DATASET: 'WaymoDataset' DATA_PATH: '../data/waymo' PROCESSED_DATA_TAG: 'waymo_processed_data_v0_5_0' POINT_CLOUD_RANGE: [-75.2, -75.2, -2, 75.2, 75.2, 4] DATA_SPLIT: { 'train': train, 'test': val } SAMPLED_INTERVAL: { 'train': 5, 'test': 1 } FILTER_EMPTY_BOXES_FOR_TRAIN: True DISABLE_NLZ_FLAG_ON_POINTS: True USE_SHARED_MEMORY: False # it will load the data to shared memory to speed up (DO NOT USE IT IF YOU DO NOT FULLY UNDERSTAND WHAT WILL HAPPEN) SHARED_MEMORY_FILE_LIMIT: 35000 # set it based on the size of your shared memory DATA_AUGMENTOR: DISABLE_AUG_LIST: ['placeholder'] AUG_CONFIG_LIST: - NAME: gt_sampling USE_ROAD_PLANE: False DB_INFO_PATH: - waymo_processed_data_v0_5_0_waymo_dbinfos_train_sampled_1.pkl USE_SHARED_MEMORY: False # set it to True to speed up (it costs about 15GB shared memory) DB_DATA_PATH: - waymo_processed_data_v0_5_0_gt_database_train_sampled_1_global.npy BACKUP_DB_INFO: # if the above DB_INFO cannot be found, will use this backup one DB_INFO_PATH: waymo_processed_data_v0_5_0_waymo_dbinfos_train_sampled_1_multiframe_-4_to_0.pkl DB_DATA_PATH: waymo_processed_data_v0_5_0_gt_database_train_sampled_1_multiframe_-4_to_0_global.npy NUM_POINT_FEATURES: 6 PREPARE: { filter_by_min_points: ['Vehicle:5', 'Pedestrian:5', 'Cyclist:5'], filter_by_difficulty: [-1], } SAMPLE_GROUPS: ['Vehicle:15', 'Pedestrian:10', 'Cyclist:10'] NUM_POINT_FEATURES: 5 REMOVE_EXTRA_WIDTH: [0.0, 0.0, 0.0] LIMIT_WHOLE_SCENE: True - 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] POINT_FEATURE_ENCODING: { encoding_type: absolute_coordinates_encoding, used_feature_list: ['x', 'y', 'z', 'intensity', 'elongation'], src_feature_list: ['x', 'y', 'z', 'intensity', 'elongation'], } DATA_PROCESSOR: - NAME: mask_points_and_boxes_outside_range REMOVE_OUTSIDE_BOXES: True - NAME: shuffle_points SHUFFLE_ENABLED: { 'train': True, 'test': True } - NAME: transform_points_to_voxels VOXEL_SIZE: [0.1, 0.1, 0.15] MAX_POINTS_PER_VOXEL: 5 MAX_NUMBER_OF_VOXELS: { 'train': 150000, 'test': 150000 }