semvec/pypi-packages huggingface dataset:
facelandmarks 0.1.0
Human face landmarking via machine learning model
License: MIT
Keywords: python,pytorch,face,landmarks,machine learning

# Face-Landmarking
OpenCV and Pytorch based system for finding face landmarks coordinates. Based on LBF and MediaPipe models.
LBF and MediaPipe models are linearly projected and CNN finetuned into the system of landmarks used in:
Kleisner, K., TureÄŤek, P., Roberts, S.C. et al. How and why patterns of sexual dimorphism in human faces vary across the world. Sci Rep 11, 5978 (2021). https://doi.org/10.1038/s41598-021-85402-3

![image](https://github.com/JaroslavTrnka1/Face-Landmarking/assets/85038909/864c4de6-0dbf-46a5-aa3e-9c821bfb41a8)



!!!
![image](https://github.com/JaroslavTrnka1/Face-Landmarking/assets/85038909/df2b2c53-3d32-46f9-af3c-3561b1e64bd8)
Mongo-Auto-Connect 0.0.6
A python package for connecting with database.
License: MIT
Requires Python: >=3.7

# requirements_dev.txt we use for the testing

It makes it easier to install and manage dependencies for development and testing, separate from the dependencies required for production.

# difference between requirements_dev.txt and requirements.txt

requirements.txt is used to specify the dependencies required to run the production code of a Python project, while requirements_dev.txt is used to specify the dependencies required for development and testing purposes.

# tox.ini

We use if for the testing in the python package testing against different version of the python

## how tox works tox enviornment creation

1. Install depedencies and packages
2. Run commands
3. Its a combination of the (virtualenvwrapper and makefile)
4. It creates a .tox

# pyproject.toml

it is being used for configuration the python project it is a alternative of the setup.cfg file. its containts configuration related to the build system
such as the build tool used package name version author license and dependencies

# setup.cfg

In summary, setup.cfg is used by setuptools to configure the packaging and installation of a Python projec

# Testing python application

_types of testing_

1. Automated testing
2. Manual testing

_Mode of testing_

1. Unit testing
2. Integration tests

_Testing frameworks_

1. pytest
2. unittest
3. robotframework
4. selenium
5. behave
6. doctest

# check with the code style formatting and syntax(coding standard)

1. pylint
2. flake8(it is best because it containt 3 library pylint pycodestyle mccabe)
3. pycodestyle