What is this?


Detect faces within an images using Amazon Rekognition. Please refer to DetectFaces.

Subscribing Topic

  • ~input (sensor_msgs/Image)

    Input image.

Publishing Topic

  • ~faces (opencv_msgs/FaceArrayStamped)

    Detected face positions, facial landmarks, emotions, presence of beard, sunglasses, and so on.

  • ~poses (geometry_msgs/PoseArray)

    Pose of the face as determined by its pitch, roll, and yaw. The pose is published in Quaternion, to reconstruct Roll, Pitch, Yaw, use following codes.

    ``` import math import rospy from geometry_msgs.msg import PoseArray

    from tf.transformations import euler_from_quaternion

    def cb(msg):
    for pose in msg.poses:

    angles = euler_from_quaternion([pose.orientation.x, pose.orientation.y, pose.orientation.z, pose.orientation.w]) print(“roll: {}, pitch: {}, yaw: {}”.format(angles[0]*180/math.pi,angles[1]*180/math.pi,angles[2]*180/math.pi))

    if __name__ == ‘__main__’:

    rospy.init_node(‘pose_example’) rospy.Subscriber(‘/aws_detect_faces/poses’, PoseArray, cb) rospy.spin()


  • ~attributes (jsk_recognition_msgs/ClassificationResult)

    Attributes of the face, such as emotions, presence of beard, sunglasses, and so on, with confidence.

  • ~landmarks (jsk_recognition_msgs/PeoplePoseArray)

    The location of landmarks on the face.

  • ~output (sensor_msgs/Image)

    Visualization image of detected faces.



roslaunch jsk_perception sample_aws_detect_faces.launch

Optional Arguments:
  attributes (default "ALL"): set either ALL or DEFAULT for returning attributes
  use_usb_cam (default "false"): set true to use USB camera image as input
  use_window (default "true"): set false if you do not want to display window

For JSK user, Download aws.json file from [Gdrive]( and put this under /tmp directory to run sample code.