YOLOv4 Object Detection using Pre-trained Model

This repository contains a Python notebook demonstrating how to perform object detection using a pre-trained YOLOv4 model.

Notebook Overview

The provided notebook demonstrates how to utilize a pre-trained YOLOv4 model for object detection tasks. It covers the following steps:

1. Downloading the pre-trained YOLOv4 weights and configuration files from https://github.com/AlexeyAB/darknet
2. Loading the YOLOv4 model using OpenCV's dnn module.
3. Preprocessing an input image for inference.
4. Performing object detection on the input image using the YOLOv4 model.
5. Post-processing the detection results, including non-maximum suppression (NMS) to filter out overlapping bounding boxes.
6. Displaying the detected objects on the original image.

Original Image

Results