forked from Github/frigate
track and report all detected object types
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@@ -2,6 +2,7 @@ import time
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import datetime
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import threading
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import cv2
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import numpy as np
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from . util import draw_box_with_label
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class ObjectCleaner(threading.Thread):
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@@ -35,16 +36,15 @@ class ObjectCleaner(threading.Thread):
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self._objects_parsed.notify_all()
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# Maintains the frame and person with the highest score from the most recent
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# motion event
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class BestPersonFrame(threading.Thread):
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# Maintains the frame and object with the highest score
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class BestFrames(threading.Thread):
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def __init__(self, objects_parsed, recent_frames, detected_objects):
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threading.Thread.__init__(self)
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self.objects_parsed = objects_parsed
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self.recent_frames = recent_frames
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self.detected_objects = detected_objects
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self.best_person = None
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self.best_frame = None
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self.best_objects = {}
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self.best_frames = {}
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def run(self):
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while True:
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@@ -55,38 +55,30 @@ class BestPersonFrame(threading.Thread):
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# make a copy of detected objects
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detected_objects = self.detected_objects.copy()
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detected_people = [obj for obj in detected_objects if obj['name'] == 'person']
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# get the highest scoring person
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new_best_person = max(detected_people, key=lambda x:x['score'], default=self.best_person)
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# if there isnt a person, continue
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if new_best_person is None:
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continue
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# if there is no current best_person
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if self.best_person is None:
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self.best_person = new_best_person
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# if there is already a best_person
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else:
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now = datetime.datetime.now().timestamp()
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# if the new best person is a higher score than the current best person
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# or the current person is more than 1 minute old, use the new best person
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if new_best_person['score'] > self.best_person['score'] or (now - self.best_person['frame_time']) > 60:
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self.best_person = new_best_person
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for obj in detected_objects:
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if obj['name'] in self.best_objects:
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now = datetime.datetime.now().timestamp()
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# if the object is a higher score than the current best score
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# or the current object is more than 1 minute old, use the new object
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if obj['score'] > self.best_objects[obj['name']]['score'] or (now - self.best_objects[obj['name']]['frame_time']) > 60:
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self.best_objects[obj['name']] = obj
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else:
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self.best_objects[obj['name']] = obj
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# make a copy of the recent frames
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recent_frames = self.recent_frames.copy()
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if not self.best_person is None and self.best_person['frame_time'] in recent_frames:
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best_frame = recent_frames[self.best_person['frame_time']]
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label = "{}: {}% {}".format(self.best_person['name'],int(self.best_person['score']*100),int(self.best_person['area']))
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draw_box_with_label(best_frame, self.best_person['xmin'], self.best_person['ymin'],
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self.best_person['xmax'], self.best_person['ymax'], label)
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# print a timestamp
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time_to_show = datetime.datetime.fromtimestamp(self.best_person['frame_time']).strftime("%m/%d/%Y %H:%M:%S")
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cv2.putText(best_frame, time_to_show, (10, 30), cv2.FONT_HERSHEY_SIMPLEX, fontScale=.8, color=(255, 255, 255), thickness=2)
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self.best_frame = cv2.cvtColor(best_frame, cv2.COLOR_RGB2BGR)
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for name, obj in self.best_objects.items():
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if obj['frame_time'] in recent_frames:
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best_frame = recent_frames[obj['frame_time']] #, np.zeros((720,1280,3), np.uint8))
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label = "{}: {}% {}".format(name,int(obj['score']*100),int(obj['area']))
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draw_box_with_label(best_frame, obj['xmin'], obj['ymin'],
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obj['xmax'], obj['ymax'], label)
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# print a timestamp
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time_to_show = datetime.datetime.fromtimestamp(obj['frame_time']).strftime("%m/%d/%Y %H:%M:%S")
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cv2.putText(best_frame, time_to_show, (10, 30), cv2.FONT_HERSHEY_SIMPLEX, fontScale=.8, color=(255, 255, 255), thickness=2)
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self.best_frames[name] = cv2.cvtColor(best_frame, cv2.COLOR_RGB2BGR)
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