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backend object speed tracking

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This commit is contained in:
Josh Hawkins 2024-12-07 22:07:20 -06:00
parent d68544bfe6
commit 4e77d09bac
1 changed files with 35 additions and 1 deletions
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36
frigate/track/tracked_object.py
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@ -22,6 +22,7 @@ from frigate.util.image import (
is_better_thumbnail,
)
from frigate.util.object import box_inside
from frigate.util.velocity import calculate_real_world_speed
logger = logging.getLogger(__name__)
@ -58,6 +59,9 @@ class TrackedObject:
self.frame = None
self.active = True
self.pending_loitering = False
self.estimated_speed = 0
self.max_estimated_speed = 0
self.velocity_angle = 0
self.previous = self.to_dict()
@property
@ -129,6 +133,7 @@ class TrackedObject:
"region": obj_data["region"],
"score": obj_data["score"],
"attributes": obj_data["attributes"],
"estimated_speed": self.estimated_speed,
}
thumb_update = True
@ -174,6 +179,26 @@ class TrackedObject:
if 0 < zone_score < zone.inertia:
self.zone_presence[name] = zone_score - 1
# update speed
if zone.distances and name in self.entered_zones:
self.estimated_speed, self.velocity_angle = (
calculate_real_world_speed(
zone.contour,
zone.distances,
self.obj_data["estimate_velocity"],
bottom_center,
self.camera_config.detect.fps,
)
if self.active
else 0
)
logger.debug(
f"Camera: {self.camera_config.name}, zone: {name}, tracked object ID: {self.obj_data['id']}, estimated speed: {self.estimated_speed:.1f}"
)
if self.estimated_speed > self.max_estimated_speed:
self.max_estimated_speed = self.estimated_speed
# update loitering status
self.pending_loitering = in_loitering_zone
@ -255,6 +280,14 @@ class TrackedObject:
"current_attributes": self.obj_data["attributes"],
"pending_loitering": self.pending_loitering,
"max_severity": self.max_severity,
"pixel_velocity": str(
tuple(
np.round(self.obj_data["estimate_velocity"]).flatten().astype(int)
)
),
"estimated_speed": self.estimated_speed,
"max_estimated_speed": self.max_estimated_speed,
"velocity_angle": self.velocity_angle,
}
if include_thumbnail:
@ -339,7 +372,8 @@ class TrackedObject:
box[2],
box[3],
self.obj_data["label"],
f"{int(self.thumbnail_data['score']*100)}% {int(self.thumbnail_data['area'])}",
f"{int(self.thumbnail_data['score']*100)}% {int(self.thumbnail_data['area'])}"
+ (f" {self.estimated_speed:.1f}" if self.estimated_speed != 0 else ""),
thickness=thickness,
color=color,
)