Temporarily update recipes to update specific component

src/otx/recipe/visual_prompting/sam_tiny_vit.yaml

@@ -29,6 +29,44 @@ engine:
 
 callback_monitor: val/Dice
 
+# tmp: currently getting all callbacks is required to override specific component
+callbacks:
+  - class_path: lightning.pytorch.callbacks.EarlyStopping
+    init_args:
+      monitor: val/Dice # updated
+      mode: max
+      patience: 3 # updated
+      check_on_train_epoch_end: false
+  - class_path: lightning.pytorch.callbacks.RichProgressBar
+    init_args:
+      refresh_rate: 1
+      leave: false
+  - class_path: lightning.pytorch.callbacks.ModelCheckpoint
+    init_args:
+      dirpath: null
+      monitor: null
+      mode: max
+      save_top_k: 1
+      save_last: true
+      auto_insert_metric_name: false
+      filename: "checkpoints/epoch_{epoch:03d}"
+  - class_path: otx.algo.callbacks.iteration_timer.IterationTimer
+    init_args:
+      prog_bar: true
+      on_step: false
+      on_epoch: true
+  - class_path: lightning.pytorch.callbacks.RichModelSummary
+    init_args:
+      max_depth: 1
+  - class_path: lightning.pytorch.callbacks.LearningRateMonitor
+    init_args:
+      logging_interval: epoch
+      log_momentum: true
+  - class_path: otx.algo.callbacks.adaptive_train_scheduling.AdaptiveTrainScheduling
+    init_args:
+      max_interval: 5
+      decay: -0.025
+
 data: ../_base_/data/torchvision_base.yaml
 overrides:
   max_epochs: 100

src/otx/recipe/visual_prompting/sam_vit_b.yaml

@@ -29,6 +29,44 @@ engine:
 
 callback_monitor: val/Dice
 
+# tmp: currently getting all callbacks is required to override specific component
+callbacks:
+  - class_path: lightning.pytorch.callbacks.EarlyStopping
+    init_args:
+      monitor: val/Dice # updated
+      mode: max
+      patience: 3 # updated
+      check_on_train_epoch_end: false
+  - class_path: lightning.pytorch.callbacks.RichProgressBar
+    init_args:
+      refresh_rate: 1
+      leave: false
+  - class_path: lightning.pytorch.callbacks.ModelCheckpoint
+    init_args:
+      dirpath: null
+      monitor: null
+      mode: max
+      save_top_k: 1
+      save_last: true
+      auto_insert_metric_name: false
+      filename: "checkpoints/epoch_{epoch:03d}"
+  - class_path: otx.algo.callbacks.iteration_timer.IterationTimer
+    init_args:
+      prog_bar: true
+      on_step: false
+      on_epoch: true
+  - class_path: lightning.pytorch.callbacks.RichModelSummary
+    init_args:
+      max_depth: 1
+  - class_path: lightning.pytorch.callbacks.LearningRateMonitor
+    init_args:
+      logging_interval: epoch
+      log_momentum: true
+  - class_path: otx.algo.callbacks.adaptive_train_scheduling.AdaptiveTrainScheduling
+    init_args:
+      max_interval: 5
+      decay: -0.025
+
 data: ../_base_/data/torchvision_base.yaml
 overrides:
   max_epochs: 100