curso-opencv-python | Materiales del curso de visión artificial con OpenCV y

 by   CAChemE Python Version: Current License: No License

kandi X-RAY | curso-opencv-python Summary

kandi X-RAY | curso-opencv-python Summary

curso-opencv-python is a Python library. curso-opencv-python has no bugs, it has no vulnerabilities and it has low support. However curso-opencv-python build file is not available. You can download it from GitHub.

La visión artificial o visión por computador es una disciplina científica que incluye métodos para adquirir, procesar, analizar y comprender las imágenes del mundo real con el fin de producir información numérica o simbólica para que puedan ser tratados por un computador. Esta comprensión se consigue gracias a distintos campos como la geometría, la estadística, la física y otras disciplinas. La visión artificial se incluye en varios planes de estudio de los distintos grados en ingeniería o másteres como el de robótica, pero, normalmente, se utiliza software propietario como MATLAB para ello. Este taller permitiría que los estudiantes conozcan herramientas informáticas libres y gratuitas específicas para la resolución de los problemas de visión artificial con los que se enfrentarán en su vida profesional. El material de este curso está orientado a estudiantes con conocimientos de programación en un lenguaje de alto nivel (Python, MATLAB, R, C++, C, Java, etc.) y hará una introducción a las diferentes funcionalidades disponibles y su uso mediante la interfaz de Python de OpenCV (otros ejemplos interesantes se pueden encontrar en Scikit-Image). Si tienes problemas con enlaces anteriores, prueba con este otro.
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            kandi-support Support

              curso-opencv-python has a low active ecosystem.
              It has 17 star(s) with 5 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              curso-opencv-python has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of curso-opencv-python is current.

            kandi-Quality Quality

              curso-opencv-python has 0 bugs and 0 code smells.

            kandi-Security Security

              curso-opencv-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              curso-opencv-python code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              curso-opencv-python does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              curso-opencv-python releases are not available. You will need to build from source code and install.
              curso-opencv-python has no build file. You will be need to create the build yourself to build the component from source.

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            curso-opencv-python Key Features

            No Key Features are available at this moment for curso-opencv-python.

            curso-opencv-python Examples and Code Snippets

            No Code Snippets are available at this moment for curso-opencv-python.

            Community Discussions

            No Community Discussions are available at this moment for curso-opencv-python.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install curso-opencv-python

            You can download it from GitHub.
            You can use curso-opencv-python like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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          • HTTPS

            https://github.com/CAChemE/curso-opencv-python.git

          • CLI

            gh repo clone CAChemE/curso-opencv-python

          • sshUrl

            git@github.com:CAChemE/curso-opencv-python.git

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