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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-for-computer-vision/
课程评论：没有评论
**课程名称：** Computer Vision with Python **课程概述：** 本课程是关于使用 Python 进行计算机视觉的终极在线课程。它将帮助您学习如何利用 Python 编程语言在计算机视觉领域进行开发。您将探索如何使用 Python 和 OpenCV (Open Computer Vision) 库来分析图像和视频数据。 随着全球最流行的平台产生前所未有的图像和视频数据（例如，YouTube 每分钟上传 300 小时视频，Netflix 用户每天观看 80,000 小时视频，Instagram 用户每分钟点赞 200 万张照片），掌握计算机视觉技能以处理这些数据变得至关重要。计算机视觉在自动驾驶汽车、社交网络应用、医疗诊断等众多行业有着广泛的应用。 Python 作为一门日益流行的语言，非常适合利用现有的计算机视觉库来处理海量图像和视频数据。本课程将传授您成为计算机视觉专家的所有知识。作为一项价值 200 亿美元的产业，计算机视觉将在未来成为最重要的就业市场之一。 课程将从使用 NumPy 库进行数值处理以及如何使用 NumPy 打开和处理图像开始。随后，将转向使用 OpenCV 库来打开和处理图像基础知识。最后，将深入学习如何处理图像并应用各种效果，包括颜色映射、图像融合、阈值处理、梯度处理等。
Welcome to the ultimate online course on Python for Computer Vision!This course is your best resource for learning how to use the Python programming language for Computer Vision.We'll be exploring how to use Python and the OpenCV (Open Computer Vision) library to analyze images and video data.The most popular platforms in the world are generating never before seen amounts of image and video data. Every 60 seconds users upload more than 300 hours of video to Youtube, Netflix subscribers stream over 80,000 hours of video, and Instagram users like over 2 million photos! Now more than ever it's necessary for developers to gain the necessary skills to work with image and video data using computer vision.Computer vision allows us to analyze and leverage image and video data, with applications in a variety of industries, including self-driving cars, social network apps, medical diagnostics, and many more.As the fastest growing language in popularity, Python is well suited to leverage the power of existing computer vision libraries to learn from all this image and video data.In this course, we'll teach you everything you need to know to become an expert in computer vision! This $20 billion dollar industry will be one of the most important job markets in the years to come.We'll start the course by learning about numerical processing with the NumPy library and how to open and manipulate images with NumPy. Then will move on to using the OpenCV library to open and work with image basics. Then we'll start to understand how to process images and apply a variety of effects, including color mappings, blending, thresholds, gradients, and more.
