media-smart / cheetahinfer Goto Github PK
View Code? Open in Web Editor NEWA C++ inference SDK based on TensorRT
License: Apache License 2.0
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seeker1943 play2boy rqbrother ischihmo dbofseuofhust xiaoye77 hkksimple tianhaofu hxl1990 dvampire tonylibing chaucerg zfxu kuro96 c-h-wongcheetahinfer's Issues
相同的模型在cheetahinfer和flexinfer下输出不一样
您好！
我使用volksdep转换pytorch->onnx到float32精度的trt模型，分别使用您提供的python接口和c++接口推理，在确认对模型输入数据相同的情况下，python接口和c++的输出略有不同，其中python接口的输出和pytorch模型的输出完全一致。
python：
'hm': -4.7435, -4.9425, -5.0953...
'wh': 2.9964, 6.2605, 9.4454...
'reg':0.3520, 0.4671, 0.4568...
c++:
f32hm[0]: -4.79173 f32hm[1]: -4.93249 f32hm[2]: -5.12284
f32wh[0]: 3.20822 f32wh[1]: 6.29681 f32wh[2]: 9.39095
f32reg[0]: 0.346569 f32reg[1]: 0.466546 f32reg[2]: 0.455642
不知道您是否遇到过类似情况？可否给我一些建议？
十分感谢！
Will detection and segmentation models be supported?
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