breezedeus/CnSTD
CnSTD is a Python package for scene text detection, mathematical formula detection, and layout analysis using deep learning.
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CnSTD provides scene text detection capabilities for both Chinese and English text in images, along with mathematical formula detection and document layout analysis. It is built on deep learning frameworks PyTorch and MXNet, integrating YOLO-based detectors and PPOCR models. The package is distributed via PyPI and supports model downloads from domestic mirrors.
Frequently asked
- What is breezedeus/CnSTD?
- CnSTD is a Python package for scene text detection, mathematical formula detection, and layout analysis using deep learning.
- Is CnSTD open source?
- Yes — breezedeus/CnSTD is open source, released under the Apache-2.0 license.
- What language is CnSTD written in?
- breezedeus/CnSTD is primarily written in Python.
- How popular is CnSTD?
- breezedeus/CnSTD has 792 stars on GitHub.
- Where can I find CnSTD?
- breezedeus/CnSTD is on GitHub at https://github.com/breezedeus/CnSTD.