RealTime Emotion Recognizer for Machine Learning Study Jam's demo

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

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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

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