量化的飞浆模型部署正常，但是转化为onnx模型出现问题（非量化的模型转为onnx可以正常部署）

[stringency]

请提供下述完整信息以便快速定位问题/Please provide the following information to quickly locate the problem

• 系统环境/System Environment：python3.10.4
• 版本号/Version：Paddle： PaddleOCR： 问题相关组件/Related components： paddle2onnx 1.0.6 paddlepaddle 2.5.2 paddleslim 2.6.0
• 运行指令/Command Code：

• 微调量化onnx部署

python tools/infer/predict_system.py --use_onnx=True --use_gpu=False --det_model_dir=output/CCPD/det_quant/onnx/model.onnx --rec_model_dir=output/CCPD/rec_quant/onnx/model.onnx --image_dir="F:/DataSet/CCPD2020/ccpd_green/test/04131106321839081-92_258-159&509_530&611-527&611_172&599_159&509_530&525-0_0_3_32_30_31_30_30-109-106.jpg" --rec_image_shape=3,48,320

• 完整报错/Complete Error Message： [2024/05/18 02:21:46] ppocr INFO: In PP-OCRv3, rec_image_shape parameter defaults to '3, 48, 320', if you are using recognition model with PP-OCRv2 or an older version, please set --rec_image_shape='3,32,320 [2024/05/18 02:21:46] ppocr DEBUG: dt_boxes num : 0, elapsed : 0.13833069801330566 [2024/05/18 02:21:46] ppocr DEBUG: rec_res num : 0, elapsed : 0.0 [2024/05/18 02:21:46] ppocr DEBUG: 0 Predict time of F:/DataSet/CCPD2020/ccpd_green/test/04131106321839081-92_258-159&509_530&611-527&611_172&599_159&509_530&525-0_0_3_32_30_31_30_30-109-106.jpg: 0.141s [2024/05/18 02:21:46] ppocr DEBUG: The visualized image saved in ./inference_results\04131106321839081-92_258-159&509_530&611-527&611_172&599_159&509_530&525-0_0_3_32_30_31_30_30-109-106.jpg [2024/05/18 02:21:46] ppocr INFO: The predict total time is 0.1968538761138916