我有一个CoreML图像分类任务,它采用"直播流"来自iOS设备的[视频]摄像头,并在后台进行。一旦识别出对象,并且发生了其他应用程序逻辑,我想用一些数据更新UI标签。
有人可以解释DispatchQueue.main.asyc(execute: { })
的标注如何能够访问我一直在使用的变量吗?我认为这本质上是一个范围问题?
我目前使用的代码:
func captureOutput(_ output: AVCaptureOutput, didOutput sampleBuffer: CMSampleBuffer, from connection: AVCaptureConnection) {
processCameraBuffer(sampleBuffer: sampleBuffer)
}
func processCameraBuffer(sampleBuffer: CMSampleBuffer) {
let coreMLModel = Inceptionv3()
if let model = try? VNCoreMLModel(for: coreMLModel.model) {
let request = VNCoreMLRequest(model: model, completionHandler: { (request, error) in
if let results = request.results as? [VNClassificationObservation] {
var counter = 0
var otherVar = 0
for item in results[0...9] {
if item.identifier.contains("something") {
print("some app logic goes on here")
otherVar += 10 - counter
}
counter += 1
}
switch otherVar {
case _ where otherVar >= 10:
DispatchQueue.main.async(execute: {
let displayVarFormatted = String(format: "%.2f", otherVar / 65 * 100)
self.labelPrediction.text = "\(counter): \(displayVarFormatted)%"
})
default:
DispatchQueue.main.async(execute: {
self.labelPrediction.text = "No result!"
})
}
}
})
if let pixelBuffer: CVPixelBuffer = CMSampleBufferGetImageBuffer(sampleBuffer) {
let handler = VNImageRequestHandler(cvPixelBuffer: pixelBuffer, options: [:])
do {
try handler.perform([request])
} catch {
print(error.localizedDescription)
}
}
}
}
它导致问题的switch语句中的self.labelPrediction.text = ""
行。此var目前始终为0。
答案 0 :(得分:0)
这不是DispatchQueue
的问题。从processCameraBuffer(sampleBuffer:)
开始,您的代码会在获得结果之前更新您的用户界面。
要解决此问题,您需要使用escaping closure
。你的功能应该是这样的。
func processCameraBuffer(sampleBuffer: CMSampleBuffer, completion: @escaping (Int, String) -> Void) {
// 2.
let request = VNCoreMLRequest(model: model, completionHandler: { (request, error) in
DispatchQueue.main.async(execute: {
// 3.
let displayVarFormatted = String(format: "%.2f", otherVar / 65 * 100)
completion(counter, displayVarFormatted)
})
}
}
func captureOutput(_ output: AVCaptureOutput, didOutput sampleBuffer: CMSampleBuffer, from connection: AVCaptureConnection) {
// 1.
processCameraBuffer(sampleBuffer) { counter, displayVarFormatted in
/*
This Closure will be executed from
completion(counter, displayVarFormatted)
*/
// 4.
self.labelPrediction.text = "\(counter): \(displayVarFormatted)%"
}
}
变量范围不是问题。您需要处理异步任务。
VNCoreMLRequest
。processCameraBuffer
获取数据并执行completion()
的完成功能块。