RealTime Emotion Recognizer for Machine Learning Study Jam's demo

Overview

Emotion recognizer

Table of contents

  1. Clone project
  2. Dataset
  3. Install dependencies
  4. Main program
  5. Demo

1. Clone project

git clone https://github.com/GDSC2021/emotion-recognizer 

2. Dataset

3. Install dependencies

a. Download and install Anaconda:
b. Create environment
conda init
conda create -n emotion-detect python=3.8 -y
conda activate emotion-detect
c. Install prerequisites
  • Open Terminal (macOS and Linux) or Anaconda Prompt (Windows)
  • Go to your cloned directory
  • Run:
    • For Windows
      pip install matplotlib pandas pillow autopep8 sklearn tensorflow keras opencv-python seaborn
    • For macOS
      chmod +x dependencies/mac/dependencies.sh && ./dependencies/mac/dependencies.sh
    • For Linux
      chmod +x dependencies/linux/linux.sh && ./dependencies/linux/linux.sh

4. Run main program

  • Run program:
python src/main.py  #For Windows
python3 src/main.py #For macOS and Linux
  • To abort program, press the combination of Ctrl + C

5. Demo

Screen Shot 2021-09-19 at 11 04 25
Owner
Google Developer Student Club - UIT
Google Developer Student Club - UIT
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