Classes | Namespaces | Functions | Variables
processor.py File Reference

Go to the source code of this file.

Classes

class  processor.processor

Namespaces

namespace  processor

Functions

def processor.apply_transform_matrix
def processor.check_3d_plane_point
def processor.collect_and_save_testresults_crossvalidation
def processor.create_combined_polygon_image
def processor.create_polygon_images
def processor.display_3d
def processor.draw_3d
def processor.draw_3d_axis
def processor.draw_plane
def processor.draw_vector
def processor.generate_and_save_visualizations
def processor.generate_and_save_visualizations_all
def processor.generate_and_save_visualizations_height
def processor.generate_features
def processor.generate_save_features
def processor.get_3d_plane_normal
def processor.get_3d_point
def processor.get_3d_point_index
def processor.get_Classifier_labels_filename
def processor.get_features_filename
def processor.get_groundplane_translation
def processor.get_point_label
def processor.get_voi_indices_fancy
def processor.load_classifier_and_test_on_dataset
def processor.load_Classifier_labels
def processor.load_Classifiers
def processor.load_metadata
def processor.load_testresults_all
def processor.load_testresults_all_crossvalidation_fold
def processor.load_testresults_crossvalidation
def processor.plot_axis
def processor.plot_s_h_probabilities
def processor.polt_color_scatterplots_2d
def processor.print_testrestults_crossvalidation_latex
def processor.print_testresults_all_latex
def processor.process_intensities
def processor.process_labels
def processor.process_masks
def processor.process_raw_data
def processor.read_artag
def processor.rotate_pointcloud_match_groundplane
def processor.rotate_to_plane
def processor.save_3d
def processor.save_all_labeled_pointclouds
def processor.save_classifier_labels
def processor.save_intensity_image
def processor.save_labels_image
def processor.save_mapped_image
def processor.save_masks_image
def processor.save_testresults_all
def processor.save_testresults_all_crossvalidation_fold
def processor.save_testresults_crossvalidation
def processor.test_Classifiers
def processor.test_classifiers_on_testset
def processor.test_crossvalidation_on_valid_scans
def processor.train_and_save_Classifiers
def processor.update_test_postprocessing_on_testset
def processor.xyzToHomogenous
def processor.z_translate_pointcloud_groundplane

Variables

 processor::combined_polygon_image
int processor.count = 0
tuple processor.dict = ut.load_pickle(filename)
tuple processor.factor = np.divide(np.ones(len(range_hist_surface_plot)),max)
tuple processor.fig_range = plt.figure()
tuple processor.filename = self.get_features_filename()
 processor.first_loop_run = True
tuple processor.fv_range = (dict['features'][count])
tuple processor.idx = np.asarray(range(len(self.features.get_indexvector('range'))))
 processor::img_intensities
 processor::img_labels
int processor.LABEL_CLUTTER = 2
int processor.LABEL_NONE = 0
int processor.LABEL_ROI = 3
int processor.LABEL_SURFACE = 1
string processor.LOC_ARTAGS_LIB = "/home/martin/artags/ARToolKitPlus_2.1.1/lib:/usr/local/lib:"
string processor::LOC_ARTAGS_SIMPLE = "/home/martin/artags/ARToolKitPlus_2.1.1/bin/simple"
 processor.loop_condition = True
 processor::map_polys
 mlab.points3d(self.pts3d_bound[0,:].A1,self.pts3d_bound[1,:].A1,self.pts3d_bound[2,:].A1,self.map_polys,mode='point',scale_factor=0.01,colormap='jet')#,colormap='winter'
tuple processor.max = np.maximum(np.maximum(np.maximum(range_hist_surface_plot,range_hist_clutter_plot),range_hist_surface_std),range_hist_clutter_std)
 processor.MLAB_LOADED = True
tuple processor.plot1 = plt.bar(idx,range_hist_surface_plot,width,yerr=range_hist_surface_std,color='g')
tuple processor.plot2 = plt.bar(idx+width,range_hist_clutter_plot,width,yerr=range_hist_clutter_std,color='r')
string processor.plt_filename = '/range_features.png'
 processor::pts3d
 processor.pts3d_bound
tuple processor.range_hist_clutter_plot = np.multiply(range_hist_clutter_plot,factor)
int processor.range_hist_clutter_std = 0
tuple processor.range_hist_surface_plot = np.multiply(range_hist_surface_plot,factor)
int processor.range_hist_surface_std = 0
 plot normals sphere:##
 processor.scan_dataset
 processor::scans_database
float processor.width = 0.35


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