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log_images.py File Reference

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Namespaces

namespace  log_images

Functions

def log_images.got_pose_cb

Variables

tuple log_images.bridge = CvBridge()
tuple log_images.cam = dr.dragonfly2(camera_name)
string log_images.camera_name = 'remote_head'
tuple log_images.cap = cvCreateFileCapture(video_name)
tuple log_images.ch_pub = rospy.Publisher('/checker_to_poses/trigger', Empty)
list log_images.color = cp['color']
tuple log_images.config_pub = rospy.Publisher(topic_name+'_info', CameraInfo)
list log_images.cp = cc.camera_parameters[camera_name]
tuple log_images.cv_im = cv.LoadImage(name)
tuple log_images.cvim = cvQueryFrame(cap)
tuple log_images.d = ut.load_pickle(pkl_name)
string log_images.dest = 'images_only'
 log_images.display = False
tuple log_images.distortion_cvmat = cvCreateMat(1,4,cv.CV_32FC1)
tuple log_images.dmat_np
list log_images.failed_im_list = []
string log_images.file_name = '_'
string log_images.fname = 'handheld_pull_log_'
tuple log_images.ft_pub = rospy.Publisher('/ftlogger/trigger', Empty)
dictionary log_images.got_pose_dict = {'flag': False, 'pose_fail': False}
string log_images.help = 'publish over ROS'
int log_images.i = 0
tuple log_images.im = cam.get_frame_debayered()
tuple log_images.im_list = deque()
list log_images.im_name_list = [opt.single_fname for i in range(10)]
tuple log_images.image_pub = rospy.Publisher(topic_name, Image)
tuple log_images.imat_np
tuple log_images.intrinsic_cvmat = cvCreateMat(3,3,cv.CV_32FC1)
list log_images.intrinsic_list
tuple log_images.kp = cvWaitKey(1)
tuple log_images.l = glob.glob(opt.dir+'/handheld_pull_log*.pkl')
 log_images.log_images = False
tuple log_images.m
tuple log_images.n_images = len(im_name_list)
list log_images.name = im_name_list[i]
string log_images.nm = '/%05d.png'
tuple log_images.p = optparse.OptionParser()
list log_images.pkl_name = l[0]
tuple log_images.rosimage = bridge.cv_to_imgmsg(cv_im, "bgr8")
string log_images.save_dir = '/checker_fail/'
tuple log_images.size = (int(cp['calibration_image_width']), int(cp['calibration_image_height']))
tuple log_images.t0 = time.time()
tuple log_images.t1 = time.time()
tuple log_images.t_st = time.time()
tuple log_images.t_string = ut.formatted_time()
list log_images.time_list = [time.time() for i in range(10)]
tuple log_images.time_stamp = ut.formatted_time()
string log_images.topic_name = 'cvcamera_'
string log_images.topic_name_cb = '/checkerdetector/ObjectDetection'
string log_images.type = 'string'
tuple log_images.undistort_image = cvCreateImage(size, IPL_DEPTH_8U, 3)
tuple log_images.undistort_mapx = cvCreateImage(size, IPL_DEPTH_32F, 1)
tuple log_images.undistort_mapy = cvCreateImage(size, IPL_DEPTH_32F, 1)
string log_images.video_name = 'mechanism_video_'
tuple log_images.vwr
string log_images.wnd = 'Checker Fail Images'


2010_biorob_everyday_mechanics
Author(s): Advait Jain, Hai Nguyen, Charles C. Kemp (Healthcare Robotics Lab, Georgia Tech)
autogenerated on Wed Nov 27 2013 11:58:43