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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
使用
Firebase
产品化应用程序
|
225
implementation 'org.tensorflow:tensorflow-lite:2.3.0'
implementation 'org.tensorflow:tensorflow-lite-task-vision:0.1.0'
Firebase 连接到你的应用程序就这么简单!
12.3.5
5
步:从
Firebase
模型托管获取模型
早些时候,你将模型上传到 Firebase 模型托管,其中,flowers1 是基于 EfficientNet
模型的名称,flowers2 是基于 MobileNet 的模型的名称。
此应用程序的完整代码可在
https://github.com/lmoroney/odmlbook/tree/main/BookSource/
Chapter12/MultiFlowers
上获得。
创建用于从 Firebase 模型托管加载模型的函数。在此你应该设置一个
CustomModel-
DownloadConditions
对象,如下所示:
val conditions = CustomModelDownloadConditions.Builder()
.requireWifi()
.build()
此函数在 GitHub 存储库的示例应用程序中称为
loadModel
完成此操作后,你可以使用
FirebaseModelDownloader
获取模型。它有一个
getModel
方法,该方法允许你根据你之前创建的条件传入表示模型的字符串名称 ...
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Publisher Resources

ISBN: 9787111713081