Comments (5)
balloch
commented on July 25, 2024
This will likely not work. On my GTX1060 6GB for my personal computer it was hitting around 4GB max just for eval (with Ubuntu OS w/ lightdm running). This probably could be reduced if you got into the code or ran headless...
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An-Pan
commented on July 25, 2024
I have run the code completely using 1080TI
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pewpewpeww
commented on July 25, 2024
@An-Pan what is your memory size?
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SMMohammadi
commented on July 25, 2024
Dear friends,
I could run the entire code successfully under following conditions,
RAM: 4GB
Graphics: GeForce GT730 / 4GB memory (3813 MB)
OS: Linux Ubuntu 14.04 64_bit
MATLAB: v R2014a
CUDA: v 7.0.27
and the results are awesome!
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pewpewpeww
commented on July 25, 2024
@SMMohammadi which dataset did you run it on?
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Related Issues (20)
- PASCAL VOC 2012
- Questions about PSPNet. HOT 6
- small size
- Reason to have a fixed inference size (473x473) HOT 1
- 请问下怎么将BVLC/caffe下的bn转换到BN？
- question about pooling layer
- Make Runtest Error HOT 2
- Invalid MEX-file '/media/sgp1053c/DATA/PSPNET-cudnn5/matlab/+caffe/private/caffe_.mexa64
- Make Error
- model performance
- C++ Prediction/Segmentation Code for PSPNet
- Could you provide the prototxt file for training PSPNet?
- [FIXED] Why are scale_factors used to scale pixel values? HOT 1
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- OSX hdf5 make error HOT 1
- Hi, GPU GTX 1070 8G memory is not enough? HOT 1
- compile using cmake failed! (undefined reference to `pthread_create')
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- math_functions.cu:375 [Check failed: status== CURAND_STATUS_SUCCESS (201 VS. 0) CURAND_STATUS_LAUNCH_FAILURE]
- TBD
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