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DPT_Large_480x480_160k_ade20k_bs_16.yaml
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DPT_Large_480x480_160k_ade20k_bs_16.yaml
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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: (480,480) # input_size (training)
NUM_CLASSES: 150
MODEL:
NAME: 'DPT'
ENCODER:
TYPE: 'ViT'
OUT_INDICES: [5, 11, 17, 23]
PRETRAINED: None
DECODER_TYPE: 'DPTHead'
DPT:
HIDDEN_FEATURES: [256, 512, 1024, 1024]
FEATURES: 256
READOUT_PROCESS: 'project'
NUM_CLASSES: 150
TRANS:
PATCH_SIZE: 16
HIDDEN_SIZE: 1024 # 768(Base), 1024(Large), 1280(Huge)
MLP_RATIO: 4 # same as mlp_ratio = 4.0
NUM_HEADS: 16 # 12(Base), 16(Large), 16(Huge)
NUM_LAYERS: 24 # 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:
GRAD_CLIP: 1.0
WEIGHT_DECAY: 0.0
NAME: 'SGD'
MOMENTUM: 0.9
VAL:
MULTI_SCALES_VAL: False
SCALE_RATIOS: [0.5, 0.75, 1.0]
IMAGE_BASE_SIZE: 520
CROP_SIZE: [480,480]
STRIDE_SIZE: [320,320]
MEAN: [127.5, 127.5, 127.5]
STD: [127.5, 127.5, 127.5]
SAVE_DIR: "./output/DPT_Large_480x480_160k_ade20k_bs_16"