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TensorFlow Lite 示例应用

A collection of TensorFlow Lite apps.

图像分类

使用预训练模型测试图像分类解决方案,该模型可识别移动设备摄像头输入帧中 1000 个不同类型的对象。

对象检测

探索使用预训练模型的应用,该模型会在移动设备摄像头输入帧中 1000 个不同的可识别对象周围绘制边界框并添加标签。

姿态估计

Explore an app that estimates poses of people in an image.

语音识别

探索使用麦克风检测关键字并返回讲话人说出该关键字的概率得分的应用。

手势识别

使用 TensorFlow.js 训练神经网络识别摄像头拍摄到的手势,然后使用 TensorFlow Lite 将模型转化为在设备上运行推断。

智能回复

生成回复建议以输入对话聊天消息。

Image segmentation

Predict whether each pixel of an image is associated with a certain class. Trained with people, places, animals, and more.

Style transfer

Apply any styles on an input image to create a new artistic image.

Digit classifier

生成回复建议以输入对话聊天消息。

Text classification

Categorize free text into predefined groups. Potential applications include abusive content moderation, tone detection and more.

Question and answer

Answer user queries based on information extracted from a given text archive.