Udemy - Master Computer Vision™ OpenCV4 In Python With Deep Learn...
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- Type Tutorials
- Language English
- Total size 4.0 GB
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- Last checked 2 weeks ago
- Date uploaded 6 years ago
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Udemy - Master Computer Vision™ OpenCV4 In Python With Deep Learning [TP]
Learn OpenCV4, Dlib, Keras, TensorFlow & Caffe while completing over 21 projects such as classifiers, detectors & more!
For more Udemy Courses: https://tutorialsplanet.net
Files:
[Tutorialsplanet.NET] Udemy - Master Computer Vision™ OpenCV4 in Python with Deep Learning 1. Course Introduction and Setup- 1. Introduction.mp4 (11.7 MB)
- 1. Introduction.vtt (2.6 KB)
- 2. Introduction to Computer Vision and OpenCV.mp4 (7.2 MB)
- 2. Introduction to Computer Vision and OpenCV.vtt (4.1 KB)
- 3. About this course.mp4 (10.3 MB)
- 3. About this course.vtt (7.1 KB)
- 4. READ THIS - Guide to installing and setting up your OpenCV4.0.1 Virtual Machine.html (2.6 KB)
- 4.1 Download your OpenCV4 Virtual Machine HERE!.html (0.1 KB)
- 5. Recomended - Setup your OpenCV4.0.1 Virtual Machine.mp4 (37.6 MB)
- 5. Recomended - Setup your OpenCV4.0.1 Virtual Machine.vtt (5.3 KB)
- 5.1 masteropencv4_v1.5.tar.gz.gz (116.1 MB)
- 6. Installation of OpenCV & Python on Windows.mp4 (23.9 MB)
- 6. Installation of OpenCV & Python on Windows.vtt (11.1 KB)
- 6.1 Windows OpenCV Installation.pdf.pdf (23.5 KB)
- 7. Installation of OpenCV & Python on Mac.html (4.2 KB)
- 7.1 Guide to troubleshooting Issues with Mac installs.html (0.1 KB)
- 8. Installation of OpenCV & Python on Linux.html (3.8 KB)
- 9. Set up course materials (DOWNLOAD LINK BELOW) - Not needed if using the new VM.mp4 (4.6 MB)
- 9. Set up course materials (DOWNLOAD LINK BELOW) - Not needed if using the new VM.vtt (2.1 KB)
- 9.1 MasteringComputerVision_V1.03.zip.zip (127.5 MB)
- 1. Mini Project # 12 - Photo-Restoration.mp4 (14.7 MB)
- 1. Mini Project # 12 - Photo-Restoration.vtt (8.2 KB)
- 2. Mini Project # 13 - Automatic Number-Plate Recognition (ALPR).html (0.8 KB)
- 2.1 Lecture11.1 Automatic Number-Plate Recognition.zip.zip (23.8 KB)
- 1. Course Summary and how to become an Expert.mp4 (4.2 MB)
- 1. Course Summary and how to become an Expert.vtt (4.0 KB)
- 1.1 ResearchPapersandURLS.pdf.pdf (96.7 KB)
- 2. Latest Advances, 12 Startup Ideas & Implementing Computer VIsion in Mobile Apps.mp4 (15.7 MB)
- 2. Latest Advances, 12 Startup Ideas & Implementing Computer VIsion in Mobile Apps.vtt (9.4 KB)
- 1. Setup your Deep Learning Virtual Machine.mp4 (77.4 MB)
- 1. Setup your Deep Learning Virtual Machine.vtt (12.4 KB)
- 1.1 DeepLearningCV_MOCV.tar.gz.gz (135.4 MB)
- 1.2 Download VirtualBox.html (0.1 KB)
- 1.3 Deep Learning Computer Vision OCV.pdf.pdf (26.6 MB)
- 1.4 Download Your Deep Learning Virtual Machine HERE.html (0.1 KB)
- 2. Intro to Handwritten Digit Classification (MNIST).mp4 (67.3 MB)
- 2. Intro to Handwritten Digit Classification (MNIST).vtt (7.0 KB)
- 3. Intro to Multiple Image Classification (CIFAR10).mp4 (27.3 MB)
- 3. Intro to Multiple Image Classification (CIFAR10).vtt (3.8 KB)
- 1. Neural Networks Chapter Overview.mp4 (7.8 MB)
- 1. Neural Networks Chapter Overview.vtt (1.9 KB)
- 10. Epochs, Iterations and Batch Sizes.mp4 (26.1 MB)
- 10. Epochs, Iterations and Batch Sizes.vtt (4.3 KB)
- 11. Measuring Performance and the Confusion Matrix.mp4 (52.1 MB)
- 11. Measuring Performance and the Confusion Matrix.vtt (8.6 KB)
- 12. Review and Best Practices.mp4 (27.1 MB)
- 12. Review and Best Practices.vtt (5.1 KB)
- 2. Machine Learning Overview.mp4 (52.3 MB)
- 2. Machine Learning Overview.vtt (52.3 MB)
- 3. Neural Networks Explained.mp4 (23.4 MB)
- 3. Neural Networks Explained.vtt (4.7 KB)
- 4. Forward Propagation.mp4 (63.3 MB)
- 4. Forward Propagation.vtt (9.9 KB)
- 5. Activation Functions.mp4 (59.7 MB)
- 5. Activation Functions.vtt (10.2 KB)
- 6. Training Part 1 – Loss Functions.mp4 (58.4 MB)
- 6. Training Part 1 – Loss Functions.vtt (10.4 KB)
- 7. Training Part 2 – Backpropagation and Gradient Descent.mp4 (72.7 MB)
- 7. Training Part 2 – Backpropagation and Gradient Descent.vtt (11.7 KB)
- 8. Backpropagation & Learning Rates – A Worked Example.mp4 (99.9 MB)
- 8. Backpropagation & Learning Rates – A Worked Example.vtt (15.5 KB)
- 9. Regularization, Overfitting, Generalization and Test Datasets.mp4 (118.4 MB)
- 9. Regularization, Overfitting, Generalization and Test Datasets.vtt (18.4 KB)
- 1. Convolutional Neural Networks Chapter Overview.mp4 (5.1 MB)
- 1. Convolutional Neural Networks Chapter Overview.vtt (1.3 KB)
- 2. Introduction to Convolutional Neural Networks (CNNs).mp4 (36.7 MB)
- 2. Introduction to Convolutional Neural Networks (CNNs).vtt (6.4 KB)
- 3. Convolutions & Image Features.mp4 (102.4 MB)
- 3. Convolutions & Image Features.vtt (15.4 KB)
- 4. Depth, Stride and Padding.mp4 (46.6 MB)
- 4. Depth, Stride and Padding.vtt (8.2 KB)
- 5. ReLU.mp4 (10.9 MB)
- 5. ReLU.vtt (2.2 KB)
- 6. Pooling.mp4 (28.8 MB)
- 6. Pooling.vtt (5.7 KB)
- 7. The Fully Connected Layer.mp4 (13.9 MB)
- 7. The Fully Connected Layer.vtt (2.7 KB)
- 8. Training CNNs.mp4 (27.1 MB)
- 8. Training CNNs.vtt (3.7 KB)
- 9. Designing Your Own CNN.mp4 (24.3 MB)
- 9. Designing Your Own CNN.vtt (4.8 KB)
- 1. Introduction to Keras & Tensorflow.mp4 (5.6 MB)
- 1. Introduction to Keras & Tensorflow.vtt (1.2 KB)
- 10. Saving and Loading Your Model.mp4 (29.5 MB)
- 10. Saving and Loading Your Model.vtt (3.9 KB)
- 11. Displaying Your Model Visually.mp4 (25.5 MB)
- 11. Displaying Your Model Visually.vtt (3.8 KB)
- 2. Building a CNN in Keras.mp4 (73.7 MB)
- 2. Building a CNN in Keras.vtt (15.8 KB)
- 3. Building a Handwriting Recognition CNN.mp4 (11.1 MB)
- 3. Building a Handwriting Recognition CNN.vtt (2.2 KB)
- 4. Loading Our Data.mp4 (52.9 MB)
- 4. Loading Our Data.vtt (7.5 KB)
- 5. Getting our data in ‘Shape’.mp4 (33.8 MB)
- 5. Getting our data in ‘Shape’.vtt (5.2 KB)
- 6. Hot One Encoding.mp4 (18.2 MB)
- 6. Hot One Encoding.vtt (3.5 KB)
- 7. Building & Compiling Our Model.mp4 (36.2 MB)
- 7. Building & Compiling Our Model.vtt (4.8 KB)
- 8. Training Our Classifier.mp4 (40.8 MB)
- 8. Training Our Classifier.vtt (6.4 KB)
- 9. Plotting Loss and Accuracy Charts.mp4 (25.6 MB)
- 9. Plotting Loss and Accuracy Charts.vtt (4.1 KB)
- 1. Introduction to Keras & Tensorflow.mp4 (5.6 MB)
- 1. Introduction to Keras & Tensorflow.vtt (1.2 KB)
- 10. Saving and Loading Your Model.mp4 (29.5 MB)
- 10. Saving and Loading Your Model.vtt (3.9 KB)
- 11. Displaying Your Model Visually.mp4 (25.5 MB)
- 11. Displaying Your Model Visually.vtt (3.8 KB)
- 12. Building a Simple Image Classifier using CIFAR10.mp4 (74.3 MB)
- 12. Building a Simple Image Classifier using CIFAR10.vtt (74.4 MB)
- 2. Building a CNN in Keras.mp4 (73.7 MB)
- 2. Building a CNN in Keras.vtt (15.8 KB)
- 3. Building a Handwriting Recognition CNN.mp4 (11.1 MB)
- 3. Building a Handwriting Recognition CNN.vtt (2.2 KB)
- 4. Loading Our Data.mp4 (52.9 MB)
- 4. Loading Our Data.vtt (7.5 KB)
- 5. Getting our data in ‘Shape’.mp4 (33.8 MB)
- 5. Getting our data in ‘Shape’.vtt (5.2 KB)
- 6. Hot One Encoding.mp4 (18.2 MB)
- 6. Hot One Encoding.vtt (3.5 KB)
- 7. Building & Compiling Our Model.mp4 (36.2 MB)
- 7. Building & Compiling Our Model.vtt (4.8 KB)
- 8. Training Our Classifier.mp4 (40.8 MB)
- 8. Training Our Classifier.vtt (6.4 KB)
- 9. Plotting Loss and Accuracy Charts.mp4 (25.6 MB)
- 9. Plotting Loss and Accuracy Charts.vtt (4.1 KB)
- 1. Data Augmentation Chapter Overview.mp4 (3.9 MB)
- 1. Data Augmentation Chapter Overview.vtt (1.3 KB)
- 2. Splitting Data into Test and Training Datasets.mp4 (103.8 MB)
- 2. Splitting Data into Test and Training Datasets.vtt (12.4 KB)
- 3. Train a Cats vs. Dogs Classifier.mp4 (44.8 MB)
- 3. Train a Cats vs. Dogs Classifier.vtt (5.5 KB)
- 4. Boosting Accuracy with Data Augmentation.mp4 (43.4 MB)
- 4. Boosting Accuracy with Data Augmentation.vtt (6.7 KB)
- 5. Types of Data Augmentation.mp4 (52.5 MB)
- 5. Types of Data Augmentation.vtt (7.3 KB)
- 1. Step 1 - Creating a Credit Card Number Dataset.html (12.3 KB)
- 1.1 Credit-Card Number Identification.zip.zip (128.4 KB)
- 1.2 26.Credit-Card.tar.gz.gz (13.3 MB)
- 2. Step 2 - Training Our Model.html (4.7 KB)
- 3. Step 3 - Extracting A Credit Card from the Background.html (8.0 KB)
- 4. Step 4 - Use our Model to Identify the Digits & Display it onto our Credit Card.html (4.1 KB)
- 1. Perform Neural Style Transfer Using OpenCV4.html (4.8 KB)
- 1.1 NeuralStyleTransfer.tar.gz.gz (120.8 MB)
- 1. Using an SSD In OpenCV.html (7.6 KB)
- 1.1 SSDOpenCV.tar.gz.gz (142.6 MB)
- 1. What are Images.mp4 (4.4 MB)
- 1. What are Images.vtt (3.0 KB)
- 2. How are Images Formed.mp4 (6.2 MB)
- 2. How are Images Formed.vtt (4.1 KB)
- 3. Storing Images on Computers.mp4 (10.9 MB)
- 3. Storing Images on Computers.vtt (6.0 KB)
- 4. Getting Started with OpenCV - A Brief OpenCV Intro.mp4 (23.7 MB)
- 4. Getting Started with OpenCV - A Brief OpenCV Intro.vtt (10.6 KB)
- 5. Grayscaling - Converting Color Images To Shades of Gray.mp4 (4.5 MB)
- 5. Grayscaling - Converting Color Images To Shades of Gray.vtt (2.5 KB)
- 6. Understanding Color Spaces - The Many Ways Color Images Are Stored Digitally.mp4 (30.6 MB)
- 6. Understanding Color Spaces - The Many Ways Color Images Are Stored Digitally.vtt (14.8 KB)
- 7. Histogram representation of Images - Visualizing the Components of Images.mp4 (11.7 MB)
- 7. Histogram representation of Images - Visualizing the Components of Images.vtt (5.4 KB)
- 8. Creating Images & Drawing on Images - Make Squares, Circles, Polygons & Add Text.mp4 (9.8 MB)
- 8. Creating Images & Drawing on Images - Make Squares, Circles, Polygons & Add Text.vtt (4.7 KB)
- 1. Colorizing Black and White Images Using Caffe.html (6.4 KB)
- 1.1 colorize.tar.gz.gz (114.6 MB)
- 1. Transformations, Affine And Non-Affine - The Many Ways We Can Change Images.mp4 (3.6 MB)
- 1. Transformations, Affine And Non-Affine - The Many Ways We Can Change Images.vtt (3.1 KB)
- 10. Sharpening - Reverse Your Images Blurs.mp4 (4.4 MB)
- 10. Sharpening - Reverse Your Images Blurs.vtt (2.3 KB)
- 11. Thresholding (Binarization) - Making Certain Images Areas Black or White.mp4 (17.7 MB)
- 11. Thresholding (Binarization) - Making Certain Images Areas Black or White.vtt (10.6 KB)
- 12. Dilation, Erosion, OpeningClosing - Importance of ThickeningThinning Lines.mp4 (10.1 MB)
- 12. Dilation, Erosion, OpeningClosing - Importance of ThickeningThinning Lines.vtt (6.2 KB)
- 13. Edge Detection using Image Gradients & Canny Edge Detection.mp4 (15.3 MB)
- 13. Edge Detection using Image Gradients & Canny Edge Detection.vtt (6.4 KB)
- 14. Perspective & Affine Transforms - Take An Off Angle Shot & Make It Look Top Down.mp4 (8.1 MB)
- 14. Perspective & Affine Transforms - Take An Off Angle Shot & Make It Look Top Down.vtt (4.9 KB)
- 15. Mini Project 1 - Live Sketch App - Turn your Webcam Feed Into A Pencil Drawing.mp4 (14.3 MB)
- 15. Mini Project 1 - Live Sketch App - Turn your Webcam Feed Into A Pencil Drawing.vtt (6.5 KB)
- 2. Image Translations - Moving Images Up, Down. Left And Right.mp4 (5.0 MB)
- 2. Image Translations - Moving Images Up, Down. Left And Right.vtt (3.5 KB)
- 3. Rotations - How To Spin Your Image Around And Do Horizontal Flipping.mp4 (6.1 MB)
- 3. Rotations - How To Spin Your Image Around And Do Horizontal Flipping.vtt (4.1 KB)
- 4. Scaling, Re-sizing and Interpolations - Understand How Re-Sizing Affects Quality.mp4 (8.7 MB)
- 4. Scaling, Re-sizing and Interpolations - Understand How Re-Sizing Affects Quality.vtt (5.7 KB)
- 5. Image Pyramids - Another Way of Re-Sizing.mp4 (3.5 MB)
- 5. Image Pyramids - Another Way of Re-Sizing.vtt (2.4 KB)
- 6. Cropping - Cut Out The Image The Regions You Want or Don't Want.mp4 (5.6 MB)
- 6. Cropping - Cut Out The Image The Regions You Want or Don't Want.vtt (3.3 KB)
- 7. Arithmetic Operations - Brightening and Darkening Images.mp4 (8.0 MB)
- 7. Arithmetic Operations - Brightening and Darkening Images.vtt (4.5 KB)
- 8. Bitwise Operations - How Image Masking Works.mp4 (7.7 MB)
- 8. Bitwise Operations - How Image Masking Works.vtt (4.8 KB)
- 9. Blurring - The Many Ways We Can Blur Images & Why It's Important.mp4 (16.2 MB)
- 9. Blurring - The Many Ways We Can Blur Images & Why It's Important.vtt (9.5 KB)
- 1. Segmentation and Contours - Extract Defined Shapes In Your Image.mp4 (22.4 MB)
- 1. Segmentation and Contours - Extract Defined Shapes In Your Image.vtt (14.6 KB)
- 2. Sorting Contours - Sort Those Shapes By Size.mp4 (29.8 MB)
- 2. Sorting Contours - Sort Those Shapes By Size.vtt (17.3 KB)
- 3. Approximating Contours & Finding Their Convex Hull - Clean Up Messy Contours.mp4 (13.5 MB)
- 3. Approximating Contours & Finding Their Convex Hull - Clean Up Messy Contours.vtt (7.1 KB)
- 4. Matching Contour Shapes - Match Shapes In Images Even When Distorted.mp4 (15.2 MB)
- 4. Matching Contour Shapes - Match Shapes In Images Even When Distorted.vtt (6.9 KB)
- 5. Mini Project 2 - Identify Shapes (Square, Rectangle, Circle, Triangle & Stars).mp4 (13.1 MB)
- 5. Mini Project 2 - Identify Shapes (Square, Rectangle, Circle, Triangle & Stars).vtt (7.1 KB)
- 6. Line Detection - Detect Straight Lines E.g. The Lines On A Sudoku Game.mp4 (17.7 MB)
- 6. Line Detection - Detect Straight Lines E.g. The Lines On A Sudoku Game.vtt (8.1 KB)
- 7. Circle Detection.html (1.8 KB)
- 8. Blob Detection - Detect The Center of Flowers.mp4 (7.5 MB)
- 8. Blob Detection - Detect The Center of Flowers.vtt (4.5 KB)
- 9. Mini Project 3 - Counting Circles and Ellipses.mp4 (14.2 MB)
- 9. Mini Project 3 - Counting Circles and Ellipses.vtt (7.8 KB)
- 1. Object Detection Overview.mp4 (7.4 MB)
- 1. Object Detection Overview.vtt (4.4 KB)
- 2. Mini Project # 4 - Finding Waldo (Quickly Find A Specific Pattern In An Image).mp4 (7.3 MB)
- 2. Mini Project # 4 - Finding Waldo (Quickly Find A Specific Pattern In An Image).vtt (3.9 KB)
- 3. Feature Description Theory - How We Digitally Represent Objects.mp4 (8.9 MB)
- 3. Feature Description Theory - How We Digitally Represent Objects.vtt (6.6 KB)
- 4. Finding Corners - Why Corners In Images Are Important to Object Detection.mp4 (14.8 MB)
- 4. Finding Corners - Why Corners In Images Are Important to Object Detection.vtt (9.1 KB)
- 5. SIFT, SURF, FAST, BRIEF & ORB - Learn The Different Ways To Get Image Features.mp4 (25.5 MB)
- 5. SIFT, SURF, FAST, BRIEF & ORB - Learn The Different Ways To Get Image Features.vtt (13.4 KB)
- 6. Mini Project 5 - Object Detection - Detect A Specific Object Using Your Webcam.mp4 (43.4 MB)
- 6. Mini Project 5 - Object Detection - Detect A Specific Object Using Your Webcam.vtt (19.3 KB)
- 7. Histogram of Oriented Gradients - Another Novel Way Of Representing Images.mp4 (19.9 MB)
- 7. Histogram of Oriented Gradients - Another Novel Way Of Representing Images.vtt (10.4 KB)
- 1. HAAR Cascade Classifiers - Learn How Classifiers Work And Why They're Amazing.mp4 (10.1 MB)
- 1. HAAR Cascade Classifiers - Learn How Classifiers Work And Why They're Amazing.vtt (7.0 KB)
- 2. Face and Eye Detection - Detect Human Faces and Eyes In Any Image.mp4 (25.0 MB)
- 2. Face and Eye Detection - Detect Human Faces and Eyes In Any Image.vtt (14.4 KB)
- 3. Mini Project 6 - Car and Pedestrian Detection in Videos.mp4 (15.2 MB)
- 3. Mini Project 6 - Car and Pedestrian Detection in Videos.vtt (9.1 KB)
- 1. Face Analysis and Filtering - Identify Face Outline, Lips, Eyes Even Eyebrows.mp4 (28.3 MB)
- 1. Face Analysis and Filtering - Identify Face Outline, Lips, Eyes Even Eyebrows.vtt (14.7 KB)
- 2. Merging Faces (Face Swaps) - Combine Two Faces For Fun & Sometimes Scary Results.mp4 (28.7 MB)
- 2. Merging Faces (Face Swaps) - Combine Two Faces For Fun & Sometimes Scary Results.vtt (12.5 KB)
- 2.1 Student Contribution of PY3 compatible version (Thanks to Vo!).html (0.1 KB)
- 3. Mini Project 7 - Live Face Swapper (like MSQRD & Snapchat filters!!!).mp4 (14.5 MB)
- 3. Mini Project 7 - Live Face Swapper (like MSQRD & Snapchat filters!!!).vtt (7.9 KB)
- 4. Mini Project 8 - Yawn Detector and Counter.mp4 (30.0 MB)
- 4. Mini Project 8 - Yawn Detector and Counter.vtt (10.3 KB)
- 1. Machine Learning Overview - What Is It & Why It's Important to Computer Vision.mp4 (16.2 MB)
- 1. Machine Learning Overview - What Is It & Why It's Important to Computer Vision.vtt (11.6 KB)
- 2. Mini Project 9 - Handwritten Digit Classification.mp4 (60.5 MB)
- 2. Mini Project 9 - Handwritten Digit Classification.vtt (25.8 KB)
- 3. Mini Project # 10 - Facial Recognition - Make Your Computer Recognize You.mp4 (32.0 MB)
- 3. Mini Project # 10 - Facial Recognition - Make Your Computer Recognize You.vtt (15.2 KB)
- 1. Filtering by Color.mp4 (18.6 MB)
- 1. Filtering by Color.vtt (7.8 KB)
- 2. Background Subtraction and Foreground Subtraction.mp4 (29.5 MB)
- 2. Background Subtraction and Foreground Subtraction.vtt (9.0 KB)
- 3. Using Meanshift for Object Tracking.mp4 (14.5 MB)
- 3. Using Meanshift for Object Tracking.vtt (6.2 KB)
- 4. Using CAMshift for Object Tracking.mp4 (9.9 MB)
- 4. Using CAMshift for Object Tracking.vtt (5.2 KB)
- 5. Optical Flow - Track Moving Objects In Videos.mp4 (19.8 MB)
- 5. Optical Flow - Track Moving Objects In Videos.vtt (9.3 KB)
- 6. Mini Project # 11 - Ball Tracking.mp4 (14.2 MB)
- 6. Mini Project # 11 - Ball Tracking.vtt (6.4 KB)
- [Tutorialsplanet.NET].url (0.1 KB)
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