We've started publishing interactive visual explainers for frequently asked questions. Each issue gets a dedicated page with animations, code references, and CN/EN bilingual support.
🔗 Hub page: https://evolvinglmms-lab.github.io/OneVision-Encoder/
| Issue |
Topic |
Page |
| #105 |
How OCR annotations are used during training |
issue-105.html |
| #112 |
Clarification on Intra-frame (I-frame) interval in data preprocessing |
issue-112.html |
| #113 |
Are all I-frame tokens intended to be preserved in the current implementation? |
issue-113.html |
This table will be updated as more explainers are added. If you have a question that would benefit from a visual explanation, feel free to open an issue.
We've started publishing interactive visual explainers for frequently asked questions. Each issue gets a dedicated page with animations, code references, and CN/EN bilingual support.
🔗 Hub page: https://evolvinglmms-lab.github.io/OneVision-Encoder/
This table will be updated as more explainers are added. If you have a question that would benefit from a visual explanation, feel free to open an issue.