This study is related to object detection in thermal infrared spectrum using YOLO-V5 framework for ADAS application. The trained network variants of YOLO-V5 are validated on GPU as well two different Edge-GPU devices which inlcude NVIDIA JETSON NANO and NVIDIA JETSON XAVIER NX boards.
YOLO-V5 repository can be downloaded from below link .
https://github.com/ultralytics/yolov5Install all the required pacakages to run YOLO-V5 on server or local machine
Downlaod the models trained on thermal data from trained models folder and put in runs/train folder inside yolo-v5 directory.
The trained models can be tested on thermal data.
The Thermal Dataset can be downloaded from the below link .
https://ieee-dataport.org/documents/c3i-thermal-automotive-datasetThe Complete inference results on thermal datasets are available and can be downloaded from the below link .
https://bit.ly/3lfvxhd