# sf_innovate

**Repository Path**: cx256/sf_innovate

## Basic Information

- **Project Name**: sf_innovate
- **Description**: 临时的一个小机器人项目
- **Primary Language**: Kotlin
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-04-26
- **Last Updated**: 2024-04-27

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# MediaPipe Tasks Face Landmark Detection Android Demo

### Overview

This is a camera app that can  detects face landmarks either from continuous camera frames seen by your device's front camera, an image, or a video from the device's gallery using a custom **task** file.

The task file is downloaded by a Gradle script when you build and run the app. You don't need to do any additional steps to download task files into the project explicitly unless you wish to use your own landmark detection task. If you do use your own task file, place it into the app's *assets* directory.

This application should be run on a physical Android device to take advantage of the camera.

## Build the demo using Android Studio

### Prerequisites

*   The **[Android Studio](https://developer.android.com/studio/index.html)** IDE. This sample has been tested on Android Studio Dolphin.

*   A physical Android device with a minimum OS version of SDK 24 (Android 7.0 -
    Nougat) with developer mode enabled. The process of enabling developer mode
    may vary by device.

### Building

*   Open Android Studio. From the Welcome screen, select Open an existing
    Android Studio project.

*   From the Open File or Project window that appears, navigate to and select
    the mediapipe/examples/face_landmarker/android directory. Click OK. You may
    be asked if you trust the project. Select Trust.

*   If it asks you to do a Gradle Sync, click OK.

*   With your Android device connected to your computer and developer mode
    enabled, click on the green Run arrow in Android Studio.

### Models used

Downloading, extraction, and placing the models into the *assets* folder is
managed automatically by the **download.gradle** file.