RealTime Emotion Recognizer for Machine Learning Study Jam's demo

Last update: Oct 05, 2021

Overview

Emotion recognizer

Clone project
Dataset
Install dependencies
Main program
Demo

1. Clone project

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

2. Dataset

Download here

3. Install dependencies

a. Download and install Anaconda:

Download latest version of Python
Download Anaconda package
Installation:
- For macOS
- For Windows
- For Linux

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

RealTime Emotion Recognizer for Machine Learning Study Jam's demo

Related tags

Overview

Emotion recognizer

Table of contents

1. Clone project

2. Dataset

3. Install dependencies

a. Download and install Anaconda:

b. Create environment

c. Install prerequisites

4. Run main program

5. Demo

Owner

Google Developer Student Club - UIT

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