Comments (3)
官方的pytorch代码, 模型推导onnx时在不同的文件夹, MobileV2_MLSD的代码不一致所以对应的onnx的init出现问题.
但是面临的新的问题, onnx input_shape是 [1, 3, 512, 512],同时img的data输入是:input_image shape is: (1, 3, 512, 512)
input_image type is: float32, 报如下错误:
run(): incompatible function arguments. The following argument types are supported:
1. (self: onnxruntime.capi.onnxruntime_pybind11_state.InferenceSession, arg0: List[str], arg1: Dict[str, object], arg2: onnxruntime.capi.onnxruntime_pybind11_state.RunOptions) -> List[object]
from m-lsd-onnxrun-cpp-py.
参考您的code, export要自己改动一下的,可以正常infer了.感谢
from m-lsd-onnxrun-cpp-py.
参考您的code, export要自己改动一下的,可以正常推断了.感谢
能说一下 改动的内容吗?非常感谢。
from m-lsd-onnxrun-cpp-py.
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