Deep-Surveillance-Monitor-Facial-Emotion-Age-Gender-Recognition-System
Computer Vision module for detecting emotion, age and gender of a person in any given image, video or real time webcam. A custom VGG16 model was developed and trained on open source facial datasets downloaded from Kaggle and IMDB. OpenCV,dlib & keras were used to aid facial detection and video processing. The final system can detect the emotion, age and gender of people in any given image, video or real time webcam
File Explorer
Download Latest Version (.zip)- abraham.jpg
- Hillary.jpg
- meet.jpg
- obama.jpg
- rahulgandhi.jpg
- Trump.jpg
- emotion_little_vgg_2.h5
- abraham.jpg
- Hillary.jpg
- meet.jpg
- obama.jpg
- output_webcam_011724.png
- rahulgandhi.jpg
- Trump.jpg
- supermarket.mp4
- .gitattributes
- Age, Gender with Emotion.ipynb
- CITATION.cff
- CODE_OF_CONDUCT.md
- CONTRIBUTING.md
- LICENSE
- output_video.mp4
- output_video1.gif
- output_webcam_011724.png
- README.md
- requirements.txt
- wide_resnet.py
# Installation Guide
1. Get the code
git clone https://github.com/kaushikjadhav01/Deep-Surveillance-Monitor-Facial-Emotion-Age-Gender-Recognition-System
Downloads the entire project code from GitHub to your computer.
cd Deep-Surveillance-Monitor-Facial-Emotion-Age-Gender-Recognition-System
Moves into the project folder you just downloaded.
2. Python
Easy RecommendedPrerequisites
pip install -r requirements.txt
Installs the Python libraries listed in requirements.txt (or similar).
jupyter notebook
Launches Jupyter in your browser so you can open and run the notebook (.ipynb) files.
If it runs without errors and prints output in the terminal, it worked.
// repository documentation
Was this content helpful?
(0 ratings)