Comments (5)
liyunsheng13
commented on July 19, 2024
I'm sorry. I'm not able to solve out of memory problem. Maybe your GPU doesn't have enough memory. But I think 12Gb is enough.
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Ha0Tang
commented on July 19, 2024
I tested on a Titan X GPU with 12Gb memory.
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liyunsheng13
commented on July 19, 2024
That's very weird to me. Up till now, no one has even reported the out of memory problem when testing the model. 12Gb is very enough. Do you resize the image to 512*1024 with batch size = 1
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Ha0Tang
commented on July 19, 2024
Is there any hyper-parameter need to set for image resolution?
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liyunsheng13
commented on July 19, 2024
The size of the input images have been set in the file of BDL/data/init.py. At least, you should run the evaluation.py code and check the image size you load.
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Related Issues (20)
- Complete training procedure HOT 1
- Train CycleGAN HOT 2
- First Image Transltation HOT 6
- About the implementation HOT 1
- Number of common classes in Synthia dataset HOT 2
- About SYNTHIA to Cityscapes HOT 1
- Bug in the DeepLab ResNet101 atrous convolution forward function HOT 3
- does BDL support for pytorch 1.7 and cuda 10.2? HOT 1
- how to train own custom dataset？ HOT 3
- error at running train.py for cyclegan HOT 2
- Inconsistency fix from CycleGan repository HOT 1
- problem about loss become nan HOT 1
- fineSize (cropSize) for Cycle-Gan HOT 5
- quick question HOT 5
- Issues with reproducing results using pre-trained weights on PyTorch 1.7 and CUDA 11 HOT 4
- About confidence threshold in SSL HOT 2
- Color of pseudolabels HOT 1
- Question about train，thanks
- Initialization of Deeplabv2 HOT 1
- Question about translation model (F)
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