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