Advanced Deep Learning with Python

A code example of YOLOv3 with OpenCV

In this section, we'll demonstrate how to use the YOLOv3 object detector with OpenCV. For this example, you'll need opencv-python 4.1.1 or higher, and 250 MB of disk space for the pretrained YOLO network. Let's begin with the following steps:

1. Start with the imports:

import os.pathimport cv2  # opencv importimport numpy as npimport requests

2. Add some boilerplate code that downloads and stores several configuration and data files. We'll start with the YOLOv3 network configuration yolo_config and weights, and we'll use them to initialize the net network. We'll use the YOLO author's GitHub and personal website to do this:

# Download YOLO net config file# We'll it from the YOLO author's github repoyolo_config ...