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那640*640的图片80类来说,我们的是 output name: output tensor: float32[1,255,20,20] 691 name: 691 tensor: float32[1,255,40,40] 690 name: 690 tensor: float32[1,255,80,80]
官网的是
output name: output tensor: float32[1,25200,85] 350 name: 350 tensor: float32[1,3,80,80,85] 416 name: 416 tensor: float32[1,3,40,40,85] 482 name: 482 tensor: float32[1,3,20,20,85]
官网的['output']是由我们['output', '691', '690']组合而成,请问我们该如何reshape+concat才能变成一样格式onnx?
The text was updated successfully, but these errors were encountered:
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那640*640的图片80类来说,我们的是
output
name: output
tensor: float32[1,255,20,20]
691
name: 691
tensor: float32[1,255,40,40]
690
name: 690
tensor: float32[1,255,80,80]
官网的是
output
name: output
tensor: float32[1,25200,85]
350
name: 350
tensor: float32[1,3,80,80,85]
416
name: 416
tensor: float32[1,3,40,40,85]
482
name: 482
tensor: float32[1,3,20,20,85]
官网的['output']是由我们['output', '691', '690']组合而成,请问我们该如何reshape+concat才能变成一样格式onnx?
The text was updated successfully, but these errors were encountered: