einsafutdinov commited on
Commit
63bdfb3
1 Parent(s): 00fcd87

add re10k v1 model

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Files changed (2) hide show
  1. config_re10k_v1.yaml +93 -0
  2. model_re10k_v1.pth +3 -0
config_re10k_v1.yaml ADDED
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+ model:
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+ name: unidepth_extension_vit
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+ num_layers_pose: 18
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+ backbone: convnextv2_large
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+ min_depth: 0.1
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+ max_depth: 20
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+ use_stereo: false
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+ frame_ids:
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+ - 0
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+ - -1
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+ - 1
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+ scales:
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+ - 0
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+ - 1
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+ - 2
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+ - 3
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+ gauss_novel_frames:
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+ - -1
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+ - 1
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+ - 2
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+ gaussian_rendering: true
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+ resnet_bn_order: pre_bn
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+ stopgrad_depth: false
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+ stopgrad_pose: false
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+ predict_offset: true
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+ num_ch_dec:
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+ - 32
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+ - 32
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+ - 64
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+ - 128
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+ - 256
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+ unified_decoder: false
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+ shift_rays_half_pixel: forward
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+ no_ssim: false
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+ weights_init: pretrained
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+ pose_model_input: pairs
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+ pose_model_type: separate_resnet
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+ max_sh_degree: 1
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+ depth_type: depth_inc
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+ merged_warped_depth: max
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+ depth_thr: 0.1
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+ depth_scale: 0.1
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+ xyz_scale: 0.2
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+ opacity_scale: 1.0
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+ scale_scale: 0.1
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+ scale_lambda: 0.01
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+ depth_bias: -0.1
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+ xyz_bias: 0.0
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+ opacity_bias: 0.0
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+ scale_bias: 0.02
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+ sh_scale: 1.0
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+ scaled_offset: false
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+ bg_colour:
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+ - 0.5
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+ - 0.5
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+ - 0.5
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+ randomise_bg_colour: true
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+ renderer_w_pose: true
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+ gaussians_per_pixel: 2
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+ one_gauss_decoder: false
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+ num_layers: 50
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+ scale_with_depth: false
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+ splat_branch: resnet
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+ depth_cond: true
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+ dataset:
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+ name: nyuv2
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+ split: original
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+ data_path: /scratch/shared/nfs1/eldar/data/nyuv2
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+ colmap_path: /scratch/shared/nfs1/eldar/data/nyuv2_colmap
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+ color_aug: false
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+ height: 256
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+ width: 384
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+ resize: true
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+ baseline_epsilon: 0.001
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+ max_fov: 100.0
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+ skip_bad_shape: true
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+ near: -1.0
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+ far: -1.0
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+ crop_principal_point: false
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+ subset: -1
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+ pad_border_aug: 32
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+ dilation: random
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+ max_dilation: 15
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+ unpack_pcl_tar: true
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+ crop_border: true
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+ optimiser:
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+ batch_size: 1
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+ train:
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+ data_augmentation: true
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+ mixed_precision: false
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+ load_weights_folder: null
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+ supervised_depth: false
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+ frame_sampling_method: two_forward_one_back
model_re10k_v1.pth ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:68fe1249db2b9d373ac6e0c2e80a0f79c9383bf53f848f7727c9fe8f222706b1
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+ size 731910673