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CMU-Perceptual-Computing-Lab / openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
https://cmu-perceptual-computing-lab.github.io/openpose
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Can not running well on Jetson Xavier NX #2123

Open Alexleisandao opened 2 years ago

Alexleisandao commented 2 years ago

Issue Summary After compiling without any error Openpose 1.7 on Xavier NX (Jetpack 4.5), running: ./build/examples/openpose/openpose.bin --video ./examples/media/video.avi --net_resolution "256x144" makes it freeze for minutes, before the process gets killed.

There is no issue with a smaller net-resolution like "128x96" (at least no crash, but it takes up to 3 min to run!), but I am surprised because I was using this net-resolution on the Jetson TX2 and Openpose 1.6 (and even bigger net-resolution) and everything was working.

I can see with jtop that the memory (8GB) gets full pretty quickly.

Type of Issue Execution error Your System Configuration Whole console output ./build/examples/openpose/openpose.bin --video ./examples/media/video.avi --net_resolution "256x144" Starting OpenPose demo... Configuring OpenPose... Starting thread(s)... Auto-detecting all available GPUs... Detected 1 GPU(s), using 1 of them starting at GPU 0. killed OpenPose version: 1.7

General configuration:

Installation mode: cmake .. -D CUDA_HOST_COMPILER=/usr/bin/cc \ -D CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda \ -D CUDA_USE_STATIC_CUDA_RUNTIME=ON \ -D CUDA_rt_LIBRARY=/usr/lib/aarch64-linux-gnu/librt.so \ -D CUDA_ARCH_BIN=7.2 \ -D GPU_MODE=CUDA \ -D DOWNLOAD_FACE_MODEL=ON \ -D DOWNLOAD_COCO_MODEL=ON \ -D USE_OPENCV=ON \ -D BUILD_PYTHON=OFF \ -D BUILD_EXAMPLES=ON \ -D BUILD_DOCS=OFF \ -D DOWNLOAD_HAND_MODEL=ON make -jnproc Operating system: Jetpack 4.5 cat /etc/nv_tegra_release R32 (release), REVISION: 5.1, GCID: 26202423, BOARD: t186ref, EABI: aarch64 3rd-party software:

Caffe version: Default from OpenPose CMake version: 3.23.0 GPU mode issue:

CUDA version: 10.2 cuDNN version: 8.0

Alexleisandao commented 2 years ago

Anyone else have fixed it? Please help me.It is been bothering me for a long time.

xiepip commented 2 years ago

I came across the same issue. Did you fix it? Thanks!@Alexleisandao

Alexleisandao commented 2 years ago

您的邮件我已经收到，谢谢！ 

Alexleisandao commented 2 years ago

I did not fix it,but I finish install light-weight-openpose successfully.Although light-weight-openpose can be run, but it only can meet about 2 fps. So,it can not meet my subject's requirements.  If you fix it,please tell me ,Thank you very much. Do you have WeChat? We can communicate by it!

------------------ 原始邮件 ------------------ 发件人: @.>; 发送时间: 2022年8月26日(星期五) 晚上8:56 收件人: @.>; 抄送: @.>; @.>; 主题: Re: [CMU-Perceptual-Computing-Lab/openpose] Can not running well on Jetson Xavier NX (Issue #2123)

I came across the same issue. Did you fix it? @.***

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274112211 commented 2 years ago

I have fixed it. Through install CUDA10.0 and CUDNN7.3. So，I think the problem is the CUDA10.2 and CUDNN8 version before does not support.

Alexleisandao commented 2 years ago

您的邮件我已经收到，谢谢！ 

fridayhoho commented 2 years ago

I have fixed it. Through install CUDA10.0 and CUDNN7.3. So，I think the problem is the CUDA10.2 and CUDNN8 version before does not support.

downgrade the CUDA version? from CUDA10.2 to CUDA10?

EndlessLoops commented 1 year ago

I have fixed it. Through install CUDA10.0 and CUDNN7.3. So，I think the problem is the CUDA10.2 and CUDNN8 version before does not support.

downgrade the CUDA version? from CUDA10.2 to CUDA10?

Are you fix it ？

Alexleisandao commented 1 year ago

您的邮件我已经收到，谢谢！ 

Alexleisandao commented 1 year ago

yes, I have fixed it on jetson.you can try it by my method! But, I meet similar problem on another computer with Video card A2000. But I have no time to try to fix it on that computer, do you have idea to help me?

------------------ 原始邮件 ------------------ 发件人: @.>; 发送时间: 2023年5月24日(星期三) 上午10:54 收件人: @.>; 抄送: @.>; @.>; 主题: Re: [CMU-Perceptual-Computing-Lab/openpose] Can not running well on Jetson Xavier NX (Issue #2123)

I have fixed it. Through install CUDA10.0 and CUDNN7.3. So，I think the problem is the CUDA10.2 and CUDNN8 version before does not support.

downgrade the CUDA version? from CUDA10.2 to CUDA10?

Are you fix it ？

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you were mentioned.Message ID: @.***>