add dinov3 exp

pix2poly/224/dinov3/train.log

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

pix2poly/224/image_bs2x16_dinov1/checkpoints/best_val_iou.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a661a0513520f75d12b9792b579836eb0c3fa816a8f936d58b137bdfacb06423
+size 383280061

pix2poly/224/image_bs2x16_dinov1/checkpoints/best_val_loss.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:12acbbbf676f5f05f371148011ed478d91a2042a71306fcdb4ec1e8a6b07a34d
+size 383281253

pix2poly/224/image_bs2x16_dinov1/checkpoints/latest.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fe32a792e1b6f51a765a15d1c5a472a99a5b944c57386ad90000888c6d682c18
+size 383266637

pix2poly/224/image_bs2x16_dinov1/predictions_CH_val/best_val_iou.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6012906c65f55859dc83054cb2e1d5b677868ef634614057d3028e640f615bc1
+size 477006

pix2poly/224/image_bs2x16_dinov2/train.log

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

pix2poly/224/image_bs2x16_dinov3/checkpoints/best_val_iou.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:43f0fa4667191fdb997c081f93d94dc47c3bf50899647c7b685e34e8518be7ae
+size 465915137

pix2poly/224/image_bs2x16_dinov3/checkpoints/best_val_loss.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b07e3b5ebc940fa01d1422978ed8e0aa425be04d53ce31a249ce74cdc5caa672
+size 465916538

pix2poly/224/image_bs2x16_dinov3/checkpoints/latest.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a495c9208ee5864e6a9122a4070c7ad29e18ec6fb772fef9a4b763c71364461b
+size 465900459

pix2poly/224/image_bs2x16_dinov3/predictions_CH_val/best_val_iou.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fceef44bf8a874c7198056e38141672617ce6672b6791132ef946772413d2f02
+size 496870

pix2poly/224/image_bs2x16_dinov3/train.log

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

pix2poly/224/lidar_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
+  name: g5k
+  dataset_root: /home/rsulzer/data_group
+  model_root: /home/rsulzer/data_group
   multi_gpu: false
   device: cuda
-  update_pbar_every: 1
-  ldof_exe: /user/rsulzer/home/cpp/line-DOF-metric/build/calculate_DoF
+  update_pbar_every: 60
+  ldof_exe: null
+  dino_v2_repo: /home/rsulzer/python/dinov2
+  dino_v3_repo: /home/rsulzer/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: ${...run_type.test_subset}
   encoder:
     name: pointpillars_vit
     use_images: false
@@ -50,7 +55,7 @@ experiment:
     out_feature_height: 28
     vit:
       type: vit_small_patch${..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
@@ -83,39 +88,38 @@ experiment:
     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

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

@@ -112,15 +112,15 @@ hydra:
     hydra:
     - hydra.mode=RUN
     task:
-    - run_type=debug
-    - host=gin
-    - checkpoint=best_val_iou
+    - host=g5k
     - experiment=p2p_lidar
     - +lidar_file=demo_data/lidar0_CH_val.copc.laz
+    - host.multi_gpu=false
+    - checkpoint=best_val_iou
   job:
     name: predict_demo
     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=demo_data/lidar0_CH_val.copc.laz,checkpoint=best_val_iou,experiment=p2p_lidar,host.multi_gpu=false,host=g5k
     id: ???
     num: ???
     config_name: config
@@ -134,27 +134,27 @@ hydra:
   runtime:
     version: 1.3.2
     version_base: '1.3'
-    cwd: /run/netsop/u/home-sam/home/rsulzer/remote_python/pixelspointspolygons
+    cwd: /home/rsulzer/python/PixelsPointsPolygons
     config_sources:
     - path: hydra.conf
       schema: pkg
       provider: hydra
-    - path: /run/netsop/u/home-sam/home/rsulzer/remote_python/pixelspointspolygons/config
+    - path: /home/rsulzer/python/PixelsPointsPolygons/config
       schema: file
       provider: main
     - path: ''
       schema: structured
       provider: schema
-    output_dir: /data/rsulzer/PixelsPointsPolygons_output/pix2poly/224/lidar_pp_vit_bs2x16_mnv64
+    output_dir: /home/rsulzer/data_group/PixelsPointsPolygons_output/pix2poly/224/lidar_pp_vit_bs2x16_mnv64
     choices:
       evaluation: val
       training: default
       experiment: p2p_lidar
       model@experiment.model: pix2poly
       encoder@experiment.encoder: pointpillars_vit
-      dataset: p3
-      run_type: debug
-      host: gin
+      dataset@experiment.dataset: p3
+      run_type: release
+      host: g5k
       hydra/env: default
       hydra/callbacks: null
       hydra/job_logging: default

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

@@ -1,5 +1,5 @@
-- run_type=debug
-- host=gin
-- checkpoint=best_val_iou
+- host=g5k
 - experiment=p2p_lidar
 - +lidar_file=demo_data/lidar0_CH_val.copc.laz
+- host.multi_gpu=false
+- checkpoint=best_val_iou