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Détails du Torrent Pour "Udemy | Master Computer Vision™ OpenCV4 in Python with Deep Learning [FTU] GloDLS"

Udemy | Master Computer Vision™ OpenCV4 in Python with Deep Learning [FTU] GloDLS

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_NAME_:	Udemy \| Master Computer Vision™ OpenCV4 in Python with Deep Learning [FTU] GloDLS
Description: Learn OpenCV4, Dlib, Keras, TensorFlow & Caffe while completing over 21 projects such as classifiers, detectors & more! BESTSELLER Created by: Rajeev Ratan Last updated: 6/2019 Language: English Caption (CC): Included Torrent Contains: 243 Files, 21 Folders Course Source: https://www.udemy.com/master-computer-vision-with-opencv-in-python/ What you'll learn • Understand and use OpenCV4 in Python • How to use Deep Learning using Keras & TensorFlow in Python • Create Face Detectors & Recognizers and create your own advanced face swaps using DLIB • Object Detection, Tracking and Motion Analysis • Create Augmented Reality Apps • Programming skills such as basic Python and Numpy • How to use Computer Vision in executing cool startup ideas • Understand Neural and Convolutional Neural Networks • Learn to build simple Image Classifiers in Python • Learn to build an OCR Reader for Credit Cards • Learn to Perform Neural Style Transfer Using OpenCV • Learn 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 Caffe • Learn to build an Automatic Number (License) Plate Recognition (ALPR) • Learn the Basics of Computer Vision and Image Processing Course content all 116 lectures 10:44:57 Requirements • Little to no programming knowledge is needed, but basic programing knowledge will help • Windows 10 or Ubuntu or a MacOS system • A webcam to implement some of the mini projects Description Welcome to one of the most thorough and well taught courses on OpenCV, where you'll learn how to Master Computer Vision using newest version of OpenCV4 in Python! You will be learning: 1. The key concepts of Computer Vision & OpenCV (using the newest version OpenCV 4) 2. To perform image manipulations such as transformations, cropping, blurring, thresholding, edge detection and cropping. 3. To segment 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. 4. Use feature detection (SIFT, SURF, FAST, BRIEF & OR to do object detection. 5. Implement Object Detection for faces, people & cars. 6. Extract facial landmarks for face analysis, applying filters and face swaps. 7. Implement Machine Learning in Computer Vision for handwritten digit recognition. 8. Implement Facial Recognition. 9. Implement and understand Motion Analysis & Object Tracking. 10. Use basic computational photography techniques for Photo Restoration (eliminate marks, lines, creases, and smudges from old damaged photos). 11. How to become a true computer vision expert by getting started in Deep Learning ( 3+ hours of Deep Learning with Keras in Python) 12. How to develop Computer Vision Product Ideas 13. How to perform Multi Object Detection (90 Object Types) 14. How to colorize Black & White Photos and Video 15. Neural Style Transfers - Apply the artistic style of Van Gogh, Picasso and others to any image even your webcam input 16. How to make your own Automatic Number-Plate Recognition (ALPR 17. Credit Card Number Identification (Build your own OCR Classifier with PyTesseract) You'll also be implementing 21 awesome projects! OpenCV Projects Include: 1. Live Drawing Sketch using your webcam 2. Identifying Shapes 3. Counting Circles and Ellipses 4. Finding Waldo 5. Single Object Detectors using OpenCV 6. Car and Pedestrian Detector using Cascade Classifiers 7. Live Face Swapper (like MSQRD & Snapchat filters!!!) 8. Yawn Detector and Counter 9. Handwritten Digit Classification 10. Facial Recognition 11. Ball Tracking 12. Photo-Restoration 13. Automatic Number-Plate Recognition (ALPR) 14. Neural Style Transfer Mini Project 15. Multi Object Detection in OpenCV (up to 90 Objects!) using SSD (Single Shot Detector) 16. Colorize Black & White Photos and Video Deep Learning Projects Include: 1. Build a Handwritten Digit Classifier 2. Build a Multi Image Classifier 3. Build a Cats vs Dogs Classifier 4. Understand how to boost CNN performance using Data Augmentation 5. Extract 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 an 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-installed • Detailed Explanations on Neural Networks and Convolutional Neural Networks • Understand how Keras works and how to use and create image datasets • Build a Handwritten Digit Classifier • Build a Multi Image Classifier • Build a Cats vs Dogs Classifier • Understand how to boost CNN performance using Data Augmentation • Extract and Classify Credit Card Numbers As 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! Who this course is for: • Beginners who have an interest in computer vision • College students looking to get a head start before starting computer vision research • Anyone curious using Deep Learning for Computer Vision • Entrepreneurs looking to implement computer vision startup ideas • Hobbyists wanting to make a cool computer vision prototype • Software Developers and Engineers wanting to develop a computer vision skillset.
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Catégorie:	Tutorials
Langue :	English
Taille totale:	3.68 GB
Info Hash:	92332F4A01938F2642CFA1EF3F2F2674A3CC71E2
Ajouté par:	Prom3th3uS
Date:	2019-06-26 16:07:29
Statut Torrent:	Torrent Verified

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Liste des fichiers:

_FILE_	Taille
0. Websites you may like/1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url	328.00 B
0. Websites you may like/2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url	286.00 B
0. Websites you may like/3. (NulledPremium.com) Download Cracked Website Themes, Plugins, Scripts And Stock Images.url	163.00 B
0. Websites you may like/4. (FTUApps.com) Download Cracked Developers Applications For Free.url	239.00 B
0. Websites you may like/5. (Discuss.FTUForum.com) FTU Discussion Forum.url	294.00 B
0. Websites you may like/How you can help Team-FTU.txt	237.00 B
1. Course Introduction and Setup/1. Introduction.mp4	20.84 MB
1. Course Introduction and Setup/1. Introduction.vtt	2.55 kB
1. Course Introduction and Setup/2. Introduction to Computer Vision and OpenCV.mp4	35.26 MB
1. Course Introduction and Setup/2. Introduction to Computer Vision and OpenCV.vtt	4.05 kB
1. Course Introduction and Setup/3. About this course.mp4	10.29 MB
1. Course Introduction and Setup/3. About this course.vtt	7.12 kB
1. Course Introduction and Setup/4. READ THIS - Guide to installing and setting up your OpenCV4.0.1 Virtual Machine.html	2.60 kB
1. Course Introduction and Setup/4.1 Download your OpenCV4 Virtual Machine HERE!.html	143.00 B
1. Course Introduction and Setup/5. Recomended - Setup your OpenCV4.0.1 Virtual Machine.mp4	37.58 MB
1. Course Introduction and Setup/5. Recomended - Setup your OpenCV4.0.1 Virtual Machine.vtt	5.33 kB
1. Course Introduction and Setup/5.1 masteropencv4_v1.5.tar.gz.gz	116.15 MB
1. Course Introduction and Setup/6. Installation of OpenCV & Python on Windows.mp4	23.95 MB
1. Course Introduction and Setup/6. Installation of OpenCV & Python on Windows.vtt	11.13 kB
1. Course Introduction and Setup/6.1 Windows OpenCV Installation.pdf.pdf	23.49 kB
1. Course Introduction and Setup/7. Installation of OpenCV & Python on Mac.html	4.20 kB
1. Course Introduction and Setup/7.1 Guide to troubleshooting Issues with Mac installs.html	148.00 B
1. Course Introduction and Setup/8. Installation of OpenCV & Python on Linux.html	3.76 kB
1. Course Introduction and Setup/9. Set up course materials (DOWNLOAD LINK BELOW) - Not needed if using the new VM.mp4	4.62 MB
1. Course Introduction and Setup/9. Set up course materials (DOWNLOAD LINK BELOW) - Not needed if using the new VM.vtt	2.14 kB
1. Course Introduction and Setup/9.1 MasteringComputerVision_V1.03.zip.zip	127.48 MB
10. Computational Photography & Make a License Plate Reader/1. Mini Project # 12 - Photo-Restoration.mp4	14.73 MB
10. Computational Photography & Make a License Plate Reader/1. Mini Project # 12 - Photo-Restoration.vtt	8.16 kB
10. Computational Photography & Make a License Plate Reader/2. Mini Project # 13 - Automatic Number-Plate Recognition (ALPR).html	861.00 B
10. Computational Photography & Make a License Plate Reader/2.1 Lecture11.1 Automatic Number-Plate Recognition.zip.zip	23.75 kB
11. Conclusion/1. Course Summary and how to become an Expert.mp4	4.16 MB
11. Conclusion/1. Course Summary and how to become an Expert.vtt	4.05 kB
11. Conclusion/1.1 ResearchPapersandURLS.pdf.pdf	96.73 kB
11. Conclusion/2. Latest Advances, 12 Startup Ideas & Implementing Computer VIsion in Mobile Apps.mp4	15.66 MB
11. Conclusion/2. Latest Advances, 12 Startup Ideas & Implementing Computer VIsion in Mobile Apps.vtt	9.36 kB
12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/1. Setup your Deep Learning Virtual Machine.mp4	77.42 MB
12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/1. Setup your Deep Learning Virtual Machine.vtt	12.42 kB
12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/1.1 DeepLearningCV_MOCV.tar.gz.gz	135.42 MB
12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/1.2 Download VirtualBox.html	102.00 B
12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/1.3 Deep Learning Computer Vision OCV.pdf.pdf	26.59 MB
12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/1.4 Download Your Deep Learning Virtual Machine HERE.html	127.00 B
12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/2. Intro to Handwritten Digit Classification (MNIST).mp4	67.30 MB
12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/2. Intro to Handwritten Digit Classification (MNIST).vtt	6.99 kB
12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/3. Intro to Multiple Image Classification (CIFAR10).mp4	27.32 MB
12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/3. Intro to Multiple Image Classification (CIFAR10).vtt	3.79 kB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/1. Neural Networks Chapter Overview.mp4	7.83 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/1. Neural Networks Chapter Overview.vtt	1.87 kB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/10. Epochs, Iterations and Batch Sizes.mp4	26.11 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/10. Epochs, Iterations and Batch Sizes.vtt	4.33 kB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/11. Measuring Performance and the Confusion Matrix.mp4	52.09 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/11. Measuring Performance and the Confusion Matrix.vtt	8.60 kB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/12. Review and Best Practices.mp4	27.14 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/12. Review and Best Practices.vtt	5.14 kB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/2. Machine Learning Overview.mp4	52.27 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/2. Machine Learning Overview.vtt	52.28 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/3. Neural Networks Explained.mp4	23.35 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/3. Neural Networks Explained.vtt	4.68 kB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/4. Forward Propagation.mp4	63.34 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/4. Forward Propagation.vtt	9.88 kB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/5. Activation Functions.mp4	59.66 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/5. Activation Functions.vtt	10.16 kB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/6. Training Part 1 – Loss Functions.mp4	58.42 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/6. Training Part 1 – Loss Functions.vtt	10.45 kB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/7. Training Part 2 – Backpropagation and Gradient Descent.mp4	72.68 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/7. Training Part 2 – Backpropagation and Gradient Descent.vtt	11.72 kB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/8. Backpropagation & Learning Rates – A Worked Example.mp4	99.90 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/8. Backpropagation & Learning Rates – A Worked Example.vtt	15.50 kB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/9. Regularization, Overfitting, Generalization and Test Datasets.mp4	118.36 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/9. Regularization, Overfitting, Generalization and Test Datasets.vtt	18.39 kB
14. BONUS - Deep Learning Computer Vision 3 - Convolutional Neural Networks (CNNs)/1. Convolutional Neural Networks Chapter Overview.mp4	5.14 MB
14. BONUS - Deep Learning Computer Vision 3 - Convolutional Neural Networks (CNNs)/1. Convolutional Neural Networks Chapter Overview.vtt	1.30 kB
14. BONUS - Deep Learning Computer Vision 3 - Convolutional Neural Networks (CNNs)/2. Introduction to Convolutional Neural Networks (CNNs).mp4	36.69 MB
14. BONUS - Deep Learning Computer Vision 3 - Convolutional Neural Networks (CNNs)/2. Introduction to Convolutional Neural Networks (CNNs).vtt	6.40 kB
14. BONUS - Deep Learning Computer Vision 3 - Convolutional Neural Networks (CNNs)/3. Convolutions & Image Features.mp4	102.41 MB
14. BONUS - Deep Learning Computer Vision 3 - Convolutional Neural Networks (CNNs)/3. Convolutions & Image Features.vtt	15.36 kB
14. BONUS - Deep Learning Computer Vision 3 - Convolutional Neural Networks (CNNs)/4. Depth, Stride and Padding.mp4	46.57 MB
14. BONUS - Deep Learning Computer Vision 3 - Convolutional Neural Networks (CNNs)/4. Depth, Stride and Padding.vtt	8.17 kB
14. BONUS - Deep Learning Computer Vision 3 - Convolutional Neural Networks (CNNs)/5. ReLU.mp4	10.89 MB
14. BONUS - Deep Learning Computer Vision 3 - Convolutional Neural Networks (CNNs)/5. ReLU.vtt	2.20 kB
14. BONUS - Deep Learning Computer Vision 3 - Convolutional Neural Networks (CNNs)/6. Pooling.mp4	28.82 MB
14. BONUS - Deep Learning Computer Vision 3 - Convolutional Neural Networks (CNNs)/6. Pooling.vtt	5.66 kB
14. BONUS - Deep Learning Computer Vision 3 - Convolutional Neural Networks (CNNs)/7. The Fully Connected Layer.mp4	13.87 MB
14. BONUS - Deep Learning Computer Vision 3 - Convolutional Neural Networks (CNNs)/7. The Fully Connected Layer.vtt	2.74 kB
14. BONUS - Deep Learning Computer Vision 3 - Convolutional Neural Networks (CNNs)/8. Training CNNs.mp4	27.13 MB
14. BONUS - Deep Learning Computer Vision 3 - Convolutional Neural Networks (CNNs)/8. Training CNNs.vtt	3.70 kB
14. BONUS - Deep Learning Computer Vision 3 - Convolutional Neural Networks (CNNs)/9. Designing Your Own CNN.mp4	24.28 MB
14. BONUS - Deep Learning Computer Vision 3 - Convolutional Neural Networks (CNNs)/9. Designing Your Own CNN.vtt	4.79 kB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/1. Introduction to Keras & Tensorflow.mp4	5.61 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/1. Introduction to Keras & Tensorflow.vtt	1.18 kB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/10. Saving and Loading Your Model.mp4	29.54 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/10. Saving and Loading Your Model.vtt	3.86 kB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/11. Displaying Your Model Visually.mp4	25.45 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/11. Displaying Your Model Visually.vtt	3.83 kB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/12. Building a Simple Image Classifier using CIFAR10.mp4	74.34 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/12. Building a Simple Image Classifier using CIFAR10.vtt	74.35 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/2. Building a CNN in Keras.mp4	73.72 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/2. Building a CNN in Keras.vtt	15.82 kB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/3. Building a Handwriting Recognition CNN.mp4	11.15 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/3. Building a Handwriting Recognition CNN.vtt	2.25 kB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/4. Loading Our Data.mp4	52.91 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/4. Loading Our Data.vtt	7.52 kB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/5. Getting our data in ‘Shape’.mp4	33.81 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/5. Getting our data in ‘Shape’.vtt	5.19 kB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/6. Hot One Encoding.mp4	18.19 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/6. Hot One Encoding.vtt	3.53 kB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/7. Building & Compiling Our Model.mp4	36.20 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/7. Building & Compiling Our Model.vtt	4.76 kB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/8. Training Our Classifier.mp4	40.81 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/8. Training Our Classifier.vtt	6.43 kB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/9. Plotting Loss and Accuracy Charts.mp4	25.57 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/9. Plotting Loss and Accuracy Charts.vtt	4.08 kB
16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/1. Data Augmentation Chapter Overview.mp4	3.92 MB
16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/1. Data Augmentation Chapter Overview.vtt	1.33 kB
16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/2. Splitting Data into Test and Training Datasets.mp4	103.80 MB
16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/2. Splitting Data into Test and Training Datasets.vtt	12.39 kB
16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/3. Train a Cats vs. Dogs Classifier.mp4	44.79 MB
16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/3. Train a Cats vs. Dogs Classifier.vtt	5.52 kB
16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/4. Boosting Accuracy with Data Augmentation.mp4	49.06 MB
16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/4. Boosting Accuracy with Data Augmentation.vtt	6.71 kB
16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/5. Types of Data Augmentation.mp4	51.04 MB
16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/5. Types of Data Augmentation.vtt	7.35 kB
17. BONUS - Build a Credit Card Number Reader/1. Step 1 - Creating a Credit Card Number Dataset.html	12.30 kB
17. BONUS - Build a Credit Card Number Reader/1.1 Credit-Card Number Identification.zip.zip	128.45 kB
17. BONUS - Build a Credit Card Number Reader/1.2 26.Credit-Card.tar.gz.gz	13.33 MB
17. BONUS - Build a Credit Card Number Reader/2. Step 2 - Training Our Model.html	4.72 kB
17. BONUS - Build a Credit Card Number Reader/3. Step 3 - Extracting A Credit Card from the Background.html	7.96 kB
17. BONUS - Build a Credit Card Number Reader/4. Step 4 - Use our Model to Identify the Digits & Display it onto our Credit Card.html	4.11 kB
18. BONUS - Neural Style Transfer with OpenCV/1. Perform Neural Style Transfer Using OpenCV4.html	4.80 kB
18. BONUS - Neural Style Transfer with OpenCV/1.1 NeuralStyleTransfer.tar.gz.gz	120.80 MB
19. BONUS - Object Detection - Use SSDs (Single Shot Detector) for Detecting Objects/1. Using an SSD In OpenCV.html	7.56 kB
19. BONUS - Object Detection - Use SSDs (Single Shot Detector) for Detecting Objects/1.1 SSDOpenCV.tar.gz.gz	142.56 MB
2. Basics of Computer Vision and OpenCV/1. What are Images.mp4	4.39 MB
2. Basics of Computer Vision and OpenCV/1. What are Images.vtt	2.99 kB
2. Basics of Computer Vision and OpenCV/2. How are Images Formed.mp4	6.22 MB
2. Basics of Computer Vision and OpenCV/2. How are Images Formed.vtt	4.10 kB
2. Basics of Computer Vision and OpenCV/3. Storing Images on Computers.mp4	10.89 MB
2. Basics of Computer Vision and OpenCV/3. Storing Images on Computers.vtt	5.99 kB
2. Basics of Computer Vision and OpenCV/4. Getting Started with OpenCV - A Brief OpenCV Intro.mp4	23.70 MB
2. Basics of Computer Vision and OpenCV/4. Getting Started with OpenCV - A Brief OpenCV Intro.vtt	10.56 kB
2. Basics of Computer Vision and OpenCV/5. Grayscaling - Converting Color Images To Shades of Gray.mp4	4.52 MB
2. Basics of Computer Vision and OpenCV/5. Grayscaling - Converting Color Images To Shades of Gray.vtt	2.50 kB
2. Basics of Computer Vision and OpenCV/6. Understanding Color Spaces - The Many Ways Color Images Are Stored Digitally.mp4	30.62 MB
2. Basics of Computer Vision and OpenCV/6. Understanding Color Spaces - The Many Ways Color Images Are Stored Digitally.vtt	14.76 kB
2. Basics of Computer Vision and OpenCV/7. Histogram representation of Images - Visualizing the Components of Images.mp4	11.73 MB
2. Basics of Computer Vision and OpenCV/7. Histogram representation of Images - Visualizing the Components of Images.vtt	5.40 kB
2. Basics of Computer Vision and OpenCV/8. Creating Images & Drawing on Images - Make Squares, Circles, Polygons & Add Text.mp4	9.84 MB
2. Basics of Computer Vision and OpenCV/8. Creating Images & Drawing on Images - Make Squares, Circles, Polygons & Add Text.vtt	4.69 kB
20. BONUS - Colorize Black and White Images/1. Colorizing Black and White Images Using Caffe.html	6.40 kB
20. BONUS - Colorize Black and White Images/1.1 colorize.tar.gz.gz	114.56 MB
3. Image Manipulations & Processing/1. Transformations, Affine And Non-Affine - The Many Ways We Can Change Images.mp4	3.58 MB
3. Image Manipulations & Processing/1. Transformations, Affine And Non-Affine - The Many Ways We Can Change Images.vtt	3.07 kB
3. Image Manipulations & Processing/10. Sharpening - Reverse Your Images Blurs.mp4	4.35 MB
3. Image Manipulations & Processing/10. Sharpening - Reverse Your Images Blurs.vtt	2.26 kB
3. Image Manipulations & Processing/11. Thresholding (Binarization) - Making Certain Images Areas Black or White.mp4	17.66 MB
3. Image Manipulations & Processing/11. Thresholding (Binarization) - Making Certain Images Areas Black or White.vtt	10.61 kB
3. Image Manipulations & Processing/12. Dilation, Erosion, OpeningClosing - Importance of ThickeningThinning Lines.mp4	10.09 MB
3. Image Manipulations & Processing/12. Dilation, Erosion, OpeningClosing - Importance of ThickeningThinning Lines.vtt	6.20 kB
3. Image Manipulations & Processing/13. Edge Detection using Image Gradients & Canny Edge Detection.mp4	15.26 MB
3. Image Manipulations & Processing/13. Edge Detection using Image Gradients & Canny Edge Detection.vtt	6.35 kB
3. Image Manipulations & Processing/14. Perspective & Affine Transforms - Take An Off Angle Shot & Make It Look Top Down.mp4	8.10 MB
3. Image Manipulations & Processing/14. Perspective & Affine Transforms - Take An Off Angle Shot & Make It Look Top Down.vtt	4.89 kB
3. Image Manipulations & Processing/15. Mini Project 1 - Live Sketch App - Turn your Webcam Feed Into A Pencil Drawing.mp4	14.34 MB
3. Image Manipulations & Processing/15. Mini Project 1 - Live Sketch App - Turn your Webcam Feed Into A Pencil Drawing.vtt	6.52 kB
3. Image Manipulations & Processing/2. Image Translations - Moving Images Up, Down. Left And Right.mp4	4.99 MB
3. Image Manipulations & Processing/2. Image Translations - Moving Images Up, Down. Left And Right.vtt	3.49 kB
3. Image Manipulations & Processing/3. Rotations - How To Spin Your Image Around And Do Horizontal Flipping.mp4	6.07 MB
3. Image Manipulations & Processing/3. Rotations - How To Spin Your Image Around And Do Horizontal Flipping.vtt	4.05 kB
3. Image Manipulations & Processing/4. Scaling, Re-sizing and Interpolations - Understand How Re-Sizing Affects Quality.mp4	8.67 MB
3. Image Manipulations & Processing/4. Scaling, Re-sizing and Interpolations - Understand How Re-Sizing Affects Quality.vtt	5.71 kB
3. Image Manipulations & Processing/5. Image Pyramids - Another Way of Re-Sizing.mp4	3.52 MB
3. Image Manipulations & Processing/5. Image Pyramids - Another Way of Re-Sizing.vtt	2.39 kB
3. Image Manipulations & Processing/6. Cropping - Cut Out The Image The Regions You Want or Don't Want.mp4	5.58 MB
3. Image Manipulations & Processing/6. Cropping - Cut Out The Image The Regions You Want or Don't Want.vtt	3.34 kB
3. Image Manipulations & Processing/7. Arithmetic Operations - Brightening and Darkening Images.mp4	7.98 MB
3. Image Manipulations & Processing/7. Arithmetic Operations - Brightening and Darkening Images.vtt	4.50 kB
3. Image Manipulations & Processing/8. Bitwise Operations - How Image Masking Works.mp4	7.74 MB
3. Image Manipulations & Processing/8. Bitwise Operations - How Image Masking Works.vtt	4.85 kB
3. Image Manipulations & Processing/9. Blurring - The Many Ways We Can Blur Images & Why It's Important.mp4	16.17 MB
3. Image Manipulations & Processing/9. Blurring - The Many Ways We Can Blur Images & Why It's Important.vtt	9.47 kB
4. Image Segmentation & Contours/1. Segmentation and Contours - Extract Defined Shapes In Your Image.mp4	22.43 MB
4. Image Segmentation & Contours/1. Segmentation and Contours - Extract Defined Shapes In Your Image.vtt	14.60 kB
4. Image Segmentation & Contours/2. Sorting Contours - Sort Those Shapes By Size.mp4	29.77 MB
4. Image Segmentation & Contours/2. Sorting Contours - Sort Those Shapes By Size.vtt	17.30 kB
4. Image Segmentation & Contours/3. Approximating Contours & Finding Their Convex Hull - Clean Up Messy Contours.mp4	13.46 MB
4. Image Segmentation & Contours/3. Approximating Contours & Finding Their Convex Hull - Clean Up Messy Contours.vtt	7.12 kB
4. Image Segmentation & Contours/4. Matching Contour Shapes - Match Shapes In Images Even When Distorted.mp4	15.24 MB
4. Image Segmentation & Contours/4. Matching Contour Shapes - Match Shapes In Images Even When Distorted.vtt	6.87 kB
4. Image Segmentation & Contours/5. Mini Project 2 - Identify Shapes (Square, Rectangle, Circle, Triangle & Stars).mp4	13.12 MB
4. Image Segmentation & Contours/5. Mini Project 2 - Identify Shapes (Square, Rectangle, Circle, Triangle & Stars).vtt	7.13 kB
4. Image Segmentation & Contours/6. Line Detection - Detect Straight Lines E.g. The Lines On A Sudoku Game.mp4	17.69 MB
4. Image Segmentation & Contours/6. Line Detection - Detect Straight Lines E.g. The Lines On A Sudoku Game.vtt	8.09 kB
4. Image Segmentation & Contours/7. Circle Detection.html	1.79 kB
4. Image Segmentation & Contours/8. Blob Detection - Detect The Center of Flowers.mp4	7.53 MB
4. Image Segmentation & Contours/8. Blob Detection - Detect The Center of Flowers.vtt	4.50 kB
4. Image Segmentation & Contours/9. Mini Project 3 - Counting Circles and Ellipses.mp4	14.24 MB
4. Image Segmentation & Contours/9. Mini Project 3 - Counting Circles and Ellipses.vtt	7.80 kB
5. Object Detection in OpenCV/1. Object Detection Overview.mp4	7.36 MB
5. Object Detection in OpenCV/1. Object Detection Overview.vtt	4.37 kB
5. Object Detection in OpenCV/2. Mini Project # 4 - Finding Waldo (Quickly Find A Specific Pattern In An Image).mp4	7.29 MB
5. Object Detection in OpenCV/2. Mini Project # 4 - Finding Waldo (Quickly Find A Specific Pattern In An Image).vtt	3.86 kB
5. Object Detection in OpenCV/3. Feature Description Theory - How We Digitally Represent Objects.mp4	8.91 MB
5. Object Detection in OpenCV/3. Feature Description Theory - How We Digitally Represent Objects.vtt	6.59 kB
5. Object Detection in OpenCV/4. Finding Corners - Why Corners In Images Are Important to Object Detection.mp4	14.78 MB
5. Object Detection in OpenCV/4. Finding Corners - Why Corners In Images Are Important to Object Detection.vtt	9.15 kB
5. Object Detection in OpenCV/5. SIFT, SURF, FAST, BRIEF & ORB - Learn The Different Ways To Get Image Features.mp4	25.48 MB
5. Object Detection in OpenCV/5. SIFT, SURF, FAST, BRIEF & ORB - Learn The Different Ways To Get Image Features.vtt	13.37 kB
5. Object Detection in OpenCV/6. Mini Project 5 - Object Detection - Detect A Specific Object Using Your Webcam.mp4	43.45 MB
5. Object Detection in OpenCV/6. Mini Project 5 - Object Detection - Detect A Specific Object Using Your Webcam.vtt	19.35 kB
5. Object Detection in OpenCV/7. Histogram of Oriented Gradients - Another Novel Way Of Representing Images.mp4	19.94 MB
5. Object Detection in OpenCV/7. Histogram of Oriented Gradients - Another Novel Way Of Representing Images.vtt	10.40 kB
6. Object Detection - Build a Face, People and CarVehicle Detectors/1. HAAR Cascade Classifiers - Learn How Classifiers Work And Why They're Amazing.mp4	10.10 MB
6. Object Detection - Build a Face, People and CarVehicle Detectors/1. HAAR Cascade Classifiers - Learn How Classifiers Work And Why They're Amazing.vtt	6.97 kB
6. Object Detection - Build a Face, People and CarVehicle Detectors/2. Face and Eye Detection - Detect Human Faces and Eyes In Any Image.mp4	24.98 MB
6. Object Detection - Build a Face, People and CarVehicle Detectors/2. Face and Eye Detection - Detect Human Faces and Eyes In Any Image.vtt	14.43 kB
6. Object Detection - Build a Face, People and CarVehicle Detectors/3. Mini Project 6 - Car and Pedestrian Detection in Videos.mp4	15.23 MB
6. Object Detection - Build a Face, People and CarVehicle Detectors/3. Mini Project 6 - Car and Pedestrian Detection in Videos.vtt	9.07 kB
7. Augmented Reality (AR) - Facial Landmark Identification (Face Swaps)/1. Face Analysis and Filtering - Identify Face Outline, Lips, Eyes Even Eyebrows.mp4	28.29 MB
7. Augmented Reality (AR) - Facial Landmark Identification (Face Swaps)/1. Face Analysis and Filtering - Identify Face Outline, Lips, Eyes Even Eyebrows.vtt	14.74 kB
7. Augmented Reality (AR) - Facial Landmark Identification (Face Swaps)/2. Merging Faces (Face Swaps) - Combine Two Faces For Fun & Sometimes Scary Results.mp4	28.66 MB
7. Augmented Reality (AR) - Facial Landmark Identification (Face Swaps)/2. Merging Faces (Face Swaps) - Combine Two Faces For Fun & Sometimes Scary Results.vtt	12.46 kB
7. Augmented Reality (AR) - Facial Landmark Identification (Face Swaps)/2.1 Student Contribution of PY3 compatible version (Thanks to Vo!).html	132.00 B
7. Augmented Reality (AR) - Facial Landmark Identification (Face Swaps)/3. Mini Project 7 - Live Face Swapper (like MSQRD & Snapchat filters!!!).mp4	14.46 MB
7. Augmented Reality (AR) - Facial Landmark Identification (Face Swaps)/3. Mini Project 7 - Live Face Swapper (like MSQRD & Snapchat filters!!!).vtt	7.90 kB
7. Augmented Reality (AR) - Facial Landmark Identification (Face Swaps)/4. Mini Project 8 - Yawn Detector and Counter.mp4	29.99 MB
7. Augmented Reality (AR) - Facial Landmark Identification (Face Swaps)/4. Mini Project 8 - Yawn Detector and Counter.vtt	10.34 kB
8. Simple Machine Learning using OpenCV/1. Machine Learning Overview - What Is It & Why It's Important to Computer Vision.mp4	16.23 MB
8. Simple Machine Learning using OpenCV/1. Machine Learning Overview - What Is It & Why It's Important to Computer Vision.vtt	11.58 kB
8. Simple Machine Learning using OpenCV/2. Mini Project 9 - Handwritten Digit Classification.mp4	60.54 MB
8. Simple Machine Learning using OpenCV/2. Mini Project 9 - Handwritten Digit Classification.vtt	25.79 kB
8. Simple Machine Learning using OpenCV/3. Mini Project # 10 - Facial Recognition - Make Your Computer Recognize You.mp4	31.99 MB
8. Simple Machine Learning using OpenCV/3. Mini Project # 10 - Facial Recognition - Make Your Computer Recognize You.vtt	15.22 kB
9. Object Tracking & Motion Analysis/1. Filtering by Color.mp4	18.65 MB
9. Object Tracking & Motion Analysis/1. Filtering by Color.vtt	7.78 kB
9. Object Tracking & Motion Analysis/2. Background Subtraction and Foreground Subtraction.mp4	29.53 MB
9. Object Tracking & Motion Analysis/2. Background Subtraction and Foreground Subtraction.vtt	8.99 kB
9. Object Tracking & Motion Analysis/3. Using Meanshift for Object Tracking.mp4	14.45 MB
9. Object Tracking & Motion Analysis/3. Using Meanshift for Object Tracking.vtt	6.23 kB
9. Object Tracking & Motion Analysis/4. Using CAMshift for Object Tracking.mp4	9.88 MB
9. Object Tracking & Motion Analysis/4. Using CAMshift for Object Tracking.vtt	5.20 kB
9. Object Tracking & Motion Analysis/5. Optical Flow - Track Moving Objects In Videos.mp4	19.81 MB
9. Object Tracking & Motion Analysis/5. Optical Flow - Track Moving Objects In Videos.vtt	9.29 kB
9. Object Tracking & Motion Analysis/6. Mini Project # 11 - Ball Tracking.mp4	14.23 MB
9. Object Tracking & Motion Analysis/6. Mini Project # 11 - Ball Tracking.vtt	6.37 kB

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