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PaddlePaddle/PP-OCRv5_mobile_rec_onnx

🤗 Hugging Face sourceimage-to-textapache-2.017 MBother✓ 1 checksumupdated today
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curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo PaddlePaddle/PP-OCRv5_mobile_rec_onnx ./model-folder
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PP-OCRv5_mobile_rec

Introduction

PP-OCRv5_mobile_rec is one of the PP-OCRv5_rec that are the latest generation text line recognition models developed by PaddleOCR team. It aims to efficiently and accurately support the recognition of four major languages—Simplified Chinese, Traditional Chinese, English, and Japanese—as well as complex text scenarios such as handwriting, vertical text, pinyin, and rare characters using a single model. The key accuracy metrics are as follow:

Handwritten Chinese Handwritten English Printed Chinese Printed English Traditional Chinese Ancient Text Japanese General Scenario Pinyin Rotation Distortion Artistic Text Average
0.4166 0.4944 0.8605 0.8753 0.7199 0.5786 0.7577 0.5570 0.7703 0.7248 0.8089 0.5398 0.8015

Note: If any character (including punctuation) in a line is incorrect, the entire line is marked as wrong. This ensures higher accuracy in practical applications.

Model Usage

Install Dependencies

pip install -U paddleocr
pip install -U onnxruntime-gpu

CLI Usage

paddleocr text_recognition -i ./demo.png --model_name PP-OCRv5_mobile_rec --engine onnxruntime

Python API Usage

from paddleocr import TextRecognition

model = TextRecognition(
    model_name="PP-OCRv5_mobile_rec",
    engine="onnxruntime",
)
output = model.predict("./demo.png", batch_size=1)
for res in output:
    res.print()
    res.save_to_json(save_path="./output/res.json")