install yolov3 yolov4 yolov5 pytorch opencv cuda compiled GPU multi threading on ubantu 18.04 LTS
watch this previos tutorial or else you will not understand how to connect open cv and pytorch with gpu usind cuda cudnn
• install compile open cv 4.5 with cuda...
• install cuda 11 cudnn 8 in rtx gpu fo...
https://stackoverflow.com/questions/5...
https://stackoverflow.com/questions/4...
https://www.codegrepper.com/code-exam...
import torch
print(torch.__version__)
https://pyimagesearch.com/2015/08/10/...
https://stackoverflow.com/questions/6...
https://github.com/pjreddie/darknet/i...
https://docs.nvidia.com/tao/tao-toolk...
https://towardsdatascience.com/yolov4...
https://github.com/aj-ames/YOLOv4-Ope...
nvidia-smi to show how GPU is used dynamically
https://deeplearning.lipingyang.org/2...
if this error comes while you have an old GPU integrated mention the GPU device number in yolov5 training as 0 in my case it's 0 rtx 5000 your case it depends on the GPU where pytorch cuda drivers properly installed only use when it shows the below error as device 0 and install python 3.7 and above hence yolov5 accept GPU pytorch above 3.7
RuntimeError: NCCL Error 1: unhandled cuda error
python train.py --img 640 --batch 16 --epochs 3 --data /home/amit/yolov5/data/Custom.yaml --cfg /home/amit/yolov5/models/yolov5s.yaml --weights '' --name yolov5s_results --cache --device 0
https://github.com/pytorch/pytorch/is...
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