nntruong1907 / Fask_FallDect

This is a project to implement a human fall posture recognition model through LSTM deep learning model using Flask web framework.

FallDect

This is a project to implement a human fall posture recognition model through LSTM deep learning model using Flask web framework.

## Project Description

• Python (programming language):

• The PyPA recommended tool for installing Python packages:

• Fundamental package for array computing in Python:

• Powerful data structures for data analysis, time series, and statistics:

• Fast, Extensible Progress Meter:

• Pure python download utility:

• Source machine learning framework for everyone:

• Python plotting package:

• Wrapper package for OpenCV python bindings:

• A set of python modules for machine learning and data mining:

• A simple framework for building complex web applications:

• A Flask extension adding a decorator for CORS support:

• An extension for Flask that adds support for SQLAlchemy to your application:

Recommended IDE Setup

VSCode + Python

Environment

Create a virtual environment venv for the project:

python -m venv venv

Activate virtual environment:

venv\Scripts\activate

Update to the latest pip version:

python.exe -m pip install --upgrade pip

Project Setup

Install the external dependencies needed for the project:

pip install -r setup.txt

Run Project

python main.py

Deactivate env

Once you’re done working with this virtual environment, you can deactivate it:

deactivate