Comments (3)
mariolew
commented on May 29, 2024
1
I already use 256x192
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Annbless
commented on May 29, 2024
Hi,
ViTPose has a smaller training memory than HRNet-w48 when inputting 256x192 images. Perhaps you could try resizing the input images for your own data to alleviate the training memory problem.
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KeyKy
commented on May 29, 2024
I also get out of memory on V100 with batchsize64;
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Related Issues (20)
- Please install mmdet to run the demo. HOT 1
- how to use ViTPose+ in MMPose HOT 1
- The checkpoints of "whole body" are wrong. HOT 5
- Train on custom dataset - number of keypoints HOT 1
- memory usage
- To those who just want to easily inference an image
- Can't run the single machine experiment HOT 2
- Wonder how to run the demo with cuda 11.8
- MS COCO VitPose-S simple config file issue
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- Support for Selective Person Tracking in Multi-Person Videos
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- Issue about the padding when building the PatchEmbedding layer HOT 1
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- Question about parameter "max_num_joints" HOT 1
- Inconsistency in Reported Experimental Results for ViTPose and ViTPose++ Across Papers HOT 2
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