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MODEL:
BACKBONE:
FREEZE_AT: 0
NAME: "build_resnet_backbone"
WEIGHTS: "detectron2://ImageNetPretrained/torchvision/R-50.pkl"
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
DATASETS:
TRAIN: ("coco_2017_train_panoptic_with_sem_seg",)
TEST_PANOPTIC: ("coco_2017_val_panoptic_with_sem_seg",) # to evaluate instance and semantic performance as well
TEST_INSTANCE: ("coco_2017_val",)
TEST_SEMANTIC: ("coco_2017_val_panoptic_with_sem_seg",)
SOLVER:
IMS_PER_BATCH: 16
BASE_LR: 0.0001
STEPS: (327778, 355092)
MAX_ITER: 368750
WARMUP_FACTOR: 1.0
WARMUP_ITERS: 10
WEIGHT_DECAY: 0.05
OPTIMIZER: "ADAMW"
BACKBONE_MULTIPLIER: 0.1
CLIP_GRADIENTS:
ENABLED: True
CLIP_TYPE: "full_model"
CLIP_VALUE: 0.01
NORM_TYPE: 2.0
AMP:
ENABLED: True
INPUT:
IMAGE_SIZE: 1024
MIN_SCALE: 0.1
MAX_SCALE: 2.0
FORMAT: "RGB"
DATASET_MAPPER_NAME: "coco_unified_lsj"
MAX_SEQ_LEN: 77
TASK_SEQ_LEN: 77
TASK_PROB:
SEMANTIC: 0.33
INSTANCE: 0.66
TEST:
EVAL_PERIOD: 5000
DATALOADER:
FILTER_EMPTY_ANNOTATIONS: True
NUM_WORKERS: 4
VERSION: 2
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