test_generate_result_images_all.py

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#!/usr/bin/python
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#  \author Martin Schuster (Healthcare Robotics Lab, Georgia Tech.)
import roslib; roslib.load_manifest('laser_camera_segmentation')


import laser_camera_segmentation.processor as processor
import laser_camera_segmentation.configuration as configuration       
        
import time 

from dumpObj import dumpObj

import subprocess    
        
cfg = configuration.configuration('/home/martin/robot1_data/usr/martin/laser_camera_segmentation/labeling')
pc = processor.processor(cfg)

#testresults_all = pc.load_testresults_all()
#print testresults_all
#pc.print_testresults_all_latex(testresults_all)

scan_dataset = pc.scans_database.get_dataset(0)
#get size of training set in total
while False != scan_dataset:
    if scan_dataset.is_labeled: #former: is_testset
        output = subprocess.Popen(["python", 'test_generate_result_images.py',str(scan_dataset.id)]).communicate()[0]
    
    #get next one
    scan_dataset = pc.scans_database.get_next_dataset()