Download YOLOv3 or tiny_yolov3 weights from YOLO website.Then convert the Darknet YOLO model to a Keras model. Or use the converted model from https://drive.google.com/file/d/1uvXFacPnrSMw6ldWTyLLjGLETlEsUvcE/view?usp=sharing (yolo.h5 model file with tf-1.4.0) , then put it into model_data folder and Run yolo.py. Then Run python demo.py. I have used Anaconda cmd. The code ignores everything but detecting only person.
NumPy
sklean
OpenCV
Pillow
Additionally, feature generation requires TensorFlow-1.4.0.
