Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/ghaniketrajputp005/adobe-gensolve-hackathon-2024
This Project aims to identify, regularize, and beautify curves in 2D Euclidean space.
https://github.com/ghaniketrajputp005/adobe-gensolve-hackathon-2024
cv2 keras-tensorflow numpy os sklearn
Last synced: about 1 month ago
JSON representation
This Project aims to identify, regularize, and beautify curves in 2D Euclidean space.
- Host: GitHub
- URL: https://github.com/ghaniketrajputp005/adobe-gensolve-hackathon-2024
- Owner: GhaniketRajputp005
- Created: 2024-08-10T11:57:54.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2024-08-10T12:25:01.000Z (3 months ago)
- Last Synced: 2024-10-10T08:20:44.702Z (about 1 month ago)
- Topics: cv2, keras-tensorflow, numpy, os, sklearn
- Language: Python
- Homepage:
- Size: 67.2 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Curvetopia
## Overview
Curvetopia is our Adobe GenSolve project, designed to develop a model for recognizing simple shape doodles. It features:
- **Shape Recognition:** A model trained to identify and differentiate between various simple shape doodles.
- **Virtual Environment:** A setup to isolate project dependencies, ensuring a clean development environment.
- **Dependency Management:** A streamlined process for installing all required dependencies with a single command.
- **Cloud Integration:** Utilization of cloud storage solutions for storing and accessing machine learning models.
## Installation
Follow these steps to set up the project on your local machine.
### 1. Clone the Repository
First, clone the repository to your local machine using the following command:
```bash
git clone https://github.com/GhaniketRajputp005/Adobe-Gensolve-Hackathon-2024.git
cd Curvetopia
```
### 2. Create and Activate a Virtual Environment
Create a virtual environment to isolate the project's dependencies. Run the following command to create and activate the virtual environment:
For Windows:
```bash
python -m venv venv
venv\Scripts\activate
```
For Unix/macOS:
```bash
python3 -m venv venv
source venv/bin/activate
```
### 3. Install Dependencies
Install the required dependencies for the project. This may involve using a package manager like **`pip`** for Python projects:
```bash
pip install -r requirements.txt
```