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HungLV package

Project description

[GreenLab] - Libraries

1. Description

This library is built for specific tasks

  • Face Recognition Project
    • Face Detection
    • Extract Face Embedding
    • Search Face in database
  • License Plate Recognition Project
  • Crowd Counting Project
    • Density Map-based method
    • Person Detection-based method
  • Imutils

Documentation: https://leviethung2103.github.io/

Pypi Project: https://pypi.org/project/greenlab-library/

2. Table of Contents

  • Setup guide
  • Usage
  • Examples
  • APIs
  • References

3. Setup guide

3.1 System requirements

  • Python>=3.6
  • CUDA==10.1
  • Tensorflow-GPU>=2.1.0
  • Keras==2.3.1

3.2 Installation

Create a new virtual environment, you can choose virtualenv or anaconda.

Virtualenv

python3 -m venv venv
source venv/bin/activate

Anaconda

# create environment 
conda create --name face_recog_test python=3.7
conda activate face_recog_test

Install packages and dependencies

# install dependencies for cpu 
pip install -r configs/requirements/cpu_base.txt
# or install dependencies for gpu 
pip install -r configs/requirements/gpu_base.txt

# install face recognition library
pip install --upgrade greenlab-library

4. Usage

4.1 Face Recognition Library

Documentation: https://leviethung2103.github.io/pkg/face_recognition.html

Getting started code: https://github.com/leviethung2103/face-recognition-baseline

4.2 License Plate Library

Documentation: https://leviethung2103.github.io/pkg/license_recog.html

Getting started code: https://github.com/leviethung2103/license-plate-baseline

4.3 Crowd Counting Library

Documentation: Getting started code: https://gitlab.com/greenlabs/crowdcounting

5. APIs

6. References

1. RetinaFaceModel

7. Maintainers

Author: Hung Le Viet

Last Update: July 20, 2020

Updates

  • [Jul 9] Initial version 0.1.1
  • [Jul 13] Make the models can run on GPU/CPU. Integrated rcnn library.
  • [Jul 20] Version 0.1.3: Update crowd counting into library. Restructure for requirements file.
  • [Nov 15] Fix bug nd.waitAll() when inference

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