segmenter_small_512x512_160k_ade20k_bs_16.yaml

DATA:
    BATCH_SIZE: 2  # per GPU [total bs is set to 8 or 16]
    BATCH_SIZE_VAL: 1  # per GPU
    DATASET: 'ADE20K' # dataset name
    DATA_PATH: '/home/ssd3/wutianyi/datasets/ADEChallengeData2016'
    CROP_SIZE: (512,512)  # input_size (training)
    NUM_CLASSES: 150
MODEL:
    NAME: 'Segmenter'
    ENCODER:
        TYPE: 'ViT'
        OUT_INDICES: [11] 
    PRETRAINED: None
    DECODER_TYPE: 'MaskTransformer'
    SEGMENTER:
      NUM_LAYERS: 2
    NUM_CLASSES: 150
    TRANS:
        PATCH_SIZE: 16
        HIDDEN_SIZE: 384 # 192(tiny), 384(small) 768(Base), 1024(Large), 1280(Huge)
        MLP_RATIO: 4     # same as mlp_ratio = 4.0
        NUM_HEADS: 6     # 3(tiny), 6(small), 12(Base), 16(Large), 16(Huge)
        NUM_LAYERS: 12   # 12(tiny), 12(small), 12(Base), 24(Large), 32(Huge)
        QKV_BIAS: True
        KEEP_CLS_TOKEN: True
TRAIN:
    BASE_LR: 0.001
    END_LR: 1e-4
    DECODER_LR_COEF: 10.0
    ITERS: 160000
    POWER: 0.9
    DECAY_STEPS: 160000
    LR_SCHEDULER:
        NAME: 'PolynomialDecay'
    OPTIMIZER:
        WEIGHT_DECAY: 0.0
        GRAD_CLIP: 1.0
        NAME: 'SGD'
        MOMENTUM: 0.9
VAL:
    MULTI_SCALES_VAL: False
    SCALE_RATIOS: [0.5, 0.75, 1.0, 1.25, 1.5, 1.75]
    IMAGE_BASE_SIZE: 512
    CROP_SIZE: [512, 512]
    STRIDE_SIZE: [512, 512]
    MEAN: [127.5, 127.5, 127.5]
    STD: [127.5, 127.5, 127.5]
SAVE_DIR: "./output/segmenter_small_512x512_160k_ade20k_bs_16"