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所在平台: Udemy |
课程主页: https://www.udemy.com/course/image-processing-on-raspberry-pi/
课程评论：没有评论
课程名称：树莓派上的计算机视觉 - 从初学者到高级 课程概述： 《树莓派上的计算机视觉应用》是一门面向初学者的课程，专注于全新的树莓派4，同时兼容树莓派3/2和树莓派Zero。此课程特别适合对树莓派感兴趣的初学者，让你深入了解其各个组件、如何连接组件、安装NOOBS操作系统、基本的Linux命令、Python编程以及在树莓派上构建图像处理应用程序和神经网络基础知识。 课程内容： 课程旨在将没有编码技能的初学者带入一个程序员的水平，使他们能够编写自己的程序。课程详细涵盖了Python编程语言的基础知识，以最简单易懂的方式教会构建计算机视觉应用。用户可以快速学习硬件组装及Python编程，以便于建立计算机视觉应用。 学习成果： 完成课程后，学员将掌握树莓派及其组件的相关知识，基本的Python编程，以及在实际场景中执行图像处理应用的能力。课程由具有计算机视觉和深度学习博士及博士后研究经验的专家团队授课，任何人都可以参与，无需工程背景。讲师将所有必要的工程概念进行简单明了的讲解。 课程包含的项目： 在课程结束时，用户将能够构建多种图像处理应用，包括缩放和翻转图像、调节图像亮度、进行位运算、图像模糊与锐化、阈值处理、侵蚀与膨胀、边缘检测和图像分割等。同时，用户还将能够开发一些现实世界的图像处理应用，例如实时人脸、眼睛和鼻子的检测、视频中汽车检测、实时物体检测、人脸识别、卷积神经网络等。课程提供兼容树莓派3/2/Zero的所有图像处理应用的完整代码。 此课程是学习和熟悉树莓派平台的最简单途径。
Computer Vision Applications on Raspberry Pi is a beginner course on the newly launched Raspberry Pi 4 and is fully compatible with Raspberry Pi 3/2 and Raspberry Pi Zero.The course is ideal for those new to the Raspberry Pi and who want to explore more about it. You will learn the components of Raspberry Pi, connecting components to Raspberry Pi, installation of the NOOBS operating system, basic Linux commands, Python programming and building Image Processing applications on Raspberry Pi and the basics of neural networks.This course will take beginners without coding skills to a level where they can write their own programs.The basics of Python programming language are well covered in the course.Building Computer Vision applications are taught in the simplest manner, which is easy to understand.Users can quickly learn hardware assembly and coding in Python programming for building Computer Vision applications. By the end of this course, users will have enough knowledge about Raspberry Pi, its components, basic Python programming, and execution of Image Processing applications in real-time scenarios.The course is taught by an expert team of engineers having PhD and Postdoctoral research experience in Computer Vision and Deep Learning. Anyone can take this course. No engineering knowledge is expected. The tutor has explained all required engineering concepts in the simplest manner. The course will enable you to independently build Computer Vision applications using Raspberry Pi. This course is the easiest way to learn and become familiar with the Raspberry Pi platform. By the end of this course, users will build Image Processing applications which include scaling and flipping images, varying the brightness of images, performing bit-wise operations on images, blurring and sharpening images, thresholding, erosion and dilation, edge detection, and image segmentation. User will also be able to build real-world Image Processing applications, which includes real-time human face eyes nose detection, detecting cars in the video, real-time object detection, human face recognition, convolutional neural network and many more. The course provides complete code for all Image Processing applications compatible with Raspberry Pi 3/2/Zero.
