microsoft / microsoft/onnxruntime-inference-examples
model is taken from the source: Yolov8 in extensions and with support for pre/postprocessing does not detect objects.
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Description
Hello. Please help me solve the problem.
I am trying to run an object detection application for the ONNX runtime on Android. The model in the example yolov8n_with_pre_post_processing.onnx works without problems.
But the model is taken from the source: Yolov8 in extensions and with support for pre/postprocessing does not detect objects.
What can I do wrong?
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Research direction
Start with the Android ONNX Runtime object-detection example and compare the working yolov8n_with_pre_post_processing.onnx model with the model produced from the YOLOv8 extensions source. Check their inputs, outputs, and preprocessing/postprocessing behavior. Done means the source-built model detects objects in the Android application, with the export or compatibility difference identified.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- android, cpp, machine-learning
- Domain
- computer-vision, machine-learning, mobile-dev
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100