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test_on_PR2_try4.py File Reference

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Namespaces

namespace  test_on_PR2_try4

Functions

def test_on_PR2_try4.create_default_scan_dataset
def test_on_PR2_try4.define_ROI_polygons
 MAKE SURE THAT THESE MATCH ORIGINAL TAKE: CROP CAMERA IMAGE TO RIO.
def test_on_PR2_try4.show_image

Variables

tuple test_on_PR2_try4.ac = acquire_pr2_data.AcquireCloud()
 test_on_PR2_try4.CalibrationVisual = True
tuple test_on_PR2_try4.cfg = configuration.configuration(DATA_LOCATION, ROBOT)
 CHANGE THIS TO THE DIRECTORY WITH RESULTS FROM CODY: change 'codyRobot' to 'dummyScanner' or code tries to find camera drivers, etc.
 test_on_PR2_try4.colors = pc.map_polys
tuple test_on_PR2_try4.crop_region = (0.3,0.3,0.3,0.3)
tuple test_on_PR2_try4.data = np.asarray(pc.pts3d_bound)
tuple test_on_PR2_try4.data_idx = np.where(np.asarray(pc.map_polys) == processor.LABEL_SURFACE)
string test_on_PR2_try4.DATA_LOCATION = '/home/jokerman/Desktop/PR2/'
string test_on_PR2_try4.DATASET_ID = 'pr2_example_0003'
 test_on_PR2_try4.displayOn = True
tuple test_on_PR2_try4.feature_data = pc.generate_features(NUMBER_OF_POINTS,False, True)
string test_on_PR2_try4.filename = 'data/'
 test_on_PR2_try4.h = image_size.height
tuple test_on_PR2_try4.image_size = cv.cvGetSize(pc.img)
 pc.map = (pc.camPts_bound, pc.camPts, pc.idx_list, pc.pts3d_bound,pc.scan_indices_bound, pc.intensities_bound)
 test_on_PR2_try4.IS_LABELED = True
string test_on_PR2_try4.MODE = 'all_post'
tuple test_on_PR2_try4.N = len(idx_list)
tuple test_on_PR2_try4.Nbound = len( idx_list[idx_list] )
int test_on_PR2_try4.NUMBER_OF_POINTS = 3500
float test_on_PR2_try4.object_height = 0.1
 Placement routine.
tuple test_on_PR2_try4.overlay_img = pc.draw_mapped_laser_into_image(None, pc.pts3d, pc.img)
tuple test_on_PR2_try4.pc = processor.processor(cfg)
tuple test_on_PR2_try4.pl = Placement(pc, resolution)
 object_height = 0.1
tuple test_on_PR2_try4.placement_point = pl.test_placement(polygon, object_height)
 REPLACE WITH MY OWN CLASS DEFINITION WITH FUNCTIONs.
tuple test_on_PR2_try4.polygon = label_object()
tuple test_on_PR2_try4.polygon_labels = list(1 for x in range(m))
 pc.display_3d('labels')###
tuple test_on_PR2_try4.pub = rospy.Publisher('labeled_cloud', PointCloud)
list test_on_PR2_try4.resolution = [.01*SCALE, .01*SCALE]
string test_on_PR2_try4.ROBOT = 'PR2'
 test_on_PR2_try4.SAVE_INTENSITY_IMAGE = False
 test_on_PR2_try4.SAVE_UNUSED_NEIGHBORS_TO = False
 pc.display_all_data()###
int test_on_PR2_try4.SCALE = 1
 test_on_PR2_try4.SHOW_IN_ROS = True
 previously 1000, False,True
tuple test_on_PR2_try4.table_height = np.mean(data, axis=1)
 test_on_PR2_try4.USE_POLYGONS = True
 test_on_PR2_try4.w = image_size.width
int test_on_PR2_try4.z_above_floor = 0


clutter_segmentation
Author(s): Jason Okerman, Martin Schuster, Advisors: Prof. Charlie Kemp and Jim Regh, Lab: Healthcare Robotics Lab at Georgia Tech
autogenerated on Wed Nov 27 2013 12:07:15