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Commit 3787bf99 authored by dmitriy.anisimov's avatar dmitriy.anisimov
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document updated, added simple base class for datasets and other minor changes

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modules/datasetstools/doc/datasetstools.rst
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......@@ -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/
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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>
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rel="nofollow">Show Source</a></li>
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modules/datasetstools/include/opencv2/ar_hmdb.h
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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 0 → 100644
View file @ 3787bf99
/*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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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
View file @ 3787bf99
......@@ -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");
......
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