Miscellaneous fixes (#23661)

* update face recognition docs

* clarify

* improve faq grouping

* add faqitem component

* add enable http link for reolinks

* update plus docs

* update autotracking faq

* fix typos
This commit is contained in:
Josh Hawkins
2026-07-10 07:09:15 -06:00
committed by GitHub
parent 20c2be4368
commit f6596ac7b0
22 changed files with 437 additions and 75 deletions
@@ -61,4 +61,4 @@ Now you have to determine which of the bounding boxes in this frame should be ma
Now let's assume that those other 3 cars were already being tracked as stationary objects, so the car driving down the street is a new 4th car. The object tracker knows we have had 3 cars and we now have 4. As the new car approaches the parked cars, the bounding boxes for all 4 cars is predicted based on the previous frames. The predicted boxes for the parked cars is pretty much a 100% overlap with the bounding boxes in the new frame. The parked cars are slam dunk matches to the tracking ids they had before and the only one left is the remaining bounding box which gets assigned to the new car. This results in a much lower error rate. Not perfect, but better.
The most difficult scenario that causes IDs to be assigned incorrectly is when an object completely occludes another object. When a car drives in front of another car and its no longer visible, a bounding box disappeared and it's a bit of a toss up when assigning the id since it's difficult to know which one is in front of the other. This happens for cars passing in front of other cars fairly often. It's something that we want to improve in the future.
The most difficult scenario that causes IDs to be assigned incorrectly is when an object completely occludes another object. When a car drives in front of another car and it's no longer visible, a bounding box disappeared and it's a bit of a toss up when assigning the id since it's difficult to know which one is in front of the other. This happens for cars passing in front of other cars fairly often. It's something that we want to improve in the future.