Skip to content

Deploying ML Service(Baby Fall Detection) Based On Mediapipe using Fast API

Notifications You must be signed in to change notification settings

YONSEI-A-EYE/ML

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Detection Server

제목을-입력해주세요_-009

Prerequisites

To run this application, you need to have the following installed on your machine:

  • Python 3.8
  • pip (Python package manager)

Getting Started

1. Git Clone

Clone the repository.

git clone git@github.com:YONSEI-A-EYE/ML.git

2. Install Requirements

Navigate to the root directory of the application using your terminal or command prompt. Once you're there, you can install the required dependencies for the project by running the following command:

pip install -r requirements.txt

3. Set fcm-secret.json file

Create a file called fcm-secret.json in the ML/app/ directory of the project. This file should contain Firebase Admin SDK secret key.

4. Start Application

uvicorn main:app --reload

About

Deploying ML Service(Baby Fall Detection) Based On Mediapipe using Fast API

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages