Variables | |
int | answer = 1 |
tuple | ax = fig.add_subplot(1, 1, 1) |
tuple | br = cv_bridge.CvBridge() |
tuple | circle = patches.Circle(xy=(0, 0), radius=1.0, fill=False, ec='g') |
string | ENDC = '\033[0m' |
string | FAIL = '\033[91m' |
tuple | fig = plt.figure() |
string | HEADER = '\033[95m' |
tuple | img = np.fromstring(fig.canvas.tostring_rgb(), dtype=np.uint8) |
tuple | img_msg = br.cv2_to_imgmsg(img, 'rgb8') |
string | OKBLUE = '\033[94m' |
string | OKGREEN = '\033[92m' |
list | old_targets_fail = [] |
tuple | old_targets_fail_nparr = np.array(old_targets_fail) |
list | old_targets_ok = [] |
tuple | old_targets_ok_nparr = np.array(old_targets_ok) |
tuple | predict_data = rospy.ServiceProxy('predict', ClassifyData) |
tuple | pub_img = rospy.Publisher('~output/debug_image', Image, queue_size=1) |
tuple | req = ClassifyDataRequest() |
tuple | req_point = ClassDataPoint() |
tuple | response = predict_data(req) |
tuple | succeed = int(float(response.classifications[0])) |
list | target = [random.random(), random.random()] |
string | WARNING = '\033[93m' |
Definition at line 48 of file random_forest_client_sample.py.
tuple random_forest_client_sample::ax = fig.add_subplot(1, 1, 1) |
Definition at line 68 of file random_forest_client_sample.py.
tuple random_forest_client_sample::br = cv_bridge.CvBridge() |
Definition at line 34 of file random_forest_client_sample.py.
tuple 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.
tuple random_forest_client_sample::fig = plt.figure() |
Definition at line 67 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.
tuple 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.
tuple random_forest_client_sample::img_msg = br.cv2_to_imgmsg(img, 'rgb8') |
Definition at line 111 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.
Definition at line 42 of file random_forest_client_sample.py.
tuple random_forest_client_sample::old_targets_fail_nparr = np.array(old_targets_fail) |
Definition at line 83 of file random_forest_client_sample.py.
Definition at line 41 of file random_forest_client_sample.py.
tuple random_forest_client_sample::old_targets_ok_nparr = np.array(old_targets_ok) |
Definition at line 82 of file random_forest_client_sample.py.
tuple random_forest_client_sample::predict_data = rospy.ServiceProxy('predict', ClassifyData) |
Definition at line 39 of file random_forest_client_sample.py.
tuple 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.
tuple random_forest_client_sample::req = ClassifyDataRequest() |
Definition at line 45 of file random_forest_client_sample.py.
tuple random_forest_client_sample::req_point = ClassDataPoint() |
Definition at line 46 of file random_forest_client_sample.py.
Definition at line 56 of file random_forest_client_sample.py.
tuple random_forest_client_sample::succeed = int(float(response.classifications[0])) |
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.
string random_forest_client_sample::WARNING = '\033[93m' |
Definition at line 27 of file random_forest_client_sample.py.