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💻 GitHub | 📘 E-SMILES 2.0 Spec | 📄 Report | 🚀 Demo

ONNX conversions of the existing RxnScribe, MolScribe and English EasyOCR checkpoints. This is a community conversion, not a newly trained model or an upstream release. Use the matching RxnScribe feature branch and its RxnScribeONNX interface. PyTorch is needed for export, not inference.

💻 Github | 📄 Report | 🚀 Demo

The commands below use the glyph package. Install it from the code repository:

1. 概述 2. 数据处理流程 3. 模型架构 4. 损失函数设计 5. 训练流程 6. 配置参数

MarkushGrapher-2 is an end-to-end multimodal model for recognizing chemical structures from patent document images. It jointly encodes vision, text, and layout information to convert Markush structure images into machine-readable CXSMILES representations.

ChemicalOCR is a compact vision-language model fine-tuned specifically for optical character recognition (OCR) in chemical structure images. It extracts text and bounding boxes from molecular drawings, enabling the recognition of atom labels, abbreviations, and descriptive text within chemical…