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2 years ago 👋 Hello @yjackboo, 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.
glenn-jocher
yjackboo
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Question
Hi Thank you so much for this great repository.
I am a very beginner to coding and yolo algorithm. I know we can add some background images for our dataset in yolov5 without adding any annotation text file. I know we can divide our dataset manually for train and validation. but I have a problem how to divide a dataset using python script if there are some images they don't have any annotation txt files. is it ok to create empty text files for those images and split the dataset ?. or how can we do that ?
Thank you so much for any help.
Additional
No response