GitHub

The PyTorch Implementation based on YOLOv4 of the paper: Complex-YOLO: Real-time 3D Object Detection on Point Clouds

For mayavi and shapely libraries, please refer to the installation instructions from their official websites.
GitHub

YOLOv4_Darknet_Installation_Training_Inferencing_Automation.ipynb

"* Install the Darknet YOLOv4 training environment\n", "* Download our custom dataset for YOLOv4 and set up directories\n", "* Configure a custom YOLOv4 training ...
IEEE

YOLO-Waste: Utilizing YOLOv4 and YOLOv4-tiny for Waste Classification and Management

Abstract: Waste Management refers to a process that begins with the detection of various waste types and gradually manages waste from its conception through its disposal. Since it is extremely ...
IEEE

R-YOLOV4: Enhancing Unmanned Aerial Vehicle Target Detection Through Rotational Object Detection and Feature Alignment

Abstract: In response to the challenges of target detection from the perspective of unmanned aerial vehicles (UAVs), we propose the R-YOLOV4 Rotational Object Detection Algorithm. Specifically, ...
Scientific Research Publishing

Gao, J.L., Bai, T.B., Yao, D.C., et al. (2022) Detection of Track Fastener Based on Improved YOLOv4 Algorithm. Science Technology and Engineering, 22, 2872-2877.

ABSTRACT: As an important part of railway lines, the healthy service status of track fasteners was very important to ensure the safety of trains. The application of deep learning algorithms was ...