from configs.data.base import cfg TRAIN_BASE_PATH = "data/megadepth/index" cfg.DATASET.TRAINVAL_DATA_SOURCE = "MegaDepth" cfg.DATASET.TRAIN_DATA_ROOT = "data/megadepth/train" cfg.DATASET.TRAIN_NPZ_ROOT = f"{TRAIN_BASE_PATH}/scene_info_0.1_0.7" cfg.DATASET.TRAIN_LIST_PATH = f"{TRAIN_BASE_PATH}/trainvaltest_list/train_list.txt" cfg.DATASET.MIN_OVERLAP_SCORE_TRAIN = 0.0 TEST_BASE_PATH = "data/megadepth/index" cfg.DATASET.TEST_DATA_SOURCE = "MegaDepth" cfg.DATASET.VAL_DATA_ROOT = cfg.DATASET.TEST_DATA_ROOT = "data/megadepth/test" cfg.DATASET.VAL_NPZ_ROOT = ( cfg.DATASET.TEST_NPZ_ROOT ) = f"{TEST_BASE_PATH}/scene_info_val_1500" cfg.DATASET.VAL_LIST_PATH = ( cfg.DATASET.TEST_LIST_PATH ) = f"{TEST_BASE_PATH}/trainvaltest_list/val_list.txt" cfg.DATASET.MIN_OVERLAP_SCORE_TEST = 0.0 # for both test and val # 368 scenes in total for MegaDepth # (with difficulty balanced (further split each scene to 3 sub-scenes)) cfg.TRAINER.N_SAMPLES_PER_SUBSET = 100 cfg.DATASET.MGDPT_IMG_RESIZE = 800 # for training on 11GB mem GPUs