Movatterモバイル変換


[0]ホーム

URL:


Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Sign up
Appearance settings
NotificationsYou must be signed in to change notification settings

ankit2web/Expression-Detection-using-Tensorflow-Machine-Learning

Repository files navigation

How to setup the environment to use this project ?

  1. Download & Install 64 bit ofPython3 on your system from.

  2. Once python is installed, download virtualenv package on your system. To do that open any terminal window on your system (CMD/Powershell on Windows) & typepython -m pip install virtualenv

  3. Now create a virtual environment in the project's root directory to hold all the required dependencies needed to execute this project. To do that, navigate to root of this project & open a terminal window over there & then typepython -m virtualenv venv

  4. Activate the virtual environment

  • On windows :venv\Scripts\activate
  • On mac/linux :source venv/bin/activate
  1. Virtual environment will be activated &(venv) will start appearing in your terminal window indicating successful activation of the virtual environment

  2. Install project dependencies,pip install -r requirements.txt

  3. Now all required packages will be installed.

  4. Now run ROI.py :python ROI.py

  5. Train the CNN Model using test dataset :python TrainCNNModel.py

  6. Start init script after all train epochs are completed :python ExpressionInit.py

  7. It should now open a camera window which will detect Expressions of any person present in front of it, Cheers !!

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages


[8]ページ先頭

©2009-2025 Movatter.jp