configs/datasets.yaml

Train:
  YoutubeVOS:
    image_dir: path/YTBVOS/train/JPEGImages/
    anno: path/YTBVOS/train/Annotations
    meta: path/YTBVOS/train/meta.json

  YoutubeVIS:
    image_dir: path/youtubevis/train/JPEGImages/
    anno: path/youtubevis/train/Annotations/
    meta: path/youtubevis/train/meta.json

  VIPSeg:
    image_dir: path/VIPSeg/VIPSeg_720P/images/
    anno: path/VIPSeg/VIPSeg_720P/panomasksRGB/

  UVO:
    train:
      image_dir: path/UVO/uvo_frames_sparse
      video_json: path/UVO/UVO_sparse_train_video_with_interpolation.json
      image_json: path/UVO/UVO_sparse_train_video_with_interpolation_reorg.json
    val:
      image_dir: path/UVO/uvo_frames_sparse
      video_json: path/UVO/VideoSparseSet/UVO_sparse_val_video_with_interpolation.json
      image_json: path/UVO/VideoSparseSet/UVO_sparse_val_video_interpolation_reorg.json

  Mose:
    image_dir: path/MOSE/train/JPEGImages/
    anno: path/MOSE/train/Annotations/

  MVImageNet:
    txt: ./datasets/Preprocess/mvimagenet.txt
    image_dir: /mnt/workspace/xizhi/data/MVImgNet/

  VitonHD:
    image_dir: path/TryOn/VitonHD/train/cloth/

  Dresscode:
    image_dir: /mnt/workspace/xizhi/data/dresscode/DressCode/upper_body/label_maps/

  FashionTryon:
    image_dir: path/TryOn/FashionTryOn/train

  Lvis:
    image_dir: path/COCO/train2017
    json_path: path/lvis_v1/lvis_v1_train.json

  SAM:
    sub1: path/SAM/0000
    sub2: path/SAM/0001
    sub3: path/SAM/0002
    sub4: path/SAM/0004

  Saliency:
    MSRA_root: path/Saliency/MSRA10K_Imgs_GT/
    TR_root: path/Saliency/DUTS-TR/DUTS-TR-Image/
    TE_root: path/Saliency/DUTS-TE/DUTS-TE-Image/
    HFlickr_root: path/HFlickr/masks/

Test:
  DreamBooth:
    fg_dir: path/DreamBooth/AnyDoor_DreamBooth
    bg_dir: path/DreamBooth/v1_800

  VitonHDTest:
    image_dir: path/TryOn/VitonHD/test/cloth