Comments (2)
都是对trainval进行训练,然后在DOTA的网站上提交txt得到的mAP结果
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哦哦,知道了,谢谢老哥。还有一个疑问,自己想了半天也没明白,网上也找不到:FPN网络里在RoI Pooling层的部分是将不同的RoI分配给金字塔的不同层,分配的公式使用的是FPN论文里的:levels = tf.round(4. + tf.log(tf.sqrt(w*h + 1e-8)/224.0) / tf.log(2.))
。这里的224是标准ImageNet训练前的图片大小。所以我的疑问是咱们在训练自己的数据集时,比如我的输入图片大小是800×800,为啥这个公式里还是用的224而不是800呢?这个是跟ResNets用ImageNet预训练出来的有关系吗?有点懵,望老哥指点一二抱拳了
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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
- 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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