Computer Vision enables computers to interpret and analyze visual data like images and videos. Using Python with libraries such as TensorFlow and Keras, developers can build deep learning models for tasks like object detection and image classification. NumPy handles numerical operations, while Pandas manages datasets efficiently. Scikit-learn (sklearn) supports preprocessing and evaluation. With PyQt5, developers can create interactive graphical interfaces to visualize computer vision results in real time.
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