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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调用代码来在位图上设置矩形的位置之后：
getLabels(bitmap, detectedObjects, txtOutput)
运行此代码时，你进行了许多异步调用，首先是物体检测器，然后是图像标记
器。因此，你很可能会在按下按钮后看到延迟行为。你可能会首先看到边界框
被绘制出来，稍后标签列表将被更新。 Android 和 Kotlin 提供了许多异步函数
来让用户体验更好一点，但它们超出了本书的范围，因为我想让示例保持简单
并专注于使用 ML Kit 中呈现的功能。
4.3
检测和跟踪视频中的物体
ML Kit 物体检测器还可以对视频流进行操作，让你能够检测视频中的物体并在连续视频
帧中跟踪该物体。例如，如图 4-6 所示，我在场景中移动相机，不仅检测到了 Android
小雕像，给出了一个边界框，而且还分配了一个跟踪 ID。当物体停留在视野内时，后续
帧会根据新位置获得不同的边界框，但跟踪 ID 保持不变
—
尽管因为帧内的位置和不
同的相机角度而看起来不同，但它被识别为同一物体。
图
4-6
：使用基于视频的物体检测器
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