupyterlab (>=2.2.9,<3.0.0)
Requires-Dist: matplotlib (>=3.3.3,<4.0.0)
Requires-Dist: mediapipe (==0.8.9.1)
Requires-Dist: moviepy (>=1.0.3,<2.0.0)
Requires-Dist: opencv-python (>=4.7.0,<5.0.0)
Requires-Dist: transformers (>=4.0.0,<5.0.0)
Requires-Dist: wget (>=3.2,<4.0)
Project-URL: Repository, https://github.com/neurobooth/landmark-detection
Description-Content-Type: text/markdown

# Landmark Detection

Neurobooth library for landmark detection of face features, face mesh, pose, etc. 

Installable with `pip install neurobooth`

If you have docker and docker-compose installed, you can run the following to set up a jupyter environment:

```
docker-compose build
docker-compose up
```
