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NtetheWonder/South-African-Bank-Coin-Recognition-System

Créateur:
Nte
Hôte:
this is Coin recognition System to recognise south african bank coins # South-African-Bank-Coin-Recognition-System This document explains how to install dependencies, train the model, and run predictions—including selecting your own images—on the South African coin classification pipeline. If you want to a start, to create or, improve on the project you can clone it or just download the zip file. ##Or You can use the streamlit deployed app if you want to run and test it --- ## Prerequisites - **Python 3.8+** - OpenCV for image processing - scikit-learn for machine learning - scikit-image for LBP features - NumPy > _Tip:_ Create a virtual environment before installing packages :contentReference[oaicite:0]{index=0}. --- ## Installation 1. **Clone the repository** ```bash git clone github.com cd South-African-Bank-Coin-Recognition-System ##Creating virtual environment python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate ##Then install pip install -r requirements.txt ## requirements.txt should include: opencv-python scikit-learn scikit-image numpy streamlit

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github.com

Tasks

computer visionimage classification

Tags

computer-visionnumpyopencvpython3sklearn

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