Closed prarthanasigedar closed 1 year ago
👋 Hello @prarthanasigedar, 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.
If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it.
If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our Tips for Best Training Results.
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 # install
YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):
If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training, validation, inference, export and benchmarks on MacOS, Windows, and Ubuntu every 24 hours and on every commit.
We're excited to announce the launch of our latest state-of-the-art (SOTA) object detection model for 2023 - YOLOv8 🚀!
Designed to be fast, accurate, and easy to use, YOLOv8 is an ideal choice for a wide range of object detection, image segmentation and image classification tasks. With YOLOv8, you'll be able to quickly and accurately detect objects in real-time, streamline your workflows, and achieve new levels of accuracy in your projects.
Check out our YOLOv8 Docs for details and get started with:
pip install ultralytics
I had no issue converting to ONNX. Perhaps you should report the issues/errors you're having.
👋 Hello, this issue has been automatically marked as stale because it has not had recent activity. Please note it will be closed if no further activity occurs.
Access additional YOLOv5 🚀 resources:
Access additional Ultralytics ⚡ resources:
Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!
Thank you for your contributions to YOLOv5 🚀 and Vision AI ⭐!
@knoppmyth thanks for reaching out! It's great to hear that you had no issues converting to ONNX. Can you please provide more details about the issues or errors you encountered during the conversion? This would help us better understand and assist with resolving the problem.
@glenn-jocher you and the team made the conversation process easy! Thanks! But, I think you should be asking @prarthanasigedar what issues they encountered.
Thanks for your kind words, @knoppmyth! 😊 I appreciate your suggestion, and I'll make sure to loop in @prarthanasigedar to get further details about the issues they encountered during the conversion process. Your proactive contribution to the discussion is greatly valued!
Search before asking
Question
I am trying to convert py-torch yolo model to onx format so as to use it on opencv. Is pytorch 1.13 compatible with onx format as I am facing issues after conversion in onx format?
Additional
No response