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Cardiac MRI Localization with YOLO

Cardiac Localization with YOLO

This repository contains code and instructions for implementing cardiac localization using YOLO (You Only Look Once), a popular object detection algorithm.

Table of Contents

Introduction
Requirements
Installation
Usage
Training
Testing
Results
License
Acknowledgments

Introduction

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)

Installation

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

Results

test_batch1_pred
train_batch8
test_batch0_pred

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.

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