igev_sceneflow_amp.yaml

DATA_CONFIG:
    DATA_INFOS:
        -   DATASET: SceneFlowDataset
            DATA_SPLIT: {
                TRAINING: ./data/SceneFlow/sceneflow_finalpass_train.txt,
                EVALUATING: ./data/SceneFlow/sceneflow_finalpass_test.txt,
                TESTING: ./data/SceneFlow/sceneflow_finalpass_test.txt
            }
            DATA_PATH: /yourpath/SceneFlow
            RETURN_RIGHT_DISP: false

    DATA_TRANSFORM:
        TRAINING:
            - { NAME: RandomCrop, SIZE: [ 320, 736 ], Y_JITTER: false }
            - { NAME: TransposeImage }
            - { NAME: ToTensor }
        EVALUATING:
            - { NAME: RightTopPad, SIZE: [ 544, 960 ] }
            - { NAME: TransposeImage }
            - { NAME: ToTensor }

MODEL:
    NAME: IGEV
    MAX_DISP: &max_disp 192
    HIDDEN_DIMS: [ 128, 128, 128 ]
    N_GRU_LAYERS: 3
    N_DOWNSAMPLE: 2
    SLOW_FAST_GRU: True
    CORR_LEVELS: 2
    CORR_RADIUS: 4
    TRAIN_ITERS: 22
    VALID_ITERS: 32
    FIND_UNUSED_PARAMETERS: false
    CKPT: -1
    PRETRAINED_MODEL: ''

OPTIMIZATION:
    BATCH_SIZE_PER_GPU: 4
    FREEZE_BN: true
    SYNC_BN: true
    AMP: true
    NUM_EPOCHS: 64

    OPTIMIZER:
        NAME: AdamW
        LR: 0.0002
        WEIGHT_DECAY: 0.00001
        EPS: 0.00000001

    SCHEDULER:
        NAME: MultiStepLR
        GAMMA: 0.5
        MILESTONES: [ 10, 12, 14, 16 ]
        ON_EPOCH: True
        WARMUP:
            WARM_STEPS: 100

    CLIP_GRAD:
        TYPE: norm
        MAX_NORM: 35
        NORM_TYPE: 2

EVALUATOR:
    BATCH_SIZE_PER_GPU: 10
    MAX_DISP: *max_disp
    METRIC:
        - d1_all
        - epe
        - thres_1
        - thres_2
        - thres_3

TRAINER:
    EVAL_INTERVAL: 1
    CKPT_SAVE_INTERVAL: 1
    MAX_CKPT_SAVE_NUM: 30
    LOGGER_ITER_INTERVAL: 10
    TRAIN_VISUALIZATION: True
    EVAL_VISUALIZATION: True