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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
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