uiufen 发表于 2023-8-28 22:08:22

请教一下,关于存储空间溢出,如何优化工程

请教一下,关于存储空间溢出,如何优化工程。

尝试了将原来图片跟gif图进行优化了一半,但是溢出从103%还身高到113%.

我是将图片压缩后,拿新的图片跟gif重新覆盖成旧图。然后编译。

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

请问有人知道是咋回事么?

优化工程一般是优化哪里的?

先谢谢了!

uiufen 发表于 2023-8-28 22:15:12

帖子里原本有截图的,不知道什么情况没出来。

关于报错字样,原本是提示“存储空间使用率103%,其中图片使用97%,....”

因为主要是图片占用内存,所以优化了图片,但是图片压缩后,编译发现存储空间使用率反而更大了。:L

uiufen 发表于 2023-8-28 22:16:51

有人遇到过这个问题么? 一般是怎么优化工程的。如能告知,感激不尽!

If后要接end 发表于 2023-8-29 08:50:43

工程属性里面看看把BMP格式换成jpg看看,jpeg的质量减小一点

uiufen 发表于 2023-8-29 22:53:30

If后要接end 发表于 2023-8-29 08:50
工程属性里面看看把BMP格式换成jpg看看,jpeg的质量减小一点

谢谢宝贵意见,我将动图跟图片压缩后,现在可以了,压缩动图后,空间利用率缩小到20%。




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查看完整版本: 请教一下,关于存储空间溢出,如何优化工程