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121 lines
2.0 KiB
121 lines
2.0 KiB
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datasets. Framework for working with different datasets |
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.. highlight:: cpp |
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The datasets module includes classes for working with different datasets: load data, evaluate different algorithms on them, contains benchmarks, etc. |
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It is planned to have: |
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* basic: loading code for all datasets to help start work with them. |
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* next stage: quick benchmarks for all datasets to show how to solve them using OpenCV and implement evaluation code. |
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* finally: implement on OpenCV state-of-the-art algorithms, which solve these tasks. |
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.. toctree:: |
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:hidden: |
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ar_hmdb |
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ar_sports |
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fr_adience |
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fr_lfw |
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gr_chalearn |
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gr_skig |
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hpe_humaneva |
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hpe_parse |
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ir_affine |
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ir_robot |
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is_bsds |
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is_weizmann |
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msm_epfl |
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msm_middlebury |
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or_imagenet |
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or_mnist |
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or_sun |
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pd_caltech |
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slam_kitti |
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slam_tumindoor |
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tr_chars |
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tr_svt |
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Action Recognition |
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------------------ |
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:doc:`ar_hmdb` [#f1]_ |
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:doc:`ar_sports` |
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Face Recognition |
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---------------- |
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:doc:`fr_adience` |
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:doc:`fr_lfw` [#f1]_ |
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Gesture Recognition |
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------------------- |
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:doc:`gr_chalearn` |
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:doc:`gr_skig` |
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Human Pose Estimation |
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--------------------- |
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:doc:`hpe_humaneva` |
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:doc:`hpe_parse` |
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Image Registration |
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------------------ |
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:doc:`ir_affine` |
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:doc:`ir_robot` |
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Image Segmentation |
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------------------ |
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:doc:`is_bsds` |
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:doc:`is_weizmann` |
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Multiview Stereo Matching |
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------------------------- |
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:doc:`msm_epfl` |
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:doc:`msm_middlebury` |
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Object Recognition |
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------------------ |
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:doc:`or_imagenet` |
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:doc:`or_mnist` [#f2]_ |
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:doc:`or_sun` |
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Pedestrian Detection |
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-------------------- |
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:doc:`pd_caltech` [#f2]_ |
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SLAM |
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---- |
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:doc:`slam_kitti` |
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:doc:`slam_tumindoor` |
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Text Recognition |
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---------------- |
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:doc:`tr_chars` |
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:doc:`tr_svt` [#f1]_ |
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*Footnotes* |
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.. [#f1] Benchmark implemented |
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.. [#f2] Not used in Vision Challenge
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