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Master Computer Vision OpenCV4 in Python with Deep Learning
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Master Computer Vision OpenCV4 in Python with Deep Learning (Size: 3.67 GB) (Files: 471)
Master Computer Vision OpenCV4 in Python with Deep Learning
19. BONUS - Object Detection - Use SSDs (Single Shot Detector) for Detecting Objects
1.1 SSDOpenCV.tar.gz.gz
1. Using an SSD In OpenCV.html
ReadMe.txt
Visit Coursedrive.org.url
1. Course Introduction and Setup
1. Introduction.mp4
1. Introduction.vtt
2. Introduction to Computer Vision and OpenCV.mp4
2. Introduction to Computer Vision and OpenCV.vtt
3. About this course.mp4
3. About this course.vtt
4. READ THIS - Guide to installing and setting up your OpenCV4.0.1 Virtual Machine.html
4.1 Download your OpenCV4 Virtual Machine HERE.html
5. Recomended - Setup your OpenCV4.0.1 Virtual Machine.mp4
5. Recomended - Setup your OpenCV4.0.1 Virtual Machine.vtt
5.1 masteropencv4_v1.5.tar.gz.gz
6. Installation of OpenCV Python on Windows.mp4
6. Installation of OpenCV Python on Windows.vtt
6.1 Windows OpenCV Installation.pdf.pdf
7. Installation of OpenCV Python on Mac.html
7.1 Guide to troubleshooting Issues with Mac installs.html
8. Installation of OpenCV Python on Linux.html
9. Set up course materials (DOWNLOAD LINK BELOW) - Not needed if using the new VM.mp4
9. Set up course materials (DOWNLOAD LINK BELOW) - Not needed if using the new VM.vtt
Must Read.txt
Visit Coursedrive.org.url
9.1 MasteringComputerVision_V1.03
Master OpenCV
Beginning Tips.ipynb
Lecture 2.4 - Reading, writing and displaying images.ipynb
Lecture 2.5 - Grayscaling.ipynb
Lecture 2.6 - Color Spaces.ipynb
Lecture 2.7 - Histograms.ipynb
Lecture 2.8 - Drawing Images.ipynb
Lecture 3.2 - Translations.ipynb
Lecture 3.3 - Rotations.ipynb
Lecture 3.4 - Scaling, re-sizing and interpolations.ipynb
Lecture 3.5 - Image Pyramids.ipynb
Lecture 3.6 - Cropping.ipynb
Lecture 3.7 - Arithmetic Operations.ipynb
Lecture 3.8 - Bitwise Operations and Masking.ipynb
Lecture 3.9 - Convolutions and Blurring.ipynb
Lecture 3.10 - Sharpening.ipynb
Lecture 3.11 - Thresholding, Binarization & Adaptive Thresholding.ipynb
Lecture 3.12 - Dilation, Erosion, Opening and Closing.ipynb
Lecture 3.13 - Edge Detection & Image Gradients.ipynb
Lecture 3.14 - Perspective & Affine Transforms.ipynb
Lecture 3.15 - Mini Project # 1 - Live Sketch Using Webcam.ipynb
Lecture 4.1 - Understanding Contours.ipynb
Lecture 4.2 - Sorting Contours.ipynb
Lecture 4.3 - Approximating Contours and Convex Hull .ipynb
Lecture 4.4 - Matching Contours Shape.ipynb
Lecture 4.5 - Mini Project # 2 - Identifying Contours by Shape.ipynb
Lecture 4.6 - Line Detection using Hough Lines.ipynb
Lecture 4.7 - Circle Detection using Hough Cirlces.ipynb
Lecture 4.8 - Blob Detection.ipynb
Lecture 4.9 - Mini Project # 3 - Counting Circles and Ellipses .ipynb
Lecture 5.2 - Mini Project # 4 - Finding Waldo.ipynb
Lecture 5.4 - Finding Corners.ipynb
Lecture 5.5 - SIFT, SURF, FAST, BRIEF & ORB.ipynb
Lecture 5.6 - Mini Project # 5 - Object Detection using SIFT & ORB.ipynb
Lecture 5.7 Histogram of Oriented Gradients.ipynb
Lecture 6.2 - Face & Eye Detection.ipynb
Lecture 6.3 - Mini Project # 6 - Car & Pedestrian Detection.ipynb
Lecture 7.1 - Facial Landmarks.ipynb
Lecture 7.2 - Merging Faces.ipynb
Lecture 7.3 - Mini Project # 7 - Live Face Swaps.ipynb
Lecture 7.4 - Mini Project # 8 – Yawn Detector and Counting.ipynb
Lecture 8.2 - Mini Project # 9 - Handwritten Digit Recognition.ipynb
Lecture 8.3 - Mini Project # 10 Face Recognition – Unlock Your Computer With Your Face!.ipynb
Lecture 9.1 - Filtering by Color.ipynb
Lecture 9.2 - Background Subtraction.ipynb
Lecture 9.3 - Meanshift Object Tracking.ipynb
Lecture 9.4 - Camshift Object Tracking.ipynb
Lecture 9.5 - Optical Flow Object Tracking.ipynb
Lecture 9.6 - Mini Project # 11 - Ball Tracking.ipynb
Lecture 10.2 - Photo Denoising.ipynb
Lecture 10.3 - Mini Project #12 - Photo Restoration using inpainting.ipynb
shape_predictor_68_face_landmarks.dat
faces
user
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Haarcascades
haarcascade_car.xml
haarcascade_eye.xml
haarcascade_frontalface_default.xml
haarcascade_fullbody.xml
images
4star.jpg
abraham.jpg
abraham_mask.png
beatle.jpg
blobs.jpg
bottlecaps.jpg
box_in_scene.png
bunchofshapes.jpg
candy.jpg
cars.avi
chess.JPG
chihuahua.jpg
coffee.jpg
contours.jpg
digits.png
domino.png
download.png
eigenface_reconstruction_opencv.png
elephant.jpg
ex2.jpg
faceswap.JPG
gradient.jpg
hand.jpg
Hillary.jpg
house.jpg
IMG_7539.jpg
IMG_8295.JPG
input.jpg
input33.JPG
kim.jpg
lourve_noise.jpg
marsface.jpg
mask.jpg
numbers.jpg
obama.jpg
obamafacerecog.jpg
opencv.png
opencv_inv.png
Origin_of_Species.jpg
output.jpg
photorestore.JPG
rot.jpg
scan.jpg
shapes.jpg
shapes_donut.jpg
shapestomatch.jpg
soduku.jpg
someshapes.jpg
Sunflowers.jpg
tobago.jpg
truck.jpg
Trump.jpg
waldo.jpg
WaldoBeach.jpg
walking.avi
Lectures
Lecture Notes - Master OpenCV in Python.pdf
2. Basics of Computer Vision and OpenCV
1. What are Images.mp4
1. What are Images.vtt
2. How are Images Formed.mp4
2. How are Images Formed.vtt
3. Storing Images on Computers.mp4
3. Storing Images on Computers.vtt
4. Getting Started with OpenCV - A Brief OpenCV Intro.mp4
4. Getting Started with OpenCV - A Brief OpenCV Intro.vtt
5. Grayscaling - Converting Color Images To Shades of Gray.mp4
5. Grayscaling - Converting Color Images To Shades of Gray.vtt
6. Understanding Color Spaces - The Many Ways Color Images Are Stored Digitally.mp4
6. Understanding Color Spaces - The Many Ways Color Images Are Stored Digitally.vtt
7. Histogram representation of Images - Visualizing the Components of Images.mp4
7. Histogram representation of Images - Visualizing the Components of Images.vtt
8. Creating Images Drawing on Images - Make Squares, Circles, Polygons Add Text.mp4
8. Creating Images Drawing on Images - Make Squares, Circles, Polygons Add Text.vtt
3. Image Manipulations Processing
1. Transformations, Affine And Non-Affine - The Many Ways We Can Change Images.mp4
1. Transformations, Affine And Non-Affine - The Many Ways We Can Change Images.vtt
2. Image Translations - Moving Images Up, Down. Left And Right.mp4
2. Image Translations - Moving Images Up, Down. Left And Right.vtt
3. Rotations - How To Spin Your Image Around And Do Horizontal Flipping.mp4
3. Rotations - How To Spin Your Image Around And Do Horizontal Flipping.vtt
4. Scaling, Re-sizing and Interpolations - Understand How Re-Sizing Affects Quality.mp4
4. Scaling, Re-sizing and Interpolations - Understand How Re-Sizing Affects Quality.vtt
5. Image Pyramids - Another Way of Re-Sizing.mp4
5. Image Pyramids - Another Way of Re-Sizing.vtt
6. Cropping - Cut Out The Image The Regions You Want or Dont Want.mp4
6. Cropping - Cut Out The Image The Regions You Want or Dont Want.vtt
7. Arithmetic Operations - Brightening and Darkening Images.mp4
7. Arithmetic Operations - Brightening and Darkening Images.vtt
8. Bitwise Operations - How Image Masking Works.mp4
8. Bitwise Operations - How Image Masking Works.vtt
9. Blurring - The Many Ways We Can Blur Images Why Its Important.mp4
9. Blurring - The Many Ways We Can Blur Images Why Its Important.vtt
10. Sharpening - Reverse Your Images Blurs.mp4
10. Sharpening - Reverse Your Images Blurs.vtt
11. Thresholding (Binarization) - Making Certain Images Areas Black or White.mp4
11. Thresholding (Binarization) - Making Certain Images Areas Black or White.vtt
12. Dilation, Erosion, OpeningClosing - Importance of ThickeningThinning Lines.mp4
12. Dilation, Erosion, OpeningClosing - Importance of ThickeningThinning Lines.vtt
13. Edge Detection using Image Gradients Canny Edge Detection.mp4
13. Edge Detection using Image Gradients Canny Edge Detection.vtt
14. Perspective Affine Transforms - Take An Off Angle Shot Make It Look Top Down.mp4
14. Perspective Affine Transforms - Take An Off Angle Shot Make It Look Top Down.vtt
15. Mini Project 1 - Live Sketch App - Turn your Webcam Feed Into A Pencil Drawing.mp4
15. Mini Project 1 - Live Sketch App - Turn your Webcam Feed Into A Pencil Drawing.vtt
ReadMe.txt
Visit Coursedrive.org.url
4. Image Segmentation Contours
1. Segmentation and Contours - Extract Defined Shapes In Your Image.mp4
1. Segmentation and Contours - Extract Defined Shapes In Your Image.vtt
2. Sorting Contours - Sort Those Shapes By Size.mp4
2. Sorting Contours - Sort Those Shapes By Size.vtt
3. Approximating Contours Finding Their Convex Hull - Clean Up Messy Contours.mp4
3. Approximating Contours Finding Their Convex Hull - Clean Up Messy Contours.vtt
4. Matching Contour Shapes - Match Shapes In Images Even When Distorted.mp4
4. Matching Contour Shapes - Match Shapes In Images Even When Distorted.vtt
5. Mini Project 2 - Identify Shapes (Square, Rectangle, Circle, Triangle Stars).mp4
5. Mini Project 2 - Identify Shapes (Square, Rectangle, Circle, Triangle Stars).vtt
6. Line Detection - Detect Straight Lines E.g. The Lines On A Sudoku Game.mp4
6. Line Detection - Detect Straight Lines E.g. The Lines On A Sudoku Game.vtt
7. Circle Detection.html
8. Blob Detection - Detect The Center of Flowers.mp4
8. Blob Detection - Detect The Center of Flowers.vtt
9. Mini Project 3 - Counting Circles and Ellipses.mp4
9. Mini Project 3 - Counting Circles and Ellipses.vtt
5. Object Detection in OpenCV
1. Object Detection Overview.mp4
1. Object Detection Overview.vtt
2. Mini Project 4 - Finding Waldo (Quickly Find A Specific Pattern In An Image).mp4
2. Mini Project 4 - Finding Waldo (Quickly Find A Specific Pattern In An Image).vtt
3. Feature Description Theory - How We Digitally Represent Objects.mp4
3. Feature Description Theory - How We Digitally Represent Objects.vtt
4. Finding Corners - Why Corners In Images Are Important to Object Detection.mp4
4. Finding Corners - Why Corners In Images Are Important to Object Detection.vtt
5. SIFT, SURF, FAST, BRIEF ORB - Learn The Different Ways To Get Image Features.mp4
5. SIFT, SURF, FAST, BRIEF ORB - Learn The Different Ways To Get Image Features.vtt
6. Mini Project 5 - Object Detection - Detect A Specific Object Using Your Webcam.mp4
6. Mini Project 5 - Object Detection - Detect A Specific Object Using Your Webcam.vtt
7. Histogram of Oriented Gradients - Another Novel Way Of Representing Images.mp4
7. Histogram of Oriented Gradients - Another Novel Way Of Representing Images.vtt
6. Object Detection - Build a Face, People and CarVehicle Detectors
1. HAAR Cascade Classifiers - Learn How Classifiers Work And Why Theyre Amazing.mp4
1. HAAR Cascade Classifiers - Learn How Classifiers Work And Why Theyre Amazing.vtt
2. Face and Eye Detection - Detect Human Faces and Eyes In Any Image.mp4
2. Face and Eye Detection - Detect Human Faces and Eyes In Any Image.vtt
3. Mini Project 6 - Car and Pedestrian Detection in Videos.mp4
3. Mini Project 6 - Car and Pedestrian Detection in Videos.vtt
ReadMe.txt
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7. Augmented Reality (AR) - Facial Landmark Identification (Face Swaps)
1. Face Analysis and Filtering - Identify Face Outline, Lips, Eyes Even Eyebrows.mp4
1. Face Analysis and Filtering - Identify Face Outline, Lips, Eyes Even Eyebrows.vtt
2. Merging Faces (Face Swaps) - Combine Two Faces For Fun Sometimes Scary Results.mp4
2. Merging Faces (Face Swaps) - Combine Two Faces For Fun Sometimes Scary Results.vtt
2.1 Student Contribution of PY3 compatible version (Thanks to Vo).html
3. Mini Project 7 - Live Face Swapper (like MSQRD Snapchat filters).mp4
3. Mini Project 7 - Live Face Swapper (like MSQRD Snapchat filters).vtt
4. Mini Project 8 - Yawn Detector and Counter.mp4
4. Mini Project 8 - Yawn Detector and Counter.vtt
8. Simple Machine Learning using OpenCV
1. Machine Learning Overview - What Is It Why Its Important to Computer Vision.mp4
1. Machine Learning Overview - What Is It Why Its Important to Computer Vision.vtt
2. Mini Project 9 - Handwritten Digit Classification.mp4
2. Mini Project 9 - Handwritten Digit Classification.vtt
3. Mini Project 10 - Facial Recognition - Make Your Computer Recognize You.mp4
3. Mini Project 10 - Facial Recognition - Make Your Computer Recognize You.vtt
9. Object Tracking Motion Analysis
1. Filtering by Color.mp4
1. Filtering by Color.vtt
2. Background Subtraction and Foreground Subtraction.mp4
2. Background Subtraction and Foreground Subtraction.vtt
3. Using Meanshift for Object Tracking.mp4
3. Using Meanshift for Object Tracking.vtt
4. Using CAMshift for Object Tracking.mp4
4. Using CAMshift for Object Tracking.vtt
5. Optical Flow - Track Moving Objects In Videos.mp4
5. Optical Flow - Track Moving Objects In Videos.vtt
6. Mini Project 11 - Ball Tracking.mp4
6. Mini Project 11 - Ball Tracking.vtt
ReadMe.txt
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10. Computational Photography Make a License Plate Reader
1. Mini Project 12 - Photo-Restoration.mp4
1. Mini Project 12 - Photo-Restoration.vtt
2. Mini Project 13 - Automatic Number-Plate Recognition (ALPR).html
2.1 Lecture11.1 Automatic Number-Plate Recognition
Lecture11.1 Automatic Number-Plate Recognition.ipynb
images
car3.jpg
11. Conclusion
1. Course Summary and how to become an Expert.mp4
1. Course Summary and how to become an Expert.vtt
1.1 ResearchPapersandURLS.pdf.pdf
2. Latest Advances, 12 Startup Ideas Implementing Computer VIsion in Mobile Apps.mp4
2. Latest Advances, 12 Startup Ideas Implementing Computer VIsion in Mobile Apps.vtt
12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine
1. Setup your Deep Learning Virtual Machine.mp4
1. Setup your Deep Learning Virtual Machine.vtt
1.1 DeepLearningCV_MOCV.tar.gz.gz
1.2 Download VirtualBox.html
1.3 Deep Learning Computer Vision OCV.pdf.pdf
1.4 Download Your Deep Learning Virtual Machine HERE.html
2. Intro to Handwritten Digit Classification (MNIST).mp4
2. Intro to Handwritten Digit Classification (MNIST).vtt
3. Intro to Multiple Image Classification (CIFAR10).mp4
3. Intro to Multiple Image Classification (CIFAR10).vtt
ReadMe.txt
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13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks
1. Neural Networks Chapter Overview.mp4
1. Neural Networks Chapter Overview.vtt
2. Machine Learning Overview.mp4
2. Machine Learning Overview.vtt
3. Neural Networks Explained.mp4
3. Neural Networks Explained.vtt
4. Forward Propagation.mp4
4. Forward Propagation.vtt
5. Activation Functions.mp4
5. Activation Functions.vtt
6. Training Part 1 Loss Functions.mp4
6. Training Part 1 Loss Functions.vtt
7. Training Part 2 Backpropagation and Gradient Descent.mp4
7. Training Part 2 Backpropagation and Gradient Descent.vtt
8. Backpropagation Learning Rates A Worked Example.mp4
8. Backpropagation Learning Rates A Worked Example.vtt
9. Regularization, Overfitting, Generalization and Test Datasets.mp4
9. Regularization, Overfitting, Generalization and Test Datasets.vtt
10. Epochs, Iterations and Batch Sizes.mp4
10. Epochs, Iterations and Batch Sizes.vtt
11. Measuring Performance and the Confusion Matrix.mp4
11. Measuring Performance and the Confusion Matrix.vtt
12. Review and Best Practices.mp4
12. Review and Best Practices.vtt
14. BONUS - Deep Learning Computer Vision 3 - Convolutional Neural Networks (CNNs)
1. Convolutional Neural Networks Chapter Overview.mp4
1. Convolutional Neural Networks Chapter Overview.vtt
2. Introduction to Convolutional Neural Networks (CNNs).mp4
2. Introduction to Convolutional Neural Networks (CNNs).vtt
3. Convolutions Image Features.mp4
3. Convolutions Image Features.vtt
4. Depth, Stride and Padding.mp4
4. Depth, Stride and Padding.vtt
5. ReLU.mp4
5. ReLU.vtt
6. Pooling.mp4
6. Pooling.vtt
7. The Fully Connected Layer.mp4
7. The Fully Connected Layer.vtt
8. Training CNNs.mp4
8. Training CNNs.vtt
9. Designing Your Own CNN.mp4
9. Designing Your Own CNN.vtt
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras
1. Introduction to Keras Tensorflow.mp4
1. Introduction to Keras Tensorflow.vtt
2. Building a CNN in Keras.mp4
2. Building a CNN in Keras.vtt
3. Building a Handwriting Recognition CNN.mp4
3. Building a Handwriting Recognition CNN.vtt
4. Loading Our Data.mp4
4. Loading Our Data.vtt
5. Getting our data in Shape.mp4
5. Getting our data in Shape.vtt
6. Hot One Encoding.mp4
6. Hot One Encoding.vtt
7. Building Compiling Our Model.mp4
7. Building Compiling Our Model.vtt
8. Training Our Classifier.mp4
8. Training Our Classifier.vtt
9. Plotting Loss and Accuracy Charts.mp4
9. Plotting Loss and Accuracy Charts.vtt
10. Saving and Loading Your Model.mp4
10. Saving and Loading Your Model.vtt
11. Displaying Your Model Visually.mp4
11. Displaying Your Model Visually.vtt
12. Building a Simple Image Classifier using CIFAR10.mp4
12. Building a Simple Image Classifier using CIFAR10.vtt
ReadMe.txt
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16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier
1. Data Augmentation Chapter Overview.mp4
1. Data Augmentation Chapter Overview.vtt
2. Splitting Data into Test and Training Datasets.mp4
2. Splitting Data into Test and Training Datasets.vtt
3. Train a Cats vs. Dogs Classifier.mp4
3. Train a Cats vs. Dogs Classifier.vtt
4. Boosting Accuracy with Data Augmentation.mp4
4. Boosting Accuracy with Data Augmentation.vtt
5. Types of Data Augmentation.mp4
5. Types of Data Augmentation.vtt
17. BONUS - Build a Credit Card Number Reader
1. Step 1 - Creating a Credit Card Number Dataset.html
1.2 26.Credit-Card.tar.gz.gz
2. Step 2 - Training Our Model.html
3. Step 3 - Extracting A Credit Card from the Background.html
4. Step 4 - Use our Model to Identify the Digits Display it onto our Credit Card.html
1.1 Credit-Card Number Identification
Credit-Card Number Identification
Credit Card Reader.ipynb
credit_card_color.jpg
credit_card_extracted_digits.jpg
creditcard_digits1.jpg
creditcard_digits2.jpg
test_card.jpg
18. BONUS - Neural Style Transfer with OpenCV
1. Perform Neural Style Transfer Using OpenCV4.html
1.1 NeuralStyleTransfer.tar.gz.gz
20. BONUS - Colorize Black and White Images
1. Colorizing Black and White Images Using Caffe.html
1.1 colorize.tar.gz.gz
ReadMe.txt
Visit Coursedrive.org.url
Visit Coursedrive.org.url
Course Downloaded from coursedrive.org.txt
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