Real-time face detection and emotion/gender classification using fer2013/IMDB datasets with a keras CNN model and openCV.
- IMDB gender classification test accuracy: 96%.
- fer2013 emotion classification test accuracy: 66%.
python3 video_emotion_color_demo.py
python3 image_gradcam_demo.py
python3 image_emotion_gender_demo.py <image_path>
e.g.
python3 image_emotion_gender_demo.py ../images/test_image.jpg
With a few steps one can get its own face classification and detection running. Follow the commands below:
docker pull ekholabs/face-classifier
docker run -d -p 8084:8084 --name=face-classifier ekholabs/face-classifier
curl -v -F image=@[path_to_image] http://localhost:8084/classifyImage > image.png
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Download the fer2013.tar.gz file from here
-
Move the downloaded file to the datasets directory inside this repository.
-
Untar the file:
tar -xzf fer2013.tar
- Run the train_emotion_classification.py file
python3 train_emotion_classifier.py
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Download the imdb_crop.tar file from here (It's the 7GB button with the tittle Download faces only).
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Move the downloaded file to the datasets directory inside this repository.
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Untar the file:
tar -xfv imdb_crop.tar
- Run the train_gender_classification.py file
python3 train_gender_classifier.py
Original project by the B-IT-BOTS robotics team
For more information please consult the publication
![](https://raw.githubusercontent.com/gitliber/Basic_self_driving_car/master/LinkProf.jpeg)