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所在平台: Udemy |
课程主页: https://www.udemy.com/course/master-computer-vision-with-opencv-in-python/
课程评论：没有评论
课程名称：在Python中掌握计算机视觉 OpenCV4与深度学习 概述：欢迎参加我们最全面、最优质的OpenCV课程之一，您将学习如何使用最新版本的OpenCV4在Python中掌握计算机视觉！本课程将带您探索计算机视觉的核心概念，包括图像处理、特征检测、物体识别等。即使您是初学者，也能通过本课程快速掌握计算机视觉的基本技能，以便完成大学或工作项目，甚至能够为您的创业点子打下基础。 课程内容包括： - 计算机视觉与OpenCV的关键概念（使用最新的OpenCV4） - 图像处理技术，包括变换、裁剪、模糊、阈值处理、边缘检测等。 - 图像分割、轮廓检测、轮廓过滤与排序。 - 物体检测和人脸识别技术，提取面部特征。 - 运用机器学习进行手写数字识别。 - 深度学习模块涵盖 Keras库的使用（超过3小时的深度学习内容）。 - 多物体检测及黑白照片上色，神经风格迁移等。 - 实施21个有趣的项目，如实时绘画草图、手写数字分类、面部识别等。 课程获得的好评表明其教学质量：学生们称赞课程内容丰富、有趣，能够迅速理解复杂的计算机视觉概念。 学习理由： 计算机视觉领域正在迅速发展，应用范围广泛，涵盖了从社交媒体应用到自动驾驶汽车等多个领域。学习计算机视觉的技能将大大提升您的职业前景。 支持与更新： 讲师会定期更新课程内容，提供新项目，不断支持学员在“问答”区的查询。 准备好开始您的计算机视觉之旅了吗？立即注册，开始学习吧！
Welcome to one of the most thorough and well-taught courses on OpenCV, where you'll learn how to Master Computer Vision using the newest version of OpenCV4 in Python!======================================================NOTE: Many of the earlier poor reviews was during a period of time when the course material was outdated and many of the example code was broken, however, this has been fixed as of early 2019:)======================================================Computer Vision is an area of Artificial Intelligence that deals with how computer algorithms can decipher what they see in images! Master this incredible skill and be able to complete your University/College Projects, automate something at work, start developing your startup idea or gain the skills to become a high paying ($400-$1000 USD/Day) Computer Vision Engineer.======================================================Last Updated Aug 2019, you will be learning:Key concepts of Computer Vision & OpenCV (using the newest version OpenCV4)Image manipulations (dozens of techniques!) such as transformations, cropping, blurring, thresholding, edge detection and cropping.Segmentation of images by understanding contours, circle, and line detection. You'll even learn how to approximate contours, do contour filtering and ordering as well as approximations.Feature detection (SIFT, SURF, FAST, BRIEF & ORB) to do object detection. Object Detection for faces, people & cars.Extract facial landmarks for face analysis, applying filters, and face swaps.Machine Learning in Computer Vision for handwritten digit recognition.Facial Recognition.Motion Analysis & Object Tracking.Computational photography techniques for Photo Restoration (eliminate marks, lines, creases, and smudges from old damaged photos).Deep Learning ( 3+ hours of Deep Learning with Keras in Python)Computer Vision Product and Startup IdeasMulti-Object Detection (90 Object Types) Colorize Black & White Photos and Video (using Caffe)Neural Style Transfers - Apply the artistic style of Van Gogh, Picasso, and others to any image even your webcam inputAutomatic Number-Plate Recognition (ALPRCredit Card Number Identification (Build your own OCR Classifier with PyTesseract)======================================================You'll also be implementing 21 awesome projects! ======================================================OpenCV Projects Include:Live Drawing Sketch using your webcamIdentifying ShapesCounting Circles and EllipsesFinding WaldoSingle Object Detectors using OpenCVCar and Pedestrian Detector using Cascade Classifiers Live Face Swapper (like MSQRD & Snapchat filters!!!)Yawn Detector and CounterHandwritten Digit Classification Facial Recognition Ball TrackingPhoto-RestorationAutomatic Number-Plate Recognition (ALPR)Neural Style Transfer Mini ProjectMulti-Object Detection in OpenCV (up to 90 Objects!) using SSD (Single Shot Detector)Colorize Black & White Photos and VideoDeep Learning Projects Include:Build a Handwritten Digit ClassifierBuild a Multi-Image ClassifierBuild a Cats vs Dogs ClassifierUnderstand how to boost CNN performance using Data AugmentationExtract and Classify Credit Card Numbers======================================================What previous students have said: "I'm amazed at the possibilities. Very educational, learning more than what I ever thought was possible. Now, being able to actually use it in a practical purpose is intriguing.much more to learn & apply""Extremely well taught and informative Computer Vision course! I've trawled the web looking for Opencv python tutorials resources but this course was by far the best amalgamation of relevant lessons and projects. Loved some of the projects and had lots of fun tinkering them.""Awesome instructor and course. The explanations are really easy to understand and the materials are very easy to follow. Definitely a really good introduction to image processing.""I am extremely impressed by this course!! I think this is by far the best Computer Vision course on Udemy. I'm a college student who had previously taken a Computer Vision course in undergrad. This 6.5 hour course blows away my college class by miles!!""Rajeev did a great job on this course. I had no idea how computer vision worked and now have a good foundation of concepts and knowledge of practical applications. Rajeev is clear and concise which helps make a complicated subject easy to comprehend for anyone wanting to start building applications."======================================================Why Learn Computer Vision in Python using OpenCV?Computer vision applications and technology are exploding right now! With several apps and industries making amazing use of the technology, from billion-dollar apps such as Pokémon GO, Snapchat and up and coming apps like MSQRD and PRISMA.Even Facebook, Google, Microsoft, Apple, Amazon, and Tesla are all heavily utilizing computer vision for face & object recognition, image searching and especially in Self-Driving Cars!As a result, the demand for computer vision expertise is growing exponentially!However, learning computer vision is hard! Existing online tutorials, textbooks, and free MOOCs are often outdated, using older incompatible libraries or are too theoretical, making it difficult to understand. This was my problem when learning Computer Vision and it became incredibly frustrating. Even simply running example code I found online proved difficult as libraries and functions were often outdated.I created this course to teach you all the key concepts without the heavy mathematical theory while using the most up to date methods. I take a very practical approach, using more than 50 Code Examples.At the end of the course, you will be able to build 12 Awesome Computer Vision Apps using OpenCV in Python.I use OpenCV which is the most well supported open-source computer vision library that exists today! Using it in Python is just fantastic as Python allows us to focus on the problem at hand without being bogged down by complex code.If you're an academic or college student I still point you in the right direction if you wish to learn more by linking the research papers of techniques we use. So if you want to get an excellent foundation in Computer Vision, look no further.This is the course for you!In this course, you will discover the power of OpenCV in Python, and obtain skills to dramatically increase your career prospects as a Computer Vision developer.You get 3+ Hours of Deep Learning in Computer Vision using Keras, which includes:A free Virtual Machine with all Deep Learning Python Libraries such as Keras and TensorFlow pre-installedDetailed Explanations on Neural Networks and Convolutional Neural NetworksUnderstand how Keras works and how to use and create image datasetsBuild a Handwritten Digit ClassifierBuild a Multi-Image ClassifierBuild a Cats vs Dogs ClassifierUnderstand how to boost CNN performance using Data AugmentationExtract and Classify Credit Card NumbersAs for Updates and support:I will be continuously adding updates, fixes, and new amazing projects every month! I will be active daily in the 'questions and answers' area of the course, so you are never on your own. So, are you ready to get started? Enroll now and start the process of becoming a master in Computer Vision today!
