Autotracker: Basic zooming and moves with velocity estimation (#7713)

* don't zoom if camera doesn't support it

* basic zooming

* make zooming configurable

* zooming docs

* optional zooming in camera status

* Use absolute instead of relative zooming

* increase edge threshold

* zoom considering object area

* bugfixes

* catch onvif zooming errors

* relative zooming option for dahua/amcrest cams

* docs

* docs

* don't make small movements

* remove old logger statement

* fix small movements

* use enum in config for zooming

* fix formatting

* empty move queue first

* clear tracked object before waiting for stop

* use velocity estimation for movements

* docs updates

* add tests

* typos

* recalc every 50 moves

* adjust zoom based on estimate box if calibrated

* tweaks for fast objects and large movements

* use real time for calibration and add info logging

* docs updates

* remove area scale

* Add example video to docs

* zooming font header size the same as the others

* log an error if a ptz doesn't report a MoveStatus

* debug logging for onvif service capabilities

* ensure camera supports ONVIF MoveStatus
This commit is contained in:
Josh Hawkins
2023-09-27 06:19:10 -05:00
committed by GitHub
parent 64705c065f
commit 27144eb0b9
12 changed files with 741 additions and 78 deletions

View File

@@ -278,9 +278,11 @@ class NorfairTracker(ObjectTracker):
min(self.detect_config.width - 1, estimate[2]),
min(self.detect_config.height - 1, estimate[3]),
)
estimate_velocity = tuple(t.estimate_velocity.flatten().astype(int))
obj = {
**t.last_detection.data,
"estimate": estimate,
"estimate_velocity": estimate_velocity,
}
active_ids.append(t.global_id)
if t.global_id not in self.track_id_map: