forked from Github/frigate
avoid extra tracking work on stationary frames
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@@ -103,6 +103,10 @@ class ObjectTracker:
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self.tracked_objects[id]["position_changes"] += 1
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self.tracked_objects[id]["position_changes"] += 1
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self.tracked_objects[id].update(new_obj)
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self.tracked_objects[id].update(new_obj)
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def update_frame_times(self, frame_time):
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for id in self.tracked_objects.keys():
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self.tracked_objects[id]["frame_time"] = frame_time
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def match_and_update(self, frame_time, new_objects):
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def match_and_update(self, frame_time, new_objects):
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# group by name
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# group by name
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new_object_groups = defaultdict(lambda: [])
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new_object_groups = defaultdict(lambda: [])
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@@ -584,6 +584,7 @@ def process_frames(
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for obj in object_tracker.tracked_objects.values()
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for obj in object_tracker.tracked_objects.values()
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if obj["id"] in stationary_object_ids
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if obj["id"] in stationary_object_ids
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]
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]
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for region in regions:
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for region in regions:
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detections.extend(
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detections.extend(
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detect(
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detect(
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@@ -599,7 +600,7 @@ def process_frames(
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#########
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#########
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# merge objects, check for clipped objects and look again up to 4 times
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# merge objects, check for clipped objects and look again up to 4 times
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#########
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#########
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refining = True
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refining = len(regions) > 0
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refine_count = 0
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refine_count = 0
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while refining and refine_count < 4:
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while refining and refine_count < 4:
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refining = False
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refining = False
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@@ -654,6 +655,9 @@ def process_frames(
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## drop detections that overlap too much
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## drop detections that overlap too much
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consolidated_detections = []
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consolidated_detections = []
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# if detection was run on this frame, consolidate
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if len(regions) > 0:
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# group by name
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# group by name
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detected_object_groups = defaultdict(lambda: [])
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detected_object_groups = defaultdict(lambda: [])
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for detection in detections:
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for detection in detections:
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@@ -689,9 +693,11 @@ def process_frames(
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consolidated_detections.append(
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consolidated_detections.append(
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sorted_by_area[current_detection_idx]
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sorted_by_area[current_detection_idx]
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)
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)
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# now that we have refined our detections, we need to track objects
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# now that we have refined our detections, we need to track objects
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object_tracker.match_and_update(frame_time, consolidated_detections)
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object_tracker.match_and_update(frame_time, consolidated_detections)
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# else, just update the frame times for the stationary objects
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else:
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object_tracker.update_frame_times(frame_time)
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# add to the queue if not full
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# add to the queue if not full
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if detected_objects_queue.full():
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if detected_objects_queue.full():
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