removing conflicting hydra conf

pix2poly/224/building_fusion/.hydra/config.yaml

@@ -1,122 +0,0 @@
-host:
-  name: gin
-  data_root: /data/rsulzer/${..dataset.name}_dataset
-  model_root: /data/rsulzer/${..dataset.name}_output
-  multi_gpu: false
-  device: cuda
-  update_pbar_every: 1
-  ldof_exe: /user/rsulzer/home/cpp/line-DOF-metric/build/calculate_DoF
-  dino_v2_repo: /user/rsulzer/home/remote_python/dinov2
-run_type:
-  name: release
-  batch_size: 16
-  train_subset: null
-  val_subset: null
-  test_subset: null
-  logging: INFO
-  num_workers: 16
-  log_to_wandb: true
-dataset:
-  name: PixelsPointsPolygons
-  size: ${..experiment.encoder.in_size}
-  path: ${host.data_root}/data/${.size}
-  annotations:
-    train: ${..path}/annotations/${...experiment.annotation_type}/annotations_${...experiment.country}_train.json
-    val: ${..path}/annotations/${...experiment.annotation_type}/annotations_${...experiment.country}_val.json
-    test: ${..path}/annotations/${...experiment.annotation_type}/annotations_${...experiment.country}_test.json
-  ffl_stats:
-    train: ${..path}/ffl/train/stats-${...experiment.country}.pt
-    val: ${..path}/ffl/val/stats-${...experiment.country}.pt
-    test: ${..path}/ffl/test/stats-${...experiment.country}.pt
-  train_subset: ${..run_type.train_subset}
-  val_subset: ${..run_type.val_subset}
-  test_subset: ${..run_type.test_subset}
-experiment:
-  encoder:
-    name: early_fusion_vit
-    use_images: true
-    use_lidar: true
-    in_size: 224
-    in_height: ${.in_size}
-    in_width: ${.in_size}
-    in_voxel_size:
-      x: 8
-      'y': 8
-      z: 100
-    max_num_points_per_voxel: 64
-    max_num_voxels:
-      train: 784
-      test: 784
-    out_feature_width: 28
-    out_feature_height: 28
-    vit:
-      type: vit_small_patch${..patch_size}_${..in_size}.dino
-      checkpoint_file: ${....host.model_root}/backbones/dino_deitsmall8_pretrain.pth
-      pretrained: true
-    patch_size: 8
-    patch_feature_size: 28
-    patch_feature_height: ${.patch_feature_size}
-    patch_feature_width: ${.patch_feature_size}
-    patch_feature_dim: 384
-    num_patches: 784
-    out_feature_dim: ${..model.decoder.in_feature_dim}
-    image_mean:
-    - 0.0
-    - 0.0
-    - 0.0
-    image_std:
-    - 1.0
-    - 1.0
-    - 1.0
-    image_max_pixel_value: 255.0
-    augmentations:
-    - D4
-    - ColorJitter
-    - GaussNoise
-    - Normalize
-  model:
-    name: pix2poly
-    decoder:
-      in_feature_size: ${...encoder.patch_feature_size}
-      in_feature_width: ${.in_feature_size}
-      in_feature_height: ${.in_feature_size}
-      in_feature_dim: 256
-    tokenizer:
-      num_bins: ${...encoder.in_size}
-      shuffle_tokens: false
-      n_vertices: 192
-      max_len: null
-      pad_idx: null
-      generation_steps: null
-    fusion: patch_concat
-    sinkhorn_iterations: 100
-    label_smoothing: 0.0
-    vertex_loss_weight: 1.0
-    perm_loss_weight: 10.0
-    batch_size: ${...run_type.batch_size}
-    start_epoch: 0
-    num_epochs: 200
-    milestone: 0
-    learning_rate: 0.0003
-    weight_decay: 0.0001
-  name: building_fusion
-  group_name: v3_${.model.name}
-  lidar_dropout: null
-  country: CH
-  annotation_type: buildings
-training:
-  save_best: true
-  save_latest: true
-  save_every: 10
-  val_every: 1
-  best_val_loss: 10000000.0
-  best_val_iou: 0.0
-evaluation:
-  split: val
-  pred_file: ${..output_dir}/predictions_${..experiment.country}_${.split}/${..checkpoint}.json
-  modes:
-  - iou
-  eval_file: results/metrics
-output_dir: ${.host.model_root}/${.experiment.model.name}/${.experiment.encoder.in_size}/${.experiment.name}
-checkpoint: null
-num_workers: ${.run_type.num_workers}

pix2poly/224/building_fusion/.hydra/hydra.yaml

@@ -1,165 +0,0 @@
-hydra:
-  run:
-    dir: ${...output_dir}
-  sweep:
-    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
-    subdir: ${hydra.job.num}
-  launcher:
-    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
-  sweeper:
-    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
-    max_batch_size: null
-    params: null
-  help:
-    app_name: ${hydra.job.name}
-    header: '${hydra.help.app_name} is powered by Hydra.
-
-      '
-    footer: 'Powered by Hydra (https://hydra.cc)
-
-      Use --hydra-help to view Hydra specific help
-
-      '
-    template: '${hydra.help.header}
-
-      == Configuration groups ==
-
-      Compose your configuration from those groups (group=option)
-
-
-      $APP_CONFIG_GROUPS
-
-
-      == Config ==
-
-      Override anything in the config (foo.bar=value)
-
-
-      $CONFIG
-
-
-      ${hydra.help.footer}
-
-      '
-  hydra_help:
-    template: 'Hydra (${hydra.runtime.version})
-
-      See https://hydra.cc for more info.
-
-
-      == Flags ==
-
-      $FLAGS_HELP
-
-
-      == Configuration groups ==
-
-      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
-      to command line)
-
-
-      $HYDRA_CONFIG_GROUPS
-
-
-      Use ''--cfg hydra'' to Show the Hydra config.
-
-      '
-    hydra_help: ???
-  hydra_logging:
-    version: 1
-    formatters:
-      simple:
-        format: '[%(asctime)s][HYDRA] %(message)s'
-    handlers:
-      console:
-        class: logging.StreamHandler
-        formatter: simple
-        stream: ext://sys.stdout
-    root:
-      level: INFO
-      handlers:
-      - console
-    loggers:
-      logging_example:
-        level: DEBUG
-    disable_existing_loggers: false
-  job_logging:
-    version: 1
-    formatters:
-      simple:
-        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
-    handlers:
-      console:
-        class: logging.StreamHandler
-        formatter: simple
-        stream: ext://sys.stdout
-      file:
-        class: logging.FileHandler
-        formatter: simple
-        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
-    root:
-      level: INFO
-      handlers:
-      - console
-      - file
-    disable_existing_loggers: false
-  env: {}
-  mode: RUN
-  searchpath: []
-  callbacks: {}
-  output_subdir: .hydra
-  overrides:
-    hydra:
-    - hydra.mode=RUN
-    task:
-    - host=gin
-    - experiment=p2p_fusion_building_ann
-    - run_type=release
-  job:
-    name: train
-    chdir: null
-    override_dirname: experiment=p2p_fusion_building_ann,host=gin,run_type=release
-    id: ???
-    num: ???
-    config_name: config
-    env_set: {}
-    env_copy: []
-    config:
-      override_dirname:
-        kv_sep: '='
-        item_sep: ','
-        exclude_keys: []
-  runtime:
-    version: 1.3.2
-    version_base: '1.3'
-    cwd: /run/netsop/u/home-sam/home/rsulzer/remote_python/pixelspointspolygons
-    config_sources:
-    - path: hydra.conf
-      schema: pkg
-      provider: hydra
-    - path: /run/netsop/u/home-sam/home/rsulzer/remote_python/pixelspointspolygons/config
-      schema: file
-      provider: main
-    - path: ''
-      schema: structured
-      provider: schema
-    output_dir: /data/rsulzer/PixelsPointsPolygons_output/pix2poly/224/building_fusion
-    choices:
-      evaluation: val
-      training: default
-      experiment: p2p_fusion_building_ann
-      model@experiment.model: pix2poly
-      encoder@experiment.encoder: early_fusion_vit
-      dataset: p3
-      run_type: release
-      host: gin
-      hydra/env: default
-      hydra/callbacks: null
-      hydra/job_logging: default
-      hydra/hydra_logging: default
-      hydra/hydra_help: default
-      hydra/help: default
-      hydra/sweeper: basic
-      hydra/launcher: basic
-      hydra/output: default
-  verbose: false

pix2poly/224/building_fusion/.hydra/overrides.yaml

@@ -1,3 +0,0 @@
-- host=gin
-- experiment=p2p_fusion_building_ann
-- run_type=release

pix2poly/224/dinov3/train.log

@@ -0,0 +1,18 @@
+[2025-10-28 16:51:35,089][dinov3][INFO] - using base=100 for rope new
+[2025-10-28 16:51:35,089][dinov3][INFO] - using min_period=None for rope new
+[2025-10-28 16:51:35,089][dinov3][INFO] - using max_period=None for rope new
+[2025-10-28 16:51:35,090][dinov3][INFO] - using normalize_coords=separate for rope new
+[2025-10-28 16:51:35,090][dinov3][INFO] - using shift_coords=None for rope new
+[2025-10-28 16:51:35,090][dinov3][INFO] - using rescale_coords=2 for rope new
+[2025-10-28 16:51:35,090][dinov3][INFO] - using jitter_coords=None for rope new
+[2025-10-28 16:51:35,090][dinov3][INFO] - using dtype=fp32 for rope new
+[2025-10-28 16:51:35,230][dinov3][INFO] - using swiglu layer as FFN
+[2025-10-28 16:52:42,472][dinov3][INFO] - using base=100 for rope new
+[2025-10-28 16:52:42,472][dinov3][INFO] - using min_period=None for rope new
+[2025-10-28 16:52:42,472][dinov3][INFO] - using max_period=None for rope new
+[2025-10-28 16:52:42,472][dinov3][INFO] - using normalize_coords=separate for rope new
+[2025-10-28 16:52:42,473][dinov3][INFO] - using shift_coords=None for rope new
+[2025-10-28 16:52:42,473][dinov3][INFO] - using rescale_coords=2 for rope new
+[2025-10-28 16:52:42,473][dinov3][INFO] - using jitter_coords=None for rope new
+[2025-10-28 16:52:42,473][dinov3][INFO] - using dtype=fp32 for rope new
+[2025-10-28 16:52:42,473][dinov3][INFO] - using swiglu layer as FFN

pix2poly/224/{building_fusion → image_bs2x16_dinov1}/checkpoints/best_val_iou.pth

@@ -1,3 +1,3 @@
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-size 415470378
+oid sha256:a661a0513520f75d12b9792b579836eb0c3fa816a8f936d58b137bdfacb06423
+size 383280061

pix2poly/224/{building_fusion → image_bs2x16_dinov1}/checkpoints/best_val_loss.pth

@@ -1,3 +1,3 @@
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-size 415471617
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+size 383281253

pix2poly/224/{building_fusion → image_bs2x16_dinov1}/checkpoints/latest.pth

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+size 383266637

pix2poly/224/{building_fusion → image_bs2x16_dinov1}/predictions_CH_val/best_val_iou.json

@@ -1,3 +1,3 @@
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+size 477006

pix2poly/224/image_bs2x16_dinov2/train.log

@@ -0,0 +1,5 @@
+[2025-10-29 10:10:55,531][dinov2][INFO] - using MLP layer as FFN
+[2025-10-29 10:10:55,531][dinov2][INFO] - using MLP layer as FFN
+[2025-10-29 12:00:32,426][dinov2][INFO] - using MLP layer as FFN
+[2025-10-29 12:00:32,426][dinov2][INFO] - using MLP layer as FFN
+[2025-10-29 12:01:58,754][dinov2][INFO] - using MLP layer as FFN

pix2poly/224/image_bs2x16_dinov3/checkpoints/best_val_iou.pth

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pix2poly/224/image_bs2x16_dinov3/checkpoints/best_val_loss.pth

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pix2poly/224/image_bs2x16_dinov3/checkpoints/latest.pth

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+size 465900459

pix2poly/224/image_bs2x16_dinov3/predictions_CH_val/best_val_iou.json

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+size 496870

pix2poly/224/image_bs2x16_dinov3/train.log

@@ -0,0 +1,29 @@
+[2025-10-28 19:25:49,851][dinov3][INFO] - using base=100 for rope new
+[2025-10-28 19:25:49,851][dinov3][INFO] - using min_period=None for rope new
+[2025-10-28 19:25:49,851][dinov3][INFO] - using max_period=None for rope new
+[2025-10-28 19:25:49,851][dinov3][INFO] - using normalize_coords=separate for rope new
+[2025-10-28 19:25:49,852][dinov3][INFO] - using shift_coords=None for rope new
+[2025-10-28 19:25:49,852][dinov3][INFO] - using rescale_coords=2 for rope new
+[2025-10-28 19:25:49,852][dinov3][INFO] - using jitter_coords=None for rope new
+[2025-10-28 19:25:49,852][dinov3][INFO] - using dtype=fp32 for rope new
+[2025-10-28 19:25:49,982][dinov3][INFO] - using swiglu layer as FFN
+[2025-10-28 20:08:50,729][dinov3][INFO] - using base=100 for rope new
+[2025-10-28 20:08:50,729][dinov3][INFO] - using base=100 for rope new
+[2025-10-28 20:08:50,729][dinov3][INFO] - using min_period=None for rope new
+[2025-10-28 20:08:50,729][dinov3][INFO] - using min_period=None for rope new
+[2025-10-28 20:08:50,729][dinov3][INFO] - using max_period=None for rope new
+[2025-10-28 20:08:50,729][dinov3][INFO] - using max_period=None for rope new
+[2025-10-28 20:08:50,729][dinov3][INFO] - using normalize_coords=separate for rope new
+[2025-10-28 20:08:50,729][dinov3][INFO] - using normalize_coords=separate for rope new
+[2025-10-28 20:08:50,729][dinov3][INFO] - using shift_coords=None for rope new
+[2025-10-28 20:08:50,729][dinov3][INFO] - using rescale_coords=2 for rope new
+[2025-10-28 20:08:50,729][dinov3][INFO] - using shift_coords=None for rope new
+[2025-10-28 20:08:50,729][dinov3][INFO] - using jitter_coords=None for rope new
+[2025-10-28 20:08:50,729][dinov3][INFO] - using rescale_coords=2 for rope new
+[2025-10-28 20:08:50,729][dinov3][INFO] - using dtype=fp32 for rope new
+[2025-10-28 20:08:50,729][dinov3][INFO] - using jitter_coords=None for rope new
+[2025-10-28 20:08:50,729][dinov3][INFO] - using dtype=fp32 for rope new
+[2025-10-28 20:08:50,776][dinov3][INFO] - using swiglu layer as FFN
+[2025-10-28 20:08:50,776][dinov3][INFO] - using swiglu layer as FFN
+[2025-10-29 13:00:05,929][dinov2][INFO] - using MLP layer as FFN
+[2025-10-29 13:00:05,932][dinov2][INFO] - using MLP layer as FFN

pix2poly/224/lidar_dinov3/checkpoints/best_val_loss.pth

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pix2poly/224/lidar_dinov3/checkpoints/latest.pth

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 size 462671871

pix2poly/224/lidar_pp_vit_bs2x16_mnv64/.hydra/config.yaml

@@ -1,125 +0,0 @@
-host:
-  name: gin
-  dataset_root: /data/rsulzer
-  model_root: /data/rsulzer
-  multi_gpu: false
-  device: cuda
-  update_pbar_every: 1
-  ldof_exe: /user/rsulzer/home/cpp/line-DOF-metric/build/calculate_DoF
-  dino_v2_repo: /user/rsulzer/home/remote_python/dinov2
-  dino_v3_repo: /user/rsulzer/home/remote_python/dinov3
-run_type:
-  name: release
-  batch_size: 16
-  train_subset: null
-  val_subset: null
-  test_subset: null
-  logging: INFO
-  num_workers: 16
-  log_to_wandb: true
-experiment:
-  dataset:
-    name: PixelsPointsPolygons
-    size: ${..encoder.in_size}
-    in_path: ${host.dataset_root}/${..dataset.name}_dataset/data/${.size}
-    out_path: ${host.model_root}/${..dataset.name}_output
-    annotation_type: blocks
-    country: CH
-    annotations:
-      train: ${..in_path}/annotations/${..annotation_type}/annotations_${..country}_train.json
-      val: ${..in_path}/annotations/${..annotation_type}/annotations_${..country}_val.json
-      test: ${..in_path}/annotations/${..annotation_type}/annotations_${..country}_test.json
-    ffl_stats:
-      train: ${..in_path}/ffl/train/stats-${..country}.pt
-      val: ${..in_path}/ffl/val/stats-${..country}.pt
-      test: ${..in_path}/ffl/test/stats-${..country}.pt
-    train_subset: ${...run_type.train_subset}
-    val_subset: ${...run_type.val_subset}
-    test_subset: ${...run_type.test_subset}
-  encoder:
-    name: pointpillars_vit
-    use_images: false
-    use_lidar: true
-    in_size: 224
-    in_height: ${.in_size}
-    in_width: ${.in_size}
-    in_voxel_size:
-      x: 8
-      'y': 8
-      z: 100
-    max_num_points_per_voxel: 64
-    max_num_voxels:
-      train: 784
-      test: 784
-    out_feature_width: 28
-    out_feature_height: 28
-    vit:
-      type: vit_small_patch${..patch_size}_${..in_size}.dino
-      checkpoint_file: ${...dataset.out_path}/backbones/dino_deitsmall8_pretrain.pth
-      pretrained: true
-    patch_size: 8
-    feature_map_size: 28
-    feature_map_height: ${.feature_map_size}
-    feature_map_width: ${.feature_map_size}
-    patch_feature_dim: 384
-    num_patches: 784
-    out_feature_dim: ${..model.decoder.in_feature_dim}
-    image_mean:
-    - 0.0
-    - 0.0
-    - 0.0
-    image_std:
-    - 1.0
-    - 1.0
-    - 1.0
-    image_max_pixel_value: 255.0
-    augmentations:
-    - D4
-    - ColorJitter
-    - GaussNoise
-    - Normalize
-  model:
-    name: pix2poly
-    decoder:
-      in_feature_size: ${...encoder.feature_map_size}
-      in_feature_width: ${.in_feature_size}
-      in_feature_height: ${.in_feature_size}
-      in_feature_dim: 256
-    tokenizer:
-      num_bins: ${...encoder.in_size}
-      shuffle_tokens: false
-      max_num_vertices: 192
-      max_len: null
-      pad_idx: null
-      generation_steps: null
-    shuffle_polygons: false
-    fusion: patch_concat
-    sinkhorn_iterations: 100
-    vertex_loss_weight: 1.0
-    perm_loss_weight: 10.0
-    batch_size: ${...run_type.batch_size}
-    start_epoch: 0
-    num_epochs: 200
-    learning_rate: 0.0003
-    weight_decay: 0.0001
-  name: lidar_pp_vit_bs2x16_mnv64
-  group_name: v2_${.model.name}
-  project_name: HiSup
-  lidar_dropout: null
-training:
-  save_best: true
-  save_latest: true
-  save_every: 10
-  val_every: 5
-  best_val_loss: 10000000.0
-  best_val_iou: 0.0
-evaluation:
-  split: val
-  pred_file: ${..output_dir}/predictions_${..experiment.dataset.country}_${.split}/${..checkpoint}.json
-  modes:
-  - iou
-  eval_file: results/metrics
-output_dir: ${.experiment.dataset.out_path}/${.experiment.model.name}/${.experiment.encoder.in_size}/${.experiment.name}
-checkpoint: best_val_iou
-num_workers: ${.run_type.num_workers}
-lidar_file: /data/rsulzer/luxcarta/Nimes/laz/LHD_FXX_0809_6305_PTS_LAMB93_IGN69.copc.laz

pix2poly/224/lidar_pp_vit_bs2x16_mnv64/.hydra/hydra.yaml

@@ -1,167 +0,0 @@
-hydra:
-  run:
-    dir: ${...output_dir}
-  sweep:
-    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
-    subdir: ${hydra.job.num}
-  launcher:
-    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
-  sweeper:
-    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
-    max_batch_size: null
-    params: null
-  help:
-    app_name: ${hydra.job.name}
-    header: '${hydra.help.app_name} is powered by Hydra.
-
-      '
-    footer: 'Powered by Hydra (https://hydra.cc)
-
-      Use --hydra-help to view Hydra specific help
-
-      '
-    template: '${hydra.help.header}
-
-      == Configuration groups ==
-
-      Compose your configuration from those groups (group=option)
-
-
-      $APP_CONFIG_GROUPS
-
-
-      == Config ==
-
-      Override anything in the config (foo.bar=value)
-
-
-      $CONFIG
-
-
-      ${hydra.help.footer}
-
-      '
-  hydra_help:
-    template: 'Hydra (${hydra.runtime.version})
-
-      See https://hydra.cc for more info.
-
-
-      == Flags ==
-
-      $FLAGS_HELP
-
-
-      == Configuration groups ==
-
-      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
-      to command line)
-
-
-      $HYDRA_CONFIG_GROUPS
-
-
-      Use ''--cfg hydra'' to Show the Hydra config.
-
-      '
-    hydra_help: ???
-  hydra_logging:
-    version: 1
-    formatters:
-      simple:
-        format: '[%(asctime)s][HYDRA] %(message)s'
-    handlers:
-      console:
-        class: logging.StreamHandler
-        formatter: simple
-        stream: ext://sys.stdout
-    root:
-      level: INFO
-      handlers:
-      - console
-    loggers:
-      logging_example:
-        level: DEBUG
-    disable_existing_loggers: false
-  job_logging:
-    version: 1
-    formatters:
-      simple:
-        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
-    handlers:
-      console:
-        class: logging.StreamHandler
-        formatter: simple
-        stream: ext://sys.stdout
-      file:
-        class: logging.FileHandler
-        formatter: simple
-        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
-    root:
-      level: INFO
-      handlers:
-      - console
-      - file
-    disable_existing_loggers: false
-  env: {}
-  mode: RUN
-  searchpath: []
-  callbacks: {}
-  output_subdir: .hydra
-  overrides:
-    hydra:
-    - hydra.mode=RUN
-    task:
-    - run_type=release
-    - host=gin
-    - checkpoint=best_val_iou
-    - experiment=p2p_lidar
-    - +lidar_file=/data/rsulzer/luxcarta/Nimes/laz/LHD_FXX_0809_6305_PTS_LAMB93_IGN69.copc.laz
-  job:
-    name: predict_geotile
-    chdir: null
-    override_dirname: +lidar_file=/data/rsulzer/luxcarta/Nimes/laz/LHD_FXX_0809_6305_PTS_LAMB93_IGN69.copc.laz,checkpoint=best_val_iou,experiment=p2p_lidar,host=gin,run_type=release
-    id: ???
-    num: ???
-    config_name: config
-    env_set: {}
-    env_copy: []
-    config:
-      override_dirname:
-        kv_sep: '='
-        item_sep: ','
-        exclude_keys: []
-  runtime:
-    version: 1.3.2
-    version_base: '1.3'
-    cwd: /run/netsop/u/home-sam/home/rsulzer/remote_python/pixelspointspolygons
-    config_sources:
-    - path: hydra.conf
-      schema: pkg
-      provider: hydra
-    - path: /run/netsop/u/home-sam/home/rsulzer/remote_python/pixelspointspolygons/config
-      schema: file
-      provider: main
-    - path: ''
-      schema: structured
-      provider: schema
-    output_dir: /data/rsulzer/PixelsPointsPolygons_output/pix2poly/224/lidar_pp_vit_bs2x16_mnv64
-    choices:
-      evaluation: val
-      training: default
-      experiment: p2p_lidar
-      model@experiment.model: pix2poly
-      encoder@experiment.encoder: pointpillars_vit
-      dataset@experiment.dataset: p3
-      run_type: release
-      host: gin
-      hydra/env: default
-      hydra/callbacks: null
-      hydra/job_logging: default
-      hydra/hydra_logging: default
-      hydra/hydra_help: default
-      hydra/help: default
-      hydra/sweeper: basic
-      hydra/launcher: basic
-      hydra/output: default
-  verbose: false

pix2poly/224/lidar_pp_vit_bs2x16_mnv64/.hydra/overrides.yaml

@@ -1,5 +0,0 @@
-- run_type=release
-- host=gin
-- checkpoint=best_val_iou
-- experiment=p2p_lidar
-- +lidar_file=/data/rsulzer/luxcarta/Nimes/laz/LHD_FXX_0809_6305_PTS_LAMB93_IGN69.copc.laz