What is Archive: you'll learnUnderstand and use OpenCV4 in PythonHow to use Deep Learning using Keras & TensorFlow in PythonCreate Face Detectors & Recognizers and create your own advanced face swaps using DLIBObject Detection, Tracking and Motion AnalysisCreate Augmented Reality AppsProgramming skills such as basic Python and NumpyHow to use Computer Vision in executing cool startup ideasUnderstand Neural and Convolutional Neural NetworksLearn to build simple Image Classifiers in PythonLearn to build an OCR Reader for Credit CardsLearn to Perform Neural Style Transfer Using OpenCVLearn how to do Multi Object Detection in OpenCV (up to 90 Objects!) using SSDs (Single Shot Detector)Learn how to convert black and white Images to color using CaffeLearn to build an Automatic Number (License) Plate Recognition (ALPR)Learn the Basics of Computer Vision and Image ProcessingRequirementsLittle to no programming knowledge is needed, but basic programing knowledge will helpWindows 10 or Ubuntu or a MacOS systemA webcam to implement some of the mini projectsDescriptionWelcome 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Many of the earlier poor reviews was during a period of time when the course material was outdated and many of the example code was broken, however, this has been fixed as of early 2019 :)======================================================Computer Vision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!.
Archive: What you'll learnUnderstand and use OpenCV4 in PythonHow to use Deep Learning using Keras & TensorFlow in PythonCreate Face Detectors & Recognizers and create your own advanced face swaps using DLIBObject Detection, Tracking and Motion AnalysisCreate Augmented Reality AppsProgramming skills such as basic Python and NumpyHow to use Computer Vision in executing cool startup ideasUnderstand Neural and Convolutional Neural NetworksLearn to build simple Image Classifiers in PythonLearn to build an OCR Reader for Credit CardsLearn to Perform Neural Style Transfer Using OpenCVLearn how to do Multi Object Detection in OpenCV (up to 90 Objects!) using SSDs (Single Shot Detector)Learn how to convert black and white Images to color using CaffeLearn to build an Automatic Number (License) Plate Recognition (ALPR)Learn the Basics of Computer Vision and Image ProcessingRequirementsLittle to no programming knowledge is needed, but basic programing knowledge will helpWindows 10 or Ubuntu or a MacOS systemA webcam to implement some of the mini projectsDescriptionWelcome 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!
this incredible skill is Master 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..
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 is 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!.
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 is ======================================================OpenCV Projects Include:Live Drawing Sketch using your webcamIdentifying ShapesCounting Circles and EllipsesFinding WaldoSingle Object Detectors using OpenCVCar and Pedestrian Detector using Cascade ClassifiersLive Face Swapper (like MSQRD & Snapchat filters!!!)Yawn Detector and CounterHandwritten Digit ClassificationFacial RecognitionBall 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..
======================================================OpenCV Projects Include:Live Drawing Sketch using your webcamIdentifying ShapesCounting Circles and EllipsesFinding WaldoSingle Object Detectors using OpenCVCar and Pedestrian Detector using Cascade ClassifiersLive Face Swapper (like MSQRD & Snapchat filters!!!)Yawn Detector and CounterHandwritten Digit ClassificationFacial RecognitionBall 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.
learning is Very educational, more than what I ever thought was possible..
Very educational, learning more than what I ever thought was possible.
it is Now, being able to actually use in a practical purpose is intriguing... much more to learn & apply""Extremely well taught and informative Computer Vision course!.
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 is trawled the web looking for Opencv python tutorials resources but this course was by far the best amalgamation of relevant lessons and projects..
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.
the projects is Loved some of and had lots of fun tinkering them.""Awesome instructor and course..
Loved some of the projects and had lots of fun tinkering them.""Awesome instructor and course.
The explanations is The explanations are really easy to understand and the materials are very easy to follow..
The explanations are really easy to understand and the materials are very easy to follow.
good introduction is Definitely a really to image processing.""I am extremely impressed by this course!!.
Definitely a really good introduction to image processing.""I am extremely impressed by this course!!
I is think this is by far the best Computer Vision course on Udemy..
I think this is by far the best Computer Vision course on Udemy.
I'm is a college student who had previously taken a Computer Vision course in undergrad..
I'm a college student who had previously taken a Computer Vision course in undergrad.
This 6.5 hour course is blows away my college class by miles!!""Rajeev did a great job on this course..
This 6.5 hour course blows away my college class by miles!!""Rajeev did a great job on this course.
I is had no idea how computer vision worked and now have a good foundation of concepts and knowledge of practical applications..
I had no idea how computer vision worked and now have a good foundation of concepts and knowledge of practical applications.
Rajeev is 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!.
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!
several apps and industries is With 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!.
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, is textbooks, and free MOOCs are often outdated, using older incompatible libraries or are too theoretical, making it difficult to understand..
Existing online tutorials, textbooks, and free MOOCs are often outdated, using older incompatible libraries or are too theoretical, making it difficult to understand.
my problem is This was when learning Computer Vision and it became incredibly frustrating..
This was my problem when learning Computer Vision and it became incredibly frustrating.
example code is Even simply running 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..
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 is 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!.
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!
it is Using 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..
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.
you is So if 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!.
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 is 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?.
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?
the process is Enroll now and start of becoming a master in Computer Vision today!Who this course is for:Beginners who have an interest in computer visionCollege students looking to get a head start before starting computer vision researchAnyone curious using Deep Learning for Computer VisionEntrepreneurs looking to implement computer vision startup ideasHobbyists wanting to make a cool computer vision prototypeSoftware Developers and Engineers wanting to develop a computer vision skillse.
Enroll now and start the process of becoming a master in Computer Vision today!Who this course is for:Beginners who have an interest in computer visionCollege students looking to get a head start before starting computer vision researchAnyone curious using Deep Learning for Computer VisionEntrepreneurs looking to implement computer vision startup ideasHobbyists wanting to make a cool computer vision prototypeSoftware Developers and Engineers wanting to develop a computer vision skillse