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This repository contains code and instructions for implementing cardiac localization using YOLO (You Only Look Once), a popular object detection algorithm.
Introduction
Requirements
Installation
Usage
Training
Testing
Results
License
Acknowledgments
Briefly introduce the project and its purpose. Explain why cardiac localization with YOLO is relevant and provide a high-level overview of the implementation. Requirements
List the software and hardware requirements necessary to run the code. Include specific versions if applicable.
Python 3.x
YOLOvX (replace X with the version you are using)
CUDA and cuDNN (if using GPU)
Additional dependencies (list them)
git clone https://github.com/your-username/cardiac-localization-yolo.git
# Change into the project directory
cd cardiac-localization-yolo
# Install dependencies
pip install -r requirements.txt
python detect_cardiac.py --image_path /path/to/image.jpg
python train.py --data /path/to/training_data --config /path/to/config_file
python test.py --model /path/to/trained_model --test_data /path/to/test_data
Include information about the results obtained using the trained model. Display sample outputs and metrics. License
This project is licensed under the MIT License. Acknowledgments
Give credit to any external libraries, datasets, or resources used in the project.