load_video_info_depthFROMMAT

PURPOSE ^

LOAD_VIDEO_INFO_DEPTHFROMMAT.m is a automatically generates the relevant information for the video in the given path

SYNOPSIS ^

function [img_files, depth_files, pos, target_sz, ground_truth, video_path, depth_path] = load_video_info_depthFROMMAT(base_path, video,newOrder)

DESCRIPTION ^

 LOAD_VIDEO_INFO_DEPTHFROMMAT.m is a automatically generates the relevant information for the video in the given path

   LOAD_VIDEO_INFO_DEPTHFROMMAT loads all the relevant information for the
   sequence depth and video data in the given path for the Princeton RGB-D
   dataset [1]. This function have been created starting grom
   load_video_info of the KCF matlab library presented by Joao F.
   Henriques, in http://www.isr.uc.pt/~henriques/. A similar function need
   to be implemented if another dataset that uses another naming
   convention is processed. See for example LOAD_VIDEO_INFO_BOBOTRESULTS
   for the BOBOT-D dataset [2]

   INPUT:
  -base_path name of the top folder where sequences are stored
  -video name of the sequence that will be processed
  -newOrder boolean type to select the realigned frame order (see [3]) or
  the one proposed in [1]

   OUTPUT
  -img_files the list of Color data files (images in the folder are
  supposed to be *.png) 
  -depth_files the list of Depth data files (images in the folder are
  supposed to be  16 bit *.png)
  -pos initial DS-KCF tracker position pos=[y x] where x is the column
  index and y is the row index of the image
  -target_sz initial target size target_sz=[height,width]
  -ground_truth ground truth information
  -video_path  absolute path of color data
  -depth_path  absolute path of depth data

  See also LOAD_VIDEO_INFO_BOBOTRESULTS

 [1] S. Song and J. Xiao. Tracking revisited using RGBD camera: Unified
 benchmark and baselines. In Computer Vision (ICCV), 2013 IEEE
 International Conference on, pages 233–240, 2013.

  [2]Germán Martín García, Dominik A. Klein, Jörg Stückler, Simone
  Frintrop, and Armin B. Cremers DAGM/OAGM Conference, August 28-31, 2012,
  Graz, Austria


  University of Bristol
  Massimo Camplani and Sion Hannuna

  massimo.camplani@bristol.ac.uk
  hannuna@compsci.bristol.ac.uk

CROSS-REFERENCE INFORMATION ^

This function calls: This function is called by:

SOURCE CODE ^

0001 function [img_files, depth_files, pos, target_sz, ground_truth, video_path, depth_path] = load_video_info_depthFROMMAT(base_path, video,newOrder)
0002 % LOAD_VIDEO_INFO_DEPTHFROMMAT.m is a automatically generates the relevant information for the video in the given path
0003 %
0004 %   LOAD_VIDEO_INFO_DEPTHFROMMAT loads all the relevant information for the
0005 %   sequence depth and video data in the given path for the Princeton RGB-D
0006 %   dataset [1]. This function have been created starting grom
0007 %   load_video_info of the KCF matlab library presented by Joao F.
0008 %   Henriques, in http://www.isr.uc.pt/~henriques/. A similar function need
0009 %   to be implemented if another dataset that uses another naming
0010 %   convention is processed. See for example LOAD_VIDEO_INFO_BOBOTRESULTS
0011 %   for the BOBOT-D dataset [2]
0012 %
0013 %   INPUT:
0014 %  -base_path name of the top folder where sequences are stored
0015 %  -video name of the sequence that will be processed
0016 %  -newOrder boolean type to select the realigned frame order (see [3]) or
0017 %  the one proposed in [1]
0018 %
0019 %   OUTPUT
0020 %  -img_files the list of Color data files (images in the folder are
0021 %  supposed to be *.png)
0022 %  -depth_files the list of Depth data files (images in the folder are
0023 %  supposed to be  16 bit *.png)
0024 %  -pos initial DS-KCF tracker position pos=[y x] where x is the column
0025 %  index and y is the row index of the image
0026 %  -target_sz initial target size target_sz=[height,width]
0027 %  -ground_truth ground truth information
0028 %  -video_path  absolute path of color data
0029 %  -depth_path  absolute path of depth data
0030 %
0031 %  See also LOAD_VIDEO_INFO_BOBOTRESULTS
0032 %
0033 % [1] S. Song and J. Xiao. Tracking revisited using RGBD camera: Unified
0034 % benchmark and baselines. In Computer Vision (ICCV), 2013 IEEE
0035 % International Conference on, pages 233–240, 2013.
0036 %
0037 %  [2]Germán Martín García, Dominik A. Klein, Jörg Stückler, Simone
0038 %  Frintrop, and Armin B. Cremers DAGM/OAGM Conference, August 28-31, 2012,
0039 %  Graz, Austria
0040 %
0041 %
0042 %  University of Bristol
0043 %  Massimo Camplani and Sion Hannuna
0044 %
0045 %  massimo.camplani@bristol.ac.uk
0046 %  hannuna@compsci.bristol.ac.uk
0047 
0048 
0049 %full path to the video's files
0050 if base_path(end) ~= '/' && base_path(end) ~= '\',
0051     base_path(end+1) = '/';
0052 end
0053 video_path = [base_path video '/'];
0054 
0055 filename = [video_path 'init.txt'];
0056 f = fopen(filename);
0057 assert(f ~= -1, ['No initial position or ground truth to load ("' filename '").'])
0058 
0059 %the format is [x, y, width, height]
0060 try
0061     ground_truth = textscan(f, '%f,%f,%f,%f', 'ReturnOnError',false);
0062 catch  %#ok, try different format (no commas)
0063     frewind(f);
0064     ground_truth = textscan(f, '%f %f %f %f');
0065 end
0066 ground_truth = cat(2, ground_truth{:});
0067 fclose(f);
0068 
0069 
0070 
0071 %set initial position and size
0072 target_sz = [ground_truth(1,4), ground_truth(1,3)];
0073 pos = [ground_truth(1,2), ground_truth(1,1)] + floor(target_sz/2);
0074 
0075 if size(ground_truth,1) == 1,
0076     %we have ground truth for the first frame only (initial position)
0077     ground_truth = [];
0078 else
0079     %store positions instead of boxes
0080     ground_truth = ground_truth(:,[2,1]) + ground_truth(:,[4,3]) / 2;
0081 end
0082 
0083 if(newOrder==false)
0084     load([video_path 'frames'])
0085 else
0086     load([video_path 'framesNEW'])
0087     frames=framesNEW;
0088 end
0089 numOfFrames = frames.length;
0090 
0091 %from now on, work in the subfolder where all the images are
0092 
0093 
0094 depth_path = [video_path 'depth/'];
0095 video_path = [video_path 'rgb/'];
0096 
0097 %general case, just list all images
0098 img_files_ = dir([video_path '*.png']);
0099 assert(~isempty(img_files_), 'No image files to load.')
0100 
0101 depth_files_ = dir([depth_path '*.png']);
0102 assert(~isempty(depth_files_), 'No depth files to load.')
0103 
0104 
0105 
0106 
0107 
0108 for i = 1:numOfFrames
0109     img_files{i} = sprintf('r-%d-%d.png',frames.imageTimestamp(i), frames.imageFrameID(i));
0110     depth_files{i} = sprintf('d-%d-%d.png',frames.depthTimestamp(i), frames.depthFrameID(i));
0111     
0112 end
0113 
0114 
0115 end
0116

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