Go to the source code of this file.
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' |