Using opencv 4.7.0 for object detection, run the following inference:

…

ReadNetFromONNX (…)

Net. setPreferableBackend (DNN_BackEND-CUDA);

Net. setPreferableTarget (DNN_TARGetCUDA);

Net. setInput (blob);

Net. forward (outs, this. unconnectedOutLayersName);

…

The returned inference result is correct, and the coordinates, width, height, and confidence of each box are all correct.

But using opencv4.9.0 for inference, each box has a confidence level, but the coordinates and width and height are both 0.0

why? help me

without a link to your model I don’t know how to help you.

It’s not a problem with the model, any onnx model can trigger this bug.

Wait. Somebody certainly can solve your problem without model…

It’s not the same question

# The inference results of the ONNX model differ between GPU inference and CPU inference

and

# Using dnn+onnx in opencv4.9 outs error

but may be it’s the same user

It’s the same problem.

The same model, the same code (dnn+onnx+cuda), the same image to be inspected, but changing opencv4.7 to opencv4.9, the inference result will lose the target box coordinates and width and height.