Comments (1)
We have not implemented aug_test
in s2anet
, but support offline multiscale training and testing mode. See #6
from s2anet.
Related Issues (20)
- 使用dota1.5时,container crane的txt文件显示为空 HOT 1
- 训练完的模型大小(290.8MB)与发布的模型大小(160MB)不一致,是什么原因导致的? HOT 1
- 请问一下有没有demo操作的示例? HOT 1
- OSError: work_dirs/epoch_12.pth is not a checkpoint file HOT 3
- 关于对齐卷积 HOT 2
- s2anet支持使用其他分类损失吗?我尝试了eql_loss(用于处理长尾现象),但是训练时,报错如下:如果使用别的损失,需要注意哪些地方吗,希望您可以给出一些建议。 HOT 3
- evaluation during training HOT 3
- compile error HOT 1
- RuntimeError: expected device cuda:1 but got device cuda:0 HOT 2
- 请问一下数据预处理生成的trainval_s2anet.pkl和test_s2anet.pkl包含的是哪些内容? HOT 1
- 关于更换backbone之后mAP输出始终为0 HOT 1
- 计算旋转IOU时的数据格式
- 新手求救! HOT 2
- IndexError: too many indices for array: array is 1-dimensional, but 2 were indexed
- 关于初始学习率的设置
- ModuleNotFoundError: No module named 'DOTA_devkit'
- 请问在训练后如何生成pickle类型的文件呢,谢谢您 HOT 1
- ImportError: cannot import name 'ConvModule' from 'mmcv.cnn'
- Welcome update to OpenMMLab 2.0
- Why use train and validation datasets both for training?
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