CPP source code to run tinyYolo V3 on onnxruntime
Nobody has claimed this yet.
- Dominant language
- Jupyter Notebook
- Stars
- 9.8k
- Forks
- 1.6k
- PR merge metrics
- No merged PRs in 30d
Description
Hi All,
Currently, I'm port tiny Yolo v3 on onnxruntime on CPP code.
the sample code of Preprocessing/Postprocessing steps in python, but i'm not familiar with this language.
So could anyone share me the sample Preprocessing/Postprocessing steps in C/CPP
Thanks
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 by locating the tiny YOLO v3 ONNX Runtime model example and its existing Python preprocessing and postprocessing steps in the repository. Define the corresponding C/C++ sample scope, then verify that it runs inference and produces equivalent detection results; the issue names no specific files or tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp, python
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100