commit from soph after merge

.gitignore

@@ -2,3 +2,7 @@
 **/my_experiment
 **/wandb
 **/visualizations
+**/epoch_*.json
+**/epoch_*.pth
+**/my_experiment
+**/.hydra

backbones/dinov2_vits14_pretrain.pth

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ffl/224/v4_image_bs4x16/predictions_CH_val/best_val_iou.json

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ffl/224/v5_lidar_bs2x16_mnv16/predictions/best_val_iou.json

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ffl/224/v5_lidar_bs2x16_mnv256/predictions/best_val_iou.json

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ffl/224/v5_lidar_bs2x16_mnv32/predictions/best_val_iou.json

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ffl/224/v5_lidar_bs2x16_mnv4/predictions/best_val_iou.json

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ffl/224/v5_lidar_bs2x16_mnv512/predictions/best_val_iou.json

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ffl/224/v5_lidar_bs2x16_mnv64/predictions/best_val_iou.json

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ffl/224/v5_lidar_bs2x16_mnv8/predictions/best_val_iou.json

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hisup/224/early_fusion_vit_cnn_bs2x16_mnv64/predictions/best_val_iou.json

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hisup/224/lidar_pp_vit_cnn_bs2x16_mnv64/.hydra/overrides.yaml

@@ -1,7 +0,0 @@
-- experiment=hisup_lidar
-- run_type=release
-- evaluation=test
-- experiment.country=NZ
-- checkpoint=best_val_iou
-- host=gin
-- evaluation.split=val

hisup/224/lidar_pp_vit_cnn_bs2x16_mnv64/predictions/best_val_iou.json

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hisup/224/lidar_pp_vit_cnn_bs2x16_mnv64/predictions_NZ_val/best_val_iou.json

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hisup/224/v0_all_bs4x16/predictions/best_val_iou.json

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-size 1817061

hisup/224/v3_image_vit_cnn_bs4x12/predictions/best_val_iou.json

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{ffl/224/v5_lidar_bs2x16_mnv128/predictions → hisup/224/v3_image_vit_cnn_bs4x12/predictions_CH_train}/best_val_iou.json

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+size 278572

{ffl/224/v4_image_bs4x16/predictions_CH_val/acm.tol_1 → hisup/224/v3_image_vit_cnn_bs4x12/predictions_NZ_train}/best_val_iou.json

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+size 67530

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

@@ -0,0 +1,122 @@
+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}

{hisup/224/lidar_pp_vit_cnn_bs2x16_mnv64 → pix2poly/224/building_fusion}/.hydra/hydra.yaml

@@ -112,17 +112,13 @@ hydra:
     hydra:
     - hydra.mode=RUN
     task:
-    - experiment=hisup_lidar
-    - run_type=release
-    - evaluation=test
-    - experiment.country=NZ
-    - checkpoint=best_val_iou
     - host=gin
-    - evaluation.split=val
+    - experiment=p2p_fusion_building_ann
+    - run_type=release
   job:
-    name: predict
+    name: train
     chdir: null
-    override_dirname: checkpoint=best_val_iou,evaluation.split=val,evaluation=test,experiment.country=NZ,experiment=hisup_lidar,host=gin,run_type=release
+    override_dirname: experiment=p2p_fusion_building_ann,host=gin,run_type=release
     id: ???
     num: ???
     config_name: config
@@ -147,13 +143,13 @@ hydra:
     - path: ''
       schema: structured
       provider: schema
-    output_dir: /data/rsulzer/PixelsPointsPolygons_output/hisup/224/lidar_pp_vit_cnn_bs2x16_mnv64
+    output_dir: /data/rsulzer/PixelsPointsPolygons_output/pix2poly/224/building_fusion
     choices:
-      evaluation: test
+      evaluation: val
       training: default
-      experiment: hisup_lidar
-      model@experiment.model: hisup
-      encoder@experiment.encoder: pointpillars_vit_cnn
+      experiment: p2p_fusion_building_ann
+      model@experiment.model: pix2poly
+      encoder@experiment.encoder: early_fusion_vit
       dataset: p3
       run_type: release
       host: gin

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

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

pix2poly/224/building_fusion/checkpoints/best_val_iou.pth

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pix2poly/224/building_fusion/checkpoints/best_val_loss.pth

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pix2poly/224/building_fusion/checkpoints/latest.pth

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{ffl/224/v4_fusion_bs4x16_mnv64/predictions → pix2poly/224/building_fusion/predictions_CH_val}/best_val_iou.json

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+size 426893

pix2poly/224/dinov2/.hydra/config.yaml

@@ -0,0 +1,108 @@
+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
+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: ${..path}/annotations/annotations_${...experiment.country}_train.json
+    val: ${..path}/annotations/annotations_${...experiment.country}_val.json
+    test: ${..path}/annotations/annotations_${...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: ${..run_type.test_subset}
+experiment:
+  encoder:
+    name: vit_dinov2
+    use_images: true
+    use_lidar: false
+    type: vit_small_patch${.patch_size}_${.in_size}.dino
+    checkpoint_file: ${...host.model_root}/backbones/dinov2_vits14_pretrain.pth
+    pretrained: true
+    in_size: 224
+    in_height: ${.in_size}
+    in_width: ${.in_size}
+    patch_size: 14
+    patch_feature_size: 16
+    patch_feature_height: ${.patch_feature_size}
+    patch_feature_width: ${.patch_feature_size}
+    patch_feature_dim: 384
+    num_patches: 256
+    out_feature_dim: ${..model.decoder.in_feature_dim}
+    image_mean:
+    - 0.485
+    - 0.456
+    - 0.406
+    image_std:
+    - 0.228
+    - 0.224
+    - 0.225
+    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: ${...run_type.batch_size}
+    start_epoch: 0
+    num_epochs: 200
+    milestone: 0
+    learning_rate: 0.0003
+    weight_decay: 0.0001
+  name: dinov2
+  group_name: v3_${.model.name}
+  country: CH
+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/dinov2/.hydra/hydra.yaml

@@ -0,0 +1,164 @@
+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:
+    - experiment=p2p_image_dinov2
+    - host=gin
+  job:
+    name: train
+    chdir: null
+    override_dirname: experiment=p2p_image_dinov2,host=gin
+    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/dinov2
+    choices:
+      evaluation: val
+      training: default
+      experiment: p2p_image_dinov2
+      model@experiment.model: pix2poly
+      encoder@experiment.encoder: vit_dinov2
+      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/dinov2/.hydra/overrides.yaml

@@ -0,0 +1,2 @@
+- experiment=p2p_image_dinov2
+- host=gin

pix2poly/224/dinov2/checkpoints/best_val_iou.pth

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