swift通过摄像头读取每一帧的图片,并且做识别做人脸识别
最近帮别人做一个项目,主要是使用摄像头做人脸识别
github地址:https://github.com/qugang/AVCaptureVideoTemplate
要使用IOS的摄像头,需要使用AVFoundation 库,库里面的东西我就不介绍。
启动摄像头需要使用AVCaptureSession 类。
然后得到摄像头传输的每一帧数据,需要使用AVCaptureVideoDataOutputSampleBufferDelegate 委托。
首先在viewDidLoad 里添加找摄像头设备的代码,找到摄像头设备以后,开启摄像头
1
2
3
4
5
6
7
8
9
10
11
12
13
|
captureSession.sessionPreset = AVCaptureSessionPresetLow let devices = AVCaptureDevice.devices() for device in devices { if (device.hasMediaType(AVMediaTypeVideo)) { if (device.position == AVCaptureDevicePosition.Front) { captureDevice = device as?AVCaptureDevice if captureDevice != nil { println( "Capture Device found" ) beginSession() } } } } |
beginSession,开启摄像头:
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
|
func beginSession() { var err : NSError? = nil captureSession.addInput(AVCaptureDeviceInput(device: captureDevice, error: &err)) let output = AVCaptureVideoDataOutput() let cameraQueue = dispatch_queue_create( "cameraQueue" , DISPATCH_QUEUE_SERIAL) output.setSampleBufferDelegate(self, queue: cameraQueue) output.videoSettings = [kCVPixelBufferPixelFormatTypeKey: kCVPixelFormatType_32BGRA] captureSession.addOutput(output) if err != nil { println( "error: \(err?.localizedDescription)" ) } previewLayer = AVCaptureVideoPreviewLayer(session: captureSession) previewLayer?.videoGravity = "AVLayerVideoGravityResizeAspect" previewLayer?.frame = self.view.bounds self.view.layer.addSublayer(previewLayer) captureSession.startRunning() } |
开启以后,实现captureOutput 方法:
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
|
func captureOutput(captureOutput: AVCaptureOutput!, didOutputSampleBuffer sampleBuffer: CMSampleBuffer!, fromConnection connection: AVCaptureConnection!) { if (self.isStart) { let resultImage = sampleBufferToImage(sampleBuffer) let context = CIContext(options:[kCIContextUseSoftwareRenderer: true ]) let detecotr = CIDetector(ofType:CIDetectorTypeFace, context:context, options:[CIDetectorAccuracy: CIDetectorAccuracyHigh]) let ciImage = CIImage(image: resultImage) let results:NSArray = detecotr.featuresInImage(ciImage,options: [ "CIDetectorImageOrientation" : 6]) for r in results { let face:CIFaceFeature = r as! CIFaceFeature; let faceImage = UIImage(CGImage: context.createCGImage(ciImage, fromRect: face.bounds),scale: 1.0, orientation: .Right) NSLog( "Face found at (%f,%f) of dimensions %fx%f" , face.bounds.origin.x, face.bounds.origin.y,pickUIImager.frame.origin.x, pickUIImager.frame.origin.y) dispatch_async(dispatch_get_main_queue()) { if (self.isStart) { self.dismissViewControllerAnimated( true , completion: nil) self.didReceiveMemoryWarning() self.callBack!(face: faceImage!) } self.isStart = false } } } } |
在每一帧图片上使用CIDetector 得到人脸,CIDetector 还可以得到眨眼,与微笑的人脸,如果要详细使用去官方查看API
上面就是关键代码,设置了有2秒的延迟,2秒之后开始人脸检测。
全部代码:
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
|
// // ViewController.swift // AVSessionTest // // Created by qugang on 15/7/8. // Copyright (c) 2015年 qugang. All rights reserved. // import UIKit import AVFoundation class AVCaptireVideoPicController: UIViewController,AVCaptureVideoDataOutputSampleBufferDelegate { var callBack :((face: UIImage) ->())? let captureSession = AVCaptureSession() var captureDevice : AVCaptureDevice? var previewLayer : AVCaptureVideoPreviewLayer? var pickUIImager : UIImageView = UIImageView(image: UIImage(named: "pick_bg" )) var line : UIImageView = UIImageView(image: UIImage(named: "line" )) var timer : NSTimer! var upOrdown = true var isStart = false override func viewDidLoad() { super.viewDidLoad() captureSession.sessionPreset = AVCaptureSessionPresetLow let devices = AVCaptureDevice.devices() for device in devices { if (device.hasMediaType(AVMediaTypeVideo)) { if (device.position == AVCaptureDevicePosition.Front) { captureDevice = device as?AVCaptureDevice if captureDevice != nil { println( "Capture Device found" ) beginSession() } } } } pickUIImager.frame = CGRect(x: self.view.bounds.width / 2 - 100, y: self.view.bounds.height / 2 - 100,width: 200,height: 200) line.frame = CGRect(x: self.view.bounds.width / 2 - 100, y: self.view.bounds.height / 2 - 100, width: 200, height: 2) self.view.addSubview(pickUIImager) self.view.addSubview(line) timer = NSTimer.scheduledTimerWithTimeInterval(0.01, target: self, selector: "animationSate" , userInfo: nil, repeats: true ) NSTimer.scheduledTimerWithTimeInterval(2, target: self, selector: "isStartTrue" , userInfo: nil, repeats: false ) } func isStartTrue(){ self.isStart = true } override func didReceiveMemoryWarning(){ super.didReceiveMemoryWarning() captureSession.stopRunning() } func animationSate(){ if upOrdown { if (line.frame.origin.y >= pickUIImager.frame.origin.y + 200) { upOrdown = false } else { line.frame.origin.y += 2 } } else { if (line.frame.origin.y <= pickUIImager.frame.origin.y) { upOrdown = true } else { line.frame.origin.y -= 2 } } } func beginSession() { var err : NSError? = nil captureSession.addInput(AVCaptureDeviceInput(device: captureDevice, error: &err)) let output = AVCaptureVideoDataOutput() let cameraQueue = dispatch_queue_create( "cameraQueue" , DISPATCH_QUEUE_SERIAL) output.setSampleBufferDelegate(self, queue: cameraQueue) output.videoSettings = [kCVPixelBufferPixelFormatTypeKey: kCVPixelFormatType_32BGRA] captureSession.addOutput(output) if err != nil { println( "error: \(err?.localizedDescription)" ) } previewLayer = AVCaptureVideoPreviewLayer(session: captureSession) previewLayer?.videoGravity = "AVLayerVideoGravityResizeAspect" previewLayer?.frame = self.view.bounds self.view.layer.addSublayer(previewLayer) captureSession.startRunning() } func captureOutput(captureOutput: AVCaptureOutput!, didOutputSampleBuffer sampleBuffer: CMSampleBuffer!, fromConnection connection: AVCaptureConnection!) { if (self.isStart) { let resultImage = sampleBufferToImage(sampleBuffer) let context = CIContext(options:[kCIContextUseSoftwareRenderer: true ]) let detecotr = CIDetector(ofType:CIDetectorTypeFace, context:context, options:[CIDetectorAccuracy: CIDetectorAccuracyHigh]) let ciImage = CIImage(image: resultImage) let results:NSArray = detecotr.featuresInImage(ciImage,options: [ "CIDetectorImageOrientation" : 6]) for r in results { let face:CIFaceFeature = r as! CIFaceFeature; let faceImage = UIImage(CGImage: context.createCGImage(ciImage, fromRect: face.bounds),scale: 1.0, orientation: .Right) NSLog( "Face found at (%f,%f) of dimensions %fx%f" , face.bounds.origin.x, face.bounds.origin.y,pickUIImager.frame.origin.x, pickUIImager.frame.origin.y) dispatch_async(dispatch_get_main_queue()) { if (self.isStart) { self.dismissViewControllerAnimated( true , completion: nil) self.didReceiveMemoryWarning() self.callBack!(face: faceImage!) } self.isStart = false } } } } private func sampleBufferToImage(sampleBuffer: CMSampleBuffer!) -> UIImage { let imageBuffer: CVImageBufferRef = CMSampleBufferGetImageBuffer(sampleBuffer) CVPixelBufferLockBaseAddress(imageBuffer, 0) let baseAddress = CVPixelBufferGetBaseAddressOfPlane(imageBuffer, 0) let bytesPerRow = CVPixelBufferGetBytesPerRow(imageBuffer) let width = CVPixelBufferGetWidth(imageBuffer) let height = CVPixelBufferGetHeight(imageBuffer) let colorSpace: CGColorSpaceRef = CGColorSpaceCreateDeviceRGB() let bitsPerCompornent = 8 var bitmapInfo = CGBitmapInfo((CGBitmapInfo.ByteOrder32Little.rawValue | CGImageAlphaInfo.PremultipliedFirst.rawValue) as UInt32) let newContext = CGBitmapContextCreate(baseAddress, width, height, bitsPerCompornent, bytesPerRow, colorSpace, bitmapInfo) as CGContextRef let imageRef: CGImageRef = CGBitmapContextCreateImage(newContext) let resultImage = UIImage(CGImage: imageRef, scale: 1.0, orientation: UIImageOrientation.Right)! return resultImage } func imageResize (imageObj:UIImage, sizeChange:CGSize)-> UIImage{ let hasAlpha = false let scale: CGFloat = 0.0 UIGraphicsBeginImageContextWithOptions(sizeChange, !hasAlpha, scale) imageObj.drawInRect(CGRect(origin: CGPointZero, size: sizeChange)) let scaledImage = UIGraphicsGetImageFromCurrentImageContext() return scaledImage } } |
swift通过摄像头读取每一帧的图片,并且做识别做人脸识别的更多相关文章
- OpenCV摄像头人脸识别
注: 从外设摄像装置中获取图像帧,把每帧的图片与人脸特征进行匹配,用方框框住识别出来的人脸 需要用到的函数: CvHaarClassifierCascade* cvLoadHaarClassifier ...
- 基于OpenCV读取摄像头进行人脸检测和人脸识别
前段时间使用OpenCV的库函数实现了人脸检测和人脸识别,笔者的实验环境为VS2010+OpenCV2.4.4,opencv的环境配置网上有很多,不再赘述.检测的代码网上很多,记不清楚从哪儿copy的 ...
- QQ摄像头读取条码
跟我学机器视觉-HALCON学习例程中文详解-QQ摄像头读取条码 第一步:插入QQ摄像头,安装好驱动(有的可能免驱动) 第二步:打开HDevelop,点击助手—打开新的Image Acquisitio ...
- 跟我学机器视觉-HALCON学习例程中文详解-QQ摄像头读取条码
跟我学机器视觉-HALCON学习例程中文详解-QQ摄像头读取条码 第一步:插入QQ摄像头,安装好驱动(有的可能免驱动) 第二步:打开HDevelop,点击助手-打开新的Image Acquisitio ...
- opencv摄像头读取图片
# 摄像头捕获图像或视频import numpy as np import cv2 # 创建相机的对象 cap = cv2.VideoCapture(0) while(True): # 读取相机所拍到 ...
- Opencv摄像头实时人脸识别
Introduction 网上存在很多人脸识别的文章,这篇文章是我的一个作业,重在通过摄像头实时采集人脸信息,进行人脸检测和人脸识别,并将识别结果显示在左上角. 利用 OpenCV 实现一个实时的人脸 ...
- Python3利用Dlib19.7实现摄像头人脸识别的方法
0.引言 利用python开发,借助Dlib库捕获摄像头中的人脸,提取人脸特征,通过计算欧氏距离来和预存的人脸特征进行对比,达到人脸识别的目的: 可以自动从摄像头中抠取人脸图片存储到本地,然后提取构建 ...
- matlab使用摄像头人脸识别
#关于matlab如何读取图片.视频.摄像头设备数据# 参见:http://blog.csdn.net/u010177286/article/details/45646173 但是,关于摄像头读取,上 ...
- OpenCV视频读取播放,视频转换为图片
转载请注明出处!!! http://blog.csdn.net/zhonghuan1992 OpenCV视频读取播放,视频转换为图片 介绍几个有关视频读取的函数: VideoCapture::Vide ...
随机推荐
- [置顶] LOAD语句:利用MSSQL中的xp_cmdshell功能,将指定文件夹下的指定文件,生成mysql的LOAD语句
LOAD语句:利用MSSQL中的xp_cmdshell功能,将指定文件夹下的指定文件,生成mysql的LOAD语句 declare @sql varchar(4000), @dirpath varch ...
- HTML5 本地裁剪图片并上传至服务器(转)
很多情况下用户上传的图片都需要经过裁剪,比如头像啊什么的.但以前实现这类需求都很复杂,往往需要先把图片上传到服务器,然后返回给用户,让用户确定裁剪坐标,发送给服务器,服务器裁剪完再返回给用户,来回需要 ...
- feel倍儿爽
今天装的360,在卸载就要权限,在自己的电脑卸载360还要权限,真是一物降一物,安装了个牛逼的卸载软件就卸载了
- SQL server sysobjects表说明
sysobjects 表 在数据库内创建的每个对象(约束.默认值.日志.规则.存储过程等)在表中占一行.只有在 tempdb 内,每个临时对象才在该表中占一行. sysobjects 表结构: 列名 ...
- 在 Xcode中 修改文件中自动创建的Created by和Copyright
在Xcode里创建的时候,会自动生成注释 // Created byxxx on 15/7/10. // Copyright (c) 2015年 xxxx. All rights reserved ...
- MySql移植到嵌入式Linux平台
最近在做考勤机系统,硬件采用的cortex-A8,哈哈,其实是有点浪费的,2410就可以的.所以就要考虑到考勤数据的存储问题,本来是打算用sqlite数据库存储的,可是后来发现,这个数据库只是一个本地 ...
- 使用JavaScript判断图片是否加载完成的三种实现方式
有时需要获取图片的尺寸,这需要在图片加载完成以后才可以.有三种方式实现,下面一一介绍. 一.load事件 <!DOCTYPE HTML> <html> <head> ...
- 不用图片,纯Css3实现超酷的类似iphone的玻璃气泡效果
最近在一个私活做手机项目时候,需要实现一个类似ios 6中短信那样的气泡效果. 这里分享下实现心得,希望能给大家一点启发. 首先分析下iphone的气泡效果有一下特点 1. 四面圆角 2. 界面上向下 ...
- sshfs远程文件系统挂载
注意:转载请注明出处: http://www.programfish.com/blog/?p=145 sshfs简介: 一种通过SSH协议访问远程文件系统的用户空间文件系统.可以把远程主机上的文件系统 ...
- php 实现传入参数的传出
类似于.net的out功能,php中可以使用&实现 如下示例: <?php$x=2; inOutFunction($x); function inOutFunction(&$x) ...