|
| 1 | +********************************************************* |
| 2 | +datasetstools. Tools for working with different datasets. |
| 3 | +********************************************************* |
| 4 | + |
| 5 | +.. highlight:: cpp |
| 6 | + |
| 7 | +The datasetstools module includes classes for working with different datasets. |
| 8 | + |
| 9 | +First version of this module was implemented for **Fall2014 OpenCV Challenge**. |
| 10 | + |
| 11 | +Action Recognition |
| 12 | +------------------ |
| 13 | + |
| 14 | +AR_hmdb |
| 15 | +======= |
| 16 | +.. ocv:class:: AR_hmdb |
| 17 | +
|
| 18 | +Implements loading dataset: |
| 19 | + |
| 20 | +_`"HMDB: A Large Human Motion Database"`: http://serre-lab.clps.brown.edu/resource/hmdb-a-large-human-motion-database/ |
| 21 | + |
| 22 | +.. note:: Usage |
| 23 | + |
| 24 | + 1. From link above download dataset files: hmdb51_org.rar & test_train_splits.rar. |
| 25 | + |
| 26 | + 2. Unpack them. |
| 27 | + |
| 28 | + 3. To load data run: ./opencv/build/bin/example_datasetstools_ar_hmdb -p=/home/user/path_to_unpacked_folders/ |
| 29 | + |
| 30 | +AR_sports |
| 31 | +========= |
| 32 | +.. ocv:class:: AR_sports |
| 33 | +
|
| 34 | +Implements loading dataset: |
| 35 | + |
| 36 | +_`"Sports-1M Dataset"`: http://cs.stanford.edu/people/karpathy/deepvideo/ |
| 37 | + |
| 38 | +.. note:: Usage |
| 39 | + |
| 40 | + 1. From link above download dataset files (git clone https://code.google.com/p/sports-1m-dataset/). |
| 41 | + |
| 42 | + 2. To load data run: ./opencv/build/bin/example_datasetstools_ar_sports -p=/home/user/path_to_downloaded_folders/ |
| 43 | + |
| 44 | +Face Recognition |
| 45 | +---------------- |
| 46 | + |
| 47 | +FR_lfw |
| 48 | +====== |
| 49 | +.. ocv:class:: FR_lfw |
| 50 | +
|
| 51 | +Implements loading dataset: |
| 52 | + |
| 53 | +_`"Labeled Faces in the Wild-a"`: http://www.openu.ac.il/home/hassner/data/lfwa/ |
| 54 | + |
| 55 | +.. note:: Usage |
| 56 | + |
| 57 | + 1. From link above download dataset file: lfwa.tar.gz. |
| 58 | + |
| 59 | + 2. Unpack it. |
| 60 | + |
| 61 | + 3. To load data run: ./opencv/build/bin/example_datasetstools_fr_lfw -p=/home/user/path_to_unpacked_folder/lfw2/ |
| 62 | + |
| 63 | +Gesture Recognition |
| 64 | +------------------- |
| 65 | + |
| 66 | +GR_chalearn |
| 67 | +=========== |
| 68 | +.. ocv:class:: GR_chalearn |
| 69 | +
|
| 70 | +Implements loading dataset: |
| 71 | + |
| 72 | +_`"ChaLearn Looking at People"`: http://gesture.chalearn.org/ |
| 73 | + |
| 74 | +.. note:: Usage |
| 75 | + |
| 76 | + 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). |
| 77 | + |
| 78 | + 2. Unpack train archives Train1.zip-Train5.zip to one folder (currently loading validation files wasn't implemented) |
| 79 | + |
| 80 | + 3. To load data run: ./opencv/build/bin/example_datasetstools_gr_chalearn -p=/home/user/path_to_unpacked_folder/ |
| 81 | + |
| 82 | +GR_skig |
| 83 | +======= |
| 84 | +.. ocv:class:: GR_skig |
| 85 | +
|
| 86 | +Implements loading dataset: |
| 87 | + |
| 88 | +_`"Sheffield Kinect Gesture Dataset"`: http://lshao.staff.shef.ac.uk/data/SheffieldKinectGesture.htm |
| 89 | + |
| 90 | +.. note:: Usage |
| 91 | + |
| 92 | + 1. From link above download dataset files: subject1_dep.7z-subject6_dep.7z, subject1_rgb.7z-subject6_rgb.7z. |
| 93 | + |
| 94 | + 2. Unpack them. |
| 95 | + |
| 96 | + 3. To load data run: ./opencv/build/bin/example_datasetstools_gr_skig -p=/home/user/path_to_unpacked_folders/ |
| 97 | + |
| 98 | +Human Pose Estimation |
| 99 | +--------------------- |
| 100 | + |
| 101 | +HPE_parse |
| 102 | +========= |
| 103 | +.. ocv:class:: HPE_parse |
| 104 | +
|
| 105 | +Implements loading dataset: |
| 106 | + |
| 107 | +_`"PARSE Dataset"`: http://www.ics.uci.edu/~dramanan/papers/parse/ |
| 108 | + |
| 109 | +.. note:: Usage |
| 110 | + |
| 111 | + 1. From link above download dataset file: people.zip. |
| 112 | + |
| 113 | + 2. Unpack it. |
| 114 | + |
| 115 | + 3. To load data run: ./opencv/build/bin/example_datasetstools_hpe_parse -p=/home/user/path_to_unpacked_folder/people_all/ |
| 116 | + |
| 117 | +Image Registration |
| 118 | +------------------ |
| 119 | + |
| 120 | +IR_affine |
| 121 | +========= |
| 122 | +.. ocv:class:: IR_affine |
| 123 | +
|
| 124 | +Implements loading dataset: |
| 125 | + |
| 126 | +_`"Affine Covariant Regions Datasets"`: http://www.robots.ox.ac.uk/~vgg/data/data-aff.html |
| 127 | + |
| 128 | +.. note:: Usage |
| 129 | + |
| 130 | + 1. From link above download dataset files: bark\\bikes\\boat\\graf\\leuven\\trees\\ubc\\wall.tar.gz. |
| 131 | + |
| 132 | + 2. Unpack them. |
| 133 | + |
| 134 | + 3. To load data, for example, for "bark", run: ./opencv/build/bin/example_datasetstools_ir_affine -p=/home/user/path_to_unpacked_folder/bark/ |
| 135 | + |
| 136 | +IR_robot |
| 137 | +======== |
| 138 | +.. ocv:class:: IR_robot |
| 139 | +
|
| 140 | +Implements loading dataset: |
| 141 | + |
| 142 | +_`"Robot Data Set"`: http://roboimagedata.compute.dtu.dk/?page_id=24 |
| 143 | + |
| 144 | +.. note:: Usage |
| 145 | + |
| 146 | + 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.) |
| 147 | + 2. Unpack them to one folder. |
| 148 | + |
| 149 | + 3. To load data run: ./opencv/build/bin/example_datasetstools_ir_robot -p=/home/user/path_to_unpacked_folder/ |
| 150 | + |
| 151 | +Image Segmentation |
| 152 | +------------------ |
| 153 | + |
| 154 | +IS_bsds |
| 155 | +======= |
| 156 | +.. ocv:class:: IS_bsds |
| 157 | +
|
| 158 | +Implements loading dataset: |
| 159 | + |
| 160 | +_`"The Berkeley Segmentation Dataset and Benchmark"`: https://www.eecs.berkeley.edu/Research/Projects/CS/vision/bsds/ |
| 161 | + |
| 162 | +.. note:: Usage |
| 163 | + |
| 164 | + 1. From link above download dataset files: BSDS300-human.tgz & BSDS300-images.tgz. |
| 165 | + |
| 166 | + 2. Unpack them. |
| 167 | + |
| 168 | + 3. To load data run: ./opencv/build/bin/example_datasetstools_is_bsds -p=/home/user/path_to_unpacked_folder/BSDS300/ |
| 169 | + |
| 170 | +IS_weizmann |
| 171 | +=========== |
| 172 | +.. ocv:class:: IS_weizmann |
| 173 | +
|
| 174 | +Implements loading dataset: |
| 175 | + |
| 176 | +_`"Weizmann Segmentation Evaluation Database"`: http://www.wisdom.weizmann.ac.il/~vision/Seg_Evaluation_DB/ |
| 177 | + |
| 178 | +.. note:: Usage |
| 179 | + |
| 180 | + 1. From link above download dataset files: Weizmann_Seg_DB_1obj.ZIP & Weizmann_Seg_DB_2obj.ZIP. |
| 181 | + |
| 182 | + 2. Unpack them. |
| 183 | + |
| 184 | + 3. To load data, for example, for 1 object dataset, run: ./opencv/build/bin/example_datasetstools_is_weizmann -p=/home/user/path_to_unpacked_folder/1obj/ |
| 185 | + |
| 186 | +Multiview Stereo Matching |
| 187 | +------------------------- |
| 188 | + |
| 189 | +MSM_epfl |
| 190 | +======== |
| 191 | +.. ocv:class:: MSM_epfl |
| 192 | +
|
| 193 | +Implements loading dataset: |
| 194 | + |
| 195 | +_`"EPFL Multi-View Stereo"`: http://cvlabwww.epfl.ch/~strecha/multiview/denseMVS.html |
| 196 | + |
| 197 | +.. note:: Usage |
| 198 | + |
| 199 | + 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. |
| 200 | + |
| 201 | + 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/ |
| 202 | + |
| 203 | + 3. To load data, for example, for "fountain", run: ./opencv/build/bin/example_datasetstools_msm_epfl -p=/home/user/path_to_unpacked_folder/fountain/ |
| 204 | + |
| 205 | +MSM_middlebury |
| 206 | +============== |
| 207 | +.. ocv:class:: MSM_middlebury |
| 208 | +
|
| 209 | +Implements loading dataset: |
| 210 | + |
| 211 | +_`"Stereo – Middlebury Computer Vision"`: http://vision.middlebury.edu/mview/ |
| 212 | + |
| 213 | +.. note:: Usage |
| 214 | + |
| 215 | + 1. From link above download dataset files: dino\\dinoRing\\dinoSparseRing\\temple\\templeRing\\templeSparseRing.zip |
| 216 | + |
| 217 | + 2. Unpack them. |
| 218 | + |
| 219 | + 3. To load data, for example "temple" dataset, run: ./opencv/build/bin/example_datasetstools_msm_middlebury -p=/home/user/path_to_unpacked_folder/temple/ |
| 220 | + |
| 221 | +Object Recognition |
| 222 | +------------------ |
| 223 | + |
| 224 | +OR_imagenet |
| 225 | +=========== |
| 226 | +.. ocv:class:: OR_imagenet |
| 227 | +
|
| 228 | +Implements loading dataset: |
| 229 | + |
| 230 | +_`"ImageNet"`: http://www.image-net.org/ |
| 231 | + |
| 232 | +Currently implemented loading full list with urls. Planned to implement dataset from ILSVRC challenge. |
| 233 | + |
| 234 | +.. note:: Usage |
| 235 | + |
| 236 | + 1. From link above download dataset file: imagenet_fall11_urls.tgz |
| 237 | + |
| 238 | + 2. Unpack it. |
| 239 | + |
| 240 | + 3. To load data run: ./opencv/build/bin/example_datasetstools_or_imagenet -p=/home/user/path_to_unpacked_file/ |
| 241 | + |
| 242 | +OR_sun |
| 243 | +====== |
| 244 | +.. ocv:class:: OR_sun |
| 245 | +
|
| 246 | +Implements loading dataset: |
| 247 | + |
| 248 | +_`"SUN Database"`: http://sun.cs.princeton.edu/ |
| 249 | + |
| 250 | +Currently implemented loading "Scene Recognition Benchmark. SUN397". Planned to implement also "Object Detection Benchmark. SUN2012". |
| 251 | + |
| 252 | +.. note:: Usage |
| 253 | + |
| 254 | + 1. From link above download dataset file: SUN397.tar |
| 255 | + |
| 256 | + 2. Unpack it. |
| 257 | + |
| 258 | + 3. To load data run: ./opencv/build/bin/example_datasetstools_or_sun -p=/home/user/path_to_unpacked_folder/SUN397/ |
| 259 | + |
| 260 | +SLAM |
| 261 | +---- |
| 262 | + |
| 263 | +SLAM_kitti |
| 264 | +========== |
| 265 | +.. ocv:class:: SLAM_kitti |
| 266 | +
|
| 267 | +Implements loading dataset: |
| 268 | + |
| 269 | +_`"KITTI Vision Benchmark"`: http://www.cvlibs.net/datasets/kitti/eval_odometry.php |
| 270 | + |
| 271 | +.. note:: Usage |
| 272 | + |
| 273 | + 1. From link above download "Odometry" dataset files: data_odometry_gray\\data_odometry_color\\data_odometry_velodyne\\data_odometry_poses\\data_odometry_calib.zip. |
| 274 | + |
| 275 | + 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. |
| 276 | + |
| 277 | + 3. To load data run: ./opencv/build/bin/example_datasetstools_slam_kitti -p=/home/user/path_to_unpacked_folder/dataset/ |
| 278 | + |
| 279 | +SLAM_tumindoor |
| 280 | +============== |
| 281 | +.. ocv:class:: SLAM_tumindoor |
| 282 | +
|
| 283 | +Implements loading dataset: |
| 284 | + |
| 285 | +_`"TUMindoor Dataset"`: http://www.navvis.lmt.ei.tum.de/dataset/ |
| 286 | + |
| 287 | +.. note:: Usage |
| 288 | + |
| 289 | + 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) |
| 290 | + |
| 291 | + 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/. |
| 292 | + |
| 293 | + 3. To load each dataset run: ./opencv/build/bin/example_datasetstools_slam_tumindoor -p=/home/user/path_to_unpacked_folders/ |
| 294 | + |
| 295 | +Text Recognition |
| 296 | +---------------- |
| 297 | + |
| 298 | +TR_chars |
| 299 | +======== |
| 300 | +.. ocv:class:: TR_chars |
| 301 | +
|
| 302 | +Implements loading dataset: |
| 303 | + |
| 304 | +_`"The Chars74K Dataset"`: http://www.ee.surrey.ac.uk/CVSSP/demos/chars74k/ |
| 305 | + |
| 306 | +.. note:: Usage |
| 307 | + |
| 308 | + 1. From link above download dataset files: EnglishFnt\\EnglishHnd\\EnglishImg\\KannadaHnd\\KannadaImg.tgz, ListsTXT.tgz. |
| 309 | + |
| 310 | + 2. Unpack them. |
| 311 | + |
| 312 | + 3. Move .m files from folder ListsTXT/ to appropriate folder. For example, English/list_English_Img.m for EnglishImg.tgz. |
| 313 | + |
| 314 | + 4. To load data, for example "EnglishImg", run: ./opencv/build/bin/example_datasetstools_tr_chars -p=/home/user/path_to_unpacked_folder/English/ |
| 315 | + |
| 316 | +TR_svt |
| 317 | +====== |
| 318 | +.. ocv:class:: TR_svt |
| 319 | +
|
| 320 | +Implements loading dataset: |
| 321 | + |
| 322 | +_`"The Street View Text Dataset"`: http://vision.ucsd.edu/~kai/svt/ |
| 323 | + |
| 324 | +.. note:: Usage |
| 325 | + |
| 326 | + 1. From link above download dataset file: svt.zip. |
| 327 | + |
| 328 | + 2. Unpack it. |
| 329 | + |
| 330 | + 3. To load data run: ./opencv/build/bin/example_datasetstools_tr_svt -p=/home/user/path_to_unpacked_folder/svt/svt1/ |
| 331 | + |
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