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移动端AI与ML应用开发:基于iOS和Android
book

移动端AI与ML应用开发:基于iOS和Android

by Laurence Moroney
January 2023
Intermediate to advanced
288 pages
6h 6m
Chinese
China Machine Press
Content preview from 移动端AI与ML应用开发:基于iOS和Android
ML Kit
简介
|
43
我们可以看到其中只包含一个图像和一个按钮,但至少我们的图像已经加载到 ImageView
中!接下来,我们将对按钮进行编码并让它为我们调用 ML Kit 的人脸检测器!
3.1.6
6
步:调用人脸检测器
人脸检测 API
https://oreil.ly/CPJWS
)有许多你可以调用的选项,并且可以通过
FaceDetectorOptions
对象来访问这些选项。我不打算在这里详细介绍所有可用的选
你可以查看相关文档
但在调用 API 之前,你需要设置用于调用 API 的选项。
这是使用
FaceDetectorOptions.Builder()
对象完成的,下面是一个示例:
val highAccuracyOpts = FaceDetectorOptions.Builder()
.setPerformanceMode(FaceDetectorOptions.PERFORMANCE_MODE_FAST)
.build()
你可以在此处为面部的各种标志或分类(例如睁眼或闭眼)设置许多选项,但由于只是
做一个边界框,因此我选择了一组简单的选项,这样能让它快一点!(如果你想让它更准
确,那么可以使用
PERFORMANCE_MODE_ACCURATE
,它需要的时间会更长一些,并且在一
个场景中有多个人脸时可能表现得更好。
接下来,你将使用这些选项创建检测器的实例,并将位图传递给它。由于位图是空类型
(即
Bitmap?
,而
InputImage.fromBitmap
不会采用空类型,因此你可以使用后缀 ...
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Publisher Resources

ISBN: 9787111713081