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OpenCV Quick Practices for Python ML Implementations

This repository contains quick practices aimed at helping you understand OpenCV in Python, particularly for implementations in Machine Learning (ML). OpenCV is a powerful library used for computer vision tasks, and integrating it with ML projects can enhance the capabilities of your applications.

Getting Started

These practices are designed to be easy to follow and implement. Each practice focuses on a specific concept or task related to OpenCV and ML integration. You can quickly go through them to gain practical knowledge and understanding.

Prerequisites

  • Basic knowledge of Python programming language.
  • Familiarity with Machine Learning concepts (e.g., classification, object detection).

Usage

Each practice is organized into separate directories.

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Fast practices wih OpenCV python for ML implementations

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