Comments (1)
This outcome is anticipated. The duration of training is calculated based on total iterations. Using a larger batch size results in longer time per iteration, which consequently extends the total training time.
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Related Issues (20)
- Heatmap of predicted bboxes confidence and its IoU score with GTs HOT 5
- Question about the missing ASA in consistent_teacher.py.
- Q&A and clarification HOT 2
- how i can use this in dota datasets HOT 1
- Environmental configuration HOT 4
- ok HOT 18
- Multi card parallel HOT 17
- thanks HOT 2
- This code is the worst HOT 3
- How to match vision of mmdet with mmcv or mmcv-full?
- 关于GMM模块的疑问
- FCOS backbone
- Pretraining weights HOT 4
- training method HOT 12
- 8 * v100 parallel training HOT 3
- TypeError: ConsistentTeacher: __init__() got an unexpected keyword argument 'pretrained'
- AttributeError: ConsistentTeacher: 'NoneType' object has no attribute 'num_scores' HOT 2
- AssertionError: train_cfg specified in both outer field and model field HOT 2
- RuntimeError: DeformConv is not compiled with GPU support
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