PP-DocLayoutV3-safetensors-CoreML

aoiandroid/PP-DocLayoutV3-safetensors-CoreML

PP-DocLayoutV3-safetensors-CoreML is a machine learning model from aoiandroid. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for coreml. The card lists the license as apache-2.0.

Private distribution of the Core ML export for PaddlePaddle/PP-DocLayoutV3safetensors, built for TranslateBlue on-device layout detection.

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At a glance

Library: coreml
License: apache-2.0
Access: Public
Created: May 23, 2026
Updated: May 23, 2026
SHA: fe09e805

Base models

PaddlePaddle/PP-DocLayoutV3_safetensors

Model card

From the Hugging Face model README

PP-DocLayoutV3 safetensors Core ML (mlprogram)

Private distribution of the Core ML export for PaddlePaddle/PP-DocLayoutV3_safetensors, built for TranslateBlue on-device layout detection.

Source weights: PaddlePaddle/PP-DocLayoutV3 / PP-DocLayoutV3_safetensors.

Files

File	Description
`PP-DocLayoutV3-safetensors.mlpackage/`	Core ML mlprogram (iOS 18+, float32)
`preprocessor_config.json`	HF image processor contract (800×800)
`conversion-status.json`	Export metadata
`parity-report.json`	PyTorch vs Core ML tensor diff (smoke image)

Input / output (in-package)

Tensor	Shape	Dtype
`pixel_values` (in)	`[1, 3, 800, 800]`	float32
`logits` (out)	`[1, 300, 25]`	float32
`pred_boxes` (out)	`[1, 300, 4]`	float32 (normalized cxcywh)
`order_logits` (out)	`[1, 300, 300]`	float32

Preprocessing

Match PPDocLayoutV3ImageProcessor:

Resize to 800×800 (bicubic, antialias=False in Transformers export)
Rescale: pixel / 255
Normalize: mean [0,0,0], std [1,1,1]

See preprocessor_config.json.

Post-processing (not in Core ML)

Apply the same logic as PPDocLayoutV3ImageProcessor.post_process_object_detection in Python or Swift:

Sigmoid + top-k on logits
Reading order from order_logits
Optional polygon masks require full PyTorch path (masks omitted in this export)

Conversion notes

Export script: TranslateBlue Scripts/export_pp_doclayout_v3_safetensors_coreml/
numpy<2.4 required for coremltools convert (coremltools#2633)
compute_precision=float32 (fp16 MIL cast diverges)
Fixed 800×800 input (trace); other sizes are unsupported

Parity (reference)

On bus.jpg (TranslateBlue smoke):

Tensor	max abs diff vs export wrapper
logits	7.2e-5
pred_boxes	9.7e-6
order_logits	0.04

License

Apache 2.0 (same family as PaddlePaddle/PP-DocLayoutV3).

Library: coreml
License: apache-2.0
Created: May 23, 2026
Updated: May 23, 2026