Yolov8 model conversion
I tried to convert the YOLOv8 model into .nef after optimizing the ONNX model. I performed the following steps:
bie_path = model_config.analysis(input_mapping, threads=4)
fixed_results = ktc.kneron_inference(input_mapping, bie_file=bie_path, input_names=input_names_onnx, platform=630)
I'm encountering an error, and I have attached a screenshot of it."
Could you please help me with this?
The discussion has been closed due to inactivity. To continue with the topic, please feel free to post a new discussion.
Comments
Hi Haresh,
The error says, "Input name does not match," with the onnx input ({input_nodes}) and given np ({input_np.keys()}), so you might want to make sure that the order of the names are matching the order of inputs in pre_results:
The onnx input seems to be (['images', '/model.22/Constant_24_output_0', '/model.22/Constant_23_output_0', '/model.22/Constant_16_output_0', '/model.22/Constant_14_output_0', '/model.22/Constant_13_output_0']) and the given np is (dict_keys(['images'])).
If possible, you could also provide us with your model, script, and images so we could take a look. Thanks!
Hi, Maria
I have resolve that issue, thanks for your valuable response. If any further issues I am facing then I will let you know.