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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Android
上使用
ML Kit
的计算机视觉应用程序
|
73
4.3.6
组合在一起
这通常是此类应用程序的工作方式。使用 CameraX，你可以指定一个预览画面和一个
分析器。分析器在启用流模式的情况下调用 ML Kit 物体检测器。它返回的检测到的物
体用于创建表示边界框的对象，并将这些对象添加到叠加层中。这使用了 ML Kit 中的
通用模型，因此没有太多的分类方式
—
只是它检测到一个物体并为该物体分配了一个
ID。为了进一步对检测到的每个物体进行分类，你需要一个自定义模型，我们将在第 9
章中讨论。
4.4
总结
使用 Android 的 ML Kit 构建使用视觉的应用程序非常简单。在本章中，你使用内置的
通用模型探索了几个场景，包括图像分类和标记，其中单个图像的内容可以由计算机
确定，然后使用物体检测，其中图像中的多个物体可以被检测到并且它们的位置由边界
框确定。本章结束时还简要探讨了如何将其扩展到视频
—
你不仅可以在视频中检测物
体，还可以实时跟踪它。所有这些场景都基于 ML Kit 中的通用内置模型，但可以使用
自定义模型来轻松扩展。我们将在第 9 章中对此进行更多探讨。
正文.indd 73正文.indd 73 2023-4-30 9:08:192023-4-30 9:08:19
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