python 怎样指定det,rec模型和dict, engine = RapidOCR()

[nissansz]

-- encoding: utf-8 --

@author: SWHL

@Contact: [email protected]

import cv2

from rapidocr_onnxruntime import RapidOCR, VisRes

from rapidocr_openvino import RapidOCR, VisRes

engine = RapidOCR()
vis = VisRes(font_path="resources/fonts/FZYTK.TTF")

image_path = "tests/test_files/ch_en_num.jpg"
with open(image_path, "rb") as f:
img = f.read()

result, elapse_list = engine(img)
print(result)
print(elapse_list)

boxes, txts, scores = list(zip(*result))
vis_img = vis(img, boxes, txts, scores)
cv2.imwrite("vis.png", vis_img)

[SWHL]

建议先去看一下官方文档哈

[nissansz]

实验了一张手写的检测，跟ctpn检测没啥区别

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[SWHL]

我不太清楚你的问题是什么？如果可以详细具体地说明一下你的问题，我这里可以进一步给出参考。

[nissansz]

有没有pixellink, seglink等onnx检测模型？

[SWHL]

没有，目前仓库模型仅限于PaddleOCR中mobile和server两个版本的，其他算法模型因通用性较差，并无涉及。