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model:
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base_learning_rate: 4.0e-05
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target: src.model_mesh.MVRecon
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params:
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init_ckpt: logs/instant-nerf-large-train/checkpoints/last.ckpt
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input_size: 320
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render_size: 512
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lrm_generator_config:
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target: src.models.lrm_mesh.InstantMesh
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params:
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encoder_feat_dim: 768
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encoder_freeze: false
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encoder_model_name: facebook/dino-vitb16
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transformer_dim: 1024
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transformer_layers: 16
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transformer_heads: 16
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triplane_low_res: 32
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triplane_high_res: 64
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triplane_dim: 80
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rendering_samples_per_ray: 128
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grid_res: 128
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grid_scale: 2.1
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data:
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target: src.data.objaverse.DataModuleFromConfig
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params:
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batch_size: 2
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num_workers: 8
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train:
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target: src.data.objaverse.ObjaverseData
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params:
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root_dir: data/objaverse
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meta_fname: filtered_obj_name.json
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input_image_dir: rendering_random_32views
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target_image_dir: rendering_random_32views
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input_view_num: 6
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target_view_num: 4
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total_view_n: 32
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fov: 50
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camera_rotation: true
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validation: false
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validation:
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target: src.data.objaverse.ValidationData
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params:
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root_dir: data/valid_samples
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input_view_num: 6
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input_image_size: 320
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fov: 30
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lightning:
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modelcheckpoint:
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params:
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every_n_train_steps: 2000
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save_top_k: -1
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save_last: true
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callbacks: {}
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trainer:
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benchmark: true
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max_epochs: -1
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val_check_interval: 1000
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num_sanity_val_steps: 0
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accumulate_grad_batches: 1
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check_val_every_n_epoch: null # if not set this, validation does not run
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