Recognition and Streaming in Realtime

Design by Tony Ngô

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Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. Usage
4. Roadmap
5. Contributing
6. License
7. Contact

About The Project

Built With

• Cuda Toolkit + CudaDNN
• Face Recognition
• OpenCV
• Flask

Getting Started

To run these code please do the following steps

Prerequisites

This is an example of how to list things you need to use the software and how to install them.

• All dependences

  pip install cmake
  pip install flask
  pip install face_recognition
  pip install tensorflow-gpu
  pip install opencv-contrib-python

Installation

1. Download CudaToolkit and CudaDNN from NVDIA or this link

   https://drive.google.com/drive/folders/1AruLdIXXJFrG7BkDT2-T_clontU7em1f?usp=sharing

2. Install CudaToolkit

3. Copy all of files in bin, include, lib FOLDERS from ..\cudnn-11.4-windows-x64-v8.2.2.26\cuda to corresponding FOLDERS C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.4

4. Copy below codes to terminal and run to build DLIB with CUDA

   git clone https://github.com/davisking/dlib.git
   cd dlib
   mkdir build
   cd build
   cmake .. -DDLIB_USE_CUDA=1 -DUSE_AVX_INSTRUCTIONS=1
   cmake --build .
   cd ..
   python setup.py install 

5. Check by these code

   python
   import dlib
   dlib.DLIB_USE_CUDA

   If the result returns "True" that you have successfully installed and built Dlib with CUDA. But it's print "False" you need to check above logs to find the errors, may be you copy cuDNN files not enough

Usage

Exactly how to use every codes I wrote it in file Readme.md of their folder, so let's check inside folders

For more examples, please refer to the Documentation

Roadmap

It contains in source code folders in above link Documentation

Contributing

You can pull requests and emails me for development

License

All of code is copied from lots of source in Github and Internet to remaster and optimized. This makes it will not be owned by any persons! Contact Author - Tony for more information.

Contact

Your Name - @thinhngotony - email - thinhngotony@gmail.com

More projects Link: https://github.com/thinhngotony