Could you provide the setting of training Deeplab on VOC dataset?

[zhaozhengChen]

Thanks for your interest in our work. This is the config file for training Deeplab on the VOC dataset.

EXP:
    ID: voc
    OUTPUT_DIR: data

DATASET:
    NAME: vocaug
    # ROOT: /media/kazuto1011/Extra/VOCdevkit
    ROOT: ./VOCdevkit_LPCAM/
    N_CLASSES: 21
    IGNORE_LABEL: 255
    SCALES: [0.5, 0.75, 1.0, 1.25, 1.5]
    SPLIT:
        TRAIN: train_aug
        VAL: val
        TEST: test

DATALOADER:
    NUM_WORKERS: 8

IMAGE:
    MEAN:
        R: 122.675
        G: 116.669
        B: 104.008
    SIZE:
        BASE: # None
        TRAIN: 321
        TEST: 513

MODEL:
    NAME: DeepLabV2_ResNet101_MSC
    N_BLOCKS: [3, 4, 23, 3]
    ATROUS_RATES: [6, 12, 18, 24]
    INIT_MODEL: ./deeplabv1_resnet101-imagenet.pth
    # INIT_MODEL: data/models/coco/deeplabv1_resnet101/caffemodel/deeplabv1_resnet101-coco.pth

SOLVER:
    BATCH_SIZE:
        TRAIN: 5
        TEST: 1
    ITER_MAX: 20000
    ITER_SIZE: 2
    ITER_SAVE: 5000
    ITER_TB: 20
    LR_DECAY: 10
    LR: 2.5e-4
    MOMENTUM: 0.9
    OPTIMIZER: sgd
    POLY_POWER: 0.9
    WEIGHT_DECAY: 5.0e-4
    AVERAGE_LOSS: 20

CRF:
    ITER_MAX: 10
    POS_W: 3
    POS_XY_STD: 1
    BI_W: 4
    BI_XY_STD: 67
    BI_RGB_STD: 3

[henry227]

Thank you I haved modified it