Converting a UIImage to jpeg/png file for sharing using AddThis Plug-in - objective-c

I want to convert a UIImage into a format such as a jpeg or png so that I can then share that file using the IOS plug-in called "AddThis".
I tried to share it using just the UIImage but the plug-in doesn't support it so I need to find a way to convert the UIImage to a jpeg first, then add it into this code:
[AddThisSDK shareImage:[UIImage imageNamed:#"test.jpg] withService:#"twitter" title:#"I'm sharing something" description:#"Random description of image"];
the code has to have shareImage:[UIImageNamed:#""] otherwise an error occurs.
So far I've tried to convert it using UIImageJPEGRepresentation but I don't think I've done it properly. To be honest I tried to do it similarly to how you'd convert it straight from taking an image:
NSString *jpgPath = [NSHomeDirectory() stringByAppendingPathComponent:#"photo_boom.jpg"];
[UIImageJPEGRepresentation(shareImage, 1.0) writeToFile:jpgPath atomically:YES];
NSError *error;
NSFileManager *fileMgr = [NSFileManager defaultManager];
NSString *documentsDirectory = [NSHomeDirectory() stringByAppendingPathComponent:#"photo_boom.jpg"];
NSLog(#"Documents directory: %#", [fileMgr contentsOfDirectoryAtPath:documentsDirectory error:&error]);
Something tells me this isn't the correct way... mainly because I haven't been able to get it to work.
I'd really appreciate any kind of help!
Basically, I've made a UIImage from converting a UIView:
UIGraphicsBeginImageContext(firstPage.bounds.size);
[firstPage.layer renderInContext:UIGraphicsGetCurrentContext()];
UIImage *image = UIGraphicsGetImageFromCurrentImageContext();
Which I then want to give a jpeg format because when I tried to simply put it in as
[AddThisSDK shareImage:image withService:#"twitter" title:#"I'm sharing something" description:#"Random description of image"];
It gives me an error

UIImage has its own internal representation of an image, so it's irrelevant whether you load it with jpeg or png data.
The API call you're interested has a UIImage as the first parameter, so something along the lines of
[AddThisSDK shareImage:[UIImage imageNamed:#"photo_boom.jpg"]
withService:#"twitter"
title:#"I'm sharing something"
description:#"Random description of image"];
should work, provided photo_boom.jpg is included in your bundle. If you're loading a previously saved image from a folder, you'll need something like this:
NSString *jpgPath = [NSHomeDirectory() stringByAppendingPathComponent:#"photo_boom.jpg"];
UIImage * myImage = [UIImage imageWithContentsOfFile: jpgPath];
[AddThisSDK shareImage:myImage
withService:#"twitter"
title:#"I'm sharing something"
description:#"Random description of image"];
If that doesn't work, have you tried putting a breakpoint on the AddThisSDK line, and checking the value of image? Type po image on the console.

Related

Load an image file to core data

I'm a new developer with objective c.
I have images stored in a folder on my computer and I want to insert it to my coredata, can someone please tell me how can I do so, cause I can't find the right way for this.
By the way its my first question so get mad on me :)
Thank you
You need an Entity:(b.e.: Photos), this entity need an attribute, with type is Binary Data. (b.e imageData.
Here the example to save and to show:
// Save the image.
UIImage *imageToSave;
NSManagedObject *newPhoto = [NSEntityDescription entityForName:#"Photo" inManagedObjectContext:yourManagedObjectContext];
NSData *imageData = UIImageJPEGRepresentation(imageEdited, 0.7);
[newPhoto setValue:imageData forKey:#"imageData"];
[yourManagedObjectContext save:&error];
// Sow the image
UIImage *image = [UIImage imageWithData:[newPhoto valueForKey:#"imageData"]];

Receiving an image as blob from server converting back to image with Objective-C fails

My service returns the following which is a blob representing an image:
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
In Oobjective-C I'm trying to convert it back to an image and I get exception, I even tried saving it to a file testing different extensions (png, jpg, jpeg, bmp) nothing worked the only way the file opens is with a txt extension.
How can I convert this blob into the image it should be?
That looks like Base64 encoded JPEG image data, so this should work:
NSString *b64String = #"/9j/4AAQSkZJRgABAQEASA ..."; // your string from the server
NSData *imageData = [[NSData alloc] initWithBase64EncodedString:b64String options:0];
UIImage *image = [UIImage imageWithData:imageData];
initWithBase64EncodedString is available since iOS 7.0. If you want to target
earlier iOS versions, you can use the following method instead:
NSData *imageData = [[NSData alloc] initWithBase64Encoding:b64String];

Convert data from URL into Image in iPhone

Here I'm working for static URL.
My Code :
NSURL *url = [[NSURL alloc] initWithString:#"http://cns.bu.edu/~lgrady/diagonal_line_nobreak_seg.jpg"];
NSData *myData = [NSData dataWithContentsOfURL:url];
img.image = [UIImage imageWithData:myData];
So, I can see image in ImageView.
But, While passing internal web-service URL.
And I'm getting data for Image in bytes from url instead of Image like below:
{"AppBanner":"data:image\/png;base64,iVBORw0KGgoAAAANSUhEUg.....VORK5CYII="}
But with help of above code, I can't convert this data into Image.
So how can I convert this data into image ?
Any Solution ?
Thanks in advance.
Use NSData-Base64 to convert base64 into NSData and then into UIImage
NSString *strBase64 = [yourResposeDict objectForKey:#"AppBanner"];
//decode strBase64 using NSData-Base64 library

TIFF image format for iphone application

I am working on iphone app and i need to save image into .tiff format.
It is possible to save image into png format using UIImagePNGRepresentation method and JPEG format using UIImageJPEGRepresentation. But i need to save signature captured by imageview into tiff format.
I unable to use NSImage class so that i can call TIFFRepresentation method.
How can i do it.Send me suggestion...
Thanks in advance...
I don't know what you mean by "captured by imageview". The means to save as TIFF wasn't introduced until iOS 4. Here is example code to save an arbitrary file as a TIFF; you can do this with any file-format data, no matter how you obtained it. You need to link to ImageIO framework and do #import <ImageIO/ImageIO.h>:
NSURL* url = [[NSBundle mainBundle] URLForResource:#"colson" withExtension:#"jpg"];
CGImageSourceRef src = CGImageSourceCreateWithURL((CFURLRef)url, NULL);
NSFileManager* fm = [[NSFileManager alloc] init];
NSURL* suppurl = [fm URLForDirectory:NSApplicationSupportDirectory
inDomain:NSUserDomainMask
appropriateForURL:nil
create:YES error:NULL];
NSURL* tiff = [suppurl URLByAppendingPathComponent:#"mytiff.tiff"];
CGImageDestinationRef dest = CGImageDestinationCreateWithURL((CFURLRef)tiff,
(CFStringRef)#"public.tiff", 1, NULL);
CGImageDestinationAddImageFromSource(dest, src, 0, NULL);
bool ok = CGImageDestinationFinalize(dest);
NSLog(#"result %i", ok); // 1, all went well
// and don't forget memory management, release source and destination, NSFileManager
[fm release]; CFRelease(src); CFRelease(dest);
Hmm, I don't develop for the iPhone, so can't tell you if there's a magic API way of doing this, but many years ago I had to create TIFF images manually.
The TIFF format is a bit whacky if you're used to just using a framework's CreateThisStuffAsAnImage() methods, but you can get the spec here and create the file yourself:
http://partners.adobe.com/public/developer/tiff/index.html#spec

Error saving NSImage as NSData

I am using the following code to save a frame of a movie to my desktop:
NSCIImageRep *imageRep = [NSCIImageRep imageRepWithCIImage:[CIImage imageWithCVImageBuffer:imageBuffer]];
NSImage *image = [[[NSImage alloc] initWithSize:[imageRep size]] autorelease];
[image addRepresentation:imageRep];
CVBufferRelease(imageBuffer);
NSArray *representations = [image representations];
NSData *bitmapData = [NSBitmapImageRep representationOfImageRepsInArray:representations usingType:NSJPEGFileType properties:nil];
[bitmapData writeToFile:#"/Users/ricky/Desktop/MyImage.jpeg" atomically:YES];
At the second last line of code, I receive the following messages in the console, with no result being saved to the desktop:
<Error>: CGImageDestinationFinalize image destination does not have enough images
CGImageDestinationFinalize failed for output type 'public.jpeg'
The NSImage is still an allocated object for the entire method call, so I'm not sure why I am receiving complaints about insufficient amount of images.
I'd appreciate any help.
Thanks in advance,
Ricky.
I think the source of the problem is that you're passing an array of NSCIImageRep objects to representationOfImageRepsInArray:usingType:properties:, which I believe expects an array of NSBitmapImageRep objects.
What you want to do is create an NSBitmapImageRep from your CIImage. Then you can use that to write to disk. That would be roughly:
CIImage *myImage = [CIImage imageWithCVImageBuffer:imageBuffer];
NSBitmapImageRep *bitmapRep = [[NSBitmapImageRep alloc] initWithCIImage:myImage];
NSData *jpegData [bitmapRep representationUsingType:NSJPEGFileType properties:nil];
[jpegData writeToFile:#"/Users/ricky/Desktop/MyImage.jpeg" atomically:YES];
Of course, you'd want to handle any error cases and probably pass a properties dictionary to fine-tune the JPEG creation.
I'm sorry i don't really know why your code doesn't work, but approaching it a different way (and i think more efficiently than your CVImageBuffer to CIImage to NSCIImageRep to NSImage to NSData, albeit at a slightly lower level):-
CVImageBuffer to CGImage
CGImage to jpg file
I don't have code ready made to do this but extracting the right stuff from those examples should be straight forward.