This application was developed to detect cars in Forza Horizon 4 gameplay video

Results of the the application using Yolo V4

Original video: https://www.youtube.com/watch?v=qPFYkgxRFBo

Darknet

Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.

Yolo V4

You only look once (YOLO) is a family of one-stage object detectors that are fast and accurate.

Scaled-YOLOv4:

• paper: https://arxiv.org/abs/2011.08036

• source code - Darknet: https://github.com/AlexeyAB/darknet

• Medium: https://alexeyab84.medium.com/scaled-yolo-v4-is-the-best-neural-network-for-object-detection-on-ms-coco-dataset-39dfa22fa982?source=friends_link&sk=c8553bfed861b1a7932f739d26f487c8

YOLOv4:

• paper: https://arxiv.org/abs/2004.10934

• source code: https://github.com/AlexeyAB/darknet

• Wiki: https://github.com/AlexeyAB/darknet/wiki

For more information see the Darknet project website.

---

A similar structure like the image below should be created, the darknet repository can be cloned using the link indicated above.

The Yolo V4 weights are available in the link below:

https://github.com/AlexeyAB/darknet/releases/download/darknet_yolo_v3_optimal/yolov4.weights

---

The files coco.names, yolov4.cfg and yolov4.weights need to be saved inside the darknet folder or in any other location and indicated in the python notebook car_detection.ipynb

---

Requirements:

• Matplotlib pip install matplotlib
• Numpy pip install numpy
• OpenCV pip install opencv-python
• Contrib pip install opencv-contrib-python
• Darknet

---

In case of any questions, please contact me: [email protected]