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Thanks for your amazing Gr_ConvNet, it's simple but so powerful!
We want to implement Gr_ConvNet on our own dataset. In our dataset, there are plenty of oeverlapped grasp rects, their grasp pose are almost the same, but their grasp angle are different (Imagine you have a can, when grasp from the top, the grasp angle can vary between 0-360).
In Gr_ConvNet, when draw the grasp rect, only one angle will be draw. Is it necessary to keep all the grasp angles information about will this affect?
Sincerely thanks for your advice!
Regards
The text was updated successfully, but these errors were encountered:
Hi,
Thanks for your amazing Gr_ConvNet, it's simple but so powerful!
We want to implement Gr_ConvNet on our own dataset. In our dataset, there are plenty of oeverlapped grasp rects, their grasp pose are almost the same, but their grasp angle are different (Imagine you have a can, when grasp from the top, the grasp angle can vary between 0-360).
In Gr_ConvNet, when draw the grasp rect, only one angle will be draw. Is it necessary to keep all the grasp angles information about will this affect?
Sincerely thanks for your advice!
Regards
The text was updated successfully, but these errors were encountered: