You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hello. Thanks for you work.
Could the project be adjusted for multi object selection?
By multi object selection I mean a case when we set clicks not only as foreground and background but clicks for object1, object2 and so on and to get a segmentations for the objects as a result.
Most important factor is to segment N objects in one network pass cause I can have a large number of objects and sequential passes for every object in image may result in a big time delay.
If multi object segmentation is not possible in your current implementation then:
is that possible to train your model for that purpose or the architecture cannot solve the case problem?
probable you can be acknowledged about network/project which solves my use case? if so could you share the info?
Thanks again.
The text was updated successfully, but these errors were encountered:
Hello. Yes, it is possible to adapt the code to enable one-pass multi object selection. But it is not very simple and requires rewriting some code.
You should modify the model so that it takes BS x N x P x 2 points (N objects, P is a maximum number of positive/negative points) or BS x N x 2 disk maps. Currently it takes BS x P x 2 points or BS x 2 disk maps for each sample in a batch. To train this model you need to choose N objects for each sample in a batch and replace the NFL loss function with Softmax+CE or use N separate NFL losses for each object (one-vs.-rest strategy).
Hello. Thanks for you work.
Could the project be adjusted for multi object selection?
By multi object selection I mean a case when we set clicks not only as foreground and background but clicks for object1, object2 and so on and to get a segmentations for the objects as a result.
Most important factor is to segment N objects in one network pass cause I can have a large number of objects and sequential passes for every object in image may result in a big time delay.
If multi object segmentation is not possible in your current implementation then:
Thanks again.
The text was updated successfully, but these errors were encountered: