-
-
Notifications
You must be signed in to change notification settings - Fork 16.2k
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Yolov5s onnx model inference #13343
Comments
👋 Hello @anazkhan, thank you for your interest in YOLOv5 🚀! Please check out our ⭐️ Tutorials for guidance on various tasks such as ONNX Export and Inference. If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it. For your specific issue, ensuring you have the correct post-processing steps is key when working with ONNX outputs. Also, make sure you meet the following requirements: RequirementsPython>=3.8.0 with all requirements.txt installed. To get started: git clone https:/ultralytics/yolov5 # clone
cd yolov5
pip install -r requirements.txt # install EnvironmentsYOLOv5 can be run in any of the following environments:
StatusIf the badge is green, all tests are passing 👍. Introducing YOLOv8 🚀Explore our state-of-the-art YOLOv8 here for enhanced capabilities in object detection and image processing tasks. Install with: pip install ultralytics This is an automated response. An Ultralytics engineer will assist you further soon. Thanks for your patience! 😊 |
Search before asking
Question
Hi , I am unable to get bounding boxes from the output i got by running yolov5s onnx model in onnx runtime. The output is list of arrays of the shape (3,52,52,85) , (3,26,26,85) , (3,13,13,85) respectively . it will be helpful if you can provide me with the postprocess code to define the bounding boxes.
Additional
No response
The text was updated successfully, but these errors were encountered: