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make timestamp on snapshots configurable (fixes #88)
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@ -105,6 +105,12 @@ cameras:
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################
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# watchdog_timeout: 300
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################
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# Configuration for the snapshot sent over mqtt
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################
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snapshots:
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show_timestamp: True
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################
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# Camera level object config. This config is merged with the global config above.
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################
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@ -88,10 +88,12 @@ class DetectedObjectsProcessor(threading.Thread):
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obj['clipped'] = True
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# Compute the area
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# TODO: +1 right?
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obj['area'] = (obj['box']['xmax']-obj['box']['xmin'])*(obj['box']['ymax']-obj['box']['ymin'])
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self.camera.detected_objects[frame['frame_time']].append(obj)
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# TODO: use in_process and processed counts instead to avoid lock
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with self.camera.regions_in_process_lock:
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if frame['frame_time'] in self.camera.regions_in_process:
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self.camera.regions_in_process[frame['frame_time']] -= 1
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@ -106,6 +108,10 @@ class DetectedObjectsProcessor(threading.Thread):
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# Thread that checks finished frames for clipped objects and sends back
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# for processing if needed
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# TODO: evaluate whether or not i really need separate threads/queues for each step
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# given that only 1 thread will really be able to run at a time. you need a
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# separate process to actually do things in parallel for when you are CPU bound.
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# threads are good when you are waiting and could be processing while you wait
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class RegionRefiner(threading.Thread):
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def __init__(self, camera):
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threading.Thread.__init__(self)
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@ -363,6 +369,9 @@ class ObjectTracker(threading.Thread):
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# than the number of existing object centroids we need to
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# register each new input centroid as a trackable object
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# if D.shape[0] < D.shape[1]:
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# TODO: rather than assuming these are new objects, we could
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# look to see if any of the remaining boxes have a large amount
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# of overlap...
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for col in unusedCols:
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self.register(col, group[col])
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@ -402,7 +411,8 @@ class BestFrames(threading.Thread):
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obj['box']['xmax'], obj['box']['ymax'], obj['name'], "{}% {}".format(int(obj['score']*100), obj['area']))
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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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if self.camera.snapshot_config['show_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] = best_frame
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@ -152,6 +152,9 @@ class Camera:
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self.take_frame = self.config.get('take_frame', 1)
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self.watchdog_timeout = self.config.get('watchdog_timeout', 300)
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self.snapshot_config = {
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'show_timestamp': self.config.get('snapshots', {}).get('show_timestamp', True)
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}
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self.regions = self.config['regions']
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self.frame_shape = get_frame_shape(self.ffmpeg_input)
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self.frame_size = self.frame_shape[0] * self.frame_shape[1] * self.frame_shape[2]
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