https://github.com/alihassanml/yolo11-prayer-prediction
This project is focused on predicting prayer postures using a custom-trained YOLOv11 model. The model is trained to detect specific prayer postures from input images.
https://github.com/alihassanml/yolo11-prayer-prediction
namaz prayers prediction yolo11
Last synced: 3 months ago
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This project is focused on predicting prayer postures using a custom-trained YOLOv11 model. The model is trained to detect specific prayer postures from input images.
- Host: GitHub
- URL: https://github.com/alihassanml/yolo11-prayer-prediction
- Owner: alihassanml
- License: mit
- Created: 2024-10-23T17:38:48.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-10-25T07:56:27.000Z (7 months ago)
- Last Synced: 2025-01-01T15:11:42.753Z (5 months ago)
- Topics: namaz, prayers, prediction, yolo11
- Language: Jupyter Notebook
- Homepage:
- Size: 13.8 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# YOLOv11 Prayer Prediction
This repository contains the code for training and predicting prayer movements using the YOLOv11 model.
## Table of Contents
- [Project Overview](#project-overview)
- [Model Training](#model-training)
- [Model Prediction](#model-prediction)
- [Requirements](#requirements)
- [How to Use](#how-to-use)
- [Acknowledgements](#acknowledgements)
## Project Overview
This project is focused on predicting prayer postures using a custom-trained YOLOv11 model. The model is trained to detect specific prayer postures from input images.
## Model Training
The model was trained on a custom dataset containing images of different prayer postures. The YOLOv11 framework was used for training.
## Model Prediction
To run predictions on images, the following command can be used:
```bash
!yolo task=detect mode=predict model='best.pt' conf=0.25 source='image.jpg' save=True
```
This command loads the `best.pt` model and predicts objects in the input image with a confidence threshold of 25%. The predictions are saved locally.
## Requirements
- Python 3.x
- PyTorch
- YOLOv11
You can install the required dependencies using:
```bash
pip install -r requirements.txt
```
## How to Use
1. Clone the repository:
```bash
git clone https://github.com/alihassanml/Yolo11-Prayer-Prediction.git
cd Yolo11-Prayer-Prediction
```
2. Ensure that your trained model file (`best.pt`) is in the root directory.
3. Run predictions using the provided script:
```bash
!yolo task=detect mode=predict model='best.pt' conf=0.25 source='path_to_your_image' save=True
```
4. The output will be saved with the predictions drawn on the input image.
## Acknowledgements
- This project utilizes the YOLOv11 model for object detection.
- Special thanks to the contributors of the YOLOv5 and YOLOv11 frameworks.
## License
This project is licensed under the MIT License - see the LICENSE file for details.