Comments (2)
Thank you for your interest in my work.
Unfortunately, the CPU version is not available currently.
I just make a CPU mode to implement in the future.
Actually, there is some trick to run this code by reducing the batch_size.
Please could you try this?
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Yes, I tried to decrease the 'batch_test' from 256 to 2.However, still shows CUDA error: out of memory. My GPU is GTX1050.
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Related Issues (20)
- About receptive_field HOT 2
- about extra_pos_feats and pos_feats HOT 1
- AttributeError:module 'roi_align._ext.roi_align' has no attribute 'roi_align_forward_cuda
- any plan to support PyTorch1.0 HOT 9
- about the randomness HOT 1
- only give first frame groundtruth HOT 1
- the GPU memory HOT 2
- Error during code execution HOT 2
- About the Training loss
- OTB2015 experimental results HOT 1
- Can not display? HOT 1
- samples2maskroi HOT 2
- Data process on sequences Tiger1?
- run script not working
- global name cur_triplet_loss is not defined
- about data pre-prepare HOT 1
- no use of 'frame_interval'
- About feature size
- License
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