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pp-OCRv5-6-ncnn – AI Model by qefro | AlphaNeural AI

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qefro/
pp-OCRv5-6-ncnn

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PP-OCR NCNN models

NCNN-converted PP-OCRv5 mobile multilingual recognition models, plus bundled PP-OCRv6 tiny/small/medium models from the PaddleOCR-ncnn-CPP archive.

Included

PP-OCRv5 multilingual rec models

Language-specific recognition models: arabic, cyrillic, devanagari, el, en, eslav, korean, latin, ta, te, th

Files:

{lang}_PP-OCRv5_mobile_rec.param
{lang}_PP-OCRv5_mobile_rec.bin
ppocr_keys_{lang}.txt
configs/config_ppocrv5_{lang}.json

PP-OCRv6 bundled models

Bundled from the PaddleOCR-ncnn-CPP release archive:

PP_OCRv6_tiny_det/rec
PP_OCRv6_small_det/rec
PP_OCRv6_medium_det/rec
ppocr_keys_v6.txt
ppocr_keys_v6_tiny.txt
sample configs under configs/

Notes:

PP-OCRv6_tiny does not support Japanese.
For Japanese, use PP_OCRv6_small or PP_OCRv6_medium.
For Tamil / Telugu / Arabic / Devanagari / Thai / Greek / Korean multilingual work, prefer the dedicated PP-OCRv5 language-specific rec models included here.

Source

PP-OCRv5 language-specific ONNX models: PaddlePaddle/{lang}_PP-OCRv5_mobile_rec_onnx
PP-OCRv6 bundled assets: Avafly/PaddleOCR-ncnn-CPP release archive

Conversion details

PP-OCRv5 ONNX models were converted via pnnx with:

inputshape=[1,3,48,320]
inputshape2=[1,3,48,640]
fp16=0

Blob names were patched for PaddleOCR-ncnn-CPP compatibility: in0/out0 -> input/output.