Welcome to the Action Recognition Repository! This repository houses a project focused on action recognition. Here, I have developed inferences for multiple pre-trained action recognition models.

I utilized the Streamlit framework to create a user-friendly web application. Through this application, users can easily upload videos and perform inference on them. You can watch a demo of the application here.

To get started, follow these steps:

1. Clone the Repository: Begin by cloning this repository to your local machine.
2. Install Dependencies: Navigate to the repository directory and install the required packages. Detailed instructions for package installation are provided in the official repository README_official.md file.
3. Run the Application: After installing the necessary packages within a virtual environment, install the Streamlit package using the following command:

To install Streamlit, run the following command:

pip install streamlit

Run streamlit

streamlit run application.py

For now you need to upload the video by first copying it into this current repo directory and uploading it from there.