Comments (13)
@LynnGuo666 目前没有,可以考虑做一个自定义导入
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@syoulo 如果你能找到开源的实现,当然可以加
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原来如此。看来还是很困难的啊。我以为那个截图识别干员词条的难度跟这个差不多。。谢谢回复!
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@syoulo 识别词条是纯粹的文字识别,有很多现成的服务,而识别仓库需要识别图像,估计要自己写算法……
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话说这些素材图案都是确定的,训练的样本也需要很多吗?是不是各种分辨率的手机上面都截一张图当成样本库就够了。?我今天去了解了一下pytorch不知道我能不能靠自学训练一个network出来。要是成功了能让我加入这个项目吗😳
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工作量可能挺大的🤔
如果能搞出来的话当然非常欢迎将这个功能加到工具箱里
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这个功能是有的,可以看这个开源的仓库https://github.com/GachaSalt/ArkToolDemo/tree/master/img
页面是https://gachasalt.github.io/ArkToolDemo/#/image
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@LynnGuo666 这个仓库只是一个 dist,即可部署的网站成品,代码是经过压缩打包的,没有源码的话就无法移植过来
也就是说该工具箱实际上没有开源,我翻了翻该作者的仓库列表也没有找到相关开源,不过倒是有 py 写的开源
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那试着把这个网站成品修改一部分然后进行移植呢
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@LynnGuo666 做不到,而且由于没有 map,连想找到这部分功能的代码在哪里都做不到
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那可以使用类似于[{"name":"炽合金块","need":0,"have":2},{"name":"炽合金","need":0,"have":15}]这种格式导入吗
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这个也是可以,然后通过其他平台的识别数据进行导入(曲线救国吧),我一会看看能不能找到代码区
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已实装
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