Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo
收藏Mendeley Data2024-03-27 更新2024-06-29 收录
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https://darus.uni-stuttgart.de/citation?persistentId=doi:10.18419/darus-3376
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资源简介:
The Spring dataset contains files for scene flow, optical flow and stereo estimation. For easier handling, we organized them into sub-directories: train split: train_frame_left.zip: left camera frames train_frame_right.zip: right camera frames train_disp1_left.zip: left-to-right disparity in the reference frame train_disp1_right.zip: right-to-left disparity in the reference frame train_disp2_FW_left.zip: left-to-right disparity in the future/forward target frame train_disp2_BW_left.zip: left-to-right disparity in the past/backward target frame train_disp2_FW_right.zip: right-to-left disparity in the future/forward target frame train_disp2_BW_right.zip: right-to-left disparity in the past/backward target frame train_flow_FW_left.zip: left forward optical flow train_flow_BW_left.zip: left backward optical flow train_flow_FW_right.zip: right forward optical flow train_flow_BW_right.zip: right backward optical flow train_cam_data.zip: camera data: intrinsics, extrinsics, focal distance train_maps.zip: additional maps: detail, match, rigid, sky test split: test_frame_left.zip: left camera frames test_frame_right.zip: right camera frames test_cam_data.zip: camera data: intrinsics File formats: images and maps are given in png format optical flow files are given in HDF5 file format and named .flo5 disparity files are given in HDF5 file format and named .dsp5 For the project website see spring-benchmark.org.
创建时间:
2023-06-28



