| license: apache-2.0 | |
| library_name: structflo-cser | |
| tags: | |
| - object-detection | |
| - chemistry | |
| - document-analysis | |
| # 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. | |
| | field | value | | |
| |---|---| | |
| | latest version | `v1.0` (HF tag `weights-v1.0`) | | |
| | file | `best.safetensors` | | |
| | sha256 | `29962b7115159d93b6b6d3f16b96769a6ffc34e3590e6697687a8e3425ad0bc7` | | |
| | requires | `structflo-cser>=1.0.0,<2.0.0` | | |
| ## Usage | |
| ```python | |
| 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. | |