ultraface detect failed
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Description
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D:\code\Models\models\validated\vision\body_analysis\ultraface
PS D:\code\Models\models\validated\vision\body_analysis\ultraface> python .\demo.py -i .\dependencies\3.jpg
Question
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failed
Further information
Relevant Area (e.g. model usage, backend, best practices, pre-/post- processing, converters):
Is this issue related to a specific model?
**Model name: ../ultraface/models/version-RFB-320.onnx (e.g. mnist):
Model opset (e.g. 7):
PS D:\code\Models\models\validated\vision\body_analysis\ultraface> python .\demo.py -i .\dependencies\3.jpg
Traceback (most recent call last):
File "D:\code\Models\models\validated\vision\body_analysis\ultraface\demo.py", line 18, in
face_detector = ort.InferenceSession(face_detector_onnx)
File "C:\Users\zhangtt35\AppData\Local\Programs\Python\Python39\lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py", line 419, in init
self._create_inference_session(providers, provider_options, disabled_optimizers)
File "C:\Users\zhangtt35\AppData\Local\Programs\Python\Python39\lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py", line 480, in _create_inference_session
sess = C.InferenceSession(session_options, self._model_path, True, self._read_config_from_model)
onnxruntime.capi.onnxruntime_pybind11_state.InvalidProtobuf: [ONNXRuntimeError] : 7 : INVALID_PROTOBUF : Load model from ../ultraface/models/version-RFB-320.onnx failed:Protobuf parsing failed.
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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 reproducing the command in demo.py with dependencies/3.jpg and inspect the referenced models/version-RFB-320.onnx path. Trace the InferenceSession setup and determine why the model cannot be parsed; the issue is done when the documented demo loads the model successfully.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100