refactor: split event loop process

This commit is contained in:
Cyrille Nofficial 2022-10-20 16:02:24 +02:00 committed by Cyrille Nofficial
parent c3396b13ac
commit b50b54be34

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@ -103,67 +103,63 @@ class FramePublisher:
if self._stop: if self._stop:
return return
try: try:
logger.debug("wait for new frame") self._loop_on_camera_events(q_nn, q_rgb)
in_rgb = q_rgb.get() # blocking call, will wait until a new data has arrived
im_resize = in_rgb.getCvFrame()
is_success, im_buf_arr = cv2.imencode(".jpg", im_resize)
byte_im = im_buf_arr.tobytes()
now = datetime.datetime.now()
frame_msg = events.events_pb2.FrameMessage()
frame_msg.id.name = "robocar-oak-camera-oak"
frame_msg.id.id = str(int(now.timestamp() * 1000))
frame_msg.id.created_at.FromDatetime(now)
frame_msg.frame = byte_im
logger.debug("publish frame event to %s", self._frame_topic)
self._mqtt_client.publish(topic=self._frame_topic,
payload=frame_msg.SerializeToString(),
qos=0,
retain=False)
in_nn = q_nn.get()
# get outputs
detection_boxes = np.array(in_nn.getLayerFp16("ExpandDims")).reshape((100, 4))
detection_scores = np.array(in_nn.getLayerFp16("ExpandDims_2")).reshape((100,))
# keep boxes bigger than threshold
mask = detection_scores >= self._objects_threshold
boxes = detection_boxes[mask]
scores = detection_scores[mask]
if boxes.shape[0] > 0:
objects_msg = events.events_pb2.ObjectsMessage()
objs = []
for i in range(boxes.shape[0]):
bbox = boxes[i]
logger.debug("new object detected: %s", str(bbox))
obj = events.events_pb2.Object()
obj.type = events.events_pb2.TypeObject.ANY
obj.top = bbox[0].astype(float)
obj.right = bbox[3].astype(float)
obj.bottom = bbox[2].astype(float)
obj.left = bbox[1].astype(float)
obj.confidence = scores[i].astype(float)
objs.append(obj)
objects_msg.objects.extend(objs)
objects_msg.frame_ref.name = frame_msg.id.name
objects_msg.frame_ref.id = frame_msg.id.id
objects_msg.frame_ref.created_at.FromDatetime(now)
logger.debug("publish object event to %s", self._frame_topic)
self._mqtt_client.publish(topic=self._objects_topic,
payload=objects_msg.SerializeToString(),
qos=0,
retain=False)
# pylint: disable=broad-except # bad frame or event must not stop loop # pylint: disable=broad-except # bad frame or event must not stop loop
except Exception as excpt: except Exception as ex:
logger.exception("unexpected error: %s", str(excpt)) logger.exception("unexpected error: %s", str(ex))
def _loop_on_camera_events(self, q_nn: dai.DataOutputQueue, q_rgb: dai.DataOutputQueue):
logger.debug("wait for new frame")
# Wait for frame
in_rgb = _get_as_imgframe(q_rgb) # blocking call, will wait until a new data has arrived
frame_msg, now = self._read_and_publish_frame(in_rgb)
# Read NN result
in_nn = _get_as_nndata(q_nn)
# get outputs
detection_boxes = np.array(in_nn.getLayerFp16("ExpandDims")).reshape((100, 4))
detection_scores = np.array(in_nn.getLayerFp16("ExpandDims_2")).reshape((100,))
# keep boxes bigger than threshold
mask = detection_scores >= self._objects_threshold
boxes = detection_boxes[mask]
scores = detection_scores[mask]
if boxes.shape[0] > 0:
self._publish_objects(boxes, frame_msg, now, scores)
def _read_and_publish_frame(self, in_rgb: dai.ImgFrame) -> (events.events_pb2.FrameMessage, datetime.datetime):
im_resize = in_rgb.getCvFrame()
is_success, im_buf_arr = cv2.imencode(".jpg", im_resize)
byte_im = im_buf_arr.tobytes()
now = datetime.datetime.now()
frame_msg = events.events_pb2.FrameMessage()
frame_msg.id.name = "robocar-oak-camera-oak"
frame_msg.id.id = str(int(now.timestamp() * 1000))
frame_msg.id.created_at.FromDatetime(now)
frame_msg.frame = byte_im
logger.debug("publish frame event to %s", self._frame_topic)
self._mqtt_client.publish(topic=self._frame_topic,
payload=frame_msg.SerializeToString(),
qos=0,
retain=False)
return frame_msg, now
def _publish_objects(self, boxes, frame_msg, now, scores):
objects_msg = events.events_pb2.ObjectsMessage()
objs = []
for i in range(boxes.shape[0]):
logger.debug("new object detected: %s", str(boxes[i]))
objs.append(_bbox_to_object(boxes[i], scores[i].astype(float)))
objects_msg.objects.extend(objs)
objects_msg.frame_ref.name = frame_msg.id.name
objects_msg.frame_ref.id = frame_msg.id.id
objects_msg.frame_ref.created_at.FromDatetime(now)
logger.debug("publish object event to %s", self._frame_topic)
self._mqtt_client.publish(topic=self._objects_topic,
payload=objects_msg.SerializeToString(),
qos=0,
retain=False)
def stop(self): def stop(self):
""" """
@ -171,3 +167,22 @@ class FramePublisher:
:return: :return:
""" """
self._stop = True self._stop = True
def _get_as_nndata(queue: dai.DataOutputQueue) -> dai.NNData:
return queue.get()
def _get_as_imgframe(queue: dai.DataOutputQueue) -> dai.ImgFrame:
return queue.get()
def _bbox_to_object(bbox: np.array, score: float) -> events.events_pb2.Object:
obj = events.events_pb2.Object()
obj.type = events.events_pb2.TypeObject.ANY
obj.top = bbox[0].astype(float)
obj.right = bbox[3].astype(float)
obj.bottom = bbox[2].astype(float)
obj.left = bbox[1].astype(float)
obj.confidence = score
return obj