Warning: file_get_contents(/data/phpspider/zhask/data//catemap/5/objective-c/26.json): failed to open stream: No such file or directory in /data/phpspider/zhask/libs/function.php on line 167

Warning: Invalid argument supplied for foreach() in /data/phpspider/zhask/libs/tag.function.php on line 1116

Notice: Undefined index: in /data/phpspider/zhask/libs/function.php on line 180

Warning: array_chunk() expects parameter 1 to be array, null given in /data/phpspider/zhask/libs/function.php on line 181
Objective c 目的-C关于CIHistogramDisplayFilter的快速转换问题_Objective C_Xcode_Swift_Histogram_Ciimage - Fatal编程技术网

Objective c 目的-C关于CIHistogramDisplayFilter的快速转换问题

Objective c 目的-C关于CIHistogramDisplayFilter的快速转换问题,objective-c,xcode,swift,histogram,ciimage,Objective C,Xcode,Swift,Histogram,Ciimage,我用Objective-C显示了一个柱状图,这很好用。然而,我很难将其转换为Swift 目标-C //Show Histogram CVPixelBufferRef pixelBuffer = CMSampleBufferGetImageBuffer(sampleBuffer); CFDictionaryRef attachments = CMCopyDictionaryOfAttachments(kCFAllocatorDefault, sampleBuffer

我用Objective-C显示了一个柱状图,这很好用。然而,我很难将其转换为Swift

目标-C

//Show Histogram
        CVPixelBufferRef pixelBuffer = CMSampleBufferGetImageBuffer(sampleBuffer);
        CFDictionaryRef attachments = CMCopyDictionaryOfAttachments(kCFAllocatorDefault, sampleBuffer, kCMAttachmentMode_ShouldPropagate);
        CIImage *ciImage = [[CIImage alloc] initWithCVPixelBuffer:pixelBuffer options:(__bridge NSDictionary *)attachments];


        NSUInteger count = 256;
        count = count <= 256 ? count : 256;
        count = count >= 1 ? count : 1;


        NSDictionary *params = @{kCIInputImageKey: ciImage,
                                 kCIInputExtentKey: [CIVector vectorWithCGRect:[ciImage extent]],
                                 @"inputCount": @(256), @"inputScale": @(200)
                                 };

        CIFilter *filter = [CIFilter filterWithName:@"CIAreaHistogram"
                                withInputParameters:params];


        CIImage *outImage = [filter outputImage];
    //---------------------------------------------

        CIContext *context = [CIContext contextWithOptions:nil];

        NSDictionary *params2 = @{
                                  kCIInputImageKey: outImage
                                  };
        CIFilter *filter2 = [CIFilter filterWithName:@"CIHistogramDisplayFilter"
                                 withInputParameters:params2];

        CIImage *outputImage = [filter2 outputImage];
        CGRect outExtent = [outputImage extent];
        CGImageRef cgImage = [context createCGImage:outputImage
                                           fromRect:outExtent];

        UIImage *outImage2 = [UIImage imageWithCGImage:cgImage];
        CGImageRelease(cgImage);

        // resize
        UIImage *resized = [self resizeImage:outImage2
                                 withQuality:kCGInterpolationNone
                                        rate:2.5];
        //Remove the default grey background
        resized = [self removeColorFromImage:resized grayLevel:137];

        dispatch_async(dispatch_get_main_queue(),
        ^{
            self.histogramView.image = resized;
        });
最后一行给出了错误:

Argument labels '(cVPixelBuffer:, options:)' do not match any available overloads
//显示直方图——Swift版本
var pixelBuffer:CVPixelBufferRef=CMSampleBufferGetImageBuffer(sampleBuffer)!
变量附件:CFDictionaryRef=CMCopyDictionaryOfAttachments(kCFAllocatorDefault、sampleBuffer、kCMAttachmentMode_ShouldPropagate)!
var ciImage:ciImage=ciImage(CVPixelBuffer:pixelBuffer,选项:附件为?[String:AnyObject])
变量计数=256
计数=计数=1?计数:1
设params=[kCIInputImageKey:ciImage,
kCIInputExtentKey:CIVector.init(CGRect:ciImage.extent),
“输入计数”:256,“输入比例”:200]
让筛选器:CIFilter!=CIFilter(名称:“CIAreaHistogram”,带输入参数:params)
让输出图像:CIImage=(过滤器?.outputImage)!
//---------------------------------------------
let context:CIContext=CIContext(选项:nil)
设params2=[kCIInputImageKey:outImage]
let filter2=CIFilter(名称:“CIHistogramDisplayFilter”,输入参数:params2)
让outputImage:CIImage=filter2!。输出图像!
让outExtent:CGRect=outputImage.extent
让cgImage:CGImageRef=context.createCGImage(outputImage,fromRect:outExtent)
让outImage2:UIImage=UIImage(CGImage:CGImage)
//调整大小
设置大小:UIImage=self.resizeImage(outImage2,带质量:cg插值。无,速率:2.5)
//删除默认的灰色背景
resized=self.removeColorFromImage(已调整大小,灰度:137)
dispatch\u async(dispatch\u get\u main\u queue()){
self.historogramview.image=已调整大小
}

按⇧⌘O(O不是零),然后
CIIma
,然后
return
然后检查init方法的拼写。您有一个输入错误:使用
CVPixelBuffer
,而不是
CVPixelBuffer
@gizmodo,您尝试过我的转换吗?工作得很好!非常感谢。工作完美!非常感谢。
Argument labels '(cVPixelBuffer:, options:)' do not match any available overloads
//Show Histogram -- Swift version
    var pixelBuffer: CVPixelBufferRef = CMSampleBufferGetImageBuffer(sampleBuffer)!
    var attachments: CFDictionaryRef = CMCopyDictionaryOfAttachments(kCFAllocatorDefault, sampleBuffer, kCMAttachmentMode_ShouldPropagate)!
    var ciImage: CIImage = CIImage(CVPixelBuffer: pixelBuffer, options: attachments as? [String : AnyObject])

    var count = 256
    count = count <= 256 ? count : 256
    count = count >= 1 ? count : 1

    let params = [kCIInputImageKey: ciImage,
        kCIInputExtentKey:CIVector.init(CGRect: ciImage.extent),
        "inputCount":256, "inputScale":200]

    let filter:CIFilter! = CIFilter(name: "CIAreaHistogram" , withInputParameters: params)


    let outImage: CIImage = (filter?.outputImage)!
    //---------------------------------------------

    let context:CIContext = CIContext(options: nil)

    let params2 = [kCIInputImageKey: outImage]


    let filter2 = CIFilter(name: "CIHistogramDisplayFilter",withInputParameters: params2)

    let outputImage:CIImage = filter2!.outputImage!
    let outExtent:CGRect = outputImage.extent

    let cgImage:CGImageRef = context.createCGImage(outputImage, fromRect: outExtent)

    let outImage2:UIImage = UIImage(CGImage: cgImage)

    // resize

    let resized:UIImage = self.resizeImage(outImage2,withQuality:CGInterpolation.None,rate:2.5)

    //Remove the default grey background

    resized = self.removeColorFromImage(resized, grayLevel:137)


    dispatch_async(dispatch_get_main_queue()) {
        self.histogramView.image = resized
    }