mirror of
https://github.com/blakeblackshear/frigate.git
synced 2024-10-15 20:07:23 +02:00
c653567cc1
* Add object size to the bounding box Remove script from Dockerfile Fix framerate command Move default value for framerate update dockerfile dockerfile changes Add person_area label to surrounding box Update dockerfile ffmpeg config bug Add `person_area` label to `best_person` frame Resolve debug view showing area label for non-persons Add object size to the bounding box Add object size to the bounding box * Move object area outside of conditional to work with all object types
89 lines
3.5 KiB
Python
89 lines
3.5 KiB
Python
import time
|
|
import datetime
|
|
import threading
|
|
import cv2
|
|
from . util import draw_box_with_label
|
|
|
|
class ObjectCleaner(threading.Thread):
|
|
def __init__(self, objects_parsed, detected_objects):
|
|
threading.Thread.__init__(self)
|
|
self._objects_parsed = objects_parsed
|
|
self._detected_objects = detected_objects
|
|
|
|
def run(self):
|
|
while True:
|
|
|
|
# wait a bit before checking for expired frames
|
|
time.sleep(0.2)
|
|
|
|
# expire the objects that are more than 1 second old
|
|
now = datetime.datetime.now().timestamp()
|
|
# look for the first object found within the last second
|
|
# (newest objects are appended to the end)
|
|
detected_objects = self._detected_objects.copy()
|
|
|
|
num_to_delete = 0
|
|
for obj in detected_objects:
|
|
if now-obj['frame_time']<2:
|
|
break
|
|
num_to_delete += 1
|
|
if num_to_delete > 0:
|
|
del self._detected_objects[:num_to_delete]
|
|
|
|
# notify that parsed objects were changed
|
|
with self._objects_parsed:
|
|
self._objects_parsed.notify_all()
|
|
|
|
|
|
# Maintains the frame and person with the highest score from the most recent
|
|
# motion event
|
|
class BestPersonFrame(threading.Thread):
|
|
def __init__(self, objects_parsed, recent_frames, detected_objects):
|
|
threading.Thread.__init__(self)
|
|
self.objects_parsed = objects_parsed
|
|
self.recent_frames = recent_frames
|
|
self.detected_objects = detected_objects
|
|
self.best_person = None
|
|
self.best_frame = None
|
|
|
|
def run(self):
|
|
while True:
|
|
|
|
# wait until objects have been parsed
|
|
with self.objects_parsed:
|
|
self.objects_parsed.wait()
|
|
|
|
# make a copy of detected objects
|
|
detected_objects = self.detected_objects.copy()
|
|
detected_people = [obj for obj in detected_objects if obj['name'] == 'person']
|
|
|
|
# get the highest scoring person
|
|
new_best_person = max(detected_people, key=lambda x:x['score'], default=self.best_person)
|
|
|
|
# if there isnt a person, continue
|
|
if new_best_person is None:
|
|
continue
|
|
|
|
# if there is no current best_person
|
|
if self.best_person is None:
|
|
self.best_person = new_best_person
|
|
# if there is already a best_person
|
|
else:
|
|
now = datetime.datetime.now().timestamp()
|
|
# if the new best person is a higher score than the current best person
|
|
# or the current person is more than 1 minute old, use the new best person
|
|
if new_best_person['score'] > self.best_person['score'] or (now - self.best_person['frame_time']) > 60:
|
|
self.best_person = new_best_person
|
|
|
|
# make a copy of the recent frames
|
|
recent_frames = self.recent_frames.copy()
|
|
|
|
if not self.best_person is None and self.best_person['frame_time'] in recent_frames:
|
|
best_frame = recent_frames[self.best_person['frame_time']]
|
|
|
|
label = "{}: {}% {}".format(self.best_person['name'],int(self.best_person['score']*100),int(self.best_person['area']))
|
|
draw_box_with_label(best_frame, self.best_person['xmin'], self.best_person['ymin'],
|
|
self.best_person['xmax'], self.best_person['ymax'], label)
|
|
|
|
self.best_frame = cv2.cvtColor(best_frame, cv2.COLOR_RGB2BGR)
|