Closed btminh1820 closed 2 years ago
For example from my text boundary annotation:
@MhLiao
Hey @btminh1820
the bbox formation always takes in the post-processing step.
You can go to structures -> representers -> seg_detector_representer.py
and search for unclip_ratio
and you can adjust the ratio there. The higher the ratio, the boxes will have more area comparatively
@suhas004 Thanks for the greate advice!
@btminh1820 Please say how did you annotate your custom dataset?
I am transfer learning DB using my own custom dataset. However, the preannotations of the text instance boxes are not quite close to the text instance itself. I was wondering if it could affect the overall performance of DB?