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@Inkorak Hi, sorry for late reply, it's better to ask question in issues. You can use deploy configs in |
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How to export the detection model with prediction scores?
Something like:
onnx_config = dict(
dynamic_axes={
'input': {
0: 'batch',
2: 'height',
3: 'width'
},
'dets': {
0: 'batch',
1: 'num_dets',
},
'labels': {
0: 'batch',
1: 'num_dets',
},
'scores': {
0: 'batch',
1: 'num_dets',
},
})
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