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Out of memory while running demo #19
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@vikram-gupta Same for me (but not same graphic card). Did you manage to fix it ? |
@CamilleMaurice not yet ! |
I've reinstalled it from scratch but I still face the same problem. If I find out a solution I'll let you know here. Btw, I am using anaconda2 |
Hi, This is interesting. What is the size of image.png? If it is too big, then unfortunately it won't fit into memory. Cheers, |
The size is 274x512 pixels in the demo. I've tried to resize it to a smaller size, without success. I've already installed deeplearning frameworks using Caffe and Cuda and this is the first time I face this error. I'm not using Debian Wheezy but Ubuntu 16.04 and I am using CUDA 8.0.61 |
Same problem on a 4GB Quadro M2000M. The problem persists whatever the input image size. |
Reading the paper I've also found out the use of 12GB GPU. Next week I might be able to try with 11GB GPU card. I wont have access to more GPU for now so that will be my last test and I'll report here my results. |
Here are some news, I managed to install it and it worked on the : GeForce GTX 1080 Ti 11Go. |
It doesn't work on RTX 2080 Super. I guess it might need a 11GB GPU card like 1080Ti. |
Yes. The need for NVIDIA and CUDA is widespread. You often need them to run pose estimation algorithms. It is the same for OpenPose (you might be insterested). |
Thanks. I used deepcut just because it is part of the MuVS. I just wonder why it requires so much GPU memory... |
I am getting out of memory error while running the demo using the following command. I am using GeForce GTX 1070.
python ./pose_demo.py image.png --out_name=prediction
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