Comments (4)
You can know its FPS by running demo of deeplabv3,example code is here : https://github.com/msnh2012/Msnhnet/blob/master/examples/deeplabv3_gpu/deeplabv3_gpu.cpp , just compile and run it。
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Thanks for your reply!
But I still cannot figure out the image size for testing image from the provided code.
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I got it, Thanks!
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Related Issues (20)
- 转换报错 HOT 1
- 编译Viewer时报错 HOT 1
- 模型转换的疑问 HOT 6
- any benchmark of msnhnet vs popular DL framework? HOT 4
- 支持nnunet模型吗?
- 这个项目支持yolov5n,yolov5 P6模型吗 HOT 1
- build error HOT 1
- 这么好的项目,可惜烂尾了
- onnx推理
- 这个项目非常好
- Can you provide pretrained models with google drive or drop box? HOT 2
- Compile on Ubuntu 18 failure. HOT 1
- warning: workspace size equal 0 cuda malloc failed HOT 2
- win10 vs2019上面一直编译失败 HOT 7
- pytorch的reshape 不是torch.Tensor下的op HOT 1
- compile with gpu error HOT 1
- compile gpu error
- Consider remove duplicated model directories
- compile faile HOT 7
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