dbnet-test

dbnet-test — DBNet text detection prototype

This was the original standalone prototype used to validate DBNet ONNX inference before the logic was extracted into the jp_detect crate.

The implementation details (preprocessing, postprocessing, parameter rationale, union-merge algorithm, etc.) are now documented and maintained there.

Quick test

cargo run -p dbnet-test -- --test

Output PNGs are written to /dev/shm/lenzu/.

Sample output

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Credits & Citations

Text Detection Model

Real-time bounding box detection uses the DBNet Multi-Language model.

Model: text_detection_dbnet_ml_v0.2 — optimized by StabRise

Original DBNet Research

@inproceedings{liao2020real,
  title     = {Real-time Scene Text Detection with Differentiable Binarization},
  author    = {Liao, Minghui and Wan, Zhaoyi and Yao, Cong and Chen, Kai and Bai, Xiang},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
  year      = {2020}
}