Add files using upload-large-folder tool
Browse files- Argoverse/README.md +38 -0
- Argoverse/argoverse_test.txt +0 -0
- Argoverse/argoverse_train.txt +0 -0
- Argoverse/argoverse_val.txt +0 -0
- Argoverse/trainval.txt +0 -0
- CREStereo/README.md +38 -0
- DrivingStereo/README.md +37 -0
- DrivingStereo/driving_stereo_full_test.txt +0 -0
- DrivingStereo/driving_stereo_half_test.txt +0 -0
- ETH3D/ETH3D_test.txt +20 -0
- ETH3D/ETH3D_train.txt +27 -0
- ETH3D/README.md +36 -0
- FallingThings/README.md +36 -0
- FallingThings/fat_all.txt +0 -0
- InStereo2K/InStereo2K_test.txt +50 -0
- InStereo2K/README.md +33 -0
- InStereo2K/instereo2k_test_50.txt +50 -0
- KITTI12/README.md +41 -0
- KITTI12/kitti12_test.txt +195 -0
- KITTI12/kitti12_train180.txt +180 -0
- KITTI12/kitti12_train194.txt +194 -0
- KITTI12/kitti12_val14.txt +14 -0
- KITTI15/README.md +38 -0
- KITTI15/kitti15_test.txt +200 -0
- KITTI15/kitti15_train180.txt +180 -0
- KITTI15/kitti15_train200.txt +200 -0
- KITTI15/kitti15_val20.txt +20 -0
- Middlebury/MiddEval3_train_all.txt +45 -0
- Middlebury/MiddEval3_train_f.txt +15 -0
- Middlebury/MiddEval3_train_h.txt +15 -0
- Middlebury/MiddEval3_train_q.txt +15 -0
- Middlebury/README.md +35 -0
- SceneFlow/FlyingThings3D_sttr_test.txt +0 -0
- SceneFlow/FlyingThings3D_sttr_train.txt +0 -0
- SceneFlow/README.md +57 -0
- SceneFlow/sceneflow_cleanpass_test.txt +0 -0
- SceneFlow/sceneflow_cleanpass_train.txt +0 -0
- SceneFlow/sceneflow_finalpass_test.txt +0 -0
- SceneFlow/sceneflow_finalpass_train.txt +0 -0
- Sintel/README.md +58 -0
- Sintel/Sintel_clean_train.txt +0 -0
- Sintel/Sintel_final_train.txt +0 -0
- Spring/README.md +35 -0
- Spring/spring_test.txt +1000 -0
- Spring/spring_train.txt +0 -0
- TartanAir/README.md +78 -0
- UnrealStereo4K/README.md +42 -0
- UnrealStereo4K/unrealstereo4k_all.txt +0 -0
- VirtualKitti2/README.md +24 -0
- VirtualKitti2/virtualkitti2_trainval21260.txt +0 -0
Argoverse/README.md
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# Prepare Argoverse Stereo Dataset
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Argoverse 1 Stereo dataset consists of rectified stereo images and ground truth disparity maps for 74 out of the 113 Argoverse 1 3D Tracking Sequences. The stereo images are (2056 x 2464 px) and sampled at 5 Hz. </br>
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Dataset can be downloaded at the following website: https://www.argoverse.org/av1.html#stereo-link
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The directory structure should be:
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```text
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argoverse_stereo_v1.1
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└───disparity_maps_v1.1
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| └───test
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| └───train
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| | └───273c1883-673a-36bf-b124-88311b1a80be
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| | └───stereo_front_left_rect_disparity
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| | └───stereo_front_left_rect_objects_disparity
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| └───val
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└───rectified_stereo_images_v1.1
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└───test
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└───train
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| └───273c1883-673a-36bf-b124-88311b1a80be
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| └───stereo_front_left_rect
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| └───stereo_front_right_rect
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| vehicle_calibration_stereo_info.json
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└───val
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```
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_Optionally you can write your own txt file and use all the parts of the dataset._
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```bibtex
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@inproceedings{chang2019argoverse,
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title={Argoverse: 3d tracking and forecasting with rich maps},
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author={Chang, Ming-Fang and Lambert, John and Sangkloy, Patsorn and Singh, Jagjeet and Bak, Slawomir and Hartnett, Andrew and Wang, De and Carr, Peter and Lucey, Simon and Ramanan, Deva and others},
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booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
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pages={8748--8757},
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year={2019}
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}
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```
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Argoverse/argoverse_test.txt
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Argoverse/argoverse_train.txt
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CREStereo/README.md
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# Prepare CREStereo Dataset
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CREStereo Dataset is a synthetic dataset that contains 200000 pairs of images and the corresponding dense disparity map. </br>
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Dataset can be downloaded at the following website: https://github.com/megvii-research/CREStereo/blob/master/README.md
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The directory structure should be:
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```text
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CREStereoData
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├── hole
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| ├── 0003c2ad-2128-4916-b450-60c22826bc83_left.jpg
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| ├── 0003c2ad-2128-4916-b450-60c22826bc83_right.jpg
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| ├── 0003c2ad-2128-4916-b450-60c22826bc83_left.disp.png
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| ├── 0003c2ad-2128-4916-b450-60c22826bc83_right.disp.png
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...
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├── reflective
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...
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├── shapenet
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...
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├── tree
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...
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```
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_Optionally you can write your own txt file and use all the parts of the dataset._
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```bibtex
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@inproceedings{li2022practical,
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title={Practical stereo matching via cascaded recurrent network with adaptive correlation},
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author={Li, Jiankun and Wang, Peisen and Xiong, Pengfei and Cai, Tao and Yan, Ziwei and Yang, Lei and Liu, Jiangyu and Fan, Haoqiang and Liu, Shuaicheng},
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booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
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pages={16263--16272},
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year={2022}
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}
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```
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DrivingStereo/README.md
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# Prepare Driving Stereo Dataset
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Driving Stereo Datasets is available at the Driving Stereo [official website](https://drivingstereo-dataset.github.io/).
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Please download the dataset from Google Drive or BaiduCloud and unzip it to the `data` directory.
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To use our list file for training and testing, the directory structure should be as follows:
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```text
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data
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├── DrivingStereo
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| ├── calib_test
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| ├── calib_train
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| ├── cloudy
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| ├── foggy
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| ├── rainy
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| ├── sunny
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| ├── test-depth-map
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| ├── test-disparity-map
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| ├── test-left-image
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| ├── test-right-image
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| ├── train-depth-map
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| ├── train-disparity-map
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| ├── train-left-image
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| ├── train-right-image
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```
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_Optionally you can write your own txt file and use all the parts of the dataset._
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### Reference
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```bibtex
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@inproceedings{yang2019drivingstereo,
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title={DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios},
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author={Yang, Guorun and Song, Xiao and Huang, Chaoqin and Deng, Zhidong and Shi, Jianping and Zhou, Bolei},
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booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
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year={2019}
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}
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```
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DrivingStereo/driving_stereo_full_test.txt
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DrivingStereo/driving_stereo_half_test.txt
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ETH3D/ETH3D_test.txt
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two_view_testing/lakeside_1l/im0.png two_view_testing/lakeside_1l/im1.png
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two_view_testing/lakeside_1s/im0.png two_view_testing/lakeside_1s/im1.png
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two_view_testing/sand_box_1l/im0.png two_view_testing/sand_box_1l/im1.png
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two_view_testing/sand_box_1s/im0.png two_view_testing/sand_box_1s/im1.png
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two_view_testing/storage_room_1l/im0.png two_view_testing/storage_room_1l/im1.png
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two_view_testing/storage_room_1s/im0.png two_view_testing/storage_room_1s/im1.png
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two_view_testing/storage_room_2_1l/im0.png two_view_testing/storage_room_2_1l/im1.png
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two_view_testing/storage_room_2_1s/im0.png two_view_testing/storage_room_2_1s/im1.png
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two_view_testing/storage_room_2_2l/im0.png two_view_testing/storage_room_2_2l/im1.png
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two_view_testing/storage_room_2_2s/im0.png two_view_testing/storage_room_2_2s/im1.png
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two_view_testing/storage_room_2l/im0.png two_view_testing/storage_room_2l/im1.png
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two_view_testing/storage_room_2s/im0.png two_view_testing/storage_room_2s/im1.png
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two_view_testing/storage_room_3l/im0.png two_view_testing/storage_room_3l/im1.png
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two_view_testing/storage_room_3s/im0.png two_view_testing/storage_room_3s/im1.png
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two_view_testing/tunnel_1l/im0.png two_view_testing/tunnel_1l/im1.png
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two_view_testing/tunnel_1s/im0.png two_view_testing/tunnel_1s/im1.png
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two_view_testing/tunnel_2l/im0.png two_view_testing/tunnel_2l/im1.png
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two_view_testing/tunnel_2s/im0.png two_view_testing/tunnel_2s/im1.png
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two_view_testing/tunnel_3l/im0.png two_view_testing/tunnel_3l/im1.png
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two_view_testing/tunnel_3s/im0.png two_view_testing/tunnel_3s/im1.png
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ETH3D/ETH3D_train.txt
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two_view_training/delivery_area_1l/im0.png two_view_training/delivery_area_1l/im1.png two_view_training/delivery_area_1l/disp0GT.pfm
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two_view_training/delivery_area_1s/im0.png two_view_training/delivery_area_1s/im1.png two_view_training/delivery_area_1s/disp0GT.pfm
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two_view_training/delivery_area_2l/im0.png two_view_training/delivery_area_2l/im1.png two_view_training/delivery_area_2l/disp0GT.pfm
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two_view_training/delivery_area_2s/im0.png two_view_training/delivery_area_2s/im1.png two_view_training/delivery_area_2s/disp0GT.pfm
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two_view_training/delivery_area_3l/im0.png two_view_training/delivery_area_3l/im1.png two_view_training/delivery_area_3l/disp0GT.pfm
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two_view_training/delivery_area_3s/im0.png two_view_training/delivery_area_3s/im1.png two_view_training/delivery_area_3s/disp0GT.pfm
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two_view_training/electro_1l/im0.png two_view_training/electro_1l/im1.png two_view_training/electro_1l/disp0GT.pfm
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two_view_training/electro_1s/im0.png two_view_training/electro_1s/im1.png two_view_training/electro_1s/disp0GT.pfm
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two_view_training/electro_2l/im0.png two_view_training/electro_2l/im1.png two_view_training/electro_2l/disp0GT.pfm
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two_view_training/electro_2s/im0.png two_view_training/electro_2s/im1.png two_view_training/electro_2s/disp0GT.pfm
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two_view_training/electro_3l/im0.png two_view_training/electro_3l/im1.png two_view_training/electro_3l/disp0GT.pfm
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two_view_training/electro_3s/im0.png two_view_training/electro_3s/im1.png two_view_training/electro_3s/disp0GT.pfm
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two_view_training/facade_1s/im0.png two_view_training/facade_1s/im1.png two_view_training/facade_1s/disp0GT.pfm
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two_view_training/forest_1s/im0.png two_view_training/forest_1s/im1.png two_view_training/forest_1s/disp0GT.pfm
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two_view_training/forest_2s/im0.png two_view_training/forest_2s/im1.png two_view_training/forest_2s/disp0GT.pfm
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two_view_training/playground_1l/im0.png two_view_training/playground_1l/im1.png two_view_training/playground_1l/disp0GT.pfm
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two_view_training/playground_1s/im0.png two_view_training/playground_1s/im1.png two_view_training/playground_1s/disp0GT.pfm
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two_view_training/playground_2l/im0.png two_view_training/playground_2l/im1.png two_view_training/playground_2l/disp0GT.pfm
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two_view_training/playground_2s/im0.png two_view_training/playground_2s/im1.png two_view_training/playground_2s/disp0GT.pfm
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two_view_training/playground_3l/im0.png two_view_training/playground_3l/im1.png two_view_training/playground_3l/disp0GT.pfm
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two_view_training/playground_3s/im0.png two_view_training/playground_3s/im1.png two_view_training/playground_3s/disp0GT.pfm
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two_view_training/terrace_1s/im0.png two_view_training/terrace_1s/im1.png two_view_training/terrace_1s/disp0GT.pfm
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two_view_training/terrace_2s/im0.png two_view_training/terrace_2s/im1.png two_view_training/terrace_2s/disp0GT.pfm
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two_view_training/terrains_1l/im0.png two_view_training/terrains_1l/im1.png two_view_training/terrains_1l/disp0GT.pfm
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two_view_training/terrains_1s/im0.png two_view_training/terrains_1s/im1.png two_view_training/terrains_1s/disp0GT.pfm
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two_view_training/terrains_2l/im0.png two_view_training/terrains_2l/im1.png two_view_training/terrains_2l/disp0GT.pfm
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two_view_training/terrains_2s/im0.png two_view_training/terrains_2s/im1.png two_view_training/terrains_2s/disp0GT.pfm
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|
|
| 1 |
+
# Prepare ETH3D Dataset
|
| 2 |
+
|
| 3 |
+
The ETH3D dataset is a large-scale dataset for visual odometry, dense reconstruction, and camera pose estimation
|
| 4 |
+
provided by the Computer Vision and Geometry Group at ETH Zurich. The dataset includes image sequences captured from
|
| 5 |
+
multiple cameras and corresponding camera poses, depth maps, and dense point clouds. The dataset can be used to evaluate
|
| 6 |
+
different types of algorithms, such as structure-based and direct-based visual odometry algorithms, dense reconstruction
|
| 7 |
+
algorithms, and camera pose estimation algorithms.
|
| 8 |
+
|
| 9 |
+
The dataset can be downloaded at the following website: https://www.eth3d.net/datasets#downloads
|
| 10 |
+
|
| 11 |
+
We only use the two-view stereo images and corresponding camera poses in the dataset.
|
| 12 |
+
The directory structure should be:
|
| 13 |
+
|
| 14 |
+
```text
|
| 15 |
+
data
|
| 16 |
+
├── ETH3D
|
| 17 |
+
| ├── two_view_training
|
| 18 |
+
| | ├── delivery_area_1l
|
| 19 |
+
...
|
| 20 |
+
| ├── two_view_testing
|
| 21 |
+
| | ├── lakeside_1l
|
| 22 |
+
...
|
| 23 |
+
```
|
| 24 |
+
|
| 25 |
+
_Optionally you can write your own txt file and use all the parts of the dataset._
|
| 26 |
+
|
| 27 |
+
### Reference
|
| 28 |
+
|
| 29 |
+
```bibtex
|
| 30 |
+
@inproceedings{schoeps2017cvpr,
|
| 31 |
+
author = {Thomas Sch\"ops and Johannes L. Sch\"onberger and Silvano Galliani and Torsten Sattler and Konrad Schindler and Marc Pollefeys and Andreas Geiger},
|
| 32 |
+
title = {A Multi-View Stereo Benchmark with High-Resolution Images and Multi-Camera Videos},
|
| 33 |
+
booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},
|
| 34 |
+
year = {2017}
|
| 35 |
+
}
|
| 36 |
+
```
|
FallingThings/README.md
ADDED
|
@@ -0,0 +1,36 @@
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Prepare Falling Things Dataset
|
| 2 |
+
|
| 3 |
+
Falling Things Dataset is a synthetic dataset presented by NVIDIA. </br>
|
| 4 |
+
|
| 5 |
+
The dataset contains 60k annotated photos of 21 household objects taken from the YCB dataset.For each image, it contains the 3D poses, per-pixel class segmentation, and 2D/3D bounding box coordinates for all objects.The dataset provide mono and stereo RGB images, along with registered dense depth images.
|
| 6 |
+
|
| 7 |
+
Dataset can be downloaded at the following website: https://research.nvidia.com/publication/2018-06_falling-things-synthetic-dataset-3d-object-detection-and-pose-estimation
|
| 8 |
+
|
| 9 |
+
The directory structure should be:
|
| 10 |
+
```text
|
| 11 |
+
FallingThings
|
| 12 |
+
├── fat
|
| 13 |
+
| ├── mixed
|
| 14 |
+
| | ├── kitchen_0
|
| 15 |
+
| | ├── kitchen_1
|
| 16 |
+
| | ├── kitchen_2
|
| 17 |
+
...
|
| 18 |
+
| ├── single
|
| 19 |
+
| | ├── 002_master_chef_can_16k
|
| 20 |
+
| | ├── 003_cracker_box_16k
|
| 21 |
+
|
| 22 |
+
...
|
| 23 |
+
|
| 24 |
+
```
|
| 25 |
+
|
| 26 |
+
_Optionally you can write your own txt file and use all the parts of the dataset._
|
| 27 |
+
|
| 28 |
+
```bibtex
|
| 29 |
+
@inproceedings{tremblay2018falling,
|
| 30 |
+
title={Falling things: A synthetic dataset for 3d object detection and pose estimation},
|
| 31 |
+
author={Tremblay, Jonathan and To, Thang and Birchfield, Stan},
|
| 32 |
+
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops},
|
| 33 |
+
pages={2038--2041},
|
| 34 |
+
year={2018}
|
| 35 |
+
}
|
| 36 |
+
```
|
FallingThings/fat_all.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
InStereo2K/InStereo2K_test.txt
ADDED
|
@@ -0,0 +1,50 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
test/000040/left.png test/000040/right.png test/000040/left_disp.png
|
| 2 |
+
test/000080/left.png test/000080/right.png test/000080/left_disp.png
|
| 3 |
+
test/000120/left.png test/000120/right.png test/000120/left_disp.png
|
| 4 |
+
test/000160/left.png test/000160/right.png test/000160/left_disp.png
|
| 5 |
+
test/000200/left.png test/000200/right.png test/000200/left_disp.png
|
| 6 |
+
test/000240/left.png test/000240/right.png test/000240/left_disp.png
|
| 7 |
+
test/000280/left.png test/000280/right.png test/000280/left_disp.png
|
| 8 |
+
test/000320/left.png test/000320/right.png test/000320/left_disp.png
|
| 9 |
+
test/000360/left.png test/000360/right.png test/000360/left_disp.png
|
| 10 |
+
test/000400/left.png test/000400/right.png test/000400/left_disp.png
|
| 11 |
+
test/000440/left.png test/000440/right.png test/000440/left_disp.png
|
| 12 |
+
test/000480/left.png test/000480/right.png test/000480/left_disp.png
|
| 13 |
+
test/000520/left.png test/000520/right.png test/000520/left_disp.png
|
| 14 |
+
test/000560/left.png test/000560/right.png test/000560/left_disp.png
|
| 15 |
+
test/000600/left.png test/000600/right.png test/000600/left_disp.png
|
| 16 |
+
test/000640/left.png test/000640/right.png test/000640/left_disp.png
|
| 17 |
+
test/000680/left.png test/000680/right.png test/000680/left_disp.png
|
| 18 |
+
test/000720/left.png test/000720/right.png test/000720/left_disp.png
|
| 19 |
+
test/000760/left.png test/000760/right.png test/000760/left_disp.png
|
| 20 |
+
test/000800/left.png test/000800/right.png test/000800/left_disp.png
|
| 21 |
+
test/000840/left.png test/000840/right.png test/000840/left_disp.png
|
| 22 |
+
test/000880/left.png test/000880/right.png test/000880/left_disp.png
|
| 23 |
+
test/000920/left.png test/000920/right.png test/000920/left_disp.png
|
| 24 |
+
test/000960/left.png test/000960/right.png test/000960/left_disp.png
|
| 25 |
+
test/001000/left.png test/001000/right.png test/001000/left_disp.png
|
| 26 |
+
test/001040/left.png test/001040/right.png test/001040/left_disp.png
|
| 27 |
+
test/001080/left.png test/001080/right.png test/001080/left_disp.png
|
| 28 |
+
test/001120/left.png test/001120/right.png test/001120/left_disp.png
|
| 29 |
+
test/001160/left.png test/001160/right.png test/001160/left_disp.png
|
| 30 |
+
test/001200/left.png test/001200/right.png test/001200/left_disp.png
|
| 31 |
+
test/001240/left.png test/001240/right.png test/001240/left_disp.png
|
| 32 |
+
test/001280/left.png test/001280/right.png test/001280/left_disp.png
|
| 33 |
+
test/001320/left.png test/001320/right.png test/001320/left_disp.png
|
| 34 |
+
test/001360/left.png test/001360/right.png test/001360/left_disp.png
|
| 35 |
+
test/001400/left.png test/001400/right.png test/001400/left_disp.png
|
| 36 |
+
test/001440/left.png test/001440/right.png test/001440/left_disp.png
|
| 37 |
+
test/001500/left.png test/001500/right.png test/001500/left_disp.png
|
| 38 |
+
test/001540/left.png test/001540/right.png test/001540/left_disp.png
|
| 39 |
+
test/001580/left.png test/001580/right.png test/001580/left_disp.png
|
| 40 |
+
test/001620/left.png test/001620/right.png test/001620/left_disp.png
|
| 41 |
+
test/001660/left.png test/001660/right.png test/001660/left_disp.png
|
| 42 |
+
test/001700/left.png test/001700/right.png test/001700/left_disp.png
|
| 43 |
+
test/001740/left.png test/001740/right.png test/001740/left_disp.png
|
| 44 |
+
test/001780/left.png test/001780/right.png test/001780/left_disp.png
|
| 45 |
+
test/001820/left.png test/001820/right.png test/001820/left_disp.png
|
| 46 |
+
test/001860/left.png test/001860/right.png test/001860/left_disp.png
|
| 47 |
+
test/001900/left.png test/001900/right.png test/001900/left_disp.png
|
| 48 |
+
test/001940/left.png test/001940/right.png test/001940/left_disp.png
|
| 49 |
+
test/001980/left.png test/001980/right.png test/001980/left_disp.png
|
| 50 |
+
test/002006/left.png test/002006/right.png test/002006/left_disp.png
|
InStereo2K/README.md
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Prepare InStereo2K Dataset
|
| 2 |
+
|
| 3 |
+
InStereo2K Dataset contains 2050 pairs of images with high accuracy disparity maps (2000 for training, 50 for testing), which can be downloaded at the following website: https://github.com/YuhuaXu/StereoDataset
|
| 4 |
+
|
| 5 |
+
The directory structure should be:
|
| 6 |
+
```text
|
| 7 |
+
InStereo2K
|
| 8 |
+
├── train
|
| 9 |
+
| ├── part1
|
| 10 |
+
| | ├── 000000
|
| 11 |
+
| | ├── 000001
|
| 12 |
+
...
|
| 13 |
+
| ├── part2
|
| 14 |
+
...
|
| 15 |
+
├── test
|
| 16 |
+
| ├── 000040
|
| 17 |
+
| ├── 000080
|
| 18 |
+
...
|
| 19 |
+
```
|
| 20 |
+
|
| 21 |
+
_Optionally you can write your own txt file and use all the parts of the dataset._
|
| 22 |
+
|
| 23 |
+
```bibtex
|
| 24 |
+
@article{bao2020instereo2k,
|
| 25 |
+
title={Instereo2k: a large real dataset for stereo matching in indoor scenes},
|
| 26 |
+
author={Bao, Wei and Wang, Wei and Xu, Yuhua and Guo, Yulan and Hong, Siyu and Zhang, Xiaohu},
|
| 27 |
+
journal={Science China Information Sciences},
|
| 28 |
+
volume={63},
|
| 29 |
+
pages={1--11},
|
| 30 |
+
year={2020},
|
| 31 |
+
publisher={Springer}
|
| 32 |
+
}
|
| 33 |
+
```
|
InStereo2K/instereo2k_test_50.txt
ADDED
|
@@ -0,0 +1,50 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
test/000040/left.png test/000040/right.png test/000040/left_disp.png
|
| 2 |
+
test/000080/left.png test/000080/right.png test/000080/left_disp.png
|
| 3 |
+
test/000120/left.png test/000120/right.png test/000120/left_disp.png
|
| 4 |
+
test/000160/left.png test/000160/right.png test/000160/left_disp.png
|
| 5 |
+
test/000200/left.png test/000200/right.png test/000200/left_disp.png
|
| 6 |
+
test/000240/left.png test/000240/right.png test/000240/left_disp.png
|
| 7 |
+
test/000280/left.png test/000280/right.png test/000280/left_disp.png
|
| 8 |
+
test/000320/left.png test/000320/right.png test/000320/left_disp.png
|
| 9 |
+
test/000360/left.png test/000360/right.png test/000360/left_disp.png
|
| 10 |
+
test/000400/left.png test/000400/right.png test/000400/left_disp.png
|
| 11 |
+
test/000440/left.png test/000440/right.png test/000440/left_disp.png
|
| 12 |
+
test/000480/left.png test/000480/right.png test/000480/left_disp.png
|
| 13 |
+
test/000520/left.png test/000520/right.png test/000520/left_disp.png
|
| 14 |
+
test/000560/left.png test/000560/right.png test/000560/left_disp.png
|
| 15 |
+
test/000600/left.png test/000600/right.png test/000600/left_disp.png
|
| 16 |
+
test/000640/left.png test/000640/right.png test/000640/left_disp.png
|
| 17 |
+
test/000680/left.png test/000680/right.png test/000680/left_disp.png
|
| 18 |
+
test/000720/left.png test/000720/right.png test/000720/left_disp.png
|
| 19 |
+
test/000760/left.png test/000760/right.png test/000760/left_disp.png
|
| 20 |
+
test/000800/left.png test/000800/right.png test/000800/left_disp.png
|
| 21 |
+
test/000840/left.png test/000840/right.png test/000840/left_disp.png
|
| 22 |
+
test/000880/left.png test/000880/right.png test/000880/left_disp.png
|
| 23 |
+
test/000920/left.png test/000920/right.png test/000920/left_disp.png
|
| 24 |
+
test/000960/left.png test/000960/right.png test/000960/left_disp.png
|
| 25 |
+
test/001000/left.png test/001000/right.png test/001000/left_disp.png
|
| 26 |
+
test/001040/left.png test/001040/right.png test/001040/left_disp.png
|
| 27 |
+
test/001080/left.png test/001080/right.png test/001080/left_disp.png
|
| 28 |
+
test/001120/left.png test/001120/right.png test/001120/left_disp.png
|
| 29 |
+
test/001160/left.png test/001160/right.png test/001160/left_disp.png
|
| 30 |
+
test/001200/left.png test/001200/right.png test/001200/left_disp.png
|
| 31 |
+
test/001240/left.png test/001240/right.png test/001240/left_disp.png
|
| 32 |
+
test/001280/left.png test/001280/right.png test/001280/left_disp.png
|
| 33 |
+
test/001320/left.png test/001320/right.png test/001320/left_disp.png
|
| 34 |
+
test/001360/left.png test/001360/right.png test/001360/left_disp.png
|
| 35 |
+
test/001400/left.png test/001400/right.png test/001400/left_disp.png
|
| 36 |
+
test/001440/left.png test/001440/right.png test/001440/left_disp.png
|
| 37 |
+
test/001500/left.png test/001500/right.png test/001500/left_disp.png
|
| 38 |
+
test/001540/left.png test/001540/right.png test/001540/left_disp.png
|
| 39 |
+
test/001580/left.png test/001580/right.png test/001580/left_disp.png
|
| 40 |
+
test/001620/left.png test/001620/right.png test/001620/left_disp.png
|
| 41 |
+
test/001660/left.png test/001660/right.png test/001660/left_disp.png
|
| 42 |
+
test/001700/left.png test/001700/right.png test/001700/left_disp.png
|
| 43 |
+
test/001740/left.png test/001740/right.png test/001740/left_disp.png
|
| 44 |
+
test/001780/left.png test/001780/right.png test/001780/left_disp.png
|
| 45 |
+
test/001820/left.png test/001820/right.png test/001820/left_disp.png
|
| 46 |
+
test/001860/left.png test/001860/right.png test/001860/left_disp.png
|
| 47 |
+
test/001900/left.png test/001900/right.png test/001900/left_disp.png
|
| 48 |
+
test/001940/left.png test/001940/right.png test/001940/left_disp.png
|
| 49 |
+
test/001980/left.png test/001980/right.png test/001980/left_disp.png
|
| 50 |
+
test/002006/left.png test/002006/right.png test/002006/left_disp.png
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KITTI12/README.md
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# Prepare KITTI 2012 dataset
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KITTI stereo dataset is available at the KITTI [official website](https://www.cvlibs.net/datasets/kitti/eval_stereo_flow.php?benchmark=stereo).
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Please download the dataset and place it in the `datasets/kitti12` directory.
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The directory structure should be as follows:
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```text
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data
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| kitti12
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| | ├── calib
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| | | ├── calib
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| | | ├── colored_0
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| | | ├── colored_1
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| | | ├── disp_noc
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| | | ├── disp_occ
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| | | ├── disp_refl_noc
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| | | ├── disp_refl_occ
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| | | ├── flow_noc
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| | | ├── flow_occ
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| | | ├── image_0
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| | | ├── image_1
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...
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| | ├── testing
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| | | ├── calib
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| | | ├── colored_0
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| | | ├── colored_1
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| | | ├── image_0
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| | | ├── image_1
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...
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```
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### Reference
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```bibtex
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@inproceedings{kitti2012,
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title={Are we ready for autonomous driving? the kitti vision benchmark suite},
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author={Geiger, Andreas and Lenz, Philip and Urtasun, Raquel},
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booktitle={CVPR},
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year={2012}
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}
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```
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KITTI12/kitti12_test.txt
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testing/colored_0/000000_10.png testing/colored_1/000000_10.png
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testing/colored_0/000138_10.png testing/colored_1/000138_10.png
|
| 140 |
+
testing/colored_0/000139_10.png testing/colored_1/000139_10.png
|
| 141 |
+
testing/colored_0/000140_10.png testing/colored_1/000140_10.png
|
| 142 |
+
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|
| 143 |
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|
| 144 |
+
testing/colored_0/000143_10.png testing/colored_1/000143_10.png
|
| 145 |
+
testing/colored_0/000144_10.png testing/colored_1/000144_10.png
|
| 146 |
+
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|
| 147 |
+
testing/colored_0/000146_10.png testing/colored_1/000146_10.png
|
| 148 |
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testing/colored_0/000147_10.png testing/colored_1/000147_10.png
|
| 149 |
+
testing/colored_0/000148_10.png testing/colored_1/000148_10.png
|
| 150 |
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testing/colored_0/000149_10.png testing/colored_1/000149_10.png
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| 151 |
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testing/colored_0/000150_10.png testing/colored_1/000150_10.png
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| 152 |
+
testing/colored_0/000151_10.png testing/colored_1/000151_10.png
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| 153 |
+
testing/colored_0/000152_10.png testing/colored_1/000152_10.png
|
| 154 |
+
testing/colored_0/000153_10.png testing/colored_1/000153_10.png
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| 155 |
+
testing/colored_0/000154_10.png testing/colored_1/000154_10.png
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| 156 |
+
testing/colored_0/000155_10.png testing/colored_1/000155_10.png
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| 157 |
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testing/colored_0/000156_10.png testing/colored_1/000156_10.png
|
| 158 |
+
testing/colored_0/000157_10.png testing/colored_1/000157_10.png
|
| 159 |
+
testing/colored_0/000158_10.png testing/colored_1/000158_10.png
|
| 160 |
+
testing/colored_0/000159_10.png testing/colored_1/000159_10.png
|
| 161 |
+
testing/colored_0/000160_10.png testing/colored_1/000160_10.png
|
| 162 |
+
testing/colored_0/000161_10.png testing/colored_1/000161_10.png
|
| 163 |
+
testing/colored_0/000162_10.png testing/colored_1/000162_10.png
|
| 164 |
+
testing/colored_0/000163_10.png testing/colored_1/000163_10.png
|
| 165 |
+
testing/colored_0/000164_10.png testing/colored_1/000164_10.png
|
| 166 |
+
testing/colored_0/000165_10.png testing/colored_1/000165_10.png
|
| 167 |
+
testing/colored_0/000166_10.png testing/colored_1/000166_10.png
|
| 168 |
+
testing/colored_0/000167_10.png testing/colored_1/000167_10.png
|
| 169 |
+
testing/colored_0/000168_10.png testing/colored_1/000168_10.png
|
| 170 |
+
testing/colored_0/000169_10.png testing/colored_1/000169_10.png
|
| 171 |
+
testing/colored_0/000170_10.png testing/colored_1/000170_10.png
|
| 172 |
+
testing/colored_0/000171_10.png testing/colored_1/000171_10.png
|
| 173 |
+
testing/colored_0/000172_10.png testing/colored_1/000172_10.png
|
| 174 |
+
testing/colored_0/000173_10.png testing/colored_1/000173_10.png
|
| 175 |
+
testing/colored_0/000174_10.png testing/colored_1/000174_10.png
|
| 176 |
+
testing/colored_0/000175_10.png testing/colored_1/000175_10.png
|
| 177 |
+
testing/colored_0/000176_10.png testing/colored_1/000176_10.png
|
| 178 |
+
testing/colored_0/000177_10.png testing/colored_1/000177_10.png
|
| 179 |
+
testing/colored_0/000178_10.png testing/colored_1/000178_10.png
|
| 180 |
+
testing/colored_0/000179_10.png testing/colored_1/000179_10.png
|
| 181 |
+
testing/colored_0/000180_10.png testing/colored_1/000180_10.png
|
| 182 |
+
testing/colored_0/000181_10.png testing/colored_1/000181_10.png
|
| 183 |
+
testing/colored_0/000182_10.png testing/colored_1/000182_10.png
|
| 184 |
+
testing/colored_0/000183_10.png testing/colored_1/000183_10.png
|
| 185 |
+
testing/colored_0/000184_10.png testing/colored_1/000184_10.png
|
| 186 |
+
testing/colored_0/000185_10.png testing/colored_1/000185_10.png
|
| 187 |
+
testing/colored_0/000186_10.png testing/colored_1/000186_10.png
|
| 188 |
+
testing/colored_0/000187_10.png testing/colored_1/000187_10.png
|
| 189 |
+
testing/colored_0/000188_10.png testing/colored_1/000188_10.png
|
| 190 |
+
testing/colored_0/000189_10.png testing/colored_1/000189_10.png
|
| 191 |
+
testing/colored_0/000190_10.png testing/colored_1/000190_10.png
|
| 192 |
+
testing/colored_0/000191_10.png testing/colored_1/000191_10.png
|
| 193 |
+
testing/colored_0/000192_10.png testing/colored_1/000192_10.png
|
| 194 |
+
testing/colored_0/000193_10.png testing/colored_1/000193_10.png
|
| 195 |
+
testing/colored_0/000194_10.png testing/colored_1/000194_10.png
|
KITTI12/kitti12_train180.txt
ADDED
|
@@ -0,0 +1,180 @@
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|
| 1 |
+
training/colored_0/000000_10.png training/colored_1/000000_10.png training/disp_occ/000000_10.png
|
| 2 |
+
training/colored_0/000001_10.png training/colored_1/000001_10.png training/disp_occ/000001_10.png
|
| 3 |
+
training/colored_0/000002_10.png training/colored_1/000002_10.png training/disp_occ/000002_10.png
|
| 4 |
+
training/colored_0/000003_10.png training/colored_1/000003_10.png training/disp_occ/000003_10.png
|
| 5 |
+
training/colored_0/000004_10.png training/colored_1/000004_10.png training/disp_occ/000004_10.png
|
| 6 |
+
training/colored_0/000005_10.png training/colored_1/000005_10.png training/disp_occ/000005_10.png
|
| 7 |
+
training/colored_0/000006_10.png training/colored_1/000006_10.png training/disp_occ/000006_10.png
|
| 8 |
+
training/colored_0/000007_10.png training/colored_1/000007_10.png training/disp_occ/000007_10.png
|
| 9 |
+
training/colored_0/000008_10.png training/colored_1/000008_10.png training/disp_occ/000008_10.png
|
| 10 |
+
training/colored_0/000009_10.png training/colored_1/000009_10.png training/disp_occ/000009_10.png
|
| 11 |
+
training/colored_0/000010_10.png training/colored_1/000010_10.png training/disp_occ/000010_10.png
|
| 12 |
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training/colored_0/000011_10.png training/colored_1/000011_10.png training/disp_occ/000011_10.png
|
| 13 |
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training/colored_0/000012_10.png training/colored_1/000012_10.png training/disp_occ/000012_10.png
|
| 14 |
+
training/colored_0/000013_10.png training/colored_1/000013_10.png training/disp_occ/000013_10.png
|
| 15 |
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training/colored_0/000014_10.png training/colored_1/000014_10.png training/disp_occ/000014_10.png
|
| 16 |
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training/colored_0/000015_10.png training/colored_1/000015_10.png training/disp_occ/000015_10.png
|
| 17 |
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training/colored_0/000016_10.png training/colored_1/000016_10.png training/disp_occ/000016_10.png
|
| 18 |
+
training/colored_0/000017_10.png training/colored_1/000017_10.png training/disp_occ/000017_10.png
|
| 19 |
+
training/colored_0/000018_10.png training/colored_1/000018_10.png training/disp_occ/000018_10.png
|
| 20 |
+
training/colored_0/000019_10.png training/colored_1/000019_10.png training/disp_occ/000019_10.png
|
| 21 |
+
training/colored_0/000020_10.png training/colored_1/000020_10.png training/disp_occ/000020_10.png
|
| 22 |
+
training/colored_0/000021_10.png training/colored_1/000021_10.png training/disp_occ/000021_10.png
|
| 23 |
+
training/colored_0/000022_10.png training/colored_1/000022_10.png training/disp_occ/000022_10.png
|
| 24 |
+
training/colored_0/000023_10.png training/colored_1/000023_10.png training/disp_occ/000023_10.png
|
| 25 |
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training/colored_0/000024_10.png training/colored_1/000024_10.png training/disp_occ/000024_10.png
|
| 26 |
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training/colored_0/000025_10.png training/colored_1/000025_10.png training/disp_occ/000025_10.png
|
| 27 |
+
training/colored_0/000026_10.png training/colored_1/000026_10.png training/disp_occ/000026_10.png
|
| 28 |
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training/colored_0/000027_10.png training/colored_1/000027_10.png training/disp_occ/000027_10.png
|
| 29 |
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training/colored_0/000028_10.png training/colored_1/000028_10.png training/disp_occ/000028_10.png
|
| 30 |
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training/colored_0/000029_10.png training/colored_1/000029_10.png training/disp_occ/000029_10.png
|
| 31 |
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training/colored_0/000030_10.png training/colored_1/000030_10.png training/disp_occ/000030_10.png
|
| 32 |
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training/colored_0/000031_10.png training/colored_1/000031_10.png training/disp_occ/000031_10.png
|
| 33 |
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training/colored_0/000032_10.png training/colored_1/000032_10.png training/disp_occ/000032_10.png
|
| 34 |
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training/colored_0/000033_10.png training/colored_1/000033_10.png training/disp_occ/000033_10.png
|
| 35 |
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training/colored_0/000034_10.png training/colored_1/000034_10.png training/disp_occ/000034_10.png
|
| 36 |
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training/colored_0/000035_10.png training/colored_1/000035_10.png training/disp_occ/000035_10.png
|
| 37 |
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training/colored_0/000036_10.png training/colored_1/000036_10.png training/disp_occ/000036_10.png
|
| 38 |
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training/colored_0/000037_10.png training/colored_1/000037_10.png training/disp_occ/000037_10.png
|
| 39 |
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training/colored_0/000038_10.png training/colored_1/000038_10.png training/disp_occ/000038_10.png
|
| 40 |
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training/colored_0/000039_10.png training/colored_1/000039_10.png training/disp_occ/000039_10.png
|
| 41 |
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training/colored_0/000040_10.png training/colored_1/000040_10.png training/disp_occ/000040_10.png
|
| 42 |
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training/colored_0/000041_10.png training/colored_1/000041_10.png training/disp_occ/000041_10.png
|
| 43 |
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training/colored_0/000042_10.png training/colored_1/000042_10.png training/disp_occ/000042_10.png
|
| 44 |
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training/colored_0/000043_10.png training/colored_1/000043_10.png training/disp_occ/000043_10.png
|
| 45 |
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training/colored_0/000044_10.png training/colored_1/000044_10.png training/disp_occ/000044_10.png
|
| 46 |
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training/colored_0/000045_10.png training/colored_1/000045_10.png training/disp_occ/000045_10.png
|
| 47 |
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training/colored_0/000046_10.png training/colored_1/000046_10.png training/disp_occ/000046_10.png
|
| 48 |
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training/colored_0/000047_10.png training/colored_1/000047_10.png training/disp_occ/000047_10.png
|
| 49 |
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training/colored_0/000048_10.png training/colored_1/000048_10.png training/disp_occ/000048_10.png
|
| 50 |
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training/colored_0/000049_10.png training/colored_1/000049_10.png training/disp_occ/000049_10.png
|
| 51 |
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training/colored_0/000050_10.png training/colored_1/000050_10.png training/disp_occ/000050_10.png
|
| 52 |
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training/colored_0/000051_10.png training/colored_1/000051_10.png training/disp_occ/000051_10.png
|
| 53 |
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|
| 54 |
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training/colored_0/000053_10.png training/colored_1/000053_10.png training/disp_occ/000053_10.png
|
| 55 |
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training/colored_0/000054_10.png training/colored_1/000054_10.png training/disp_occ/000054_10.png
|
| 56 |
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training/colored_0/000055_10.png training/colored_1/000055_10.png training/disp_occ/000055_10.png
|
| 57 |
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training/colored_0/000056_10.png training/colored_1/000056_10.png training/disp_occ/000056_10.png
|
| 58 |
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training/colored_0/000057_10.png training/colored_1/000057_10.png training/disp_occ/000057_10.png
|
| 59 |
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training/colored_0/000058_10.png training/colored_1/000058_10.png training/disp_occ/000058_10.png
|
| 60 |
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training/colored_0/000059_10.png training/colored_1/000059_10.png training/disp_occ/000059_10.png
|
| 61 |
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training/colored_0/000060_10.png training/colored_1/000060_10.png training/disp_occ/000060_10.png
|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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training/colored_0/000064_10.png training/colored_1/000064_10.png training/disp_occ/000064_10.png
|
| 66 |
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|
| 67 |
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| 68 |
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| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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training/colored_0/000075_10.png training/colored_1/000075_10.png training/disp_occ/000075_10.png
|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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training/colored_0/000089_10.png training/colored_1/000089_10.png training/disp_occ/000089_10.png
|
| 91 |
+
training/colored_0/000090_10.png training/colored_1/000090_10.png training/disp_occ/000090_10.png
|
| 92 |
+
training/colored_0/000091_10.png training/colored_1/000091_10.png training/disp_occ/000091_10.png
|
| 93 |
+
training/colored_0/000092_10.png training/colored_1/000092_10.png training/disp_occ/000092_10.png
|
| 94 |
+
training/colored_0/000093_10.png training/colored_1/000093_10.png training/disp_occ/000093_10.png
|
| 95 |
+
training/colored_0/000094_10.png training/colored_1/000094_10.png training/disp_occ/000094_10.png
|
| 96 |
+
training/colored_0/000095_10.png training/colored_1/000095_10.png training/disp_occ/000095_10.png
|
| 97 |
+
training/colored_0/000096_10.png training/colored_1/000096_10.png training/disp_occ/000096_10.png
|
| 98 |
+
training/colored_0/000097_10.png training/colored_1/000097_10.png training/disp_occ/000097_10.png
|
| 99 |
+
training/colored_0/000098_10.png training/colored_1/000098_10.png training/disp_occ/000098_10.png
|
| 100 |
+
training/colored_0/000099_10.png training/colored_1/000099_10.png training/disp_occ/000099_10.png
|
| 101 |
+
training/colored_0/000100_10.png training/colored_1/000100_10.png training/disp_occ/000100_10.png
|
| 102 |
+
training/colored_0/000101_10.png training/colored_1/000101_10.png training/disp_occ/000101_10.png
|
| 103 |
+
training/colored_0/000102_10.png training/colored_1/000102_10.png training/disp_occ/000102_10.png
|
| 104 |
+
training/colored_0/000103_10.png training/colored_1/000103_10.png training/disp_occ/000103_10.png
|
| 105 |
+
training/colored_0/000104_10.png training/colored_1/000104_10.png training/disp_occ/000104_10.png
|
| 106 |
+
training/colored_0/000105_10.png training/colored_1/000105_10.png training/disp_occ/000105_10.png
|
| 107 |
+
training/colored_0/000106_10.png training/colored_1/000106_10.png training/disp_occ/000106_10.png
|
| 108 |
+
training/colored_0/000107_10.png training/colored_1/000107_10.png training/disp_occ/000107_10.png
|
| 109 |
+
training/colored_0/000108_10.png training/colored_1/000108_10.png training/disp_occ/000108_10.png
|
| 110 |
+
training/colored_0/000109_10.png training/colored_1/000109_10.png training/disp_occ/000109_10.png
|
| 111 |
+
training/colored_0/000110_10.png training/colored_1/000110_10.png training/disp_occ/000110_10.png
|
| 112 |
+
training/colored_0/000111_10.png training/colored_1/000111_10.png training/disp_occ/000111_10.png
|
| 113 |
+
training/colored_0/000112_10.png training/colored_1/000112_10.png training/disp_occ/000112_10.png
|
| 114 |
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training/colored_0/000113_10.png training/colored_1/000113_10.png training/disp_occ/000113_10.png
|
| 115 |
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training/colored_0/000114_10.png training/colored_1/000114_10.png training/disp_occ/000114_10.png
|
| 116 |
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training/colored_0/000115_10.png training/colored_1/000115_10.png training/disp_occ/000115_10.png
|
| 117 |
+
training/colored_0/000116_10.png training/colored_1/000116_10.png training/disp_occ/000116_10.png
|
| 118 |
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training/colored_0/000117_10.png training/colored_1/000117_10.png training/disp_occ/000117_10.png
|
| 119 |
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training/colored_0/000118_10.png training/colored_1/000118_10.png training/disp_occ/000118_10.png
|
| 120 |
+
training/colored_0/000119_10.png training/colored_1/000119_10.png training/disp_occ/000119_10.png
|
| 121 |
+
training/colored_0/000120_10.png training/colored_1/000120_10.png training/disp_occ/000120_10.png
|
| 122 |
+
training/colored_0/000121_10.png training/colored_1/000121_10.png training/disp_occ/000121_10.png
|
| 123 |
+
training/colored_0/000122_10.png training/colored_1/000122_10.png training/disp_occ/000122_10.png
|
| 124 |
+
training/colored_0/000123_10.png training/colored_1/000123_10.png training/disp_occ/000123_10.png
|
| 125 |
+
training/colored_0/000124_10.png training/colored_1/000124_10.png training/disp_occ/000124_10.png
|
| 126 |
+
training/colored_0/000125_10.png training/colored_1/000125_10.png training/disp_occ/000125_10.png
|
| 127 |
+
training/colored_0/000126_10.png training/colored_1/000126_10.png training/disp_occ/000126_10.png
|
| 128 |
+
training/colored_0/000127_10.png training/colored_1/000127_10.png training/disp_occ/000127_10.png
|
| 129 |
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training/colored_0/000128_10.png training/colored_1/000128_10.png training/disp_occ/000128_10.png
|
| 130 |
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training/colored_0/000129_10.png training/colored_1/000129_10.png training/disp_occ/000129_10.png
|
| 131 |
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training/colored_0/000130_10.png training/colored_1/000130_10.png training/disp_occ/000130_10.png
|
| 132 |
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training/colored_0/000131_10.png training/colored_1/000131_10.png training/disp_occ/000131_10.png
|
| 133 |
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training/colored_0/000132_10.png training/colored_1/000132_10.png training/disp_occ/000132_10.png
|
| 134 |
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training/colored_0/000133_10.png training/colored_1/000133_10.png training/disp_occ/000133_10.png
|
| 135 |
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training/colored_0/000134_10.png training/colored_1/000134_10.png training/disp_occ/000134_10.png
|
| 136 |
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training/colored_0/000135_10.png training/colored_1/000135_10.png training/disp_occ/000135_10.png
|
| 137 |
+
training/colored_0/000136_10.png training/colored_1/000136_10.png training/disp_occ/000136_10.png
|
| 138 |
+
training/colored_0/000137_10.png training/colored_1/000137_10.png training/disp_occ/000137_10.png
|
| 139 |
+
training/colored_0/000138_10.png training/colored_1/000138_10.png training/disp_occ/000138_10.png
|
| 140 |
+
training/colored_0/000139_10.png training/colored_1/000139_10.png training/disp_occ/000139_10.png
|
| 141 |
+
training/colored_0/000140_10.png training/colored_1/000140_10.png training/disp_occ/000140_10.png
|
| 142 |
+
training/colored_0/000141_10.png training/colored_1/000141_10.png training/disp_occ/000141_10.png
|
| 143 |
+
training/colored_0/000142_10.png training/colored_1/000142_10.png training/disp_occ/000142_10.png
|
| 144 |
+
training/colored_0/000143_10.png training/colored_1/000143_10.png training/disp_occ/000143_10.png
|
| 145 |
+
training/colored_0/000144_10.png training/colored_1/000144_10.png training/disp_occ/000144_10.png
|
| 146 |
+
training/colored_0/000145_10.png training/colored_1/000145_10.png training/disp_occ/000145_10.png
|
| 147 |
+
training/colored_0/000146_10.png training/colored_1/000146_10.png training/disp_occ/000146_10.png
|
| 148 |
+
training/colored_0/000147_10.png training/colored_1/000147_10.png training/disp_occ/000147_10.png
|
| 149 |
+
training/colored_0/000148_10.png training/colored_1/000148_10.png training/disp_occ/000148_10.png
|
| 150 |
+
training/colored_0/000149_10.png training/colored_1/000149_10.png training/disp_occ/000149_10.png
|
| 151 |
+
training/colored_0/000150_10.png training/colored_1/000150_10.png training/disp_occ/000150_10.png
|
| 152 |
+
training/colored_0/000151_10.png training/colored_1/000151_10.png training/disp_occ/000151_10.png
|
| 153 |
+
training/colored_0/000152_10.png training/colored_1/000152_10.png training/disp_occ/000152_10.png
|
| 154 |
+
training/colored_0/000153_10.png training/colored_1/000153_10.png training/disp_occ/000153_10.png
|
| 155 |
+
training/colored_0/000154_10.png training/colored_1/000154_10.png training/disp_occ/000154_10.png
|
| 156 |
+
training/colored_0/000155_10.png training/colored_1/000155_10.png training/disp_occ/000155_10.png
|
| 157 |
+
training/colored_0/000156_10.png training/colored_1/000156_10.png training/disp_occ/000156_10.png
|
| 158 |
+
training/colored_0/000157_10.png training/colored_1/000157_10.png training/disp_occ/000157_10.png
|
| 159 |
+
training/colored_0/000158_10.png training/colored_1/000158_10.png training/disp_occ/000158_10.png
|
| 160 |
+
training/colored_0/000159_10.png training/colored_1/000159_10.png training/disp_occ/000159_10.png
|
| 161 |
+
training/colored_0/000160_10.png training/colored_1/000160_10.png training/disp_occ/000160_10.png
|
| 162 |
+
training/colored_0/000161_10.png training/colored_1/000161_10.png training/disp_occ/000161_10.png
|
| 163 |
+
training/colored_0/000162_10.png training/colored_1/000162_10.png training/disp_occ/000162_10.png
|
| 164 |
+
training/colored_0/000163_10.png training/colored_1/000163_10.png training/disp_occ/000163_10.png
|
| 165 |
+
training/colored_0/000164_10.png training/colored_1/000164_10.png training/disp_occ/000164_10.png
|
| 166 |
+
training/colored_0/000165_10.png training/colored_1/000165_10.png training/disp_occ/000165_10.png
|
| 167 |
+
training/colored_0/000166_10.png training/colored_1/000166_10.png training/disp_occ/000166_10.png
|
| 168 |
+
training/colored_0/000167_10.png training/colored_1/000167_10.png training/disp_occ/000167_10.png
|
| 169 |
+
training/colored_0/000168_10.png training/colored_1/000168_10.png training/disp_occ/000168_10.png
|
| 170 |
+
training/colored_0/000169_10.png training/colored_1/000169_10.png training/disp_occ/000169_10.png
|
| 171 |
+
training/colored_0/000170_10.png training/colored_1/000170_10.png training/disp_occ/000170_10.png
|
| 172 |
+
training/colored_0/000171_10.png training/colored_1/000171_10.png training/disp_occ/000171_10.png
|
| 173 |
+
training/colored_0/000172_10.png training/colored_1/000172_10.png training/disp_occ/000172_10.png
|
| 174 |
+
training/colored_0/000173_10.png training/colored_1/000173_10.png training/disp_occ/000173_10.png
|
| 175 |
+
training/colored_0/000174_10.png training/colored_1/000174_10.png training/disp_occ/000174_10.png
|
| 176 |
+
training/colored_0/000175_10.png training/colored_1/000175_10.png training/disp_occ/000175_10.png
|
| 177 |
+
training/colored_0/000176_10.png training/colored_1/000176_10.png training/disp_occ/000176_10.png
|
| 178 |
+
training/colored_0/000177_10.png training/colored_1/000177_10.png training/disp_occ/000177_10.png
|
| 179 |
+
training/colored_0/000178_10.png training/colored_1/000178_10.png training/disp_occ/000178_10.png
|
| 180 |
+
training/colored_0/000179_10.png training/colored_1/000179_10.png training/disp_occ/000179_10.png
|
KITTI12/kitti12_train194.txt
ADDED
|
@@ -0,0 +1,194 @@
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|
| 1 |
+
training/colored_0/000000_10.png training/colored_1/000000_10.png training/disp_occ/000000_10.png
|
| 2 |
+
training/colored_0/000001_10.png training/colored_1/000001_10.png training/disp_occ/000001_10.png
|
| 3 |
+
training/colored_0/000002_10.png training/colored_1/000002_10.png training/disp_occ/000002_10.png
|
| 4 |
+
training/colored_0/000003_10.png training/colored_1/000003_10.png training/disp_occ/000003_10.png
|
| 5 |
+
training/colored_0/000004_10.png training/colored_1/000004_10.png training/disp_occ/000004_10.png
|
| 6 |
+
training/colored_0/000005_10.png training/colored_1/000005_10.png training/disp_occ/000005_10.png
|
| 7 |
+
training/colored_0/000006_10.png training/colored_1/000006_10.png training/disp_occ/000006_10.png
|
| 8 |
+
training/colored_0/000007_10.png training/colored_1/000007_10.png training/disp_occ/000007_10.png
|
| 9 |
+
training/colored_0/000008_10.png training/colored_1/000008_10.png training/disp_occ/000008_10.png
|
| 10 |
+
training/colored_0/000009_10.png training/colored_1/000009_10.png training/disp_occ/000009_10.png
|
| 11 |
+
training/colored_0/000010_10.png training/colored_1/000010_10.png training/disp_occ/000010_10.png
|
| 12 |
+
training/colored_0/000011_10.png training/colored_1/000011_10.png training/disp_occ/000011_10.png
|
| 13 |
+
training/colored_0/000012_10.png training/colored_1/000012_10.png training/disp_occ/000012_10.png
|
| 14 |
+
training/colored_0/000013_10.png training/colored_1/000013_10.png training/disp_occ/000013_10.png
|
| 15 |
+
training/colored_0/000014_10.png training/colored_1/000014_10.png training/disp_occ/000014_10.png
|
| 16 |
+
training/colored_0/000015_10.png training/colored_1/000015_10.png training/disp_occ/000015_10.png
|
| 17 |
+
training/colored_0/000016_10.png training/colored_1/000016_10.png training/disp_occ/000016_10.png
|
| 18 |
+
training/colored_0/000017_10.png training/colored_1/000017_10.png training/disp_occ/000017_10.png
|
| 19 |
+
training/colored_0/000018_10.png training/colored_1/000018_10.png training/disp_occ/000018_10.png
|
| 20 |
+
training/colored_0/000019_10.png training/colored_1/000019_10.png training/disp_occ/000019_10.png
|
| 21 |
+
training/colored_0/000020_10.png training/colored_1/000020_10.png training/disp_occ/000020_10.png
|
| 22 |
+
training/colored_0/000021_10.png training/colored_1/000021_10.png training/disp_occ/000021_10.png
|
| 23 |
+
training/colored_0/000022_10.png training/colored_1/000022_10.png training/disp_occ/000022_10.png
|
| 24 |
+
training/colored_0/000023_10.png training/colored_1/000023_10.png training/disp_occ/000023_10.png
|
| 25 |
+
training/colored_0/000024_10.png training/colored_1/000024_10.png training/disp_occ/000024_10.png
|
| 26 |
+
training/colored_0/000025_10.png training/colored_1/000025_10.png training/disp_occ/000025_10.png
|
| 27 |
+
training/colored_0/000026_10.png training/colored_1/000026_10.png training/disp_occ/000026_10.png
|
| 28 |
+
training/colored_0/000027_10.png training/colored_1/000027_10.png training/disp_occ/000027_10.png
|
| 29 |
+
training/colored_0/000028_10.png training/colored_1/000028_10.png training/disp_occ/000028_10.png
|
| 30 |
+
training/colored_0/000029_10.png training/colored_1/000029_10.png training/disp_occ/000029_10.png
|
| 31 |
+
training/colored_0/000030_10.png training/colored_1/000030_10.png training/disp_occ/000030_10.png
|
| 32 |
+
training/colored_0/000031_10.png training/colored_1/000031_10.png training/disp_occ/000031_10.png
|
| 33 |
+
training/colored_0/000032_10.png training/colored_1/000032_10.png training/disp_occ/000032_10.png
|
| 34 |
+
training/colored_0/000033_10.png training/colored_1/000033_10.png training/disp_occ/000033_10.png
|
| 35 |
+
training/colored_0/000034_10.png training/colored_1/000034_10.png training/disp_occ/000034_10.png
|
| 36 |
+
training/colored_0/000035_10.png training/colored_1/000035_10.png training/disp_occ/000035_10.png
|
| 37 |
+
training/colored_0/000036_10.png training/colored_1/000036_10.png training/disp_occ/000036_10.png
|
| 38 |
+
training/colored_0/000037_10.png training/colored_1/000037_10.png training/disp_occ/000037_10.png
|
| 39 |
+
training/colored_0/000038_10.png training/colored_1/000038_10.png training/disp_occ/000038_10.png
|
| 40 |
+
training/colored_0/000039_10.png training/colored_1/000039_10.png training/disp_occ/000039_10.png
|
| 41 |
+
training/colored_0/000040_10.png training/colored_1/000040_10.png training/disp_occ/000040_10.png
|
| 42 |
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training/colored_0/000041_10.png training/colored_1/000041_10.png training/disp_occ/000041_10.png
|
| 43 |
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| 44 |
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|
| 45 |
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training/colored_0/000044_10.png training/colored_1/000044_10.png training/disp_occ/000044_10.png
|
| 46 |
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|
| 47 |
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training/colored_0/000046_10.png training/colored_1/000046_10.png training/disp_occ/000046_10.png
|
| 48 |
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training/colored_0/000047_10.png training/colored_1/000047_10.png training/disp_occ/000047_10.png
|
| 49 |
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training/colored_0/000048_10.png training/colored_1/000048_10.png training/disp_occ/000048_10.png
|
| 50 |
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training/colored_0/000049_10.png training/colored_1/000049_10.png training/disp_occ/000049_10.png
|
| 51 |
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training/colored_0/000050_10.png training/colored_1/000050_10.png training/disp_occ/000050_10.png
|
| 52 |
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training/colored_0/000051_10.png training/colored_1/000051_10.png training/disp_occ/000051_10.png
|
| 53 |
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training/colored_0/000052_10.png training/colored_1/000052_10.png training/disp_occ/000052_10.png
|
| 54 |
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training/colored_0/000053_10.png training/colored_1/000053_10.png training/disp_occ/000053_10.png
|
| 55 |
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training/colored_0/000054_10.png training/colored_1/000054_10.png training/disp_occ/000054_10.png
|
| 56 |
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training/colored_0/000055_10.png training/colored_1/000055_10.png training/disp_occ/000055_10.png
|
| 57 |
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training/colored_0/000056_10.png training/colored_1/000056_10.png training/disp_occ/000056_10.png
|
| 58 |
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training/colored_0/000057_10.png training/colored_1/000057_10.png training/disp_occ/000057_10.png
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| 59 |
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training/colored_0/000058_10.png training/colored_1/000058_10.png training/disp_occ/000058_10.png
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| 60 |
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training/colored_0/000059_10.png training/colored_1/000059_10.png training/disp_occ/000059_10.png
|
| 61 |
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| 62 |
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|
| 63 |
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training/colored_0/000062_10.png training/colored_1/000062_10.png training/disp_occ/000062_10.png
|
| 64 |
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training/colored_0/000063_10.png training/colored_1/000063_10.png training/disp_occ/000063_10.png
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| 65 |
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training/colored_0/000064_10.png training/colored_1/000064_10.png training/disp_occ/000064_10.png
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| 66 |
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training/colored_0/000065_10.png training/colored_1/000065_10.png training/disp_occ/000065_10.png
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| 67 |
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| 68 |
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training/colored_0/000067_10.png training/colored_1/000067_10.png training/disp_occ/000067_10.png
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| 69 |
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training/colored_0/000068_10.png training/colored_1/000068_10.png training/disp_occ/000068_10.png
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| 70 |
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training/colored_0/000069_10.png training/colored_1/000069_10.png training/disp_occ/000069_10.png
|
| 71 |
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training/colored_0/000070_10.png training/colored_1/000070_10.png training/disp_occ/000070_10.png
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| 72 |
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training/colored_0/000071_10.png training/colored_1/000071_10.png training/disp_occ/000071_10.png
|
| 73 |
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training/colored_0/000072_10.png training/colored_1/000072_10.png training/disp_occ/000072_10.png
|
| 74 |
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training/colored_0/000073_10.png training/colored_1/000073_10.png training/disp_occ/000073_10.png
|
| 75 |
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training/colored_0/000074_10.png training/colored_1/000074_10.png training/disp_occ/000074_10.png
|
| 76 |
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training/colored_0/000075_10.png training/colored_1/000075_10.png training/disp_occ/000075_10.png
|
| 77 |
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training/colored_0/000076_10.png training/colored_1/000076_10.png training/disp_occ/000076_10.png
|
| 78 |
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training/colored_0/000077_10.png training/colored_1/000077_10.png training/disp_occ/000077_10.png
|
| 79 |
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training/colored_0/000078_10.png training/colored_1/000078_10.png training/disp_occ/000078_10.png
|
| 80 |
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training/colored_0/000079_10.png training/colored_1/000079_10.png training/disp_occ/000079_10.png
|
| 81 |
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training/colored_0/000080_10.png training/colored_1/000080_10.png training/disp_occ/000080_10.png
|
| 82 |
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training/colored_0/000081_10.png training/colored_1/000081_10.png training/disp_occ/000081_10.png
|
| 83 |
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training/colored_0/000082_10.png training/colored_1/000082_10.png training/disp_occ/000082_10.png
|
| 84 |
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training/colored_0/000083_10.png training/colored_1/000083_10.png training/disp_occ/000083_10.png
|
| 85 |
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training/colored_0/000084_10.png training/colored_1/000084_10.png training/disp_occ/000084_10.png
|
| 86 |
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training/colored_0/000085_10.png training/colored_1/000085_10.png training/disp_occ/000085_10.png
|
| 87 |
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training/colored_0/000086_10.png training/colored_1/000086_10.png training/disp_occ/000086_10.png
|
| 88 |
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training/colored_0/000087_10.png training/colored_1/000087_10.png training/disp_occ/000087_10.png
|
| 89 |
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training/colored_0/000088_10.png training/colored_1/000088_10.png training/disp_occ/000088_10.png
|
| 90 |
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training/colored_0/000089_10.png training/colored_1/000089_10.png training/disp_occ/000089_10.png
|
| 91 |
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training/colored_0/000090_10.png training/colored_1/000090_10.png training/disp_occ/000090_10.png
|
| 92 |
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training/colored_0/000091_10.png training/colored_1/000091_10.png training/disp_occ/000091_10.png
|
| 93 |
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training/colored_0/000092_10.png training/colored_1/000092_10.png training/disp_occ/000092_10.png
|
| 94 |
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training/colored_0/000093_10.png training/colored_1/000093_10.png training/disp_occ/000093_10.png
|
| 95 |
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training/colored_0/000094_10.png training/colored_1/000094_10.png training/disp_occ/000094_10.png
|
| 96 |
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training/colored_0/000095_10.png training/colored_1/000095_10.png training/disp_occ/000095_10.png
|
| 97 |
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training/colored_0/000096_10.png training/colored_1/000096_10.png training/disp_occ/000096_10.png
|
| 98 |
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training/colored_0/000097_10.png training/colored_1/000097_10.png training/disp_occ/000097_10.png
|
| 99 |
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training/colored_0/000098_10.png training/colored_1/000098_10.png training/disp_occ/000098_10.png
|
| 100 |
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training/colored_0/000099_10.png training/colored_1/000099_10.png training/disp_occ/000099_10.png
|
| 101 |
+
training/colored_0/000100_10.png training/colored_1/000100_10.png training/disp_occ/000100_10.png
|
| 102 |
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training/colored_0/000101_10.png training/colored_1/000101_10.png training/disp_occ/000101_10.png
|
| 103 |
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training/colored_0/000102_10.png training/colored_1/000102_10.png training/disp_occ/000102_10.png
|
| 104 |
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training/colored_0/000103_10.png training/colored_1/000103_10.png training/disp_occ/000103_10.png
|
| 105 |
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training/colored_0/000104_10.png training/colored_1/000104_10.png training/disp_occ/000104_10.png
|
| 106 |
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training/colored_0/000105_10.png training/colored_1/000105_10.png training/disp_occ/000105_10.png
|
| 107 |
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training/colored_0/000106_10.png training/colored_1/000106_10.png training/disp_occ/000106_10.png
|
| 108 |
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training/colored_0/000107_10.png training/colored_1/000107_10.png training/disp_occ/000107_10.png
|
| 109 |
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training/colored_0/000108_10.png training/colored_1/000108_10.png training/disp_occ/000108_10.png
|
| 110 |
+
training/colored_0/000109_10.png training/colored_1/000109_10.png training/disp_occ/000109_10.png
|
| 111 |
+
training/colored_0/000110_10.png training/colored_1/000110_10.png training/disp_occ/000110_10.png
|
| 112 |
+
training/colored_0/000111_10.png training/colored_1/000111_10.png training/disp_occ/000111_10.png
|
| 113 |
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training/colored_0/000112_10.png training/colored_1/000112_10.png training/disp_occ/000112_10.png
|
| 114 |
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training/colored_0/000113_10.png training/colored_1/000113_10.png training/disp_occ/000113_10.png
|
| 115 |
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training/colored_0/000114_10.png training/colored_1/000114_10.png training/disp_occ/000114_10.png
|
| 116 |
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training/colored_0/000115_10.png training/colored_1/000115_10.png training/disp_occ/000115_10.png
|
| 117 |
+
training/colored_0/000116_10.png training/colored_1/000116_10.png training/disp_occ/000116_10.png
|
| 118 |
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training/colored_0/000117_10.png training/colored_1/000117_10.png training/disp_occ/000117_10.png
|
| 119 |
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training/colored_0/000118_10.png training/colored_1/000118_10.png training/disp_occ/000118_10.png
|
| 120 |
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training/colored_0/000119_10.png training/colored_1/000119_10.png training/disp_occ/000119_10.png
|
| 121 |
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training/colored_0/000120_10.png training/colored_1/000120_10.png training/disp_occ/000120_10.png
|
| 122 |
+
training/colored_0/000121_10.png training/colored_1/000121_10.png training/disp_occ/000121_10.png
|
| 123 |
+
training/colored_0/000122_10.png training/colored_1/000122_10.png training/disp_occ/000122_10.png
|
| 124 |
+
training/colored_0/000123_10.png training/colored_1/000123_10.png training/disp_occ/000123_10.png
|
| 125 |
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training/colored_0/000124_10.png training/colored_1/000124_10.png training/disp_occ/000124_10.png
|
| 126 |
+
training/colored_0/000125_10.png training/colored_1/000125_10.png training/disp_occ/000125_10.png
|
| 127 |
+
training/colored_0/000126_10.png training/colored_1/000126_10.png training/disp_occ/000126_10.png
|
| 128 |
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training/colored_0/000127_10.png training/colored_1/000127_10.png training/disp_occ/000127_10.png
|
| 129 |
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training/colored_0/000128_10.png training/colored_1/000128_10.png training/disp_occ/000128_10.png
|
| 130 |
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training/colored_0/000129_10.png training/colored_1/000129_10.png training/disp_occ/000129_10.png
|
| 131 |
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training/colored_0/000130_10.png training/colored_1/000130_10.png training/disp_occ/000130_10.png
|
| 132 |
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training/colored_0/000131_10.png training/colored_1/000131_10.png training/disp_occ/000131_10.png
|
| 133 |
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|
| 134 |
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training/colored_0/000133_10.png training/colored_1/000133_10.png training/disp_occ/000133_10.png
|
| 135 |
+
training/colored_0/000134_10.png training/colored_1/000134_10.png training/disp_occ/000134_10.png
|
| 136 |
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training/colored_0/000135_10.png training/colored_1/000135_10.png training/disp_occ/000135_10.png
|
| 137 |
+
training/colored_0/000136_10.png training/colored_1/000136_10.png training/disp_occ/000136_10.png
|
| 138 |
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training/colored_0/000137_10.png training/colored_1/000137_10.png training/disp_occ/000137_10.png
|
| 139 |
+
training/colored_0/000138_10.png training/colored_1/000138_10.png training/disp_occ/000138_10.png
|
| 140 |
+
training/colored_0/000139_10.png training/colored_1/000139_10.png training/disp_occ/000139_10.png
|
| 141 |
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training/colored_0/000140_10.png training/colored_1/000140_10.png training/disp_occ/000140_10.png
|
| 142 |
+
training/colored_0/000141_10.png training/colored_1/000141_10.png training/disp_occ/000141_10.png
|
| 143 |
+
training/colored_0/000142_10.png training/colored_1/000142_10.png training/disp_occ/000142_10.png
|
| 144 |
+
training/colored_0/000143_10.png training/colored_1/000143_10.png training/disp_occ/000143_10.png
|
| 145 |
+
training/colored_0/000144_10.png training/colored_1/000144_10.png training/disp_occ/000144_10.png
|
| 146 |
+
training/colored_0/000145_10.png training/colored_1/000145_10.png training/disp_occ/000145_10.png
|
| 147 |
+
training/colored_0/000146_10.png training/colored_1/000146_10.png training/disp_occ/000146_10.png
|
| 148 |
+
training/colored_0/000147_10.png training/colored_1/000147_10.png training/disp_occ/000147_10.png
|
| 149 |
+
training/colored_0/000148_10.png training/colored_1/000148_10.png training/disp_occ/000148_10.png
|
| 150 |
+
training/colored_0/000149_10.png training/colored_1/000149_10.png training/disp_occ/000149_10.png
|
| 151 |
+
training/colored_0/000150_10.png training/colored_1/000150_10.png training/disp_occ/000150_10.png
|
| 152 |
+
training/colored_0/000151_10.png training/colored_1/000151_10.png training/disp_occ/000151_10.png
|
| 153 |
+
training/colored_0/000152_10.png training/colored_1/000152_10.png training/disp_occ/000152_10.png
|
| 154 |
+
training/colored_0/000153_10.png training/colored_1/000153_10.png training/disp_occ/000153_10.png
|
| 155 |
+
training/colored_0/000154_10.png training/colored_1/000154_10.png training/disp_occ/000154_10.png
|
| 156 |
+
training/colored_0/000155_10.png training/colored_1/000155_10.png training/disp_occ/000155_10.png
|
| 157 |
+
training/colored_0/000156_10.png training/colored_1/000156_10.png training/disp_occ/000156_10.png
|
| 158 |
+
training/colored_0/000157_10.png training/colored_1/000157_10.png training/disp_occ/000157_10.png
|
| 159 |
+
training/colored_0/000158_10.png training/colored_1/000158_10.png training/disp_occ/000158_10.png
|
| 160 |
+
training/colored_0/000159_10.png training/colored_1/000159_10.png training/disp_occ/000159_10.png
|
| 161 |
+
training/colored_0/000160_10.png training/colored_1/000160_10.png training/disp_occ/000160_10.png
|
| 162 |
+
training/colored_0/000161_10.png training/colored_1/000161_10.png training/disp_occ/000161_10.png
|
| 163 |
+
training/colored_0/000162_10.png training/colored_1/000162_10.png training/disp_occ/000162_10.png
|
| 164 |
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training/colored_0/000163_10.png training/colored_1/000163_10.png training/disp_occ/000163_10.png
|
| 165 |
+
training/colored_0/000164_10.png training/colored_1/000164_10.png training/disp_occ/000164_10.png
|
| 166 |
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training/colored_0/000165_10.png training/colored_1/000165_10.png training/disp_occ/000165_10.png
|
| 167 |
+
training/colored_0/000166_10.png training/colored_1/000166_10.png training/disp_occ/000166_10.png
|
| 168 |
+
training/colored_0/000167_10.png training/colored_1/000167_10.png training/disp_occ/000167_10.png
|
| 169 |
+
training/colored_0/000168_10.png training/colored_1/000168_10.png training/disp_occ/000168_10.png
|
| 170 |
+
training/colored_0/000169_10.png training/colored_1/000169_10.png training/disp_occ/000169_10.png
|
| 171 |
+
training/colored_0/000170_10.png training/colored_1/000170_10.png training/disp_occ/000170_10.png
|
| 172 |
+
training/colored_0/000171_10.png training/colored_1/000171_10.png training/disp_occ/000171_10.png
|
| 173 |
+
training/colored_0/000172_10.png training/colored_1/000172_10.png training/disp_occ/000172_10.png
|
| 174 |
+
training/colored_0/000173_10.png training/colored_1/000173_10.png training/disp_occ/000173_10.png
|
| 175 |
+
training/colored_0/000174_10.png training/colored_1/000174_10.png training/disp_occ/000174_10.png
|
| 176 |
+
training/colored_0/000175_10.png training/colored_1/000175_10.png training/disp_occ/000175_10.png
|
| 177 |
+
training/colored_0/000176_10.png training/colored_1/000176_10.png training/disp_occ/000176_10.png
|
| 178 |
+
training/colored_0/000177_10.png training/colored_1/000177_10.png training/disp_occ/000177_10.png
|
| 179 |
+
training/colored_0/000178_10.png training/colored_1/000178_10.png training/disp_occ/000178_10.png
|
| 180 |
+
training/colored_0/000179_10.png training/colored_1/000179_10.png training/disp_occ/000179_10.png
|
| 181 |
+
training/colored_0/000180_10.png training/colored_1/000180_10.png training/disp_occ/000180_10.png
|
| 182 |
+
training/colored_0/000181_10.png training/colored_1/000181_10.png training/disp_occ/000181_10.png
|
| 183 |
+
training/colored_0/000182_10.png training/colored_1/000182_10.png training/disp_occ/000182_10.png
|
| 184 |
+
training/colored_0/000183_10.png training/colored_1/000183_10.png training/disp_occ/000183_10.png
|
| 185 |
+
training/colored_0/000184_10.png training/colored_1/000184_10.png training/disp_occ/000184_10.png
|
| 186 |
+
training/colored_0/000185_10.png training/colored_1/000185_10.png training/disp_occ/000185_10.png
|
| 187 |
+
training/colored_0/000186_10.png training/colored_1/000186_10.png training/disp_occ/000186_10.png
|
| 188 |
+
training/colored_0/000187_10.png training/colored_1/000187_10.png training/disp_occ/000187_10.png
|
| 189 |
+
training/colored_0/000188_10.png training/colored_1/000188_10.png training/disp_occ/000188_10.png
|
| 190 |
+
training/colored_0/000189_10.png training/colored_1/000189_10.png training/disp_occ/000189_10.png
|
| 191 |
+
training/colored_0/000190_10.png training/colored_1/000190_10.png training/disp_occ/000190_10.png
|
| 192 |
+
training/colored_0/000191_10.png training/colored_1/000191_10.png training/disp_occ/000191_10.png
|
| 193 |
+
training/colored_0/000192_10.png training/colored_1/000192_10.png training/disp_occ/000192_10.png
|
| 194 |
+
training/colored_0/000193_10.png training/colored_1/000193_10.png training/disp_occ/000193_10.png
|
KITTI12/kitti12_val14.txt
ADDED
|
@@ -0,0 +1,14 @@
|
|
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|
| 1 |
+
training/colored_0/000180_10.png training/colored_1/000180_10.png training/disp_occ/000180_10.png
|
| 2 |
+
training/colored_0/000181_10.png training/colored_1/000181_10.png training/disp_occ/000181_10.png
|
| 3 |
+
training/colored_0/000182_10.png training/colored_1/000182_10.png training/disp_occ/000182_10.png
|
| 4 |
+
training/colored_0/000183_10.png training/colored_1/000183_10.png training/disp_occ/000183_10.png
|
| 5 |
+
training/colored_0/000184_10.png training/colored_1/000184_10.png training/disp_occ/000184_10.png
|
| 6 |
+
training/colored_0/000185_10.png training/colored_1/000185_10.png training/disp_occ/000185_10.png
|
| 7 |
+
training/colored_0/000186_10.png training/colored_1/000186_10.png training/disp_occ/000186_10.png
|
| 8 |
+
training/colored_0/000187_10.png training/colored_1/000187_10.png training/disp_occ/000187_10.png
|
| 9 |
+
training/colored_0/000188_10.png training/colored_1/000188_10.png training/disp_occ/000188_10.png
|
| 10 |
+
training/colored_0/000189_10.png training/colored_1/000189_10.png training/disp_occ/000189_10.png
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| 11 |
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training/colored_0/000190_10.png training/colored_1/000190_10.png training/disp_occ/000190_10.png
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| 12 |
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training/colored_0/000191_10.png training/colored_1/000191_10.png training/disp_occ/000191_10.png
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| 13 |
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training/colored_0/000192_10.png training/colored_1/000192_10.png training/disp_occ/000192_10.png
|
| 14 |
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training/colored_0/000193_10.png training/colored_1/000193_10.png training/disp_occ/000193_10.png
|
KITTI15/README.md
ADDED
|
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| 1 |
+
# Prepare KITTI 2015 dataset
|
| 2 |
+
|
| 3 |
+
KITTI stereo dataset is available at the KITTI [official website](https://www.cvlibs.net/datasets/kitti/eval_scene_flow.php?benchmark=stereo).
|
| 4 |
+
Please download the dataset and place it in the `datasets/kitti15` directory.
|
| 5 |
+
The directory structure should be as follows:
|
| 6 |
+
|
| 7 |
+
```text
|
| 8 |
+
data
|
| 9 |
+
| kitti15
|
| 10 |
+
| | ├── training
|
| 11 |
+
| | | ├── disp_noc_0
|
| 12 |
+
| | | ├── disp_noc_1
|
| 13 |
+
| | | ├── disp_occ_0
|
| 14 |
+
| | | ├── disp_occ_1
|
| 15 |
+
| | | ├── flow_noc
|
| 16 |
+
| | | ├── flow_occ
|
| 17 |
+
| | | ├── image_2
|
| 18 |
+
| | | ├── image_3
|
| 19 |
+
| | | ├── obj_map
|
| 20 |
+
| | | ├── viz_flow_occ
|
| 21 |
+
| | | ├── viz_flow_occ_dilate_1
|
| 22 |
+
...
|
| 23 |
+
| | ├── testing
|
| 24 |
+
| | | ├── image_2
|
| 25 |
+
| | | ├── image_3
|
| 26 |
+
...
|
| 27 |
+
```
|
| 28 |
+
|
| 29 |
+
### Reference
|
| 30 |
+
|
| 31 |
+
```bibtex
|
| 32 |
+
@inproceedings{kitti2015,
|
| 33 |
+
title={Object scene flow for autonomous vehicles},
|
| 34 |
+
author={Menze, Moritz and Geiger, Andreas},
|
| 35 |
+
booktitle={CVPR},
|
| 36 |
+
year={2015}
|
| 37 |
+
}
|
| 38 |
+
```
|
KITTI15/kitti15_test.txt
ADDED
|
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| 1 |
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testing/image_2/000000_10.png testing/image_3/000000_10.png
|
| 2 |
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testing/image_2/000001_10.png testing/image_3/000001_10.png
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 22 |
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| 23 |
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| 32 |
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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| 52 |
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| 53 |
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| 54 |
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| 91 |
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| 92 |
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| 93 |
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| 94 |
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| 95 |
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| 96 |
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| 105 |
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|
| 106 |
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|
| 107 |
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| 108 |
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| 109 |
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| 110 |
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| 111 |
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| 112 |
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| 113 |
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| 114 |
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| 134 |
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|
| 135 |
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| 136 |
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|
| 140 |
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|
| 141 |
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| 142 |
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|
| 143 |
+
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|
| 144 |
+
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|
| 145 |
+
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|
| 146 |
+
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| 147 |
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| 148 |
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| 149 |
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| 150 |
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| 151 |
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| 152 |
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| 153 |
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| 154 |
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| 155 |
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| 156 |
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| 157 |
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| 158 |
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| 159 |
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| 160 |
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| 161 |
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| 162 |
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| 163 |
+
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|
| 164 |
+
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|
| 165 |
+
testing/image_2/000164_10.png testing/image_3/000164_10.png
|
| 166 |
+
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|
| 167 |
+
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|
| 168 |
+
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|
| 169 |
+
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|
| 170 |
+
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|
| 171 |
+
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|
| 172 |
+
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|
| 173 |
+
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|
| 174 |
+
testing/image_2/000173_10.png testing/image_3/000173_10.png
|
| 175 |
+
testing/image_2/000174_10.png testing/image_3/000174_10.png
|
| 176 |
+
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|
| 177 |
+
testing/image_2/000176_10.png testing/image_3/000176_10.png
|
| 178 |
+
testing/image_2/000177_10.png testing/image_3/000177_10.png
|
| 179 |
+
testing/image_2/000178_10.png testing/image_3/000178_10.png
|
| 180 |
+
testing/image_2/000179_10.png testing/image_3/000179_10.png
|
| 181 |
+
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|
| 182 |
+
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|
| 183 |
+
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|
| 184 |
+
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|
| 185 |
+
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|
| 186 |
+
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|
| 187 |
+
testing/image_2/000186_10.png testing/image_3/000186_10.png
|
| 188 |
+
testing/image_2/000187_10.png testing/image_3/000187_10.png
|
| 189 |
+
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|
| 190 |
+
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|
| 191 |
+
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|
| 192 |
+
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|
| 193 |
+
testing/image_2/000192_10.png testing/image_3/000192_10.png
|
| 194 |
+
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|
| 195 |
+
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|
| 196 |
+
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|
| 197 |
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|
| 198 |
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|
| 199 |
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|
| 200 |
+
testing/image_2/000199_10.png testing/image_3/000199_10.png
|
KITTI15/kitti15_train180.txt
ADDED
|
@@ -0,0 +1,180 @@
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|
| 1 |
+
training/image_2/000000_10.png training/image_3/000000_10.png training/disp_occ_0/000000_10.png
|
| 2 |
+
training/image_2/000001_10.png training/image_3/000001_10.png training/disp_occ_0/000001_10.png
|
| 3 |
+
training/image_2/000002_10.png training/image_3/000002_10.png training/disp_occ_0/000002_10.png
|
| 4 |
+
training/image_2/000003_10.png training/image_3/000003_10.png training/disp_occ_0/000003_10.png
|
| 5 |
+
training/image_2/000004_10.png training/image_3/000004_10.png training/disp_occ_0/000004_10.png
|
| 6 |
+
training/image_2/000005_10.png training/image_3/000005_10.png training/disp_occ_0/000005_10.png
|
| 7 |
+
training/image_2/000006_10.png training/image_3/000006_10.png training/disp_occ_0/000006_10.png
|
| 8 |
+
training/image_2/000007_10.png training/image_3/000007_10.png training/disp_occ_0/000007_10.png
|
| 9 |
+
training/image_2/000008_10.png training/image_3/000008_10.png training/disp_occ_0/000008_10.png
|
| 10 |
+
training/image_2/000009_10.png training/image_3/000009_10.png training/disp_occ_0/000009_10.png
|
| 11 |
+
training/image_2/000010_10.png training/image_3/000010_10.png training/disp_occ_0/000010_10.png
|
| 12 |
+
training/image_2/000011_10.png training/image_3/000011_10.png training/disp_occ_0/000011_10.png
|
| 13 |
+
training/image_2/000012_10.png training/image_3/000012_10.png training/disp_occ_0/000012_10.png
|
| 14 |
+
training/image_2/000013_10.png training/image_3/000013_10.png training/disp_occ_0/000013_10.png
|
| 15 |
+
training/image_2/000014_10.png training/image_3/000014_10.png training/disp_occ_0/000014_10.png
|
| 16 |
+
training/image_2/000015_10.png training/image_3/000015_10.png training/disp_occ_0/000015_10.png
|
| 17 |
+
training/image_2/000016_10.png training/image_3/000016_10.png training/disp_occ_0/000016_10.png
|
| 18 |
+
training/image_2/000017_10.png training/image_3/000017_10.png training/disp_occ_0/000017_10.png
|
| 19 |
+
training/image_2/000018_10.png training/image_3/000018_10.png training/disp_occ_0/000018_10.png
|
| 20 |
+
training/image_2/000019_10.png training/image_3/000019_10.png training/disp_occ_0/000019_10.png
|
| 21 |
+
training/image_2/000020_10.png training/image_3/000020_10.png training/disp_occ_0/000020_10.png
|
| 22 |
+
training/image_2/000021_10.png training/image_3/000021_10.png training/disp_occ_0/000021_10.png
|
| 23 |
+
training/image_2/000022_10.png training/image_3/000022_10.png training/disp_occ_0/000022_10.png
|
| 24 |
+
training/image_2/000023_10.png training/image_3/000023_10.png training/disp_occ_0/000023_10.png
|
| 25 |
+
training/image_2/000024_10.png training/image_3/000024_10.png training/disp_occ_0/000024_10.png
|
| 26 |
+
training/image_2/000025_10.png training/image_3/000025_10.png training/disp_occ_0/000025_10.png
|
| 27 |
+
training/image_2/000026_10.png training/image_3/000026_10.png training/disp_occ_0/000026_10.png
|
| 28 |
+
training/image_2/000027_10.png training/image_3/000027_10.png training/disp_occ_0/000027_10.png
|
| 29 |
+
training/image_2/000028_10.png training/image_3/000028_10.png training/disp_occ_0/000028_10.png
|
| 30 |
+
training/image_2/000029_10.png training/image_3/000029_10.png training/disp_occ_0/000029_10.png
|
| 31 |
+
training/image_2/000030_10.png training/image_3/000030_10.png training/disp_occ_0/000030_10.png
|
| 32 |
+
training/image_2/000031_10.png training/image_3/000031_10.png training/disp_occ_0/000031_10.png
|
| 33 |
+
training/image_2/000032_10.png training/image_3/000032_10.png training/disp_occ_0/000032_10.png
|
| 34 |
+
training/image_2/000033_10.png training/image_3/000033_10.png training/disp_occ_0/000033_10.png
|
| 35 |
+
training/image_2/000034_10.png training/image_3/000034_10.png training/disp_occ_0/000034_10.png
|
| 36 |
+
training/image_2/000035_10.png training/image_3/000035_10.png training/disp_occ_0/000035_10.png
|
| 37 |
+
training/image_2/000036_10.png training/image_3/000036_10.png training/disp_occ_0/000036_10.png
|
| 38 |
+
training/image_2/000037_10.png training/image_3/000037_10.png training/disp_occ_0/000037_10.png
|
| 39 |
+
training/image_2/000038_10.png training/image_3/000038_10.png training/disp_occ_0/000038_10.png
|
| 40 |
+
training/image_2/000039_10.png training/image_3/000039_10.png training/disp_occ_0/000039_10.png
|
| 41 |
+
training/image_2/000040_10.png training/image_3/000040_10.png training/disp_occ_0/000040_10.png
|
| 42 |
+
training/image_2/000041_10.png training/image_3/000041_10.png training/disp_occ_0/000041_10.png
|
| 43 |
+
training/image_2/000042_10.png training/image_3/000042_10.png training/disp_occ_0/000042_10.png
|
| 44 |
+
training/image_2/000043_10.png training/image_3/000043_10.png training/disp_occ_0/000043_10.png
|
| 45 |
+
training/image_2/000044_10.png training/image_3/000044_10.png training/disp_occ_0/000044_10.png
|
| 46 |
+
training/image_2/000045_10.png training/image_3/000045_10.png training/disp_occ_0/000045_10.png
|
| 47 |
+
training/image_2/000046_10.png training/image_3/000046_10.png training/disp_occ_0/000046_10.png
|
| 48 |
+
training/image_2/000047_10.png training/image_3/000047_10.png training/disp_occ_0/000047_10.png
|
| 49 |
+
training/image_2/000048_10.png training/image_3/000048_10.png training/disp_occ_0/000048_10.png
|
| 50 |
+
training/image_2/000049_10.png training/image_3/000049_10.png training/disp_occ_0/000049_10.png
|
| 51 |
+
training/image_2/000050_10.png training/image_3/000050_10.png training/disp_occ_0/000050_10.png
|
| 52 |
+
training/image_2/000051_10.png training/image_3/000051_10.png training/disp_occ_0/000051_10.png
|
| 53 |
+
training/image_2/000052_10.png training/image_3/000052_10.png training/disp_occ_0/000052_10.png
|
| 54 |
+
training/image_2/000053_10.png training/image_3/000053_10.png training/disp_occ_0/000053_10.png
|
| 55 |
+
training/image_2/000054_10.png training/image_3/000054_10.png training/disp_occ_0/000054_10.png
|
| 56 |
+
training/image_2/000055_10.png training/image_3/000055_10.png training/disp_occ_0/000055_10.png
|
| 57 |
+
training/image_2/000056_10.png training/image_3/000056_10.png training/disp_occ_0/000056_10.png
|
| 58 |
+
training/image_2/000057_10.png training/image_3/000057_10.png training/disp_occ_0/000057_10.png
|
| 59 |
+
training/image_2/000058_10.png training/image_3/000058_10.png training/disp_occ_0/000058_10.png
|
| 60 |
+
training/image_2/000059_10.png training/image_3/000059_10.png training/disp_occ_0/000059_10.png
|
| 61 |
+
training/image_2/000060_10.png training/image_3/000060_10.png training/disp_occ_0/000060_10.png
|
| 62 |
+
training/image_2/000061_10.png training/image_3/000061_10.png training/disp_occ_0/000061_10.png
|
| 63 |
+
training/image_2/000062_10.png training/image_3/000062_10.png training/disp_occ_0/000062_10.png
|
| 64 |
+
training/image_2/000063_10.png training/image_3/000063_10.png training/disp_occ_0/000063_10.png
|
| 65 |
+
training/image_2/000064_10.png training/image_3/000064_10.png training/disp_occ_0/000064_10.png
|
| 66 |
+
training/image_2/000065_10.png training/image_3/000065_10.png training/disp_occ_0/000065_10.png
|
| 67 |
+
training/image_2/000066_10.png training/image_3/000066_10.png training/disp_occ_0/000066_10.png
|
| 68 |
+
training/image_2/000067_10.png training/image_3/000067_10.png training/disp_occ_0/000067_10.png
|
| 69 |
+
training/image_2/000068_10.png training/image_3/000068_10.png training/disp_occ_0/000068_10.png
|
| 70 |
+
training/image_2/000069_10.png training/image_3/000069_10.png training/disp_occ_0/000069_10.png
|
| 71 |
+
training/image_2/000070_10.png training/image_3/000070_10.png training/disp_occ_0/000070_10.png
|
| 72 |
+
training/image_2/000071_10.png training/image_3/000071_10.png training/disp_occ_0/000071_10.png
|
| 73 |
+
training/image_2/000072_10.png training/image_3/000072_10.png training/disp_occ_0/000072_10.png
|
| 74 |
+
training/image_2/000073_10.png training/image_3/000073_10.png training/disp_occ_0/000073_10.png
|
| 75 |
+
training/image_2/000074_10.png training/image_3/000074_10.png training/disp_occ_0/000074_10.png
|
| 76 |
+
training/image_2/000075_10.png training/image_3/000075_10.png training/disp_occ_0/000075_10.png
|
| 77 |
+
training/image_2/000076_10.png training/image_3/000076_10.png training/disp_occ_0/000076_10.png
|
| 78 |
+
training/image_2/000077_10.png training/image_3/000077_10.png training/disp_occ_0/000077_10.png
|
| 79 |
+
training/image_2/000078_10.png training/image_3/000078_10.png training/disp_occ_0/000078_10.png
|
| 80 |
+
training/image_2/000079_10.png training/image_3/000079_10.png training/disp_occ_0/000079_10.png
|
| 81 |
+
training/image_2/000080_10.png training/image_3/000080_10.png training/disp_occ_0/000080_10.png
|
| 82 |
+
training/image_2/000081_10.png training/image_3/000081_10.png training/disp_occ_0/000081_10.png
|
| 83 |
+
training/image_2/000082_10.png training/image_3/000082_10.png training/disp_occ_0/000082_10.png
|
| 84 |
+
training/image_2/000083_10.png training/image_3/000083_10.png training/disp_occ_0/000083_10.png
|
| 85 |
+
training/image_2/000084_10.png training/image_3/000084_10.png training/disp_occ_0/000084_10.png
|
| 86 |
+
training/image_2/000085_10.png training/image_3/000085_10.png training/disp_occ_0/000085_10.png
|
| 87 |
+
training/image_2/000086_10.png training/image_3/000086_10.png training/disp_occ_0/000086_10.png
|
| 88 |
+
training/image_2/000087_10.png training/image_3/000087_10.png training/disp_occ_0/000087_10.png
|
| 89 |
+
training/image_2/000088_10.png training/image_3/000088_10.png training/disp_occ_0/000088_10.png
|
| 90 |
+
training/image_2/000089_10.png training/image_3/000089_10.png training/disp_occ_0/000089_10.png
|
| 91 |
+
training/image_2/000090_10.png training/image_3/000090_10.png training/disp_occ_0/000090_10.png
|
| 92 |
+
training/image_2/000091_10.png training/image_3/000091_10.png training/disp_occ_0/000091_10.png
|
| 93 |
+
training/image_2/000092_10.png training/image_3/000092_10.png training/disp_occ_0/000092_10.png
|
| 94 |
+
training/image_2/000093_10.png training/image_3/000093_10.png training/disp_occ_0/000093_10.png
|
| 95 |
+
training/image_2/000094_10.png training/image_3/000094_10.png training/disp_occ_0/000094_10.png
|
| 96 |
+
training/image_2/000095_10.png training/image_3/000095_10.png training/disp_occ_0/000095_10.png
|
| 97 |
+
training/image_2/000096_10.png training/image_3/000096_10.png training/disp_occ_0/000096_10.png
|
| 98 |
+
training/image_2/000097_10.png training/image_3/000097_10.png training/disp_occ_0/000097_10.png
|
| 99 |
+
training/image_2/000098_10.png training/image_3/000098_10.png training/disp_occ_0/000098_10.png
|
| 100 |
+
training/image_2/000099_10.png training/image_3/000099_10.png training/disp_occ_0/000099_10.png
|
| 101 |
+
training/image_2/000100_10.png training/image_3/000100_10.png training/disp_occ_0/000100_10.png
|
| 102 |
+
training/image_2/000101_10.png training/image_3/000101_10.png training/disp_occ_0/000101_10.png
|
| 103 |
+
training/image_2/000102_10.png training/image_3/000102_10.png training/disp_occ_0/000102_10.png
|
| 104 |
+
training/image_2/000103_10.png training/image_3/000103_10.png training/disp_occ_0/000103_10.png
|
| 105 |
+
training/image_2/000104_10.png training/image_3/000104_10.png training/disp_occ_0/000104_10.png
|
| 106 |
+
training/image_2/000105_10.png training/image_3/000105_10.png training/disp_occ_0/000105_10.png
|
| 107 |
+
training/image_2/000106_10.png training/image_3/000106_10.png training/disp_occ_0/000106_10.png
|
| 108 |
+
training/image_2/000107_10.png training/image_3/000107_10.png training/disp_occ_0/000107_10.png
|
| 109 |
+
training/image_2/000108_10.png training/image_3/000108_10.png training/disp_occ_0/000108_10.png
|
| 110 |
+
training/image_2/000109_10.png training/image_3/000109_10.png training/disp_occ_0/000109_10.png
|
| 111 |
+
training/image_2/000110_10.png training/image_3/000110_10.png training/disp_occ_0/000110_10.png
|
| 112 |
+
training/image_2/000111_10.png training/image_3/000111_10.png training/disp_occ_0/000111_10.png
|
| 113 |
+
training/image_2/000112_10.png training/image_3/000112_10.png training/disp_occ_0/000112_10.png
|
| 114 |
+
training/image_2/000113_10.png training/image_3/000113_10.png training/disp_occ_0/000113_10.png
|
| 115 |
+
training/image_2/000114_10.png training/image_3/000114_10.png training/disp_occ_0/000114_10.png
|
| 116 |
+
training/image_2/000115_10.png training/image_3/000115_10.png training/disp_occ_0/000115_10.png
|
| 117 |
+
training/image_2/000116_10.png training/image_3/000116_10.png training/disp_occ_0/000116_10.png
|
| 118 |
+
training/image_2/000117_10.png training/image_3/000117_10.png training/disp_occ_0/000117_10.png
|
| 119 |
+
training/image_2/000118_10.png training/image_3/000118_10.png training/disp_occ_0/000118_10.png
|
| 120 |
+
training/image_2/000119_10.png training/image_3/000119_10.png training/disp_occ_0/000119_10.png
|
| 121 |
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training/image_2/000120_10.png training/image_3/000120_10.png training/disp_occ_0/000120_10.png
|
| 122 |
+
training/image_2/000121_10.png training/image_3/000121_10.png training/disp_occ_0/000121_10.png
|
| 123 |
+
training/image_2/000122_10.png training/image_3/000122_10.png training/disp_occ_0/000122_10.png
|
| 124 |
+
training/image_2/000123_10.png training/image_3/000123_10.png training/disp_occ_0/000123_10.png
|
| 125 |
+
training/image_2/000124_10.png training/image_3/000124_10.png training/disp_occ_0/000124_10.png
|
| 126 |
+
training/image_2/000125_10.png training/image_3/000125_10.png training/disp_occ_0/000125_10.png
|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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training/image_2/000129_10.png training/image_3/000129_10.png training/disp_occ_0/000129_10.png
|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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training/image_2/000133_10.png training/image_3/000133_10.png training/disp_occ_0/000133_10.png
|
| 135 |
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training/image_2/000134_10.png training/image_3/000134_10.png training/disp_occ_0/000134_10.png
|
| 136 |
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training/image_2/000135_10.png training/image_3/000135_10.png training/disp_occ_0/000135_10.png
|
| 137 |
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training/image_2/000136_10.png training/image_3/000136_10.png training/disp_occ_0/000136_10.png
|
| 138 |
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training/image_2/000137_10.png training/image_3/000137_10.png training/disp_occ_0/000137_10.png
|
| 139 |
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training/image_2/000138_10.png training/image_3/000138_10.png training/disp_occ_0/000138_10.png
|
| 140 |
+
training/image_2/000139_10.png training/image_3/000139_10.png training/disp_occ_0/000139_10.png
|
| 141 |
+
training/image_2/000140_10.png training/image_3/000140_10.png training/disp_occ_0/000140_10.png
|
| 142 |
+
training/image_2/000141_10.png training/image_3/000141_10.png training/disp_occ_0/000141_10.png
|
| 143 |
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|
| 144 |
+
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|
| 145 |
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|
| 146 |
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training/image_2/000145_10.png training/image_3/000145_10.png training/disp_occ_0/000145_10.png
|
| 147 |
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training/image_2/000146_10.png training/image_3/000146_10.png training/disp_occ_0/000146_10.png
|
| 148 |
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|
| 149 |
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training/image_2/000148_10.png training/image_3/000148_10.png training/disp_occ_0/000148_10.png
|
| 150 |
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| 151 |
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|
| 152 |
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training/image_2/000151_10.png training/image_3/000151_10.png training/disp_occ_0/000151_10.png
|
| 153 |
+
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|
| 154 |
+
training/image_2/000153_10.png training/image_3/000153_10.png training/disp_occ_0/000153_10.png
|
| 155 |
+
training/image_2/000154_10.png training/image_3/000154_10.png training/disp_occ_0/000154_10.png
|
| 156 |
+
training/image_2/000155_10.png training/image_3/000155_10.png training/disp_occ_0/000155_10.png
|
| 157 |
+
training/image_2/000156_10.png training/image_3/000156_10.png training/disp_occ_0/000156_10.png
|
| 158 |
+
training/image_2/000157_10.png training/image_3/000157_10.png training/disp_occ_0/000157_10.png
|
| 159 |
+
training/image_2/000158_10.png training/image_3/000158_10.png training/disp_occ_0/000158_10.png
|
| 160 |
+
training/image_2/000159_10.png training/image_3/000159_10.png training/disp_occ_0/000159_10.png
|
| 161 |
+
training/image_2/000160_10.png training/image_3/000160_10.png training/disp_occ_0/000160_10.png
|
| 162 |
+
training/image_2/000161_10.png training/image_3/000161_10.png training/disp_occ_0/000161_10.png
|
| 163 |
+
training/image_2/000162_10.png training/image_3/000162_10.png training/disp_occ_0/000162_10.png
|
| 164 |
+
training/image_2/000163_10.png training/image_3/000163_10.png training/disp_occ_0/000163_10.png
|
| 165 |
+
training/image_2/000164_10.png training/image_3/000164_10.png training/disp_occ_0/000164_10.png
|
| 166 |
+
training/image_2/000165_10.png training/image_3/000165_10.png training/disp_occ_0/000165_10.png
|
| 167 |
+
training/image_2/000166_10.png training/image_3/000166_10.png training/disp_occ_0/000166_10.png
|
| 168 |
+
training/image_2/000167_10.png training/image_3/000167_10.png training/disp_occ_0/000167_10.png
|
| 169 |
+
training/image_2/000168_10.png training/image_3/000168_10.png training/disp_occ_0/000168_10.png
|
| 170 |
+
training/image_2/000169_10.png training/image_3/000169_10.png training/disp_occ_0/000169_10.png
|
| 171 |
+
training/image_2/000170_10.png training/image_3/000170_10.png training/disp_occ_0/000170_10.png
|
| 172 |
+
training/image_2/000171_10.png training/image_3/000171_10.png training/disp_occ_0/000171_10.png
|
| 173 |
+
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|
| 174 |
+
training/image_2/000173_10.png training/image_3/000173_10.png training/disp_occ_0/000173_10.png
|
| 175 |
+
training/image_2/000174_10.png training/image_3/000174_10.png training/disp_occ_0/000174_10.png
|
| 176 |
+
training/image_2/000175_10.png training/image_3/000175_10.png training/disp_occ_0/000175_10.png
|
| 177 |
+
training/image_2/000176_10.png training/image_3/000176_10.png training/disp_occ_0/000176_10.png
|
| 178 |
+
training/image_2/000177_10.png training/image_3/000177_10.png training/disp_occ_0/000177_10.png
|
| 179 |
+
training/image_2/000178_10.png training/image_3/000178_10.png training/disp_occ_0/000178_10.png
|
| 180 |
+
training/image_2/000179_10.png training/image_3/000179_10.png training/disp_occ_0/000179_10.png
|
KITTI15/kitti15_train200.txt
ADDED
|
@@ -0,0 +1,200 @@
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|
| 1 |
+
training/image_2/000000_10.png training/image_3/000000_10.png training/disp_occ_0/000000_10.png
|
| 2 |
+
training/image_2/000001_10.png training/image_3/000001_10.png training/disp_occ_0/000001_10.png
|
| 3 |
+
training/image_2/000002_10.png training/image_3/000002_10.png training/disp_occ_0/000002_10.png
|
| 4 |
+
training/image_2/000003_10.png training/image_3/000003_10.png training/disp_occ_0/000003_10.png
|
| 5 |
+
training/image_2/000004_10.png training/image_3/000004_10.png training/disp_occ_0/000004_10.png
|
| 6 |
+
training/image_2/000005_10.png training/image_3/000005_10.png training/disp_occ_0/000005_10.png
|
| 7 |
+
training/image_2/000006_10.png training/image_3/000006_10.png training/disp_occ_0/000006_10.png
|
| 8 |
+
training/image_2/000007_10.png training/image_3/000007_10.png training/disp_occ_0/000007_10.png
|
| 9 |
+
training/image_2/000008_10.png training/image_3/000008_10.png training/disp_occ_0/000008_10.png
|
| 10 |
+
training/image_2/000009_10.png training/image_3/000009_10.png training/disp_occ_0/000009_10.png
|
| 11 |
+
training/image_2/000010_10.png training/image_3/000010_10.png training/disp_occ_0/000010_10.png
|
| 12 |
+
training/image_2/000011_10.png training/image_3/000011_10.png training/disp_occ_0/000011_10.png
|
| 13 |
+
training/image_2/000012_10.png training/image_3/000012_10.png training/disp_occ_0/000012_10.png
|
| 14 |
+
training/image_2/000013_10.png training/image_3/000013_10.png training/disp_occ_0/000013_10.png
|
| 15 |
+
training/image_2/000014_10.png training/image_3/000014_10.png training/disp_occ_0/000014_10.png
|
| 16 |
+
training/image_2/000015_10.png training/image_3/000015_10.png training/disp_occ_0/000015_10.png
|
| 17 |
+
training/image_2/000016_10.png training/image_3/000016_10.png training/disp_occ_0/000016_10.png
|
| 18 |
+
training/image_2/000017_10.png training/image_3/000017_10.png training/disp_occ_0/000017_10.png
|
| 19 |
+
training/image_2/000018_10.png training/image_3/000018_10.png training/disp_occ_0/000018_10.png
|
| 20 |
+
training/image_2/000019_10.png training/image_3/000019_10.png training/disp_occ_0/000019_10.png
|
| 21 |
+
training/image_2/000020_10.png training/image_3/000020_10.png training/disp_occ_0/000020_10.png
|
| 22 |
+
training/image_2/000021_10.png training/image_3/000021_10.png training/disp_occ_0/000021_10.png
|
| 23 |
+
training/image_2/000022_10.png training/image_3/000022_10.png training/disp_occ_0/000022_10.png
|
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training/image_2/000183_10.png training/image_3/000183_10.png training/disp_occ_0/000183_10.png
|
| 185 |
+
training/image_2/000184_10.png training/image_3/000184_10.png training/disp_occ_0/000184_10.png
|
| 186 |
+
training/image_2/000185_10.png training/image_3/000185_10.png training/disp_occ_0/000185_10.png
|
| 187 |
+
training/image_2/000186_10.png training/image_3/000186_10.png training/disp_occ_0/000186_10.png
|
| 188 |
+
training/image_2/000187_10.png training/image_3/000187_10.png training/disp_occ_0/000187_10.png
|
| 189 |
+
training/image_2/000188_10.png training/image_3/000188_10.png training/disp_occ_0/000188_10.png
|
| 190 |
+
training/image_2/000189_10.png training/image_3/000189_10.png training/disp_occ_0/000189_10.png
|
| 191 |
+
training/image_2/000190_10.png training/image_3/000190_10.png training/disp_occ_0/000190_10.png
|
| 192 |
+
training/image_2/000191_10.png training/image_3/000191_10.png training/disp_occ_0/000191_10.png
|
| 193 |
+
training/image_2/000192_10.png training/image_3/000192_10.png training/disp_occ_0/000192_10.png
|
| 194 |
+
training/image_2/000193_10.png training/image_3/000193_10.png training/disp_occ_0/000193_10.png
|
| 195 |
+
training/image_2/000194_10.png training/image_3/000194_10.png training/disp_occ_0/000194_10.png
|
| 196 |
+
training/image_2/000195_10.png training/image_3/000195_10.png training/disp_occ_0/000195_10.png
|
| 197 |
+
training/image_2/000196_10.png training/image_3/000196_10.png training/disp_occ_0/000196_10.png
|
| 198 |
+
training/image_2/000197_10.png training/image_3/000197_10.png training/disp_occ_0/000197_10.png
|
| 199 |
+
training/image_2/000198_10.png training/image_3/000198_10.png training/disp_occ_0/000198_10.png
|
| 200 |
+
training/image_2/000199_10.png training/image_3/000199_10.png training/disp_occ_0/000199_10.png
|
KITTI15/kitti15_val20.txt
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
| 1 |
+
training/image_2/000180_10.png training/image_3/000180_10.png training/disp_occ_0/000180_10.png
|
| 2 |
+
training/image_2/000181_10.png training/image_3/000181_10.png training/disp_occ_0/000181_10.png
|
| 3 |
+
training/image_2/000182_10.png training/image_3/000182_10.png training/disp_occ_0/000182_10.png
|
| 4 |
+
training/image_2/000183_10.png training/image_3/000183_10.png training/disp_occ_0/000183_10.png
|
| 5 |
+
training/image_2/000184_10.png training/image_3/000184_10.png training/disp_occ_0/000184_10.png
|
| 6 |
+
training/image_2/000185_10.png training/image_3/000185_10.png training/disp_occ_0/000185_10.png
|
| 7 |
+
training/image_2/000186_10.png training/image_3/000186_10.png training/disp_occ_0/000186_10.png
|
| 8 |
+
training/image_2/000187_10.png training/image_3/000187_10.png training/disp_occ_0/000187_10.png
|
| 9 |
+
training/image_2/000188_10.png training/image_3/000188_10.png training/disp_occ_0/000188_10.png
|
| 10 |
+
training/image_2/000189_10.png training/image_3/000189_10.png training/disp_occ_0/000189_10.png
|
| 11 |
+
training/image_2/000190_10.png training/image_3/000190_10.png training/disp_occ_0/000190_10.png
|
| 12 |
+
training/image_2/000191_10.png training/image_3/000191_10.png training/disp_occ_0/000191_10.png
|
| 13 |
+
training/image_2/000192_10.png training/image_3/000192_10.png training/disp_occ_0/000192_10.png
|
| 14 |
+
training/image_2/000193_10.png training/image_3/000193_10.png training/disp_occ_0/000193_10.png
|
| 15 |
+
training/image_2/000194_10.png training/image_3/000194_10.png training/disp_occ_0/000194_10.png
|
| 16 |
+
training/image_2/000195_10.png training/image_3/000195_10.png training/disp_occ_0/000195_10.png
|
| 17 |
+
training/image_2/000196_10.png training/image_3/000196_10.png training/disp_occ_0/000196_10.png
|
| 18 |
+
training/image_2/000197_10.png training/image_3/000197_10.png training/disp_occ_0/000197_10.png
|
| 19 |
+
training/image_2/000198_10.png training/image_3/000198_10.png training/disp_occ_0/000198_10.png
|
| 20 |
+
training/image_2/000199_10.png training/image_3/000199_10.png training/disp_occ_0/000199_10.png
|
Middlebury/MiddEval3_train_all.txt
ADDED
|
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
MiddEval3/trainingQ/Adirondack/im0.png MiddEval3/trainingQ/Adirondack/im1.png MiddEval3/trainingQ/Adirondack/disp0GT.pfm
|
| 2 |
+
MiddEval3/trainingQ/ArtL/im0.png MiddEval3/trainingQ/ArtL/im1.png MiddEval3/trainingQ/ArtL/disp0GT.pfm
|
| 3 |
+
MiddEval3/trainingQ/Jadeplant/im0.png MiddEval3/trainingQ/Jadeplant/im1.png MiddEval3/trainingQ/Jadeplant/disp0GT.pfm
|
| 4 |
+
MiddEval3/trainingQ/Motorcycle/im0.png MiddEval3/trainingQ/Motorcycle/im1.png MiddEval3/trainingQ/Motorcycle/disp0GT.pfm
|
| 5 |
+
MiddEval3/trainingQ/MotorcycleE/im0.png MiddEval3/trainingQ/MotorcycleE/im1.png MiddEval3/trainingQ/MotorcycleE/disp0GT.pfm
|
| 6 |
+
MiddEval3/trainingQ/Piano/im0.png MiddEval3/trainingQ/Piano/im1.png MiddEval3/trainingQ/Piano/disp0GT.pfm
|
| 7 |
+
MiddEval3/trainingQ/PianoL/im0.png MiddEval3/trainingQ/PianoL/im1.png MiddEval3/trainingQ/PianoL/disp0GT.pfm
|
| 8 |
+
MiddEval3/trainingQ/Pipes/im0.png MiddEval3/trainingQ/Pipes/im1.png MiddEval3/trainingQ/Pipes/disp0GT.pfm
|
| 9 |
+
MiddEval3/trainingQ/Playroom/im0.png MiddEval3/trainingQ/Playroom/im1.png MiddEval3/trainingQ/Playroom/disp0GT.pfm
|
| 10 |
+
MiddEval3/trainingQ/Playtable/im0.png MiddEval3/trainingQ/Playtable/im1.png MiddEval3/trainingQ/Playtable/disp0GT.pfm
|
| 11 |
+
MiddEval3/trainingQ/PlaytableP/im0.png MiddEval3/trainingQ/PlaytableP/im1.png MiddEval3/trainingQ/PlaytableP/disp0GT.pfm
|
| 12 |
+
MiddEval3/trainingQ/Recycle/im0.png MiddEval3/trainingQ/Recycle/im1.png MiddEval3/trainingQ/Recycle/disp0GT.pfm
|
| 13 |
+
MiddEval3/trainingQ/Shelves/im0.png MiddEval3/trainingQ/Shelves/im1.png MiddEval3/trainingQ/Shelves/disp0GT.pfm
|
| 14 |
+
MiddEval3/trainingQ/Teddy/im0.png MiddEval3/trainingQ/Teddy/im1.png MiddEval3/trainingQ/Teddy/disp0GT.pfm
|
| 15 |
+
MiddEval3/trainingQ/Vintage/im0.png MiddEval3/trainingQ/Vintage/im1.png MiddEval3/trainingQ/Vintage/disp0GT.pfm
|
| 16 |
+
MiddEval3/trainingH/Adirondack/im0.png MiddEval3/trainingH/Adirondack/im1.png MiddEval3/trainingH/Adirondack/disp0GT.pfm
|
| 17 |
+
MiddEval3/trainingH/ArtL/im0.png MiddEval3/trainingH/ArtL/im1.png MiddEval3/trainingH/ArtL/disp0GT.pfm
|
| 18 |
+
MiddEval3/trainingH/Jadeplant/im0.png MiddEval3/trainingH/Jadeplant/im1.png MiddEval3/trainingH/Jadeplant/disp0GT.pfm
|
| 19 |
+
MiddEval3/trainingH/Motorcycle/im0.png MiddEval3/trainingH/Motorcycle/im1.png MiddEval3/trainingH/Motorcycle/disp0GT.pfm
|
| 20 |
+
MiddEval3/trainingH/MotorcycleE/im0.png MiddEval3/trainingH/MotorcycleE/im1.png MiddEval3/trainingH/MotorcycleE/disp0GT.pfm
|
| 21 |
+
MiddEval3/trainingH/Piano/im0.png MiddEval3/trainingH/Piano/im1.png MiddEval3/trainingH/Piano/disp0GT.pfm
|
| 22 |
+
MiddEval3/trainingH/PianoL/im0.png MiddEval3/trainingH/PianoL/im1.png MiddEval3/trainingH/PianoL/disp0GT.pfm
|
| 23 |
+
MiddEval3/trainingH/Pipes/im0.png MiddEval3/trainingH/Pipes/im1.png MiddEval3/trainingH/Pipes/disp0GT.pfm
|
| 24 |
+
MiddEval3/trainingH/Playroom/im0.png MiddEval3/trainingH/Playroom/im1.png MiddEval3/trainingH/Playroom/disp0GT.pfm
|
| 25 |
+
MiddEval3/trainingH/Playtable/im0.png MiddEval3/trainingH/Playtable/im1.png MiddEval3/trainingH/Playtable/disp0GT.pfm
|
| 26 |
+
MiddEval3/trainingH/PlaytableP/im0.png MiddEval3/trainingH/PlaytableP/im1.png MiddEval3/trainingH/PlaytableP/disp0GT.pfm
|
| 27 |
+
MiddEval3/trainingH/Recycle/im0.png MiddEval3/trainingH/Recycle/im1.png MiddEval3/trainingH/Recycle/disp0GT.pfm
|
| 28 |
+
MiddEval3/trainingH/Shelves/im0.png MiddEval3/trainingH/Shelves/im1.png MiddEval3/trainingH/Shelves/disp0GT.pfm
|
| 29 |
+
MiddEval3/trainingH/Teddy/im0.png MiddEval3/trainingH/Teddy/im1.png MiddEval3/trainingH/Teddy/disp0GT.pfm
|
| 30 |
+
MiddEval3/trainingH/Vintage/im0.png MiddEval3/trainingH/Vintage/im1.png MiddEval3/trainingH/Vintage/disp0GT.pfm
|
| 31 |
+
MiddEval3/trainingF/Adirondack/im0.png MiddEval3/trainingF/Adirondack/im1.png MiddEval3/trainingF/Adirondack/disp0GT.pfm
|
| 32 |
+
MiddEval3/trainingF/ArtL/im0.png MiddEval3/trainingF/ArtL/im1.png MiddEval3/trainingF/ArtL/disp0GT.pfm
|
| 33 |
+
MiddEval3/trainingF/Jadeplant/im0.png MiddEval3/trainingF/Jadeplant/im1.png MiddEval3/trainingF/Jadeplant/disp0GT.pfm
|
| 34 |
+
MiddEval3/trainingF/Motorcycle/im0.png MiddEval3/trainingF/Motorcycle/im1.png MiddEval3/trainingF/Motorcycle/disp0GT.pfm
|
| 35 |
+
MiddEval3/trainingF/MotorcycleE/im0.png MiddEval3/trainingF/MotorcycleE/im1.png MiddEval3/trainingF/MotorcycleE/disp0GT.pfm
|
| 36 |
+
MiddEval3/trainingF/Piano/im0.png MiddEval3/trainingF/Piano/im1.png MiddEval3/trainingF/Piano/disp0GT.pfm
|
| 37 |
+
MiddEval3/trainingF/PianoL/im0.png MiddEval3/trainingF/PianoL/im1.png MiddEval3/trainingF/PianoL/disp0GT.pfm
|
| 38 |
+
MiddEval3/trainingF/Pipes/im0.png MiddEval3/trainingF/Pipes/im1.png MiddEval3/trainingF/Pipes/disp0GT.pfm
|
| 39 |
+
MiddEval3/trainingF/Playroom/im0.png MiddEval3/trainingF/Playroom/im1.png MiddEval3/trainingF/Playroom/disp0GT.pfm
|
| 40 |
+
MiddEval3/trainingF/Playtable/im0.png MiddEval3/trainingF/Playtable/im1.png MiddEval3/trainingF/Playtable/disp0GT.pfm
|
| 41 |
+
MiddEval3/trainingF/PlaytableP/im0.png MiddEval3/trainingF/PlaytableP/im1.png MiddEval3/trainingF/PlaytableP/disp0GT.pfm
|
| 42 |
+
MiddEval3/trainingF/Recycle/im0.png MiddEval3/trainingF/Recycle/im1.png MiddEval3/trainingF/Recycle/disp0GT.pfm
|
| 43 |
+
MiddEval3/trainingF/Shelves/im0.png MiddEval3/trainingF/Shelves/im1.png MiddEval3/trainingF/Shelves/disp0GT.pfm
|
| 44 |
+
MiddEval3/trainingF/Teddy/im0.png MiddEval3/trainingF/Teddy/im1.png MiddEval3/trainingF/Teddy/disp0GT.pfm
|
| 45 |
+
MiddEval3/trainingF/Vintage/im0.png MiddEval3/trainingF/Vintage/im1.png MiddEval3/trainingF/Vintage/disp0GT.pfm
|
Middlebury/MiddEval3_train_f.txt
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
| 1 |
+
MiddEval3/trainingF/Adirondack/im0.png MiddEval3/trainingF/Adirondack/im1.png MiddEval3/trainingF/Adirondack/disp0GT.pfm
|
| 2 |
+
MiddEval3/trainingF/ArtL/im0.png MiddEval3/trainingF/ArtL/im1.png MiddEval3/trainingF/ArtL/disp0GT.pfm
|
| 3 |
+
MiddEval3/trainingF/Jadeplant/im0.png MiddEval3/trainingF/Jadeplant/im1.png MiddEval3/trainingF/Jadeplant/disp0GT.pfm
|
| 4 |
+
MiddEval3/trainingF/Motorcycle/im0.png MiddEval3/trainingF/Motorcycle/im1.png MiddEval3/trainingF/Motorcycle/disp0GT.pfm
|
| 5 |
+
MiddEval3/trainingF/MotorcycleE/im0.png MiddEval3/trainingF/MotorcycleE/im1.png MiddEval3/trainingF/MotorcycleE/disp0GT.pfm
|
| 6 |
+
MiddEval3/trainingF/Piano/im0.png MiddEval3/trainingF/Piano/im1.png MiddEval3/trainingF/Piano/disp0GT.pfm
|
| 7 |
+
MiddEval3/trainingF/PianoL/im0.png MiddEval3/trainingF/PianoL/im1.png MiddEval3/trainingF/PianoL/disp0GT.pfm
|
| 8 |
+
MiddEval3/trainingF/Pipes/im0.png MiddEval3/trainingF/Pipes/im1.png MiddEval3/trainingF/Pipes/disp0GT.pfm
|
| 9 |
+
MiddEval3/trainingF/Playroom/im0.png MiddEval3/trainingF/Playroom/im1.png MiddEval3/trainingF/Playroom/disp0GT.pfm
|
| 10 |
+
MiddEval3/trainingF/Playtable/im0.png MiddEval3/trainingF/Playtable/im1.png MiddEval3/trainingF/Playtable/disp0GT.pfm
|
| 11 |
+
MiddEval3/trainingF/PlaytableP/im0.png MiddEval3/trainingF/PlaytableP/im1.png MiddEval3/trainingF/PlaytableP/disp0GT.pfm
|
| 12 |
+
MiddEval3/trainingF/Recycle/im0.png MiddEval3/trainingF/Recycle/im1.png MiddEval3/trainingF/Recycle/disp0GT.pfm
|
| 13 |
+
MiddEval3/trainingF/Shelves/im0.png MiddEval3/trainingF/Shelves/im1.png MiddEval3/trainingF/Shelves/disp0GT.pfm
|
| 14 |
+
MiddEval3/trainingF/Teddy/im0.png MiddEval3/trainingF/Teddy/im1.png MiddEval3/trainingF/Teddy/disp0GT.pfm
|
| 15 |
+
MiddEval3/trainingF/Vintage/im0.png MiddEval3/trainingF/Vintage/im1.png MiddEval3/trainingF/Vintage/disp0GT.pfm
|
Middlebury/MiddEval3_train_h.txt
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
MiddEval3/trainingH/Adirondack/im0.png MiddEval3/trainingH/Adirondack/im1.png MiddEval3/trainingH/Adirondack/disp0GT.pfm
|
| 2 |
+
MiddEval3/trainingH/ArtL/im0.png MiddEval3/trainingH/ArtL/im1.png MiddEval3/trainingH/ArtL/disp0GT.pfm
|
| 3 |
+
MiddEval3/trainingH/Jadeplant/im0.png MiddEval3/trainingH/Jadeplant/im1.png MiddEval3/trainingH/Jadeplant/disp0GT.pfm
|
| 4 |
+
MiddEval3/trainingH/Motorcycle/im0.png MiddEval3/trainingH/Motorcycle/im1.png MiddEval3/trainingH/Motorcycle/disp0GT.pfm
|
| 5 |
+
MiddEval3/trainingH/MotorcycleE/im0.png MiddEval3/trainingH/MotorcycleE/im1.png MiddEval3/trainingH/MotorcycleE/disp0GT.pfm
|
| 6 |
+
MiddEval3/trainingH/Piano/im0.png MiddEval3/trainingH/Piano/im1.png MiddEval3/trainingH/Piano/disp0GT.pfm
|
| 7 |
+
MiddEval3/trainingH/PianoL/im0.png MiddEval3/trainingH/PianoL/im1.png MiddEval3/trainingH/PianoL/disp0GT.pfm
|
| 8 |
+
MiddEval3/trainingH/Pipes/im0.png MiddEval3/trainingH/Pipes/im1.png MiddEval3/trainingH/Pipes/disp0GT.pfm
|
| 9 |
+
MiddEval3/trainingH/Playroom/im0.png MiddEval3/trainingH/Playroom/im1.png MiddEval3/trainingH/Playroom/disp0GT.pfm
|
| 10 |
+
MiddEval3/trainingH/Playtable/im0.png MiddEval3/trainingH/Playtable/im1.png MiddEval3/trainingH/Playtable/disp0GT.pfm
|
| 11 |
+
MiddEval3/trainingH/PlaytableP/im0.png MiddEval3/trainingH/PlaytableP/im1.png MiddEval3/trainingH/PlaytableP/disp0GT.pfm
|
| 12 |
+
MiddEval3/trainingH/Recycle/im0.png MiddEval3/trainingH/Recycle/im1.png MiddEval3/trainingH/Recycle/disp0GT.pfm
|
| 13 |
+
MiddEval3/trainingH/Shelves/im0.png MiddEval3/trainingH/Shelves/im1.png MiddEval3/trainingH/Shelves/disp0GT.pfm
|
| 14 |
+
MiddEval3/trainingH/Teddy/im0.png MiddEval3/trainingH/Teddy/im1.png MiddEval3/trainingH/Teddy/disp0GT.pfm
|
| 15 |
+
MiddEval3/trainingH/Vintage/im0.png MiddEval3/trainingH/Vintage/im1.png MiddEval3/trainingH/Vintage/disp0GT.pfm
|
Middlebury/MiddEval3_train_q.txt
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
MiddEval3/trainingQ/Adirondack/im0.png MiddEval3/trainingQ/Adirondack/im1.png MiddEval3/trainingQ/Adirondack/disp0GT.pfm
|
| 2 |
+
MiddEval3/trainingQ/ArtL/im0.png MiddEval3/trainingQ/ArtL/im1.png MiddEval3/trainingQ/ArtL/disp0GT.pfm
|
| 3 |
+
MiddEval3/trainingQ/Jadeplant/im0.png MiddEval3/trainingQ/Jadeplant/im1.png MiddEval3/trainingQ/Jadeplant/disp0GT.pfm
|
| 4 |
+
MiddEval3/trainingQ/Motorcycle/im0.png MiddEval3/trainingQ/Motorcycle/im1.png MiddEval3/trainingQ/Motorcycle/disp0GT.pfm
|
| 5 |
+
MiddEval3/trainingQ/MotorcycleE/im0.png MiddEval3/trainingQ/MotorcycleE/im1.png MiddEval3/trainingQ/MotorcycleE/disp0GT.pfm
|
| 6 |
+
MiddEval3/trainingQ/Piano/im0.png MiddEval3/trainingQ/Piano/im1.png MiddEval3/trainingQ/Piano/disp0GT.pfm
|
| 7 |
+
MiddEval3/trainingQ/PianoL/im0.png MiddEval3/trainingQ/PianoL/im1.png MiddEval3/trainingQ/PianoL/disp0GT.pfm
|
| 8 |
+
MiddEval3/trainingQ/Pipes/im0.png MiddEval3/trainingQ/Pipes/im1.png MiddEval3/trainingQ/Pipes/disp0GT.pfm
|
| 9 |
+
MiddEval3/trainingQ/Playroom/im0.png MiddEval3/trainingQ/Playroom/im1.png MiddEval3/trainingQ/Playroom/disp0GT.pfm
|
| 10 |
+
MiddEval3/trainingQ/Playtable/im0.png MiddEval3/trainingQ/Playtable/im1.png MiddEval3/trainingQ/Playtable/disp0GT.pfm
|
| 11 |
+
MiddEval3/trainingQ/PlaytableP/im0.png MiddEval3/trainingQ/PlaytableP/im1.png MiddEval3/trainingQ/PlaytableP/disp0GT.pfm
|
| 12 |
+
MiddEval3/trainingQ/Recycle/im0.png MiddEval3/trainingQ/Recycle/im1.png MiddEval3/trainingQ/Recycle/disp0GT.pfm
|
| 13 |
+
MiddEval3/trainingQ/Shelves/im0.png MiddEval3/trainingQ/Shelves/im1.png MiddEval3/trainingQ/Shelves/disp0GT.pfm
|
| 14 |
+
MiddEval3/trainingQ/Teddy/im0.png MiddEval3/trainingQ/Teddy/im1.png MiddEval3/trainingQ/Teddy/disp0GT.pfm
|
| 15 |
+
MiddEval3/trainingQ/Vintage/im0.png MiddEval3/trainingQ/Vintage/im1.png MiddEval3/trainingQ/Vintage/disp0GT.pfm
|
Middlebury/README.md
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Prepare Middlebury Stereo Datasets
|
| 2 |
+
|
| 3 |
+
This dataset was created by the Middlebury Computer Vision Lab for evaluating the performance of stereo matching
|
| 4 |
+
algorithms. The dataset includes multiple sets of stereo images and corresponding disparity images, which can be
|
| 5 |
+
downloaded at the following website: http://vision.middlebury.edu/stereo/data
|
| 6 |
+
|
| 7 |
+
The directory structure should be as follows:
|
| 8 |
+
|
| 9 |
+
```text
|
| 10 |
+
data
|
| 11 |
+
├── Middlebury
|
| 12 |
+
| ├── MiddEval3
|
| 13 |
+
| | ├── TrainingQ
|
| 14 |
+
| | ├── TrainingH
|
| 15 |
+
| | ├── TrainingF
|
| 16 |
+
| | ├── TestingQ
|
| 17 |
+
| | ├── TestingH
|
| 18 |
+
| | ├── TestingF
|
| 19 |
+
...
|
| 20 |
+
```
|
| 21 |
+
|
| 22 |
+
_Optionally you can write your own txt file and use all the parts of the dataset._
|
| 23 |
+
|
| 24 |
+
### Reference
|
| 25 |
+
|
| 26 |
+
```bibtex
|
| 27 |
+
@inproceedings{scharstein2014high,
|
| 28 |
+
title={High-resolution stereo datasets with subpixel-accurate ground truth},
|
| 29 |
+
author={Scharstein, Daniel and Hirschm{\"u}ller, Heiko and Kitajima, York and Krathwohl, Greg and Ne{\v{s}}i{\'c}, Nera and Wang, Xi and Westling, Porter},
|
| 30 |
+
booktitle={Pattern Recognition: 36th German Conference, GCPR 2014, M{\"u}nster, Germany, September 2-5, 2014, Proceedings 36},
|
| 31 |
+
pages={31--42},
|
| 32 |
+
year={2014},
|
| 33 |
+
organization={Springer}
|
| 34 |
+
}
|
| 35 |
+
```
|
SceneFlow/FlyingThings3D_sttr_test.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
SceneFlow/FlyingThings3D_sttr_train.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
SceneFlow/README.md
ADDED
|
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Prepare SceneFlow dataset
|
| 2 |
+
|
| 3 |
+
Scene Flow Datasets is available at the Scene Flow [official website](https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html).
|
| 4 |
+
Please download the following parts of FlyingThings3D, Driving, Monkaa and place it in the `datasets/sceneflow` directory.
|
| 5 |
+
- RGB images (finalpass)
|
| 6 |
+
- RGB images (cleanpass)
|
| 7 |
+
- Disparity
|
| 8 |
+
|
| 9 |
+
And for FlyingThings3D subset, you need to download the following parts:
|
| 10 |
+
- RGB images (cleanpass)
|
| 11 |
+
- Disparity
|
| 12 |
+
- Disparity Occlusions
|
| 13 |
+
|
| 14 |
+
The directory structure should be as follows:
|
| 15 |
+
```text
|
| 16 |
+
data
|
| 17 |
+
| SceneFlow
|
| 18 |
+
| ├── Driving
|
| 19 |
+
| | ├── frames_finalpass
|
| 20 |
+
| | ├── frames_cleanpass
|
| 21 |
+
| | ├── disparity
|
| 22 |
+
...
|
| 23 |
+
| ├── Monkaa
|
| 24 |
+
| | ├── frames_finalpass
|
| 25 |
+
| | ├── frames_cleanpass
|
| 26 |
+
| | ├── disparity
|
| 27 |
+
...
|
| 28 |
+
| ├── FlyingThings3D
|
| 29 |
+
| | ├── frames_finalpass
|
| 30 |
+
| | ├── frames_cleanpass
|
| 31 |
+
| | ├── disparity
|
| 32 |
+
...
|
| 33 |
+
| ├── FlyingThings3D_subset
|
| 34 |
+
| | ├── train
|
| 35 |
+
| | | ├── frames_cleanpass
|
| 36 |
+
| | | ├── disparity
|
| 37 |
+
| | | ├── disparity_occlusions
|
| 38 |
+
| | ├── test
|
| 39 |
+
| | | ├── frames_cleanpass
|
| 40 |
+
| | | ├── disparity
|
| 41 |
+
| | | ├── disparity_occlusions
|
| 42 |
+
```
|
| 43 |
+
|
| 44 |
+
|
| 45 |
+
_Optionally you can write your own txt file and use all the parts of the dataset._
|
| 46 |
+
|
| 47 |
+
### Reference
|
| 48 |
+
|
| 49 |
+
```bibtex
|
| 50 |
+
@inproceedings{mayer2016large,
|
| 51 |
+
title={A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation},
|
| 52 |
+
author={Mayer, Nikolaus and Ilg, Eddy and Hausser, Philip and Fischer, Philipp and Cremers, Daniel and Dosovitskiy, Alexey and Brox, Thomas},
|
| 53 |
+
booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
|
| 54 |
+
pages={4040--4048},
|
| 55 |
+
year={2016}
|
| 56 |
+
}
|
| 57 |
+
```
|
SceneFlow/sceneflow_cleanpass_test.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
SceneFlow/sceneflow_cleanpass_train.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
SceneFlow/sceneflow_finalpass_test.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
SceneFlow/sceneflow_finalpass_train.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Sintel/README.md
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Prepare MPI-Sintel Stereo Training Dataset
|
| 2 |
+
|
| 3 |
+
Sintel Dataset contains 1064 pairs of images with disparity maps. </br>
|
| 4 |
+
For each of the training sequences, it contains:
|
| 5 |
+
- The "clean" and "final" passes rendered from two cameras with a baseline of
|
| 6 |
+
10 cm apart.
|
| 7 |
+
- The negative disparities.
|
| 8 |
+
- A mask showing the occluded pixels (which are visible in the left frame, but occluded in the right frame).
|
| 9 |
+
- A mask showing the out-of-frame pixels, which are visible in the left frame, but leave the visible area in the right frame. These pixels are not taken into account for the evaluation.
|
| 10 |
+
|
| 11 |
+
Dataset can be downloaded at the following website: http://sintel.is.tue.mpg.de/stereo
|
| 12 |
+
|
| 13 |
+
The directory structure should be:
|
| 14 |
+
```text
|
| 15 |
+
Sintel
|
| 16 |
+
├── training
|
| 17 |
+
| ├── clean_left
|
| 18 |
+
| | ├── alley_1
|
| 19 |
+
| | ├── alley_2
|
| 20 |
+
...
|
| 21 |
+
| ├── clean_right
|
| 22 |
+
| | ├── alley_1
|
| 23 |
+
| | ├── alley_2
|
| 24 |
+
...
|
| 25 |
+
| ├── disparities
|
| 26 |
+
| | ├── alley_1
|
| 27 |
+
| | ├── alley_2
|
| 28 |
+
...
|
| 29 |
+
| ├── final_left
|
| 30 |
+
| | ├── alley_1
|
| 31 |
+
| | ├── alley_2
|
| 32 |
+
...
|
| 33 |
+
| ├── final_right
|
| 34 |
+
| | ├── alley_1
|
| 35 |
+
| | ├── alley_2
|
| 36 |
+
...
|
| 37 |
+
| ├── occlusions
|
| 38 |
+
| | ├── alley_1
|
| 39 |
+
| | ├── alley_2
|
| 40 |
+
...
|
| 41 |
+
|
| 42 |
+
```
|
| 43 |
+
|
| 44 |
+
_Optionally you can write your own txt file and use all the parts of the dataset._
|
| 45 |
+
|
| 46 |
+
```bibtex
|
| 47 |
+
@inproceedings{Butler:ECCV:2012,
|
| 48 |
+
title = {A naturalistic open source movie for optical flow evaluation},
|
| 49 |
+
author = {Butler, D. J. and Wulff, J. and Stanley, G. B. and Black, M. J.},
|
| 50 |
+
booktitle = {European Conf. on Computer Vision (ECCV)},
|
| 51 |
+
editor = {{A. Fitzgibbon et al. (Eds.)}},
|
| 52 |
+
publisher = {Springer-Verlag},
|
| 53 |
+
series = {Part IV, LNCS 7577},
|
| 54 |
+
month = oct,
|
| 55 |
+
pages = {611--625},
|
| 56 |
+
year = {2012}
|
| 57 |
+
}
|
| 58 |
+
```
|
Sintel/Sintel_clean_train.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Sintel/Sintel_final_train.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Spring/README.md
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Prepare Spring Stereo Dataset
|
| 2 |
+
|
| 3 |
+
The Spring dataset is a computer-generated dataset for training and evaluating scene flow, optical flow and stereo methods. The dataset consists of stereoscopic video sequences and ground truth scene flow in its standard parametrization with reference frame disparity, target frame disparity and optical flow.
|
| 4 |
+
</br>
|
| 5 |
+
|
| 6 |
+
Dataset can be downloaded at the following website: https://darus.uni-stuttgart.de/dataset.xhtml?persistentId=doi:10.18419/darus-3376
|
| 7 |
+
|
| 8 |
+
The directory structure should be:
|
| 9 |
+
```text
|
| 10 |
+
spring
|
| 11 |
+
└───train
|
| 12 |
+
| └───0001
|
| 13 |
+
| | └───frame_left
|
| 14 |
+
| | └───frame_right
|
| 15 |
+
| | └───disp1_left
|
| 16 |
+
| | └───disp1_right
|
| 17 |
+
|
| 18 |
+
| ...
|
| 19 |
+
└───test
|
| 20 |
+
| └───0001
|
| 21 |
+
| | └───frame_left
|
| 22 |
+
| | └───frame_right
|
| 23 |
+
```
|
| 24 |
+
|
| 25 |
+
_Optionally you can write your own txt file and use all the parts of the dataset._
|
| 26 |
+
|
| 27 |
+
```bibtex
|
| 28 |
+
@inproceedings{mehl2023spring,
|
| 29 |
+
title={Spring: A high-resolution high-detail dataset and benchmark for scene flow, optical flow and stereo},
|
| 30 |
+
author={Mehl, Lukas and Schmalfuss, Jenny and Jahedi, Azin and Nalivayko, Yaroslava and Bruhn, Andr{\'e}s},
|
| 31 |
+
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
|
| 32 |
+
pages={4981--4991},
|
| 33 |
+
year={2023}
|
| 34 |
+
}
|
| 35 |
+
```
|
Spring/spring_test.txt
ADDED
|
@@ -0,0 +1,1000 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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| 1 |
+
test/0003/frame_left/frame_left_0001.png test/0003/frame_right/frame_right_0001.png
|
| 2 |
+
test/0003/frame_left/frame_left_0002.png test/0003/frame_right/frame_right_0002.png
|
| 3 |
+
test/0003/frame_left/frame_left_0003.png test/0003/frame_right/frame_right_0003.png
|
| 4 |
+
test/0003/frame_left/frame_left_0004.png test/0003/frame_right/frame_right_0004.png
|
| 5 |
+
test/0003/frame_left/frame_left_0005.png test/0003/frame_right/frame_right_0005.png
|
| 6 |
+
test/0003/frame_left/frame_left_0006.png test/0003/frame_right/frame_right_0006.png
|
| 7 |
+
test/0003/frame_left/frame_left_0007.png test/0003/frame_right/frame_right_0007.png
|
| 8 |
+
test/0003/frame_left/frame_left_0008.png test/0003/frame_right/frame_right_0008.png
|
| 9 |
+
test/0003/frame_left/frame_left_0009.png test/0003/frame_right/frame_right_0009.png
|
| 10 |
+
test/0003/frame_left/frame_left_0010.png test/0003/frame_right/frame_right_0010.png
|
| 11 |
+
test/0003/frame_left/frame_left_0011.png test/0003/frame_right/frame_right_0011.png
|
| 12 |
+
test/0003/frame_left/frame_left_0012.png test/0003/frame_right/frame_right_0012.png
|
| 13 |
+
test/0003/frame_left/frame_left_0013.png test/0003/frame_right/frame_right_0013.png
|
| 14 |
+
test/0003/frame_left/frame_left_0014.png test/0003/frame_right/frame_right_0014.png
|
| 15 |
+
test/0003/frame_left/frame_left_0015.png test/0003/frame_right/frame_right_0015.png
|
| 16 |
+
test/0003/frame_left/frame_left_0016.png test/0003/frame_right/frame_right_0016.png
|
| 17 |
+
test/0003/frame_left/frame_left_0017.png test/0003/frame_right/frame_right_0017.png
|
| 18 |
+
test/0003/frame_left/frame_left_0018.png test/0003/frame_right/frame_right_0018.png
|
| 19 |
+
test/0003/frame_left/frame_left_0019.png test/0003/frame_right/frame_right_0019.png
|
| 20 |
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| 935 |
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test/0046/frame_left/frame_left_0052.png test/0046/frame_right/frame_right_0052.png
|
| 936 |
+
test/0046/frame_left/frame_left_0053.png test/0046/frame_right/frame_right_0053.png
|
| 937 |
+
test/0046/frame_left/frame_left_0054.png test/0046/frame_right/frame_right_0054.png
|
| 938 |
+
test/0046/frame_left/frame_left_0055.png test/0046/frame_right/frame_right_0055.png
|
| 939 |
+
test/0046/frame_left/frame_left_0056.png test/0046/frame_right/frame_right_0056.png
|
| 940 |
+
test/0046/frame_left/frame_left_0057.png test/0046/frame_right/frame_right_0057.png
|
| 941 |
+
test/0046/frame_left/frame_left_0058.png test/0046/frame_right/frame_right_0058.png
|
| 942 |
+
test/0046/frame_left/frame_left_0059.png test/0046/frame_right/frame_right_0059.png
|
| 943 |
+
test/0046/frame_left/frame_left_0060.png test/0046/frame_right/frame_right_0060.png
|
| 944 |
+
test/0046/frame_left/frame_left_0061.png test/0046/frame_right/frame_right_0061.png
|
| 945 |
+
test/0046/frame_left/frame_left_0062.png test/0046/frame_right/frame_right_0062.png
|
| 946 |
+
test/0046/frame_left/frame_left_0063.png test/0046/frame_right/frame_right_0063.png
|
| 947 |
+
test/0046/frame_left/frame_left_0064.png test/0046/frame_right/frame_right_0064.png
|
| 948 |
+
test/0046/frame_left/frame_left_0065.png test/0046/frame_right/frame_right_0065.png
|
| 949 |
+
test/0046/frame_left/frame_left_0066.png test/0046/frame_right/frame_right_0066.png
|
| 950 |
+
test/0046/frame_left/frame_left_0067.png test/0046/frame_right/frame_right_0067.png
|
| 951 |
+
test/0046/frame_left/frame_left_0068.png test/0046/frame_right/frame_right_0068.png
|
| 952 |
+
test/0046/frame_left/frame_left_0069.png test/0046/frame_right/frame_right_0069.png
|
| 953 |
+
test/0046/frame_left/frame_left_0070.png test/0046/frame_right/frame_right_0070.png
|
| 954 |
+
test/0046/frame_left/frame_left_0071.png test/0046/frame_right/frame_right_0071.png
|
| 955 |
+
test/0046/frame_left/frame_left_0072.png test/0046/frame_right/frame_right_0072.png
|
| 956 |
+
test/0046/frame_left/frame_left_0073.png test/0046/frame_right/frame_right_0073.png
|
| 957 |
+
test/0046/frame_left/frame_left_0074.png test/0046/frame_right/frame_right_0074.png
|
| 958 |
+
test/0046/frame_left/frame_left_0075.png test/0046/frame_right/frame_right_0075.png
|
| 959 |
+
test/0046/frame_left/frame_left_0076.png test/0046/frame_right/frame_right_0076.png
|
| 960 |
+
test/0046/frame_left/frame_left_0077.png test/0046/frame_right/frame_right_0077.png
|
| 961 |
+
test/0046/frame_left/frame_left_0078.png test/0046/frame_right/frame_right_0078.png
|
| 962 |
+
test/0046/frame_left/frame_left_0079.png test/0046/frame_right/frame_right_0079.png
|
| 963 |
+
test/0046/frame_left/frame_left_0080.png test/0046/frame_right/frame_right_0080.png
|
| 964 |
+
test/0046/frame_left/frame_left_0081.png test/0046/frame_right/frame_right_0081.png
|
| 965 |
+
test/0046/frame_left/frame_left_0082.png test/0046/frame_right/frame_right_0082.png
|
| 966 |
+
test/0046/frame_left/frame_left_0083.png test/0046/frame_right/frame_right_0083.png
|
| 967 |
+
test/0046/frame_left/frame_left_0084.png test/0046/frame_right/frame_right_0084.png
|
| 968 |
+
test/0046/frame_left/frame_left_0085.png test/0046/frame_right/frame_right_0085.png
|
| 969 |
+
test/0046/frame_left/frame_left_0086.png test/0046/frame_right/frame_right_0086.png
|
| 970 |
+
test/0046/frame_left/frame_left_0087.png test/0046/frame_right/frame_right_0087.png
|
| 971 |
+
test/0046/frame_left/frame_left_0088.png test/0046/frame_right/frame_right_0088.png
|
| 972 |
+
test/0046/frame_left/frame_left_0089.png test/0046/frame_right/frame_right_0089.png
|
| 973 |
+
test/0046/frame_left/frame_left_0090.png test/0046/frame_right/frame_right_0090.png
|
| 974 |
+
test/0046/frame_left/frame_left_0091.png test/0046/frame_right/frame_right_0091.png
|
| 975 |
+
test/0046/frame_left/frame_left_0092.png test/0046/frame_right/frame_right_0092.png
|
| 976 |
+
test/0046/frame_left/frame_left_0093.png test/0046/frame_right/frame_right_0093.png
|
| 977 |
+
test/0046/frame_left/frame_left_0094.png test/0046/frame_right/frame_right_0094.png
|
| 978 |
+
test/0046/frame_left/frame_left_0095.png test/0046/frame_right/frame_right_0095.png
|
| 979 |
+
test/0046/frame_left/frame_left_0096.png test/0046/frame_right/frame_right_0096.png
|
| 980 |
+
test/0046/frame_left/frame_left_0097.png test/0046/frame_right/frame_right_0097.png
|
| 981 |
+
test/0046/frame_left/frame_left_0098.png test/0046/frame_right/frame_right_0098.png
|
| 982 |
+
test/0046/frame_left/frame_left_0099.png test/0046/frame_right/frame_right_0099.png
|
| 983 |
+
test/0046/frame_left/frame_left_0100.png test/0046/frame_right/frame_right_0100.png
|
| 984 |
+
test/0046/frame_left/frame_left_0101.png test/0046/frame_right/frame_right_0101.png
|
| 985 |
+
test/0046/frame_left/frame_left_0102.png test/0046/frame_right/frame_right_0102.png
|
| 986 |
+
test/0046/frame_left/frame_left_0103.png test/0046/frame_right/frame_right_0103.png
|
| 987 |
+
test/0046/frame_left/frame_left_0104.png test/0046/frame_right/frame_right_0104.png
|
| 988 |
+
test/0046/frame_left/frame_left_0105.png test/0046/frame_right/frame_right_0105.png
|
| 989 |
+
test/0046/frame_left/frame_left_0106.png test/0046/frame_right/frame_right_0106.png
|
| 990 |
+
test/0046/frame_left/frame_left_0107.png test/0046/frame_right/frame_right_0107.png
|
| 991 |
+
test/0046/frame_left/frame_left_0108.png test/0046/frame_right/frame_right_0108.png
|
| 992 |
+
test/0046/frame_left/frame_left_0109.png test/0046/frame_right/frame_right_0109.png
|
| 993 |
+
test/0046/frame_left/frame_left_0110.png test/0046/frame_right/frame_right_0110.png
|
| 994 |
+
test/0046/frame_left/frame_left_0111.png test/0046/frame_right/frame_right_0111.png
|
| 995 |
+
test/0046/frame_left/frame_left_0112.png test/0046/frame_right/frame_right_0112.png
|
| 996 |
+
test/0046/frame_left/frame_left_0113.png test/0046/frame_right/frame_right_0113.png
|
| 997 |
+
test/0046/frame_left/frame_left_0114.png test/0046/frame_right/frame_right_0114.png
|
| 998 |
+
test/0046/frame_left/frame_left_0115.png test/0046/frame_right/frame_right_0115.png
|
| 999 |
+
test/0046/frame_left/frame_left_0116.png test/0046/frame_right/frame_right_0116.png
|
| 1000 |
+
test/0046/frame_left/frame_left_0117.png test/0046/frame_right/frame_right_0117.png
|
Spring/spring_train.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
TartanAir/README.md
ADDED
|
@@ -0,0 +1,78 @@
|
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|
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|
|
|
|
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
|
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|
|
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|
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|
|
|
|
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|
|
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|
|
|
|
|
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|
|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Prepare TartanAir Dataset
|
| 2 |
+
|
| 3 |
+
The TartanAir is for robot navigation task and more. The data is collected in photo-realistic simulation environments in the presence of various light conditions, weather and moving objects. By collecting data in simulation, you are able to obtain multi-modal sensor data and precise ground truth labels, including the stereo RGB image, depth image, segmentation, optical flow, camera poses, and LiDAR point cloud. It set up a large number of environments with various styles and scenes, covering challenging viewpoints and diverse motion patterns, which are difficult to achieve by using physical data collection platforms.
|
| 4 |
+
</br>
|
| 5 |
+
|
| 6 |
+
Dataset can be downloaded at the following website: https://theairlab.org/tartanair-dataset/
|
| 7 |
+
|
| 8 |
+
The directory structure should be:
|
| 9 |
+
```text
|
| 10 |
+
data
|
| 11 |
+
└───env01
|
| 12 |
+
| └───Easy
|
| 13 |
+
| | └───P001
|
| 14 |
+
| | | └───depth_left
|
| 15 |
+
| | | | └───000000_left_depth.npy
|
| 16 |
+
| | | | ...
|
| 17 |
+
| | | └───depth_right
|
| 18 |
+
| | | | └───000000_right_depth.npy 000000_left_seg.npy
|
| 19 |
+
| | | | ...
|
| 20 |
+
| | | └───flow
|
| 21 |
+
| | | | └───000000_000001_flow.npy
|
| 22 |
+
| | | | └───000000_000001_mask.npy
|
| 23 |
+
| | | | ...
|
| 24 |
+
| | | └───image_left
|
| 25 |
+
| | | | └───000000_left.png
|
| 26 |
+
| | | | ...
|
| 27 |
+
| | | └───image_right
|
| 28 |
+
| | | | └───000000_firht.png
|
| 29 |
+
| | | | ...
|
| 30 |
+
| | | └───seg_left
|
| 31 |
+
| | | | └───000000_left_seg.npy
|
| 32 |
+
| | | | ...
|
| 33 |
+
| | | └───seg_right
|
| 34 |
+
| | | | └───000000_right_seg.npy
|
| 35 |
+
| | | | ...
|
| 36 |
+
| | | └───pose_left.txt
|
| 37 |
+
| | | └───pose_right.txt
|
| 38 |
+
| | ...
|
| 39 |
+
| └───Hard
|
| 40 |
+
| | └───P001
|
| 41 |
+
| | | └───depth_left
|
| 42 |
+
| | | | └───000000_left_depth.npy
|
| 43 |
+
| | | | ...
|
| 44 |
+
| | | └───depth_right
|
| 45 |
+
| | | | └───000000_right_depth.npy 000000_left_seg.npy
|
| 46 |
+
| | | | ...
|
| 47 |
+
| | | └───flow
|
| 48 |
+
| | | | └───000000_000001_flow.npy
|
| 49 |
+
| | | | └───000000_000001_mask.npy
|
| 50 |
+
| | | | ...
|
| 51 |
+
| | | └───image_left
|
| 52 |
+
| | | | └───000000_left.png
|
| 53 |
+
| | | | ...
|
| 54 |
+
| | | └───image_right
|
| 55 |
+
| | | | └───000000_firht.png
|
| 56 |
+
| | | | ...
|
| 57 |
+
| | | └───seg_left
|
| 58 |
+
| | | | └───000000_left_seg.npy
|
| 59 |
+
| | | | ...
|
| 60 |
+
| | | └───seg_right
|
| 61 |
+
| | | | └───000000_right_seg.npy
|
| 62 |
+
| | | | ...
|
| 63 |
+
| | | └───pose_left.txt
|
| 64 |
+
| | | └───pose_right.txt
|
| 65 |
+
| | ...
|
| 66 |
+
...
|
| 67 |
+
```
|
| 68 |
+
_Optionally you can write your own txt file and use all the parts of the dataset._
|
| 69 |
+
|
| 70 |
+
```bibtex
|
| 71 |
+
@article{tartanair2020iros,
|
| 72 |
+
title = {TartanAir: A Dataset to Push the Limits of Visual SLAM},
|
| 73 |
+
author = {Wang, Wenshan and Zhu, Delong and Wang, Xiangwei and Hu, Yaoyu and Qiu, Yuheng and Wang, Chen and Hu, Yafei and Kapoor, Ashish and Scherer, Sebastian},
|
| 74 |
+
booktitle = {2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
|
| 75 |
+
year = {2020}
|
| 76 |
+
}
|
| 77 |
+
```
|
| 78 |
+
|
UnrealStereo4K/README.md
ADDED
|
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Prepare UnrealStereo4K Dataset
|
| 2 |
+
|
| 3 |
+
UnrealStereo4K Dataset contains 8200 pairs of images from 8 static scenes, including indoor and outdoor environments.. </br>
|
| 4 |
+
|
| 5 |
+
Dataset can be downloaded at the following website: https://github.com/fabiotosi92/SMD-Nets
|
| 6 |
+
|
| 7 |
+
The directory structure should be:
|
| 8 |
+
```text
|
| 9 |
+
UnrealStereo4K
|
| 10 |
+
├── 00000
|
| 11 |
+
| ├── Disp0
|
| 12 |
+
| | ├── 00000.npy
|
| 13 |
+
| | ├── 00001.npy
|
| 14 |
+
...
|
| 15 |
+
| ├── Disp1
|
| 16 |
+
| | ├── 00000.npy
|
| 17 |
+
| | ├── 00001.npy
|
| 18 |
+
...
|
| 19 |
+
| ├── Image0
|
| 20 |
+
| | ├── 00000.png
|
| 21 |
+
| | ├── 00001.png
|
| 22 |
+
...
|
| 23 |
+
| ├── Image1
|
| 24 |
+
| | ├── 00000.png
|
| 25 |
+
| | ├── 00001.png
|
| 26 |
+
├── 00001
|
| 27 |
+
| |
|
| 28 |
+
...
|
| 29 |
+
|
| 30 |
+
```
|
| 31 |
+
|
| 32 |
+
_Optionally you can write your own txt file and use all the parts of the dataset._
|
| 33 |
+
|
| 34 |
+
```bibtex
|
| 35 |
+
@inproceedings{tosi2021smd,
|
| 36 |
+
title={Smd-nets: Stereo mixture density networks},
|
| 37 |
+
author={Tosi, Fabio and Liao, Yiyi and Schmitt, Carolin and Geiger, Andreas},
|
| 38 |
+
booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
|
| 39 |
+
pages={8942--8952},
|
| 40 |
+
year={2021}
|
| 41 |
+
}
|
| 42 |
+
```
|
UnrealStereo4K/unrealstereo4k_all.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
VirtualKitti2/README.md
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Prepare VirtualKitti2 Dataset
|
| 2 |
+
|
| 3 |
+
VirtualKitti2 Dataset contains 21260 pairs of images with high-accuracy disparity maps, which can be downloaded at the following website: https://europe.naverlabs.com/research/computer-vision/proxy-virtual-worlds-vkitti-2
|
| 4 |
+
|
| 5 |
+
The directory structure should be:
|
| 6 |
+
```text
|
| 7 |
+
virtualkitti2
|
| 8 |
+
├── Scene01
|
| 9 |
+
├── Scene02
|
| 10 |
+
├── Scene06
|
| 11 |
+
├── Scene18
|
| 12 |
+
├── Scene20
|
| 13 |
+
```
|
| 14 |
+
|
| 15 |
+
_Optionally you can write your txt file and use all the parts of the dataset._
|
| 16 |
+
|
| 17 |
+
```bibtex
|
| 18 |
+
@article{cabon2020virtual,
|
| 19 |
+
title={Virtual kitti 2},
|
| 20 |
+
author={Cabon, Yohann and Murray, Naila and Humenberger, Martin},
|
| 21 |
+
journal={arXiv preprint arXiv:2001.10773},
|
| 22 |
+
year={2020}
|
| 23 |
+
}
|
| 24 |
+
```
|
VirtualKitti2/virtualkitti2_trainval21260.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|