Comments (5)
你把代码回滚到第一版本试试看 @liugaolian
from retinanet_tensorflow_rotation.
能否看一下你的cfgs.py @liugaolian
from retinanet_tensorflow_rotation.
我会更新一下代码 @liugaolian
from retinanet_tensorflow_rotation.
代码已更新,建议先跑通一个默认的配置文件 @liugaolian
from retinanet_tensorflow_rotation.
When I train with my own data, the loss values often appear at 0.000 and Nan. It's strange that with the same data, it's okay to train the R2CNN you share.
same problems, how to deal with it?
from retinanet_tensorflow_rotation.
Related Issues (20)
- 这个模型可以训练水平框的任务吗? HOT 1
- Do I need to design how to calulate Map?
- 测试的时候速度很低
- 您好,如果我想要用DOTA进行训练和测试,我需要做哪些改变呢? HOT 2
- 怎么制作DOTA格式的数据集?how to make costom dataset in format of DOTA? HOT 4
- 请问论文中的Feature Refinement Module部分是如何在代码中实现的? HOT 2
- 采用配置文件cfgs_res50_dota_v5(即v1 + iou-smooth l1 loss)cls loss始终在1-1.2之间,reg loss 出现nan HOT 1
- Test with trained network but return null detection results HOT 6
- IndexError:index 10 is out of bounds for axis 1 with size 10 HOT 2
- 使用cfgs_resnet50_dota_v4和cfgs_resnet50_dota_v1失函数一直震荡,
- 训练错误,self._traceback = tf_stack.extract_stack(),加载预训练模型错误 HOT 1
- 测试的标准问题 HOT 2
- How to decide CLASS_NUM when training on my own dataset? HOT 2
- FPN中RoI Pooling层的公式疑惑
- How to calculate mAP when training on DOTA dataset? Should I write the code myself?
- 请问iou_rotate.py里面的这个利用gpu计算iou的rbbx_overlaps是否限制只能输入tensorflow的tensor?
- cuda报错 HOT 2
- Gradient about IOU-Smooth L1 loss
- 训练速度过慢 HOT 5
- GPU计算RIOU HOT 9
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from retinanet_tensorflow_rotation.