Panxjia
Panxjia
@JrPeng Hi, any progress about training the model with BN-backbone and gn-FPN/heads without using PA-structure ? Thanks!
Sorry for the late reply. We set the conf_thresh to 0.05.
Sorry for the late reply. I have reported the problem in an earlier issue. We also encountered the problem because of the incomplete data provided by the SKU110K author. However,...
我们是在CenterNet基础上添加了一个预测角度的分支作为baseline, 通过hm, angle, size和offset 得到obb 的结果。添加angle 分支与size分支几乎一样,loss 为L1loss, 权值为0.1。训练的数据集请参考文章描述。
@sunpeng96 Thanks for your interest in our work. The training time(epoch) before and after adding the FSM is the same. The baseline method is also trained for 140 epochs. We...
Just one 3x3 Conv layer. The output channel is determined by the size of the kernel you want. To reduce the amount of parameters, we share the kernel weight among...
Actually, we use both of them.
十分感谢关注我们的工作。由于我的偷懒没有把所有代码整理好,十分抱歉。 目前就把最核心的开源了,可以当做插件来用。 后续会继续做好其他的开源工作。
Please refer to [here](https://github.com/Anymake/DRN_CVPR2020/blob/6d5c75895d75601ec92cece3cda516c43abe032a/rotation%20conv%20layer/rotation_conv_utils.py#L189) for FSM. The structure of DRHs is simple, we do not release the code. Please refer to [ issue #20](https://github.com/Anymake/DRN_CVPR2020/issues/20)
Thanks for your attention. W have recently made new progress on rotation convolution and all the energy is spent on it. To make it convenient, we plan to release the...