January 2023
Intermediate to advanced
288 pages
6h 6m
Chinese
Content preview from 移动端AI与ML应用开发：基于iOS和Android
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iOS
上使用
ML Kit
的计算机视觉应用程序
|
101
let options = ObjectDetectorOptions()
options.detectorMode = .singleImage
options.shouldEnableClassification = true
options.shouldEnableMultipleObjects = true
let objectDetector = ObjectDetector.objectDetector(
options: options)
浏览选项类型的 ML Kit 文档，我在这里使用的都是非常常用的。
EnableClassification
不仅为你提供边界框，还提供 ML Kit 对物体的分类。基本模型（你在此处使用的）仅识
别 5 种非常通用的物体类型，例如“时尚商品”或“食品”，因此请合理地管理你的期
望！
EnableMultipleObjects
选项在设置后，将允许你检测多个物体，如图 6-6 所示，
其中检测了三个物体（一只鸟和两朵花）并绘制了边界框。
最后，你把图像传递给物体检测器，让它推断出它在图像中发现的物体的标签和边界
框。这是一个异步函数，因此你需要指定在推理完成时回调的函数。 ML Kit 将返回一
个
detectedObjects
列表和一个错误对象，因此你可以简单地将它们传递给你接下来要
创建的函数：
objectDetector.process(visionImage)
{ detectedObjects, ...
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