https://github.com/mokira3d48/cvm
This repository contents different scripts for different models to allow you to train a model of images classification.
https://github.com/mokira3d48/cvm
deep-learning-algorithms image-classification image-processing object-recognition
Last synced: about 2 months ago
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This repository contents different scripts for different models to allow you to train a model of images classification.
- Host: GitHub
- URL: https://github.com/mokira3d48/cvm
- Owner: mokira3d48
- License: mit
- Created: 2025-03-29T12:26:50.000Z (about 2 months ago)
- Default Branch: master
- Last Pushed: 2025-03-29T12:42:18.000Z (about 2 months ago)
- Last Synced: 2025-03-29T13:35:14.577Z (about 2 months ago)
- Topics: deep-learning-algorithms, image-classification, image-processing, object-recognition
- Language: Makefile
- Homepage:
- Size: 5.86 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
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README
# Computer Vision Modeling Project
Cloneable referential to initialize CVM project with the best practice.
## Table of Contents
- [Description](#description)
- [Installation](#installation)
- [For Linux](#for-linux)
- [For Windows](#for-windows)
- [Usage](#uage)
- [Features](#features)
- [Tests](#tests)
- [To contribute](#to-contribute)
- [Licence](#licence)
- [Contact](#contact)
## Description
This repository contents different scripts for different models to allow you
to train a model of images classification.
## Installation
To install the project, make sure you have Python 3.10 or later version
and `pip` installed on your machine. And then run the following command lines.
### For Linux
```bash
git clone https://github.com/mokira3d48/CVM cvm
cd cvm
sudo rm -r .git
git init
```
And then,
1. `sudo apt install cmake python3-venv` Install *Cmake* and *Virtual env*;
2. `make venv` or `python3 -m venv env` create a virtual env into directory
named `env`;
3. `source env/bin/activate` activate the virtual environment named `env`;
4. `make install` install the requirements of this package.
### For Windows
```bash
git clone https://github.com/mokira3d48/CVM cvm
cd cvm
sudo rm -r .git
git init
```
And then, delete the hidden directory named `.git` located at the root
of the directory project.
And then,
1. Install python for windows;
2. Open your command prompt;
3. Run `python3 -m venv env` to create a virtual env into directory
named `env`;
4. Run `pip install -r requirements` to install the requirements
of this package or project.
---
## Usage
## Features
## Tests
To execute the unittest, make sure you have `pytest` package installed,
and then run the following command line:
```bash
make test
```
or
```shell
pytest
```
---
## To contribute
Contributions are welcome! Please follow these steps:
1. Create a new branch for your feature (`git checkout -b feature/my-feature`);
2. Commit your changes (`git commit -m 'Adding a new feature'`);
3. Push toward the branch (`git push origin feature/my-feature`);
4. Create a new *Pull Request* or *Merge Request*.
## Licence
This project is licensed under the MIT License. See the file [LICENSE](LICENSE)
for more details, contact me please.
## Contact
For your question or suggestion, contact me please :
- **Name** : Arnold Mokira
- **Email** : [email protected]
- **GitHub** : [mokira3d48](https://github.com/mokira3d48)