AI-Powered-Detection

Practice objects detcetion & Facial emotion recognition with Keras

Inference

• Detection processing (Object detection & Facial Emotion): read detection_processing/README.md

  • Check out yolo.py to learn how to run this program. You will be able to choose between 1. Object dection and 2. Facial expression in your terminal.

  • Objects detections: COCO dataset + YOLOv3

    • Download yolov3-spp.weights and move the weights file to /detection_processing/yolov3-coco
    • yolov3-spp.weights is stronger in detection but slower in processing than yolov3.weights

  • Facial expression: emotion_model.hdf5 + haarcascade_frontalface_default.xml

    • Download yolov3-wider_16000.weights for face detection and move the file to /detection_processing/yolov3-coco

  • Detection results:

    • Objects detection:

    • Facial emotion recognition

Training

• Facial emotion detection training : read emotion_training/README.md

  • fer2013 dataset, Tensorflow and Keras

  • Colab : Tensorflow-gpu

  • Need to mount your Google drive on Colab to run train_emotion_classifier.py

Examples on Google Drive

• You can find the directory structures and weights files here