add dino v3 checkpoints

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

@@ -1,36 +1,41 @@
 host:
   name: gin
-  data_root: /data/rsulzer/${..dataset.name}
-  model_root: /data/rsulzer/${..dataset.name}_output
+  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: debug
+  name: release
   batch_size: 16
-  train_subset: 256
-  val_subset: 32
-  test_subset: 32
-  logging: DEBUG
-  num_workers: 0
-  log_to_wandb: false
-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}
+  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: all
+    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: early_fusion_vit_cnn
     use_images: true
@@ -52,7 +57,7 @@ experiment:
     out_feature_dim: ${..model.decoder.in_feature_dim}
     vit:
       type: vit_small_patch${..patch_size}_${..in_size}.dino
-      checkpoint_file: ${....host.model_root}/backbones/dino_deitsmall8_pretrain.pth
+      checkpoint_file: ${...dataset.out_path}/backbones/dino_deitsmall8_pretrain.pth
       pretrained: true
     patch_size: 8
     patch_feature_size: 28
@@ -230,22 +235,21 @@ experiment:
       min_area: 10
   name: v0_all_bs4x16
   group_name: v2_${.model.name}
-  country: all
+  project_name: HiSup
 training:
   save_best: true
   save_latest: true
   save_every: 10
-  val_every: 1
+  val_every: 5
   best_val_loss: 10000000.0
   best_val_iou: 0.0
 evaluation:
   split: val
-  pred_file: ${..output_dir}/predictions_${..experiment.country}_${.split}/${..checkpoint}.json
+  pred_file: ${..output_dir}/predictions_${..experiment.dataset.country}_${.split}/${..checkpoint}.json
   modes:
   - iou
   eval_file: results/metrics
-experiment.name: debug
-output_dir: ${.host.model_root}/${.experiment.model.name}/${.experiment.encoder.in_size}/${.experiment.name}
+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}
 image_file: demo_data/image0_CH_val.tif

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

@@ -112,16 +112,15 @@ hydra:
     hydra:
     - hydra.mode=RUN
     task:
-    - run_type=debug
     - host=gin
-    - checkpoint=best_val_iou
     - experiment=ffl_fusion
     - +image_file=demo_data/image0_CH_val.tif
     - +lidar_file=demo_data/lidar0_CH_val.copc.laz
+    - checkpoint=best_val_iou
   job:
     name: predict_demo
     chdir: null
-    override_dirname: +image_file=demo_data/image0_CH_val.tif,+lidar_file=demo_data/lidar0_CH_val.copc.laz,checkpoint=best_val_iou,experiment=ffl_fusion,host=gin,run_type=debug
+    override_dirname: +image_file=demo_data/image0_CH_val.tif,+lidar_file=demo_data/lidar0_CH_val.copc.laz,checkpoint=best_val_iou,experiment=ffl_fusion,host=gin
     id: ???
     num: ???
     config_name: config
@@ -154,8 +153,8 @@ hydra:
       [email protected]: asm_acm
       [email protected]: ffl
       [email protected]: early_fusion_vit_cnn
-      dataset: p3
-      run_type: debug
+      dataset@experiment.dataset: p3
+      run_type: release
       host: gin
       hydra/env: default
       hydra/callbacks: null

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

@@ -1,6 +1,5 @@
-- run_type=debug
 - host=gin
-- checkpoint=best_val_iou
 - experiment=ffl_fusion
 - +image_file=demo_data/image0_CH_val.tif
 - +lidar_file=demo_data/lidar0_CH_val.copc.laz
+- checkpoint=best_val_iou

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

@@ -1,50 +1,55 @@
 host:
   name: gin
-  data_root: /data/rsulzer/${..dataset.name}_dataset
-  model_root: /data/rsulzer/${..dataset.name}_output
+  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: debug
   batch_size: 16
   train_subset: 256
   val_subset: 32
-  test_subset: 1024
+  test_subset: 32
   logging: DEBUG
   num_workers: 0
   log_to_wandb: false
-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:
+  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: ${...run_type.test_subset}
   encoder:
     name: vit_cnn
     use_images: true
     use_lidar: false
     type: vit_small_patch${.patch_size}_${.in_size}.dino
-    checkpoint_file: ${...host.model_root}/backbones/dino_deitsmall8_pretrain.pth
+    checkpoint_file: ${..dataset.out_path}/backbones/dino_deitsmall8_pretrain.pth
     pretrained: true
     in_size: 224
     in_height: ${.in_size}
     in_width: ${.in_size}
     patch_size: 8
-    patch_feature_size: 28
-    patch_feature_height: ${.patch_feature_size}
-    patch_feature_width: ${.patch_feature_size}
+    feature_map_size: 28
+    feature_map_height: ${.feature_map_size}
+    feature_map_width: ${.feature_map_size}
     patch_feature_dim: 384
     out_feature_size: ${..model.decoder.in_feature_size}
     out_feature_height: ${.out_feature_size}
@@ -220,19 +225,20 @@ experiment:
       min_area: 10
   name: v4_image_bs4x16
   group_name: v2_${.model.name}
-  country: NZ
+  project_name: HiSup
 training:
   save_best: true
   save_latest: true
   save_every: 10
-  val_every: 1
+  val_every: 5
   best_val_loss: 10000000.0
   best_val_iou: 0.0
 evaluation:
-  split: test
-  pred_file: ${..output_dir}/predictions_${..experiment.country}_${.split}/${..checkpoint}.json
-  modes: subset_iou
+  split: val
+  pred_file: ${..output_dir}/predictions_${..experiment.dataset.country}_${.split}/${..checkpoint}.json
+  modes:
+  - iou
   eval_file: results/metrics
-output_dir: ${.host.model_root}/${.experiment.model.name}/${.experiment.encoder.in_size}/${.experiment.name}
+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}

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

@@ -112,18 +112,15 @@ hydra:
     hydra:
     - hydra.mode=RUN
     task:
-    - experiment=ffl_image
     - run_type=debug
-    - evaluation=test
-    - experiment.country=NZ
-    - checkpoint=best_val_iou
     - host=gin
-    - evaluation.modes=subset_iou
-    - run_type.test_subset=1024
+    - checkpoint=best_val_iou
+    - experiment=ffl_image
+    - evaluation=val
   job:
     name: predict
     chdir: null
-    override_dirname: checkpoint=best_val_iou,evaluation.modes=subset_iou,evaluation=test,experiment.country=NZ,experiment=ffl_image,host=gin,run_type.test_subset=1024,run_type=debug
+    override_dirname: checkpoint=best_val_iou,evaluation=val,experiment=ffl_image,host=gin,run_type=debug
     id: ???
     num: ???
     config_name: config
@@ -150,13 +147,13 @@ hydra:
       provider: schema
     output_dir: /data/rsulzer/PixelsPointsPolygons_output/ffl/224/v4_image_bs4x16
     choices:
-      evaluation: test
+      evaluation: val
       training: default
       experiment: ffl_image
       [email protected]: asm_acm
       [email protected]: ffl
       [email protected]: vit_cnn
-      dataset: p3
+      dataset@experiment.dataset: p3
       run_type: debug
       host: gin
       hydra/env: default

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

@@ -1,8 +1,5 @@
-- experiment=ffl_image
 - run_type=debug
-- evaluation=test
-- experiment.country=NZ
-- checkpoint=best_val_iou
 - host=gin
-- evaluation.modes=subset_iou
-- run_type.test_subset=1024
+- checkpoint=best_val_iou
+- experiment=ffl_image
+- evaluation=val

ffl/224/v4_image_bs4x16/predictions_CH_val/acm.tol_1/best_val_iou.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:922b7f744dc6e96cdd343907865c99e5412a3e3bfc28982a5012200bd8dc06b4
+size 29196

ffl/224/v4_image_bs4x16/predictions_CH_val/best_val_iou.json

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6cc4dd5353a1f1388b802760850c30366971cbdaaeb21331d250f325a9f24cd3
-size 285
+oid sha256:922b7f744dc6e96cdd343907865c99e5412a3e3bfc28982a5012200bd8dc06b4
+size 29196

ffl/224/v5_lidar_bs2x16_mnv64/.hydra/config.yaml

@@ -1,11 +1,13 @@
 host:
   name: gin
-  data_root: /data/rsulzer/${..dataset.name}
-  model_root: /data/rsulzer/${..dataset.name}_output
+  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: debug
   batch_size: 16
@@ -15,22 +17,25 @@ run_type:
   logging: DEBUG
   num_workers: 0
   log_to_wandb: false
-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:
+  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_cnn
     use_images: false
@@ -52,12 +57,12 @@ experiment:
     out_feature_dim: ${..model.decoder.in_feature_dim}
     vit:
       type: vit_small_patch${..patch_size}_${..in_size}.dino
-      checkpoint_file: ${....host.model_root}/backbones/dino_deitsmall8_pretrain.pth
+      checkpoint_file: ${...dataset.out_path}/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}
+    feature_map_size: 28
+    feature_map_height: ${.feature_map_size}
+    feature_map_width: ${.feature_map_size}
     patch_feature_dim: 384
     augmentations:
     - D4
@@ -218,22 +223,20 @@ experiment:
       min_area: 10
   name: v5_lidar_bs2x16_mnv64
   group_name: v2_${.model.name}
-  country: CH
+  project_name: HiSup
 training:
   save_best: true
   save_latest: true
   save_every: 10
-  val_every: 1
+  val_every: 5
   best_val_loss: 10000000.0
   best_val_iou: 0.0
 evaluation:
   split: val
-  pred_file: ${..output_dir}/predictions_${..experiment.country}_${.split}/${..checkpoint}.json
+  pred_file: ${..output_dir}/predictions_${..experiment.dataset.country}_${.split}/${..checkpoint}.json
   modes:
   - iou
   eval_file: results/metrics
-experiment.name: debug
-output_dir: ${.host.model_root}/${.experiment.model.name}/${.experiment.encoder.in_size}/${.experiment.name}
+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: demo_data/lidar0_CH_val.copc.laz

ffl/224/v5_lidar_bs2x16_mnv64/.hydra/hydra.yaml

@@ -116,11 +116,11 @@ hydra:
     - host=gin
     - checkpoint=best_val_iou
     - experiment=ffl_lidar
-    - +lidar_file=demo_data/lidar0_CH_val.copc.laz
+    - evaluation=val
   job:
-    name: predict_demo
+    name: predict
     chdir: null
-    override_dirname: +lidar_file=demo_data/lidar0_CH_val.copc.laz,checkpoint=best_val_iou,experiment=ffl_lidar,host=gin,run_type=debug
+    override_dirname: checkpoint=best_val_iou,evaluation=val,experiment=ffl_lidar,host=gin,run_type=debug
     id: ???
     num: ???
     config_name: config
@@ -153,7 +153,7 @@ hydra:
       [email protected]: asm_acm
       [email protected]: ffl
       [email protected]: pointpillars_vit_cnn
-      dataset: p3
+      dataset@experiment.dataset: p3
       run_type: debug
       host: gin
       hydra/env: default

ffl/224/v5_lidar_bs2x16_mnv64/.hydra/overrides.yaml

@@ -2,4 +2,4 @@
 - host=gin
 - checkpoint=best_val_iou
 - experiment=ffl_lidar
-- +lidar_file=demo_data/lidar0_CH_val.copc.laz
+- evaluation=val

ffl/224/v5_lidar_bs2x16_mnv64/predictions_CH_val/acm.tol_1/best_val_iou.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:321152ee7d4faad0964b53430b63ff2cf05bf21f268959f9e25a980660fefaaf
+size 31186

ffl/224/v5_lidar_bs2x16_mnv64/predictions_CH_val/best_val_iou.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:321152ee7d4faad0964b53430b63ff2cf05bf21f268959f9e25a980660fefaaf
+size 31186

pix2poly/224/lidar_dinov3/checkpoints/best_val_iou.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7422f27bfec4dde39d643b5ae12bec743d9cdd0206442cd5a1655d1705dac2d8
+size 462686553

pix2poly/224/lidar_dinov3/checkpoints/best_val_loss.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c53a527b96e8231cc4bffcf8e80eedfb6fd7f50cddb5121f4a88cb51ef4b0793
+size 462687976

pix2poly/224/lidar_dinov3/checkpoints/latest.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9bd210b7b606ff3e3b772cf6a219a03bd0677bd297a2f913ccfd94598d734d1a
+size 462671871

pix2poly/224/lidar_dinov3/predictions_CH_val/best_val_iou.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d00321e05209bf1cf57646ec498de260dd702dc680f00fde538d0da3e71e7119
+size 525876

pix2poly/224/lidar_dinov3/train.log

@@ -0,0 +1,45 @@
+[2025-10-29 21:19:49,739][dinov3][INFO] - using base=100 for rope new
+[2025-10-29 21:19:49,739][dinov3][INFO] - using min_period=None for rope new
+[2025-10-29 21:19:49,740][dinov3][INFO] - using max_period=None for rope new
+[2025-10-29 21:19:49,740][dinov3][INFO] - using normalize_coords=separate for rope new
+[2025-10-29 21:19:49,740][dinov3][INFO] - using shift_coords=None for rope new
+[2025-10-29 21:19:49,740][dinov3][INFO] - using rescale_coords=2 for rope new
+[2025-10-29 21:19:49,740][dinov3][INFO] - using jitter_coords=None for rope new
+[2025-10-29 21:19:49,740][dinov3][INFO] - using dtype=fp32 for rope new
+[2025-10-29 21:19:49,741][dinov3][INFO] - using swiglu layer as FFN
+[2025-10-29 21:20:39,413][dinov3][INFO] - using base=100 for rope new
+[2025-10-29 21:20:39,413][dinov3][INFO] - using min_period=None for rope new
+[2025-10-29 21:20:39,413][dinov3][INFO] - using max_period=None for rope new
+[2025-10-29 21:20:39,413][dinov3][INFO] - using normalize_coords=separate for rope new
+[2025-10-29 21:20:39,413][dinov3][INFO] - using shift_coords=None for rope new
+[2025-10-29 21:20:39,413][dinov3][INFO] - using rescale_coords=2 for rope new
+[2025-10-29 21:20:39,414][dinov3][INFO] - using jitter_coords=None for rope new
+[2025-10-29 21:20:39,414][dinov3][INFO] - using dtype=fp32 for rope new
+[2025-10-29 21:20:39,415][dinov3][INFO] - using swiglu layer as FFN
+[2025-10-29 21:21:19,016][dinov3][INFO] - using base=100 for rope new
+[2025-10-29 21:21:19,016][dinov3][INFO] - using min_period=None for rope new
+[2025-10-29 21:21:19,017][dinov3][INFO] - using max_period=None for rope new
+[2025-10-29 21:21:19,017][dinov3][INFO] - using normalize_coords=separate for rope new
+[2025-10-29 21:21:19,017][dinov3][INFO] - using shift_coords=None for rope new
+[2025-10-29 21:21:19,017][dinov3][INFO] - using rescale_coords=2 for rope new
+[2025-10-29 21:21:19,017][dinov3][INFO] - using jitter_coords=None for rope new
+[2025-10-29 21:21:19,017][dinov3][INFO] - using dtype=fp32 for rope new
+[2025-10-29 21:21:19,018][dinov3][INFO] - using swiglu layer as FFN
+[2025-10-30 00:49:02,199][dinov3][INFO] - using base=100 for rope new
+[2025-10-30 00:49:02,199][dinov3][INFO] - using min_period=None for rope new
+[2025-10-30 00:49:02,199][dinov3][INFO] - using max_period=None for rope new
+[2025-10-30 00:49:02,199][dinov3][INFO] - using normalize_coords=separate for rope new
+[2025-10-30 00:49:02,199][dinov3][INFO] - using shift_coords=None for rope new
+[2025-10-30 00:49:02,199][dinov3][INFO] - using rescale_coords=2 for rope new
+[2025-10-30 00:49:02,199][dinov3][INFO] - using jitter_coords=None for rope new
+[2025-10-30 00:49:02,200][dinov3][INFO] - using dtype=fp32 for rope new
+[2025-10-30 00:49:02,201][dinov3][INFO] - using swiglu layer as FFN
+[2025-10-30 09:28:32,493][dinov3][INFO] - using base=100 for rope new
+[2025-10-30 09:28:32,494][dinov3][INFO] - using min_period=None for rope new
+[2025-10-30 09:28:32,494][dinov3][INFO] - using max_period=None for rope new
+[2025-10-30 09:28:32,494][dinov3][INFO] - using normalize_coords=separate for rope new
+[2025-10-30 09:28:32,494][dinov3][INFO] - using shift_coords=None for rope new
+[2025-10-30 09:28:32,494][dinov3][INFO] - using rescale_coords=2 for rope new
+[2025-10-30 09:28:32,494][dinov3][INFO] - using jitter_coords=None for rope new
+[2025-10-30 09:28:32,494][dinov3][INFO] - using dtype=fp32 for rope new
+[2025-10-30 09:28:32,495][dinov3][INFO] - using swiglu layer as FFN

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

@@ -1,36 +1,41 @@
 host:
   name: gin
-  data_root: /data/rsulzer/${..dataset.name}
-  model_root: /data/rsulzer/${..dataset.name}_output
+  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: debug
+  name: release
   batch_size: 16
-  train_subset: 256
-  val_subset: 32
-  test_subset: 32
-  logging: DEBUG
-  num_workers: 0
-  log_to_wandb: false
-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}
+  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: ${...run_type.test_subset}
   encoder:
     name: pointpillars_vit
     use_images: false
@@ -50,12 +55,12 @@ experiment:
     out_feature_height: 28
     vit:
       type: vit_small_patch${..patch_size}_${..in_size}.dino
-      checkpoint_file: ${....host.model_root}/backbones/dino_deitsmall8_pretrain.pth
+      checkpoint_file: ${...dataset.out_path}/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}
+    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}
@@ -76,46 +81,45 @@ experiment:
   model:
     name: pix2poly
     decoder:
-      in_feature_size: ${...encoder.patch_feature_size}
+      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
-      n_vertices: 192
+      max_num_vertices: 192
       max_len: null
       pad_idx: null
       generation_steps: null
+    shuffle_polygons: false
     fusion: patch_concat
     sinkhorn_iterations: 100
-    label_smoothing: 0.0
     vertex_loss_weight: 1.0
     perm_loss_weight: 10.0
     batch_size: ${...run_type.batch_size}
     start_epoch: 0
     num_epochs: 200
-    milestone: 0
     learning_rate: 0.0003
     weight_decay: 0.0001
   name: lidar_pp_vit_bs2x16_mnv64
   group_name: v2_${.model.name}
-  country: CH
+  project_name: HiSup
+  lidar_dropout: null
 training:
   save_best: true
   save_latest: true
   save_every: 10
-  val_every: 1
+  val_every: 5
   best_val_loss: 10000000.0
   best_val_iou: 0.0
 evaluation:
   split: val
-  pred_file: ${..output_dir}/predictions_${..experiment.country}_${.split}/${..checkpoint}.json
+  pred_file: ${..output_dir}/predictions_${..experiment.dataset.country}_${.split}/${..checkpoint}.json
   modes:
   - iou
   eval_file: results/metrics
-experiment.name: debug
-output_dir: ${.host.model_root}/${.experiment.model.name}/${.experiment.encoder.in_size}/${.experiment.name}
+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: demo_data/lidar0_CH_val.copc.laz
+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

@@ -112,15 +112,15 @@ hydra:
     hydra:
     - hydra.mode=RUN
     task:
-    - run_type=debug
+    - run_type=release
     - host=gin
     - checkpoint=best_val_iou
     - experiment=p2p_lidar
-    - +lidar_file=demo_data/lidar0_CH_val.copc.laz
+    - +lidar_file=/data/rsulzer/luxcarta/Nimes/laz/LHD_FXX_0809_6305_PTS_LAMB93_IGN69.copc.laz
   job:
-    name: predict_demo
+    name: predict_geotile
     chdir: null
-    override_dirname: +lidar_file=demo_data/lidar0_CH_val.copc.laz,checkpoint=best_val_iou,experiment=p2p_lidar,host=gin,run_type=debug
+    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
@@ -152,8 +152,8 @@ hydra:
       experiment: p2p_lidar
       [email protected]: pix2poly
       [email protected]: pointpillars_vit
-      dataset: p3
-      run_type: debug
+      dataset@experiment.dataset: p3
+      run_type: release
       host: gin
       hydra/env: default
       hydra/callbacks: null

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

@@ -1,5 +1,5 @@
-- run_type=debug
+- run_type=release
 - host=gin
 - checkpoint=best_val_iou
 - experiment=p2p_lidar
-- +lidar_file=demo_data/lidar0_CH_val.copc.laz
+- +lidar_file=/data/rsulzer/luxcarta/Nimes/laz/LHD_FXX_0809_6305_PTS_LAMB93_IGN69.copc.laz

pix2poly/224/lidar_pp_vit_bs2x16_mnv64/predict_geotile.log

@@ -0,0 +1,4 @@
+[2025-10-29 19:34:17,059][pyogrio._io][INFO] - Created 8 records
+[2025-10-29 19:49:45,978][pyogrio._io][INFO] - Created 8 records
+[2025-10-29 20:11:27,803][pyogrio._io][INFO] - Created 87 records
+[2025-10-29 20:19:35,875][pyogrio._io][INFO] - Created 1,324 records

pix2poly/224/lidar_pp_vit_bs2x16_mnv64/predictions_CH_val/best_val_iou.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e4e42293b6a922381dfac281f6d99a1cd8168b623ceae32396185b5322603e8
+size 557624