Closed kei6 closed 5 years ago
hi Kei, train mask Is used to mask out regions from score map - mostly:
we do not learn on those masked out parts.
úterý 2. července 2019 Kei_Cin notifications@github.com napsal(a):
Dear @MichalBusta https://github.com/MichalBusta, I'm trying to understand the difference between score_map and training_masks, which are generated from: https://github.com/ MichalBusta/E2E-MLT/blob/28583581fb17b6e83bc8dc8c84b6bc 7fb4957341/data_gen.py#L555 Having some questions come in with me:
- Which one is more important to train the model? (I checked and found that score_map always have all ground-truth boxes, but training_masks is not)
- Why do you generate score_map and training_masks? (Because according to my work to understand your works, I think just score_map is enough. Pls help to fix if I have misunderstood, thanks!)
- Why do you just add a box to training_masks if its text contains " ", according to this line of code: https://github.com/ MichalBusta/E2E-MLT/blob/28583581fb17b6e83bc8dc8c84b6bc 7fb4957341/data_gen.py#L478-L496 https://github.com/MichalBusta/E2E-MLT/blob/28583581fb17b6e83bc8dc8c84b6bc7fb4957341/data_gen.py#L478-L496 Hope to hear from you soon, Thanks in advance,
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Thanks for this quick reply! To be clear, the model learns from score_map, doesn't it?
Yes, but only on parts given by train mask.
středa 3. července 2019 Kei_Cin notifications@github.com napsal(a):
Thanks for this quick reply! To be clear, the model learns from score_map, doesn't it?
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Dear @MichalBusta, I'm trying to understand the difference between score_map and training_masks, which are generated from: https://github.com/MichalBusta/E2E-MLT/blob/28583581fb17b6e83bc8dc8c84b6bc7fb4957341/data_gen.py#L555 Having some questions come in with me: