Delete Base-RCNN-FPN.yml

Base-RCNN-FPN.yml

@@ -1,69 +0,0 @@
-MODEL:
-  MASK_ON: True
-  META_ARCHITECTURE: "GeneralizedRCNN"
-  PIXEL_MEAN: [123.675, 116.280, 103.530]
-  PIXEL_STD: [58.395, 57.120, 57.375]
-  BACKBONE:
-    NAME: "build_vit_fpn_backbone"
-  VIT:
-    OUT_FEATURES: ["layer3", "layer5", "layer7", "layer11"]
-    DROP_PATH: 0.1
-    IMG_SIZE: [224,224]
-    POS_TYPE: "abs"
-  FPN:
-    IN_FEATURES: ["layer3", "layer5", "layer7", "layer11"]
-  ANCHOR_GENERATOR:
-    SIZES: [[32], [64], [128], [256], [512]]  # One size for each in feature map
-    ASPECT_RATIOS: [[0.5, 1.0, 2.0]]  # Three aspect ratios (same for all in feature maps)
-  RPN:
-    IN_FEATURES: ["p2", "p3", "p4", "p5", "p6"]
-    PRE_NMS_TOPK_TRAIN: 2000  # Per FPN level
-    PRE_NMS_TOPK_TEST: 1000  # Per FPN level
-    # Detectron1 uses 2000 proposals per-batch,
-    # (See "modeling/rpn/rpn_outputs.py" for details of this legacy issue)
-    # which is approximately 1000 proposals per-image since the default batch size for FPN is 2.
-    POST_NMS_TOPK_TRAIN: 1000
-    POST_NMS_TOPK_TEST: 1000
-  ROI_HEADS:
-    NAME: "StandardROIHeads"
-    IN_FEATURES: ["p2", "p3", "p4", "p5"]
-    NUM_CLASSES: 5
-  ROI_BOX_HEAD:
-    NAME: "FastRCNNConvFCHead"
-    NUM_FC: 2
-    POOLER_RESOLUTION: 7
-  ROI_MASK_HEAD:
-    NAME: "MaskRCNNConvUpsampleHead"
-    NUM_CONV: 4
-    POOLER_RESOLUTION: 14
-DATASETS:
-  TRAIN: ("publaynet_train",)
-  TEST: ("publaynet_val",)
-SOLVER:
-  LR_SCHEDULER_NAME: "WarmupCosineLR"
-  AMP:
-    ENABLED: True
-  OPTIMIZER: "ADAMW"
-  BACKBONE_MULTIPLIER: 1.0
-  CLIP_GRADIENTS:
-    ENABLED: True
-    CLIP_TYPE: "full_model"
-    CLIP_VALUE: 1.0
-    NORM_TYPE: 2.0
-  WARMUP_FACTOR: 0.01
-  BASE_LR: 0.0004
-  WEIGHT_DECAY: 0.05
-  IMS_PER_BATCH: 32
-INPUT:
-  CROP:
-    ENABLED: True
-    TYPE: "absolute_range"
-    SIZE: (384, 600)
-  MIN_SIZE_TRAIN: (480, 512, 544, 576, 608, 640, 672, 704, 736, 768, 800)
-  FORMAT: "RGB"
-DATALOADER:
-  FILTER_EMPTY_ANNOTATIONS: False
-VERSION: 2
-AUG:
-  DETR: True
-SEED: 42