def __init__(self, limb):
        
	# 
	self._limb = limb
        self._knObj = KinectNiteHelp()
	self._baeObj = BaxterArmEndpoint(self._limb)
	self._bbhObj = BaxterButtonHelp(self._limb)
	self._baeObj.startSubscriber()

	self._posCount = 0

	self._rotMat = []
	self._transMat = []
	self._handCoordinates = [0, 0, 0]
	self._baxterCoordinates = [0, 0, 0]
class CalibBaxterKinect:

    def __init__(self, limb):
        
	# 
	self._limb = limb
        self._knObj = KinectNiteHelp()
	self._baeObj = BaxterArmEndpoint(self._limb)
	self._bbhObj = BaxterButtonHelp(self._limb)
	self._baeObj.startSubscriber()

	self._posCount = 0

	self._rotMat = []
	self._transMat = []
	self._handCoordinates = [0, 0, 0]
	self._baxterCoordinates = [0, 0, 0]
    
    def openingStatement(self):
	
	# Display opening statement with instructions for caliberation
	print "Baxter Kinect Calibration Program"
	print "Press circle button to start calibration when Baxter arm is in desired position."
	print "Press long button hen user hand is in desired position"
	print "Press big button on Baxter arm to calculate rotation and translation matrix"	
	print

    def calibrate(self):
	buttonStates = self._bbhObj.getButtonStates()
	if(buttonStates["cState"]):
		print "Registered Baxter Hand Pos."
		print "Move arm to desired pos and press long button on cuff."	
		buttonStates = self._bbhObj.getButtonStates()
		while(buttonStates["lState"] == False):
			buttonStates = self._bbhObj.getButtonStates()
			continue
		
		# Get and store baxter coordinates
		baxter_endpoint = self._baeObj.getArmEndPos()
		baxterTempPos = [baxter_endpoint["x"], baxter_endpoint["y"], baxter_endpoint["z"]]
		self._baxterCoordinates = vstack((self._baxterCoordinates, baxterTempPos))
		
		# Get and store kinect coordinates
		try:

			hand_endpoint = self._knObj.getLeftHandPos()
	
			handTempPos = [hand_endpoint[0], hand_endpoint[1], hand_endpoint[2]]
			self._handCoordinates = vstack((self._handCoordinates, handTempPos))
		except:
			print "Error in kinect_nite_help part."	

		print "Baxter and Kinect Pos %d added." % (self._posCount + 1)
		print "Current Baxter Matrix:"
		print self._baxterCoordinates
		print "Current Hand Matrix"
		print self._handCoordinates
		self._posCount = self._posCount + 1
	
	elif(buttonStates["bState"]):
		if(self._posCount >= 4):
			tempBaxterMat = mat(self._baxterCoordinates[1:])
			tempHandMat = mat(self._handCoordinates[1:])
			print tempBaxterMat
			print tempHandMat
			print "Calculate rotation and transalation matrix"
			self._rotMat, self._transMat = svd_rt(tempHandMat, tempBaxterMat)
			print "Rotation matrix:"
			print self._rotMat

			print "Translation matrix:"
			print self._transMat
			
			rtMatFile = open("RTMatFile.dat", "w");
			cPickle.dump(self._rotMat, rtMatFile)
                	cPickle.dump(self._transMat, rtMatFile);
                	rtMatFile.close()
				
			print "Rotation and Translation Matrices Stored To File"
		else:
			print "Not Enough Points to perform SVD. You need %d more points" % (3 - self._posCount)
def main():

	global img
	global image_corners
	global click_count
	global baxter_endpoints
	
	rospy.init_node('RetrieveCamToolTableCalib', disable_signals=True)

	# Record Baxter Coordinates
	print
	print "Record arm endpoints using Cuff Button and Big Button when 4 points are done (Left Arm)"	
	cam_arm = baxter_interface.limb.Limb("left")
	bbhObj = BaxterButtonHelp("left")
	baxter_endpoints = []
	click_count = 0
	while_flag = True
	while(while_flag):
		cButtonPressed = bbhObj.getButtonStates()['cState']
		bButtonPressed = bbhObj.getButtonStates()['bState']		
		
		if(cButtonPressed):
			pose = cam_arm.endpoint_pose()
			xyz = pose["position"]
			baxter_endpoints.append(xyz)	
			click_count += 1
			time.sleep(1)
			print "Baxter Arm EndPoint %s added" % (click_count)

		if(bButtonPressed):	
			if (click_count == 4):
				while_flag = False
				print "Baxter Endpoints Recorded Recorded:"
				print baxter_endpoints
			elif (click_count < 4):	
				while_flag = True
				baxter_endpoints = []
				click_count = 0
				print "Less than 4 points recorded. Please re-record all corners"
			else:
				while_flag = True
				baxter_endpoints = []
				click_count = 0
				print "More than 4 points recorded. Please record only the corners"
			
			time.sleep(1)	

	##############################################################
	print "Storing Retrieval Position"
	# Store retrieval position
	print
	print "Moving baxter cam arm to desired location image frame" 
		
	cam_arm_x = ((baxter_endpoints[0].x + baxter_endpoints[2].x) / 2) + 0 #As camera not at center	
	cam_arm_y = (baxter_endpoints[0].y + baxter_endpoints[2].y) / 2	+ 0.003 #As camera is not at center
	cam_arm_z = ((baxter_endpoints[0].z + baxter_endpoints[2].z) / 2) + 0	 # Height above table
		
	# All orientation calclulations
	voObj = VectorOrientation() 
	voObj.setVectorChange(0.00, 0.00, -1.0) # X, Y and Z Vector Axis Orientation
	#voObj.setAngleOrientation(-20, 0, 0,  'd')
	voObj.calcVectorOrientation()
	# Set gamma in degrees
	voObj.setGamma(180, 'd')
	# Trick for baxter orientation change for rigth arm:
	voObj.setAngleOrientation(-voObj._theta, voObj._phi, voObj._gamma, 'r')
	# Calculate quaternion
	quat = voObj.getQuaternionOrientation()
	
	# Inverse Kinematics
	arm = IKSolveBaxter("left")
	arm.setArmEndPos(cam_arm_x, cam_arm_y, cam_arm_z, quat[0], quat[1], quat[2], quat[3])
	arm.ik_solve();
	ret_joints = arm.getBaxterJointSpace()
	
	bcajpFile = open("BaxterRetArmJointPosFile.dat", "w");
    	cPickle.dump(ret_joints, bcajpFile);
    	bcajpFile.close()
	# Move Arm
	control_arm = baxter_interface.limb.Limb("left")
	control_arm.set_joint_position_speed(0.5) # Joint movement speed
	control_arm.move_to_joint_positions(ret_joints, 5.0)
	time.sleep(1)
	##############################################################
	# Move baxter arm
	print
	print "Moving baxter cam arm to desired location image frame" 
		
	cam_arm_x = ((baxter_endpoints[0].x + baxter_endpoints[2].x) / 2) + 0.075 #As camera not at center	
	cam_arm_y = (baxter_endpoints[0].y + baxter_endpoints[2].y) / 2	+ 0.005 #As camera is not at center
	cam_arm_z = ((baxter_endpoints[0].z + baxter_endpoints[2].z) / 2) + 0.15	 # Height above table
		
	# All orientation calclulations
	voObj = VectorOrientation() 
	voObj.setVectorChange(0.00, 0.00, -1.0) # X, Y and Z Vector Axis Orientation
	#voObj.setAngleOrientation(-20, 0, 0,  'd')
	voObj.calcVectorOrientation()
	# Set gamma in degrees
	voObj.setGamma(180, 'd')
	# Trick for baxter orientation change for rigth arm:
	voObj.setAngleOrientation(-voObj._theta, voObj._phi, voObj._gamma, 'r')
	# Calculate quaternion
	quat = voObj.getQuaternionOrientation()
	
	# Inverse Kinematics
	arm = IKSolveBaxter("left")
	arm.setArmEndPos(cam_arm_x, cam_arm_y, cam_arm_z, quat[0], quat[1], quat[2], quat[3])
	arm.ik_solve();
	joints = arm.getBaxterJointSpace()
	
	# Move Arm
	control_arm = baxter_interface.limb.Limb("left")
	control_arm.set_joint_position_speed(0.5) # Joint movement speed
	control_arm.move_to_joint_positions(joints, 5.0)
	
	os.system("clear")
	
	print "Press C to continue and store baxter camera arm position"
	while(not sf.Keyboard.is_key_pressed(sf.Keyboard.C)):
		pass

	bcajpFile = open("RetrieveBaxterCamArmJointPosFile.dat", "w");
    	cPickle.dump(joints, bcajpFile);
    	bcajpFile.close()
	print
	print "Baxter Camera Arm Position Stored"
	
	# Get image frame from baxter hand camera
	print
	print "Waiting for image..."
	sihObj = SubImageHelp("/cameras/left_hand_camera/image")
	error_flag = True
	rate = rospy.Rate(1)
	rate.sleep()	
	while error_flag == True:
		try:
			img = sihObj.getCVImage()
			error_flag = False
			print "BaxterImageObtained"
			rate.sleep()
		except:
			print
			print "Error in Obtaining Image"
	
		
	# All recording points stuff
	print
	print "Record all 4 corner points using mouse double click and then press key to continue"
	img_copy = img.copy()
	while_flag = True
	while(while_flag):
		img = img_copy.copy()
		click_count = 0
		image_corners = [] 
		cv2.namedWindow('RetrieveImage')
		cv2.imshow('RetrieveImage', img)
		cv2.setMouseCallback('RetrieveImage',handle_mouse)
	
		cv2.waitKey(0)
		
		if (click_count == 4):
			while_flag = False
			print "Image Corners Recorded"
			print
			print "The image corners are:"
			print image_corners[0], image_corners[1], image_corners[2], image_corners[3]
		elif (click_count < 4):	
			while_flag = True
			print "Less than 4 points recorded. Please re-record all corners"
		else:
			while_flag = True
			print "More than 4 points recorded. Please record only the corners"
	
	#cv2.destroyAllWindows()
	
	time.sleep(1)
	
	X = numpy.matrix([
			[image_corners[0][0], image_corners[2][0], image_corners[3][0]],
			[image_corners[0][1], image_corners[2][1], image_corners[3][1]],
			[1.0, 1.0, 1.0] 
			])
	A = numpy.matrix([
			[baxter_endpoints[0].x, baxter_endpoints[2].x, baxter_endpoints[3].x], 
			[baxter_endpoints[0].y, baxter_endpoints[2].y, baxter_endpoints[3].y],
			[baxter_endpoints[0].z, baxter_endpoints[2].z, baxter_endpoints[3].z] 
			])
	# Add Image Clip positions and Display Clipped Image
	x1 = max( [image_corners[0][0], image_corners[3][0]] )
	y1 = max( [image_corners[0][1], image_corners[1][1]] )
	x2 = min( [image_corners[1][0], image_corners[2][0]] )
	y2 = min( [image_corners[2][1], image_corners[3][1]] )
	
	image_clip = [x1, y1, x2, y2]

	img = img_copy[:, image_clip[0] : image_clip[2] ]
	img = img[image_clip[1] : image_clip[3], :]
	
	
	cv2.imwrite('RetrieveImage.png', img)
	ImageClipPosFile = open("RetrieveImageClipPosFile.dat", "w");
    	cPickle.dump(image_clip, ImageClipPosFile);
	ImageClipPosFile.close()
	

	print "Image Clip Positions Added To File"
	time.sleep(1)
	
	print
	print "Press C to continue and calculate tranformation matrix"
	while(not sf.Keyboard.is_key_pressed(sf.Keyboard.C)):
		pass
	
	
	
	os.system("clear")

	print "Image Corner Pixel Locations:"
	print X
	print
	
	print "Baxter Endpoint Locations:"
	print A
	print
	
	XAPosFile = open("RetrieveXAPosFile.dat", "w");
    	cPickle.dump(X, XAPosFile);
	cPickle.dump(A, XAPosFile);
    	XAPosFile.close()
	time.sleep(1)
	print "X(ImageCorners) and A(BaxterEndpoints) Stored in XAPosFile.dat"
	print

	if(numpy.linalg.det(X) == 0):
		print "Determiant of image corner matrix = 0"
		print "Please retry calibration"
	else:
		T = numpy.matrix( numpy.dot( A, numpy.linalg.inv(X) ) )
		print "Tranformation Matrix:"
		print T
		print
		print "Writing to transformation matrix file..."
		tmatFile = open("RetrieveTransformationMatrixFile.dat", "w");
    		cPickle.dump(T, tmatFile);
    		tmatFile.close()
		print "Tranformation matrix added" 
		print

	time.sleep(1)
	print "Press C to continue and exit program"
	
	
	
	while(not sf.Keyboard.is_key_pressed(sf.Keyboard.C)):
		pass
	
	rospy.signal_shutdown("Shutting down ROS Node to calculate transformation")
	print
	print "Exit Program"
	print 
	return 0