OpenStereo
OpenStereo: A Comprehensive Benchmark for Stereo Matching
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최종 버전 다운로드 (.zip)- aanet_sceneflow.yaml
- aanet_sceneflow_uniform.yaml
- casnet_psm_sceneflow.yaml
- casnet_psm_sceneflow_uniform.yaml
- driving_eval_cas.yaml
- eth3d_eval_cas.yaml
- kitti12_eval_cas.yaml
- kitti15_eval_cas.yaml
- middlebury_eval_cas.yaml
- cfnet_sceneflow_part1_uniform.yaml
- cfnet_sceneflow_part2.yaml
- driving_eval_cf.yaml
- eth3d_eval_cf.yaml
- kitti12_eval_cf.yaml
- kitti15_eval_cf.yaml
- middlebury_eval_cf.yaml
- coex_sceneflow_amp.yaml
- coex_sceneflow_uniform.yaml
- driving_eval_coex.yaml
- eth3d_eval_coex.yaml
- kitti12_eval_coex.yaml
- kitti15_eval_coex.yaml
- middlebury_eval_coex.yaml
- driving_eval_fad.yaml
- eth3d_eval_fad.yaml
- fadnet_sceneflow.yaml
- fadnet_sceneflow_uniform.yaml
- kitti12_eval_fad.yaml
- kitti15_eval_fad.yaml
- middlebury_eval_fad.yaml
- driving_eval.yaml
- eth3d_eval.yaml
- ffstereo.yaml
- kitti12_eval.yaml
- kitti15_eval.yaml
- middlebury_eval.yaml
- sceneflow_eval.yaml
- driving_eval.yaml
- eth3d_eval.yaml
- fstereo_argoverse.yaml
- fstereo_carla.yaml
- fstereo_crestereo.yaml
- fstereo_dynamic.yaml
- fstereo_fallingthings.yaml
- fstereo_foundationstereo.yaml
- fstereo_instereo2k.yaml
- fstereo_mixdata.yaml
- fstereo_sceneflow.yaml
- fstereo_sintel.yaml
- fstereo_spring.yaml
- fstereo_tartanair.yaml
- fstereo_unrealstereo4k.yaml
- fstereo_vkitti2.yaml
- kitti12_eval.yaml
- kitti15_eval.yaml
- middlebury_eval.yaml
- sceneflow_eval.yaml
- driving_eval_gwc.yaml
- eth3d_eval_gwc.yaml
- gwcnet_sceneflow.yaml
- gwcnet_sceneflow_uniform.yaml
- kitti12_eval_gwc.yaml
- kitti15_eval_gwc.yaml
- middlebury_eval_gwc.yaml
- driving_eval_igev.yaml
- eth3d_eval_igev.yaml
- eth3d_eval_igev_any.yaml
- igev_kitti_amp.yaml
- igev_sceneflow_amp.yaml
- kitti12_eval.yaml
- kitti12_eval_igev_any.yaml
- kitti15_eval.yaml
- kitti15_eval_igev_any.yaml
- middlebury_eval_igev.yaml
- middlebury_eval_igev_any.yaml
- igev_rt_sceneflow_amp.yaml
- igev_rt_sceneflow_uniform.yaml
- igevpp_sceneflow_amp.yaml
- igevpp_sceneflow_uniform.yaml
- iinet_sceneflow_part1.yaml
- iinet_sceneflow_part2.yaml
- kitti12_eval.yaml
- kitti15_eval.yaml
- lightstereo_l_kitti.yaml
- lightstereo_l_sceneflow.yaml
- lightstereo_l_sceneflow_general.yaml
- lightstereo_lx_kitti.yaml
- lightstereo_lx_sceneflow.yaml
- lightstereo_lx_sceneflow_general.yaml
- lightstereo_m_kitti.yaml
- lightstereo_m_sceneflow.yaml
- lightstereo_m_sceneflow_general.yaml
- lightstereo_s_kitti.yaml
- lightstereo_s_sceneflow.yaml
- lightstereo_s_sceneflow_general.yaml
- middlebury_eval.yaml
- monster_sceneflow.yaml
- monster_sceneflow_uniform.yaml
- driving_eval_m2d.yaml
- driving_eval_m3d.yaml
- eth3d_eval_m2d.yaml
- eth3d_eval_m3d.yaml
- kitti12_eval_m2d.yaml
- kitti12_eval_m3d.yaml
- kitti15_eval_m2d.yaml
- kitti15_eval_m3d.yaml
- middlebury_eval_m2d.yaml
- middlebury_eval_m3d.yaml
- msnet2d_sceneflow.yaml
- msnet2d_sceneflow_uniform.yaml
- msnet3d_sceneflow.yaml
- msnet3d_sceneflow_uniform.yaml
- eth3d_eval.yaml
- kitti12_eval_nmrf.yaml
- kitti15_eval_nmrf.yaml
- middlebury_eval_nmrf.yaml
- nmrf_res_sceneflow.yaml
- nmrf_swint_argoverse.yaml
- nmrf_swint_carla.yaml
- nmrf_swint_crestereo.yaml
- nmrf_swint_dynamic.yaml
- nmrf_swint_fallingthings.yaml
- nmrf_swint_foundationstereo.yaml
- nmrf_swint_instereo2k.yaml
- nmrf_swint_mixdata.yaml
- nmrf_swint_sceneflow.yaml
- nmrf_swint_sceneflow_uniform.yaml
- nmrf_swint_sintel.yaml
- nmrf_swint_spring.yaml
- nmrf_swint_tartanair.yaml
- nmrf_swint_unrealstereo4k.yaml
- nmrf_swint_vkitti2.yaml
- eth3d_eval_psmnet.yaml
- kitti12_eval.yaml
- kitti15_eval.yaml
- middlebury_eval_psmnet.yaml
- psmnet_kitti.yaml
- psmnet_sceneflow.yaml
- psmnet_sceneflow_uniform.yaml
- eth3d_eval.yaml
- eth3d_eval_stereobase_eval.yaml
- kitti12_eval.yaml
- kitti12_eval_stereobase_any.yaml
- kitti15_eval.yaml
- kitti15_eval_stereobase_any.yaml
- middlebury_eval.yaml
- middlebury_eval_stereobase_any.yaml
- stereobase_kitti.yaml
- stereobase_sceneflow.yaml
- sttr_flyingthings3d.yaml
- data_basic.py
- driving_eval.yaml
- eth3d_eval.yaml
- kitti12_eval.yaml
- kitti15_eval.yaml
- middlebury_eval.yaml
- sceneflow_eval.yaml
- README.md
- README.md
- README.md
- README.md
- README.md
- README.md
- README.md
- README.md
- README.md
- README.md
- README.md
- README.md
- README.md
- README.md
- README.md
- README.md
- README.md
- README.md
- inference.h
- transforms.h
- transforms_kernel.h
- utils.h
- left.png
- right.png
- inference.cpp
- transforms.cpp
- transforms_kernel.cu
- CMakeLists.txt
- main.cpp
- __init__.py
- deploy_utils.py
- export.py
- README.md
- README.zh.md
- trt_profile.sh
- 0.get_started.md
- 1.model_zoo.md
- 2.prepare_dataset.md
- 3.detailed_config.md
- 4.how_to_create_your_model.md
- 5.advanced_usages.md
- download_StereoCarla.md
- License_Agreement_for_StereoCarla_Dataset.pdf
- prepare_foundationstereo.md
- StereoAnything.md
- clean_process.sh
- OpenStereo.png
- pipeline.png
- StereoAnything.png
- __init__.py
- readpfm.py
- stereo_trans.py
- __init__.py
- argoverse_dataset.py
- carla_dataset.py
- crestereo_dataset.py
- dataset_template.py
- driving_dataset.py
- dynamic_replica.py
- eth3d_dataset.py
- fallingthings_dataset.py
- foundationstereo.py
- instereo2k_dataset.py
- kitti_dataset.py
- middlebury_dataset.py
- mono.py
- mono_dataset.py
- realfill_dataset.py
- sceneflow_dataset.py
- sintel_dataset.py
- spring.py
- tartanair_dataset.py
- unrealstereo4k_dataset.py
- vkitti2_dataset.py
- __init__.py
- metric_per_image.py
- deform_conv_cuda.cpp
- deform_conv_cuda_kernel.cu
- __init__.py
- build.sh
- deform_conv.py
- setup.py
- __init__.py
- fadnet.py
- psmnet_backbone.py
- __init__.py
- basic_block_2d.py
- basic_block_3d.py
- loss.py
- __init__.py
- hourglass.py
- __init__.py
- cost_volume.py
- __init__.py
- disp_regression.py
- __init__.py
- disp_refinement.py
- gru_blocks.py
- aanet.py
- submodule.py
- trainer.py
- cas_gwc.py
- cas_psm.py
- submodule.py
- trainer.py
- cfnet.py
- submodule.py
- trainer.py
- coex.py
- coex_backbone.py
- coex_cost_processor.py
- coex_disp_processor.py
- submodule.py
- trainer.py
- fadnet.py
- fadnet_backbone.py
- fadnet_cost_processor.py
- fadnet_disp_predictor.py
- submodule.py
- trainer.py
- utils.py
- distill_block.py
- extractor.py
- foundation_stereo.py
- geometry.py
- submodule.py
- update.py
- LICENSE.txt
- trainer.py
- Utils.py
- utils.py
- extractor.py
- foundation_stereo.py
- geometry.py
- submodule.py
- update.py
- transform.py
- blocks.py
- dpt.py
- LICENSE.txt
- vitb14_pretrain.yaml
- vitb14_reg4_pretrain.yaml
- vitg14_pretrain.yaml
- vitg14_reg4_pretrain.yaml
- vitl14_pretrain.yaml
- vitl14_reg4_pretrain.yaml
- vits14_pretrain.yaml
- vits14_reg4_pretrain.yaml
- vitg14.yaml
- vitl14.yaml
- vitl16_short.yaml
- __init__.py
- ssl_default_config.yaml
- __init__.py
- decoders.py
- extended.py
- image_net.py
- image_net_22k.py
- __init__.py
- adapters.py
- augmentations.py
- collate.py
- loaders.py
- masking.py
- samplers.py
- transforms.py
- __init__.py
- __init__.py
- vision_transformer.py
- __init__.py
- decode_head.py
- dpt_head.py
- linear_head.py
- __init__.py
- base.py
- encoder_decoder.py
- __init__.py
- gradientloss.py
- sigloss.py
- __init__.py
- builder.py
- __init__.py
- wrappers.py
- __init__.py
- __init__.py
- optimizer.py
- __init__.py
- vision_transformer.py
- __init__.py
- linear_head.py
- __init__.py
- __init__.py
- colormaps.py
- __init__.py
- __init__.py
- builder.py
- point_generator.py
- __init__.py
- base_sampler.py
- mask_pseudo_sampler.py
- mask_sampling_result.py
- sampling_result.py
- __init__.py
- builder.py
- __init__.py
- dist_utils.py
- misc.py
- __init__.py
- __init__.py
- adapter_modules.py
- drop_path.py
- vit.py
- vit_adapter.py
- __init__.py
- mask2former_head.py
- __init__.py
- cross_entropy_loss.py
- dice_loss.py
- match_costs.py
- __init__.py
- msdeformattn_pixel_decoder.py
- __init__.py
- encoder_decoder_mask2former.py
- __init__.py
- assigner.py
- point_sample.py
- positional_encoding.py
- transformer.py
- __init__.py
- builder.py
- __init__.py
- ms_deform_attn.py
- __init__.py
- __init__.py
- knn.py
- linear.py
- log_regression.py
- metrics.py
- setup.py
- utils.py
- __init__.py
- __init__.py
- decode_heads.py
- encoder_decoder.py
- ops.py
- __init__.py
- backbones.py
- classifiers.py
- depthers.py
- utils.py
- __init__.py
- attention.py
- block.py
- dino_head.py
- drop_path.py
- layer_scale.py
- mlp.py
- patch_embed.py
- swiglu_ffn.py
- __init__.py
- helpers.py
- __init__.py
- dino_clstoken_loss.py
- ibot_patch_loss.py
- koleo_loss.py
- __init__.py
- vision_transformer.py
- knn.py
- linear.py
- log_regression.py
- train.py
- __init__.py
- submit.py
- __init__.py
- ssl_meta_arch.py
- train.py
- __init__.py
- cluster.py
- config.py
- dtype.py
- param_groups.py
- utils.py
- __init__.py
- LICENSE.txt
- LICENSE
- trainer.py
- Utils.py
- gwcnet.py
- gwcnet_backbone.py
- gwcnet_cost_processor.py
- gwcnet_disp_processor.py
- hourglass.py
- trainer.py
- extractor.py
- geometry.py
- igev_stereo.py
- submodule.py
- trainer.py
- update.py
- utils.py
- extractor.py
- geometry.py
- igev_rt_stereo.py
- LICENSE.txt
- submodule.py
- trainer.py
- update.py
- utils.py
- extractor.py
- geometry.py
- igevpp_stereo.py
- LICENSE.txt
- submodule.py
- trainer.py
- update.py
- utils.py
- cost_volume.py
- iinet.py
- layers.py
- loss.py
- metrics.py
- networks.py
- trainer.py
- utils.py
- __init__.py
- aggregation.py
- backbone.py
- lightstereo.py
- trainer.py
- __init__.py
- attention.py
- block.py
- drop_path.py
- layer_scale.py
- mlp.py
- patch_embed.py
- swiglu_ffn.py
- blocks.py
- transform.py
- dinov2.py
- dpt.py
- extractor.py
- geometry.py
- LICENSE
- monster.py
- refinement.py
- submodule.py
- trainer.py
- update.py
- utils.py
- warp.py
- __init__.py
- msnet_blocks.py
- __init__.py
- MSNet2D.py
- MSNet3D.py
- submodule.py
- trainer.py
- __init__.py
- config.py
- default.py
- __init__.py
- downsample_func.py
- ms_deform_attn_func.py
- __init__.py
- ms_deform_attn.py
- ms_deform_attn_cpu.cpp
- ms_deform_attn_cpu.h
- downsample_cuda.cu
- downsample_cuda.h
- ms_deform_attn_cuda.cu
- ms_deform_attn_cuda.h
- ms_deform_im2col_cuda.cuh
- downsample.h
- ms_deform_attn.h
- vision.cpp
- __init__.py
- make.sh
- README.md
- setup.py
- test.py
- __init__.py
- colorize.py
- dist_utils.py
- evaluation.py
- frame_utils.py
- logger.py
- misc.py
- visualization.py
- __init__.py
- adaptor_modules.py
- backbone.py
- build_optimizer.py
- DPN.py
- hybrid_backbone.py
- matcher.py
- MIT License
- NMP.py
- NMRF.py
- submodule.py
- swin.py
- trainer.py
- psmnet.py
- psmnet_backbone.py
- psmnet_cost_processor.py
- psmnet_disp_processor.py
- submodule.py
- trainer.py
- __init__.py
- backbone.py
- gru_blocks.py
- hourglass.py
- igev_blocks.py
- stereobase_gru.py
- trainer.py
- __init__.py
- attention.py
- context_adjustment_layer.py
- densenet_in.py
- feat_extractor_backbone.py
- feat_extractor_backbone_in.py
- feat_extractor_tokenizer.py
- loss.py
- misc.py
- pos_encoder.py
- regression_head.py
- transformer.py
- sttr.py
- trainer.py
- __init__.py
- __init__.py
- trainer_template.py
- __init__.py
- clip_grad.py
- common_utils.py
- disp_color.py
- lamb.py
- warmup.py
- __init__.py
- change_permission.sh
- constant.sh
- eval.sh
- eval_stereoanything.sh
- submit.sh
- train.sh
- train_multinodes.sh
- __init__.py
- check_data.py
- disp_vis.py
- eval.py
- infer.py
- measure.py
- resize.py
- test_kitti.py
- train.py
- .gitignore
- README.md
- requirements.txt
- Stereo_Matching_datasets.md
- Stereo_Matching_Paper_List.md
# 설치 가이드
1. 코드 내려받기
git clone https://github.com/XiandaGuo/OpenStereo
깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.
cd OpenStereo
방금 내려받은 프로젝트 폴더 안으로 이동합니다.
2. CMake
보통 추천사전 준비물
⚠️ 이 프로젝트는 규모가 큰 저장소라, 이 방법이 실제 핵심 제품이 아니라 내부 하위 패키지를 가리키는 것일 수 있습니다. README 전체를 함께 확인해보세요.
cd deploy/cpp
이 프로젝트의 관련 파일이 하위 폴더 안에 있어서, 먼저 그 폴더로 이동합니다.
mkdir build && cd build
빌드 결과물을 담을 폴더를 만들고 그 안으로 이동합니다.
cmake ..
소스코드를 분석해 빌드 설정 파일을 생성합니다 (build 폴더 안에서 실행해야 함).
make
생성된 빌드 설정을 바탕으로 실제 컴파일을 진행해 실행 파일을 만듭니다.
build 폴더 안에 실행 파일이 생성됐는지 확인하고, 직접 실행해보세요 (예: ./build/앱이름).
// repository documentation
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