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2 years ago 👋 Hello @GiaZ90, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.
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Requirements
Python>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started:
git clone https://github.com/ultralytics/yolov5 # clone
cd yolov5
pip install -r requirements.txt # installEnvironments
YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):
- Google Colab and Kaggle notebooks with free GPU:
- Google Cloud Deep Learning VM. See GCP Quickstart Guide
- Amazon Deep Learning AMI. See AWS Quickstart Guide
- Docker Image. See Docker Quickstart Guide
Status
If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training (train.py), validation (val.py), inference (detect.py) and export (export.py) on macOS, Windows, and Ubuntu every 24 hours and on every commit.
MartinPedersenpp
GiaZ90
glenn-jocher
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Question
I'm training a neural network with coco128 dataset and yolov5s ...actually yolo is using only Cpu for traning instead of my gpu (gtx 1080 ) and it works fine.How can i use my gpu...i think the problem is the torch version as displayed in this code line
YOLOv5 2022-4-22 torch 1.11.0+cpu CPUgenerated afterpython train.py --img 640 --batch 16 --epochs 3 --data coco128.yaml --weights yolov5s.pAny idea? Thank youAdditional
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