Comments (6)
I too have the same issue, Please let me know asap
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When you get the out-of-memory error, what model were you testing?
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@qizhuli I get out of memory error for pspnet101_cityscapes.caffemodel, the other two models run without getting crashed, but the results show images with 11 in every pixel.
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I am successfully able to run with out cudNN and get the results using ADEK and VOC2012 trained models. But while using cityscapes trained model, MATLAB crashes. Is there anything to be changed in the code, or is it the trained model that is affecting this case. Please let me know how do I solve this case.
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@uu-ujwalkumar06 because cityscapes model has a larger input image size as compared to the VOC2012 model, your 8GB GPU memory is not enough for evaluating it.
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@uu-ujwalkumar06 @qizhuli Hi, can I ask if you managed to solve the issue of out of memory for CityScapes dataset evaluation?
I currently have 2 x GTX 1080 8GB am I am facing out of memory issue. Each running 250 data each.
Would appreciate if you could enlighten me on this, thank you!!! (Maybe how I could reduce the size of data would be good too.)
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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
- Evaluation code
- 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')
- Problem with evaluation
- math_functions.cu:375 [Check failed: status== CURAND_STATUS_SUCCESS (201 VS. 0) CURAND_STATUS_LAUNCH_FAILURE]
- TBD
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