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ffl/224/v0_all_bs4x16/.hydra/config.yaml

@@ -0,0 +1,251 @@
+host:
+  name: jeanzay
+  data_root: /lustre/fswork/projects/rech/cso/uku93eu/data
+  update_pbar_every: 60
+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
+polygonization:
+  method:
+  - acm
+  common_params:
+    init_data_level: 0.5
+  simple_method:
+    data_level: 0.5
+    tolerance:
+    - 1.0
+    seg_threshold: 0.5
+    min_area: 10
+  asm_method:
+    init_method: skeleton
+    data_level: 0.5
+    loss_params:
+      coefs:
+        step_thresholds:
+        - 0
+        - 100
+        - 200
+        - 300
+        data:
+        - 1.0
+        - 0.1
+        - 0.0
+        - 0.0
+        crossfield:
+        - 0.0
+        - 0.05
+        - 0.0
+        - 0.0
+        length:
+        - 0.1
+        - 0.01
+        - 0.0
+        - 0.0
+        curvature:
+        - 0.0
+        - 0.0
+        - 1.0
+        - 0.0
+        corner:
+        - 0.0
+        - 0.0
+        - 0.5
+        - 0.0
+        junction:
+        - 0.0
+        - 0.0
+        - 0.5
+        - 0.0
+      curvature_dissimilarity_threshold: 2
+      corner_angles:
+      - 45
+      - 90
+      - 135
+      corner_angle_threshold: 22.5
+      junction_angles:
+      - 0
+      - 45
+      - 90
+      - 135
+      junction_angle_weights:
+      - 1
+      - 0.01
+      - 0.1
+      - 0.01
+      junction_angle_threshold: 22.5
+    lr: 0.1
+    gamma: 0.995
+    device: cuda
+    tolerance:
+    - 1
+    seg_threshold: 0.5
+    min_area: 10
+  acm_method:
+    steps: 500
+    data_level: 0.5
+    data_coef: 0.1
+    length_coef: 0.4
+    crossfield_coef: 0.5
+    poly_lr: 0.01
+    warmup_iters: 100
+    warmup_factor: 0.1
+    device: cuda
+    tolerance:
+    - 1
+    seg_threshold: 0.5
+    min_area: 10
+dataset:
+  name: lidarpoly
+  size: ${..experiment.encoder.in_size}
+  path: ${host.data_root}/${.name}/${.size}
+  annotations:
+    train: ${..path}/annotations_${...country}_train.json
+    val: ${..path}/annotations_${...country}_val.json
+    test: ${..path}/annotations_${...country}_test.json
+  ffl_stats:
+    train: ${..path}/ffl/train/stats-${...country}.pt
+    val: ${..path}/ffl/val/stats-${...country}.pt
+    test: ${..path}/ffl/test/stats-${...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_cnn
+    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_size: ${..model.decoder.in_feature_size}
+    out_feature_height: ${.out_feature_size}
+    out_feature_width: ${.out_feature_size}
+    out_feature_dim: ${..model.decoder.in_feature_dim}
+    vit:
+      type: vit_small_patch${..patch_size}_${..in_size}.dino
+      checkpoint_file: ${....host.data_root}/checkpoints/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
+    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
+    max_points_per_voxel: 64
+  model:
+    name: ffl
+    compute_seg: true
+    compute_crossfield: true
+    seg:
+      compute_interior: true
+      compute_edge: false
+      compute_vertex: false
+    decoder:
+      in_feature_size: ${...encoder.in_size}
+      in_feature_width: ${.in_feature_size}
+      in_feature_height: ${.in_feature_size}
+      in_feature_dim: ${if:${eq:${.in_feature_size},512}, 32, 256}
+    point_pillars:
+      out_channels:
+      - ${...decoder.in_feature_dim}
+      - ${...decoder.in_feature_dim}
+      - ${...decoder.in_feature_dim}]
+      upsample_strides:
+      - 4
+      - 8
+      - 16
+    loss:
+      multi:
+        epoch_thresholds:
+        - 0
+        - 5
+        - 10
+        weights:
+          seg: 1
+          crossfield_align: 1
+          crossfield_align90: 0.5
+          crossfield_smooth: 0.005
+          seg_interior_crossfield:
+          - 0
+          - 0
+          - 0.2
+          seg_edge_crossfield:
+          - 0
+          - 0
+          - 0.2
+          seg_edge_interior:
+          - 0
+          - 0
+          - 0.2
+      seg:
+        bce_coef: 1.0
+        dice_coef: 0.2
+        use_freq: false
+        use_dist: false
+        use_size: false
+        w0: 50
+        sigma: 10
+        type: bool
+    batch_size: ${...run_type.batch_size}
+    start_epoch: 0
+    num_epochs: 200
+    milestone: 0
+    learning_rate: 0.0001
+    weight_decay: 0.0
+    gamma: 0.95
+    eval:
+      patch_size: null
+      patch_overlap: 200
+      seg_threshold: 0.5
+  name: v0_all_bs4x16
+  group_name: v2_${.model.name}
+output_dir: ${.host.data_root}/${.experiment.model.name}_outputs/${.dataset.name}/${.experiment.encoder.in_size}/${.experiment.name}
+checkpoint: latest
+checkpoint_file: null
+save_best: true
+save_latest: true
+save_every: 10
+val_every: 1
+best_val_loss: 10000000.0
+best_val_iou: 0.0
+multi_gpu: true
+device: cuda
+log_to_wandb: true
+num_workers: ${.run_type.num_workers}
+update_pbar_every: ${.host.update_pbar_every}
+country: all
+use_lidar: ${.experiment.encoder.use_lidar}
+use_images: ${.experiment.encoder.use_images}
+eval:
+  split: val
+  pred_file: ${..output_dir}/predictions_${..country}_${.split}/${..checkpoint}.json
+  modes:
+  - iou
+  eval_file: results/metrics

ffl/224/v0_all_bs4x16/.hydra/hydra.yaml

@@ -0,0 +1,169 @@
+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:
+    - log_to_wandb=true
+    - host=jz
+    - run_type=release
+    - multi_gpu=true
+    - checkpoint=latest
+    - experiment=ffl_fusion
+    - experiment.name=v0_all_bs4x16
+    - country=all
+  job:
+    name: train
+    chdir: null
+    override_dirname: checkpoint=latest,country=all,experiment.name=v0_all_bs4x16,experiment=ffl_fusion,host=jz,log_to_wandb=true,multi_gpu=true,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: /lustre/fswork/projects/rech/cso/uku93eu/python/PixelsPointsPolygons
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /lustre/fswork/projects/rech/cso/uku93eu/python/PixelsPointsPolygons/config
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /lustre/fswork/projects/rech/cso/uku93eu/data/ffl_outputs/lidarpoly/224/v0_all_bs4x16
+    choices:
+      experiment: ffl_fusion
+      [email protected]: ffl
+      [email protected]: early_fusion_vit_cnn
+      dataset: lidarpoly
+      polygonization: asm_acm
+      run_type: release
+      host: jz
+      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

ffl/224/v0_all_bs4x16/.hydra/overrides.yaml

@@ -0,0 +1,8 @@
+- log_to_wandb=true
+- host=jz
+- run_type=release
+- multi_gpu=true
+- checkpoint=latest
+- experiment=ffl_fusion
+- experiment.name=v0_all_bs4x16
+- country=all

ffl/224/v0_all_bs4x16/predictions/best_val_iou.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e7ad2fabae69d80b301d7915e30504ec824b8c8a9cc86ca4fcf294d02a16e49c
+size 1063718

ffl/224/v0_all_bs4x16/predictions_all_test/acm.tol_1/best_val_iou.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:98821b1ab587eafdf3d472275776bf28b9132c4cb8a92186a479a254eb30cb2e
+size 22985950

ffl/224/v0_all_bs4x16/predictions_all_test/best_val_iou.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:98821b1ab587eafdf3d472275776bf28b9132c4cb8a92186a479a254eb30cb2e
+size 22985950

ffl/224/v4_fusion_bs4x16_mnv64/.hydra/config.yaml

@@ -0,0 +1,256 @@
+host:
+  name: gin
+  data_root: /data/rsulzer
+  update_pbar_every: 1
+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
+polygonization:
+  method:
+  - acm
+  common_params:
+    init_data_level: 0.5
+  simple_method:
+    data_level: 0.5
+    tolerance:
+    - 1.0
+    seg_threshold: 0.5
+    min_area: 10
+  asm_method:
+    init_method: skeleton
+    data_level: 0.5
+    loss_params:
+      coefs:
+        step_thresholds:
+        - 0
+        - 100
+        - 200
+        - 300
+        data:
+        - 1.0
+        - 0.1
+        - 0.0
+        - 0.0
+        crossfield:
+        - 0.0
+        - 0.05
+        - 0.0
+        - 0.0
+        length:
+        - 0.1
+        - 0.01
+        - 0.0
+        - 0.0
+        curvature:
+        - 0.0
+        - 0.0
+        - 1.0
+        - 0.0
+        corner:
+        - 0.0
+        - 0.0
+        - 0.5
+        - 0.0
+        junction:
+        - 0.0
+        - 0.0
+        - 0.5
+        - 0.0
+      curvature_dissimilarity_threshold: 2
+      corner_angles:
+      - 45
+      - 90
+      - 135
+      corner_angle_threshold: 22.5
+      junction_angles:
+      - 0
+      - 45
+      - 90
+      - 135
+      junction_angle_weights:
+      - 1
+      - 0.01
+      - 0.1
+      - 0.01
+      junction_angle_threshold: 22.5
+    lr: 0.1
+    gamma: 0.995
+    device: cuda
+    tolerance:
+    - 1
+    seg_threshold: 0.5
+    min_area: 10
+  acm_method:
+    steps: 500
+    data_level: 0.5
+    data_coef: 0.1
+    length_coef: 0.4
+    crossfield_coef: 0.5
+    poly_lr: 0.01
+    warmup_iters: 100
+    warmup_factor: 0.1
+    device: cuda
+    tolerance:
+    - 1
+    seg_threshold: 0.5
+    min_area: 10
+dataset:
+  name: p3
+  size: ${..experiment.encoder.in_size}
+  path: ${host.data_root}/PixelsPointsPolygons/data/${.size}
+  annotations:
+    train: ${..path}/annotations_${...country}_train.json
+    val: ${..path}/annotations_${...country}_val.json
+    test: ${..path}/annotations_${...country}_test.json
+  ffl_stats:
+    train: ${..path}/ffl/train/stats-${...country}.pt
+    val: ${..path}/ffl/val/stats-${...country}.pt
+    test: ${..path}/ffl/test/stats-${...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_cnn
+    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_size: ${..model.decoder.in_feature_size}
+    out_feature_height: ${.out_feature_size}
+    out_feature_width: ${.out_feature_size}
+    out_feature_dim: ${..model.decoder.in_feature_dim}
+    vit:
+      type: vit_small_patch${..patch_size}_${..in_size}.dino
+      checkpoint_file: ${....host.data_root}/checkpoints/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
+    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
+    max_points_per_voxel: 64
+  model:
+    name: ffl
+    compute_seg: true
+    compute_crossfield: true
+    seg:
+      compute_interior: true
+      compute_edge: false
+      compute_vertex: false
+    decoder:
+      in_feature_size: ${...encoder.in_size}
+      in_feature_width: ${.in_feature_size}
+      in_feature_height: ${.in_feature_size}
+      in_feature_dim: ${if:${eq:${.in_feature_size},512}, 32, 256}
+    point_pillars:
+      out_channels:
+      - ${...decoder.in_feature_dim}
+      - ${...decoder.in_feature_dim}
+      - ${...decoder.in_feature_dim}]
+      upsample_strides:
+      - 4
+      - 8
+      - 16
+    loss:
+      multi:
+        epoch_thresholds:
+        - 0
+        - 5
+        - 10
+        weights:
+          seg: 1
+          crossfield_align: 1
+          crossfield_align90: 0.5
+          crossfield_smooth: 0.005
+          seg_interior_crossfield:
+          - 0
+          - 0
+          - 0.2
+          seg_edge_crossfield:
+          - 0
+          - 0
+          - 0.2
+          seg_edge_interior:
+          - 0
+          - 0
+          - 0.2
+      seg:
+        bce_coef: 1.0
+        dice_coef: 0.2
+        use_freq: false
+        use_dist: false
+        use_size: false
+        w0: 50
+        sigma: 10
+        type: bool
+    batch_size: ${...run_type.batch_size}
+    start_epoch: 0
+    num_epochs: 200
+    milestone: 0
+    learning_rate: 0.0001
+    weight_decay: 0.0
+    gamma: 0.95
+    eval:
+      patch_size: null
+      patch_overlap: 200
+      seg_threshold: 0.5
+  name: v4_fusion_bs4x16_mnv64
+  group_name: v2_${.model.name}
+output_dir: ${.host.data_root}/${.experiment.model.name}_outputs/${.dataset.name}/${.experiment.encoder.in_size}/${.experiment.name}
+checkpoint: best_val_iou
+checkpoint_file: null
+save_best: true
+save_latest: true
+save_every: 10
+val_every: 1
+best_val_loss: 10000000.0
+best_val_iou: 0.0
+multi_gpu: false
+device: cuda
+log_to_wandb: false
+num_workers: ${.run_type.num_workers}
+update_pbar_every: ${.host.update_pbar_every}
+country: Switzerland
+use_lidar: ${.experiment.encoder.use_lidar}
+use_images: ${.experiment.encoder.use_images}
+eval:
+  split: val
+  pred_file: ${..output_dir}/predictions_${..country}_${.split}/${..checkpoint}.json
+  modes:
+  - ldof
+  - coco
+  - iou
+  - polis
+  - mta
+  eval_file: results/metrics
+  ldof_exe: /user/rsulzer/home/cpp/line-DOF-metric/build/calculate_DoF

ffl/224/v4_fusion_bs4x16_mnv64/.hydra/hydra.yaml

@@ -0,0 +1,170 @@
+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
+    - device=cuda
+    - log_to_wandb=false
+    - multi_gpu=false
+    - checkpoint=best_val_iou
+    - country=Switzerland
+    - eval.split=val
+    - experiment.name=v4_fusion_bs4x16_mnv64
+  job:
+    name: predict
+    chdir: null
+    override_dirname: checkpoint=best_val_iou,country=Switzerland,device=cuda,eval.split=val,experiment.name=v4_fusion_bs4x16_mnv64,host=gin,log_to_wandb=false,multi_gpu=false,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/ffl_outputs/p3/224/v4_fusion_bs4x16_mnv64
+    choices:
+      experiment: ffl_fusion
+      [email protected]: ffl
+      [email protected]: early_fusion_vit_cnn
+      dataset: p3
+      polygonization: asm_acm
+      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

ffl/224/v4_fusion_bs4x16_mnv64/.hydra/overrides.yaml

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+- host=gin
+- device=cuda
+- log_to_wandb=false
+- multi_gpu=false
+- checkpoint=best_val_iou
+- country=Switzerland
+- eval.split=val
+- experiment.name=v4_fusion_bs4x16_mnv64

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ffl/224/v4_image_bs4x16/.hydra/config.yaml

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+host:
+  name: gin
+  data_root: /data/rsulzer
+  update_pbar_every: 1
+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
+polygonization:
+  method:
+  - acm
+  common_params:
+    init_data_level: 0.5
+  simple_method:
+    data_level: 0.5
+    tolerance:
+    - 1.0
+    seg_threshold: 0.5
+    min_area: 10
+  asm_method:
+    init_method: skeleton
+    data_level: 0.5
+    loss_params:
+      coefs:
+        step_thresholds:
+        - 0
+        - 100
+        - 200
+        - 300
+        data:
+        - 1.0
+        - 0.1
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+        - 0.0
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+        - 0.0
+        - 0.5
+        - 0.0
+        junction:
+        - 0.0
+        - 0.0
+        - 0.5
+        - 0.0
+      curvature_dissimilarity_threshold: 2
+      corner_angles:
+      - 45
+      - 90
+      - 135
+      corner_angle_threshold: 22.5
+      junction_angles:
+      - 0
+      - 45
+      - 90
+      - 135
+      junction_angle_weights:
+      - 1
+      - 0.01
+      - 0.1
+      - 0.01
+      junction_angle_threshold: 22.5
+    lr: 0.1
+    gamma: 0.995
+    device: cuda
+    tolerance:
+    - 1
+    seg_threshold: 0.5
+    min_area: 10
+  acm_method:
+    steps: 500
+    data_level: 0.5
+    data_coef: 0.1
+    length_coef: 0.4
+    crossfield_coef: 0.5
+    poly_lr: 0.01
+    warmup_iters: 100
+    warmup_factor: 0.1
+    device: cuda
+    tolerance:
+    - 1
+    seg_threshold: 0.5
+    min_area: 10
+dataset:
+  name: p3
+  size: ${..experiment.encoder.in_size}
+  path: ${host.data_root}/PixelsPointsPolygons/data/${.size}
+  annotations:
+    train: ${..path}/annotations_${...country}_train.json
+    val: ${..path}/annotations_${...country}_val.json
+    test: ${..path}/annotations_${...country}_test.json
+  ffl_stats:
+    train: ${..path}/ffl/train/stats-${...country}.pt
+    val: ${..path}/ffl/val/stats-${...country}.pt
+    test: ${..path}/ffl/test/stats-${...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_cnn
+    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_size: ${..model.decoder.in_feature_size}
+    out_feature_height: ${.out_feature_size}
+    out_feature_width: ${.out_feature_size}
+    out_feature_dim: ${..model.decoder.in_feature_dim}
+    vit:
+      type: vit_small_patch${..patch_size}_${..in_size}.dino
+      checkpoint_file: ${....host.data_root}/checkpoints/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
+    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
+    max_points_per_voxel: 64
+  model:
+    name: ffl
+    compute_seg: true
+    compute_crossfield: true
+    seg:
+      compute_interior: true
+      compute_edge: false
+      compute_vertex: false
+    decoder:
+      in_feature_size: ${...encoder.in_size}
+      in_feature_width: ${.in_feature_size}
+      in_feature_height: ${.in_feature_size}
+      in_feature_dim: ${if:${eq:${.in_feature_size},512}, 32, 256}
+    point_pillars:
+      out_channels:
+      - ${...decoder.in_feature_dim}
+      - ${...decoder.in_feature_dim}
+      - ${...decoder.in_feature_dim}]
+      upsample_strides:
+      - 4
+      - 8
+      - 16
+    loss:
+      multi:
+        epoch_thresholds:
+        - 0
+        - 5
+        - 10
+        weights:
+          seg: 1
+          crossfield_align: 1
+          crossfield_align90: 0.5
+          crossfield_smooth: 0.005
+          seg_interior_crossfield:
+          - 0
+          - 0
+          - 0.2
+          seg_edge_crossfield:
+          - 0
+          - 0
+          - 0.2
+          seg_edge_interior:
+          - 0
+          - 0
+          - 0.2
+      seg:
+        bce_coef: 1.0
+        dice_coef: 0.2
+        use_freq: false
+        use_dist: false
+        use_size: false
+        w0: 50
+        sigma: 10
+        type: bool
+    batch_size: ${...run_type.batch_size}
+    start_epoch: 0
+    num_epochs: 200
+    milestone: 0
+    learning_rate: 0.0001
+    weight_decay: 0.0
+    gamma: 0.95
+    eval:
+      patch_size: null
+      patch_overlap: 200
+      seg_threshold: 0.5
+  name: v4_image_bs4x16
+  group_name: v2_${.model.name}
+output_dir: ${.host.data_root}/${.experiment.model.name}_outputs/${.dataset.name}/${.experiment.encoder.in_size}/${.experiment.name}
+checkpoint: best_val_iou
+checkpoint_file: null
+save_best: true
+save_latest: true
+save_every: 10
+val_every: 1
+best_val_loss: 10000000.0
+best_val_iou: 0.0
+multi_gpu: false
+device: cuda
+log_to_wandb: false
+num_workers: ${.run_type.num_workers}
+update_pbar_every: ${.host.update_pbar_every}
+country: Switzerland
+use_lidar: ${.experiment.encoder.use_lidar}
+use_images: ${.experiment.encoder.use_images}
+eval:
+  split: val
+  pred_file: ${..output_dir}/predictions_${..country}_${.split}/${..checkpoint}.json
+  modes:
+  - ldof
+  - coco
+  - iou
+  - polis
+  - mta
+  eval_file: results/metrics
+  ldof_exe: /user/rsulzer/home/cpp/line-DOF-metric/build/calculate_DoF

ffl/224/v4_image_bs4x16/.hydra/hydra.yaml

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+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
+    - device=cuda
+    - log_to_wandb=false
+    - multi_gpu=false
+    - checkpoint=best_val_iou
+    - country=Switzerland
+    - eval.split=val
+    - experiment.name=v4_image_bs4x16
+  job:
+    name: predict
+    chdir: null
+    override_dirname: checkpoint=best_val_iou,country=Switzerland,device=cuda,eval.split=val,experiment.name=v4_image_bs4x16,host=gin,log_to_wandb=false,multi_gpu=false,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/ffl_outputs/p3/224/v4_image_bs4x16
+    choices:
+      experiment: ffl_fusion
+      [email protected]: ffl
+      [email protected]: early_fusion_vit_cnn
+      dataset: p3
+      polygonization: asm_acm
+      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

ffl/224/v4_image_bs4x16/.hydra/overrides.yaml

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+- run_type=release
+- host=gin
+- device=cuda
+- log_to_wandb=false
+- multi_gpu=false
+- checkpoint=best_val_iou
+- country=Switzerland
+- eval.split=val
+- experiment.name=v4_image_bs4x16

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+  name: g5k
+  data_root: /home/rsulzer/data
+  update_pbar_every: 60
+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
+polygonization:
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+  simple_method:
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+    tolerance:
+    - 1.0
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+    min_area: 10
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+    data_level: 0.5
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+      - 90
+      - 135
+      corner_angle_threshold: 22.5
+      junction_angles:
+      - 0
+      - 45
+      - 90
+      - 135
+      junction_angle_weights:
+      - 1
+      - 0.01
+      - 0.1
+      - 0.01
+      junction_angle_threshold: 22.5
+    lr: 0.1
+    gamma: 0.995
+    device: cuda
+    tolerance:
+    - 1
+    seg_threshold: 0.5
+    min_area: 10
+  acm_method:
+    steps: 500
+    data_level: 0.5
+    data_coef: 0.1
+    length_coef: 0.4
+    crossfield_coef: 0.5
+    poly_lr: 0.01
+    warmup_iters: 100
+    warmup_factor: 0.1
+    device: cuda
+    tolerance:
+    - 1
+    seg_threshold: 0.5
+    min_area: 10
+dataset:
+  name: lidarpoly
+  size: ${..experiment.encoder.in_size}
+  path: ${host.data_root}/${.name}/${.size}
+  annotations:
+    train: ${..path}/annotations_${...country}_train.json
+    val: ${..path}/annotations_${...country}_val.json
+    test: ${..path}/annotations_${...country}_test.json
+  train_subset: ${..run_type.train_subset}
+  val_subset: ${..run_type.val_subset}
+  test_subset: ${..run_type.test_subset}
+  augmentations:
+  - D4
+experiment:
+  encoder:
+    name: pointpillars_vit_cnn
+    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: 128
+    max_num_voxels:
+      train: 784
+      test: 784
+    out_feature_size: ${..model.decoder.in_feature_size}
+    out_feature_height: ${.out_feature_size}
+    out_feature_width: ${.out_feature_size}
+    out_feature_dim: ${..model.decoder.in_feature_dim}
+    vit:
+      type: vit_small_patch${..patch_size}_${..in_size}.dino
+      checkpoint_file: ${....host.data_root}/checkpoints/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
+    augmentations:
+    - D4
+  model:
+    name: ffl
+    compute_seg: true
+    compute_crossfield: true
+    seg:
+      compute_interior: true
+      compute_edge: false
+      compute_vertex: false
+    decoder:
+      in_feature_size: ${...encoder.in_size}
+      in_feature_width: ${.in_feature_size}
+      in_feature_height: ${.in_feature_size}
+      in_feature_dim: ${if:${eq:${.in_feature_size},512}, 32, 256}
+    point_pillars:
+      out_channels:
+      - ${...decoder.in_feature_dim}
+      - ${...decoder.in_feature_dim}
+      - ${...decoder.in_feature_dim}]
+      upsample_strides:
+      - 4
+      - 8
+      - 16
+    loss:
+      multi:
+        epoch_thresholds:
+        - 0
+        - 5
+        - 10
+        weights:
+          seg: 1
+          crossfield_align: 1
+          crossfield_align90: 0.5
+          crossfield_smooth: 0.005
+          seg_interior_crossfield:
+          - 0
+          - 0
+          - 0.2
+          seg_edge_crossfield:
+          - 0
+          - 0
+          - 0.2
+          seg_edge_interior:
+          - 0
+          - 0
+          - 0.2
+      seg:
+        bce_coef: 1.0
+        dice_coef: 0.2
+        use_freq: false
+        use_dist: false
+        use_size: false
+        w0: 50
+        sigma: 10
+        type: bool
+    batch_size: ${...run_type.batch_size}
+    start_epoch: 0
+    num_epochs: 200
+    milestone: 0
+    learning_rate: 0.0001
+    weight_decay: 0.0
+    gamma: 0.95
+    eval:
+      patch_size: null
+      patch_overlap: 200
+      seg_threshold: 0.5
+  name: v5_lidar_bs2x16_mnv128
+  group_name: v2_${.model.name}
+output_dir: ${.host.data_root}/${.experiment.model.name}_outputs/${.dataset.name}/${.experiment.encoder.in_size}/${.experiment.name}
+checkpoint: null
+checkpoint_file: null
+save_best: true
+save_latest: true
+save_every: 10
+val_every: 1
+best_val_loss: 10000000.0
+best_val_iou: 0.0
+multi_gpu: true
+device: cuda
+log_to_wandb: true
+num_workers: ${.run_type.num_workers}
+update_pbar_every: ${.host.update_pbar_every}
+country: Switzerland
+use_lidar: ${.experiment.encoder.use_lidar}
+use_images: ${.experiment.encoder.use_images}
+eval:
+  split: val
+  pred_file: ${..output_dir}/predictions/${..checkpoint}.json
+  modes:
+  - iou
+  eval_file: results/metrics

ffl/224/v5_lidar_bs2x16_mnv128/.hydra/hydra.yaml

@@ -0,0 +1,167 @@
+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:
+    - log_to_wandb=true
+    - host=g5k
+    - run_type=release
+    - multi_gpu=true
+    - checkpoint=null
+    - experiment=lidar_density_ablation128
+  job:
+    name: train
+    chdir: null
+    override_dirname: checkpoint=null,experiment=lidar_density_ablation128,host=g5k,log_to_wandb=true,multi_gpu=true,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: /home/rsulzer/python/PixelsPointsPolygons
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/rsulzer/python/PixelsPointsPolygons/config
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/rsulzer/data/ffl_outputs/lidarpoly/224/v5_lidar_bs2x16_mnv128
+    choices:
+      experiment: lidar_density_ablation128
+      [email protected]: ffl
+      [email protected]: pointpillars_vit_cnn
+      dataset: lidarpoly
+      polygonization: asm_acm
+      run_type: release
+      host: g5k
+      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

ffl/224/v5_lidar_bs2x16_mnv128/.hydra/overrides.yaml

@@ -0,0 +1,6 @@
+- log_to_wandb=true
+- host=g5k
+- run_type=release
+- multi_gpu=true
+- checkpoint=null
+- experiment=lidar_density_ablation128

ffl/224/v5_lidar_bs2x16_mnv128/checkpoints/best_val_iou.pth

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+oid sha256:eac23a8870aa4de5b1a7a635fd1fcb74b13c88ffb56738a1fd2a7d84428c54dd
+size 284579947

ffl/224/v5_lidar_bs2x16_mnv128/predictions/best_val_iou.json

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+oid sha256:f60fdf7ddacf15b38ac002b7294f306c1a589bb6a145163d0b041358a5fad517
+size 432778

ffl/224/v5_lidar_bs2x16_mnv128/predictions_Switzerland_test/acm.tol_1/best_val_iou.json

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+oid sha256:050c7fb16c3a8a96def36b00256d70a428a4ea118e4dfce997e34ae76fc516bb
+size 5998847

ffl/224/v5_lidar_bs2x16_mnv128/predictions_Switzerland_test/best_val_iou.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:050c7fb16c3a8a96def36b00256d70a428a4ea118e4dfce997e34ae76fc516bb
+size 5998847

ffl/224/v5_lidar_bs2x16_mnv16/.hydra/config.yaml

@@ -0,0 +1,236 @@
+host:
+  name: g5k
+  data_root: /home/rsulzer/data
+  update_pbar_every: 60
+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
+polygonization:
+  method:
+  - acm
+  common_params:
+    init_data_level: 0.5
+  simple_method:
+    data_level: 0.5
+    tolerance:
+    - 1.0
+    seg_threshold: 0.5
+    min_area: 10
+  asm_method:
+    init_method: skeleton
+    data_level: 0.5
+    loss_params:
+      coefs:
+        step_thresholds:
+        - 0
+        - 100
+        - 200
+        - 300
+        data:
+        - 1.0
+        - 0.1
+        - 0.0
+        - 0.0
+        crossfield:
+        - 0.0
+        - 0.05
+        - 0.0
+        - 0.0
+        length:
+        - 0.1
+        - 0.01
+        - 0.0
+        - 0.0
+        curvature:
+        - 0.0
+        - 0.0
+        - 1.0
+        - 0.0
+        corner:
+        - 0.0
+        - 0.0
+        - 0.5
+        - 0.0
+        junction:
+        - 0.0
+        - 0.0
+        - 0.5
+        - 0.0
+      curvature_dissimilarity_threshold: 2
+      corner_angles:
+      - 45
+      - 90
+      - 135
+      corner_angle_threshold: 22.5
+      junction_angles:
+      - 0
+      - 45
+      - 90
+      - 135
+      junction_angle_weights:
+      - 1
+      - 0.01
+      - 0.1
+      - 0.01
+      junction_angle_threshold: 22.5
+    lr: 0.1
+    gamma: 0.995
+    device: cuda
+    tolerance:
+    - 1
+    seg_threshold: 0.5
+    min_area: 10
+  acm_method:
+    steps: 500
+    data_level: 0.5
+    data_coef: 0.1
+    length_coef: 0.4
+    crossfield_coef: 0.5
+    poly_lr: 0.01
+    warmup_iters: 100
+    warmup_factor: 0.1
+    device: cuda
+    tolerance:
+    - 1
+    seg_threshold: 0.5
+    min_area: 10
+dataset:
+  name: lidarpoly
+  size: ${..experiment.encoder.in_size}
+  path: ${host.data_root}/${.name}/${.size}
+  annotations:
+    train: ${..path}/annotations_${...country}_train.json
+    val: ${..path}/annotations_${...country}_val.json
+    test: ${..path}/annotations_${...country}_test.json
+  train_subset: ${..run_type.train_subset}
+  val_subset: ${..run_type.val_subset}
+  test_subset: ${..run_type.test_subset}
+  augmentations:
+  - D4
+experiment:
+  encoder:
+    name: pointpillars_vit_cnn
+    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: 16
+    max_num_voxels:
+      train: 784
+      test: 784
+    out_feature_size: ${..model.decoder.in_feature_size}
+    out_feature_height: ${.out_feature_size}
+    out_feature_width: ${.out_feature_size}
+    out_feature_dim: ${..model.decoder.in_feature_dim}
+    vit:
+      type: vit_small_patch${..patch_size}_${..in_size}.dino
+      checkpoint_file: ${....host.data_root}/checkpoints/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
+    augmentations:
+    - D4
+  model:
+    name: ffl
+    compute_seg: true
+    compute_crossfield: true
+    seg:
+      compute_interior: true
+      compute_edge: false
+      compute_vertex: false
+    decoder:
+      in_feature_size: ${...encoder.in_size}
+      in_feature_width: ${.in_feature_size}
+      in_feature_height: ${.in_feature_size}
+      in_feature_dim: ${if:${eq:${.in_feature_size},512}, 32, 256}
+    point_pillars:
+      out_channels:
+      - ${...decoder.in_feature_dim}
+      - ${...decoder.in_feature_dim}
+      - ${...decoder.in_feature_dim}]
+      upsample_strides:
+      - 4
+      - 8
+      - 16
+    loss:
+      multi:
+        epoch_thresholds:
+        - 0
+        - 5
+        - 10
+        weights:
+          seg: 1
+          crossfield_align: 1
+          crossfield_align90: 0.5
+          crossfield_smooth: 0.005
+          seg_interior_crossfield:
+          - 0
+          - 0
+          - 0.2
+          seg_edge_crossfield:
+          - 0
+          - 0
+          - 0.2
+          seg_edge_interior:
+          - 0
+          - 0
+          - 0.2
+      seg:
+        bce_coef: 1.0
+        dice_coef: 0.2
+        use_freq: false
+        use_dist: false
+        use_size: false
+        w0: 50
+        sigma: 10
+        type: bool
+    batch_size: ${...run_type.batch_size}
+    start_epoch: 0
+    num_epochs: 200
+    milestone: 0
+    learning_rate: 0.0001
+    weight_decay: 0.0
+    gamma: 0.95
+    eval:
+      patch_size: null
+      patch_overlap: 200
+      seg_threshold: 0.5
+  name: v5_lidar_bs2x16_mnv16
+  group_name: v2_${.model.name}
+output_dir: ${.host.data_root}/${.experiment.model.name}_outputs/${.dataset.name}/${.experiment.encoder.in_size}/${.experiment.name}
+checkpoint: null
+checkpoint_file: null
+save_best: true
+save_latest: true
+save_every: 10
+val_every: 1
+best_val_loss: 10000000.0
+best_val_iou: 0.0
+multi_gpu: true
+device: cuda
+log_to_wandb: true
+num_workers: ${.run_type.num_workers}
+update_pbar_every: ${.host.update_pbar_every}
+country: Switzerland
+use_lidar: ${.experiment.encoder.use_lidar}
+use_images: ${.experiment.encoder.use_images}
+eval:
+  split: val
+  pred_file: ${..output_dir}/predictions/${..checkpoint}.json
+  modes:
+  - iou
+  eval_file: results/metrics

ffl/224/v5_lidar_bs2x16_mnv16/.hydra/hydra.yaml

@@ -0,0 +1,167 @@
+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:
+    - log_to_wandb=true
+    - host=g5k
+    - run_type=release
+    - multi_gpu=true
+    - checkpoint=null
+    - experiment=lidar_density_ablation16
+  job:
+    name: train
+    chdir: null
+    override_dirname: checkpoint=null,experiment=lidar_density_ablation16,host=g5k,log_to_wandb=true,multi_gpu=true,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: /home/rsulzer/python/PixelsPointsPolygons
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/rsulzer/python/PixelsPointsPolygons/config
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/rsulzer/data/ffl_outputs/lidarpoly/224/v5_lidar_bs2x16_mnv16
+    choices:
+      experiment: lidar_density_ablation16
+      [email protected]: ffl
+      [email protected]: pointpillars_vit_cnn
+      dataset: lidarpoly
+      polygonization: asm_acm
+      run_type: release
+      host: g5k
+      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

ffl/224/v5_lidar_bs2x16_mnv16/.hydra/overrides.yaml

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+- host=g5k
+- run_type=release
+- multi_gpu=true
+- checkpoint=null
+- experiment=lidar_density_ablation16

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ffl/224/v5_lidar_bs2x16_mnv256/.hydra/config.yaml

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+host:
+  name: jeanzay
+  data_root: /lustre/fswork/projects/rech/cso/uku93eu/data
+  update_pbar_every: 60
+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
+polygonization:
+  method:
+  - acm
+  common_params:
+    init_data_level: 0.5
+  simple_method:
+    data_level: 0.5
+    tolerance:
+    - 1.0
+    seg_threshold: 0.5
+    min_area: 10
+  asm_method:
+    init_method: skeleton
+    data_level: 0.5
+    loss_params:
+      coefs:
+        step_thresholds:
+        - 0
+        - 100
+        - 200
+        - 300
+        data:
+        - 1.0
+        - 0.1
+        - 0.0
+        - 0.0
+        crossfield:
+        - 0.0
+        - 0.05
+        - 0.0
+        - 0.0
+        length:
+        - 0.1
+        - 0.01
+        - 0.0
+        - 0.0
+        curvature:
+        - 0.0
+        - 0.0
+        - 1.0
+        - 0.0
+        corner:
+        - 0.0
+        - 0.0
+        - 0.5
+        - 0.0
+        junction:
+        - 0.0
+        - 0.0
+        - 0.5
+        - 0.0
+      curvature_dissimilarity_threshold: 2
+      corner_angles:
+      - 45
+      - 90
+      - 135
+      corner_angle_threshold: 22.5
+      junction_angles:
+      - 0
+      - 45
+      - 90
+      - 135
+      junction_angle_weights:
+      - 1
+      - 0.01
+      - 0.1
+      - 0.01
+      junction_angle_threshold: 22.5
+    lr: 0.1
+    gamma: 0.995
+    device: cuda
+    tolerance:
+    - 1
+    seg_threshold: 0.5
+    min_area: 10
+  acm_method:
+    steps: 500
+    data_level: 0.5
+    data_coef: 0.1
+    length_coef: 0.4
+    crossfield_coef: 0.5
+    poly_lr: 0.01
+    warmup_iters: 100
+    warmup_factor: 0.1
+    device: cuda
+    tolerance:
+    - 1
+    seg_threshold: 0.5
+    min_area: 10
+dataset:
+  name: lidarpoly
+  size: ${..experiment.encoder.in_size}
+  path: ${host.data_root}/${.name}/${.size}
+  annotations:
+    train: ${..path}/annotations_${...country}_train.json
+    val: ${..path}/annotations_${...country}_val.json
+    test: ${..path}/annotations_${...country}_test.json
+  ffl_stats:
+    train: ${..path}/ffl/train/stats-${...country}.pt
+    val: ${..path}/ffl/val/stats-${...country}.pt
+    test: ${..path}/ffl/test/stats-${...country}.pt
+  train_subset: ${..run_type.train_subset}
+  val_subset: ${..run_type.val_subset}
+  test_subset: ${..run_type.test_subset}
+experiment:
+  encoder:
+    name: pointpillars_vit_cnn
+    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: 256
+    max_num_voxels:
+      train: 784
+      test: 784
+    out_feature_size: ${..model.decoder.in_feature_size}
+    out_feature_height: ${.out_feature_size}
+    out_feature_width: ${.out_feature_size}
+    out_feature_dim: ${..model.decoder.in_feature_dim}
+    vit:
+      type: vit_small_patch${..patch_size}_${..in_size}.dino
+      checkpoint_file: ${....host.data_root}/checkpoints/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
+    augmentations:
+    - D4
+  model:
+    name: ffl
+    compute_seg: true
+    compute_crossfield: true
+    seg:
+      compute_interior: true
+      compute_edge: false
+      compute_vertex: false
+    decoder:
+      in_feature_size: ${...encoder.in_size}
+      in_feature_width: ${.in_feature_size}
+      in_feature_height: ${.in_feature_size}
+      in_feature_dim: ${if:${eq:${.in_feature_size},512}, 32, 256}
+    point_pillars:
+      out_channels:
+      - ${...decoder.in_feature_dim}
+      - ${...decoder.in_feature_dim}
+      - ${...decoder.in_feature_dim}]
+      upsample_strides:
+      - 4
+      - 8
+      - 16
+    loss:
+      multi:
+        epoch_thresholds:
+        - 0
+        - 5
+        - 10
+        weights:
+          seg: 1
+          crossfield_align: 1
+          crossfield_align90: 0.5
+          crossfield_smooth: 0.005
+          seg_interior_crossfield:
+          - 0
+          - 0
+          - 0.2
+          seg_edge_crossfield:
+          - 0
+          - 0
+          - 0.2
+          seg_edge_interior:
+          - 0
+          - 0
+          - 0.2
+      seg:
+        bce_coef: 1.0
+        dice_coef: 0.2
+        use_freq: false
+        use_dist: false
+        use_size: false
+        w0: 50
+        sigma: 10
+        type: bool
+    batch_size: ${...run_type.batch_size}
+    start_epoch: 0
+    num_epochs: 200
+    milestone: 0
+    learning_rate: 0.0001
+    weight_decay: 0.0
+    gamma: 0.95
+    eval:
+      patch_size: null
+      patch_overlap: 200
+      seg_threshold: 0.5
+  name: v5_lidar_bs2x16_mnv256
+  group_name: v2_${.model.name}
+output_dir: ${.host.data_root}/${.experiment.model.name}_outputs/${.dataset.name}/${.experiment.encoder.in_size}/${.experiment.name}
+checkpoint: best_val_iou
+checkpoint_file: null
+save_best: true
+save_latest: true
+save_every: 10
+val_every: 1
+best_val_loss: 10000000.0
+best_val_iou: 0.0
+multi_gpu: false
+device: cuda
+log_to_wandb: ${.run_type.log_to_wandb}
+num_workers: ${.run_type.num_workers}
+update_pbar_every: ${.host.update_pbar_every}
+country: Switzerland
+use_lidar: ${.experiment.encoder.use_lidar}
+use_images: ${.experiment.encoder.use_images}
+eval:
+  split: test
+  pred_file: ${..output_dir}/predictions_${..country}_${.split}/${..checkpoint}.json
+  modes:
+  - ldof
+  - hausdorff
+  - coco
+  - iou
+  - polis
+  - mta
+  eval_file: results/metrics
+  ldof_exe: /user/rsulzer/home/cpp/line-DOF-metric/build/calculate_DoF

ffl/224/v5_lidar_bs2x16_mnv256/.hydra/hydra.yaml

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+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=jz
+    - run_type=release
+    - multi_gpu=false
+    - checkpoint=best_val_iou
+    - country=Switzerland
+    - eval.split=test
+    - experiment=lidar_density_ablation256
+    - experiment.name=v5_lidar_bs2x16_mnv256
+  job:
+    name: predict
+    chdir: null
+    override_dirname: checkpoint=best_val_iou,country=Switzerland,eval.split=test,experiment.name=v5_lidar_bs2x16_mnv256,experiment=lidar_density_ablation256,host=jz,multi_gpu=false,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: /lustre/fswork/projects/rech/cso/uku93eu/python/PixelsPointsPolygons
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /lustre/fswork/projects/rech/cso/uku93eu/python/PixelsPointsPolygons/config
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /lustre/fswork/projects/rech/cso/uku93eu/data/ffl_outputs/lidarpoly/224/v5_lidar_bs2x16_mnv256
+    choices:
+      experiment: lidar_density_ablation256
+      [email protected]: ffl
+      [email protected]: pointpillars_vit_cnn
+      dataset: lidarpoly
+      polygonization: asm_acm
+      run_type: release
+      host: jz
+      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

ffl/224/v5_lidar_bs2x16_mnv256/.hydra/overrides.yaml

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+- host=jz
+- run_type=release
+- multi_gpu=false
+- checkpoint=best_val_iou
+- country=Switzerland
+- eval.split=test
+- experiment=lidar_density_ablation256
+- experiment.name=v5_lidar_bs2x16_mnv256

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