Classes |
| class | pr2_playpen.hist_analyzer_final.HistAnalyzer |
Namespaces |
| namespace | pr2_playpen::hist_analyzer_final |
Variables |
| tuple | pr2_playpen::hist_analyzer_final.avg = np.mean(back_sum_ls) |
| tuple | pr2_playpen::hist_analyzer_final.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 | pr2_playpen::hist_analyzer_final.background_noise = deque() |
| string | pr2_playpen::hist_analyzer_final.default = 'check for success or failure in batch mode with already stored data' |
| tuple | pr2_playpen::hist_analyzer_final.file_h2 = open(opt.batch_folder+'/object'+str(i).zfill(3)+'.pkl', 'w') |
| tuple | pr2_playpen::hist_analyzer_final.file_list = glob.glob(opt.batch_folder+'/object'+str(i).zfill(3)+'*after*.png') |
| tuple | pr2_playpen::hist_analyzer_final.file_manual = open('/home/mkillpack/Desktop/manual_classification_.pkl', 'w') |
| string | pr2_playpen::hist_analyzer_final.folder = '/background_noise/' |
| tuple | pr2_playpen::hist_analyzer_final.ha = HistAnalyzer(background_noise, mask) |
| tuple | pr2_playpen::hist_analyzer_final.Imask = cv.CreateImage(cv.GetSize(ha.background_noise[0]), cv.IPL_DEPTH_8U, 1) |
| tuple | pr2_playpen::hist_analyzer_final.img = cv.LoadImage(folder+'file'+str(i).zfill(3)+'.png') |
| | pr2_playpen::hist_analyzer_final.is_object = False |
| tuple | pr2_playpen::hist_analyzer_final.length = int(file_list[-1][-17:-14]) |
| tuple | pr2_playpen::hist_analyzer_final.loc_sum = float(cv.Sum(result)[0]) |
| tuple | pr2_playpen::hist_analyzer_final.loc_sum2 = float(cv.Sum(result2)[0]) |
| list | pr2_playpen::hist_analyzer_final.manual_classification_list = [] |
| tuple | pr2_playpen::hist_analyzer_final.mask = cv.LoadImage(folder+'mask.png', 0) |
| int | pr2_playpen::hist_analyzer_final.n = 0 |
| tuple | pr2_playpen::hist_analyzer_final.p = optparse.OptionParser() |
| dictionary | pr2_playpen::hist_analyzer_final.res_dict = {'frames':[], 'success': [None]*length} |
| tuple | pr2_playpen::hist_analyzer_final.result = ha.backgroundDiff(back_img, Imask) |
| tuple | pr2_playpen::hist_analyzer_final.result2 = ha.backgroundDiff(back_img, Imask) |
| tuple | pr2_playpen::hist_analyzer_final.std = np.std(back_sum_ls) |
| int | pr2_playpen::hist_analyzer_final.sum_val = 0 |
| tuple | pr2_playpen::hist_analyzer_final.user_inp = raw_input('success:1, failure:0, not sure:-1 \n') |