Roadmap to Becoming a Computer Vision Engineer: Leveraging AI Diagramming and Flowchart Tools

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  • Опубліковано 7 лис 2024

КОМЕНТАРІ • 4

  • @NicolaiAI
    @NicolaiAI  6 днів тому +1

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  • @OficinadoArdito
    @OficinadoArdito 2 дні тому

    I just developed my first CV professional application for detection of defects in solar farms using thermal cameras. There are still some steps that are manual, but some I could optimize and extract good data with opencv. I am putting Qt into the mix too, so ai can build a user interface with a very good support for drawing and also multithreading. So, from my limited experience, I would say that learning a good general purpose framework is a must.

    • @olgafedyanova
      @olgafedyanova День тому

      For example? C++ ?

    • @OficinadoArdito
      @OficinadoArdito 4 години тому

      @olgafedyanova Qt (PySide6 with Python) will enable you to create GUIs and adds lota of functionalities, like threading, controlling external processes, database plugins, drawing libraries and a lot of stuff that you can use along with computer vision libraries to create more sophisticated stuff. You don't need C++ right away, but at some point you are going to hit the limitations of Python. As an example, you can create a GUI to select and mark images for training Yolo models. There are online tools, but if you can create yours and streamline the process to your application.