From 38fc57de3f34a9d20f3b2f0fff14637907b77ba6 Mon Sep 17 00:00:00 2001 From: wuzewu Date: Mon, 26 Aug 2019 22:54:11 +0800 Subject: [PATCH] Delete yaml config file --- configs/coco.yaml | 53 ----------------------------------- test/configs/unet_coco.yaml | 56 ------------------------------------- 2 files changed, 109 deletions(-) delete mode 100644 configs/coco.yaml delete mode 100644 test/configs/unet_coco.yaml diff --git a/configs/coco.yaml b/configs/coco.yaml deleted file mode 100644 index fe0cd0ec..00000000 --- a/configs/coco.yaml +++ /dev/null @@ -1,53 +0,0 @@ -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" diff --git a/test/configs/unet_coco.yaml b/test/configs/unet_coco.yaml deleted file mode 100644 index dd8c94d6..00000000 --- a/test/configs/unet_coco.yaml +++ /dev/null @@ -1,56 +0,0 @@ -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" -- GitLab