Comments (2)
bingykang
commented on July 1, 2024
2
Actually, the data split for coco is also released in folder "data". Just change the dataset config and number of classes, everything should be good.
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zb1439
commented on July 1, 2024
1
Hi, we have tried to fix current implementation to adapt to coco dataset, with much more than we expected to modify though. We are using 4 Titan XP to reproduce results on COCO, however we face severe out of memory problem. Could you tell us what is your configuration for both batch size and subdivision? Thanks.
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Related Issues (20)
- 能否共享一下t-SNE的代码?并分享一下如何使用。感谢
- Which version of cuda is needed
- RuntimeError: The size of tensor a (3) must match the size of tensor b (864) at non-singleton dimension 3 HOT 5
- Strange Code in Dataset.py
- Strange about the meta-learning?
- few-shot training issues
- TypeError: conv2d() received an invalid combination of arguments HOT 6
- map all get 0 HOT 5
- Question about the paper
- Request for learnet module
- Inconsistencies in COCO splits HOT 1
- How long does the training step take? HOT 1
- TypeError: conv2d() received an invalid combination of arguments HOT 1
- ValueError: Expected input batch_size (20) to match target batch_size (8).
- ???
- How to duplicate the results?
- TypeError: only integer tensors of a single element can be converted to an index
- AttributeError："Easydict" object has no attribute "data"
- 模型训练完成后，推理时间只有3ms，但是box filter却有上百毫秒，请问是为什么呢。 HOT 5
- expected tensor [64 x 32 x 3 x 3] and src [1776] to have the same number of elements, but got 18432 and 1776 elements respectively HOT 1
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