structflo-cser-detector

cser-detector — structflo-cser weights

2-class page detector (chemical_structure, compound_label) for chemistry documents. Architecture: D-FINE-L (HGNet-V2 backbone, transformers DFineForObjectDetection, Apache-2.0), initialised from ustc-community/dfine-large-coco (Apache-2.0, COCO-only pretraining) and trained clean-room on synthetic pages rendered with RDKit from ChEMBL SMILES, then fine-tuned on an internal annotated corpus. Single-file .safetensors checkpoint with the model config in its metadata; load with structflo.cser.inference.dfine.DFineDetector.from_file.

Versions v0.1–v0.4 of this repo were Ultralytics YOLO11l checkpoints and are retired (AGPL-3.0 lineage); use v1.0 or later with structflo-cser >= 1.0.

Usage

from structflo.cser.pipeline import ChemPipeline

pipeline = ChemPipeline()            # resolves the latest registered weights
pairs = pipeline.process("page.png")

Pin a version with ChemPipeline(weights="v1.0").

Licence and provenance

Weights: Apache-2.0. Training data: synthetic pages rendered with RDKit from ChEMBL (CC-BY-SA-3.0) SMILES plus an internal annotated corpus (not released). See the package's THIRD_PARTY_NOTICES.md for upstream attributions.