Comments (10)
@SAM-DEV007 done
from thereforyou.
I am a contributor from GSSoC'24. Please assign me the issue.
Proposed approach:
- Train an object detection model to detect looped ropes, and differentiate it from the normal ropes.
- Apply the above model with face and hand detection models and get their bounding boxes.
- Check for the overlapping boxes between the three for any similar region.
- Check for a person's head and the looped rope, and compare the Y-axis of the bounding boxes (bboxes).
- Then, check for a hand to be in the region of the rope.
If the above two conditions are met, the output will be danger
. If the no. 1 condition is satisfied for a potential entanglement, the output will be warn
. Morever, if the bboxes of the face and the rope coincides, the output will be critical danger
.
It is assumed that OpenCV will be used for video capture.
from thereforyou.
@SAM-DEV007 I have assigned this issue to you
from thereforyou.
@TAHIR0110 Thanks. I'll start working on it.
from thereforyou.
Please assign me this issue GSSoC'24.
from thereforyou.
@TAHIR0110 A pull request has been created with all the details including pros and cons.
from thereforyou.
@SAM-DEV007 good work I have merged your pull request
from thereforyou.
@TAHIR0110 Thanks. A small request, can you also add gssoc
label?
from thereforyou.
@TAHIR0110 I request you to reassign me the issue as upon discussion with GSSoC team, they told me that unassigning may result in not counting in the leaderboard.
from thereforyou.
Hey @TAHIR0110 , this issue has been assigned so long ago and I see no progress in it. I would like to work on this issue, Could you please assign it to me.
from thereforyou.
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from thereforyou.