Soccer Highlight Generator with GenAI

Soccer Highlight Generator

Automate the creation of soccer match highlights with the power of Generative AI and AWS. This solution leverages AWS Bedrock (Anthropic’s Claude 3 Sonnet model), AWS MediaConvert, Lambda, Step Functions and other AWS services to identify and compile exciting game moments without manual editing.

Author

Pedram Jahangiri

Getting Started

For a detailed explanation of what this solution does and the benefits it offers, please refer to my blog

Prerequisites

• AWS CLI installed and configured with the necessary permissions
• Node.js and npm
• Python 3.11 and pip
• An AWS account with the required services enabled
• Access to Amazon Bedrock foundation models (Before you can use a foundation model in Amazon Bedrock, you must request access to it. Use this Link for detail https://docs.aws.amazon.com/bedrock/latest/userguide/model-access.html)

Installation

Clone the repository in your local machine:

git clone https://github.com/iut62elec/Soccer-Highlight-Generator-with-GenAI.git

Navigate to the Soccer-Highlight-Generator-with-GenAI directory:

cd Soccer-Highlight-Generator-with-GenAI

Set up a virtual environment and activate it:

python3.11 -m venv .venv
source .venv/bin/activate

Install the AWS CDK and required Python packages:

npm install -g aws-cdk@latest
npm update -g aws-cdk
nvm install 18
nvm use 18
npm install -g aws-cdk@latest
pip install --upgrade pip
pip install aws-cdk.aws-lambda aws-cdk.aws-stepfunctions aws-cdk.aws-stepfunctions-tasks aws-cdk.aws-cloudfront aws_cdk.aws_cloudfront_origins aws-cdk.aws-s3-deployment

Deploy the solution using CDK:

• Email subscription: Open the config.json file and add the email address where you want to receive the highlight video link

• Deploy

aws configure --profile xxx
export AWS_PROFILE=XXX
cdk bootstrap
cdk deploy --profile XXX

Usage

After the solution is deployed:

1. Go to the S3 console and locate the bucket contain "videoassetsbucket".
2. Create a folder named "public" and upload a sample video named "Final_2022.mp4" from "sample_video" folder into the "public" folder.
3. In the AWS Step Functions console, find the "SoccerHighlightsStateMachine" state machine.
4. Start the execution with the following JSON input in str format:

"{"file_name":"Final_2022.mp4"}"

5. After completion, you will receive an email at the subscribed address with a link to the highlight video.

Note: Please increase the AWS Lambda concurrent execution limit for your account to 1000 through AWS Service Quotas. This is necessary to ensure the proper functioning of the highlight generation process.

This example video highlight was generated using this solution. The tool processed an already extended highlighted video from the 2022 FIFA World Cup final between Argentina and France, originally 5 minutes long, provided by Fox. This game was chosen due to its high-scoring nature, including 6 goals and subsequent penalty shots. The generated highlight effectively removes all unnecessary moments, retaining only the goals and penalty kicks, and reduces the video to ~4 minutes. Feel free to test this tool with other games as well.

Cleanup

Cleaning Up After a Run

Each execution of the Soccer Highlight Generator creates certain AWS resources like a dedicated S3 bucket, DynamoDB table, and SQS queue for processing. To delete these resources for a specific video after processing:

1. Navigate to the AWS Lambda console in your AWS account.
2. Find and select the Lambda function named "SoccerHighlightsStack-deletes3sqsddbLambda".
3. Run this function directly from the console without any input. This will remove the processing assets created during that specific execution.

Completely Removing the Solution

If you wish to completely remove all assets associated with the Soccer Highlight Generator from your AWS account:

1. Ensure that you have first performed the cleanup steps for individual runs as described above.
2. Run the following command in your terminal where the CDK project is initialized:

cdk destroy

Contributing

Join the game by implementing and testing the Soccer Highlight Generator. Your feedback and contributions are welcome. Please follow the instructions in the repository and share your experiences to enhance sports entertainment with AWS and Generative AI.

License

This project is licensed under the MIT License.

Disclaimer

This repository and its contents are not endorsed by or affiliated with Amazon Web Services (AWS) or any other third-party entities. It represents my personal viewpoints and not those of my past or current employers. All third-party libraries, modules, plugins, and SDKs are the property of their respective owners.