forked from Github/frigate
add the ability to mask the standing location of a person
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@@ -170,6 +170,13 @@ class Camera:
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# start a thread to publish object scores (currently only person)
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mqtt_publisher = MqttObjectPublisher(self.mqtt_client, self.mqtt_topic_prefix, self.objects_parsed, self.detected_objects)
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mqtt_publisher.start()
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# load in the mask for person detection
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if 'mask' in self.config:
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self.mask = cv2.imread("/config/{}".format(self.config['mask']), cv2.IMREAD_GRAYSCALE)
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else:
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self.mask = np.zeros((self.frame_shape[0], self.frame_shape[1], 1), np.uint8)
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self.mask[:] = 255
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def start(self):
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self.capture_process.start()
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@@ -206,6 +213,15 @@ class Camera:
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# detected person, don't add it to detected objects
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if region and region['min_person_area'] > person_area:
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continue
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# compute the coordinates of the person and make sure
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# the location isnt outide the bounds of the image (can happen from rounding)
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y_location = min(int(obj['ymax']), len(self.mask)-1)
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x_location = min(int((obj['xmax']-obj['xmin'])/2.0), len(self.mask[0])-1)
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# if the person is in a masked location, continue
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if self.mask[y_location][x_location] == [0]:
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continue
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self.detected_objects.append(obj)
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