Comments (2)
In the transformer weights, for mae, there are only weights for patch_embed and special_vis_token (and pos_embed), but not the blocks. And in the forward method, you indeed only use patch_embed to encode the patches.
Do you not use the full mae like in udop_dual? This simple projection carries all the information for font, line spacing, color etc etc?
from i-code.
The MAE checkpoint is together with the transformer weights included in the checkpoint.
if you want the original MAE weights you can download it from the original MAE codebase.
from i-code.
Related Issues (20)
- from core.common.utils import img_trans_torchvision, get_visual_bbox Module not found error
- layout token unkown HOT 1
- special vis token
- Image loading in dataloader code HOT 5
- Img2txt result is pretty bad on 16bit HOT 4
- Img2Img Broken? HOT 1
- Environment encoder V in CoDi
- CoDi : CUDA ran out of memory while trying to do inference tasks HOT 2
- `true` is not defined when running demo.ipynb HOT 1
- Request some details about i-Code V1 HOT 6
- In 'Finetuninng on RVLCDIP', which one is the dataset ? HOT 1
- Generating bounding boxes with UDOP HOT 7
- i-Code studio access?
- Run i-Code-v3 on CPU, Solve GPU VRAM problem! HOT 2
- What dose text characters embeddings initialization weights use in UDOP pretraining? HOT 7
- Language Support HOT 2
- Document Classification Mertic (UDOP) HOT 2
- Inference VRAM requirements? HOT 2
- Data Collator Incorrect When Using a Decoder Prefix
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from i-code.