Skip to content

Latest commit

 

History

History
45 lines (42 loc) · 2.33 KB

data.md

File metadata and controls

45 lines (42 loc) · 2.33 KB
Raw
Data Description Download
Visual Genome ln -s VG/images data/vg/images Official
MSCOCO 2014 ln -s coco2014/images data/refcoco/images Official
MSCOCO 2017 ln -s coco2017/val2017 data/coco2017/images Official
EVA CLIP text encoder mv <your_path>/ckpts/eva_clip_psz14.pt ckpts/ Official
Converted annotations unzip data.zip OneDrive
Meteor package unzip meteor.zip -d dynrefer/common/evaluation/ OneDrive
Pre-trained DynRefer weights and logs (Optional) mv <your_path>/ckpts/* ckpts/ OneDrive

To train and evaluate DynRefer, download the files in the table and arrange the files according to the file tree below.

    |--DynRefer/
      |--data/
        |--vg/
           |--dynrefer/
           |--images/
              |--1000.jpg
              |--1001.jpg
              ...
        |--refcoco
           |--dynrefer/
           |--images/
              |--COCO_train2014_000000000009.jpg
              |--COCO_train2014_000000000025.jpg
              ...
        |--coco2017
           |--dynrefer/
           |--images/
              |--000000116207.jpg
              |--000000116208.jpg
              ...
      |--ckpts/
         |--eva_clip_psz14.pt
         |--vg1.2_5e.pth
         |--refcocog_ft.pth
      |--configs/
      |--dynrefer/
      |--docs/
      |--scripts/
      |--train.py
      |--eval.py