Real-Time-Object-Detection

Python implementation of YoloV2 algorithm for Real Time Object Detection

YOLO object detection: the YOLO algorithm:

To understand the YOLO algorithm, it is necessary to establish what is actually being predicted. Ultimately, we aim to predict a class of an object and the bounding box specifying object location. Each bounding box can be described using four descriptors:

1. center of a bounding box (bxby)
   
2. width (bw)
   
3. height (bh)
   
4. value cis corresponding to a class of an object (e.g., car, traffic lights, etc.)
   

Structural Representation of YOLO - Algo:

How to use:

1. Clone the repo
2. Clone the darknet repo using following command: git clone https://github.com/pjreddie/darknet.git
3. Run the main.py

Sample Result: