CLASSIFICATION_GRIDO

❯ REPLACE-ME

Table of Contents

• Overview
• Features
• Project Structure
  • Project Index
• Getting Started
  • Prerequisites
  • Installation
  • Usage
  • Testing
• Project Roadmap
• Contributing
• License
• Acknowledgments

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Overview

❯ REPLACE-ME

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Features

❯ REPLACE-ME

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Project Structure

└── Classification_grido/
    ├── README (2).md
    ├── app.py
    ├── gitattributes
    ├── keras_model.h5
    ├── labels.txt
    └── requirements.txt

Project Index

CLASSIFICATION_GRIDO/

__root__

labels.txt	❯ REPLACE-ME
app.py	❯ REPLACE-ME
gitattributes	❯ REPLACE-ME
requirements.txt	❯ REPLACE-ME

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Getting Started

Prerequisites

Before getting started with Classification_grido, ensure your runtime environment meets the following requirements:

• Programming Language: Error detecting primary_language: {'txt': 2, 'py': 1}
• Package Manager: Pip

Installation

Install Classification_grido using one of the following methods:

Build from source:

1. Clone the Classification_grido repository:

❯ git clone https://github.com/pranit144/Classification_grido

2. Navigate to the project directory:

❯ cd Classification_grido

3. Install the project dependencies:

Using pip  

❯ echo 'INSERT-INSTALL-COMMAND-HERE'

Usage

Run Classification_grido using the following command: Using pip  

❯ echo 'INSERT-RUN-COMMAND-HERE'

Testing

Run the test suite using the following command: Using pip  

❯ echo 'INSERT-TEST-COMMAND-HERE'

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Project Roadmap

• Task 1: Implement feature one.
• Task 2: Implement feature two.
• Task 3: Implement feature three.

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Contributing

• 💬 Join the Discussions: Share your insights, provide feedback, or ask questions.
• 🐛 Report Issues: Submit bugs found or log feature requests for the Classification_grido project.
• 💡 Submit Pull Requests: Review open PRs, and submit your own PRs.

Contributing Guidelines

1. Fork the Repository: Start by forking the project repository to your github account.
2. Clone Locally: Clone the forked repository to your local machine using a git client.

   git clone https://github.com/pranit144/Classification_grido

3. Create a New Branch: Always work on a new branch, giving it a descriptive name.

   git checkout -b new-feature-x

4. Make Your Changes: Develop and test your changes locally.
5. Commit Your Changes: Commit with a clear message describing your updates.

   git commit -m 'Implemented new feature x.'

6. Push to github: Push the changes to your forked repository.

   git push origin new-feature-x

7. Submit a Pull Request: Create a PR against the original project repository. Clearly describe the changes and their motivations.
8. Review: Once your PR is reviewed and approved, it will be merged into the main branch. Congratulations on your contribution!

Contributor Graph

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License

This project is protected under the SELECT-A-LICENSE License. For more details, refer to the LICENSE file.

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Acknowledgments

• List any resources, contributors, inspiration, etc. here.

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