jiaqizhang123-stack
jiaqizhang123-stack
> ### **mmsegment的pspnet训练后,转化为tensorrt模型与onnx模型,推理速度慢了一倍,推理结果是正确的,以下是推理时间:** > > pytorch:0.048s tensorrt:0.08s tensorrt f16:0.08s onxruntime-gpu:0.09s > ### **1050ti的环境: > > 2022-06-07 14:38:31,810 - mmdeploy - INFO - > > 2022-06-07 14:38:31,810 - mmdeploy - INFO...
022-07-22 17:33:45,989 - mmdeploy - INFO - 2022-07-22 17:33:45,989 - mmdeploy - INFO - **********Environmental information********** fatal: ambiguous argument 'HEAD': unknown revision or path not in the working tree. Use...
And when I use './object_detection cuda /media/zhang/DATA11/work_dir/TensorRT/trans_segmask3onnx/epoch_36 /home/zhang/mmdeploy/0_0152.bmp' inference .onnx. The problem occured. [2022-07-22 17:31:45.346] [mmdeploy] [info] [model.cpp:95] Register 'DirectoryModel' [2022-07-22 17:31:45.378] [mmdeploy] [info] [model.cpp:38] DirectoryModel successfully load sdk model...
Thanks for your answer, but I am using the precompiled package of mmdeploy, and "2022-07-22 17:33:47,476 - mmdeploy - INFO - onnxruntime: 1.10.0 ops_is_avaliable : True" is ok. Do I...
For python, I don't know how to run object_detection.py. When I put it in this directory it will not give an error. But above problems occured.  For c++, by“mkdir...
This is my code. for (int i = 0; i < nStreams; i++) { buffers->copyInputToDeviceAsync(stream[i]); } contextt1->enqueueV2(buffers->getDeviceBindings().data(), stream[0], NULL); contextt2->enqueueV2(buffers->getDeviceBindings().data(), stream[1], NULL); contextt3->enqueueV2(buffers->getDeviceBindings().data(), stream[2], NULL); for (int i = 0;...
Where should this be modified?
By modifying the parameters of the nvidia control panel, the test time is still unstable. What is the reason for this?
Hello, I want to ask how to converte yolomask.yaml to onnx. I made a mistake here. 
 Hello, my training model is yolov5n seg, and the above error will also occur when the batch size is 1. I think this error has nothing to do with...