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The Complete Computer Vision Bootcamp: From Zero to Expert!

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Lucas Bazilio

9:41:04

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  • 1 - Introduction to the Course.mp4
    01:10
  • 2 - Working in MATLAB.mp4
    01:11
  • 2 - Working-in-MATLAB.pdf
  • 3 - Basic Concepts.mp4
    02:53
  • 3 - Basic-Concepts.pdf
  • 4 - Discretization of the Image.mp4
    03:52
  • 4 - Discretization-of-the-Image.pdf
  • 5 - Working with Images.mp4
    17:22
  • 5 - Working-with-Images.pdf
  • 5 - disk.zip
  • 5 - workingwithimages.zip
  • 6 - Domain Evaluation.mp4
    07:35
  • 6 - domainevaluation.zip
  • 7 - How to Save an Image.mp4
    02:33
  • 7 - How-to-Save-an-Image.pdf
  • 7 - howtosaveimage.zip
  • 8 - Mesh Function.mp4
    05:46
  • 8 - Mesh-Function.pdf
  • 8 - disk.zip
  • 8 - mesh.zip
  • 9 - Introduction to Colour Quantification.mp4
    16:55
  • 9 - Introduction-to-Colour-Quantification.pdf
  • 9 - flowers.zip
  • 9 - introductiontocolourquantification.zip
  • 10 - RGB and HSI Models.mp4
    15:26
  • 10 - RGB-and-HSI-Models.pdf
  • 10 - flowers.zip
  • 10 - rgbandhsimodels.zip
  • 11 - Introduction to Image Preprocessing.mp4
    01:36
  • 11 - Introduction-to-Image-Preprocessing.pdf
  • 12 - Image Information Retrieval.mp4
    09:51
  • 12 - Image-Information-Retrieval.pdf
  • 12 - imageinformationretrieval.zip
  • 12 - what-is.zip
  • 13 - Gray Level Histogram.mp4
    15:10
  • 13 - Gray-Level-Histogram.pdf
  • 13 - graylevelhistogram.zip
  • 13 - what-is.zip
  • 14 - Histogram Equalization.mp4
    08:26
  • 14 - Histogram-Equalization.pdf
  • 14 - histogramequalization.zip
  • 14 - what-is.zip
  • 15 - Affine Transformation.mp4
    04:49
  • 15 - Affine-Transformation.pdf
  • 15 - affine-transformation.zip
  • 15 - lenna.zip
  • 16 - Arithmetic Operations.mp4
    10:23
  • 16 - Arithmetic-Operations.pdf
  • 16 - cars1.zip
  • 16 - cars2.zip
  • 16 - cars3.zip
  • 16 - imagesubtraction.zip
  • 17 - Quality Control Project Statement.mp4
    06:53
  • 17 - Quality-Control-Statement.pdf
  • 17 - Quality-Control-using-the-difference-image.pdf
  • 17 - tablets1.zip
  • 17 - tablets2.zip
  • 18 - Quality Control Project Solution Part 1.mp4
    40:24
  • 18 - Quality-Control-Statement.pdf
  • 18 - Quality-Control-using-the-difference-image.pdf
  • 18 - qualitycontrolsolutionpart1.zip
  • 18 - tablets1.zip
  • 18 - tablets2.zip
  • 19 - Quality Control Project Solution Part 2.mp4
    13:48
  • 19 - Quality-Control-Statement.pdf
  • 19 - Quality-Control-using-the-difference-image.pdf
  • 19 - tablets1.zip
  • 19 - tablets2.zip
  • 20 - Introduction to Convolution.mp4
    05:31
  • 20 - Introduction-to-Convolution.pdf
  • 21 - ScriptExecution.pdf
  • 21 - Working with Convolution.mp4
    22:05
  • 21 - Working-with-Convolution.pdf
  • 21 - workingwithconvolution.zip
  • 22 - Image Noise and Smoothing Filters.mp4
    17:13
  • 22 - Image-Noise-and-Smoothing-Filters.pdf
  • 22 - gull.zip
  • 22 - imagenoise-script.zip
  • 23 - Contour Detection.mp4
    35:21
  • 23 - Contour-Detection.pdf
  • 23 - contourdetection-script.zip
  • 23 - rabb.zip
  • 24 - Introduction to Morphological Image Processing.mp4
    06:46
  • 24 - Introduction-to-Morphological-Image-Processing.pdf
  • 25 - Dilations.mp4
    21:38
  • 25 - Dilations.pdf
  • 25 - dilationscript.zip
  • 25 - stain.zip
  • 26 - Erosions.mp4
    09:24
  • 26 - Erosions.pdf
  • 26 - erosionscript.zip
  • 26 - stain.zip
  • 27 - Morphological Gradients.mp4
    13:30
  • 27 - Morphological-Gradients.pdf
  • 27 - scriptmorphologicalgradients.zip
  • 27 - spaces.zip
  • 28 - Distance Transform.mp4
    21:25
  • 28 - Distance-Transform.pdf
  • 28 - cells.zip
  • 28 - scriptdistancetransform.zip
  • 29 - Conditional Dilation and Reconstruction.mp4
    14:54
  • 29 - Conditional-Dilation-and-Reconstruction.pdf
  • 29 - scriptconditionaldilationandreconstruction.zip
  • 29 - setofcells.zip
  • 30 - Challenge 1 Wrench Reconstruction.mp4
    08:34
  • 30 - Wrench-Reconstruction.pdf
  • 30 - kit.zip
  • 30 - solutionwrenchreconstruction.zip
  • 31 - Challenge 2 Greek Symbols.mp4
    06:34
  • 31 - Greek-Symbols.pdf
  • 31 - solutiongreeksymbols.zip
  • 31 - symbols.zip
  • 32 - Challenge 3 Closed Holes.mp4
    09:33
  • 32 - Closed-Holes.pdf
  • 32 - holes.zip
  • 32 - solutionclosedholes.zip
  • 33 - Opening and Closing.mp4
    10:14
  • 33 - Opening-and-Closing.pdf
  • 33 - script.zip
  • 33 - stain.zip
  • 34 - Gear Detection.mp4
    05:06
  • 34 - Gear-Detection.pdf
  • 34 - scriptgeardetection.zip
  • 35 - Skeletons.mp4
    12:33
  • 35 - Skeletons.pdf
  • 35 - cities.zip
  • 35 - scriptskeleton.zip
  • 36 - Morphology for Multilevel Images.mp4
    10:06
  • 36 - Morphology-for-Multilevel-Images.pdf
  • 36 - barcode.zip
  • 36 - script.zip
  • 37 - Noise Elimination.mp4
    05:58
  • 37 - Noise-Elimination.pdf
  • 37 - passerines.zip
  • 37 - scriptnoiseelimination.zip
  • 38 - Final Applications.mp4
    13:37
  • 38 - Final-Applications.pdf
  • 38 - scriptfinalapplications.zip
  • 38 - symbols.zip
  • 38 - verticals.zip
  • 38 - water.zip
  • 39 - Capping-of-Cell-Nuclei.pdf
  • 39 - Multilevel Reconstruction Capping of Cell Nuclei.mp4
    06:06
  • 39 - cellsnuclei.zip
  • 39 - scriptsolution.zip
  • 40 - Border-Structures.pdf
  • 40 - Multilevel Reconstruction Border Structures.mp4
    07:03
  • 40 - rice.zip
  • 40 - scriptborderstructures.zip
  • 41 - Regional Maxima and Minima.mp4
    14:27
  • 41 - Regional-Maxima-and-Minima.pdf
  • 41 - scriptregionalextrema.zip
  • 41 - tablets.zip
  • 42 - Introduction to Image Binarization.mp4
    05:48
  • 42 - Introduction-to-Image-Binarization.pdf
  • 43 - Techniques to Binarize an Image.mp4
    22:02
  • 43 - Techniques-to-Binarize-an-Image.pdf
  • 43 - places.zip
  • 43 - rabbit.zip
  • 43 - rice.zip
  • 43 - scripttechniquestobinarize.zip
  • 44 - Labeling.mp4
    06:41
  • 44 - Labeling.pdf
  • 44 - rice.zip
  • 44 - scriptlabeling.zip
  • 45 - Introduction to Image Segmentation.mp4
    09:43
  • 45 - Introduction-to-Image-Segmentation.pdf
  • 46 - Canny Edge Detector.mp4
    10:39
  • 46 - Canny-Edge-Detector.pdf
  • 46 - scriptcannyedgedetector.zip
  • 47 - Watershed.mp4
    18:11
  • 47 - Watershed.pdf
  • 47 - scriptwatershed.zip
  • 48 - Automatic Markers Acquisition.mp4
    09:04
  • 48 - Automatic-Markers-Acquisition.pdf
  • 48 - rabbit.zip
  • 48 - script.zip
  • 49 - Script-Solution.pdf
  • 49 - Separation of Objects.mp4
    11:43
  • 49 - Separation-of-Objects.pdf
  • 49 - cells.zip
  • 49 - scriptseparationofobjects.zip
  • 50 - KMeans Clustering.mp4
    09:55
  • 50 - K-Means-Clustering.pdf
  • 51 - KMeans Clustering Application.mp4
    13:37
  • 51 - K-Means-Clustering-Application.pdf
  • 51 - Script-Output.pdf
  • 51 - greens.zip
  • 51 - kmeansscript.zip
  • Description


    The modern Computer Vision course for everyone! Projects, challenges and theory. Many courses in one!

    What You'll Learn?


    • Become an advanced, confident, and modern Computer Vision expert from scratch
    • Become job-ready by understanding how Computer Vision really works behind the scenes
    • Computer Vision fundamentals: digital image, discretization and quantification, color spaces, etc.
    • How to think and work like a developer: problem-solving, researching, workflows
    • Digital image processing: gray level transformations, geometric transformations, convolution, image enhancement and smoothing, morphological filters, etc.
    • Get fast and friendly support in the Q&A area
    • Complex concepts like the 'Mahalanobis' classifier, object identification, etc.
    • Image segmentation: región growing, split & merge, watershed, k-means, normalized cuts, etc.
    • Practice your skills with 50+ challenges and assignments (solutions included)

    Who is this for?


  • Take this course if you want to gain a true and deep understanding of Computer Vision
  • Take this course if you have been trying to learn Computer Vision but: 1) still don't really understand Computer Vision, or 2) still don't feel confident to work real projects
  • Take this course if you already know Computer Vision and are looking for an advanced course. This course includes expert topics!
  • Take this course if you are interested in face recognition, early diagnosis of diseases, detection and location of objects and people, gestural interaction with systems, robot guidance or automatic driving
  • More details


    Description

    You’ve just stumbled upon the most complete, in-depth Computer Vision course online.

    Whether you want to:

    - build the skills you need to get your first Computer Vision programming job

    - move to a more senior software developer position

    - become a computer scientist mastering in computation

    - or just learn Computer Vision to be able to work with your own projects quickly.

    ...this complete Computer Vision Masterclass is the course you need to do all of this, and more.


    This course is designed to give you the Computer Vision skills you need to become a Computer Vision expert. By the end of the course, you will understand Computer Vision extremely well and be able to work with your own Computer Vision projects and be productive as a computer scientist and software developer.


    What makes this course a bestseller?

    Like you, thousands of others were frustrated and fed up with fragmented Youtube tutorials or incomplete or outdated courses which assume you already know a bunch of stuff, as well as thick, college-like textbooks able to send even the most caffeine-fuelled coder to sleep.

    Like you, they were tired of low-quality lessons, poorly explained topics, and confusing info presented in the wrong way. That’s why so many find success in this complete Computer Vision course. It’s designed with simplicity and seamless progression in mind through its content.

    This course assumes no previous coding experience and takes you from absolute beginner core concepts. You will learn the core Computer Vision skills and master logic programming. It's a one-stop shop to learn Computer Vision. If you want to go beyond the core content you can do so at any time.


    Here’s just some of what you’ll learn

    (It’s okay if you don’t understand all this yet, you will in the course)

    • Understand the formation mechanisms of Digital Images and their characteristics.

    • Compare and select the most appropriate Image Preprocessing Tools depending on the problem to be solved.

    • Segment and Label the regions of an image based on their common characteristics and/or differences.

    • Know, design and efficiently apply the most suitable Descriptors for the characterization of Regions, Contours or Singular Points of an image.

    • Detect and recognize the presence of certain Items in an image.

    • Correctly carry out experiments aimed at evaluating the chosen or proposed methods, their limitations and weak points, based on objective results.

    • Detect Motion in a scene and Track Targets.


    What if I have questions?

    As if this course wasn’t complete enough, I offer full support, answering any questions you have 7 days a week.

    This means you’ll never find yourself stuck on one lesson for days on end. With my hand-holding guidance, you’ll progress smoothly through this course without any major roadblocks.


    There’s no risk either!

    This course comes with a 30-day money-back guaranteed by Udemy. Meaning if you are not completely satisfied with the course or your progress, simply let me know and I’ll refund you 100%, every last penny no questions asked.

    You either end up with Computer Vision skills, go on to develop great programs and potentially make an awesome career for yourself, or you try the course and simply get all your money back if you don’t like it…

    You literally can’t lose.


    Ready to get started, developer?

    Enroll now using the “Add to Cart” button on the right, and get started on your way to creative, advanced Computer Vision brilliance. Or, take this course for a free spin using the preview feature, so you know you’re 100% certain this course is for you.

    See you on the inside (hurry, Computer Vision is waiting!)

    Who this course is for:

    • Take this course if you want to gain a true and deep understanding of Computer Vision
    • Take this course if you have been trying to learn Computer Vision but: 1) still don't really understand Computer Vision, or 2) still don't feel confident to work real projects
    • Take this course if you already know Computer Vision and are looking for an advanced course. This course includes expert topics!
    • Take this course if you are interested in face recognition, early diagnosis of diseases, detection and location of objects and people, gestural interaction with systems, robot guidance or automatic driving

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    Lucas Bazilio
    Lucas Bazilio
    Instructor's Courses
    [ENGLISH]Lucas is an expert in mathematics and computer science who from a very young age showed a great passion for teaching.He currently has more than 10 years of experience as a science and technology instructor. He is a specialist in Algorithms, Discrete Mathematics, Artificial Intelligence, Machine Language, among other topics.Lucas is doing research at the prestigious Polytechnic University of Catalonia UPC in Barcelona.Throughout his life, he has given multiple lectures at universities and organizations on the teaching of mathematics.[SPANISH]Lucas es un experto en matemáticas y ciencias de la computación que desde muy pequeño mostró una gran pasión por la enseñanza.Actualmente cuenta con más de 10 años de experiencia siendo instructor de ciencias y tecnología. Es especialista en Algoritmos, Matemática Discreta, Inteligencia Artificial, Lenguaje Máquina, entre otros temas.Lucas se encuentra investigando en la prestigiosa Universidad Politécnica de Cataluña UPC en Barcelona.A lo largo de su vida, ha dado múltiples conferencias en universidades y organizaciones sobre la enseñanza de las matemáticas.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 51
    • duration 9:41:04
    • Release Date 2023/04/19