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add ability to process every nth frame
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@ -13,7 +13,7 @@ from . objects import ObjectCleaner, BestPersonFrame
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from . mqtt import MqttObjectPublisher
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# fetch the frames as fast a possible and store current frame in a shared memory array
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def fetch_frames(shared_arr, shared_frame_time, frame_lock, frame_ready, frame_shape, rtsp_url):
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def fetch_frames(shared_arr, shared_frame_time, frame_lock, frame_ready, frame_shape, rtsp_url, take_frame=1):
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# convert shared memory array into numpy and shape into image array
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arr = tonumpyarray(shared_arr).reshape(frame_shape)
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frame_size = frame_shape[0] * frame_shape[1] * frame_shape[2]
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@ -35,8 +35,12 @@ def fetch_frames(shared_arr, shared_frame_time, frame_lock, frame_ready, frame_s
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pipe = sp.Popen(ffmpeg_cmd, stdout = sp.PIPE, bufsize=frame_size)
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frame_num = 0
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while True:
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raw_image = pipe.stdout.read(frame_size)
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frame_num += 1
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if (frame_num % take_frame) != 0:
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continue
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frame = (
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np
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.frombuffer(raw_image, np.uint8)
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@ -125,6 +129,7 @@ class Camera:
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self.detected_objects = []
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self.recent_frames = {}
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self.rtsp_url = get_rtsp_url(self.config['rtsp'])
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self.take_frame = self.config.get('take_frame', 1)
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self.regions = self.config['regions']
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self.frame_shape = get_frame_shape(self.rtsp_url)
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self.mqtt_client = mqtt_client
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@ -205,7 +210,8 @@ class Camera:
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# create the process to capture frames from the RTSP stream and store in a shared array
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print("Creating a new capture process...")
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self.capture_process = mp.Process(target=fetch_frames, args=(self.shared_frame_array,
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self.shared_frame_time, self.frame_lock, self.frame_ready, self.frame_shape, self.rtsp_url))
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self.shared_frame_time, self.frame_lock, self.frame_ready, self.frame_shape,
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self.rtsp_url, self.take_frame))
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self.capture_process.daemon = True
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print("Starting a new capture process...")
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self.capture_process.start()
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