YOLOv3-Neural-Networks-project-Tensorflow 2.1.x

Final project for Neural Networks course -> Implementation of the paper "YOLOv3: An incremental improvement" (https://arxiv.org/pdf/1804.02767.pdf).

Full report here.

Prerequisites

This project is written in Python 3.6.9 using Tensorflow (deep learning), NumPy (numerical computing) and OpenCV (computer vision).

pip install -r requirements.txt

Downloading official pretrained weights

Let's download official weights pretrained on COCO dataset.

wget -P weights https://pjreddie.com/media/files/yolov3.weights

Running the model

Now you can run the model using detection.py script by calling python3.

Acknowledgments

• Yolo v1 official paper
• Yolo v2 official paper
• Yolo v3 official paper