Classes | Variables
pr2_playpen::hist_analyzer_final Namespace Reference

Classes

class  HistAnalyzer

Variables

tuple avg = np.mean(back_sum_ls)
tuple back_sum_ls = deque()
 comment this afterwards or clean up with options ####### cv.ShowImage("Source", ha.avg_noise) cv.WaitKey(-1) comment this afterwards or clean up with options #######
tuple background_noise = deque()
string default = 'check for success or failure in batch mode with already stored data'
tuple file_h2 = open(opt.batch_folder+'/object'+str(i).zfill(3)+'.pkl', 'w')
tuple file_list = glob.glob(opt.batch_folder+'/object'+str(i).zfill(3)+'*after*.png')
tuple file_manual = open('/home/mkillpack/Desktop/manual_classification_.pkl', 'w')
string folder = '/background_noise/'
tuple ha = HistAnalyzer(background_noise, mask)
tuple Imask = cv.CreateImage(cv.GetSize(ha.background_noise[0]), cv.IPL_DEPTH_8U, 1)
tuple img = cv.LoadImage(folder+'file'+str(i).zfill(3)+'.png')
 is_object = False
tuple length = int(file_list[-1][-17:-14])
tuple loc_sum = float(cv.Sum(result)[0])
tuple loc_sum2 = float(cv.Sum(result2)[0])
list manual_classification_list = []
tuple mask = cv.LoadImage(folder+'mask.png', 0)
int n = 0
tuple p = optparse.OptionParser()
dictionary res_dict = {'frames':[], 'success': [None]*length}
tuple result = ha.backgroundDiff(back_img, Imask)
tuple result2 = ha.backgroundDiff(back_img, Imask)
tuple std = np.std(back_sum_ls)
int sum_val = 0
tuple user_inp = raw_input('success:1, failure:0, not sure:-1 \n')

Variable Documentation

Definition at line 259 of file hist_analyzer_final.py.

comment this afterwards or clean up with options ####### cv.ShowImage("Source", ha.avg_noise) cv.WaitKey(-1) comment this afterwards or clean up with options #######

Definition at line 247 of file hist_analyzer_final.py.

Definition at line 225 of file hist_analyzer_final.py.

string pr2_playpen::hist_analyzer_final::default = 'check for success or failure in batch mode with already stored data'

Definition at line 212 of file hist_analyzer_final.py.

tuple pr2_playpen::hist_analyzer_final::file_h2 = open(opt.batch_folder+'/object'+str(i).zfill(3)+'.pkl', 'w')

Definition at line 354 of file hist_analyzer_final.py.

tuple pr2_playpen::hist_analyzer_final::file_list = glob.glob(opt.batch_folder+'/object'+str(i).zfill(3)+'*after*.png')

Definition at line 275 of file hist_analyzer_final.py.

Definition at line 309 of file hist_analyzer_final.py.

Definition at line 224 of file hist_analyzer_final.py.

Definition at line 237 of file hist_analyzer_final.py.

tuple pr2_playpen::hist_analyzer_final::Imask = cv.CreateImage(cv.GetSize(ha.background_noise[0]), cv.IPL_DEPTH_8U, 1)

Definition at line 248 of file hist_analyzer_final.py.

tuple pr2_playpen::hist_analyzer_final::img = cv.LoadImage(folder+'file'+str(i).zfill(3)+'.png')

Definition at line 252 of file hist_analyzer_final.py.

Definition at line 290 of file hist_analyzer_final.py.

Definition at line 277 of file hist_analyzer_final.py.

Definition at line 291 of file hist_analyzer_final.py.

Definition at line 326 of file hist_analyzer_final.py.

Definition at line 270 of file hist_analyzer_final.py.

tuple pr2_playpen::hist_analyzer_final::mask = cv.LoadImage(folder+'mask.png', 0)

Definition at line 235 of file hist_analyzer_final.py.

Definition at line 266 of file hist_analyzer_final.py.

tuple pr2_playpen::hist_analyzer_final::p = optparse.OptionParser()

Definition at line 209 of file hist_analyzer_final.py.

Definition at line 279 of file hist_analyzer_final.py.

tuple pr2_playpen::hist_analyzer_final::result = ha.backgroundDiff(back_img, Imask)

Definition at line 254 of file hist_analyzer_final.py.

tuple pr2_playpen::hist_analyzer_final::result2 = ha.backgroundDiff(back_img, Imask)

Definition at line 321 of file hist_analyzer_final.py.

Definition at line 260 of file hist_analyzer_final.py.

Definition at line 267 of file hist_analyzer_final.py.

tuple pr2_playpen::hist_analyzer_final::user_inp = raw_input('success:1, failure:0, not sure:-1 \n')

Definition at line 307 of file hist_analyzer_final.py.



pr2_playpen
Author(s): Marc Killpack / mkillpack3@gatech.edu, Advisor: Prof. Charlie Kemp, Lab: Healthcare Robotics Lab at Georgia Tech
autogenerated on Wed Nov 27 2013 12:18:32