| 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 | |
| int | succeed = answer | 
| list | target = [random.random(), random.random()] | 
| w | |
| string | WARNING = '\033[93m' | 
| 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.
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.
| int 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.