xcode 如何在iphone应用程序中进行图像识别
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how to do image recognition in iphone apps
提问by ratnasomu
Possible Duplicate:
An iPhone library for shape recognition via the camera
可能的重复：
通过相机进行形状识别的 iPhone 库
I am iPhone mobile apps developer and am looking for image recognition libraries to integrate in one of my App which should work like google's goggle functionality .
我是 iPhone 移动应用程序开发人员，正在寻找图像识别库以集成到我的应用程序之一中，该应用程序应该像谷歌的护目镜功能一样工作。
I saw https://www.iqengines.com/and downlaoded its ios sdk and it worked well . But its not free version . I am searching for open source sdk .
我看到了https://www.iqengines.com/并下载了它的 ios sdk，它运行良好。但它不是免费版本。我正在寻找开源 sdk 。
also how opencv useful in accomplishing this ? beacuse some of the sources redirecting to openCV .
opencv 在实现这个方面也有多大用处？因为一些源重定向到 openCV 。
Please let me know if any one come across this . Thanks
如果有人遇到此问题，请告诉我。谢谢
回答by Olotiar
Yes, OpenCV works on iOS and will provide you with a good library of tools to use. You can either build your own .framework(a bit tiresome) or download one of the internet.
是的，OpenCV 可以在 iOS 上运行，并且会为您提供一个很好的工具库来使用。您可以构建自己的.framework（有点烦人）或下载一个互联网。
- To build one, refer to this OpenCV guide
- If you want to download a pre-built framework, head over there
- 要构建一个，请参阅此 OpenCV 指南
- 如果你想下载一个预先构建的框架，去那里
After that, you should be able to build computer vision software on iOS, be careful though, image processing can take a lot of power and memory.
之后，您应该能够在 iOS 上构建计算机视觉软件，但请注意，图像处理可能会占用大量电源和内存。
OpenCV has its own C++ classes for images, you will probably need to convert them back and forth to UIImagefor input and displaying
OpenCV 有自己的 C++ 图像类，您可能需要将它们来回转换UIImage为输入和显示
I leave here this piece of code I use for NSImage, you should find enough for you to change a bit the code for UIImage
我把这段代码留在这里NSImage，你应该找到足够的代码来改变一下UIImage
//
// NSImage+OpenCV.h
//
#import <AppKit/AppKit.h>
@interface NSImage (NSImage_OpenCV) {
}
+(NSImage*)imageWithCVMat:(const cv::Mat&)cvMat;
-(id)initWithCVMat:(const cv::Mat&)cvMat;
@property(nonatomic, readonly) cv::Mat CVMat;
@property(nonatomic, readonly) cv::Mat CVGrayscaleMat;
@end
And
和
//
// NSImage+OpenCV.mm
//
#import "NSImage+OpenCV.h"
static void ProviderReleaseDataNOP(void *info, const void *data, size_t size)
{
return;
}
@implementation NSImage (NSImage_OpenCV)
-(CGImageRef)CGImage
{
CGContextRef bitmapCtx = CGBitmapContextCreate(NULL/*data - pass NULL to let CG allocate the memory*/,
[self size].width,
[self size].height,
8 /*bitsPerComponent*/,
0 /*bytesPerRow - CG will calculate it for you if it's allocating the data. This might get padded out a bit for better alignment*/,
[[NSColorSpace genericRGBColorSpace] CGColorSpace],
kCGBitmapByteOrder32Host|kCGImageAlphaPremultipliedFirst);
[NSGraphicsContext saveGraphicsState];
[NSGraphicsContext setCurrentContext:[NSGraphicsContext graphicsContextWithGraphicsPort:bitmapCtx flipped:NO]];
[self drawInRect:NSMakeRect(0,0, [self size].width, [self size].height) fromRect:NSZeroRect operation:NSCompositeCopy fraction:1.0];
[NSGraphicsContext restoreGraphicsState];
CGImageRef cgImage = CGBitmapContextCreateImage(bitmapCtx);
CGContextRelease(bitmapCtx);
return cgImage;
}
-(cv::Mat)CVMat
{
CGImageRef imageRef = [self CGImage];
CGColorSpaceRef colorSpace = CGImageGetColorSpace(imageRef);
CGFloat cols = self.size.width;
CGFloat rows = self.size.height;
cv::Mat cvMat(rows, cols, CV_8UC4); // 8 bits per component, 4 channels
CGContextRef contextRef = CGBitmapContextCreate(cvMat.data, // Pointer to backing data
cols, // Width of bitmap
rows, // Height of bitmap
8, // Bits per component
cvMat.step[0], // Bytes per row
colorSpace, // Colorspace
kCGImageAlphaNoneSkipLast |
kCGBitmapByteOrderDefault); // Bitmap info flags
CGContextDrawImage(contextRef, CGRectMake(0, 0, cols, rows), imageRef);
CGContextRelease(contextRef);
CGImageRelease(imageRef);
return cvMat;
}
-(cv::Mat)CVGrayscaleMat
{
CGImageRef imageRef = [self CGImage];
CGColorSpaceRef colorSpace = CGColorSpaceCreateDeviceGray();
CGFloat cols = self.size.width;
CGFloat rows = self.size.height;
cv::Mat cvMat = cv::Mat(rows, cols, CV_8UC1); // 8 bits per component, 1 channel
CGContextRef contextRef = CGBitmapContextCreate(cvMat.data, // Pointer to backing data
cols, // Width of bitmap
rows, // Height of bitmap
8, // Bits per component
cvMat.step[0], // Bytes per row
colorSpace, // Colorspace
kCGImageAlphaNone |
kCGBitmapByteOrderDefault); // Bitmap info flags
CGContextDrawImage(contextRef, CGRectMake(0, 0, cols, rows), imageRef);
CGContextRelease(contextRef);
CGColorSpaceRelease(colorSpace);
CGImageRelease(imageRef);
return cvMat;
}
+ (NSImage *)imageWithCVMat:(const cv::Mat&)cvMat
{
return [[[NSImage alloc] initWithCVMat:cvMat] autorelease];
}
- (id)initWithCVMat:(const cv::Mat&)cvMat
{
NSData *data = [NSData dataWithBytes:cvMat.data length:cvMat.elemSize() * cvMat.total()];
CGColorSpaceRef colorSpace;
if (cvMat.elemSize() == 1)
{
colorSpace = CGColorSpaceCreateDeviceGray();
}
else
{
colorSpace = CGColorSpaceCreateDeviceRGB();
}
CGDataProviderRef provider = CGDataProviderCreateWithCFData((__bridge CFDataRef)data);
CGImageRef imageRef = CGImageCreate(cvMat.cols, // Width
cvMat.rows, // Height
8, // Bits per component
8 * cvMat.elemSize(), // Bits per pixel
cvMat.step[0], // Bytes per row
colorSpace, // Colorspace
kCGImageAlphaNone | kCGBitmapByteOrderDefault, // Bitmap info flags
provider, // CGDataProviderRef
NULL, // Decode
false, // Should interpolate
kCGRenderingIntentDefault); // Intent
NSBitmapImageRep *bitmapRep = [[NSBitmapImageRep alloc] initWithCGImage:imageRef];
NSImage *image = [[NSImage alloc] init];
[image addRepresentation:bitmapRep];
CGImageRelease(imageRef);
CGDataProviderRelease(provider);
CGColorSpaceRelease(colorSpace);
return image;
}
@end
(source)
（来源）
