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analyze_flow.py
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from __future__ import division
import rospy
import numpy as np
import picamera.array
from pidrone_pkg.msg import State
from geometry_msgs.msg import TwistStamped
class AnalyzeFlow(picamera.array.PiMotionAnalysis):
''' A class used for real-time motion analysis of optical flow vectors to
obtain the planar and yaw velocities of the drone.
For more information, read the following:
http://picamera.readthedocs.io/en/release-1.10/api_array.html#picamera.array.PiMotionAnalysis
'''
def setup(self, camera_wh):
''' Initialize the instance variables '''
# flow variables
self.max_flow = camera_wh[0] / 16.0 * camera_wh[1] / 16.0 * 2**7
self.flow_scale = .165
self.flow_coeff = 100 * self.flow_scale / self.max_flow # (multiply by 100 for cm to m conversion)
self.altitude = 0.0
# ROS setup:
############
# Publisher:
self.twistpub = rospy.Publisher('/pidrone/picamera/twist', TwistStamped, queue_size=1)
# Subscriber:
rospy.Subscriber("/pidrone/state", State, self.state_callback)
def analyse(self, a):
''' Analyze the frame, calculate the motion vectors, and publish the
twist message. This is implicitly called by the
a : an array of the incoming motion data that is provided by the
PiMotionAnalysis api
'''
# signed 1-byte values
x = a['x']
y = a['y']
# calculate the planar and yaw motions
x_motion = np.sum(x) * self.flow_coeff * self.altitude
y_motion = np.sum(y) * self.flow_coeff * self.altitude
twist_msg = TwistStamped()
twist_msg.header.stamp = rospy.Time.now()
twist_msg.twist.linear.x = self.near_zero(x_motion)
twist_msg.twist.linear.y = - self.near_zero(y_motion)
# Update and publish the twist message
self.twistpub.publish(twist_msg)
def near_zero(self, n):
return 0 if abs(n) < 0.001 else n
def state_callback(self, msg):
"""
Store z position (altitude) reading from State
"""
self.altitude = msg.pose_with_covariance.pose.position.z