Expected onnx model input mismatch with name in test_onnx.py

[norbertlink]

When trying test_onnx.py with the model from https://huggingface.co/onnx-community/metric3d-vit-large I got the following error: ValueError: Required inputs (['pixel_values']) are missing from input feed (['image'])
due to mismatch between the onnx_input dictionary used in the script and the input dictionary expected by the model.
Changing the key name from "image" to "pixel_values" in the code below will solve the issue.
onnx_input = {
"image": np.ascontiguousarray(
np.transpose(rgb, (2, 0, 1))[None], dtype=np.float32
), # 1, 3, H, W
}
to
onnx_input = {
"pixel_values": np.ascontiguousarray(
np.transpose(rgb, (2, 0, 1))[None], dtype=np.float32
), # 1, 3, H, W
}

[JUGGHM]

Thanks for your sincere report and I will update this in ReadMe.