active_dual_target_01.yaml

ADA_STAGE: TARGET
CLASS_NAMES: ['Vehicle']

DATA_CONFIG:
    _BASE_CONFIG_: cfgs/dataset_configs/waymo/ADA/ada_waymo_dataset_16_beam.yaml
    INFO_WITH_FAKELIDAR: False
    DATA_AUGMENTOR:
        DISABLE_AUG_LIST: ['placeholder']
        AUG_CONFIG_LIST:

            # - NAME: normalize_object_size
            #   SIZE_RES: [ -0.91, -0.49, -0.26 ]

            - NAME: random_world_flip
              ALONG_AXIS_LIST: [ 'x', 'y' ]

            - NAME: random_world_rotation
              WORLD_ROT_ANGLE: [ -0.78539816, 0.78539816 ]

            - NAME: random_world_scaling
              WORLD_SCALE_RANGE: [ 0.95, 1.05 ]

DATA_CONFIG_SRC_SAMPLE:
    _BASE_CONFIG_: cfgs/dataset_configs/waymo/ADA/ada_waymo_dataset_16_beam.yaml
    FILE_PATH: ../data/waymo_16/waymo_processed_data_v0_5_0
    SOURCE_SAMPLE: True
    SOURCE_SAMPLED_INTERVAL: 100
    INFO_WITH_FAKELIDAR: False
    DATA_AUGMENTOR:
        DISABLE_AUG_LIST: ['placeholder']
        AUG_CONFIG_LIST:

            - NAME: random_world_flip
              ALONG_AXIS_LIST: [ 'x', 'y' ]

            - NAME: random_world_rotation
              WORLD_ROT_ANGLE: [ -0.78539816, 0.78539816 ]

            - NAME: random_world_scaling
              WORLD_SCALE_RANGE: [ 0.95, 1.05 ]

DATA_CONFIG_TAR:
    _BASE_CONFIG_: cfgs/dataset_configs/nuscenes/ADA/ada_nuscenes_dataset.yaml
    FILE_PATH: ../data/nuscenes/v1.0-trainval/nuscenes_infos_10sweeps_train.pkl
    TARGET: True
    CLASS_NAMES: ['car']
    SHIFT_COOR: [0.0, 0.0, 1.8]
    MAX_SWEEPS: 1
    PRED_VELOCITY: False
    BALANCED_RESAMPLING: False

DATA_CONFIG_SAMPLE:
    _BASE_CONFIG_: cfgs/dataset_configs/nuscenes/ADA/ada_nuscenes_dataset.yaml
    TARGET: True
    CLASS_NAMES: ['car']
    SHIFT_COOR: [0.0, 0.0, 1.8]
    MAX_SWEEPS: 1
    PRED_VELOCITY: False
    BALANCED_RESAMPLING: False



MODEL:
    NAME: ActiveDualPVRCNN

    VFE:
        NAME: MeanVFE

    BACKBONE_3D:
        NAME: VoxelBackBone8x

    MAP_TO_BEV:
        NAME: HeightCompression
        NUM_BEV_FEATURES: 256

    BACKBONE_2D:
        NAME: BaseBEVBackbone

        LAYER_NUMS: [5, 5]
        LAYER_STRIDES: [1, 2]
        NUM_FILTERS: [128, 256]
        UPSAMPLE_STRIDES: [1, 2]
        NUM_UPSAMPLE_FILTERS: [256, 256]

    DENSE_HEAD:
        NAME: ActiveAnchorHeadSingle1
        CLASS_AGNOSTIC: False

        MARGIN_SCALE: 1.0
        USE_DIRECTION_CLASSIFIER: True
        DIR_OFFSET: 0.78539
        DIR_LIMIT_OFFSET: 0.0
        NUM_DIR_BINS: 2

        ANCHOR_GENERATOR_CONFIG: [
            {
                'class_name': 'Vehicle',
                'anchor_sizes': [[4.7, 2.1, 1.7]],
                'anchor_rotations': [0, 1.57],
                'anchor_bottom_heights': [0],
                'align_center': False,
                'feature_map_stride': 8,
                'matched_threshold': 0.55,
                'unmatched_threshold': 0.4
            }
        ]

        TARGET_ASSIGNER_CONFIG:
            NAME: AxisAlignedTargetAssigner
            POS_FRACTION: -1.0
            SAMPLE_SIZE: 512
            NORM_BY_NUM_EXAMPLES: False
            MATCH_HEIGHT: False
            BOX_CODER: ResidualCoder

        LOSS_CONFIG:
            LOSS_WEIGHTS: {
                'cls_weight': 1.0,
                'loc_weight': 2.0,
                'dir_weight': 0.2,
                'code_weights': [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
            }

    PFE:
        NAME: VoxelSetAbstraction
        POINT_SOURCE: raw_points
        NUM_KEYPOINTS: 4096
        NUM_OUTPUT_FEATURES: 128
        SAMPLE_METHOD: FPS

        FEATURES_SOURCE: ['bev', 'x_conv3', 'x_conv4', 'raw_points']
        SA_LAYER:
            raw_points:
                MLPS: [[16, 16], [16, 16]]
                POOL_RADIUS: [0.4, 0.8]
                NSAMPLE: [16, 16]
            x_conv1:
                DOWNSAMPLE_FACTOR: 1
                MLPS: [[16, 16], [16, 16]]
                POOL_RADIUS: [0.4, 0.8]
                NSAMPLE: [16, 16]
            x_conv2:
                DOWNSAMPLE_FACTOR: 2
                MLPS: [[32, 32], [32, 32]]
                POOL_RADIUS: [0.8, 1.2]
                NSAMPLE: [16, 32]
            x_conv3:
                DOWNSAMPLE_FACTOR: 4
                MLPS: [[64, 64], [64, 64]]
                POOL_RADIUS: [1.2, 2.4]
                NSAMPLE: [16, 32]
            x_conv4:
                DOWNSAMPLE_FACTOR: 8
                MLPS: [[64, 64], [64, 64]]
                POOL_RADIUS: [2.4, 4.8]
                NSAMPLE: [16, 32]

    DISCRIMINATOR:
        NAME: ActiveBEVDiscriminator_Conv
        FEATURE_DIM: 512

    POINT_HEAD:
        NAME: PointHeadSimple
        CLS_FC: [256, 256]
        CLASS_AGNOSTIC: True
        USE_POINT_FEATURES_BEFORE_FUSION: True
        TARGET_CONFIG:
            GT_EXTRA_WIDTH: [0.2, 0.2, 0.2]
        LOSS_CONFIG:
            LOSS_REG: smooth-l1
            LOSS_WEIGHTS: {
                'point_cls_weight': 1.0,
            }

    ROI_HEAD:
        NAME: ActivePVRCNNHead
        CLASS_AGNOSTIC: True

        SHARED_FC: [256, 256]
        CLS_FC: [256, 256]
        REG_FC: [256, 256]
        DP_RATIO: 0.3

        NMS_CONFIG:
            TRAIN:
                NMS_TYPE: nms_gpu
                MULTI_CLASSES_NMS: False
                NMS_PRE_MAXSIZE: 9000
                NMS_POST_MAXSIZE: 512
                NMS_THRESH: 0.8
            TEST:
                NMS_TYPE: nms_gpu
                MULTI_CLASSES_NMS: False
                NMS_PRE_MAXSIZE: 1024
                NMS_POST_MAXSIZE: 100
                NMS_THRESH: 0.7

        ROI_GRID_POOL:
            GRID_SIZE: 6
            MLPS: [[64, 64], [64, 64]]
            POOL_RADIUS: [0.8, 1.6]
            NSAMPLE: [16, 16]
            POOL_METHOD: max_pool

        TARGET_CONFIG:
            BOX_CODER: ResidualCoder
            ROI_PER_IMAGE: 128
            FG_RATIO: 0.5

            SAMPLE_ROI_BY_EACH_CLASS: True
            CLS_SCORE_TYPE: raw_roi_iou

            CLS_FG_THRESH: 0.75
            CLS_BG_THRESH: 0.25
            CLS_BG_THRESH_LO: 0.1
            HARD_BG_RATIO: 0.8

            REG_FG_THRESH: 0.55

        LOSS_CONFIG:
            CLS_LOSS: BinaryCrossEntropy
            REG_LOSS: smooth-l1
            CORNER_LOSS_REGULARIZATION: True
            LOSS_WEIGHTS: {
                'rcnn_cls_weight': 1.0,
                'rcnn_reg_weight': 1.0,
                'rcnn_corner_weight': 1.0,
                'code_weights': [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
            }

    POST_PROCESSING:
        RECALL_THRESH_LIST: [0.3, 0.5, 0.7]
        SCORE_THRESH: 0.1
        OUTPUT_RAW_SCORE: False

        EVAL_METRIC: kitti

        NMS_CONFIG:
            MULTI_CLASSES_NMS: False
            NMS_TYPE: nms_gpu
            NMS_THRESH: 0.1
            NMS_PRE_MAXSIZE: 4096
            NMS_POST_MAXSIZE: 500


SELF_TRAIN:
    SRC:
        USE_DATA: False
        USE_GRAD: False
        LOSS_WEIGHT: 1.0
    TAR:
        USE_DATA: True
        LOSS_WEIGHT: 1.0

    SCORE_THRESH: [0.5]
    NEG_THRESH: [0.2]
    UPDATE_PSEUDO_LABEL: [0]
    UPDATE_PSEUDO_LABEL_INTERVAL: 2
    INIT_PS: None

    PROG_AUG:
        ENABLED: True
        UPDATE_AUG: [5, 10]
        SCALE: 1.1

    MEMORY_ENSEMBLE:
        ENABLED: False
        NAME: consistency_ensemble
        IOU_THRESH: 0.1

        NMS_CONFIG:
            NMS_TYPE: nms_gpu
            MULTI_CLASSES_NMS: False
            NMS_PRE_MAXSIZE: 512
            NMS_POST_MAXSIZE: 100
            NMS_THRESH: 0.1

        MEMORY_VOTING:
            ENABLED: False
            IGNORE_THRESH: 2
            RM_THRESH: 3


OPTIMIZATION:
    NUM_EPOCHS: 20
    BATCH_SIZE_PER_GPU: 2
    OPTIMIZER: adam_onecycle
    LR: 0.001
    WEIGHT_DECAY: 0.001
    MOMENTUM: 0.9

    MOMS: [0.95, 0.85]
    PCT_START: 0.4
    DIV_FACTOR: 10
    DECAY_STEP_LIST: [15]
    LR_DECAY: 0.1
    LR_CLIP: 0.0000001
    

    DISCRIMINATOR:
        OPTIMIZER: adam
        LR: 0.001
        WEIGHT_DECAY: 0.
        LR_CLIP: 0.0000001
        LR_DECAY: 0.1
        DECAY_STEP_LIST: [5]
        LR_WARMUP: False
        GRAD_NORM_CLIP: 10

    LR_WARMUP: False
    WARMUP_EPOCH: 1

    GRAD_NORM_CLIP: 10
    TAR_LOSS_SCALE: 1.0

    SAMPLE_LOSS_SCALE: 2.0

SOURCE_THRESHOD: 300
ANNOTATION_BUDGET: 140
SAMPLE_EPOCHS: [0, 5]