Closed senliuy closed 7 years ago
Hi @senliuy, the side-refinement means that for every anchor, which is close to horizontal sides of word bounding boxes, need also regress the relative distance to the word bounding boxes. In other words, these anchors are required to output three values (y_c, h, x_side) instead of two values (y_c, h). Hope it is useful for you.
Thanks, @tianzhi0549 . Now I have finished the code of CTPN.
@senliuy will you plan to release the code?
@dajiangxiaoyan Sorry, the code is for company used currently.
@senliuy Thank you for reply. I also reimplement CTPN. But I have met two problem.
@senliuy Thank you very much. I will try.
@senliuy sorry to bother you again. I do not add side-refinement in my implementation. So i wander if i divide gt boxes directly by equal 16 witdh, the overlap between gt and anchor may be too low. For example:
Then, calc the overlap is very low. do i understand right?
I want to implement side refinement too. Any help on how I should proceed? @senliuy have you implemented the side refinement part?
Hi, TianZhi, I am trying to implement the training phase of CTPN with TensorFlow based on your code and faster-rcnn. However, I don't quietly understand the meaning of side-refinement or offset regression in your paper. The problems is I don't understand the meaning of x{side} in your paper so I can't implement the training loss function. Can you release the code of side-refinement or tell me how to calculate x{side}? It will help me understanding the meaning of your excellent idea. Many thanks!