| --- |
| tags: |
| - mlx |
| - object-detection |
| - document-layout |
| - reading-order |
| library_name: mlx-vlm |
| license: other |
| license_name: indic-open-model-license-1.0 |
| license_link: https://huggingface.co/HashNuke/indic-ocr-mlx/blob/main/LICENSE.md |
| base_model: bodhan-ai/indic-ocr |
| --- |
| |
| # IndicDocLayout (MLX) |
|
|
| Built with IndicDocLayout from Bodhan AI / AI4Bharat. |
|
|
| The layout stage of [IndicOCR (MLX)](https://huggingface.co/HashNuke/indic-ocr-mlx): |
| a 37-class PP-DocLayoutV3 fine-tune that predicts document regions and reading |
| order. The weights are float32, about 33M parameters (133 MB). |
|
|
| Use an mlx-vlm checkout with `pp_doclayout_v3` support. This example downloads |
| only the layout stage; it does not load the OCR model. |
|
|
| ```python |
| from pathlib import Path |
| |
| from huggingface_hub import snapshot_download |
| from mlx_vlm.utils import load_model |
| |
| root = Path(snapshot_download( |
| "HashNuke/indic-ocr-mlx", allow_patterns=["weights/layout/*"] |
| )) |
| model = load_model(root / "weights/layout") |
| model.eval() |
| records = model.detect("page.png", conf=0.5) |
| for record in sorted(records, key=lambda item: item["reading_order"]): |
| print(record) |
| ``` |
|
|
| Replace `page.png` with an image path. Records contain `bbox` in |
| `[y0, x0, y1, x1]` order, normalized to 0–1000, plus `label`, one-based |
| `reading_order`, and `score`. The detector does not transcribe text. |
|
|
| This fine-tune is distinct from the stock 25-class |
| [PP-DocLayout V3 (MLX)](https://huggingface.co/HashNuke/pp-doclayout-v3-mlx). |
| The source weights are from [bodhan-ai/indic-ocr](https://huggingface.co/bodhan-ai/indic-ocr) |
| under the [Indic Open Model License v1.0](https://huggingface.co/HashNuke/indic-ocr-mlx/blob/main/LICENSE.md). |
|
|
