使用DropBox SDK for Iphone从UIImageView上传图像 [英] Upload Image from UIImageView using DropBox SDK for Iphone

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本文介绍了使用DropBox SDK for Iphone从UIImageView上传图像的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我是iOS开发的初学者,刚刚开始使用DropBox SDK for iphone,我目前正在使用MacOSX 10.6版本,其上有Xcode 3.2.5(模拟器为4.2)。使用UIImagePickerController,我可以在UIImageView上显示一个选定的图像。现在,如果我想使用DropBox SDK上传该特定图像,我必须知道我的应用程序的路径,因为应用了以下代码

I am a beginner to iOS development and have just started working with the DropBox SDK for iphone, I am currently using the MacOSX 10.6 version having the Xcode 3.2.5 on it(the simulator is 4.2). Using UIImagePickerController, I could display a selected image on the UIImageView. Now if I want to upload that particular image using DropBox SDK, I have to know its path on my application, as the following code is applied

- (void)uploadFile:(NSString *)filename toPath:(NSString *)path fromPath:(NSString *)sourcePath

此方法是在DBRestClient.h中定义,来自DropBox SDK for iOS的库文件。但是从上面的方法声明中,需要确定UIImageView中存在的图像的fromPath以将其上传到我在dropbox上的帐户。能否帮助我确定如何确定路径,或者就此而言,可以适用的任何工作。

this method is defined in DBRestClient.h, a library file from the DropBox SDK for iOS. But as from the above declaration of the method, the "fromPath" of the image which is present in the UIImageView needs to be ascertained to upload it to my account on dropbox. Can you please help me in how to determine the path, or for that matter, any work around which can be applicable.

推荐答案

您必须先将文件写入文件系统:

You would have to write the file to the file system first:

NSData *data = UIImagePNGRepresentation(imageView.image);
NSString *file = [NSTemporaryDirectory() stringByAppendingPathComponent:@"upload.png"];

[data writeToFile:file atomically:YES];
[DBRestClient uploadFile:@"upload.png" toPath:@"Dropbox/Path" fromPath:file];

请注意,您也可以使用 .jpg ,更快,更压缩,只需将 UIImagePNGRepresentation 更改为 UIImageJPEGRepresentation ,并传递压缩值(0.8 - 0.9很好)

Note that you could use .jpg too, which is faster, and more compressed, just change UIImagePNGRepresentation to UIImageJPEGRepresentation, and pass a compression value (0.8 - 0.9 is good)

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