文章实时采集(具体内容如下新接到一个实时获取*敏*感*词*当前照片的详细介绍)

　　文章实时采集(具体内容如下新接到一个实时获取*敏*感*词*当前照片的详细介绍)

　　本文文章主要为大家介绍iOS中*敏*感*词*的实时采集图像。文章中的示例代码很详细，有一定的参考价值。有兴趣的朋友可以参考一下。

　　本文示例分享了iOS中*敏*感*词*实时采集图像的具体代码，供大家参考。具体内容如下

　　接收到新的实时获取相机当前照片的请求，需要在设定的时间内使相机保持开机状态，可以实时回调当前图片数据信息；

　　这次结合了 AVCaptureDevice、AVCaptureSession、AVCaptureVideoPreviewLayer 和 UIView、UIImageView 和 UIImage；

　　GitHub

　　具体实现代码如下：

　　 #import #import #import #import NS_ASSUME_NONNULL_BEGIN @interface YHCameraView : UIView @property (nonatomic, weak) UIImageView *cameraImageView; @property (strong, nonatomic) AVCaptureDevice* device; @property (strong, nonatomic) AVCaptureSession* captureSession; @property (strong, nonatomic) AVCaptureVideoPreviewLayer* previewLayer; @property (strong, nonatomic) UIImage* cameraImage; @end NS_ASSUME_NONNULL_END

　　 #import "YHCameraView.h" @implementation YHCameraView - (instancetype)initWithFrame:(CGRect)frame { if (self = [super initWithFrame:frame]) { self.backgroundColor = [UIColor lightGrayColor]; [self createUI]; } return self; } /* // Only override drawRect: if you perform custom drawing. // An empty implementation adversely affects performance during animation. - (void)drawRect:(CGRect)rect { // Drawing code } */ - (void)createUI { NSArray* devices = [AVCaptureDevice devicesWithMediaType:AVMediaTypeVideo]; for(AVCaptureDevice *device in devices) { if([device position] == AVCaptureDevicePositionFront) // 前置*敏*感*词* self.device = device; } AVCaptureDeviceInput* input = [AVCaptureDeviceInput deviceInputWithDevice:self.device error:nil]; AVCaptureVideoDataOutput* output = [[AVCaptureVideoDataOutput alloc] init]; output.alwaysDiscardsLateVideoFrames = YES; dispatch_queue_t queue; queue = dispatch_queue_create("cameraQueue", NULL); [output setSampleBufferDelegate:self queue:queue]; NSString* key = (NSString *) kCVPixelBufferPixelFormatTypeKey; NSNumber* value = [NSNumber numberWithUnsignedInt:kCVPixelFormatType_32BGRA]; NSDictionary* videoSettings = [NSDictionary dictionaryWithObject:value forKey:key]; [output setVideoSettings:videoSettings]; self.captureSession = [[AVCaptureSession alloc] init]; [self.captureSession addInput:input]; [self.captureSession addOutput:output]; [self.captureSession setSessionPreset:AVCaptureSessionPresetPhoto]; self.previewLayer = [AVCaptureVideoPreviewLayer layerWithSession:self.captureSession]; self.previewLayer.videoGravity = AVLayerVideoGravityResizeAspectFill; // CHECK FOR YOUR APP NSInteger screenWidth = self.frame.size.width; NSInteger screenHeitht = self.frame.size.height; self.previewLayer.frame = self.bounds; self.previewLayer.orientation = AVCaptureVideoOrientationPortrait; // CHECK FOR YOUR APP // [self.layer insertSublayer:self.previewLayer atIndex:0]; // Comment-out to hide preview layer [self.captureSession startRunning]; } - (void)captureOutput:(AVCaptureOutput *)captureOutput didOutputSampleBuffer:(CMSampleBufferRef)sampleBuffer fromConnection:(AVCaptureConnection *)connection { CVImageBufferRef imageBuffer = CMSampleBufferGetImageBuffer(sampleBuffer); CVPixelBufferLockBaseAddress(imageBuffer, 0); uint8_t *baseAddress = (uint8_t *)CVPixelBufferGetBaseAddress(imageBuffer); size_t bytesPerRow = CVPixelBufferGetBytesPerRow(imageBuffer); size_t width = CVPixelBufferGetWidth(imageBuffer); size_t height = CVPixelBufferGetHeight(imageBuffer); CGColorSpaceRef colorSpace = CGColorSpaceCreateDeviceRGB(); CGContextRef newContext = CGBitmapContextCreate(baseAddress, width, height, 8, bytesPerRow, colorSpace, kCGBitmapByteOrder32Little | kCGImageAlphaPremultipliedFirst); CGImageRef newImage = CGBitmapContextCreateImage(newContext); CGContextRelease(newContext); CGColorSpaceRelease(colorSpace); self.cameraImage = [UIImage imageWithCGImage:newImage scale:1.0f orientation:UIImageOrientationLeftMirrored]; // UIImageOrientationDownMirrored self.cameraImageView.image = [UIImage imageWithCGImage:newImage scale:1.0f orientation:UIImageOrientationLeftMirrored]; CGImageRelease(newImage); CVPixelBufferUnlockBaseAddress(imageBuffer, 0); } @end

　　实例化之后，可以在需要的时候直接获取其cameraView的cameraImage；

　　 #pragma mark - 快照采集 /// 快照采集 - (YHCameraView *)cameraView { if (!_cameraView) { YHCameraView *view = [[YHCameraView alloc] init]; view.frame = CGRectMake(1, 1, 1, 1); view.cameraImageView.image = view.cameraImage; _cameraView = view; } return _cameraView; } NSString *strImg = [YHCameraManager imageBase64EncodedWithImage:self.cameraView.cameraImage AndImageType:@"JPEG"]; // 获取照片信息

　　 /** 图片转 Base64 @param img 原图片 @param type 图片类型(PNG 或 JPEG) @return 处理结果 */ + (NSString *)imageBase64EncodedWithImage:(UIImage *)img AndImageType:(NSString *)type { NSString *callBack = nil; if ([img isKindOfClass:[UIImage class]]) { NSData *data = [NSData data]; if ([type isEqualToString:@"PNG"]) { data = UIImagePNGRepresentation(img); } else { data = UIImageJPEGRepresentation(img, 1.0f); } NSString *encodedImgStr = [data base64EncodedStringWithOptions:NSDataBase64Encoding64CharacterLineLength]; NSLog(@"YHCameraManager\nencodedImgStr: %@", encodedImgStr); return encodedImgStr; } else { return callBack; } }

　　以上就是iOS实现的*敏*感*词*实时采集图像的详细内容。更多详情请关注html中文网站其他相关文章！