# RockPaperScissors_TFLite

**Repository Path**: Maverick_Gao/RockPaperScissors_TFLite

## Basic Information

- **Project Name**: RockPaperScissors_TFLite
- **Description**: This Android App detects Rock Paper Scissors game results using TFLite object detection.
- **Primary Language**: Kotlin
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-05-30
- **Last Updated**: 2022-05-30

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# RockPaperScissors

This Android App detects Rock Paper Scissors game results using a custom Tensorflow Lite object detection model and TFLite Task Library.


App insipred by Codelabs:  
[Build and deploy a custom object detection model with TensorFlow Lite (Android)](https://developers.google.com/codelabs/tflite-object-detection-android)  
[Train a salad detector with TensorFlow Lite Model Maker](https://github.com/googlecodelabs/odml-pathways/blob/main/object-detection/codelab2/python/Train_a_salad_detector_with_TFLite_Model_Maker.ipynb)  

# Preview

Testing environment:

    Device: Redmi K50
    Android API Level: 31(Android 12)


Red boxes for winners, blue boxes for losers, grey boxex for ties.

![](docs/images/Screenshot_2022-05-30-12-40-30-821_com.maverick.rockpaperscissors.jpg)  

![](docs/images/Screenshot_2022-05-30-12-41-00-278_com.maverick.rockpaperscissors.jpg)  


Here is a vertical screenshot.

<div>
  <img src="./docs/images/Screenshot_2022-05-30-12-43-20-780_com.maverick.rockpaperscissors.jpg" height="auto" width="360">
</div>
<br />