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

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* 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
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40
frigate/test/test_config.py
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@@ -1536,6 +1536,46 @@ class TestConfig(unittest.TestCase):
assert runtime_config.cameras["back"].objects.filters["dog"].min_ratio == 0.2
assert runtime_config.cameras["back"].objects.filters["dog"].max_ratio == 10.1
def test_valid_movement_weights(self):
config = {
"mqtt": {"host": "mqtt"},
"cameras": {
"back": {
"ffmpeg": {
"inputs": [
{"path": "rtsp://10.0.0.1:554/video", "roles": ["detect"]}
]
},
"onvif": {"autotracking": {"movement_weights": "1.23, 2.34, 0.50"}},
}
},
}
frigate_config = FrigateConfig(**config)
runtime_config = frigate_config.runtime_config()
assert runtime_config.cameras["back"].onvif.autotracking.movement_weights == [
1.23,
2.34,
0.50,
]
def test_fails_invalid_movement_weights(self):
config = {
"mqtt": {"host": "mqtt"},
"cameras": {
"back": {
"ffmpeg": {
"inputs": [
{"path": "rtsp://10.0.0.1:554/video", "roles": ["detect"]}
]
},
"onvif": {"autotracking": {"movement_weights": "1.234, 2.345a"}},
}
},
}
self.assertRaises(ValueError, lambda: FrigateConfig(**config))
if __name__ == "__main__":
unittest.main(verbosity=2)