在使用图像干预裁剪后,我试图将base64图像存储到存储中。当我使用图像干预时遇到错误,但是当我尝试在解码后存储图像时,它会起作用:
属性 $ profile_picture 具有以下值:
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"
在图像干预下:
$base64_decoded_picture = base64_decode(explode(',', $profile_picture)[1]);
// create new image instance from base64 source
$profile_picture_intervention = Image::make($base64_decoded_picture);
// crop image
$profile_picture_intervention->crop(150, 150);
dd($profile_picture_intervention);
以下输出:
当我继续将图片保存到存储中时无需进行图像干预,它就可以很好地保存图像:
Storage::disk('public')->put( $directory.$filename, $base64_decoded_picture);
任何帮助将不胜感激!
谢谢!
PS:数据通过axios“发布”请求发布