使用相机的 UIImagePickerController 出现严重内存问题
我注意到，当我加载 UIImagePickerController 并用它拍照时，会调用 didReceiveMemoryWarning 。另外，在 Instruments 中，存在严重的内存泄漏（不是我造成的，我发誓！）。我听说这是 UIImagePickerController 的问题，但是我不知道如何解决它。这是我的 UIImagePickerController 实现。
UIImagePickerController *imagePicker = [[UIImagePickerController alloc] init]; // Create the imagePicker
imagePicker.delegate = self;
imagePicker.allowsEditing = YES; // Allow editing of the images
imagePicker.sourceType = UIImagePickerControllerSourceTypeCamera;
[self presentModalViewController:imagePicker animated:YES];
[imagePicker release];
有什么想法吗？我真的不想牺牲这么有用的功能。
I've noticed that when I load a UIImagePickerController and I take a picture with it, didReceiveMemoryWarning is called. Also, in Instruments, there is a significant memory leak (not by me, I swear!). I've heard that this is a problem with UIImagePickerController but, I'm not sure how to fix it. Here is my implementation of UIImagePickerController.
UIImagePickerController *imagePicker = [[UIImagePickerController alloc] init]; // Create the imagePicker
imagePicker.delegate = self;
imagePicker.allowsEditing = YES; // Allow editing of the images
imagePicker.sourceType = UIImagePickerControllerSourceTypeCamera;
[self presentModalViewController:imagePicker animated:YES];
[imagePicker release];
Any ideas? I really don't want to sacrifice such a useful feature.
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SDK 3.2 有同样的泄漏吗？
我在使用 UIImagePickerController 拍摄视频时也遇到了类似的泄漏。
当我发现泄漏在 3.2 中得到修复时，我决定将应用程序的最低操作系统版本设置为 3.2。
关于内存警告，这是可以预料的。相机需要大量内存来完成其工作，并且只是通过发送 didReceiveMemoryWarning 消息向您的应用程序请求尽可能多的内存。
Do you have the same leak with the SDK 3.2?
I had a similar leak when using the UIImagePickerController to take a video.
When I found that the leak was fixed in 3.2, I decided to set the minimum OS version of my application to 3.2.
About the memory warning, it's to be expected. The camera needs a lot of memory to do its job, and is simply requesting as much memory as possible from your app by sending a didReceiveMemoryWarning message.
您需要将图像重新调整为较小的尺寸，例如 320x460。然后就可以成功运行了。
You need to rescale the image to a smaller size, say 320x460. Then it will run successfully.