YOLO Object Detection with OpenCV in Python

Setup

1. Download and Install Python 3: [Windows: Python OR Anaconda] [Ubuntu: Already Installed]
2. Install Required Dependencies:

   pip3 install numpy
   pip3 install opencv-contrib-python

3. Clone this repository and make it the current working directory:

   git clone https://github.com/Tinker-Twins/YOLO-OpenCV-Python.git
   cd YOLO-OpenCV-Python

4. Download the weights to the working directory:

   cd YOLO-OpenCV-Python
   wget -c https://pjreddie.com/media/files/yolov2.weights
   wget -c https://pjreddie.com/media/files/yolov2-tiny.weights
   wget -c https://pjreddie.com/media/files/yolov3.weights
   wget -c https://pjreddie.com/media/files/yolov3-tiny.weights

Execution

1. Move to the local clone of this repository:

   cd YOLO-OpenCV-Python

   Note: Select appropriate weights and cfg files in object_detection.py before execution to use the respective YOLO model.

2. Execute the object_detection.py Python script:

   python3 object_detection.py

   Note: To terminate the execution, press the ESC key while the Object Detection window is selected.