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configs/dataset/coco_detection.yml

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+task: detection
+
+num_classes: 9
+remap_mscoco_category: False
+
+train_dataloader: 
+  type: DataLoader
+  dataset: 
+    type: CocoDetection
+    img_folder: ../../AITOD/train/images/
+   # img_folder: /data/student1/keshe/RT-DETR/rtdetr_pytorch/sahi/sliced/aitod_val_v1_images_400_025/
+    ann_file: ../../AITOD/annotations/aitod_train_v1.json
+    #ann_file: /data/student1/keshe/RT-DETR/rtdetr_pytorch/sahi/sliced/aitod_val_v1_400_025.json
+    transforms:
+      type: Compose
+      ops: ~
+  shuffle: True
+  batch_size: 4
+  num_workers: 1
+  drop_last: True 
+
+
+val_dataloader:
+  type: DataLoader
+  dataset: 
+    type: CocoDetection
+    img_folder: ../../AITOD/val/images/
+    #img_folder: /data/student1/keshe/RT-DETR/rtdetr_pytorch/sahi/sliced/aitod_val_v1_images_400_025/
+    ann_file: ../../AITOD/annotations/aitod_val_v1.json
+    #ann_file: /data/student1/keshe/RT-DETR/rtdetr_pytorch/sahi/sliced/aitod_val_v1_400_025.json
+    transforms:
+      type: Compose
+      ops: ~ 
+
+  shuffle: False
+  batch_size: 1
+  num_workers: 1
+  drop_last: False

configs/rtdetr/include/dataloader.yml

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+# num_classes: 91
+# remap_mscoco_category: True
+
+train_dataloader: 
+  dataset: 
+    return_masks: False
+    transforms:
+      ops:
+        - {type: RandomPhotometricDistort, p: 0.5}
+        - {type: RandomZoomOut, fill: 0}
+        - {type: RandomIoUCrop, p: 0.8}
+        - {type: SanitizeBoundingBox, min_size: 1}
+        - {type: RandomHorizontalFlip}
+        - {type: Resize, size: [640, 640], }
+        # - {type: Resize, size: 639, max_size: 640}
+        # - {type: PadToSize, spatial_size: 640}
+        - {type: ToImageTensor}
+        - {type: ConvertDtype}
+        - {type: SanitizeBoundingBox, min_size: 1}
+        - {type: ConvertBox, out_fmt: 'cxcywh', normalize: True}
+  shuffle: True
+  batch_size: 2
+  num_workers: 0
+  collate_fn: default_collate_fn
+
+
+val_dataloader:
+  dataset: 
+    transforms:
+      ops: 
+        # - {type: Resize, size: 639, max_size: 640}
+        # - {type: PadToSize, spatial_size: 640}
+        - {type: Resize, size: [640, 640]}
+        - {type: ToImageTensor}
+        - {type: ConvertDtype}
+  shuffle: False
+  batch_size: 2
+  num_workers: 0
+  collate_fn: default_collate_fn

configs/rtdetr/include/optimizer.yml

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+
+use_ema: True 
+ema:
+  type: ModelEMA
+  decay: 0.9999
+  warmups: 2000
+
+
+find_unused_parameters: True 
+
+epoches: 72
+clip_max_norm: 0.1
+
+optimizer:
+  type: AdamW
+  params: 
+    - 
+      params: 'backbone'
+      lr: 0.00001
+    - 
+      params: '^(?=.*encoder(?=.*bias|.*norm.*weight)).*$'
+      weight_decay: 0.
+    -
+      params: '^(?=.*decoder(?=.*bias|.*norm.*weight)).*$'
+      weight_decay: 0.
+
+  lr: 0.0001
+  betas: [0.9, 0.999]
+  weight_decay: 0.0001
+
+
+lr_scheduler:
+  type: MultiStepLR
+  milestones: [1000]
+  gamma: 0.1
+

configs/rtdetr/include/rtdetr_r50vd.yml

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+task: detection
+
+model: RTDETR
+criterion: SetCriterion
+postprocessor: RTDETRPostProcessor
+
+
+RTDETR: 
+  backbone: PResNet
+  encoder: HybridEncoder
+  decoder: RTDETRTransformer
+  multi_scale: [480, 512, 544, 576, 608, 640, 640, 640, 672, 704, 736, 768, 800]
+
+PResNet:
+  depth: 50
+  variant: d
+  freeze_at: 0
+  return_idx: [1, 2, 3]
+  num_stages: 4
+  freeze_norm: True
+  pretrained: True 
+
+HybridEncoder:
+  in_channels: [512, 1024, 2048]
+  feat_strides: [8, 16, 32]
+
+  # intra
+  hidden_dim: 256
+  use_encoder_idx: [2]
+  num_encoder_layers: 1
+  nhead: 8
+  dim_feedforward: 1024
+  dropout: 0.
+  enc_act: 'gelu'
+  pe_temperature: 10000
+  
+  # cross
+  expansion: 1.0
+  depth_mult: 1
+  act: 'silu'
+
+  # eval
+  eval_spatial_size: [640, 640]
+
+
+RTDETRTransformer:
+  feat_channels: [256, 256, 256]
+  feat_strides: [8, 16, 32]
+  hidden_dim: 256
+  num_levels: 3
+
+  num_queries: 300
+
+  num_decoder_layers: 6
+  num_denoising: 100
+  
+  eval_idx: -1
+  eval_spatial_size: [640, 640]
+
+
+use_focal_loss: True
+
+RTDETRPostProcessor:
+  num_top_queries: 300
+
+
+SetCriterion:
+  weight_dict: {loss_vfl: 1, loss_bbox: 5, loss_giou: 2,}
+  losses: ['vfl', 'boxes', ]
+  alpha: 0.75
+  gamma: 2.0
+
+  matcher:
+    type: HungarianMatcher
+    weight_dict: {cost_class: 2, cost_bbox: 5, cost_giou: 2}
+    # use_focal_loss: True 
+    alpha: 0.25
+    gamma: 2.0
+
+
+

configs/rtdetr/rtdetr_r101vd_6x_coco.yml

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+__include__: [
+  '../dataset/coco_detection.yml',
+  '../runtime.yml',
+  './include/dataloader.yml',
+  './include/optimizer.yml',
+  './include/rtdetr_r50vd.yml',
+]
+
+PResNet:
+  depth: 101
+
+
+HybridEncoder:
+  # intra
+  hidden_dim: 384
+  dim_feedforward: 2048
+
+
+RTDETRTransformer:
+  feat_channels: [384, 384, 384]
+
+
+optimizer:
+  type: AdamW
+  params: 
+    - 
+      params: 'backbone'
+      lr: 0.000001

configs/rtdetr/rtdetr_r18vd_6x_coco.yml

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+
+__include__: [
+  '../dataset/coco_detection.yml',
+  '../runtime.yml',
+  './include/dataloader.yml',
+  './include/optimizer.yml',
+  './include/rtdetr_r50vd.yml',
+]
+
+
+output_dir: ./output/rtdetr_r18vd_6x_coco
+
+PResNet:
+  depth: 18
+  freeze_at: -1
+  freeze_norm: False
+  pretrained: True
+
+HybridEncoder:
+  in_channels: [128, 256, 512]
+  hidden_dim: 256
+  expansion: 0.5
+
+
+RTDETRTransformer:
+  eval_idx: -1
+  num_decoder_layers: 3
+  num_denoising: 100
+
+
+
+optimizer:
+  type: AdamW
+  params: 
+    - 
+      params: '^(?=.*backbone)(?=.*norm).*$'
+      lr: 0.00001
+      weight_decay: 0.
+    - 
+      params: '^(?=.*backbone)(?!.*norm).*$'
+      lr: 0.00001
+    - 
+      params: '^(?=.*(?:encoder|decoder))(?=.*(?:norm|bias)).*$'
+      weight_decay: 0.
+
+  lr: 0.0001
+  betas: [0.9, 0.999]
+  weight_decay: 0.0001
+

configs/rtdetr/rtdetr_r34vd_6x_coco.yml

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+
+__include__: [
+  '../dataset/coco_detection.yml',
+  '../runtime.yml',
+  './include/dataloader.yml',
+  './include/optimizer.yml',
+  './include/rtdetr_r50vd.yml',
+]
+
+
+output_dir: ./output/rtdetr_r34vd_6x_coco
+
+
+PResNet:
+  depth: 34
+  freeze_at: -1
+  freeze_norm: False
+  pretrained: True
+
+
+HybridEncoder:
+  in_channels: [128, 256, 512]
+  hidden_dim: 256
+  expansion: 0.5
+
+
+RTDETRTransformer:
+  num_decoder_layers: 4
+
+
+
+optimizer:
+  type: AdamW
+  params: 
+    - 
+      params: '^(?=.*backbone)(?=.*norm|bn).*$'
+      weight_decay: 0.
+      lr: 0.00001
+    - 
+      params: '^(?=.*backbone)(?!.*norm|bn).*$'
+      lr: 0.00001
+    - 
+      params: '^(?=.*(?:encoder|decoder))(?=.*(?:norm|bn|bias)).*$'
+      weight_decay: 0.
+
+  lr: 0.0001
+  betas: [0.9, 0.999]
+  weight_decay: 0.0001

configs/rtdetr/rtdetr_r50vd_6x_coco.yml

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+__include__: [
+  '../dataset/coco_detection.yml',
+  '../runtime.yml',
+  './include/dataloader.yml',
+  './include/optimizer.yml',
+  './include/rtdetr_r50vd.yml',
+]
+
+output_dir: ./output/rtdetr_r50vd_6x_coco

configs/rtdetr/rtdetr_r50vd_m_6x_coco.yml

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+__include__: [
+  '../dataset/coco_detection.yml',
+  '../runtime.yml',
+  './include/dataloader.yml',
+  './include/optimizer.yml',
+  './include/rtdetr_r50vd.yml',
+]
+
+output_dir: ./output/rtdetr_r50vd_m_6x_coco
+
+
+HybridEncoder:
+  expansion: 0.5
+
+RTDETRTransformer:
+  eval_idx: 2 # use 3th decoder layer to eval

configs/runtime.yml

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+sync_bn: True
+find_unused_parameters: False
+
+
+use_amp: False
+
+scaler:
+  type: GradScaler
+  enabled: True
+
+
+use_ema: False
+ema:
+  type: ModelEMA
+  decay: 0.9999
+  warmups: 2000
+