unable to replicate yolov4 onnx conversion example
Nobody has claimed this yet.
- Dominant language
- Jupyter Notebook
- Stars
- 9.8k
- Forks
- 1.6k
- PR merge metrics
- No merged PRs in 30d
Description
Bug Report
Which model does this pertain to?
Describe the bug
Attempted to replicate results using the steps described in Conversion.ipynb
The result is a much different graph that gives errors when running with the inference.ipynb
It only generates one output of shape: Output shape: [(1, 33, 84)]
Whereas your onnx model has output shape: Output shape: [(1, 52, 52, 3, 85), (1, 26, 26, 3, 85), (1, 13, 13, 3, 85)]
How did you change the output shape?
Reproduction instructions
System Information
OS Platform and Distribution (Linux Ubuntu 18.04):
ONNX version (1.7.0):
Backend/Runtime version (ONNX Runtime 1.5.2):
Provide a code snippet to reproduce your errors.
run the suggested tutorials as written:
https://github.com/onnx/models/blob/master/vision/object_detection_segmentation/yolov4/dependencies/Conversion.ipynb
https://github.com/onnx/models/blob/master/vision/object_detection_segmentation/yolov4/dependencies/inference.ipynb
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with dependencies/Conversion.ipynb and dependencies/inference.ipynb, then compare the converted graph with the repository's yolov4 model and its reported output shapes. Reproduce the notebooks using the stated ONNX and ONNX Runtime versions; done means the conversion produces the three expected outputs and the inference notebook runs without the reported errors.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 38/100