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- configs/calibration_benchmark.yaml +23 -0
- configs/dataset/ase_wai/default.yaml +3 -0
- configs/dataset/ase_wai/train/default.yaml +26 -0
- configs/dataset/ase_wai/val/default.yaml +26 -0
- configs/dataset/benchmark_512_eth3d_snpp_tav2.yaml +20 -0
- configs/dataset/benchmark_518_eth3d_snpp_tav2.yaml +20 -0
- configs/dataset/benchmark_sv_calib_518_many_ar_eth3d_snpp_tav2.yaml +20 -0
- configs/dataset/blendedmvs_wai/default.yaml +3 -0
- configs/dataset/blendedmvs_wai/train/default.yaml +26 -0
- configs/dataset/blendedmvs_wai/val/default.yaml +26 -0
- configs/dataset/bmvs_518_many_ar_48ipg_8g.yaml +23 -0
- configs/dataset/default.yaml +39 -0
- configs/dataset/dl3dv_wai/default.yaml +3 -0
- configs/dataset/dl3dv_wai/train/default.yaml +28 -0
- configs/dataset/dl3dv_wai/val/default.yaml +28 -0
- configs/dataset/dynamicreplica_wai/default.yaml +3 -0
- configs/dataset/dynamicreplica_wai/train/default.yaml +26 -0
- configs/dataset/dynamicreplica_wai/val/default.yaml +26 -0
- configs/dataset/eth3d_wai/default.yaml +2 -0
- configs/dataset/eth3d_wai/test/default.yaml +22 -0
- configs/dataset/megadepth_wai/default.yaml +3 -0
- configs/dataset/megadepth_wai/train/default.yaml +26 -0
- configs/dataset/megadepth_wai/val/default.yaml +26 -0
- configs/dataset/megatrain_13d_512_many_ar_24ipg_16g.yaml +59 -0
- configs/dataset/megatrain_13d_518_many_ar_24ipg_16g.yaml +59 -0
- configs/dataset/megatrain_13d_518_many_ar_24ipg_8g.yaml +59 -0
- configs/dataset/megatrain_13d_518_many_ar_48ipg_64g.yaml +59 -0
- configs/dataset/megatrain_13d_518_many_ar_48ipg_8g_mono.yaml +59 -0
- configs/dataset/megatrain_6d_518_many_ar_48ipg_64g.yaml +38 -0
- configs/dataset/megatrain_6d_518_many_ar_48ipg_8g.yaml +38 -0
- configs/dataset/mpsd_wai/default.yaml +3 -0
- configs/dataset/mpsd_wai/train/default.yaml +26 -0
- configs/dataset/mpsd_wai/val/default.yaml +26 -0
- configs/dataset/mvs_synth_wai/default.yaml +3 -0
- configs/dataset/mvs_synth_wai/train/default.yaml +26 -0
- configs/dataset/mvs_synth_wai/val/default.yaml +26 -0
- configs/dataset/paralleldomain4d_wai/default.yaml +3 -0
- configs/dataset/paralleldomain4d_wai/train/default.yaml +26 -0
- configs/dataset/paralleldomain4d_wai/val/default.yaml +26 -0
- configs/dataset/resolution_options/default.yaml +77 -0
- configs/dataset/sailvos3d_wai/default.yaml +3 -0
- configs/dataset/sailvos3d_wai/train/default.yaml +26 -0
- configs/dataset/sailvos3d_wai/val/default.yaml +26 -0
- configs/dataset/scannetpp_wai/default.yaml +4 -0
- configs/dataset/scannetpp_wai/test/default.yaml +24 -0
- configs/dataset/scannetpp_wai/train/default.yaml +26 -0
- configs/dataset/scannetpp_wai/val/default.yaml +26 -0
- configs/dataset/spring_wai/default.yaml +3 -0
- configs/dataset/spring_wai/train/default.yaml +26 -0
- configs/dataset/spring_wai/val/default.yaml +26 -0
configs/calibration_benchmark.yaml
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defaults:
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- machine: aws
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- model: default
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- dataset: default
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- _self_
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output_dir: ${hydra:run.dir}
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root_data_dir: ${machine.root_data_dir}
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mapanything_dataset_metadata_dir: ${machine.mapanything_dataset_metadata_dir}
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root_pretrained_checkpoints_dir: ${machine.root_pretrained_checkpoints_dir}
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root_experiments_dir: ${machine.root_experiments_dir}
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root_uniception_pretrained_checkpoints_dir: ${machine.root_uniception_pretrained_checkpoints_dir}
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### Benchmarking args
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seed: 0
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# Disable CUDNN Benchmark (Disable for variable resolution & number of view training)
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disable_cudnn_benchmark: true
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# Batch size for inference (Metrics are computed per multi-view set and averaged, not per batch of multi-view sets)
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batch_size: 20
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# Use mixed precision for inference
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amp: 1
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# Floating point type to use for mixed precision
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amp_dtype: "bf16"
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configs/dataset/ase_wai/default.yaml
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defaults:
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- train: default
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- val: default
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configs/dataset/ase_wai/train/default.yaml
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dataset_str:
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"ASEWAI(
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split='${dataset.ase_wai.train.split}',
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resolution=${dataset.ase_wai.train.dataset_resolution},
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principal_point_centered=${dataset.ase_wai.train.principal_point_centered},
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aug_crop=${dataset.ase_wai.train.aug_crop},
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transform='${dataset.ase_wai.train.transform}',
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data_norm_type='${dataset.ase_wai.train.data_norm_type}',
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ROOT='${dataset.ase_wai.train.ROOT}',
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dataset_metadata_dir='${dataset.ase_wai.train.dataset_metadata_dir}',
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overfit_num_sets=${dataset.ase_wai.train.overfit_num_sets},
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variable_num_views=${dataset.ase_wai.train.variable_num_views},
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num_views=${dataset.ase_wai.train.num_views},
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covisibility_thres=${dataset.ase_wai.train.covisibility_thres})"
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split: 'train'
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dataset_resolution: ${dataset.resolution_train}
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principal_point_centered: ${dataset.principal_point_centered}
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aug_crop: 16
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transform: 'colorjitter+grayscale+gaublur'
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data_norm_type: ${model.data_norm_type}
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ROOT: ${root_data_dir}/ase
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dataset_metadata_dir: ${mapanything_dataset_metadata_dir}
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overfit_num_sets: null
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variable_num_views: ${dataset.train.variable_num_views}
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num_views: ${dataset.num_views}
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covisibility_thres: 0.25
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configs/dataset/ase_wai/val/default.yaml
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dataset_str:
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"ASEWAI(
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split='${dataset.ase_wai.val.split}',
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resolution=${dataset.ase_wai.val.dataset_resolution},
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principal_point_centered=${dataset.ase_wai.val.principal_point_centered},
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seed=${dataset.ase_wai.val.seed},
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transform='${dataset.ase_wai.val.transform}',
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data_norm_type='${dataset.ase_wai.val.data_norm_type}',
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ROOT='${dataset.ase_wai.val.ROOT}',
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dataset_metadata_dir='${dataset.ase_wai.val.dataset_metadata_dir}',
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overfit_num_sets=${dataset.ase_wai.val.overfit_num_sets},
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variable_num_views=${dataset.ase_wai.val.variable_num_views},
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num_views=${dataset.ase_wai.val.num_views},
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covisibility_thres=${dataset.ase_wai.val.covisibility_thres})"
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split: 'val'
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dataset_resolution: ${dataset.resolution_val_ase}
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principal_point_centered: ${dataset.principal_point_centered}
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seed: 777
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transform: 'imgnorm'
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data_norm_type: ${model.data_norm_type}
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ROOT: ${root_data_dir}/ase
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dataset_metadata_dir: ${mapanything_dataset_metadata_dir}
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overfit_num_sets: null
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variable_num_views: ${dataset.val.variable_num_views}
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num_views: ${dataset.num_views}
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covisibility_thres: 0.25
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configs/dataset/benchmark_512_eth3d_snpp_tav2.yaml
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defaults:
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- default
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# Number of views parameter for the multi-view datasets
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num_views: 2
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# Test Resolution
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resolution_test_eth3d: ${dataset.resolution_options.512_1_52_ar}
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resolution_test_scannetpp: ${dataset.resolution_options.512_1_52_ar}
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resolution_test_tav2_wb: ${dataset.resolution_options.512_1_00_ar}
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# Test Set
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# Sample 10 multi-view sets from each scene
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# ETH3D: 13 scenes
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# ScanNet++V2: 30 scenes
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# TartanAirV2-WB: 5 scenes
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test_dataset:
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"+ 130 @ ${dataset.eth3d_wai.test.dataset_str}
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+ 300 @ ${dataset.scannetpp_wai.test.dataset_str}
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+ 50 @ ${dataset.tav2_wb_wai.test.dataset_str}"
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configs/dataset/benchmark_518_eth3d_snpp_tav2.yaml
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defaults:
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- default
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# Number of views parameter for the multi-view datasets
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num_views: 2
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# Test Resolution
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resolution_test_eth3d: ${dataset.resolution_options.518_1_52_ar}
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resolution_test_scannetpp: ${dataset.resolution_options.518_1_52_ar}
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resolution_test_tav2_wb: ${dataset.resolution_options.518_1_00_ar}
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# Test Set
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# Sample 10 multi-view sets from each scene
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# ETH3D: 13 scenes
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# ScanNet++V2: 30 scenes
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# TartanAirV2-WB: 5 scenes
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test_dataset:
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"+ 130 @ ${dataset.eth3d_wai.test.dataset_str}
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+ 300 @ ${dataset.scannetpp_wai.test.dataset_str}
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+ 50 @ ${dataset.tav2_wb_wai.test.dataset_str}"
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configs/dataset/benchmark_sv_calib_518_many_ar_eth3d_snpp_tav2.yaml
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defaults:
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- default
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# Number of views parameter for the multi-view datasets
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num_views: 1
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# Test Resolution
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resolution_test_eth3d: ${dataset.resolution_options.518_many_ar}
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resolution_test_scannetpp: ${dataset.resolution_options.518_many_ar}
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resolution_test_tav2_wb: ${dataset.resolution_options.518_many_ar}
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# Test Set
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# Sample 20 frames from each scene
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# ETH3D: 13 scenes
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# ScanNet++V2: 30 scenes
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# TartanAirV2-WB: 5 scenes
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test_dataset:
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"+ 260 @ ${dataset.eth3d_wai.test.dataset_str}
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+ 600 @ ${dataset.scannetpp_wai.test.dataset_str}
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+ 100 @ ${dataset.tav2_wb_wai.test.dataset_str}"
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configs/dataset/blendedmvs_wai/default.yaml
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defaults:
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- train: default
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- val: default
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configs/dataset/blendedmvs_wai/train/default.yaml
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dataset_str:
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"BlendedMVSWAI(
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split='${dataset.blendedmvs_wai.train.split}',
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resolution=${dataset.blendedmvs_wai.train.dataset_resolution},
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principal_point_centered=${dataset.blendedmvs_wai.train.principal_point_centered},
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aug_crop=${dataset.blendedmvs_wai.train.aug_crop},
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transform='${dataset.blendedmvs_wai.train.transform}',
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data_norm_type='${dataset.blendedmvs_wai.train.data_norm_type}',
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ROOT='${dataset.blendedmvs_wai.train.ROOT}',
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dataset_metadata_dir='${dataset.blendedmvs_wai.train.dataset_metadata_dir}',
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overfit_num_sets=${dataset.blendedmvs_wai.train.overfit_num_sets},
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variable_num_views=${dataset.blendedmvs_wai.train.variable_num_views},
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num_views=${dataset.blendedmvs_wai.train.num_views},
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covisibility_thres=${dataset.blendedmvs_wai.train.covisibility_thres})"
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split: 'train'
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dataset_resolution: ${dataset.resolution_train}
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principal_point_centered: ${dataset.principal_point_centered}
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aug_crop: 16
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transform: 'colorjitter+grayscale+gaublur'
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data_norm_type: ${model.data_norm_type}
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ROOT: ${root_data_dir}/blendedmvs
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dataset_metadata_dir: ${mapanything_dataset_metadata_dir}
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overfit_num_sets: null
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variable_num_views: ${dataset.train.variable_num_views}
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num_views: ${dataset.num_views}
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covisibility_thres: 0.25
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configs/dataset/blendedmvs_wai/val/default.yaml
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dataset_str:
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"BlendedMVSWAI(
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split='${dataset.blendedmvs_wai.val.split}',
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resolution=${dataset.blendedmvs_wai.val.dataset_resolution},
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principal_point_centered=${dataset.blendedmvs_wai.val.principal_point_centered},
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seed=${dataset.blendedmvs_wai.val.seed},
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transform='${dataset.blendedmvs_wai.val.transform}',
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data_norm_type='${dataset.blendedmvs_wai.val.data_norm_type}',
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ROOT='${dataset.blendedmvs_wai.val.ROOT}',
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dataset_metadata_dir='${dataset.blendedmvs_wai.val.dataset_metadata_dir}',
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overfit_num_sets=${dataset.blendedmvs_wai.val.overfit_num_sets},
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variable_num_views=${dataset.blendedmvs_wai.val.variable_num_views},
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num_views=${dataset.blendedmvs_wai.val.num_views},
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+
covisibility_thres=${dataset.blendedmvs_wai.val.covisibility_thres})"
|
| 15 |
+
split: 'val'
|
| 16 |
+
dataset_resolution: ${dataset.resolution_val_blendedmvs}
|
| 17 |
+
principal_point_centered: ${dataset.principal_point_centered}
|
| 18 |
+
seed: 777
|
| 19 |
+
transform: 'imgnorm'
|
| 20 |
+
data_norm_type: ${model.data_norm_type}
|
| 21 |
+
ROOT: ${root_data_dir}/blendedmvs
|
| 22 |
+
dataset_metadata_dir: ${mapanything_dataset_metadata_dir}
|
| 23 |
+
overfit_num_sets: null
|
| 24 |
+
variable_num_views: ${dataset.val.variable_num_views}
|
| 25 |
+
num_views: ${dataset.num_views}
|
| 26 |
+
covisibility_thres: 0.25
|
configs/dataset/bmvs_518_many_ar_48ipg_8g.yaml
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
defaults:
|
| 2 |
+
- default
|
| 3 |
+
|
| 4 |
+
# Number of views parameter for the multi-view datasets
|
| 5 |
+
num_views: 4
|
| 6 |
+
|
| 7 |
+
train:
|
| 8 |
+
# If True, the number of views can vary from batch to batch. The maximum number of views is num_views and minimum is 2. (On by default for N-view training)
|
| 9 |
+
variable_num_views: true
|
| 10 |
+
|
| 11 |
+
# Train Resolution
|
| 12 |
+
resolution_train: ${dataset.resolution_options.518_many_ar}
|
| 13 |
+
|
| 14 |
+
# Validation Resolution
|
| 15 |
+
resolution_val_blendedmvs: ${dataset.resolution_options.518_1_33_ar}
|
| 16 |
+
|
| 17 |
+
# Training Set
|
| 18 |
+
train_dataset:
|
| 19 |
+
"+ 140_000 @ ${dataset.blendedmvs_wai.train.dataset_str}"
|
| 20 |
+
|
| 21 |
+
# Validation Set
|
| 22 |
+
test_dataset:
|
| 23 |
+
"+ 4_000 @ ${dataset.blendedmvs_wai.val.dataset_str}"
|
configs/dataset/default.yaml
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
defaults:
|
| 2 |
+
- resolution_options: default
|
| 3 |
+
- ase_wai: default
|
| 4 |
+
- blendedmvs_wai: default
|
| 5 |
+
- dl3dv_wai: default
|
| 6 |
+
- dynamicreplica_wai: default
|
| 7 |
+
- eth3d_wai: default
|
| 8 |
+
- megadepth_wai: default
|
| 9 |
+
- mpsd_wai: default
|
| 10 |
+
- mvs_synth_wai: default
|
| 11 |
+
- paralleldomain4d_wai: default
|
| 12 |
+
- sailvos3d_wai: default
|
| 13 |
+
- scannetpp_wai: default
|
| 14 |
+
- spring_wai: default
|
| 15 |
+
- tav2_wb_wai: default
|
| 16 |
+
- unrealstereo4k_wai: default
|
| 17 |
+
|
| 18 |
+
# Training Set, For example: BlendedMVS(split='train', resolution=(512, 384), transform=...)
|
| 19 |
+
train_dataset: ???
|
| 20 |
+
# Validation Set
|
| 21 |
+
test_dataset: "[null]"
|
| 22 |
+
# Number of workers for dataloader
|
| 23 |
+
num_workers: 12
|
| 24 |
+
# Default resolution for training
|
| 25 |
+
resolution_train: ???
|
| 26 |
+
# Default resolution for validation
|
| 27 |
+
resolution_val: ???
|
| 28 |
+
# Number of views parameter for multi-view datasets
|
| 29 |
+
num_views: 2
|
| 30 |
+
# Use a centered principal point for all images
|
| 31 |
+
principal_point_centered: false
|
| 32 |
+
# Default config for multi-view datasets
|
| 33 |
+
train:
|
| 34 |
+
# If True, the number of views can vary from batch to batch. The maximum number of views is num_views and minimum is 2. (On by default for N-view training)
|
| 35 |
+
variable_num_views: true
|
| 36 |
+
val:
|
| 37 |
+
variable_num_views: false
|
| 38 |
+
test:
|
| 39 |
+
variable_num_views: false
|
configs/dataset/dl3dv_wai/default.yaml
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
defaults:
|
| 2 |
+
- train: default
|
| 3 |
+
- val: default
|
configs/dataset/dl3dv_wai/train/default.yaml
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
dataset_str:
|
| 2 |
+
"DL3DVWAI(
|
| 3 |
+
split='${dataset.dl3dv_wai.train.split}',
|
| 4 |
+
resolution=${dataset.dl3dv_wai.train.dataset_resolution},
|
| 5 |
+
principal_point_centered=${dataset.dl3dv_wai.train.principal_point_centered},
|
| 6 |
+
aug_crop=${dataset.dl3dv_wai.train.aug_crop},
|
| 7 |
+
transform='${dataset.dl3dv_wai.train.transform}',
|
| 8 |
+
data_norm_type='${dataset.dl3dv_wai.train.data_norm_type}',
|
| 9 |
+
ROOT='${dataset.dl3dv_wai.train.ROOT}',
|
| 10 |
+
dataset_metadata_dir='${dataset.dl3dv_wai.train.dataset_metadata_dir}',
|
| 11 |
+
overfit_num_sets=${dataset.dl3dv_wai.train.overfit_num_sets},
|
| 12 |
+
variable_num_views=${dataset.dl3dv_wai.train.variable_num_views},
|
| 13 |
+
num_views=${dataset.dl3dv_wai.train.num_views},
|
| 14 |
+
covisibility_thres=${dataset.dl3dv_wai.train.covisibility_thres},
|
| 15 |
+
mvs_confidence_filter_thres=${dataset.dl3dv_wai.train.mvs_confidence_filter_thres})"
|
| 16 |
+
split: 'train'
|
| 17 |
+
dataset_resolution: ${dataset.resolution_train}
|
| 18 |
+
principal_point_centered: ${dataset.principal_point_centered}
|
| 19 |
+
aug_crop: 16
|
| 20 |
+
transform: 'colorjitter+grayscale+gaublur'
|
| 21 |
+
data_norm_type: ${model.data_norm_type}
|
| 22 |
+
ROOT: ${root_data_dir}/dl3dv
|
| 23 |
+
dataset_metadata_dir: ${mapanything_dataset_metadata_dir}
|
| 24 |
+
overfit_num_sets: null
|
| 25 |
+
variable_num_views: ${dataset.train.variable_num_views}
|
| 26 |
+
num_views: ${dataset.num_views}
|
| 27 |
+
covisibility_thres: 0.25
|
| 28 |
+
mvs_confidence_filter_thres: 0.25
|
configs/dataset/dl3dv_wai/val/default.yaml
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
dataset_str:
|
| 2 |
+
"DL3DVWAI(
|
| 3 |
+
split='${dataset.dl3dv_wai.val.split}',
|
| 4 |
+
resolution=${dataset.dl3dv_wai.val.dataset_resolution},
|
| 5 |
+
principal_point_centered=${dataset.dl3dv_wai.val.principal_point_centered},
|
| 6 |
+
seed=${dataset.dl3dv_wai.val.seed},
|
| 7 |
+
transform='${dataset.dl3dv_wai.val.transform}',
|
| 8 |
+
data_norm_type='${dataset.dl3dv_wai.val.data_norm_type}',
|
| 9 |
+
ROOT='${dataset.dl3dv_wai.val.ROOT}',
|
| 10 |
+
dataset_metadata_dir='${dataset.dl3dv_wai.val.dataset_metadata_dir}',
|
| 11 |
+
overfit_num_sets=${dataset.dl3dv_wai.val.overfit_num_sets},
|
| 12 |
+
variable_num_views=${dataset.dl3dv_wai.val.variable_num_views},
|
| 13 |
+
num_views=${dataset.dl3dv_wai.val.num_views},
|
| 14 |
+
covisibility_thres=${dataset.dl3dv_wai.val.covisibility_thres},
|
| 15 |
+
mvs_confidence_filter_thres=${dataset.dl3dv_wai.val.mvs_confidence_filter_thres})"
|
| 16 |
+
split: 'val'
|
| 17 |
+
dataset_resolution: ${dataset.resolution_val_dl3dv}
|
| 18 |
+
principal_point_centered: ${dataset.principal_point_centered}
|
| 19 |
+
seed: 777
|
| 20 |
+
transform: 'imgnorm'
|
| 21 |
+
data_norm_type: ${model.data_norm_type}
|
| 22 |
+
ROOT: ${root_data_dir}/dl3dv
|
| 23 |
+
dataset_metadata_dir: ${mapanything_dataset_metadata_dir}
|
| 24 |
+
overfit_num_sets: null
|
| 25 |
+
variable_num_views: ${dataset.val.variable_num_views}
|
| 26 |
+
num_views: ${dataset.num_views}
|
| 27 |
+
covisibility_thres: 0.25
|
| 28 |
+
mvs_confidence_filter_thres: 0.25
|
configs/dataset/dynamicreplica_wai/default.yaml
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
defaults:
|
| 2 |
+
- train: default
|
| 3 |
+
- val: default
|
configs/dataset/dynamicreplica_wai/train/default.yaml
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
dataset_str:
|
| 2 |
+
"DynamicReplicaWAI(
|
| 3 |
+
split='${dataset.dynamicreplica_wai.train.split}',
|
| 4 |
+
resolution=${dataset.dynamicreplica_wai.train.dataset_resolution},
|
| 5 |
+
principal_point_centered=${dataset.dynamicreplica_wai.train.principal_point_centered},
|
| 6 |
+
aug_crop=${dataset.dynamicreplica_wai.train.aug_crop},
|
| 7 |
+
transform='${dataset.dynamicreplica_wai.train.transform}',
|
| 8 |
+
data_norm_type='${dataset.dynamicreplica_wai.train.data_norm_type}',
|
| 9 |
+
ROOT='${dataset.dynamicreplica_wai.train.ROOT}',
|
| 10 |
+
dataset_metadata_dir='${dataset.dynamicreplica_wai.train.dataset_metadata_dir}',
|
| 11 |
+
overfit_num_sets=${dataset.dynamicreplica_wai.train.overfit_num_sets},
|
| 12 |
+
variable_num_views=${dataset.dynamicreplica_wai.train.variable_num_views},
|
| 13 |
+
num_views=${dataset.dynamicreplica_wai.train.num_views},
|
| 14 |
+
covisibility_thres=${dataset.dynamicreplica_wai.train.covisibility_thres})"
|
| 15 |
+
split: 'train'
|
| 16 |
+
dataset_resolution: ${dataset.resolution_train}
|
| 17 |
+
principal_point_centered: ${dataset.principal_point_centered}
|
| 18 |
+
aug_crop: 16
|
| 19 |
+
transform: 'colorjitter+grayscale+gaublur'
|
| 20 |
+
data_norm_type: ${model.data_norm_type}
|
| 21 |
+
ROOT: ${root_data_dir}/dynamicreplica
|
| 22 |
+
dataset_metadata_dir: ${mapanything_dataset_metadata_dir}
|
| 23 |
+
overfit_num_sets: null
|
| 24 |
+
variable_num_views: ${dataset.train.variable_num_views}
|
| 25 |
+
num_views: ${dataset.num_views}
|
| 26 |
+
covisibility_thres: 0.25
|
configs/dataset/dynamicreplica_wai/val/default.yaml
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
dataset_str:
|
| 2 |
+
"DynamicReplicaWAI(
|
| 3 |
+
split='${dataset.dynamicreplica_wai.val.split}',
|
| 4 |
+
resolution=${dataset.dynamicreplica_wai.val.dataset_resolution},
|
| 5 |
+
principal_point_centered=${dataset.dynamicreplica_wai.val.principal_point_centered},
|
| 6 |
+
seed=${dataset.dynamicreplica_wai.val.seed},
|
| 7 |
+
transform='${dataset.dynamicreplica_wai.val.transform}',
|
| 8 |
+
data_norm_type='${dataset.dynamicreplica_wai.val.data_norm_type}',
|
| 9 |
+
ROOT='${dataset.dynamicreplica_wai.val.ROOT}',
|
| 10 |
+
dataset_metadata_dir='${dataset.dynamicreplica_wai.val.dataset_metadata_dir}',
|
| 11 |
+
overfit_num_sets=${dataset.dynamicreplica_wai.val.overfit_num_sets},
|
| 12 |
+
variable_num_views=${dataset.dynamicreplica_wai.val.variable_num_views},
|
| 13 |
+
num_views=${dataset.dynamicreplica_wai.val.num_views},
|
| 14 |
+
covisibility_thres=${dataset.dynamicreplica_wai.val.covisibility_thres})"
|
| 15 |
+
split: 'val'
|
| 16 |
+
dataset_resolution: ${dataset.resolution_val_dynamicreplica}
|
| 17 |
+
principal_point_centered: ${dataset.principal_point_centered}
|
| 18 |
+
seed: 777
|
| 19 |
+
transform: 'imgnorm'
|
| 20 |
+
data_norm_type: ${model.data_norm_type}
|
| 21 |
+
ROOT: ${root_data_dir}/dynamicreplica
|
| 22 |
+
dataset_metadata_dir: ${mapanything_dataset_metadata_dir}
|
| 23 |
+
overfit_num_sets: null
|
| 24 |
+
variable_num_views: ${dataset.val.variable_num_views}
|
| 25 |
+
num_views: ${dataset.num_views}
|
| 26 |
+
covisibility_thres: 0.25
|
configs/dataset/eth3d_wai/default.yaml
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
defaults:
|
| 2 |
+
- test: default
|
configs/dataset/eth3d_wai/test/default.yaml
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
dataset_str:
|
| 2 |
+
"ETH3DWAI(
|
| 3 |
+
resolution=${dataset.eth3d_wai.test.dataset_resolution},
|
| 4 |
+
principal_point_centered=${dataset.eth3d_wai.test.principal_point_centered},
|
| 5 |
+
seed=${dataset.eth3d_wai.test.seed},
|
| 6 |
+
transform='${dataset.eth3d_wai.test.transform}',
|
| 7 |
+
data_norm_type='${dataset.eth3d_wai.test.data_norm_type}',
|
| 8 |
+
ROOT='${dataset.eth3d_wai.test.ROOT}',
|
| 9 |
+
dataset_metadata_dir='${dataset.eth3d_wai.test.dataset_metadata_dir}',
|
| 10 |
+
variable_num_views=${dataset.eth3d_wai.test.variable_num_views},
|
| 11 |
+
num_views=${dataset.eth3d_wai.test.num_views},
|
| 12 |
+
covisibility_thres=${dataset.eth3d_wai.test.covisibility_thres})"
|
| 13 |
+
dataset_resolution: ${dataset.resolution_test_eth3d}
|
| 14 |
+
principal_point_centered: ${dataset.principal_point_centered}
|
| 15 |
+
seed: 777
|
| 16 |
+
transform: 'imgnorm'
|
| 17 |
+
data_norm_type: ${model.data_norm_type}
|
| 18 |
+
ROOT: ${root_data_dir}/eth3d
|
| 19 |
+
dataset_metadata_dir: ${mapanything_dataset_metadata_dir}
|
| 20 |
+
variable_num_views: ${dataset.test.variable_num_views}
|
| 21 |
+
num_views: ${dataset.num_views}
|
| 22 |
+
covisibility_thres: 0.025
|
configs/dataset/megadepth_wai/default.yaml
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
defaults:
|
| 2 |
+
- train: default
|
| 3 |
+
- val: default
|
configs/dataset/megadepth_wai/train/default.yaml
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
dataset_str:
|
| 2 |
+
"MegaDepthWAI(
|
| 3 |
+
split='${dataset.megadepth_wai.train.split}',
|
| 4 |
+
resolution=${dataset.megadepth_wai.train.dataset_resolution},
|
| 5 |
+
principal_point_centered=${dataset.megadepth_wai.train.principal_point_centered},
|
| 6 |
+
aug_crop=${dataset.megadepth_wai.train.aug_crop},
|
| 7 |
+
transform='${dataset.megadepth_wai.train.transform}',
|
| 8 |
+
data_norm_type='${dataset.megadepth_wai.train.data_norm_type}',
|
| 9 |
+
ROOT='${dataset.megadepth_wai.train.ROOT}',
|
| 10 |
+
dataset_metadata_dir='${dataset.megadepth_wai.train.dataset_metadata_dir}',
|
| 11 |
+
overfit_num_sets=${dataset.megadepth_wai.train.overfit_num_sets},
|
| 12 |
+
variable_num_views=${dataset.megadepth_wai.train.variable_num_views},
|
| 13 |
+
num_views=${dataset.megadepth_wai.train.num_views},
|
| 14 |
+
covisibility_thres=${dataset.megadepth_wai.train.covisibility_thres})"
|
| 15 |
+
split: 'train'
|
| 16 |
+
dataset_resolution: ${dataset.resolution_train}
|
| 17 |
+
principal_point_centered: ${dataset.principal_point_centered}
|
| 18 |
+
aug_crop: 16
|
| 19 |
+
transform: 'colorjitter+grayscale+gaublur'
|
| 20 |
+
data_norm_type: ${model.data_norm_type}
|
| 21 |
+
ROOT: ${root_data_dir}/megadepth
|
| 22 |
+
dataset_metadata_dir: ${mapanything_dataset_metadata_dir}
|
| 23 |
+
overfit_num_sets: null
|
| 24 |
+
variable_num_views: ${dataset.train.variable_num_views}
|
| 25 |
+
num_views: ${dataset.num_views}
|
| 26 |
+
covisibility_thres: 0.25
|
configs/dataset/megadepth_wai/val/default.yaml
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
dataset_str:
|
| 2 |
+
"MegaDepthWAI(
|
| 3 |
+
split='${dataset.megadepth_wai.val.split}',
|
| 4 |
+
resolution=${dataset.megadepth_wai.val.dataset_resolution},
|
| 5 |
+
principal_point_centered=${dataset.megadepth_wai.val.principal_point_centered},
|
| 6 |
+
seed=${dataset.megadepth_wai.val.seed},
|
| 7 |
+
transform='${dataset.megadepth_wai.val.transform}',
|
| 8 |
+
data_norm_type='${dataset.megadepth_wai.val.data_norm_type}',
|
| 9 |
+
ROOT='${dataset.megadepth_wai.val.ROOT}',
|
| 10 |
+
dataset_metadata_dir='${dataset.megadepth_wai.val.dataset_metadata_dir}',
|
| 11 |
+
overfit_num_sets=${dataset.megadepth_wai.val.overfit_num_sets},
|
| 12 |
+
variable_num_views=${dataset.megadepth_wai.val.variable_num_views},
|
| 13 |
+
num_views=${dataset.megadepth_wai.val.num_views},
|
| 14 |
+
covisibility_thres=${dataset.megadepth_wai.val.covisibility_thres})"
|
| 15 |
+
split: 'val'
|
| 16 |
+
dataset_resolution: ${dataset.resolution_val_megadepth}
|
| 17 |
+
principal_point_centered: ${dataset.principal_point_centered}
|
| 18 |
+
seed: 777
|
| 19 |
+
transform: 'imgnorm'
|
| 20 |
+
data_norm_type: ${model.data_norm_type}
|
| 21 |
+
ROOT: ${root_data_dir}/megadepth
|
| 22 |
+
dataset_metadata_dir: ${mapanything_dataset_metadata_dir}
|
| 23 |
+
overfit_num_sets: null
|
| 24 |
+
variable_num_views: ${dataset.val.variable_num_views}
|
| 25 |
+
num_views: ${dataset.num_views}
|
| 26 |
+
covisibility_thres: 0.25
|
configs/dataset/megatrain_13d_512_many_ar_24ipg_16g.yaml
ADDED
|
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
defaults:
|
| 2 |
+
- default
|
| 3 |
+
|
| 4 |
+
# Number of views parameter for the multi-view datasets
|
| 5 |
+
num_views: 4
|
| 6 |
+
|
| 7 |
+
train:
|
| 8 |
+
# If True, the number of views can vary from batch to batch. The maximum number of views is num_views and minimum is 2. (On by default for N-view training)
|
| 9 |
+
variable_num_views: true
|
| 10 |
+
|
| 11 |
+
# Train Resolution
|
| 12 |
+
resolution_train: ${dataset.resolution_options.512_many_ar}
|
| 13 |
+
|
| 14 |
+
# Validation Resolution
|
| 15 |
+
resolution_val_ase: ${dataset.resolution_options.512_1_00_ar}
|
| 16 |
+
resolution_val_blendedmvs: ${dataset.resolution_options.512_1_33_ar}
|
| 17 |
+
resolution_val_dl3dv: ${dataset.resolution_options.512_1_77_ar}
|
| 18 |
+
resolution_val_dynamicreplica: ${dataset.resolution_options.512_1_77_ar}
|
| 19 |
+
resolution_val_megadepth: ${dataset.resolution_options.512_1_52_ar}
|
| 20 |
+
resolution_val_mpsd: ${dataset.resolution_options.512_1_77_ar}
|
| 21 |
+
resolution_val_mvs_synth: ${dataset.resolution_options.512_1_77_ar}
|
| 22 |
+
resolution_val_paralleldomain4d: ${dataset.resolution_options.512_1_33_ar}
|
| 23 |
+
resolution_val_sailvos3d: ${dataset.resolution_options.512_1_52_ar}
|
| 24 |
+
resolution_val_scannetpp: ${dataset.resolution_options.512_1_52_ar}
|
| 25 |
+
resolution_val_spring: ${dataset.resolution_options.512_1_77_ar}
|
| 26 |
+
resolution_val_tav2_wb: ${dataset.resolution_options.512_1_00_ar}
|
| 27 |
+
resolution_val_unrealstereo4k: ${dataset.resolution_options.512_1_77_ar}
|
| 28 |
+
|
| 29 |
+
# Training Set
|
| 30 |
+
train_dataset:
|
| 31 |
+
"+ 52_500 @ ${dataset.ase_wai.train.dataset_str}
|
| 32 |
+
+ 52_500 @ ${dataset.blendedmvs_wai.train.dataset_str}
|
| 33 |
+
+ 52_500 @ ${dataset.dl3dv_wai.train.dataset_str}
|
| 34 |
+
+ 40_000 @ ${dataset.dynamicreplica_wai.train.dataset_str}
|
| 35 |
+
+ 52_500 @ ${dataset.megadepth_wai.train.dataset_str}
|
| 36 |
+
+ 52_500 @ ${dataset.mpsd_wai.train.dataset_str}
|
| 37 |
+
+ 52_500 @ ${dataset.mvs_synth_wai.train.dataset_str}
|
| 38 |
+
+ 52_500 @ ${dataset.paralleldomain4d_wai.train.dataset_str}
|
| 39 |
+
+ 52_500 @ ${dataset.sailvos3d_wai.train.dataset_str}
|
| 40 |
+
+ 52_500 @ ${dataset.scannetpp_wai.train.dataset_str}
|
| 41 |
+
+ 2_000 @ ${dataset.spring_wai.train.dataset_str}
|
| 42 |
+
+ 52_500 @ ${dataset.tav2_wb_wai.train.dataset_str}
|
| 43 |
+
+ 5_500 @ ${dataset.unrealstereo4k_wai.train.dataset_str}"
|
| 44 |
+
|
| 45 |
+
# Validation Set
|
| 46 |
+
test_dataset:
|
| 47 |
+
"+ 4_000 @ ${dataset.ase_wai.val.dataset_str}
|
| 48 |
+
+ 4_000 @ ${dataset.blendedmvs_wai.val.dataset_str}
|
| 49 |
+
+ 4_000 @ ${dataset.dl3dv_wai.val.dataset_str}
|
| 50 |
+
+ 4_000 @ ${dataset.dynamicreplica_wai.val.dataset_str}
|
| 51 |
+
+ 4_000 @ ${dataset.megadepth_wai.val.dataset_str}
|
| 52 |
+
+ 4_000 @ ${dataset.mpsd_wai.val.dataset_str}
|
| 53 |
+
+ 4_000 @ ${dataset.mvs_synth_wai.val.dataset_str}
|
| 54 |
+
+ 4_000 @ ${dataset.paralleldomain4d_wai.val.dataset_str}
|
| 55 |
+
+ 4_000 @ ${dataset.sailvos3d_wai.val.dataset_str}
|
| 56 |
+
+ 4_000 @ ${dataset.scannetpp_wai.val.dataset_str}
|
| 57 |
+
+ 500 @ ${dataset.spring_wai.val.dataset_str}
|
| 58 |
+
+ 4_000 @ ${dataset.tav2_wb_wai.val.dataset_str}
|
| 59 |
+
+ 500 @ ${dataset.unrealstereo4k_wai.val.dataset_str}"
|
configs/dataset/megatrain_13d_518_many_ar_24ipg_16g.yaml
ADDED
|
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
defaults:
|
| 2 |
+
- default
|
| 3 |
+
|
| 4 |
+
# Number of views parameter for the multi-view datasets
|
| 5 |
+
num_views: 4
|
| 6 |
+
|
| 7 |
+
train:
|
| 8 |
+
# If True, the number of views can vary from batch to batch. The maximum number of views is num_views and minimum is 2. (On by default for N-view training)
|
| 9 |
+
variable_num_views: true
|
| 10 |
+
|
| 11 |
+
# Train Resolution
|
| 12 |
+
resolution_train: ${dataset.resolution_options.518_many_ar}
|
| 13 |
+
|
| 14 |
+
# Validation Resolution
|
| 15 |
+
resolution_val_ase: ${dataset.resolution_options.518_1_00_ar}
|
| 16 |
+
resolution_val_blendedmvs: ${dataset.resolution_options.518_1_33_ar}
|
| 17 |
+
resolution_val_dl3dv: ${dataset.resolution_options.518_1_77_ar}
|
| 18 |
+
resolution_val_dynamicreplica: ${dataset.resolution_options.518_1_77_ar}
|
| 19 |
+
resolution_val_megadepth: ${dataset.resolution_options.518_1_52_ar}
|
| 20 |
+
resolution_val_mpsd: ${dataset.resolution_options.518_1_77_ar}
|
| 21 |
+
resolution_val_mvs_synth: ${dataset.resolution_options.518_1_77_ar}
|
| 22 |
+
resolution_val_paralleldomain4d: ${dataset.resolution_options.518_1_33_ar}
|
| 23 |
+
resolution_val_sailvos3d: ${dataset.resolution_options.518_1_52_ar}
|
| 24 |
+
resolution_val_scannetpp: ${dataset.resolution_options.518_1_52_ar}
|
| 25 |
+
resolution_val_spring: ${dataset.resolution_options.518_1_77_ar}
|
| 26 |
+
resolution_val_tav2_wb: ${dataset.resolution_options.518_1_00_ar}
|
| 27 |
+
resolution_val_unrealstereo4k: ${dataset.resolution_options.518_1_77_ar}
|
| 28 |
+
|
| 29 |
+
# Training Set
|
| 30 |
+
train_dataset:
|
| 31 |
+
"+ 52_500 @ ${dataset.ase_wai.train.dataset_str}
|
| 32 |
+
+ 52_500 @ ${dataset.blendedmvs_wai.train.dataset_str}
|
| 33 |
+
+ 52_500 @ ${dataset.dl3dv_wai.train.dataset_str}
|
| 34 |
+
+ 40_000 @ ${dataset.dynamicreplica_wai.train.dataset_str}
|
| 35 |
+
+ 52_500 @ ${dataset.megadepth_wai.train.dataset_str}
|
| 36 |
+
+ 52_500 @ ${dataset.mpsd_wai.train.dataset_str}
|
| 37 |
+
+ 52_500 @ ${dataset.mvs_synth_wai.train.dataset_str}
|
| 38 |
+
+ 52_500 @ ${dataset.paralleldomain4d_wai.train.dataset_str}
|
| 39 |
+
+ 52_500 @ ${dataset.sailvos3d_wai.train.dataset_str}
|
| 40 |
+
+ 52_500 @ ${dataset.scannetpp_wai.train.dataset_str}
|
| 41 |
+
+ 2_000 @ ${dataset.spring_wai.train.dataset_str}
|
| 42 |
+
+ 52_500 @ ${dataset.tav2_wb_wai.train.dataset_str}
|
| 43 |
+
+ 5_500 @ ${dataset.unrealstereo4k_wai.train.dataset_str}"
|
| 44 |
+
|
| 45 |
+
# Validation Set
|
| 46 |
+
test_dataset:
|
| 47 |
+
"+ 4_000 @ ${dataset.ase_wai.val.dataset_str}
|
| 48 |
+
+ 4_000 @ ${dataset.blendedmvs_wai.val.dataset_str}
|
| 49 |
+
+ 4_000 @ ${dataset.dl3dv_wai.val.dataset_str}
|
| 50 |
+
+ 4_000 @ ${dataset.dynamicreplica_wai.val.dataset_str}
|
| 51 |
+
+ 4_000 @ ${dataset.megadepth_wai.val.dataset_str}
|
| 52 |
+
+ 4_000 @ ${dataset.mpsd_wai.val.dataset_str}
|
| 53 |
+
+ 4_000 @ ${dataset.mvs_synth_wai.val.dataset_str}
|
| 54 |
+
+ 4_000 @ ${dataset.paralleldomain4d_wai.val.dataset_str}
|
| 55 |
+
+ 4_000 @ ${dataset.sailvos3d_wai.val.dataset_str}
|
| 56 |
+
+ 4_000 @ ${dataset.scannetpp_wai.val.dataset_str}
|
| 57 |
+
+ 500 @ ${dataset.spring_wai.val.dataset_str}
|
| 58 |
+
+ 4_000 @ ${dataset.tav2_wb_wai.val.dataset_str}
|
| 59 |
+
+ 500 @ ${dataset.unrealstereo4k_wai.val.dataset_str}"
|
configs/dataset/megatrain_13d_518_many_ar_24ipg_8g.yaml
ADDED
|
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
defaults:
|
| 2 |
+
- default
|
| 3 |
+
|
| 4 |
+
# Number of views parameter for the multi-view datasets
|
| 5 |
+
num_views: 4
|
| 6 |
+
|
| 7 |
+
train:
|
| 8 |
+
# If True, the number of views can vary from batch to batch. The maximum number of views is num_views and minimum is 2. (On by default for N-view training)
|
| 9 |
+
variable_num_views: true
|
| 10 |
+
|
| 11 |
+
# Train Resolution
|
| 12 |
+
resolution_train: ${dataset.resolution_options.518_many_ar}
|
| 13 |
+
|
| 14 |
+
# Validation Resolution
|
| 15 |
+
resolution_val_ase: ${dataset.resolution_options.518_1_00_ar}
|
| 16 |
+
resolution_val_blendedmvs: ${dataset.resolution_options.518_1_33_ar}
|
| 17 |
+
resolution_val_dl3dv: ${dataset.resolution_options.518_1_77_ar}
|
| 18 |
+
resolution_val_dynamicreplica: ${dataset.resolution_options.518_1_77_ar}
|
| 19 |
+
resolution_val_megadepth: ${dataset.resolution_options.518_1_52_ar}
|
| 20 |
+
resolution_val_mpsd: ${dataset.resolution_options.518_1_77_ar}
|
| 21 |
+
resolution_val_mvs_synth: ${dataset.resolution_options.518_1_77_ar}
|
| 22 |
+
resolution_val_paralleldomain4d: ${dataset.resolution_options.518_1_33_ar}
|
| 23 |
+
resolution_val_sailvos3d: ${dataset.resolution_options.518_1_52_ar}
|
| 24 |
+
resolution_val_scannetpp: ${dataset.resolution_options.518_1_52_ar}
|
| 25 |
+
resolution_val_spring: ${dataset.resolution_options.518_1_77_ar}
|
| 26 |
+
resolution_val_tav2_wb: ${dataset.resolution_options.518_1_00_ar}
|
| 27 |
+
resolution_val_unrealstereo4k: ${dataset.resolution_options.518_1_77_ar}
|
| 28 |
+
|
| 29 |
+
# Training Set
|
| 30 |
+
train_dataset:
|
| 31 |
+
"+ 26_250 @ ${dataset.ase_wai.train.dataset_str}
|
| 32 |
+
+ 26_250 @ ${dataset.blendedmvs_wai.train.dataset_str}
|
| 33 |
+
+ 26_250 @ ${dataset.dl3dv_wai.train.dataset_str}
|
| 34 |
+
+ 20_000 @ ${dataset.dynamicreplica_wai.train.dataset_str}
|
| 35 |
+
+ 26_250 @ ${dataset.megadepth_wai.train.dataset_str}
|
| 36 |
+
+ 26_250 @ ${dataset.mpsd_wai.train.dataset_str}
|
| 37 |
+
+ 26_250 @ ${dataset.mvs_synth_wai.train.dataset_str}
|
| 38 |
+
+ 26_250 @ ${dataset.paralleldomain4d_wai.train.dataset_str}
|
| 39 |
+
+ 26_250 @ ${dataset.sailvos3d_wai.train.dataset_str}
|
| 40 |
+
+ 26_250 @ ${dataset.scannetpp_wai.train.dataset_str}
|
| 41 |
+
+ 1_000 @ ${dataset.spring_wai.train.dataset_str}
|
| 42 |
+
+ 26_250 @ ${dataset.tav2_wb_wai.train.dataset_str}
|
| 43 |
+
+ 2_750 @ ${dataset.unrealstereo4k_wai.train.dataset_str}"
|
| 44 |
+
|
| 45 |
+
# Validation Set
|
| 46 |
+
test_dataset:
|
| 47 |
+
"+ 4_000 @ ${dataset.ase_wai.val.dataset_str}
|
| 48 |
+
+ 4_000 @ ${dataset.blendedmvs_wai.val.dataset_str}
|
| 49 |
+
+ 4_000 @ ${dataset.dl3dv_wai.val.dataset_str}
|
| 50 |
+
+ 4_000 @ ${dataset.dynamicreplica_wai.val.dataset_str}
|
| 51 |
+
+ 4_000 @ ${dataset.megadepth_wai.val.dataset_str}
|
| 52 |
+
+ 4_000 @ ${dataset.mpsd_wai.val.dataset_str}
|
| 53 |
+
+ 4_000 @ ${dataset.mvs_synth_wai.val.dataset_str}
|
| 54 |
+
+ 4_000 @ ${dataset.paralleldomain4d_wai.val.dataset_str}
|
| 55 |
+
+ 4_000 @ ${dataset.sailvos3d_wai.val.dataset_str}
|
| 56 |
+
+ 4_000 @ ${dataset.scannetpp_wai.val.dataset_str}
|
| 57 |
+
+ 500 @ ${dataset.spring_wai.val.dataset_str}
|
| 58 |
+
+ 4_000 @ ${dataset.tav2_wb_wai.val.dataset_str}
|
| 59 |
+
+ 500 @ ${dataset.unrealstereo4k_wai.val.dataset_str}"
|
configs/dataset/megatrain_13d_518_many_ar_48ipg_64g.yaml
ADDED
|
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
defaults:
|
| 2 |
+
- default
|
| 3 |
+
|
| 4 |
+
# Number of views parameter for the multi-view datasets
|
| 5 |
+
num_views: 4
|
| 6 |
+
|
| 7 |
+
train:
|
| 8 |
+
# If True, the number of views can vary from batch to batch. The maximum number of views is num_views and minimum is 2. (On by default for N-view training)
|
| 9 |
+
variable_num_views: true
|
| 10 |
+
|
| 11 |
+
# Train Resolution
|
| 12 |
+
resolution_train: ${dataset.resolution_options.518_many_ar}
|
| 13 |
+
|
| 14 |
+
# Validation Resolution
|
| 15 |
+
resolution_val_ase: ${dataset.resolution_options.518_1_00_ar}
|
| 16 |
+
resolution_val_blendedmvs: ${dataset.resolution_options.518_1_33_ar}
|
| 17 |
+
resolution_val_dl3dv: ${dataset.resolution_options.518_1_77_ar}
|
| 18 |
+
resolution_val_dynamicreplica: ${dataset.resolution_options.518_1_77_ar}
|
| 19 |
+
resolution_val_megadepth: ${dataset.resolution_options.518_1_52_ar}
|
| 20 |
+
resolution_val_mpsd: ${dataset.resolution_options.518_1_77_ar}
|
| 21 |
+
resolution_val_mvs_synth: ${dataset.resolution_options.518_1_77_ar}
|
| 22 |
+
resolution_val_paralleldomain4d: ${dataset.resolution_options.518_1_33_ar}
|
| 23 |
+
resolution_val_sailvos3d: ${dataset.resolution_options.518_1_52_ar}
|
| 24 |
+
resolution_val_scannetpp: ${dataset.resolution_options.518_1_52_ar}
|
| 25 |
+
resolution_val_spring: ${dataset.resolution_options.518_1_77_ar}
|
| 26 |
+
resolution_val_tav2_wb: ${dataset.resolution_options.518_1_00_ar}
|
| 27 |
+
resolution_val_unrealstereo4k: ${dataset.resolution_options.518_1_77_ar}
|
| 28 |
+
|
| 29 |
+
# Training Set
|
| 30 |
+
train_dataset:
|
| 31 |
+
"+ 420_000 @ ${dataset.ase_wai.train.dataset_str}
|
| 32 |
+
+ 420_000 @ ${dataset.blendedmvs_wai.train.dataset_str}
|
| 33 |
+
+ 420_000 @ ${dataset.dl3dv_wai.train.dataset_str}
|
| 34 |
+
+ 320_000 @ ${dataset.dynamicreplica_wai.train.dataset_str}
|
| 35 |
+
+ 420_000 @ ${dataset.megadepth_wai.train.dataset_str}
|
| 36 |
+
+ 420_000 @ ${dataset.mpsd_wai.train.dataset_str}
|
| 37 |
+
+ 420_000 @ ${dataset.mvs_synth_wai.train.dataset_str}
|
| 38 |
+
+ 420_000 @ ${dataset.paralleldomain4d_wai.train.dataset_str}
|
| 39 |
+
+ 420_000 @ ${dataset.sailvos3d_wai.train.dataset_str}
|
| 40 |
+
+ 420_000 @ ${dataset.scannetpp_wai.train.dataset_str}
|
| 41 |
+
+ 16_000 @ ${dataset.spring_wai.train.dataset_str}
|
| 42 |
+
+ 420_000 @ ${dataset.tav2_wb_wai.train.dataset_str}
|
| 43 |
+
+ 44_000 @ ${dataset.unrealstereo4k_wai.train.dataset_str}"
|
| 44 |
+
|
| 45 |
+
# Validation Set
|
| 46 |
+
test_dataset:
|
| 47 |
+
"+ 4_000 @ ${dataset.ase_wai.val.dataset_str}
|
| 48 |
+
+ 4_000 @ ${dataset.blendedmvs_wai.val.dataset_str}
|
| 49 |
+
+ 4_000 @ ${dataset.dl3dv_wai.val.dataset_str}
|
| 50 |
+
+ 4_000 @ ${dataset.dynamicreplica_wai.val.dataset_str}
|
| 51 |
+
+ 4_000 @ ${dataset.megadepth_wai.val.dataset_str}
|
| 52 |
+
+ 4_000 @ ${dataset.mpsd_wai.val.dataset_str}
|
| 53 |
+
+ 4_000 @ ${dataset.mvs_synth_wai.val.dataset_str}
|
| 54 |
+
+ 4_000 @ ${dataset.paralleldomain4d_wai.val.dataset_str}
|
| 55 |
+
+ 4_000 @ ${dataset.sailvos3d_wai.val.dataset_str}
|
| 56 |
+
+ 4_000 @ ${dataset.scannetpp_wai.val.dataset_str}
|
| 57 |
+
+ 500 @ ${dataset.spring_wai.val.dataset_str}
|
| 58 |
+
+ 4_000 @ ${dataset.tav2_wb_wai.val.dataset_str}
|
| 59 |
+
+ 500 @ ${dataset.unrealstereo4k_wai.val.dataset_str}"
|
configs/dataset/megatrain_13d_518_many_ar_48ipg_8g_mono.yaml
ADDED
|
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
defaults:
|
| 2 |
+
- default
|
| 3 |
+
|
| 4 |
+
# Number of views parameter for the multi-view datasets
|
| 5 |
+
num_views: 1
|
| 6 |
+
|
| 7 |
+
train:
|
| 8 |
+
# If True, the number of views can vary from batch to batch. The maximum number of views is num_views and minimum is 2. (On by default for N-view training)
|
| 9 |
+
variable_num_views: true
|
| 10 |
+
|
| 11 |
+
# Train Resolution
|
| 12 |
+
resolution_train: ${dataset.resolution_options.518_many_ar}
|
| 13 |
+
|
| 14 |
+
# Validation Resolution
|
| 15 |
+
resolution_val_ase: ${dataset.resolution_options.518_1_00_ar}
|
| 16 |
+
resolution_val_blendedmvs: ${dataset.resolution_options.518_1_33_ar}
|
| 17 |
+
resolution_val_dl3dv: ${dataset.resolution_options.518_1_77_ar}
|
| 18 |
+
resolution_val_dynamicreplica: ${dataset.resolution_options.518_1_77_ar}
|
| 19 |
+
resolution_val_megadepth: ${dataset.resolution_options.518_1_52_ar}
|
| 20 |
+
resolution_val_mpsd: ${dataset.resolution_options.518_1_77_ar}
|
| 21 |
+
resolution_val_mvs_synth: ${dataset.resolution_options.518_1_77_ar}
|
| 22 |
+
resolution_val_paralleldomain4d: ${dataset.resolution_options.518_1_33_ar}
|
| 23 |
+
resolution_val_sailvos3d: ${dataset.resolution_options.518_1_52_ar}
|
| 24 |
+
resolution_val_scannetpp: ${dataset.resolution_options.518_1_52_ar}
|
| 25 |
+
resolution_val_spring: ${dataset.resolution_options.518_1_77_ar}
|
| 26 |
+
resolution_val_tav2_wb: ${dataset.resolution_options.518_1_00_ar}
|
| 27 |
+
resolution_val_unrealstereo4k: ${dataset.resolution_options.518_1_77_ar}
|
| 28 |
+
|
| 29 |
+
# Training Set
|
| 30 |
+
train_dataset:
|
| 31 |
+
"+ 105_000 @ ${dataset.ase_wai.train.dataset_str}
|
| 32 |
+
+ 105_000 @ ${dataset.blendedmvs_wai.train.dataset_str}
|
| 33 |
+
+ 105_000 @ ${dataset.dl3dv_wai.train.dataset_str}
|
| 34 |
+
+ 80_000 @ ${dataset.dynamicreplica_wai.train.dataset_str}
|
| 35 |
+
+ 105_000 @ ${dataset.megadepth_wai.train.dataset_str}
|
| 36 |
+
+ 105_000 @ ${dataset.mpsd_wai.train.dataset_str}
|
| 37 |
+
+ 105_000 @ ${dataset.mvs_synth_wai.train.dataset_str}
|
| 38 |
+
+ 105_000 @ ${dataset.paralleldomain4d_wai.train.dataset_str}
|
| 39 |
+
+ 105_000 @ ${dataset.sailvos3d_wai.train.dataset_str}
|
| 40 |
+
+ 105_000 @ ${dataset.scannetpp_wai.train.dataset_str}
|
| 41 |
+
+ 4_000 @ ${dataset.spring_wai.train.dataset_str}
|
| 42 |
+
+ 105_000 @ ${dataset.tav2_wb_wai.train.dataset_str}
|
| 43 |
+
+ 11_000 @ ${dataset.unrealstereo4k_wai.train.dataset_str}"
|
| 44 |
+
|
| 45 |
+
# Validation Set
|
| 46 |
+
test_dataset:
|
| 47 |
+
"+ 4_000 @ ${dataset.ase_wai.val.dataset_str}
|
| 48 |
+
+ 4_000 @ ${dataset.blendedmvs_wai.val.dataset_str}
|
| 49 |
+
+ 4_000 @ ${dataset.dl3dv_wai.val.dataset_str}
|
| 50 |
+
+ 4_000 @ ${dataset.dynamicreplica_wai.val.dataset_str}
|
| 51 |
+
+ 4_000 @ ${dataset.megadepth_wai.val.dataset_str}
|
| 52 |
+
+ 4_000 @ ${dataset.mpsd_wai.val.dataset_str}
|
| 53 |
+
+ 4_000 @ ${dataset.mvs_synth_wai.val.dataset_str}
|
| 54 |
+
+ 4_000 @ ${dataset.paralleldomain4d_wai.val.dataset_str}
|
| 55 |
+
+ 4_000 @ ${dataset.sailvos3d_wai.val.dataset_str}
|
| 56 |
+
+ 4_000 @ ${dataset.scannetpp_wai.val.dataset_str}
|
| 57 |
+
+ 500 @ ${dataset.spring_wai.val.dataset_str}
|
| 58 |
+
+ 4_000 @ ${dataset.tav2_wb_wai.val.dataset_str}
|
| 59 |
+
+ 500 @ ${dataset.unrealstereo4k_wai.val.dataset_str}"
|
configs/dataset/megatrain_6d_518_many_ar_48ipg_64g.yaml
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
defaults:
|
| 2 |
+
- default
|
| 3 |
+
|
| 4 |
+
# Number of views parameter for the multi-view datasets
|
| 5 |
+
num_views: 4
|
| 6 |
+
|
| 7 |
+
train:
|
| 8 |
+
# If True, the number of views can vary from batch to batch. The maximum number of views is num_views and minimum is 2. (On by default for N-view training)
|
| 9 |
+
variable_num_views: true
|
| 10 |
+
|
| 11 |
+
# Train Resolution
|
| 12 |
+
resolution_train: ${dataset.resolution_options.518_many_ar}
|
| 13 |
+
|
| 14 |
+
# Validation Resolution
|
| 15 |
+
resolution_val_blendedmvs: ${dataset.resolution_options.518_1_33_ar}
|
| 16 |
+
resolution_val_mpsd: ${dataset.resolution_options.518_1_77_ar}
|
| 17 |
+
resolution_val_scannetpp: ${dataset.resolution_options.518_1_52_ar}
|
| 18 |
+
resolution_val_spring: ${dataset.resolution_options.518_1_77_ar}
|
| 19 |
+
resolution_val_tav2_wb: ${dataset.resolution_options.518_1_00_ar}
|
| 20 |
+
resolution_val_unrealstereo4k: ${dataset.resolution_options.518_1_77_ar}
|
| 21 |
+
|
| 22 |
+
# Training Set
|
| 23 |
+
train_dataset:
|
| 24 |
+
"+ 1_120_000 @ ${dataset.blendedmvs_wai.train.dataset_str}
|
| 25 |
+
+ 1_120_000 @ ${dataset.mpsd_wai.train.dataset_str}
|
| 26 |
+
+ 1_120_000 @ ${dataset.scannetpp_wai.train.dataset_str}
|
| 27 |
+
+ 44_000 @ ${dataset.spring_wai.train.dataset_str}
|
| 28 |
+
+ 1_120_000 @ ${dataset.tav2_wb_wai.train.dataset_str}
|
| 29 |
+
+ 116_000 @ ${dataset.unrealstereo4k_wai.train.dataset_str}"
|
| 30 |
+
|
| 31 |
+
# Validation Set
|
| 32 |
+
test_dataset:
|
| 33 |
+
"+ 4_000 @ ${dataset.blendedmvs_wai.val.dataset_str}
|
| 34 |
+
+ 4_000 @ ${dataset.mpsd_wai.val.dataset_str}
|
| 35 |
+
+ 4_000 @ ${dataset.scannetpp_wai.val.dataset_str}
|
| 36 |
+
+ 500 @ ${dataset.spring_wai.val.dataset_str}
|
| 37 |
+
+ 4_000 @ ${dataset.tav2_wb_wai.val.dataset_str}
|
| 38 |
+
+ 500 @ ${dataset.unrealstereo4k_wai.val.dataset_str}"
|
configs/dataset/megatrain_6d_518_many_ar_48ipg_8g.yaml
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
defaults:
|
| 2 |
+
- default
|
| 3 |
+
|
| 4 |
+
# Number of views parameter for the multi-view datasets
|
| 5 |
+
num_views: 4
|
| 6 |
+
|
| 7 |
+
train:
|
| 8 |
+
# If True, the number of views can vary from batch to batch. The maximum number of views is num_views and minimum is 2. (On by default for N-view training)
|
| 9 |
+
variable_num_views: true
|
| 10 |
+
|
| 11 |
+
# Train Resolution
|
| 12 |
+
resolution_train: ${dataset.resolution_options.518_many_ar}
|
| 13 |
+
|
| 14 |
+
# Validation Resolution
|
| 15 |
+
resolution_val_blendedmvs: ${dataset.resolution_options.518_1_33_ar}
|
| 16 |
+
resolution_val_mpsd: ${dataset.resolution_options.518_1_77_ar}
|
| 17 |
+
resolution_val_scannetpp: ${dataset.resolution_options.518_1_52_ar}
|
| 18 |
+
resolution_val_spring: ${dataset.resolution_options.518_1_77_ar}
|
| 19 |
+
resolution_val_tav2_wb: ${dataset.resolution_options.518_1_00_ar}
|
| 20 |
+
resolution_val_unrealstereo4k: ${dataset.resolution_options.518_1_77_ar}
|
| 21 |
+
|
| 22 |
+
# Training Set
|
| 23 |
+
train_dataset:
|
| 24 |
+
"+ 140_000 @ ${dataset.blendedmvs_wai.train.dataset_str}
|
| 25 |
+
+ 140_000 @ ${dataset.mpsd_wai.train.dataset_str}
|
| 26 |
+
+ 140_000 @ ${dataset.scannetpp_wai.train.dataset_str}
|
| 27 |
+
+ 5_500 @ ${dataset.spring_wai.train.dataset_str}
|
| 28 |
+
+ 140_000 @ ${dataset.tav2_wb_wai.train.dataset_str}
|
| 29 |
+
+ 14_500 @ ${dataset.unrealstereo4k_wai.train.dataset_str}"
|
| 30 |
+
|
| 31 |
+
# Validation Set
|
| 32 |
+
test_dataset:
|
| 33 |
+
"+ 4_000 @ ${dataset.blendedmvs_wai.val.dataset_str}
|
| 34 |
+
+ 4_000 @ ${dataset.mpsd_wai.val.dataset_str}
|
| 35 |
+
+ 4_000 @ ${dataset.scannetpp_wai.val.dataset_str}
|
| 36 |
+
+ 500 @ ${dataset.spring_wai.val.dataset_str}
|
| 37 |
+
+ 4_000 @ ${dataset.tav2_wb_wai.val.dataset_str}
|
| 38 |
+
+ 500 @ ${dataset.unrealstereo4k_wai.val.dataset_str}"
|
configs/dataset/mpsd_wai/default.yaml
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
defaults:
|
| 2 |
+
- train: default
|
| 3 |
+
- val: default
|
configs/dataset/mpsd_wai/train/default.yaml
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
dataset_str:
|
| 2 |
+
"MPSDWAI(
|
| 3 |
+
split='${dataset.mpsd_wai.train.split}',
|
| 4 |
+
resolution=${dataset.mpsd_wai.train.dataset_resolution},
|
| 5 |
+
principal_point_centered=${dataset.mpsd_wai.train.principal_point_centered},
|
| 6 |
+
aug_crop=${dataset.mpsd_wai.train.aug_crop},
|
| 7 |
+
transform='${dataset.mpsd_wai.train.transform}',
|
| 8 |
+
data_norm_type='${dataset.mpsd_wai.train.data_norm_type}',
|
| 9 |
+
ROOT='${dataset.mpsd_wai.train.ROOT}',
|
| 10 |
+
dataset_metadata_dir='${dataset.mpsd_wai.train.dataset_metadata_dir}',
|
| 11 |
+
overfit_num_sets=${dataset.mpsd_wai.train.overfit_num_sets},
|
| 12 |
+
variable_num_views=${dataset.mpsd_wai.train.variable_num_views},
|
| 13 |
+
num_views=${dataset.mpsd_wai.train.num_views},
|
| 14 |
+
covisibility_thres=${dataset.mpsd_wai.train.covisibility_thres})"
|
| 15 |
+
split: 'train'
|
| 16 |
+
dataset_resolution: ${dataset.resolution_train}
|
| 17 |
+
principal_point_centered: ${dataset.principal_point_centered}
|
| 18 |
+
aug_crop: 16
|
| 19 |
+
transform: 'colorjitter+grayscale+gaublur'
|
| 20 |
+
data_norm_type: ${model.data_norm_type}
|
| 21 |
+
ROOT: ${root_data_dir}/mpsd
|
| 22 |
+
dataset_metadata_dir: ${mapanything_dataset_metadata_dir}
|
| 23 |
+
overfit_num_sets: null
|
| 24 |
+
variable_num_views: ${dataset.train.variable_num_views}
|
| 25 |
+
num_views: ${dataset.num_views}
|
| 26 |
+
covisibility_thres: 0.15
|
configs/dataset/mpsd_wai/val/default.yaml
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
dataset_str:
|
| 2 |
+
"MPSDWAI(
|
| 3 |
+
split='${dataset.mpsd_wai.val.split}',
|
| 4 |
+
resolution=${dataset.mpsd_wai.val.dataset_resolution},
|
| 5 |
+
principal_point_centered=${dataset.mpsd_wai.val.principal_point_centered},
|
| 6 |
+
seed=${dataset.mpsd_wai.val.seed},
|
| 7 |
+
transform='${dataset.mpsd_wai.val.transform}',
|
| 8 |
+
data_norm_type='${dataset.mpsd_wai.val.data_norm_type}',
|
| 9 |
+
ROOT='${dataset.mpsd_wai.val.ROOT}',
|
| 10 |
+
dataset_metadata_dir='${dataset.mpsd_wai.val.dataset_metadata_dir}',
|
| 11 |
+
overfit_num_sets=${dataset.mpsd_wai.val.overfit_num_sets},
|
| 12 |
+
variable_num_views=${dataset.mpsd_wai.val.variable_num_views},
|
| 13 |
+
num_views=${dataset.mpsd_wai.val.num_views},
|
| 14 |
+
covisibility_thres=${dataset.mpsd_wai.val.covisibility_thres})"
|
| 15 |
+
split: 'val'
|
| 16 |
+
dataset_resolution: ${dataset.resolution_val_mpsd}
|
| 17 |
+
principal_point_centered: ${dataset.principal_point_centered}
|
| 18 |
+
seed: 777
|
| 19 |
+
transform: 'imgnorm'
|
| 20 |
+
data_norm_type: ${model.data_norm_type}
|
| 21 |
+
ROOT: ${root_data_dir}/mpsd
|
| 22 |
+
dataset_metadata_dir: ${mapanything_dataset_metadata_dir}
|
| 23 |
+
overfit_num_sets: null
|
| 24 |
+
variable_num_views: ${dataset.val.variable_num_views}
|
| 25 |
+
num_views: ${dataset.num_views}
|
| 26 |
+
covisibility_thres: 0.15
|
configs/dataset/mvs_synth_wai/default.yaml
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
defaults:
|
| 2 |
+
- train: default
|
| 3 |
+
- val: default
|
configs/dataset/mvs_synth_wai/train/default.yaml
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
dataset_str:
|
| 2 |
+
"MVSSynthWAI(
|
| 3 |
+
split='${dataset.mvs_synth_wai.train.split}',
|
| 4 |
+
resolution=${dataset.mvs_synth_wai.train.dataset_resolution},
|
| 5 |
+
principal_point_centered=${dataset.mvs_synth_wai.train.principal_point_centered},
|
| 6 |
+
aug_crop=${dataset.mvs_synth_wai.train.aug_crop},
|
| 7 |
+
transform='${dataset.mvs_synth_wai.train.transform}',
|
| 8 |
+
data_norm_type='${dataset.mvs_synth_wai.train.data_norm_type}',
|
| 9 |
+
ROOT='${dataset.mvs_synth_wai.train.ROOT}',
|
| 10 |
+
dataset_metadata_dir='${dataset.mvs_synth_wai.train.dataset_metadata_dir}',
|
| 11 |
+
overfit_num_sets=${dataset.mvs_synth_wai.train.overfit_num_sets},
|
| 12 |
+
variable_num_views=${dataset.mvs_synth_wai.train.variable_num_views},
|
| 13 |
+
num_views=${dataset.mvs_synth_wai.train.num_views},
|
| 14 |
+
covisibility_thres=${dataset.mvs_synth_wai.train.covisibility_thres})"
|
| 15 |
+
split: 'train'
|
| 16 |
+
dataset_resolution: ${dataset.resolution_train}
|
| 17 |
+
principal_point_centered: ${dataset.principal_point_centered}
|
| 18 |
+
aug_crop: 16
|
| 19 |
+
transform: 'colorjitter+grayscale+gaublur'
|
| 20 |
+
data_norm_type: ${model.data_norm_type}
|
| 21 |
+
ROOT: ${root_data_dir}/mvs_synth
|
| 22 |
+
dataset_metadata_dir: ${mapanything_dataset_metadata_dir}
|
| 23 |
+
overfit_num_sets: null
|
| 24 |
+
variable_num_views: ${dataset.train.variable_num_views}
|
| 25 |
+
num_views: ${dataset.num_views}
|
| 26 |
+
covisibility_thres: 0.25
|
configs/dataset/mvs_synth_wai/val/default.yaml
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
dataset_str:
|
| 2 |
+
"MVSSynthWAI(
|
| 3 |
+
split='${dataset.mvs_synth_wai.val.split}',
|
| 4 |
+
resolution=${dataset.mvs_synth_wai.val.dataset_resolution},
|
| 5 |
+
principal_point_centered=${dataset.mvs_synth_wai.val.principal_point_centered},
|
| 6 |
+
seed=${dataset.mvs_synth_wai.val.seed},
|
| 7 |
+
transform='${dataset.mvs_synth_wai.val.transform}',
|
| 8 |
+
data_norm_type='${dataset.mvs_synth_wai.val.data_norm_type}',
|
| 9 |
+
ROOT='${dataset.mvs_synth_wai.val.ROOT}',
|
| 10 |
+
dataset_metadata_dir='${dataset.mvs_synth_wai.val.dataset_metadata_dir}',
|
| 11 |
+
overfit_num_sets=${dataset.mvs_synth_wai.val.overfit_num_sets},
|
| 12 |
+
variable_num_views=${dataset.mvs_synth_wai.val.variable_num_views},
|
| 13 |
+
num_views=${dataset.mvs_synth_wai.val.num_views},
|
| 14 |
+
covisibility_thres=${dataset.mvs_synth_wai.val.covisibility_thres})"
|
| 15 |
+
split: 'val'
|
| 16 |
+
dataset_resolution: ${dataset.resolution_val_mvs_synth}
|
| 17 |
+
principal_point_centered: ${dataset.principal_point_centered}
|
| 18 |
+
seed: 777
|
| 19 |
+
transform: 'imgnorm'
|
| 20 |
+
data_norm_type: ${model.data_norm_type}
|
| 21 |
+
ROOT: ${root_data_dir}/mvs_synth
|
| 22 |
+
dataset_metadata_dir: ${mapanything_dataset_metadata_dir}
|
| 23 |
+
overfit_num_sets: null
|
| 24 |
+
variable_num_views: ${dataset.val.variable_num_views}
|
| 25 |
+
num_views: ${dataset.num_views}
|
| 26 |
+
covisibility_thres: 0.25
|
configs/dataset/paralleldomain4d_wai/default.yaml
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
defaults:
|
| 2 |
+
- train: default
|
| 3 |
+
- val: default
|
configs/dataset/paralleldomain4d_wai/train/default.yaml
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
dataset_str:
|
| 2 |
+
"ParallelDomain4DWAI(
|
| 3 |
+
split='${dataset.paralleldomain4d_wai.train.split}',
|
| 4 |
+
resolution=${dataset.paralleldomain4d_wai.train.dataset_resolution},
|
| 5 |
+
principal_point_centered=${dataset.paralleldomain4d_wai.train.principal_point_centered},
|
| 6 |
+
aug_crop=${dataset.paralleldomain4d_wai.train.aug_crop},
|
| 7 |
+
transform='${dataset.paralleldomain4d_wai.train.transform}',
|
| 8 |
+
data_norm_type='${dataset.paralleldomain4d_wai.train.data_norm_type}',
|
| 9 |
+
ROOT='${dataset.paralleldomain4d_wai.train.ROOT}',
|
| 10 |
+
dataset_metadata_dir='${dataset.paralleldomain4d_wai.train.dataset_metadata_dir}',
|
| 11 |
+
overfit_num_sets=${dataset.paralleldomain4d_wai.train.overfit_num_sets},
|
| 12 |
+
variable_num_views=${dataset.paralleldomain4d_wai.train.variable_num_views},
|
| 13 |
+
num_views=${dataset.paralleldomain4d_wai.train.num_views},
|
| 14 |
+
covisibility_thres=${dataset.paralleldomain4d_wai.train.covisibility_thres})"
|
| 15 |
+
split: 'train'
|
| 16 |
+
dataset_resolution: ${dataset.resolution_train}
|
| 17 |
+
principal_point_centered: ${dataset.principal_point_centered}
|
| 18 |
+
aug_crop: 16
|
| 19 |
+
transform: 'colorjitter+grayscale+gaublur'
|
| 20 |
+
data_norm_type: ${model.data_norm_type}
|
| 21 |
+
ROOT: ${root_data_dir}/paralleldomain4d
|
| 22 |
+
dataset_metadata_dir: ${mapanything_dataset_metadata_dir}
|
| 23 |
+
overfit_num_sets: null
|
| 24 |
+
variable_num_views: ${dataset.train.variable_num_views}
|
| 25 |
+
num_views: ${dataset.num_views}
|
| 26 |
+
covisibility_thres: 0.25
|
configs/dataset/paralleldomain4d_wai/val/default.yaml
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
dataset_str:
|
| 2 |
+
"ParallelDomain4DWAI(
|
| 3 |
+
split='${dataset.paralleldomain4d_wai.val.split}',
|
| 4 |
+
resolution=${dataset.paralleldomain4d_wai.val.dataset_resolution},
|
| 5 |
+
principal_point_centered=${dataset.paralleldomain4d_wai.val.principal_point_centered},
|
| 6 |
+
seed=${dataset.paralleldomain4d_wai.val.seed},
|
| 7 |
+
transform='${dataset.paralleldomain4d_wai.val.transform}',
|
| 8 |
+
data_norm_type='${dataset.paralleldomain4d_wai.val.data_norm_type}',
|
| 9 |
+
ROOT='${dataset.paralleldomain4d_wai.val.ROOT}',
|
| 10 |
+
dataset_metadata_dir='${dataset.paralleldomain4d_wai.val.dataset_metadata_dir}',
|
| 11 |
+
overfit_num_sets=${dataset.paralleldomain4d_wai.val.overfit_num_sets},
|
| 12 |
+
variable_num_views=${dataset.paralleldomain4d_wai.val.variable_num_views},
|
| 13 |
+
num_views=${dataset.paralleldomain4d_wai.val.num_views},
|
| 14 |
+
covisibility_thres=${dataset.paralleldomain4d_wai.val.covisibility_thres})"
|
| 15 |
+
split: 'val'
|
| 16 |
+
dataset_resolution: ${dataset.resolution_val_paralleldomain4d}
|
| 17 |
+
principal_point_centered: ${dataset.principal_point_centered}
|
| 18 |
+
seed: 777
|
| 19 |
+
transform: 'imgnorm'
|
| 20 |
+
data_norm_type: ${model.data_norm_type}
|
| 21 |
+
ROOT: ${root_data_dir}/paralleldomain4d
|
| 22 |
+
dataset_metadata_dir: ${mapanything_dataset_metadata_dir}
|
| 23 |
+
overfit_num_sets: null
|
| 24 |
+
variable_num_views: ${dataset.val.variable_num_views}
|
| 25 |
+
num_views: ${dataset.num_views}
|
| 26 |
+
covisibility_thres: 0.25
|
configs/dataset/resolution_options/default.yaml
ADDED
|
@@ -0,0 +1,77 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
518_many_ar: '[(518, 518), (518, 392), (518, 336), (518, 294), (518, 252), (518, 168), (392, 518), (336, 518), (294, 518), (252, 518)]'
|
| 2 |
+
518_many_landscape_ar: '[(518, 518), (518, 392), (518, 336), (518, 294), (518, 252), (518, 168)]'
|
| 3 |
+
518_many_non_square_landscape_ar: '[(518, 392), (518, 336), (518, 294), (518, 252), (518, 168)]'
|
| 4 |
+
518_0_50_ar: (252, 518) # 1:2
|
| 5 |
+
518_0_56_ar: (294, 518) # 9:16
|
| 6 |
+
518_0_66_ar: (336, 518) # 2:3
|
| 7 |
+
518_0_75_ar: (392, 518) # 3:4
|
| 8 |
+
518_1_00_ar: (518, 518) # 1:1
|
| 9 |
+
518_1_33_ar: (518, 392) # 4:3
|
| 10 |
+
518_1_52_ar: (518, 336) # 3:2
|
| 11 |
+
518_1_77_ar: (518, 294) # 16:9
|
| 12 |
+
518_2_00_ar: (518, 252) # 2:1
|
| 13 |
+
518_3_20_ar: (518, 168) # 3.2:1
|
| 14 |
+
512_many_ar: '[(512, 512), (512, 384), (512, 336), (512, 288), (512, 256), (512, 160), (384, 512), (336, 512), (288, 512), (256, 512)]'
|
| 15 |
+
512_many_landscape_ar: '[(512, 512), (512, 384), (512, 336), (512, 288), (512, 256), (512, 160)]'
|
| 16 |
+
512_many_non_square_landscape_ar: '[(512, 384), (512, 336), (512, 288), (512, 256), (512, 160)]'
|
| 17 |
+
512_0_50_ar: (256, 512)
|
| 18 |
+
512_0_56_ar: (288, 512)
|
| 19 |
+
512_0_66_ar: (336, 512)
|
| 20 |
+
512_0_75_ar: (384, 512)
|
| 21 |
+
512_1_00_ar: (512, 512)
|
| 22 |
+
512_1_33_ar: (512, 384)
|
| 23 |
+
512_1_52_ar: (512, 336)
|
| 24 |
+
512_1_77_ar: (512, 288)
|
| 25 |
+
512_2_00_ar: (512, 256)
|
| 26 |
+
512_3_20_ar: (512, 160)
|
| 27 |
+
504_many_ar: '[(504, 504), (504, 378), (504, 322), (504, 280), (504, 238), (504, 154), (378, 504), (322, 504), (280, 504), (238, 504)]'
|
| 28 |
+
504_many_landscape_ar: '[(504, 504), (504, 378), (504, 322), (504, 280), (504, 238), (504, 154)]'
|
| 29 |
+
504_many_non_square_landscape_ar: '[(504, 378), (504, 322), (504, 280), (504, 238), (504, 154)]'
|
| 30 |
+
504_0_50_ar: (238, 504)
|
| 31 |
+
504_0_56_ar: (280, 504)
|
| 32 |
+
504_0_66_ar: (322, 504)
|
| 33 |
+
504_0_75_ar: (378, 504)
|
| 34 |
+
504_1_00_ar: (504, 504)
|
| 35 |
+
504_1_33_ar: (504, 378)
|
| 36 |
+
504_1_52_ar: (504, 322)
|
| 37 |
+
504_1_77_ar: (504, 280)
|
| 38 |
+
504_2_00_ar: (504, 238)
|
| 39 |
+
504_3_20_ar: (504, 154)
|
| 40 |
+
448_many_ar: '[(448, 448), (448, 336), (448, 294), (448, 252), (448, 224), (448, 140), (336, 448), (294, 448), (252, 448), (224, 448)]'
|
| 41 |
+
448_many_landscape_ar: '[(448, 448), (448, 336), (448, 294), (448, 252), (448, 224), (448, 140)]'
|
| 42 |
+
448_many_non_square_landscape_ar: '[(448, 336), (448, 294), (448, 252), (448, 224), (448, 140)]'
|
| 43 |
+
448_0_50_ar: (224, 448)
|
| 44 |
+
448_0_56_ar: (252, 448)
|
| 45 |
+
448_0_66_ar: (294, 448)
|
| 46 |
+
448_0_75_ar: (336, 448)
|
| 47 |
+
448_1_00_ar: (448, 448)
|
| 48 |
+
448_1_33_ar: (448, 336)
|
| 49 |
+
448_1_52_ar: (448, 294)
|
| 50 |
+
448_1_77_ar: (448, 252)
|
| 51 |
+
448_2_00_ar: (448, 224)
|
| 52 |
+
448_3_20_ar: (448, 140)
|
| 53 |
+
224_many_ar_14ps: '[(224, 224), (224, 168), (224, 154), (224, 126), (224, 112), (224, 70), (168, 224), (154, 224), (126, 224), (112, 224)]'
|
| 54 |
+
224_many_landscape_ar_14ps: '[(224, 224), (224, 168), (224, 154), (224, 126), (224, 112), (224, 70)]'
|
| 55 |
+
224_many_non_square_landscape_ar_14ps: '[(224, 168), (224, 154), (224, 126), (224, 112), (224, 70)]'
|
| 56 |
+
224_0_50_ar_14ps: (112, 224)
|
| 57 |
+
224_0_56_ar_14ps: (126, 224)
|
| 58 |
+
224_0_66_ar_14ps: (154, 224)
|
| 59 |
+
224_0_75_ar_14ps: (168, 224)
|
| 60 |
+
224_1_00_ar: (224, 224)
|
| 61 |
+
224_1_33_ar_14ps: (224, 168)
|
| 62 |
+
224_1_52_ar_14ps: (224, 154)
|
| 63 |
+
224_1_77_ar_14ps: (224, 126)
|
| 64 |
+
224_2_00_ar_14ps: (224, 112)
|
| 65 |
+
224_3_20_ar_14ps: (224, 70)
|
| 66 |
+
224_many_ar_16ps: '[(224, 224), (224, 176), (224, 160), (224, 128), (224, 112), (224, 80), (176, 224), (160, 224), (128, 224), (112, 224)]'
|
| 67 |
+
224_many_landscape_ar_16ps: '[(224, 224), (224, 176), (224, 160), (224, 128), (224, 112), (224, 80)]'
|
| 68 |
+
224_many_non_square_landscape_ar_16ps: '[(224, 176), (224, 160), (224, 128), (224, 112), (224, 80)]'
|
| 69 |
+
224_0_50_ar_16ps: (112, 224)
|
| 70 |
+
224_0_56_ar_16ps: (128, 224)
|
| 71 |
+
224_0_66_ar_16ps: (160, 224)
|
| 72 |
+
224_0_75_ar_16ps: (176, 224)
|
| 73 |
+
224_1_33_ar_16ps: (224, 176)
|
| 74 |
+
224_1_52_ar_16ps: (224, 160)
|
| 75 |
+
224_1_77_ar_16ps: (224, 128)
|
| 76 |
+
224_2_00_ar_16ps: (224, 112)
|
| 77 |
+
224_3_20_ar_16ps: (224, 80)
|
configs/dataset/sailvos3d_wai/default.yaml
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
defaults:
|
| 2 |
+
- train: default
|
| 3 |
+
- val: default
|
configs/dataset/sailvos3d_wai/train/default.yaml
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
dataset_str:
|
| 2 |
+
"SAILVOS3DWAI(
|
| 3 |
+
split='${dataset.sailvos3d_wai.train.split}',
|
| 4 |
+
resolution=${dataset.sailvos3d_wai.train.dataset_resolution},
|
| 5 |
+
principal_point_centered=${dataset.sailvos3d_wai.train.principal_point_centered},
|
| 6 |
+
aug_crop=${dataset.sailvos3d_wai.train.aug_crop},
|
| 7 |
+
transform='${dataset.sailvos3d_wai.train.transform}',
|
| 8 |
+
data_norm_type='${dataset.sailvos3d_wai.train.data_norm_type}',
|
| 9 |
+
ROOT='${dataset.sailvos3d_wai.train.ROOT}',
|
| 10 |
+
dataset_metadata_dir='${dataset.sailvos3d_wai.train.dataset_metadata_dir}',
|
| 11 |
+
overfit_num_sets=${dataset.sailvos3d_wai.train.overfit_num_sets},
|
| 12 |
+
variable_num_views=${dataset.sailvos3d_wai.train.variable_num_views},
|
| 13 |
+
num_views=${dataset.sailvos3d_wai.train.num_views},
|
| 14 |
+
covisibility_thres=${dataset.sailvos3d_wai.train.covisibility_thres})"
|
| 15 |
+
split: 'train'
|
| 16 |
+
dataset_resolution: ${dataset.resolution_train}
|
| 17 |
+
principal_point_centered: ${dataset.principal_point_centered}
|
| 18 |
+
aug_crop: 16
|
| 19 |
+
transform: 'colorjitter+grayscale+gaublur'
|
| 20 |
+
data_norm_type: ${model.data_norm_type}
|
| 21 |
+
ROOT: ${root_data_dir}/sailvos3d
|
| 22 |
+
dataset_metadata_dir: ${mapanything_dataset_metadata_dir}
|
| 23 |
+
overfit_num_sets: null
|
| 24 |
+
variable_num_views: ${dataset.train.variable_num_views}
|
| 25 |
+
num_views: ${dataset.num_views}
|
| 26 |
+
covisibility_thres: 0.25
|
configs/dataset/sailvos3d_wai/val/default.yaml
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
dataset_str:
|
| 2 |
+
"SAILVOS3DWAI(
|
| 3 |
+
split='${dataset.sailvos3d_wai.val.split}',
|
| 4 |
+
resolution=${dataset.sailvos3d_wai.val.dataset_resolution},
|
| 5 |
+
principal_point_centered=${dataset.sailvos3d_wai.val.principal_point_centered},
|
| 6 |
+
seed=${dataset.sailvos3d_wai.val.seed},
|
| 7 |
+
transform='${dataset.sailvos3d_wai.val.transform}',
|
| 8 |
+
data_norm_type='${dataset.sailvos3d_wai.val.data_norm_type}',
|
| 9 |
+
ROOT='${dataset.sailvos3d_wai.val.ROOT}',
|
| 10 |
+
dataset_metadata_dir='${dataset.sailvos3d_wai.val.dataset_metadata_dir}',
|
| 11 |
+
overfit_num_sets=${dataset.sailvos3d_wai.val.overfit_num_sets},
|
| 12 |
+
variable_num_views=${dataset.sailvos3d_wai.val.variable_num_views},
|
| 13 |
+
num_views=${dataset.sailvos3d_wai.val.num_views},
|
| 14 |
+
covisibility_thres=${dataset.sailvos3d_wai.val.covisibility_thres})"
|
| 15 |
+
split: 'val'
|
| 16 |
+
dataset_resolution: ${dataset.resolution_val_sailvos3d}
|
| 17 |
+
principal_point_centered: ${dataset.principal_point_centered}
|
| 18 |
+
seed: 777
|
| 19 |
+
transform: 'imgnorm'
|
| 20 |
+
data_norm_type: ${model.data_norm_type}
|
| 21 |
+
ROOT: ${root_data_dir}/sailvos3d
|
| 22 |
+
dataset_metadata_dir: ${mapanything_dataset_metadata_dir}
|
| 23 |
+
overfit_num_sets: null
|
| 24 |
+
variable_num_views: ${dataset.val.variable_num_views}
|
| 25 |
+
num_views: ${dataset.num_views}
|
| 26 |
+
covisibility_thres: 0.25
|
configs/dataset/scannetpp_wai/default.yaml
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
defaults:
|
| 2 |
+
- train: default
|
| 3 |
+
- val: default
|
| 4 |
+
- test: default
|
configs/dataset/scannetpp_wai/test/default.yaml
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
dataset_str:
|
| 2 |
+
"ScanNetPPWAI(
|
| 3 |
+
split='${dataset.scannetpp_wai.test.split}',
|
| 4 |
+
resolution=${dataset.scannetpp_wai.test.dataset_resolution},
|
| 5 |
+
principal_point_centered=${dataset.scannetpp_wai.test.principal_point_centered},
|
| 6 |
+
seed=${dataset.scannetpp_wai.test.seed},
|
| 7 |
+
transform='${dataset.scannetpp_wai.test.transform}',
|
| 8 |
+
data_norm_type='${dataset.scannetpp_wai.test.data_norm_type}',
|
| 9 |
+
ROOT='${dataset.scannetpp_wai.test.ROOT}',
|
| 10 |
+
dataset_metadata_dir='${dataset.scannetpp_wai.test.dataset_metadata_dir}',
|
| 11 |
+
variable_num_views=${dataset.scannetpp_wai.test.variable_num_views},
|
| 12 |
+
num_views=${dataset.scannetpp_wai.test.num_views},
|
| 13 |
+
covisibility_thres=${dataset.scannetpp_wai.test.covisibility_thres})"
|
| 14 |
+
split: 'test'
|
| 15 |
+
dataset_resolution: ${dataset.resolution_test_scannetpp}
|
| 16 |
+
principal_point_centered: ${dataset.principal_point_centered}
|
| 17 |
+
seed: 777
|
| 18 |
+
transform: 'imgnorm'
|
| 19 |
+
data_norm_type: ${model.data_norm_type}
|
| 20 |
+
ROOT: ${root_data_dir}/scannetppv2
|
| 21 |
+
dataset_metadata_dir: ${mapanything_dataset_metadata_dir}
|
| 22 |
+
variable_num_views: ${dataset.test.variable_num_views}
|
| 23 |
+
num_views: ${dataset.num_views}
|
| 24 |
+
covisibility_thres: 0.25
|
configs/dataset/scannetpp_wai/train/default.yaml
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
dataset_str:
|
| 2 |
+
"ScanNetPPWAI(
|
| 3 |
+
split='${dataset.scannetpp_wai.train.split}',
|
| 4 |
+
resolution=${dataset.scannetpp_wai.train.dataset_resolution},
|
| 5 |
+
principal_point_centered=${dataset.scannetpp_wai.train.principal_point_centered},
|
| 6 |
+
aug_crop=${dataset.scannetpp_wai.train.aug_crop},
|
| 7 |
+
transform='${dataset.scannetpp_wai.train.transform}',
|
| 8 |
+
data_norm_type='${dataset.scannetpp_wai.train.data_norm_type}',
|
| 9 |
+
ROOT='${dataset.scannetpp_wai.train.ROOT}',
|
| 10 |
+
dataset_metadata_dir='${dataset.scannetpp_wai.train.dataset_metadata_dir}',
|
| 11 |
+
overfit_num_sets=${dataset.scannetpp_wai.train.overfit_num_sets},
|
| 12 |
+
variable_num_views=${dataset.scannetpp_wai.train.variable_num_views},
|
| 13 |
+
num_views=${dataset.scannetpp_wai.train.num_views},
|
| 14 |
+
covisibility_thres=${dataset.scannetpp_wai.train.covisibility_thres})"
|
| 15 |
+
split: 'train'
|
| 16 |
+
dataset_resolution: ${dataset.resolution_train}
|
| 17 |
+
principal_point_centered: ${dataset.principal_point_centered}
|
| 18 |
+
aug_crop: 16
|
| 19 |
+
transform: 'colorjitter+grayscale+gaublur'
|
| 20 |
+
data_norm_type: ${model.data_norm_type}
|
| 21 |
+
ROOT: ${root_data_dir}/scannetppv2
|
| 22 |
+
dataset_metadata_dir: ${mapanything_dataset_metadata_dir}
|
| 23 |
+
overfit_num_sets: null
|
| 24 |
+
variable_num_views: ${dataset.train.variable_num_views}
|
| 25 |
+
num_views: ${dataset.num_views}
|
| 26 |
+
covisibility_thres: 0.25
|
configs/dataset/scannetpp_wai/val/default.yaml
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
dataset_str:
|
| 2 |
+
"ScanNetPPWAI(
|
| 3 |
+
split='${dataset.scannetpp_wai.val.split}',
|
| 4 |
+
resolution=${dataset.scannetpp_wai.val.dataset_resolution},
|
| 5 |
+
principal_point_centered=${dataset.scannetpp_wai.val.principal_point_centered},
|
| 6 |
+
seed=${dataset.scannetpp_wai.val.seed},
|
| 7 |
+
transform='${dataset.scannetpp_wai.val.transform}',
|
| 8 |
+
data_norm_type='${dataset.scannetpp_wai.val.data_norm_type}',
|
| 9 |
+
ROOT='${dataset.scannetpp_wai.val.ROOT}',
|
| 10 |
+
dataset_metadata_dir='${dataset.scannetpp_wai.val.dataset_metadata_dir}',
|
| 11 |
+
overfit_num_sets=${dataset.scannetpp_wai.val.overfit_num_sets},
|
| 12 |
+
variable_num_views=${dataset.scannetpp_wai.val.variable_num_views},
|
| 13 |
+
num_views=${dataset.scannetpp_wai.val.num_views},
|
| 14 |
+
covisibility_thres=${dataset.scannetpp_wai.val.covisibility_thres})"
|
| 15 |
+
split: 'val'
|
| 16 |
+
dataset_resolution: ${dataset.resolution_val_scannetpp}
|
| 17 |
+
principal_point_centered: ${dataset.principal_point_centered}
|
| 18 |
+
seed: 777
|
| 19 |
+
transform: 'imgnorm'
|
| 20 |
+
data_norm_type: ${model.data_norm_type}
|
| 21 |
+
ROOT: ${root_data_dir}/scannetppv2
|
| 22 |
+
dataset_metadata_dir: ${mapanything_dataset_metadata_dir}
|
| 23 |
+
overfit_num_sets: null
|
| 24 |
+
variable_num_views: ${dataset.val.variable_num_views}
|
| 25 |
+
num_views: ${dataset.num_views}
|
| 26 |
+
covisibility_thres: 0.25
|
configs/dataset/spring_wai/default.yaml
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
defaults:
|
| 2 |
+
- train: default
|
| 3 |
+
- val: default
|
configs/dataset/spring_wai/train/default.yaml
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
dataset_str:
|
| 2 |
+
"SpringWAI(
|
| 3 |
+
split='${dataset.spring_wai.train.split}',
|
| 4 |
+
resolution=${dataset.spring_wai.train.dataset_resolution},
|
| 5 |
+
principal_point_centered=${dataset.spring_wai.train.principal_point_centered},
|
| 6 |
+
aug_crop=${dataset.spring_wai.train.aug_crop},
|
| 7 |
+
transform='${dataset.spring_wai.train.transform}',
|
| 8 |
+
data_norm_type='${dataset.spring_wai.train.data_norm_type}',
|
| 9 |
+
ROOT='${dataset.spring_wai.train.ROOT}',
|
| 10 |
+
dataset_metadata_dir='${dataset.spring_wai.train.dataset_metadata_dir}',
|
| 11 |
+
overfit_num_sets=${dataset.spring_wai.train.overfit_num_sets},
|
| 12 |
+
variable_num_views=${dataset.spring_wai.train.variable_num_views},
|
| 13 |
+
num_views=${dataset.spring_wai.train.num_views},
|
| 14 |
+
covisibility_thres=${dataset.spring_wai.train.covisibility_thres})"
|
| 15 |
+
split: 'train'
|
| 16 |
+
dataset_resolution: ${dataset.resolution_train}
|
| 17 |
+
principal_point_centered: ${dataset.principal_point_centered}
|
| 18 |
+
aug_crop: 16
|
| 19 |
+
transform: 'colorjitter+grayscale+gaublur'
|
| 20 |
+
data_norm_type: ${model.data_norm_type}
|
| 21 |
+
ROOT: ${root_data_dir}/spring
|
| 22 |
+
dataset_metadata_dir: ${mapanything_dataset_metadata_dir}
|
| 23 |
+
overfit_num_sets: null
|
| 24 |
+
variable_num_views: ${dataset.train.variable_num_views}
|
| 25 |
+
num_views: ${dataset.num_views}
|
| 26 |
+
covisibility_thres: 0.25
|
configs/dataset/spring_wai/val/default.yaml
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
dataset_str:
|
| 2 |
+
"SpringWAI(
|
| 3 |
+
split='${dataset.spring_wai.val.split}',
|
| 4 |
+
resolution=${dataset.spring_wai.val.dataset_resolution},
|
| 5 |
+
principal_point_centered=${dataset.spring_wai.val.principal_point_centered},
|
| 6 |
+
seed=${dataset.spring_wai.val.seed},
|
| 7 |
+
transform='${dataset.spring_wai.val.transform}',
|
| 8 |
+
data_norm_type='${dataset.spring_wai.val.data_norm_type}',
|
| 9 |
+
ROOT='${dataset.spring_wai.val.ROOT}',
|
| 10 |
+
dataset_metadata_dir='${dataset.spring_wai.val.dataset_metadata_dir}',
|
| 11 |
+
overfit_num_sets=${dataset.spring_wai.val.overfit_num_sets},
|
| 12 |
+
variable_num_views=${dataset.spring_wai.val.variable_num_views},
|
| 13 |
+
num_views=${dataset.spring_wai.val.num_views},
|
| 14 |
+
covisibility_thres=${dataset.spring_wai.val.covisibility_thres})"
|
| 15 |
+
split: 'val'
|
| 16 |
+
dataset_resolution: ${dataset.resolution_val_spring}
|
| 17 |
+
principal_point_centered: ${dataset.principal_point_centered}
|
| 18 |
+
seed: 777
|
| 19 |
+
transform: 'imgnorm'
|
| 20 |
+
data_norm_type: ${model.data_norm_type}
|
| 21 |
+
ROOT: ${root_data_dir}/spring
|
| 22 |
+
dataset_metadata_dir: ${mapanything_dataset_metadata_dir}
|
| 23 |
+
overfit_num_sets: null
|
| 24 |
+
variable_num_views: ${dataset.val.variable_num_views}
|
| 25 |
+
num_views: ${dataset.num_views}
|
| 26 |
+
covisibility_thres: 0.25
|