Remove redundant config files

configs/cityscape.yaml

-EVAL_CROP_SIZE: (2049, 1025) # (width, height), for unpadding rangescaling and stepscaling
-TRAIN_CROP_SIZE: (769, 769) # (width, height), for unpadding rangescaling and stepscaling
-AUG:
-    AUG_METHOD: "stepscaling" # choice unpadding rangescaling and stepscaling
-    FIX_RESIZE_SIZE: (640, 640) # (width, height), for unpadding
-    INF_RESIZE_VALUE: 500  # for rangescaling
-    MAX_RESIZE_VALUE: 600  # for rangescaling
-    MIN_RESIZE_VALUE: 400  # for rangescaling
-    MAX_SCALE_FACTOR: 2.0  # for stepscaling
-    MIN_SCALE_FACTOR: 0.5  # for stepscaling
-    SCALE_STEP_SIZE: 0.25  # for stepscaling
-    MIRROR: True
-BATCH_SIZE: 4
-DATASET:
-    DATA_DIR: "./dataset/cityscapes/"
-    IMAGE_TYPE: "rgb"  # choice rgb or rgba
-    NUM_CLASSES: 19
-    TEST_FILE_LIST: "dataset/cityscapes/val.list"
-    TRAIN_FILE_LIST: "dataset/cityscapes/train.list"
-    VAL_FILE_LIST: "dataset/cityscapes/val.list"
-    IGNORE_INDEX: 255
-FREEZE:
-    MODEL_FILENAME: "model"
-    PARAMS_FILENAME: "params"
-MODEL:
-    DEFAULT_NORM_TYPE: "gn"
-    MODEL_NAME: "deeplabv3p"
-    DEEPLAB:
-        ASPP_WITH_SEP_CONV: True
-        DECODER_USE_SEP_CONV: True
-TEST:
-    TEST_MODEL: "snapshots/cityscape_v5/final/"
-TRAIN:
-    MODEL_SAVE_DIR: "snapshots/cityscape_v7/"
-    PRETRAINED_MODEL_DIR: "pretrain/deeplabv3plus_gn_init"
-    SNAPSHOT_EPOCH: 10
-SOLVER:
-    LR: 0.001
-    LR_POLICY: "poly"
-    OPTIMIZER: "sgd"
-    NUM_EPOCHS: 700

configs/pspnet.yaml

-EVAL_CROP_SIZE: (2049, 1025) # (width, height), for unpadding rangescaling and stepscaling
-TRAIN_CROP_SIZE: (713, 713) # (width, height), for unpadding rangescaling and stepscaling
-AUG:
-    AUG_METHOD: "stepscaling" # choice unpadding rangescaling and stepscaling
-    FIX_RESIZE_SIZE: (640, 640) # (width, height), for unpadding
-    INF_RESIZE_VALUE: 500  # for rangescaling
-    MAX_RESIZE_VALUE: 600  # for rangescaling
-    MIN_RESIZE_VALUE: 400  # for rangescaling
-    MAX_SCALE_FACTOR: 2.0  # for stepscaling
-    MIN_SCALE_FACTOR: 0.5  # for stepscaling
-    SCALE_STEP_SIZE: 0.25  # for stepscaling
-    MIRROR: True
-BATCH_SIZE: 4
-DATASET:
-    DATA_DIR: "./dataset/cityscapes/"
-    IMAGE_TYPE: "rgb"  # choice rgb or rgba
-    NUM_CLASSES: 19
-    TEST_FILE_LIST: "dataset/cityscapes/val.list"
-    TRAIN_FILE_LIST: "dataset/cityscapes/train.list"
-    VAL_FILE_LIST: "dataset/cityscapes/val.list"
-    IGNORE_INDEX: 255
-FREEZE:
-    MODEL_FILENAME: "model"
-    PARAMS_FILENAME: "params"
-MODEL:
-    MODEL_NAME: "pspnet"
-    DEFAULT_NORM_TYPE: "bn"
-TEST:
-    TEST_MODEL: "pretrained_model/pspnet50_ADE20K/"
-TRAIN:
-    MODEL_SAVE_DIR: "snapshots/cityscape_pspnet50/"
-    PRETRAINED_MODEL_DIR: u"pretrained_model/pspnet50_ADE20K/"
-    SNAPSHOT_EPOCH: 10
-SOLVER:
-    LR: 0.001
-    LR_POLICY: "poly"
-    OPTIMIZER: "sgd"
-    NUM_EPOCHS: 700