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This issue is not a question, bug report, or anything other than a feature request directly related to this project.
Proposal
The "common" way to detect the distance to small objects is to run the object detection on RGB, apply the detection to the depth and then filter it in some way (averaging/median/whatever).
Is there the way to calculate distance to the middle/top/bottom of the object only? Without using the Depth Map?
Use-Case
First of all, it will give us better results on small objects, it's much simpler to find registration between two objects (the same object from different cameras) instead of pixel calculation.
In addition, maybe it can be more calculage-efficient to calculate the distances to the objects of interest instead of whole frame?
Anything else?
No response
The text was updated successfully, but these errors were encountered:
Hi,
if you don't want to use the depth data you can compute the 3D position of the object if you have its 2D position within the left and right image, then use the stereo model to compute its 3D position.
Preliminary Checks
Proposal
The "common" way to detect the distance to small objects is to run the object detection on RGB, apply the detection to the depth and then filter it in some way (averaging/median/whatever).
Is there the way to calculate distance to the middle/top/bottom of the object only? Without using the Depth Map?
Use-Case
First of all, it will give us better results on small objects, it's much simpler to find registration between two objects (the same object from different cameras) instead of pixel calculation.
In addition, maybe it can be more calculage-efficient to calculate the distances to the objects of interest instead of whole frame?
Anything else?
No response
The text was updated successfully, but these errors were encountered: