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OCR自动化阅卷项目

License: GNU Affero General Public License v3.0

Python 83.33% TypeScript 15.39% HTML 0.38% Less 0.89%
aes clip image-processing image-segmentation multimodal ocr paddleocr pytorch

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ouguangye avatar vkgo avatar wang1n avatar youhui1 avatar

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ocrautoscore's Issues

需要什么样的数据集吗?

我这里有很多未打标的答题卡,想问一下需要什么样的数据集标签及格式要求。
不过我们收回来的答题卡图片均为二值化,不是灰度。

yolov8

我想要使用yolov8训练自己的大题检测模型,想问一下可以提供答题卡的数据集吗

感谢项目,帮你捉个虫(应该)

我发现你在外面又单独放了一个CAN模块,这可能是为了解决scoreblocks模块单独运行candemo.py时可能会报路径错误。其实我觉得这可能是编码的时候一个bug,按照我下面展示的修改,可以让你不需要单独放置一个CAN模块

  • 在candemo.py

    • 第13行self.params=load_config('./CAN/config.yaml')改为self.params=load_config('./scoreblocks/CAN/config.yaml')
    • 第22行load_checkpoint(self.model,None,'./CAN/checkpoints/demo.pth')改为load_checkpoint(self.model,None,'./scoreblocks/CAN/checkpoints/demo.pth')
  • 在config.yaml中

    • 第39行word_path: './CAN/words_dict.txt' 改为word_path: './scoreblocks/CAN/words_dict.txt'
    • 第78行checkpoint: "./checkpoints/demo.pth"改为checkpoint: "./scoreblocks/checkpoints/demo.pth"

之后在外部运行score.py时,只需要添加python解释器的路径就行

import sys
import os
sys.path.append(os.getcwd()+'/scoreblocks/')

如何进行部署呢

非常感谢您阅读这条比较简单的问题,我算是小白,因为没有部署过此类文件,想问问有没有具体的教程或者能不能形成Releases,非常感谢

关于选择题的处理

您好,我看到score.py中关于选择题模型的部分为pass,在项目中也看到了关于单字母识别的模型,请问选择题是准备根据涂卡来判断还是根据手写字母来判断?想了解一下您的思路

部署

大佬,可以教一下怎么运行嘛,可以有偿

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