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very well explained
Hey...i have been doing some project and i have some doubts regarding this IoU concept. It would be great if you could help me clarify them.
@Datum Learning how can i know the x and y for each box, how did you know the value of them?
did you take the use case where the the blocks can be separated ?
If there's no overlap, I think you have to get the area intersection like:area_intersection = max(0, xr-xl) * max(0, yr-yl) so the intersection is 0
why y1 < y3 and y2 < y4?
Hello your videos are pretty good . I have a question on YOLO . Does YOLO always return 8 values ???
what do you mean by 8 values?
@@datumlearning6204 They probably saw your old video on YOLO architecture where you used 3 classification classes. So the vector for each unit grid was of 8 values.
how to get IoUs for an image frame with many objects and then find out Tp,FP,FN
Thank you
very well explained
Hey...i have been doing some project and i have some doubts regarding this IoU concept. It would be great if you could help me clarify them.
@Datum Learning how can i know the x and y for each box, how did you know the value of them?
did you take the use case where the the blocks can be separated ?
If there's no overlap, I think you have to get the area intersection like:
area_intersection = max(0, xr-xl) * max(0, yr-yl) so the intersection is 0
why y1 < y3 and y2 < y4?
Hello your videos are pretty good .
I have a question on YOLO . Does YOLO always return 8 values ???
what do you mean by 8 values?
@@datumlearning6204 They probably saw your old video on YOLO architecture where you used 3 classification classes. So the vector for each unit grid was of 8 values.
how to get IoUs for an image frame with many objects and then find out Tp,FP,FN
Thank you