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https://github.com/blakeblackshear/frigate.git
synced 2024-11-21 19:07:46 +01:00
adjust debugging params and alpha for background averaging
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290150603e
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@ -247,7 +247,8 @@ def main():
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region['motion_detected'],
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objects_changed,
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frame_shape,
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region['size'], region['x_offset'], region['y_offset']))
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region['size'], region['x_offset'], region['y_offset'],
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False))
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detection_process.daemon = True
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detection_processes.append(detection_process)
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@ -381,7 +382,8 @@ def fetch_frames(shared_arr, shared_frame_time, frame_lock, frame_ready, frame_s
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# do the actual object detection
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def process_frames(shared_arr, shared_output_arr, shared_frame_time, frame_lock, frame_ready,
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motion_detected, objects_changed, frame_shape, region_size, region_x_offset, region_y_offset):
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motion_detected, objects_changed, frame_shape, region_size, region_x_offset, region_y_offset,
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debug):
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debug = True
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# shape shared input array into frame for processing
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arr = tonumpyarray(shared_arr).reshape(frame_shape)
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@ -416,7 +418,7 @@ def process_frames(shared_arr, shared_output_arr, shared_frame_time, frame_lock,
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# convert to RGB
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cropped_frame_rgb = cv2.cvtColor(cropped_frame, cv2.COLOR_BGR2RGB)
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# do the object detection
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objects = detect_objects(cropped_frame_rgb, sess, detection_graph, region_size, region_x_offset, region_y_offset, True)
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objects = detect_objects(cropped_frame_rgb, sess, detection_graph, region_size, region_x_offset, region_y_offset, debug)
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# copy the detected objects to the output array, filling the array when needed
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shared_output_arr[:] = objects + [0.0] * (60-len(objects))
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with objects_changed:
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@ -461,7 +463,7 @@ def detect_motion(shared_arr, shared_frame_time, frame_lock, frame_ready, motion
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continue
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# look at the delta from the avg_frame
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cv2.accumulateWeighted(gray, avg_frame, 0.5)
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cv2.accumulateWeighted(gray, avg_frame, 0.01)
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frameDelta = cv2.absdiff(gray, cv2.convertScaleAbs(avg_frame))
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thresh = cv2.threshold(frameDelta, 25, 255, cv2.THRESH_BINARY)[1]
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@ -504,7 +506,7 @@ def detect_motion(shared_arr, shared_frame_time, frame_lock, frame_ready, motion
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else:
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motion_frames = 0
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if debug and motion_frames > 0:
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if debug and motion_frames >= 3:
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cv2.imwrite("/lab/debug/motion-{}-{}-{}.jpg".format(region_x_offset, region_y_offset, datetime.datetime.now().timestamp()), cropped_frame)
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if __name__ == '__main__':
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