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from configs.data.base import cfg | |
TRAIN_BASE_PATH = "data/megadepth/index" | |
cfg.DATASET.TRAIN_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 | |
VAL_BASE_PATH = "data/METU_VisTIR/index" | |
cfg.DATASET.TEST_DATA_SOURCE = "MegaDepth" | |
cfg.DATASET.VAL_DATA_SOURCE = "VisTir" | |
cfg.DATASET.VAL_DATA_ROOT = cfg.DATASET.TEST_DATA_ROOT = "data/METU_VisTIR" | |
cfg.DATASET.VAL_NPZ_ROOT = cfg.DATASET.TEST_NPZ_ROOT = f"{VAL_BASE_PATH}/scene_info_val" | |
cfg.DATASET.VAL_LIST_PATH = cfg.DATASET.TEST_LIST_PATH = f"{VAL_BASE_PATH}/val_test_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 = 640 # for training on 11GB mem GPUs | |