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saudadez/
rec_chinese_char

Name: rec_chinese_char
Availability: InStock

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rec_chinese_char

A lightweight image-based Chinese character recognition model.

This model is fine-tuned from PaddleOCR/ch_ppocr_server_v2.0_rec_pre to focus on single-character classification, useful for applications like character-level OCR, glyph recognition.

Model Details

Base: ch_ppocr_server_v2.0_rec_pre
Task: Single Chinese character recognition
Framework: PaddleOCR / PaddlePaddle
Output: Unicode character predicted from input image

Files

File	Description
`inference.pdmodel`	Paddle model structure
`inference.pdiparams`	Model weights
`inference.pdiparams.info`	Parameter metadata (optional, for Paddle)
`inference.yml`	Model config file (used by PaddleOCR tools)
`rec_custom_keys.txt`	Character dictionary used during training
`README.md`	This documentation file

Usage

You can use this model with PaddleOCR:

python

import paddle
from paddleocr import PaddleOCR

gpu_available = paddle.device.is_compiled_with_cuda()
ocr = PaddleOCR(
    use_angle_cls=False,
    lang='ch',
    det=False,
    use_gpu=gpu_available,
    rec_model_dir='your_model_dir'  # path to this model
    rec_char_dict_path='your_model_dir/rec_custom_keys.txt',
    rec_image_shape='3,48,48',
)

result = ocr.ocr('path/to/image.jpg')

Make sure to use the correct label dictionary (rec_custom_keys.txt).

Notes

This model is intended for small-scale, character-level recognition tasks.

saudadez/rec_chinese_char