forked from Github/frigate
fixing a few things
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@@ -133,9 +133,6 @@ class DetectedObjectsProcessor(threading.Thread):
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# print(f"{frame['frame_time']} no remaining regions")
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self.camera.finished_frame_queue.put(frame['frame_time'])
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with self.camera.objects_parsed:
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self.camera.objects_parsed.notify_all()
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# Thread that checks finished frames for clipped objects and sends back
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# for processing if needed
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class RegionRefiner(threading.Thread):
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@@ -166,7 +163,7 @@ class RegionRefiner(threading.Thread):
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self.camera.detected_objects[frame_time] = [obj for obj in self.camera.detected_objects[frame_time] if obj['clipped'] == False]
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# print(f"{frame_time} found {len(object_groups)} groups")
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clipped_object = False
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look_again = False
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# find the largest unclipped object in each group
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for group in object_groups:
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unclipped_objects = [obj for obj in group if obj['clipped'] == False]
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@@ -198,10 +195,12 @@ class RegionRefiner(threading.Thread):
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'y_offset': y_offset
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})
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self.camera.dynamic_region_fps.update()
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clipped_object = True
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look_again = True
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# TODO: zoom in on unclipped low confidence objects
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# else: ...
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# if we found a clipped object, then this frame is not ready for processing
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if clipped_object:
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# if we are looking again, then this frame is not ready for processing
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if look_again:
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continue
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# dedupe the unclipped objects
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@@ -220,14 +219,19 @@ class RegionRefiner(threading.Thread):
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else:
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if deduped_objects[duplicate]['score'] < obj['score']:
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deduped_objects[duplicate] = obj
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self.camera.detected_objects[frame_time] = deduped_objects
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with self.camera.objects_parsed:
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self.camera.objects_parsed.notify_all()
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# print(f"{frame_time} is actually finished")
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# keep adding frames to the refined queue as long as they are finished
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with self.camera.regions_in_process_lock:
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while self.camera.frame_queue.qsize() > 0 and self.camera.frame_queue.queue[0] not in self.camera.regions_in_process:
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self.camera.refined_frame_queue.put(self.camera.frame_queue.get())
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self.camera.last_processed_frame = self.camera.frame_queue.get()
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self.camera.refined_frame_queue.put(self.camera.last_processed_frame)
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def has_overlap(self, new_obj, obj, overlap=.7):
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# compute intersection rectangle with existing object and new objects region
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@@ -265,9 +269,9 @@ class ObjectTracker(threading.Thread):
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while True:
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# TODO: track objects
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frame_time = self.camera.refined_frame_queue.get()
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f = open(f"/debug/{str(frame_time)}.jpg", 'wb')
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f.write(self.camera.frame_with_objects(frame_time))
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f.close()
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# f = open(f"/debug/{str(frame_time)}.jpg", 'wb')
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# f.write(self.camera.frame_with_objects(frame_time))
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# f.close()
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def register(self, index, obj):
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