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File size: 1,840 Bytes
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MODEL:
META_ARCHITECTURE: "GLEE"
MASK_ON: True
BACKBONE:
FREEZE_AT: 0
NAME: "build_resnet_backbone"
PIXEL_MEAN: [123.675, 116.280, 103.530]
PIXEL_STD: [58.395, 57.120, 57.375]
RESNETS:
DEPTH: 50
STEM_TYPE: "basic" # not used
STEM_OUT_CHANNELS: 64
STRIDE_IN_1X1: False
OUT_FEATURES: ["res2", "res3", "res4", "res5"]
# NORM: "SyncBN"
RES5_MULTI_GRID: [1, 1, 1] # not used
SEM_SEG_HEAD:
NAME: "MaskDINOHead"
IGNORE_VALUE: 255
NUM_CLASSES: 80
LOSS_WEIGHT: 1.0
CONVS_DIM: 256
MASK_DIM: 256
NORM: "GN"
# pixel decoder
PIXEL_DECODER_NAME: "MaskDINOEncoder"
DIM_FEEDFORWARD: 2048
NUM_FEATURE_LEVELS: 3
TOTAL_NUM_FEATURE_LEVELS: 4
IN_FEATURES: ["res2", "res3", "res4", "res5"]
DEFORMABLE_TRANSFORMER_ENCODER_IN_FEATURES: ["res3", "res4", "res5"]
COMMON_STRIDE: 4
TRANSFORMER_ENC_LAYERS: 6
FEATURE_ORDER: "low2high"
MaskDINO:
TRANSFORMER_DECODER_NAME: "MaskDINODecoder"
DEEP_SUPERVISION: True
NO_OBJECT_WEIGHT: 0.1
CLASS_WEIGHT: 4.0
MASK_WEIGHT: 5.0
DICE_WEIGHT: 5.0
BOX_WEIGHT: 5.0
GIOU_WEIGHT: 2.0
HIDDEN_DIM: 256
NUM_OBJECT_QUERIES: 300
NHEADS: 8
DROPOUT: 0.0
DIM_FEEDFORWARD: 2048
ENC_LAYERS: 0
PRE_NORM: False
ENFORCE_INPUT_PROJ: False
SIZE_DIVISIBILITY: 32
DEC_LAYERS: 9 # 9+1, 9 decoder layers, add one for the loss on learnable query
TRAIN_NUM_POINTS: 12544
OVERSAMPLE_RATIO: 3.0
IMPORTANCE_SAMPLE_RATIO: 0.75
INITIAL_PRED: True
TWO_STAGE: True
DN: "standard"
DN_NUM: 100
INITIALIZE_BOX_TYPE: "no"
TEST:
SEMANTIC_ON: False
INSTANCE_ON: True
PANOPTIC_ON: False
OVERLAP_THRESHOLD: 0.8
OBJECT_MASK_THRESHOLD: 0.25
TEXT:
ARCH: clip_teacher
LANGUAGE_BACKBONE:
LANG_DIM: 512
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