Delete yaml config file

configs/coco.yaml

-EVAL_CROP_SIZE: (513, 513) # (width, height), for unpadding rangescaling and stepscaling
-TRAIN_CROP_SIZE: (513, 513) # (width, height), for unpadding rangescaling and stepscaling
-AUG:
-    AUG_METHOD: u"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
-    RICH_CROP:
-        ENABLE: False
-        ASPECT_RATIO: 0.33
-        BLUR: True
-        BLUR_RATIO: 0.1
-        FLIP: True
-        FLIP_RATIO: 0.2
-        MAX_ROTATION: 15
-        MIN_AREA_RATIO: 0.5
-        BRIGHTNESS_JITTER_RATIO: 0.5
-        CONTRAST_JITTER_RATIO: 0.5
-        SATURATION_JITTER_RATIO: 0.5
-BATCH_SIZE: 8
-DATASET:
-    DATA_DIR: "./data/COCO2014/"
-    IMAGE_TYPE: "rgb"  # choice rgb or rgba
-    NUM_CLASSES: 21
-    TEST_FILE_LIST: "data/COCO2014/VOC_ImageSets/val.txt"
-    TRAIN_FILE_LIST: "data/COCO2014/ImageSets/train.txt"
-    VAL_FILE_LIST: "data/COCO2014/VOC_ImageSets/val.txt"
-    SEPARATOR: " "
-    IGNORE_INDEX: 255
-FREEZE:
-    MODEL_FILENAME: "model"
-    PARAMS_FILENAME: "params"
-MODEL:
-    DEFAULT_NORM_TYPE: "bn"
-    MODEL_NAME: "deeplabv3p"
-TEST:
-    TEST_MODEL: "snapshots/coco_v1/final"
-TRAIN:
-    MODEL_SAVE_DIR: "snapshots/coco_v1/"
-    PRETRAINED_MODEL: "pretrain/xception65_pretrained/"
-    RESUME: False
-    SNAPSHOT_EPOCH: 5
-SOLVER:
-    LR: 0.007
-    WEIGHT_DECAY: 0.00004
-    NUM_EPOCHS: 40
-    LR_POLICY: "poly"
-    OPTIMIZER: "SGD"

test/configs/unet_coco.yaml

-EVAL_CROP_SIZE: (512, 512) # (width, height), for unpadding rangescaling and stepscaling
-TRAIN_CROP_SIZE: (512, 512) # (width, height), for unpadding rangescaling and stepscaling
-AUG:
-    AUG_METHOD: u"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
-    RICH_CROP:
-        ENABLE: False
-        ASPECT_RATIO: 0.33
-        BLUR: True
-        BLUR_RATIO: 0.1
-        FLIP: True
-        FLIP_RATIO: 0.2
-        MAX_ROTATION: 15
-        MIN_AREA_RATIO: 0.5
-        BRIGHTNESS_JITTER_RATIO: 0.5
-        CONTRAST_JITTER_RATIO: 0.5
-        SATURATION_JITTER_RATIO: 0.5
-BATCH_SIZE: 10
-DATASET:
-    DATA_DIR: "./data/COCO2014/"
-    IMAGE_TYPE: "rgb"  # choice rgb or rgba
-    NUM_CLASSES: 21
-    TEST_FILE_LIST: "data/COCO2014/ImageSets/val.txt"
-    TRAIN_FILE_LIST: "data/COCO2014/ImageSets/train.txt"
-    VAL_FILE_LIST: "data/COCO2014/ImageSets/val.txt"
-    SEPARATOR: "|"
-    IGNORE_INDEX: 255
-FREEZE:
-    MODEL_FILENAME: "model"
-    PARAMS_FILENAME: "params"
-MODEL:
-    DEFAULT_NORM_TYPE: "bn"
-    MODEL_NAME: "unet"
-    UNET:
-        UPSAMPLE_MODE: "bilinear"
-TEST:
-    TEST_MODEL: "snapshots/coco_v1/"
-TRAIN:
-    MODEL_SAVE_DIR: "snapshots/coco_v1/"
-    PRETRAINED_MODEL: ""
-    RESUME: False
-    SNAPSHOT_EPOCH: 10
-SOLVER:
-    LR: 0.025
-    WEIGHT_DECAY: 0.00004
-    NUM_EPOCHS: 50
-    LR_POLICY: "piecewise"
-    OPTIMIZER: "Adam"
-    DECAY_EPOCH: "20,35,45"