Comments (4)
Noted. Thank you for the suggestions .
I will close this for now.
from ros_openpose.
I am sorry to hear that you face out of memory issue. Believe me it is a very common problem and we can make it work by some workarounds.
Below are some advises I have for you:
- Please read Point Number 2 of FAQ.
- Try lowering
--net_resolution
parameter. Please read Point Number 2 of Configuration.
Let me know if the problem persists.
Cheers!
from ros_openpose.
Hi @ravijo ,
Yes, I tried adding the --net_resolution -1x128
into the parameter and it works now. However, I found out that the CPU usage is running at 100%.Increase the sleep time would decrease the CPU usage but is it partly because I did not compile with CuDNN?
( the openpose failed to work with CuDNN enable in my case )
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Yes, I tried adding the
--net_resolution -1x128
into the parameter and it works now.
Glad to hear from you. 👍
However, I found out that the CPU usage is running at 100%.Increase the sleep time would decrease the CPU usage but is it partly because I did not compile with CuDNN?
Yes, CuDNN (+ CUDA) gives speed to OpenPose inference procedure. You are seeing 100% CPU usages because OpenPose is using CPU. Sleep time will not affect your speed so much in this case.
As per my experience with OpenPose, it is tricky to install the Caffe framework. Caffe is very specific to versions of CUDA and CuDNN as well. Can you please check OpenPose or Caffe forum in this regard?
Once you have a successful installation of Caffe, OpenPose should be quick to install.
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