# android-demo-app

**Repository Path**: dyjch/android-demo-app

## Basic Information

- **Project Name**: android-demo-app
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-02-14
- **Last Updated**: 2025-01-15

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# PyTorch Android Examples

A list of Android demo apps built on the powerful [PyTorch Mobile](https://pytorch.org/mobile) platform.

### HelloWorld

[HelloWorld](https://github.com/pytorch/android-demo-app/tree/master/HelloWorld) is a simple image classification application that demonstrates how to use the PyTorch Android API.

### PyTorch demo app

The [PyTorch demo app](https://github.com/pytorch/android-demo-app/tree/master/PyTorchDemoApp) is a full-fledged app that contains two showcases. A camera app that runs a quantized model to classifiy images in real time. And a text-based app that uses a text classification model to predict the topic from the input text.

### Image Segmentation

[Image Segmentation](https://github.com/pytorch/android-demo-app/tree/master/ImageSegmentation) demonstrates a Python script that converts the PyTorch [DeepLabV3](https://pytorch.org/hub/pytorch_vision_deeplabv3_resnet101/) model and an Android app that uses the model to segment images.

### Object Detection

[Object Detection](https://github.com/pytorch/android-demo-app/tree/master/ObjectDetection) demonstrates how to convert the popular [YOLOv5](https://pytorch.org/hub/ultralytics_yolov5/) model and use it in an Android app that detects objects from pictures in your photos, taken with camera, or with live camera.

### Neural Machine Translation

[Neural Machine Translation](https://github.com/pytorch/android-demo-app/tree/master/Seq2SeqNMT) demonstrates how to convert a sequence-to-sequence neural machine translation model trained with the code in the [PyTorch NMT tutorial](https://pytorch.org/tutorials/intermediate/seq2seq_translation_tutorial.html) and use the model in an Android app to do French-English translation.

### Question Answering

[Question Answering](https://github.com/pytorch/android-demo-app/tree/master/QuestionAnswering) demonstrates how to convert a powerful transformer QA model and use the model in an Android app to answer questions about PyTorch Mobile and more.

### Vision Transformer

[Vision Transformer](https://github.com/pytorch/android-demo-app/tree/master/ViT4MNIST) demonstrates how to use Facebook's latest Vision Transformer [DeiT](https://github.com/facebookresearch/deit) model to do image classification, and how convert another Vision Transformer model and use it in an Android app to perform handwritten digit recognition.



## LICENSE

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