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kaixinwan
V2EX  ›  分享创造

做了一个 ocr 的网站,把图片转为文本,可以看到文本对应的位置

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  •   kaixinwan · 303 天前 · 1749 次点击
    这是一个创建于 303 天前的主题,其中的信息可能已经有所发展或是发生改变。

    做了一个 ocr 的网站,把图片转为文本,可以看到文本对应的位置。大佬们给看看,求反馈

    editableimg.net

    17 条回复    2024-01-16 18:36:56 +08:00
    Seanfuck
        1
    Seanfuck  
       303 天前
    基于什么技术呢?
    现在开源的很多,拉一个容器就有了。
    lozzow
        2
    lozzow  
       303 天前
    太慢了哈哈
    249239432
        3
    249239432  
       303 天前
    各种开源成品拿来就用,就算定制的也就自己找样本识别、训练一下就完了,你这有什么优势?
    xiao8276
        4
    xiao8276  
       303 天前
    有问题啊,怎么发图片 我就上传一张 经营许可证 全乱了 这里怎么发图
    kaixinwan
        5
    kaixinwan  
    OP
       303 天前
    @xiao8276 点 choose file 就可以哈
    kaixinwan
        6
    kaixinwan  
    OP
       303 天前
    @249239432 在一些数据上做过微调,效果会更好一点,除此之外没优势
    cooljser
        7
    cooljser  
       303 天前
    确实慢
    kaixinwan
        8
    kaixinwan  
    OP
       303 天前
    @Seanfuck 基于 paddleocr 模型的微调
    kaixinwan
        9
    kaixinwan  
    OP
       303 天前
    @cooljser 图片大的话会比较慢,在 cpu 上预估的,后面会做一些加速
    N6D6j6ko0VGTXkGg
        10
    N6D6j6ko0VGTXkGg  
       303 天前
    样式全乱了,加油
    N6D6j6ko0VGTXkGg
        11
    N6D6j6ko0VGTXkGg  
       303 天前
    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    kaixinwan  
    OP
       303 天前
    @japhetJiu 感谢反馈,图片解码图来的图裂了
    kaixinwan
        13
    kaixinwan  
    OP
       303 天前
    @xiao8276 移动端适配有问题
    249239432
        14
    249239432  
       302 天前
    你就直接说拿他模型搭建的不就完了,
    样本数据要么自己训练,要么用别人的,什么叫一些数据上微调?
    kaixinwan
        15
    kaixinwan  
    OP
       302 天前
    @249239432 你说的都对
    shuax
        16
    shuax  
       302 天前
    都 500 错误了也不提示,还在那儿 Loading...
    dianso
        17
    dianso  
       302 天前 via Android
    orc 不是兽族么,是 ocr 吧
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