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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imageClassifier = ImageClassifier.createFromFileAndOptions(modelFile, options)
modelReady = true
runOnUiThread { Toast.makeText(this, "Model is now ready!",
Toast.LENGTH_SHORT).show() }
}
回调返回一个
CustomModel
的实例，称为模型，可以传递给
ImageClassifier
的
createFromFileAndOptions
来实例化模型。为了使以后的编码更容易，我们使用只返
回一个结果的选项。完成此操作后，模型就准备就绪了，我们可以使用它进行推理。
使用任务 API 进行推理非常简单。我们将图像转换为
TensorImage
，并将其传递给
imageClassifier
的
classify
方法。它将返回一组结果，其中的第一个条目将包含我
们的答案，我们可以从中提取标签和分数：
override fun onClick(view: View?) {
var outp:String = ""
if(modelReady){
val bitmap = ((view as ImageView).drawable as
BitmapDrawable).bitmap
val image = TensorImage.fromBitmap(bitmap)
val results:List<Classifications> ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.