* Add florence2-base model for all tasks * Update annotator.rs |
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| README.md | ||
| main.rs | ||
README.md
This demo shows how to use BLIP to do conditional or unconditional image captioning.
Quick Start
cargo run -r --example blip
Results
[Unconditional]: a group of people walking around a bus
[Conditional]: three man walking in front of a bus
Some(["three man walking in front of a bus"])
TODO
- Multi-batch inference for image caption
- VQA
- Retrival
- TensorRT support for textual model