Treffer: Image recognition software geometry with Python and OpenCV.
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The project aims to develop a software application using Python and various libraries for image processing and manipulation. The software used consists of Windows 10 Pro Education, Python 3.8.2, OpenCV 4.5.3, NumPy 1.22, Imutils 0.5.4, Pillow 9.4.0, Tkinter, and Visual Studio Code 1.75.1. The methodology is divided into four sprints. In the first sprint, the necessary dependencies, including OpenCV, NumPy, Imutils, Pillow, and Tkinter, were installed. The second sprint involved developing a command-line interface and integrating a live webcam video feature. In the third sprint, color detection was implemented by converting the image to black and white and applying filters to identify specific colors. Finally, the fourth sprint focused on developing the selection of geometric figures and colors. When a figure and color were selected, the software would identify and outline the corresponding object. This project utilized Python and various libraries to create an application for image processing and manipulation. The methodology followed a sprint-based approach to gradually develop different features and functionalities of the software. [ABSTRACT FROM AUTHOR]
El proyecto tiene como objetivo desarrollar una aplicación de software utilizando Python y varias bibliotecas para el procesamiento y manipulación de imágenes. El software utilizado consiste en Windows 10 Pro Education, Python 3.8.2, OpenCV 4.5.3, NumPy 1.22, Imutils 0.5.4, Pillow 9.4.0, Tkinter y Visual Studio Code 1.75.1. La metodología se divide en cuatro sprints. En el primer sprint, se instalaron las dependencias necesarias, incluyendo OpenCV, NumPy, Imutils, Pillow y Tkinter. El segundo sprint involucró el desarrollo de una interfaz de línea de comandos y la integración de una función de video de cámara web en vivo. En el tercer sprint, la detección de color se implementó convirtiendo la imagen a blanco y negro y aplicando filtros para identificar colores específicos. Finalmente, el cuarto sprint se centró en desarrollar la selección de figuras geométricas y colores. Cuando se seleccionaba una figura y un color, el software identificaba y delineaba el objeto correspondiente. Este proyecto utilizó Python y varias bibliotecas para crear una aplicación para el procesamiento y manipulación de imágenes. La metodología siguió un enfoque basado en sprints para desarrollar gradualmente diferentes características y funcionalidades del software. [ABSTRACT FROM AUTHOR]
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