document updated, added simple base class for datasets and other minor changes

modules/datasetstools/doc/datasetstools.rst

@@ -14,12 +14,30 @@ Action Recognition
 ar_hmdb
 =======
 .. ocv:class:: ar_hmdb
-Implements loading dataset: `HMDB: A Large Human Motion Database <http://serre-lab.clps.brown.edu/resource/hmdb-a-large-human-motion-database/>`_
+Implements loading dataset:
+
+_`"HMDB: A Large Human Motion Database"`: http://serre-lab.clps.brown.edu/resource/hmdb-a-large-human-motion-database/
+
+.. note:: Usage
+
+ 1. From link above download dataset files: hmdb51_org.rar & test_train_splits.rar.
+
+ 2. Unpack them.
+
+ 3. To load data run: ./ar_hmdb -p=/home/user/path_to_unpacked_folders/
 
 ar_sports
 =========
 .. ocv:class:: ar_sports
-Implements loading dataset: `Sports-1M Dataset <http://cs.stanford.edu/people/karpathy/deepvideo/>`_
+Implements loading dataset:
+
+_`"Sports-1M Dataset"`: http://cs.stanford.edu/people/karpathy/deepvideo/
+
+.. note:: Usage
+
+ 1. From link above download dataset files (git clone https://code.google.com/p/sports-1m-dataset/).
+
+ 2. To load data run: ./ar_sports -p=/home/user/path_to_downloaded_folders/
 
 Face Recognition
 ----------------
@@ -27,7 +45,17 @@ Face Recognition
 fr_lfw
 ======
 .. ocv:class:: fr_lfw
-Implements loading dataset: `Labeled Faces in the Wild-a <http://www.openu.ac.il/home/hassner/data/lfwa/>`_
+Implements loading dataset:
+
+_`"Labeled Faces in the Wild-a"`: http://www.openu.ac.il/home/hassner/data/lfwa/
+
+.. note:: Usage
+
+ 1. From link above download dataset file: lfwa.tar.gz.
+
+ 2. Unpack it.
+
+ 3. To load data run: ./fr_lfw -p=/home/user/path_to_unpacked_folder/lfw2/
 
 Gesture Recognition
 -------------------
@@ -35,12 +63,32 @@ Gesture Recognition
 gr_chalearn
 ===========
 .. ocv:class:: gr_chalearn
-Implements loading dataset: `ChaLearn Looking at People <http://gesture.chalearn.org/>`_
+Implements loading dataset:
+
+_`"ChaLearn Looking at People"`: http://gesture.chalearn.org/
+
+.. note:: Usage
+
+ 1. Follow instruction from site above, download files for dataset "Track 3: Gesture Recognition": Train1.zip-Train5.zip, Validation1.zip-Validation3.zip (Register on site: www.codalab.org and accept the terms and conditions of competition: https://www.codalab.org/competitions/991#learn_the_details There are three mirrors for downloading dataset files. When I downloaded data only mirror: "Universitat Oberta de Catalunya" works).
+
+ 2. Unpack train archives Train1.zip-Train5.zip to one folder (currently loading validation files wasn't implemented)
+
+ 3. To load data run: ./gr_chalearn -p=/home/user/path_to_unpacked_folder/
 
 gr_skig
 =======
 .. ocv:class:: gr_skig
-Implements loading dataset: `Sheffield Kinect Gesture Dataset <http://lshao.staff.shef.ac.uk/data/SheffieldKinectGesture.htm>`_
+Implements loading dataset:
+
+_`"Sheffield Kinect Gesture Dataset"`: http://lshao.staff.shef.ac.uk/data/SheffieldKinectGesture.htm
+
+.. note:: Usage
+
+ 1. From link above download dataset files: subject1_dep.7z-subject6_dep.7z, subject1_rgb.7z-subject6_rgb.7z.
+
+ 2. Unpack them.
+
+ 3. To load data run: ./gr_skig -p=/home/user/path_to_unpacked_folders/
 
 Human Pose Estimation
 ---------------------
@@ -48,7 +96,17 @@ Human Pose Estimation
 hpe_parse
 =========
 .. ocv:class:: hpe_parse
-Implements loading dataset: `PARSE Dataset <http://www.ics.uci.edu/~dramanan/papers/parse/>`_
+Implements loading dataset:
+
+_`"PARSE Dataset"`: http://www.ics.uci.edu/~dramanan/papers/parse/
+
+.. note:: Usage
+
+ 1. From link above download dataset file: people.zip.
+
+ 2. Unpack it.
+
+ 3. To load data run: ./hpe_parse -p=/home/user/path_to_unpacked_folder/people_all/
 
 Image Registration
 ------------------
@@ -56,12 +114,31 @@ Image Registration
 ir_affine
 =========
 .. ocv:class:: ir_affine
-Implements loading dataset: `Affine Covariant Regions Datasets <http://www.robots.ox.ac.uk/~vgg/data/data-aff.html>`_
+Implements loading dataset:
+
+_`"Affine Covariant Regions Datasets"`: http://www.robots.ox.ac.uk/~vgg/data/data-aff.html
+
+.. note:: Usage
+
+ 1. From link above download dataset files: bark\\bikes\\boat\\graf\\leuven\\trees\\ubc\\wall.tar.gz.
+
+ 2. Unpack them.
+
+ 3. To load data, for example, for "bark", run: ./ir_affine -p=/home/user/path_to_unpacked_folder/bark/
 
 ir_robot
 ========
 .. ocv:class:: ir_robot
-Implements loading dataset: `Robot Data Set <http://roboimagedata.compute.dtu.dk/?page_id=24>`_
+Implements loading dataset:
+
+_`"Robot Data Set"`: http://roboimagedata.compute.dtu.dk/?page_id=24
+
+.. note:: Usage
+
+ 1. From link above download files for dataset "Point Feature Data Set – 2010": SET001_6.tar.gz-SET055_60.tar.gz (there are two data sets: - Full resolution images (1200×1600), ~500 Gb and - Half size image (600×800), ~115 Gb.)
+ 2. Unpack them to one folder.
+
+ 3. To load data run: ./ir_robot -p=/home/user/path_to_unpacked_folder/
 
 Image Segmentation
 ------------------
@@ -69,12 +146,32 @@ Image Segmentation
 is_bsds
 =======
 .. ocv:class:: is_bsds
-Implements loading dataset: `The Berkeley Segmentation Dataset and Benchmark <https://www.eecs.berkeley.edu/Research/Projects/CS/vision/bsds/>`_
+Implements loading dataset:
+
+_`"The Berkeley Segmentation Dataset and Benchmark"`: https://www.eecs.berkeley.edu/Research/Projects/CS/vision/bsds/
+
+.. note:: Usage
+
+ 1. From link above download dataset files: BSDS300-human.tgz & BSDS300-images.tgz.
+
+ 2. Unpack them.
+
+ 3. To load data run: ./is_bsds -p=/home/user/path_to_unpacked_folder/BSDS300/
 
 is_weizmann
 ===========
 .. ocv:class:: is_weizmann
-Implements loading dataset: `Weizmann Segmentation Evaluation Database <http://www.wisdom.weizmann.ac.il/~vision/Seg_Evaluation_DB/>`_
+Implements loading dataset:
+
+_`"Weizmann Segmentation Evaluation Database"`: http://www.wisdom.weizmann.ac.il/~vision/Seg_Evaluation_DB/
+
+.. note:: Usage
+
+ 1. From link above download dataset files: Weizmann_Seg_DB_1obj.ZIP & Weizmann_Seg_DB_2obj.ZIP.
+
+ 2. Unpack them.
+
+ 3. To load data, for example, for 1 object dataset, run: ./is_weizmann -p=/home/user/path_to_unpacked_folder/1obj/
 
 Multiview Stereo Matching
 -------------------------
@@ -82,12 +179,32 @@ Multiview Stereo Matching
 msm_epfl
 ========
 .. ocv:class:: msm_epfl
-Implements loading dataset: `EPFL Multi-View Stereo <http://cvlabwww.epfl.ch/~strecha/multiview/denseMVS.html>`_
+Implements loading dataset:
+
+_`"EPFL Multi-View Stereo"`: http://cvlabwww.epfl.ch/~strecha/multiview/denseMVS.html
+
+.. note:: Usage
+
+ 1. From link above download dataset files: castle_dense\\castle_dense_large\\castle_entry\\fountain\\herzjesu_dense\\herzjesu_dense_large_bounding\\cameras\\images\\p.tar.gz.
+
+ 2. Unpack them in separate folder for each object. For example, for "fountain", in folder fountain/ : fountain_dense_bounding.tar.gz -> bounding/, fountain_dense_cameras.tar.gz -> camera/, fountain_dense_images.tar.gz -> png/, fountain_dense_p.tar.gz -> P/
+
+ 3. To load data, for example, for "fountain", run: ./msm_epfl -p=/home/user/path_to_unpacked_folder/fountain/
 
 msm_middlebury
 ==============
 .. ocv:class:: msm_middlebury
-Implements loading dataset: `Stereo – Middlebury Computer Vision <http://vision.middlebury.edu/mview/>`_
+Implements loading dataset:
+
+_`"Stereo – Middlebury Computer Vision"`: http://vision.middlebury.edu/mview/
+
+.. note:: Usage
+
+ 1. From link above download dataset files: dino\\dinoRing\\dinoSparseRing\\temple\\templeRing\\templeSparseRing.zip
+
+ 2. Unpack them.
+
+ 3. To load data, for example "temple" dataset, run: ./msm_middlebury -p=/home/user/path_to_unpacked_folder/temple/
 
 Object Recognition
 ------------------
@@ -95,12 +212,36 @@ Object Recognition
 or_imagenet
 ===========
 .. ocv:class:: or_imagenet
-Implements loading dataset: `ImageNet <http://www.image-net.org/>`_
+Implements loading dataset:
+
+_`"ImageNet"`: http://www.image-net.org/
+
+Currently implemented loading full list with urls. Planned to implement dataset from ILSVRC challenge. 
+
+.. note:: Usage
+
+ 1. From link above download dataset file: imagenet_fall11_urls.tgz
+
+ 2. Unpack it.
+
+ 3. To load data run: ./or_imagenet -p=/home/user/path_to_unpacked_file/
 
 or_sun
 ======
 .. ocv:class:: or_sun
-Implements loading dataset: `SUN Database <http://sun.cs.princeton.edu/>`_
+Implements loading dataset:
+
+_`"SUN Database"`: http://sun.cs.princeton.edu/
+
+Currently implemented loading "Scene Recognition Benchmark. SUN397". Planned to implement also "Object Detection Benchmark. SUN2012". 
+
+.. note:: Usage
+
+ 1. From link above download dataset file: SUN397.tar
+
+ 2. Unpack it.
+
+ 3. To load data run: ./or_sun -p=/home/user/path_to_unpacked_folder/SUN397/
 
 SLAM
 ----
@@ -108,12 +249,32 @@ SLAM
 slam_kitti
 ==========
 .. ocv:class:: slam_kitti
-Implements loading dataset: `KITTI Vision Benchmark <http://www.cvlibs.net/datasets/kitti/eval_odometry.php>`_
+Implements loading dataset:
+
+_`"KITTI Vision Benchmark"`: http://www.cvlibs.net/datasets/kitti/eval_odometry.php
+
+.. note:: Usage
+
+ 1. From link above download "Odometry" dataset files: data_odometry_gray\\data_odometry_color\\data_odometry_velodyne\\data_odometry_poses\\data_odometry_calib.zip.
+
+ 2. Unpack data_odometry_poses.zip, it creates folder dataset/poses/. After that unpack data_odometry_gray.zip, data_odometry_color.zip, data_odometry_velodyne.zip. Folder dataset/sequences/ will be created with folders 00/..21/. Each of these folders will contain: image_0/, image_1/, image_2/, image_3/, velodyne/ and files calib.txt & times.txt. These two last files will be replaced after unpacking data_odometry_calib.zip at the end.
+
+ 3. To load data run: ./slam_kitti -p=/home/user/path_to_unpacked_folder/dataset/
 
 slam_tumindoor
 ==============
 .. ocv:class:: slam_tumindoor
-Implements loading dataset: `TUMindoor Dataset <http://www.navvis.lmt.ei.tum.de/dataset/>`_
+Implements loading dataset:
+
+_`"TUMindoor Dataset"`: http://www.navvis.lmt.ei.tum.de/dataset/
+
+.. note:: Usage
+
+ 1. From link above download dataset files: dslr\\info\\ladybug\\pointcloud.tar.bz2 for each dataset: 11-11-28 (1st floor)\\11-12-13 (1st floor N1)\\11-12-17a (4th floor)\\11-12-17b (3rd floor)\\11-12-17c (Ground I)\\11-12-18a (Ground II)\\11-12-18b (2nd floor)
+
+ 2. Unpack them in separate folder for each dataset. dslr.tar.bz2 -> dslr/, info.tar.bz2 -> info/, ladybug.tar.bz2 -> ladybug/, pointcloud.tar.bz2 -> pointcloud/.
+
+ 3. To load each dataset run: ./slam_tumindoor -p=/home/user/path_to_unpacked_folders/
 
 Text Recognition
 ----------------
@@ -121,10 +282,32 @@ Text Recognition
 tr_chars
 ========
 .. ocv:class:: tr_chars
-Implements loading dataset: `The Chars74K Dataset <http://www.ee.surrey.ac.uk/CVSSP/demos/chars74k/>`_
+Implements loading dataset:
+
+_`"The Chars74K Dataset"`: http://www.ee.surrey.ac.uk/CVSSP/demos/chars74k/
+
+.. note:: Usage
+
+ 1. From link above download dataset files: EnglishFnt\\EnglishHnd\\EnglishImg\\KannadaHnd\\KannadaImg.tgz, ListsTXT.tgz.
+
+ 2. Unpack them.
+
+ 3. Move *.m files from folder ListsTXT/ to appropriate folder. For example, English/list_English_Img.m for EnglishImg.tgz.
+
+ 4. To load data, for example "EnglishImg", run: ./tr_chars -p=/home/user/path_to_unpacked_folder/English/
 
 tr_svt
 ======
 .. ocv:class:: tr_svt
-Implements loading dataset: `The Street View Text Dataset <http://vision.ucsd.edu/~kai/svt/>`_
+Implements loading dataset:
+
+_`"The Street View Text Dataset"`: http://vision.ucsd.edu/~kai/svt/
+
+.. note:: Usage
+
+ 1. From link above download dataset file: svt.zip.
+
+ 2. Unpack it.
+
+ 3. To load data run: ./tr_svt -p=/home/user/path_to_unpacked_folder/svt/svt1/
 

modules/datasetstools/doc/html/_static/basic.css

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+            
+  <div class="section" id="datasetstools-tools-for-working-with-different-datasets">
+<h1>datasetstools. Tools for working with different datasets.<a class="headerlink" href="#datasetstools-tools-for-working-with-different-datasets" title="Permalink to this headline">¶</a></h1>
+<p>The datasetstools module includes classes for working with different datasets.</p>
+<p>First version of this module was implemented for <strong>Fall2014 OpenCV Challenge</strong>.</p>
+<div class="section" id="action-recognition">
+<h2>Action Recognition<a class="headerlink" href="#action-recognition" title="Permalink to this headline">¶</a></h2>
+<div class="section" id="ar-hmdb">
+<h3>ar_hmdb<a class="headerlink" href="#ar-hmdb" title="Permalink to this headline">¶</a></h3>
+<p>Implements loading dataset:</p>
+<p><span class="target" id="hmdb-a-large-human-motion-database">&#8220;HMDB: A Large Human Motion Database&#8221;</span>: <a class="reference external" href="http://serre-lab.clps.brown.edu/resource/hmdb-a-large-human-motion-database/">http://serre-lab.clps.brown.edu/resource/hmdb-a-large-human-motion-database/</a></p>
+<div class="admonition note">
+<p class="first admonition-title">Note</p>
+<p>Usage</p>
+<ol class="last arabic simple">
+<li>From link above download dataset files: hmdb51_org.rar &amp; test_train_splits.rar.</li>
+<li>Unpack them.</li>
+<li>To load data run: ./ar_hmdb -p=/home/user/path_to_unpacked_folders/</li>
+</ol>
+</div>
+</div>
+<div class="section" id="ar-sports">
+<h3>ar_sports<a class="headerlink" href="#ar-sports" title="Permalink to this headline">¶</a></h3>
+<p>Implements loading dataset:</p>
+<p><span class="target" id="sports-1m-dataset">&#8220;Sports-1M Dataset&#8221;</span>: <a class="reference external" href="http://cs.stanford.edu/people/karpathy/deepvideo/">http://cs.stanford.edu/people/karpathy/deepvideo/</a></p>
+<div class="admonition note">
+<p class="first admonition-title">Note</p>
+<p>Usage</p>
+<ol class="last arabic simple">
+<li>From link above download dataset files (git clone <a class="reference external" href="https://code.google.com/p/sports-1m-dataset/">https://code.google.com/p/sports-1m-dataset/</a>).</li>
+<li>To load data run: ./ar_sports -p=/home/user/path_to_downloaded_folders/</li>
+</ol>
+</div>
+</div>
+</div>
+<div class="section" id="face-recognition">
+<h2>Face Recognition<a class="headerlink" href="#face-recognition" title="Permalink to this headline">¶</a></h2>
+<div class="section" id="fr-lfw">
+<h3>fr_lfw<a class="headerlink" href="#fr-lfw" title="Permalink to this headline">¶</a></h3>
+<p>Implements loading dataset:</p>
+<p><span class="target" id="labeled-faces-in-the-wild-a">&#8220;Labeled Faces in the Wild-a&#8221;</span>: <a class="reference external" href="http://www.openu.ac.il/home/hassner/data/lfwa/">http://www.openu.ac.il/home/hassner/data/lfwa/</a></p>
+<div class="admonition note">
+<p class="first admonition-title">Note</p>
+<p>Usage</p>
+<ol class="last arabic simple">
+<li>From link above download dataset file: lfwa.tar.gz.</li>
+<li>Unpack it.</li>
+<li>To load data run: ./fr_lfw -p=/home/user/path_to_unpacked_folder/lfw2/</li>
+</ol>
+</div>
+</div>
+</div>
+<div class="section" id="gesture-recognition">
+<h2>Gesture Recognition<a class="headerlink" href="#gesture-recognition" title="Permalink to this headline">¶</a></h2>
+<div class="section" id="gr-chalearn">
+<h3>gr_chalearn<a class="headerlink" href="#gr-chalearn" title="Permalink to this headline">¶</a></h3>
+<p>Implements loading dataset:</p>
+<p><span class="target" id="chalearn-looking-at-people">&#8220;ChaLearn Looking at People&#8221;</span>: <a class="reference external" href="http://gesture.chalearn.org/">http://gesture.chalearn.org/</a></p>
+<div class="admonition note">
+<p class="first admonition-title">Note</p>
+<p>Usage</p>
+<ol class="last arabic simple">
+<li>Follow instruction from site above, download files for dataset &#8220;Track 3: Gesture Recognition&#8221;: Train1.zip-Train5.zip, Validation1.zip-Validation3.zip (Register on site: www.codalab.org and accept the terms and conditions of competition: <a class="reference external" href="https://www.codalab.org/competitions/991#learn_the_details">https://www.codalab.org/competitions/991#learn_the_details</a> There are three mirrors for downloading dataset files. When I downloaded data only mirror: &#8220;Universitat Oberta de Catalunya&#8221; works).</li>
+<li>Unpack train archives Train1.zip-Train5.zip to one folder (currently loading validation files wasn&#8217;t implemented)</li>
+<li>To load data run: ./gr_chalearn -p=/home/user/path_to_unpacked_folder/</li>
+</ol>
+</div>
+</div>
+<div class="section" id="gr-skig">
+<h3>gr_skig<a class="headerlink" href="#gr-skig" title="Permalink to this headline">¶</a></h3>
+<p>Implements loading dataset:</p>
+<p><span class="target" id="sheffield-kinect-gesture-dataset">&#8220;Sheffield Kinect Gesture Dataset&#8221;</span>: <a class="reference external" href="http://lshao.staff.shef.ac.uk/data/SheffieldKinectGesture.htm">http://lshao.staff.shef.ac.uk/data/SheffieldKinectGesture.htm</a></p>
+<div class="admonition note">
+<p class="first admonition-title">Note</p>
+<p>Usage</p>
+<ol class="last arabic simple">
+<li>From link above download dataset files: subject1_dep.7z-subject6_dep.7z, subject1_rgb.7z-subject6_rgb.7z.</li>
+<li>Unpack them.</li>
+<li>To load data run: ./gr_skig -p=/home/user/path_to_unpacked_folders/</li>
+</ol>
+</div>
+</div>
+</div>
+<div class="section" id="human-pose-estimation">
+<h2>Human Pose Estimation<a class="headerlink" href="#human-pose-estimation" title="Permalink to this headline">¶</a></h2>
+<div class="section" id="hpe-parse">
+<h3>hpe_parse<a class="headerlink" href="#hpe-parse" title="Permalink to this headline">¶</a></h3>
+<p>Implements loading dataset:</p>
+<p><span class="target" id="parse-dataset">&#8220;PARSE Dataset&#8221;</span>: <a class="reference external" href="http://www.ics.uci.edu/~dramanan/papers/parse/">http://www.ics.uci.edu/~dramanan/papers/parse/</a></p>
+<div class="admonition note">
+<p class="first admonition-title">Note</p>
+<p>Usage</p>
+<ol class="last arabic simple">
+<li>From link above download dataset file: people.zip.</li>
+<li>Unpack it.</li>
+<li>To load data run: ./hpe_parse -p=/home/user/path_to_unpacked_folder/people_all/</li>
+</ol>
+</div>
+</div>
+</div>
+<div class="section" id="image-registration">
+<h2>Image Registration<a class="headerlink" href="#image-registration" title="Permalink to this headline">¶</a></h2>
+<div class="section" id="ir-affine">
+<h3>ir_affine<a class="headerlink" href="#ir-affine" title="Permalink to this headline">¶</a></h3>
+<p>Implements loading dataset:</p>
+<p><span class="target" id="affine-covariant-regions-datasets">&#8220;Affine Covariant Regions Datasets&#8221;</span>: <a class="reference external" href="http://www.robots.ox.ac.uk/~vgg/data/data-aff.html">http://www.robots.ox.ac.uk/~vgg/data/data-aff.html</a></p>
+<div class="admonition note">
+<p class="first admonition-title">Note</p>
+<p>Usage</p>
+<ol class="last arabic simple">
+<li>From link above download dataset files: bark\bikes\boat\graf\leuven\trees\ubc\wall.tar.gz.</li>
+<li>Unpack them.</li>
+<li>To load data, for example, for &#8220;bark&#8221;, run: ./ir_affine -p=/home/user/path_to_unpacked_folder/bark/</li>
+</ol>
+</div>
+</div>
+<div class="section" id="ir-robot">
+<h3>ir_robot<a class="headerlink" href="#ir-robot" title="Permalink to this headline">¶</a></h3>
+<p>Implements loading dataset:</p>
+<p><span class="target" id="robot-data-set">&#8220;Robot Data Set&#8221;</span>: <a class="reference external" href="http://roboimagedata.compute.dtu.dk/?page_id=24">http://roboimagedata.compute.dtu.dk/?page_id=24</a></p>
+<div class="admonition note">
+<p class="first admonition-title">Note</p>
+<p>Usage</p>
+<ol class="last arabic simple">
+<li>From link above download files for dataset &#8220;Point Feature Data Set – 2010&#8221;: SET001_6.tar.gz-SET055_60.tar.gz (there are two data sets: - Full resolution images (1200×1600), ~500 Gb and - Half size image (600×800), ~115 Gb.)</li>
+<li>Unpack them to one folder.</li>
+<li>To load data run: ./ir_robot -p=/home/user/path_to_unpacked_folder/</li>
+</ol>
+</div>
+</div>
+</div>
+<div class="section" id="image-segmentation">
+<h2>Image Segmentation<a class="headerlink" href="#image-segmentation" title="Permalink to this headline">¶</a></h2>
+<div class="section" id="is-bsds">
+<h3>is_bsds<a class="headerlink" href="#is-bsds" title="Permalink to this headline">¶</a></h3>
+<p>Implements loading dataset:</p>
+<p><span class="target" id="the-berkeley-segmentation-dataset-and-benchmark">&#8220;The Berkeley Segmentation Dataset and Benchmark&#8221;</span>: <a class="reference external" href="https://www.eecs.berkeley.edu/Research/Projects/CS/vision/bsds/">https://www.eecs.berkeley.edu/Research/Projects/CS/vision/bsds/</a></p>
+<div class="admonition note">
+<p class="first admonition-title">Note</p>
+<p>Usage</p>
+<ol class="last arabic simple">
+<li>From link above download dataset files: BSDS300-human.tgz &amp; BSDS300-images.tgz.</li>
+<li>Unpack them.</li>
+<li>To load data run: ./is_bsds -p=/home/user/path_to_unpacked_folder/BSDS300/</li>
+</ol>
+</div>
+</div>
+<div class="section" id="is-weizmann">
+<h3>is_weizmann<a class="headerlink" href="#is-weizmann" title="Permalink to this headline">¶</a></h3>
+<p>Implements loading dataset:</p>
+<p><span class="target" id="weizmann-segmentation-evaluation-database">&#8220;Weizmann Segmentation Evaluation Database&#8221;</span>: <a class="reference external" href="http://www.wisdom.weizmann.ac.il/~vision/Seg_Evaluation_DB/">http://www.wisdom.weizmann.ac.il/~vision/Seg_Evaluation_DB/</a></p>
+<div class="admonition note">
+<p class="first admonition-title">Note</p>
+<p>Usage</p>
+<ol class="last arabic simple">
+<li>From link above download dataset files: Weizmann_Seg_DB_1obj.ZIP &amp; Weizmann_Seg_DB_2obj.ZIP.</li>
+<li>Unpack them.</li>
+<li>To load data, for example, for 1 object dataset, run: ./is_weizmann -p=/home/user/path_to_unpacked_folder/1obj/</li>
+</ol>
+</div>
+</div>
+</div>
+<div class="section" id="multiview-stereo-matching">
+<h2>Multiview Stereo Matching<a class="headerlink" href="#multiview-stereo-matching" title="Permalink to this headline">¶</a></h2>
+<div class="section" id="msm-epfl">
+<h3>msm_epfl<a class="headerlink" href="#msm-epfl" title="Permalink to this headline">¶</a></h3>
+<p>Implements loading dataset:</p>
+<p><span class="target" id="epfl-multi-view-stereo">&#8220;EPFL Multi-View Stereo&#8221;</span>: <a class="reference external" href="http://cvlabwww.epfl.ch/~strecha/multiview/denseMVS.html">http://cvlabwww.epfl.ch/~strecha/multiview/denseMVS.html</a></p>
+<div class="admonition note">
+<p class="first admonition-title">Note</p>
+<p>Usage</p>
+<ol class="last arabic simple">
+<li>From link above download dataset files: castle_dense\castle_dense_large\castle_entry\fountain\herzjesu_dense\herzjesu_dense_large_bounding\cameras\images\p.tar.gz.</li>
+<li>Unpack them in separate folder for each object. For example, for &#8220;fountain&#8221;, in folder fountain/ : fountain_dense_bounding.tar.gz -&gt; bounding/, fountain_dense_cameras.tar.gz -&gt; camera/, fountain_dense_images.tar.gz -&gt; png/, fountain_dense_p.tar.gz -&gt; P/</li>
+<li>To load data, for example, for &#8220;fountain&#8221;, run: ./msm_epfl -p=/home/user/path_to_unpacked_folder/fountain/</li>
+</ol>
+</div>
+</div>
+<div class="section" id="msm-middlebury">
+<h3>msm_middlebury<a class="headerlink" href="#msm-middlebury" title="Permalink to this headline">¶</a></h3>
+<p>Implements loading dataset:</p>
+<p><span class="target" id="stereo-middlebury-computer-vision">&#8220;Stereo – Middlebury Computer Vision&#8221;</span>: <a class="reference external" href="http://vision.middlebury.edu/mview/">http://vision.middlebury.edu/mview/</a></p>
+<div class="admonition note">
+<p class="first admonition-title">Note</p>
+<p>Usage</p>
+<ol class="last arabic simple">
+<li>From link above download dataset files: dino\dinoRing\dinoSparseRing\temple\templeRing\templeSparseRing.zip</li>
+<li>Unpack them.</li>
+<li>To load data, for example &#8220;temple&#8221; dataset, run: ./msm_middlebury -p=/home/user/path_to_unpacked_folder/temple/</li>
+</ol>
+</div>
+</div>
+</div>
+<div class="section" id="object-recognition">
+<h2>Object Recognition<a class="headerlink" href="#object-recognition" title="Permalink to this headline">¶</a></h2>
+<div class="section" id="or-imagenet">
+<h3>or_imagenet<a class="headerlink" href="#or-imagenet" title="Permalink to this headline">¶</a></h3>
+<p>Implements loading dataset:</p>
+<p><span class="target" id="imagenet">&#8220;ImageNet&#8221;</span>: <a class="reference external" href="http://www.image-net.org/">http://www.image-net.org/</a></p>
+<p>Currently implemented loading full list with urls. Planned to implement dataset from ILSVRC challenge.</p>
+<div class="admonition note">
+<p class="first admonition-title">Note</p>
+<p>Usage</p>
+<ol class="last arabic simple">
+<li>From link above download dataset file: imagenet_fall11_urls.tgz</li>
+<li>Unpack it.</li>
+<li>To load data run: ./or_imagenet -p=/home/user/path_to_unpacked_file/</li>
+</ol>
+</div>
+</div>
+<div class="section" id="or-sun">
+<h3>or_sun<a class="headerlink" href="#or-sun" title="Permalink to this headline">¶</a></h3>
+<p>Implements loading dataset:</p>
+<p><span class="target" id="sun-database">&#8220;SUN Database&#8221;</span>: <a class="reference external" href="http://sun.cs.princeton.edu/">http://sun.cs.princeton.edu/</a></p>
+<p>Currently implemented loading &#8220;Scene Recognition Benchmark. SUN397&#8221;. Planned to implement also &#8220;Object Detection Benchmark. SUN2012&#8221;.</p>
+<div class="admonition note">
+<p class="first admonition-title">Note</p>
+<p>Usage</p>
+<ol class="last arabic simple">
+<li>From link above download dataset file: SUN397.tar</li>
+<li>Unpack it.</li>
+<li>To load data run: ./or_sun -p=/home/user/path_to_unpacked_folder/SUN397/</li>
+</ol>
+</div>
+</div>
+</div>
+<div class="section" id="slam">
+<h2>SLAM<a class="headerlink" href="#slam" title="Permalink to this headline">¶</a></h2>
+<div class="section" id="slam-kitti">
+<h3>slam_kitti<a class="headerlink" href="#slam-kitti" title="Permalink to this headline">¶</a></h3>
+<p>Implements loading dataset:</p>
+<p><span class="target" id="kitti-vision-benchmark">&#8220;KITTI Vision Benchmark&#8221;</span>: <a class="reference external" href="http://www.cvlibs.net/datasets/kitti/eval_odometry.php">http://www.cvlibs.net/datasets/kitti/eval_odometry.php</a></p>
+<div class="admonition note">
+<p class="first admonition-title">Note</p>
+<p>Usage</p>
+<ol class="last arabic simple">
+<li>From link above download &#8220;Odometry&#8221; dataset files: data_odometry_gray\data_odometry_color\data_odometry_velodyne\data_odometry_poses\data_odometry_calib.zip.</li>
+<li>Unpack data_odometry_poses.zip, it creates folder dataset/poses/. After that unpack data_odometry_gray.zip, data_odometry_color.zip, data_odometry_velodyne.zip. Folder dataset/sequences/ will be created with folders 00/..21/. Each of these folders will contain: image_0/, image_1/, image_2/, image_3/, velodyne/ and files calib.txt &amp; times.txt. These two last files will be replaced after unpacking data_odometry_calib.zip at the end.</li>
+<li>To load data run: ./slam_kitti -p=/home/user/path_to_unpacked_folder/dataset/</li>
+</ol>
+</div>
+</div>
+<div class="section" id="slam-tumindoor">
+<h3>slam_tumindoor<a class="headerlink" href="#slam-tumindoor" title="Permalink to this headline">¶</a></h3>
+<p>Implements loading dataset:</p>
+<p><span class="target" id="tumindoor-dataset">&#8220;TUMindoor Dataset&#8221;</span>: <a class="reference external" href="http://www.navvis.lmt.ei.tum.de/dataset/">http://www.navvis.lmt.ei.tum.de/dataset/</a></p>
+<div class="admonition note">
+<p class="first admonition-title">Note</p>
+<p>Usage</p>
+<ol class="last arabic simple">
+<li>From link above download dataset files: dslr\info\ladybug\pointcloud.tar.bz2 for each dataset: 11-11-28 (1st floor)\11-12-13 (1st floor N1)\11-12-17a (4th floor)\11-12-17b (3rd floor)\11-12-17c (Ground I)\11-12-18a (Ground II)\11-12-18b (2nd floor)</li>
+<li>Unpack them in separate folder for each dataset. dslr.tar.bz2 -&gt; dslr/, info.tar.bz2 -&gt; info/, ladybug.tar.bz2 -&gt; ladybug/, pointcloud.tar.bz2 -&gt; pointcloud/.</li>
+<li>To load each dataset run: ./slam_tumindoor -p=/home/user/path_to_unpacked_folders/</li>
+</ol>
+</div>
+</div>
+</div>
+<div class="section" id="text-recognition">
+<h2>Text Recognition<a class="headerlink" href="#text-recognition" title="Permalink to this headline">¶</a></h2>
+<div class="section" id="tr-chars">
+<h3>tr_chars<a class="headerlink" href="#tr-chars" title="Permalink to this headline">¶</a></h3>
+<p>Implements loading dataset:</p>
+<p><span class="target" id="the-chars74k-dataset">&#8220;The Chars74K Dataset&#8221;</span>: <a class="reference external" href="http://www.ee.surrey.ac.uk/CVSSP/demos/chars74k/">http://www.ee.surrey.ac.uk/CVSSP/demos/chars74k/</a></p>
+<div class="admonition note">
+<p class="first admonition-title">Note</p>
+<p>Usage</p>
+<ol class="last arabic simple">
+<li>From link above download dataset files: EnglishFnt\EnglishHnd\EnglishImg\KannadaHnd\KannadaImg.tgz, ListsTXT.tgz.</li>
+<li>Unpack them.</li>
+<li>Move <a href="#id1"><span class="problematic" id="id2">*</span></a>.m files from folder ListsTXT/ to appropriate folder. For example, English/list_English_Img.m for EnglishImg.tgz.</li>
+<li>To load data, for example &#8220;EnglishImg&#8221;, run: ./tr_chars -p=/home/user/path_to_unpacked_folder/English/</li>
+</ol>
+</div>
+</div>
+<div class="section" id="tr-svt">
+<h3>tr_svt<a class="headerlink" href="#tr-svt" title="Permalink to this headline">¶</a></h3>
+<p>Implements loading dataset:</p>
+<p><span class="target" id="the-street-view-text-dataset">&#8220;The Street View Text Dataset&#8221;</span>: <a class="reference external" href="http://vision.ucsd.edu/~kai/svt/">http://vision.ucsd.edu/~kai/svt/</a></p>
+<div class="admonition note">
+<p class="first admonition-title">Note</p>
+<p>Usage</p>
+<ol class="last arabic simple">
+<li>From link above download dataset file: svt.zip.</li>
+<li>Unpack it.</li>
+<li>To load data run: ./tr_svt -p=/home/user/path_to_unpacked_folder/svt/svt1/</li>
+</ol>
+</div>
+</div>
+</div>
+</div>
+
+
+          </div>
+        </div>
+      </div>
+      <div class="sphinxsidebar">
+        <div class="sphinxsidebarwrapper">
+  <h3><a href="index.html">Table Of Contents</a></h3>
+  <ul>
+<li><a class="reference internal" href="#">datasetstools. Tools for working with different datasets.</a><ul>
+<li><a class="reference internal" href="#action-recognition">Action Recognition</a><ul>
+<li><a class="reference internal" href="#ar-hmdb">ar_hmdb</a></li>
+<li><a class="reference internal" href="#ar-sports">ar_sports</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#face-recognition">Face Recognition</a><ul>
+<li><a class="reference internal" href="#fr-lfw">fr_lfw</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#gesture-recognition">Gesture Recognition</a><ul>
+<li><a class="reference internal" href="#gr-chalearn">gr_chalearn</a></li>
+<li><a class="reference internal" href="#gr-skig">gr_skig</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#human-pose-estimation">Human Pose Estimation</a><ul>
+<li><a class="reference internal" href="#hpe-parse">hpe_parse</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#image-registration">Image Registration</a><ul>
+<li><a class="reference internal" href="#ir-affine">ir_affine</a></li>
+<li><a class="reference internal" href="#ir-robot">ir_robot</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#image-segmentation">Image Segmentation</a><ul>
+<li><a class="reference internal" href="#is-bsds">is_bsds</a></li>
+<li><a class="reference internal" href="#is-weizmann">is_weizmann</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#multiview-stereo-matching">Multiview Stereo Matching</a><ul>
+<li><a class="reference internal" href="#msm-epfl">msm_epfl</a></li>
+<li><a class="reference internal" href="#msm-middlebury">msm_middlebury</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#object-recognition">Object Recognition</a><ul>
+<li><a class="reference internal" href="#or-imagenet">or_imagenet</a></li>
+<li><a class="reference internal" href="#or-sun">or_sun</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#slam">SLAM</a><ul>
+<li><a class="reference internal" href="#slam-kitti">slam_kitti</a></li>
+<li><a class="reference internal" href="#slam-tumindoor">slam_tumindoor</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#text-recognition">Text Recognition</a><ul>
+<li><a class="reference internal" href="#tr-chars">tr_chars</a></li>
+<li><a class="reference internal" href="#tr-svt">tr_svt</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+
+  <h3>This Page</h3>
+  <ul class="this-page-menu">
+    <li><a href="_sources/datasetstools.txt"
+           rel="nofollow">Show Source</a></li>
+  </ul>
+<div id="searchbox" style="display: none">
+  <h3>Quick search</h3>
+    <form class="search" action="search.html" method="get">
+      <input type="text" name="q" />
+      <input type="submit" value="Go" />
+      <input type="hidden" name="check_keywords" value="yes" />
+      <input type="hidden" name="area" value="default" />
+    </form>
+    <p class="searchtip" style="font-size: 90%">
+    Enter search terms or a module, class or function name.
+    </p>
+</div>
+<script type="text/javascript">$('#searchbox').show(0);</script>
+        </div>
+      </div>
+      <div class="clearer"></div>
+    </div>
+    <div class="related">
+      <h3>Navigation</h3>
+      <ul>
+        <li class="right" style="margin-right: 10px">
+          <a href="genindex.html" title="General Index"
+             >index</a></li>
+        <li><a href="index.html">OpenCV datasetstools 3.0 documentation</a> &raquo;</li> 
+      </ul>
+    </div>
+    <div class="footer">
+        &copy; Copyright 2014, itseez.
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.2.2.
+    </div>
+  </body>
+</html>
\ No newline at end of file

modules/datasetstools/include/opencv2/ar_hmdb.h

@@ -45,22 +45,28 @@
 #include <string>
 #include <vector>
 
+#include "dataset.h"
+
 struct action
 {
     std::string name;
     std::vector<std::string> videoNames;
 };
 
-class ar_hmdb
+class ar_hmdb : public dataset
 {
 public:
     ar_hmdb() {}
-    ar_hmdb(std::string &path, unsigned int number);
+    ar_hmdb(std::string &path, unsigned int number = 0);
+    virtual ~ar_hmdb() {}
 
-    void loadDataset(std::string &path, unsigned int number);
+    virtual void load(std::string &path, unsigned int number = 0);
 
     std::vector<action> train;
     std::vector<action> test;
+
+private:
+    void loadDataset(std::string &path, unsigned int number = 0);
 };
 
 #endif

modules/datasetstools/include/opencv2/ar_sports.h

@@ -45,22 +45,28 @@
 #include <string>
 #include <vector>
 
+#include "dataset.h"
+
 struct element
 {
     std::string videoUrl;
     std::vector<unsigned int> labels;
 };
 
-class ar_sports
+class ar_sports : public dataset
 {
 public:
     ar_sports() {}
     ar_sports(std::string &path);
+    virtual ~ar_sports() {}
 
-    void loadDataset(std::string &path);
+    virtual void load(std::string &path, unsigned int number = 0);
 
     std::vector<element> train;
     std::vector<element> test;
+
+private:
+    void loadDataset(std::string &path);
 };
 
 #endif

modules/datasetstools/include/opencv2/dataset.h

+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2014, Itseez Inc, all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's in binary form must reproduce the above copyright notice,
+//     this list of conditions and the following disclaimer in the documentation
+//     and/or other materials provided with the distribution.
+//
+//   * The name of the copyright holders may not be used to endorse or promote products
+//     derived from this software without specific prior written permission.
+//
+// This software is provided by the copyright holders and contributors "as is" and
+// any express or implied warranties, including, but not limited to, the implied
+// warranties of merchantability and fitness for a particular purpose are disclaimed.
+// In no event shall the Itseez Inc or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#ifndef DATASET_H
+#define DATASET_H
+
+#include <string>
+
+class dataset
+{
+public:
+    dataset() {}
+    virtual ~dataset() {}
+
+    virtual void load(std::string &path, unsigned int number = 0) = 0;
+};
+
+#endif

modules/datasetstools/include/opencv2/fr_lfw.h

@@ -45,21 +45,27 @@
 #include <string>
 #include <vector>
 
+#include "dataset.h"
+
 struct face
 {
     std::string name;
     std::vector<std::string> images;
 };
 
-class fr_lfw
+class fr_lfw : public dataset
 {
 public:
     fr_lfw() {}
     fr_lfw(std::string &path);
+    virtual ~fr_lfw() {}
 
-    void loadDataset(std::string &path);
+    virtual void load(std::string &path, unsigned int number = 0);
 
     std::vector<face> train;
+
+private:
+    void loadDataset(std::string &path);
 };
 
 #endif

modules/datasetstools/include/opencv2/gr_chalearn.h

@@ -45,6 +45,8 @@
 #include <string>
 #include <vector>
 
+#include "dataset.h"
+
 struct groundTruth
 {
     unsigned int gestureID, initialFrame, lastFrame;
@@ -68,15 +70,19 @@ struct gesture
     std::vector<skeleton> skeletons;
 };
 
-class gr_chalearn
+class gr_chalearn : public dataset
 {
 public:
     gr_chalearn() {}
     gr_chalearn(std::string &path);
+    virtual ~gr_chalearn() {}
 
-    void loadDataset(std::string &path);
+    virtual void load(std::string &path, unsigned int number = 0);
 
     std::vector<gesture> train;
+
+private:
+    void loadDataset(std::string &path);
 };
 
 #endif

modules/datasetstools/include/opencv2/gr_skig.h

@@ -45,6 +45,8 @@
 #include <string>
 #include <vector>
 
+#include "dataset.h"
+
 struct gesture
 {
     std::string rgb;
@@ -52,15 +54,19 @@ struct gesture
     unsigned char person, background, illumination, pose, actionType;
 };
 
-class gr_skig
+class gr_skig : public dataset
 {
 public:
     gr_skig() {}
     gr_skig(std::string &path);
+    virtual ~gr_skig() {}
 
-    void loadDataset(std::string &path);
+    virtual void load(std::string &path, unsigned int number = 0);
 
     std::vector<gesture> train;
+
+private:
+    void loadDataset(std::string &path);
 };
 
 #endif

modules/datasetstools/include/opencv2/hpe_parse.h

@@ -45,16 +45,22 @@
 #include <string>
 #include <vector>
 
-class hpe_parse
+#include "dataset.h"
+
+class hpe_parse : public dataset
 {
 public:
     hpe_parse() {}
     hpe_parse(std::string &path);
+    virtual ~hpe_parse() {}
 
-    void loadDataset(std::string &path);
+    virtual void load(std::string &path, unsigned int number = 0);
 
     std::vector<std::string> train;
     std::vector<std::string> test;
+
+private:
+    void loadDataset(std::string &path);
 };
 
 #endif

modules/datasetstools/include/opencv2/ir_affine.h

@@ -45,21 +45,27 @@
 #include <string>
 #include <vector>
 
+#include "dataset.h"
+
 struct imageParams
 {
     std::string imageName;
     double mat[3][3];
 };
 
-class ir_affine
+class ir_affine : public dataset
 {
 public:
     ir_affine() {}
     ir_affine(std::string &path);
+    virtual ~ir_affine() {}
 
-    void loadDataset(std::string &path);
+    virtual void load(std::string &path, unsigned int number = 0);
 
     std::vector<imageParams> train;
+
+private:
+    void loadDataset(std::string &path);
 };
 
 #endif

modules/datasetstools/include/opencv2/ir_robot.h

@@ -45,6 +45,8 @@
 #include <string>
 #include <vector>
 
+#include "dataset.h"
+
 // calibration matrix from calibrationFile.mat
 // 2.8290e+03   0.0000e+00   8.0279e+02
 // 0.0000e+00   2.8285e+03   6.1618e+02
@@ -56,15 +58,19 @@ struct scene
     std::vector<std::string> images; // TODO: implement more complex structure
 };
 
-class ir_robot
+class ir_robot : public dataset
 {
 public:
     ir_robot() {}
     ir_robot(std::string &path);
+    virtual ~ir_robot() {}
 
-    void loadDataset(std::string &path);
+    virtual void load(std::string &path, unsigned int number = 0);
 
     std::vector<scene> train;
+
+private:
+    void loadDataset(std::string &path);
 };
 
 #endif

modules/datasetstools/include/opencv2/is_bsds.h

@@ -45,16 +45,22 @@
 #include <string>
 #include <vector>
 
-class is_bsds
+#include "dataset.h"
+
+class is_bsds : public dataset
 {
 public:
     is_bsds() {}
     is_bsds(std::string &path);
+    virtual ~is_bsds() {}
 
-    void loadDataset(std::string &path);
+    virtual void load(std::string &path, unsigned int number = 0);
 
     std::vector<std::string> train;
     std::vector<std::string> test;
+
+private:
+    void loadDataset(std::string &path);
 };
 
 #endif

modules/datasetstools/include/opencv2/is_weizmann.h

@@ -45,6 +45,8 @@
 #include <string>
 #include <vector>
 
+#include "dataset.h"
+
 struct object
 {
     std::string imageName;
@@ -53,15 +55,19 @@ struct object
     std::string humanSeg; // TODO: read human segmented
 };
 
-class is_weizmann
+class is_weizmann : public dataset
 {
 public:
     is_weizmann() {}
     is_weizmann(std::string &path);
+    virtual ~is_weizmann() {}
 
-    void loadDataset(std::string &path);
+    virtual void load(std::string &path, unsigned int number = 0);
 
     std::vector<object> train;
+
+private:
+    void loadDataset(std::string &path);
 };
 
 #endif

modules/datasetstools/include/opencv2/msm_epfl.h

@@ -45,21 +45,27 @@
 #include <string>
 #include <vector>
 
+#include "dataset.h"
+
 struct object
 {
     std::string imageName;
     std::vector<double> bounding, camera, p; // TODO: implement better structures
 };
 
-class msm_epfl
+class msm_epfl : public dataset
 {
 public:
     msm_epfl() {}
     msm_epfl(std::string &path);
+    virtual ~msm_epfl() {}
 
-    void loadDataset(std::string &path);
+    virtual void load(std::string &path, unsigned int number = 0);
 
     std::vector<object> train;
+
+private:
+    void loadDataset(std::string &path);
 };
 
 #endif

modules/datasetstools/include/opencv2/msm_middlebury.h

@@ -45,6 +45,8 @@
 #include <string>
 #include <vector>
 
+#include "dataset.h"
+
 struct cameraParam
 {
     std::string imageName;
@@ -53,15 +55,19 @@ struct cameraParam
     double t[3];
 };
 
-class msm_middlebury
+class msm_middlebury : public dataset
 {
 public:
     msm_middlebury() {}
     msm_middlebury(std::string &path);
+    virtual ~msm_middlebury() {}
 
-    void loadDataset(std::string &path);
+    virtual void load(std::string &path, unsigned int number = 0);
 
     std::vector<cameraParam> train;
+
+private:
+    void loadDataset(std::string &path);
 };
 
 #endif

modules/datasetstools/include/opencv2/or_imagenet.h

@@ -46,6 +46,8 @@
 #include <vector>
 #include <set>
 
+#include "dataset.h"
+
 struct object
 {
     std::string wnid; // TODO: string -> unsigned int
@@ -53,16 +55,20 @@ struct object
     std::string imageUrl;
 };
 
-class or_imagenet
+class or_imagenet : public dataset
 {
 public:
     or_imagenet() {}
-    or_imagenet(std::string &fileName);
+    or_imagenet(std::string &path);
+    virtual ~or_imagenet() {}
 
-    void loadDataset(std::string &fileName);
+    virtual void load(std::string &path, unsigned int number = 0);
 
     std::vector<object> train;
     std::set<std::string> wnids;
+
+private:
+    void loadDataset(std::string &path);
 };
 
 #endif

modules/datasetstools/include/opencv2/or_sun.h

@@ -45,21 +45,27 @@
 #include <string>
 #include <vector>
 
+#include "dataset.h"
+
 struct object
 {
     std::string name;
     std::vector<std::string> imageNames;
 };
 
-class or_sun
+class or_sun : public dataset
 {
 public:
     or_sun() {}
     or_sun(std::string &path);
+    virtual ~or_sun() {}
 
-    void loadDataset(std::string &path);
+    virtual void load(std::string &path, unsigned int number = 0);
 
     std::vector<object> train;
+
+private:
+    void loadDataset(std::string &path);
 };
 
 #endif

modules/datasetstools/include/opencv2/slam_kitti.h

@@ -45,6 +45,8 @@
 #include <string>
 #include <vector>
 
+#include "dataset.h"
+
 struct pose
 {
     double elem[12];
@@ -59,15 +61,19 @@ struct sequence
     std::vector<pose> posesArray;
 };
 
-class slam_kitti
+class slam_kitti : public dataset
 {
 public:
     slam_kitti() {}
     slam_kitti(std::string &path);
+    virtual ~slam_kitti() {}
 
-    void loadDataset(std::string &path);
+    virtual void load(std::string &path, unsigned int number = 0);
 
     std::vector<sequence> train;
+
+private:
+    void loadDataset(std::string &path);
 };
 
 #endif

modules/datasetstools/include/opencv2/slam_tumindoor.h

@@ -45,6 +45,8 @@
 #include <string>
 #include <vector>
 
+#include "dataset.h"
+
 enum imageType
 {
     LEFT = 0,
@@ -59,15 +61,19 @@ struct imageInfo
     imageType type;
 };
 
-class slam_tumindoor
+class slam_tumindoor : public dataset
 {
 public:
     slam_tumindoor() {}
     slam_tumindoor(std::string &path);
+    virtual ~slam_tumindoor() {}
 
-    void loadDataset(std::string &path);
+    virtual void load(std::string &path, unsigned int number = 0);
 
     std::vector<imageInfo> train;
+
+private:
+    void loadDataset(std::string &path);
 };
 
 #endif

modules/datasetstools/include/opencv2/tr_chars.h

@@ -45,22 +45,28 @@
 #include <string>
 #include <vector>
 
+#include "dataset.h"
+
 struct character
 {
     std::string imgName;
     unsigned int label;
 };
 
-class tr_chars
+class tr_chars : public dataset
 {
 public:
     tr_chars() {}
-    tr_chars(std::string &path, unsigned int number);
+    tr_chars(std::string &path, unsigned int number = 0);
+    virtual ~tr_chars() {}
 
-    void loadDataset(std::string &path, unsigned int number);
+    virtual void load(std::string &path, unsigned int number = 0);
 
     std::vector<character> train;
     std::vector<character> test;
+
+private:
+    void loadDataset(std::string &path, unsigned int number = 0);
 };
 
 #endif

modules/datasetstools/include/opencv2/tr_svt.h

@@ -45,6 +45,8 @@
 #include <string>
 #include <vector>
 
+#include "dataset.h"
+
 struct tag
 {
     std::string value;
@@ -58,16 +60,20 @@ struct image
     std::vector<tag> tags;
 };
 
-class tr_svt
+class tr_svt : public dataset
 {
 public:
     tr_svt() {}
     tr_svt(std::string &path);
+    virtual ~tr_svt() {}
 
-    void loadDataset(std::string &path);
+    virtual void load(std::string &path, unsigned int number = 0);
 
     std::vector<image> train;
     std::vector<image> test;
+
+private:
+    void loadDataset(std::string &path);
 };
 
 #endif

modules/datasetstools/samples/ar_hmdb.cpp

@@ -39,15 +39,14 @@
 //
 //M*/
 
-#include <opencv2/ar_hmdb.h>
+#include "opencv2/ar_hmdb.h"
+#include <opencv2/core.hpp>
 
 #include <cstdio>
 
 #include <string>
 #include <vector>
 
-#include <opencv2/core/core.hpp>
-
 using namespace std;
 
 int main(int argc, char *argv[])
@@ -66,7 +65,7 @@ int main(int argc, char *argv[])
     ar_hmdb dataset[3];
     for (unsigned int i=0; i<3; ++i)
     {
-        dataset[i].loadDataset(path, i+1);
+        dataset[i].load(path, i);
     }
 
     // ***************

modules/datasetstools/samples/ar_sports.cpp

@@ -39,7 +39,8 @@
 //
 //M*/
 
-#include <opencv2/ar_sports.h>
+#include "opencv2/ar_sports.h"
+#include <opencv2/core.hpp>
 
 #include <cstdio>
 #include <cstdlib> // atoi
@@ -47,8 +48,6 @@
 #include <string>
 #include <vector>
 
-#include <opencv2/core/core.hpp>
-
 using namespace std;
 
 int main(int argc, char *argv[])

modules/datasetstools/samples/fr_lfw.cpp

@@ -39,15 +39,14 @@
 //
 //M*/
 
-#include <opencv2/fr_lfw.h>
+#include "opencv2/fr_lfw.h"
+#include <opencv2/core.hpp>
 
 #include <cstdio>
 
 #include <string>
 #include <vector>
 
-#include <opencv2/core/core.hpp>
-
 using namespace std;
 
 int main(int argc, char *argv[])

modules/datasetstools/samples/gr_chalearn.cpp

@@ -39,15 +39,14 @@
 //
 //M*/
 
-#include <opencv2/gr_chalearn.h>
+#include "opencv2/gr_chalearn.h"
+#include <opencv2/core.hpp>
 
 #include <cstdio>
 
 #include <string>
 #include <vector>
 
-#include <opencv2/core/core.hpp>
-
 using namespace std;
 
 int main(int argc, char *argv[])

modules/datasetstools/samples/gr_skig.cpp

@@ -39,7 +39,8 @@
 //
 //M*/
 
-#include <opencv2/gr_skig.h>
+#include "opencv2/gr_skig.h"
+#include <opencv2/core.hpp>
 
 #include <cstdio>
 #include <cstdlib> // atoi
@@ -47,8 +48,6 @@
 #include <string>
 #include <vector>
 
-#include <opencv2/core/core.hpp>
-
 using namespace std;
 
 int main(int argc, char *argv[])

modules/datasetstools/samples/hpe_parse.cpp

@@ -39,15 +39,14 @@
 //
 //M*/
 
-#include <opencv2/hpe_parse.h>
+#include "opencv2/hpe_parse.h"
+#include <opencv2/core.hpp>
 
 #include <cstdio>
 
 #include <string>
 #include <vector>
 
-#include <opencv2/core/core.hpp>
-
 using namespace std;
 
 int main(int argc, char *argv[])

modules/datasetstools/samples/ir_affine.cpp

@@ -39,7 +39,8 @@
 //
 //M*/
 
-#include <opencv2/ir_affine.h>
+#include "opencv2/ir_affine.h"
+#include <opencv2/core.hpp>
 
 #include <cstdio>
 #include <cstdlib> // atoi
@@ -47,8 +48,6 @@
 #include <string>
 #include <vector>
 
-#include <opencv2/core/core.hpp>
-
 using namespace std;
 
 int main(int argc, char *argv[])

modules/datasetstools/samples/ir_robot.cpp

@@ -39,15 +39,14 @@
 //
 //M*/
 
-#include <opencv2/ir_robot.h>
+#include "opencv2/ir_robot.h"
+#include <opencv2/core.hpp>
 
 #include <cstdio>
 
 #include <string>
 #include <vector>
 
-#include <opencv2/core/core.hpp>
-
 using namespace std;
 
 int main(int argc, char *argv[])

modules/datasetstools/samples/is_bsds.cpp

@@ -39,15 +39,14 @@
 //
 //M*/
 
-#include <opencv2/is_bsds.h>
+#include "opencv2/is_bsds.h"
+#include <opencv2/core.hpp>
 
 #include <cstdio>
 
 #include <string>
 #include <vector>
 
-#include <opencv2/core/core.hpp>
-
 using namespace std;
 
 int main(int argc, char *argv[])

modules/datasetstools/samples/is_weizmann.cpp

@@ -39,15 +39,14 @@
 //
 //M*/
 
-#include <opencv2/is_weizmann.h>
+#include "opencv2/is_weizmann.h"
+#include <opencv2/core.hpp>
 
 #include <cstdio>
 
 #include <string>
 #include <vector>
 
-#include <opencv2/core/core.hpp>
-
 using namespace std;
 
 int main(int argc, char *argv[])

modules/datasetstools/samples/msm_epfl.cpp

@@ -39,15 +39,14 @@
 //
 //M*/
 
-#include <opencv2/msm_epfl.h>
+#include "opencv2/msm_epfl.h"
+#include <opencv2/core.hpp>
 
 #include <cstdio>
 
 #include <string>
 #include <vector>
 
-#include <opencv2/core/core.hpp>
-
 using namespace std;
 
 int main(int argc, char *argv[])

modules/datasetstools/samples/msm_middlebury.cpp

@@ -39,15 +39,14 @@
 //
 //M*/
 
-#include <opencv2/msm_middlebury.h>
+#include "opencv2/msm_middlebury.h"
+#include <opencv2/core.hpp>
 
 #include <cstdio>
 
 #include <string>
 #include <vector>
 
-#include <opencv2/core/core.hpp>
-
 using namespace std;
 
 int main(int argc, char *argv[])

modules/datasetstools/samples/or_imagenet.cpp

@@ -39,7 +39,8 @@
 //
 //M*/
 
-#include <opencv2/or_imagenet.h>
+#include "opencv2/or_imagenet.h"
+#include <opencv2/core.hpp>
 
 #include <cstdio>
 #include <cstdlib> // atoi
@@ -48,8 +49,6 @@
 #include <vector>
 #include <set>
 
-#include <opencv2/core/core.hpp>
-
 using namespace std;
 
 int main(int argc, char *argv[])

modules/datasetstools/samples/or_sun.cpp

@@ -39,15 +39,14 @@
 //
 //M*/
 
-#include <opencv2/or_sun.h>
+#include "opencv2/or_sun.h"
+#include <opencv2/core.hpp>
 
 #include <cstdio>
 
 #include <string>
 #include <vector>
 
-#include <opencv2/core/core.hpp>
-
 using namespace std;
 
 int main(int argc, char *argv[])

modules/datasetstools/samples/slam_kitti.cpp

@@ -39,15 +39,14 @@
 //
 //M*/
 
-#include <opencv2/slam_kitti.h>
+#include "opencv2/slam_kitti.h"
+#include <opencv2/core.hpp>
 
 #include <cstdio>
 
 #include <string>
 #include <vector>
 
-#include <opencv2/core/core.hpp>
-
 using namespace std;
 
 int main(int argc, char *argv[])

modules/datasetstools/samples/slam_tumindoor.cpp

@@ -39,15 +39,14 @@
 //
 //M*/
 
-#include <opencv2/slam_tumindoor.h>
+#include "opencv2/slam_tumindoor.h"
+#include <opencv2/core.hpp>
 
 #include <cstdio>
 
 #include <string>
 #include <vector>
 
-#include <opencv2/core/core.hpp>
-
 using namespace std;
 
 int main(int argc, char *argv[])

modules/datasetstools/samples/tr_chars.cpp

@@ -39,7 +39,8 @@
 //
 //M*/
 
-#include <opencv2/tr_chars.h>
+#include "opencv2/tr_chars.h"
+#include <opencv2/core.hpp>
 
 #include <cstdio>
 #include <cstdlib> // atoi
@@ -47,8 +48,6 @@
 #include <string>
 #include <vector>
 
-#include <opencv2/core/core.hpp>
-
 using namespace std;
 
 int main(int argc, char *argv[])
@@ -70,7 +69,7 @@ int main(int argc, char *argv[])
         tr_chars curr;
         dataset.push_back(curr);
 
-        dataset.back().loadDataset(path, dataset.size()-1);
+        dataset.back().load(path, dataset.size()-1);
     } while (dataset.back().train.size()>0);
     dataset.pop_back(); // remove last empty split
 

modules/datasetstools/samples/tr_svt.cpp

@@ -39,7 +39,8 @@
 //
 //M*/
 
-#include <opencv2/tr_svt.h>
+#include "opencv2/tr_svt.h"
+#include <opencv2/core.hpp>
 
 #include <cstdio>
 #include <cstdlib> // atoi
@@ -47,8 +48,6 @@
 #include <string>
 #include <vector>
 
-#include <opencv2/core/core.hpp>
-
 using namespace std;
 
 int main(int argc, char *argv[])

modules/datasetstools/src/ar_hmdb.cpp

@@ -70,10 +70,15 @@ ar_hmdb::ar_hmdb(string &path, unsigned int number)
     loadDataset(path, number);
 }
 
+void ar_hmdb::load(string &path, unsigned int number)
+{
+    loadDataset(path, number);
+}
+
 void ar_hmdb::loadDataset(string &path, unsigned int number)
 {
-    // valid number [1,2,3]
-    if (number<1 || number>3)
+    // valid number [0,1,2]
+    if (number>2)
     {
         return;
     }
@@ -92,7 +97,7 @@ void ar_hmdb::loadDataset(string &path, unsigned int number)
         test.push_back(curr);
 
         char tmp[2];
-        sprintf(tmp, "%u", number);
+        sprintf(tmp, "%u", number+1);
         string fileName(pathSplit + curr.name + "_test_split" + tmp + ".txt");
         loadAction(fileName, train.back().videoNames, test.back().videoNames);
     }

modules/datasetstools/src/ar_sports.cpp

@@ -74,6 +74,11 @@ ar_sports::ar_sports(string &path)
     loadDataset(path);
 }
 
+void ar_sports::load(string &path, unsigned int number)
+{
+    loadDataset(path);
+}
+
 void ar_sports::loadDataset(string &path)
 {
     string trainPath(path + "original/train_partition.txt");

modules/datasetstools/src/fr_lfw.cpp

@@ -53,6 +53,11 @@ fr_lfw::fr_lfw(std::string &path)
     loadDataset(path);
 }
 
+void fr_lfw::load(string &path, unsigned int number)
+{
+    loadDataset(path);
+}
+
 void fr_lfw::loadDataset(string &path)
 {
     vector<string> fileNames;

modules/datasetstools/src/gr_chalearn.cpp

@@ -54,6 +54,11 @@ gr_chalearn::gr_chalearn(std::string &path)
     loadDataset(path);
 }
 
+void gr_chalearn::load(string &path, unsigned int number)
+{
+    loadDataset(path);
+}
+
 void gr_chalearn::loadDataset(string &path)
 {
     vector<string> fileNames;

modules/datasetstools/src/gr_skig.cpp

@@ -55,6 +55,11 @@ gr_skig::gr_skig(std::string &path)
     loadDataset(path);
 }
 
+void gr_skig::load(string &path, unsigned int number)
+{
+    loadDataset(path);
+}
+
 void gr_skig::loadDataset(string &path)
 {
     for (unsigned int i=1; i<=6; ++i)

modules/datasetstools/src/hpe_parse.cpp

@@ -53,6 +53,11 @@ hpe_parse::hpe_parse(std::string &path)
     loadDataset(path);
 }
 
+void hpe_parse::load(string &path, unsigned int number)
+{
+    loadDataset(path);
+}
+
 void hpe_parse::loadDataset(string &path)
 {
     unsigned int i=0;

modules/datasetstools/src/ir_affine.cpp

@@ -53,6 +53,11 @@ ir_affine::ir_affine(std::string &path)
     loadDataset(path);
 }
 
+void ir_affine::load(string &path, unsigned int number)
+{
+    loadDataset(path);
+}
+
 void ir_affine::loadDataset(string &path)
 {
     for (unsigned int i=1; i<=6; ++i)

modules/datasetstools/src/ir_robot.cpp

@@ -53,6 +53,11 @@ ir_robot::ir_robot(std::string &path)
     loadDataset(path);
 }
 
+void ir_robot::load(string &path, unsigned int number)
+{
+    loadDataset(path);
+}
+
 void ir_robot::loadDataset(string &path)
 {
     vector<string> fileNames;

modules/datasetstools/src/is_bsds.cpp

@@ -62,6 +62,11 @@ is_bsds::is_bsds(std::string &path)
     loadDataset(path);
 }
 
+void is_bsds::load(string &path, unsigned int number)
+{
+    loadDataset(path);
+}
+
 void is_bsds::loadDataset(string &path)
 {
     string trainName(path + "iids_train.txt");

modules/datasetstools/src/is_weizmann.cpp

@@ -53,6 +53,11 @@ is_weizmann::is_weizmann(std::string &path)
     loadDataset(path);
 }
 
+void is_weizmann::load(string &path, unsigned int number)
+{
+    loadDataset(path);
+}
+
 void is_weizmann::loadDataset(string &path)
 {
     vector<string> fileNames;

modules/datasetstools/src/msm_epfl.cpp

@@ -63,6 +63,11 @@ msm_epfl::msm_epfl(std::string &path)
     loadDataset(path);
 }
 
+void msm_epfl::load(string &path, unsigned int number)
+{
+    loadDataset(path);
+}
+
 void msm_epfl::loadDataset(string &path)
 {
     string pathBounding(path + "bounding/");

modules/datasetstools/src/msm_middlebury.cpp

@@ -52,6 +52,11 @@ msm_middlebury::msm_middlebury(std::string &path)
     loadDataset(path);
 }
 
+void msm_middlebury::load(string &path, unsigned int number)
+{
+    loadDataset(path);
+}
+
 void msm_middlebury::loadDataset(string &path)
 {
     string name(path.substr(0, path.length()-1));

modules/datasetstools/src/or_imagenet.cpp

@@ -49,14 +49,19 @@
 
 using namespace std;
 
-or_imagenet::or_imagenet(std::string &fileName)
+or_imagenet::or_imagenet(std::string &path)
 {
-    loadDataset(fileName);
+    loadDataset(path);
 }
 
-void or_imagenet::loadDataset(string &fileName)
+void or_imagenet::load(string &path, unsigned int number)
 {
-    ifstream infile((fileName + "fall11_urls.txt").c_str());
+    loadDataset(path);
+}
+
+void or_imagenet::loadDataset(string &path)
+{
+    ifstream infile((path + "fall11_urls.txt").c_str());
     string line;
     while (getline(infile, line))
     {

modules/datasetstools/src/or_sun.cpp

@@ -53,6 +53,11 @@ or_sun::or_sun(std::string &path)
     loadDataset(path);
 }
 
+void or_sun::load(string &path, unsigned int number)
+{
+    loadDataset(path);
+}
+
 void or_sun::loadDataset(string &path)
 {
     string classNameFile(path + "ClassName.txt");

modules/datasetstools/src/slam_kitti.cpp

@@ -54,6 +54,11 @@ slam_kitti::slam_kitti(std::string &path)
     loadDataset(path);
 }
 
+void slam_kitti::load(string &path, unsigned int number)
+{
+    loadDataset(path);
+}
+
 void slam_kitti::loadDataset(string &path)
 {
     string pathSequence(path + "sequences/");

modules/datasetstools/src/slam_tumindoor.cpp

@@ -55,6 +55,11 @@ slam_tumindoor::slam_tumindoor(std::string &path)
     loadDataset(path);
 }
 
+void slam_tumindoor::load(string &path, unsigned int number)
+{
+    loadDataset(path);
+}
+
 void slam_tumindoor::loadDataset(string &path)
 {
     string infoPath(path + "info/2011-12-17_15.02.56-info.csv"); // TODO

modules/datasetstools/src/tinyxml2/tinyxml2.cpp

@@ -21,7 +21,7 @@ must not be misrepresented as being the original software.
 distribution.
 */
 
-#include "tinyxml2.h"
+#include <tinyxml2/tinyxml2.h>
 
 #include <new>		// yes, this one new style header, is in the Android SDK.
 #   ifdef ANDROID_NDK

modules/datasetstools/src/tr_chars.cpp

@@ -70,6 +70,11 @@ tr_chars::tr_chars(std::string &path, unsigned int number)
     loadDataset(path, number);
 }
 
+void tr_chars::load(string &path, unsigned int number)
+{
+    loadDataset(path, number);
+}
+
 void tr_chars::loadDataset(string &path, unsigned int number)
 {
     vector<int> allLabels, trainSet, testSet;

modules/datasetstools/src/tr_svt.cpp

@@ -102,6 +102,11 @@ tr_svt::tr_svt(std::string &path)
     loadDataset(path);
 }
 
+void tr_svt::load(string &path, unsigned int number)
+{
+    loadDataset(path);
+}
+
 void tr_svt::loadDataset(string &path)
 {
     string trainXml(path + "train.xml");