random_forest_client_sample Namespace Reference

Variables
int	answer = 1
	ax = fig.add_subplot(1, 1, 1)
	bbox_to_anchor
	br = cv_bridge.CvBridge()
	circle = patches.Circle(xy=(0, 0), radius=1.0, fill=False, ec='g')
string	ENDC = '\033[0m'
string	FAIL = '\033[91m'
	fig = plt.figure()
	h
string	HEADER = '\033[95m'
	img = np.fromstring(fig.canvas.tostring_rgb(), dtype=np.uint8)
	img_msg = br.cv2_to_imgmsg(img, 'rgb8')
	label
	loc
	markersize
string	OKBLUE = '\033[94m'
string	OKGREEN = '\033[92m'
list	old_targets_fail = []
	old_targets_fail_nparr = np.array(old_targets_fail)
list	old_targets_ok = []
	old_targets_ok_nparr = np.array(old_targets_ok)
	point
	predict_data = rospy.ServiceProxy('predict', ClassifyData)
	pub_img = rospy.Publisher('~output/debug_image', Image, queue_size=1)
	req = ClassifyDataRequest()
	req_point = ClassDataPoint()
	response = predict_data(req)
	shape
	succeed = answer
list	target = [random.random(), random.random()]
	w
string	WARNING = '\033[93m'

Variable Documentation

int random_forest_client_sample.answer = 1

Definition at line 48 of file random_forest_client_sample.py.

random_forest_client_sample.ax = fig.add_subplot(1, 1, 1)

Definition at line 68 of file random_forest_client_sample.py.

random_forest_client_sample.bbox_to_anchor

Definition at line 102 of file random_forest_client_sample.py.

random_forest_client_sample.br = cv_bridge.CvBridge()

Definition at line 34 of file random_forest_client_sample.py.

random_forest_client_sample.circle = patches.Circle(xy=(0, 0), radius=1.0, fill=False, ec='g')

Definition at line 78 of file random_forest_client_sample.py.

string random_forest_client_sample.ENDC = '\033[0m'

Definition at line 29 of file random_forest_client_sample.py.

string random_forest_client_sample.FAIL = '\033[91m'

Definition at line 28 of file random_forest_client_sample.py.

random_forest_client_sample.fig = plt.figure()

Definition at line 67 of file random_forest_client_sample.py.

random_forest_client_sample.h

Definition at line 106 of file random_forest_client_sample.py.

string random_forest_client_sample.HEADER = '\033[95m'

Definition at line 24 of file random_forest_client_sample.py.

random_forest_client_sample.img = np.fromstring(fig.canvas.tostring_rgb(), dtype=np.uint8)

Definition at line 107 of file random_forest_client_sample.py.

random_forest_client_sample.img_msg = br.cv2_to_imgmsg(img, 'rgb8')

Definition at line 111 of file random_forest_client_sample.py.

random_forest_client_sample.label

Definition at line 86 of file random_forest_client_sample.py.

random_forest_client_sample.loc

Definition at line 102 of file random_forest_client_sample.py.

random_forest_client_sample.markersize

Definition at line 93 of file random_forest_client_sample.py.

string random_forest_client_sample.OKBLUE = '\033[94m'

Definition at line 25 of file random_forest_client_sample.py.

string random_forest_client_sample.OKGREEN = '\033[92m'

Definition at line 26 of file random_forest_client_sample.py.

list random_forest_client_sample.old_targets_fail = []

Definition at line 42 of file random_forest_client_sample.py.

random_forest_client_sample.old_targets_fail_nparr = np.array(old_targets_fail)

Definition at line 83 of file random_forest_client_sample.py.

list random_forest_client_sample.old_targets_ok = []

Definition at line 41 of file random_forest_client_sample.py.

random_forest_client_sample.old_targets_ok_nparr = np.array(old_targets_ok)

Definition at line 82 of file random_forest_client_sample.py.

random_forest_client_sample.point

Definition at line 52 of file random_forest_client_sample.py.

random_forest_client_sample.predict_data = rospy.ServiceProxy('predict', ClassifyData)

Definition at line 39 of file random_forest_client_sample.py.

random_forest_client_sample.pub_img = rospy.Publisher('~output/debug_image', Image, queue_size=1)

Definition at line 35 of file random_forest_client_sample.py.

random_forest_client_sample.req = ClassifyDataRequest()

Definition at line 45 of file random_forest_client_sample.py.

random_forest_client_sample.req_point = ClassDataPoint()

Definition at line 46 of file random_forest_client_sample.py.

random_forest_client_sample.response = predict_data(req)

Definition at line 56 of file random_forest_client_sample.py.

random_forest_client_sample.shape

Definition at line 108 of file random_forest_client_sample.py.

random_forest_client_sample.succeed = answer

Definition at line 59 of file random_forest_client_sample.py.

list random_forest_client_sample.target = [random.random(), random.random()]

Definition at line 47 of file random_forest_client_sample.py.

random_forest_client_sample.w

Definition at line 106 of file random_forest_client_sample.py.

string random_forest_client_sample.WARNING = '\033[93m'

Definition at line 27 of file random_forest_client_sample.py.