[Tutorialsplanet.NET] Udemy - Master Computer Vision™ OpenCV4 in Python with Deep Learning

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[Tutorialsplanet.NET] Udemy - Master Computer Vision™ OpenCV4 in Python with Deep Learning

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文件列表

  • 19. BONUS - Object Detection - Use SSDs (Single Shot Detector) for Detecting Objects/1.1 SSDOpenCV.tar.gz.gz 149.5 MB
  • 12/1.1 DeepLearningCV_MOCV.tar.gz.gz 142.0 MB
  • 1. Course Introduction and Setup/9.1 MasteringComputerVision_V1.03.zip.zip 133.7 MB
  • 18. BONUS - Neural Style Transfer with OpenCV/1.1 NeuralStyleTransfer.tar.gz.gz 126.7 MB
  • 13/9. Regularization, Overfitting, Generalization and Test Datasets.mp4 124.1 MB
  • 1. Course Introduction and Setup/5.1 masteropencv4_v1.5.tar.gz.gz 121.8 MB
  • 20. BONUS - Colorize Black and White Images/1.1 colorize.tar.gz.gz 120.1 MB
  • 16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/2. Splitting Data into Test and Training Datasets.mp4 108.8 MB
  • 14/3. Convolutions & Image Features.mp4 107.4 MB
  • 13/8. Backpropagation & Learning Rates – A Worked Example.mp4 104.7 MB
  • 12/1. Setup your Deep Learning Virtual Machine.mp4 81.2 MB
  • 15/12. Building a Simple Image Classifier using CIFAR10.vtt 78.0 MB
  • 15/12. Building a Simple Image Classifier using CIFAR10.mp4 78.0 MB
  • 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/2. Building a CNN in Keras.mp4 77.3 MB
  • 15/2. Building a CNN in Keras.mp4 77.3 MB
  • 13/7. Training Part 2 – Backpropagation and Gradient Descent.mp4 76.2 MB
  • 12/2. Intro to Handwritten Digit Classification (MNIST).mp4 70.6 MB
  • 13/4. Forward Propagation.mp4 66.4 MB
  • 8. Simple Machine Learning using OpenCV/2. Mini Project 9 - Handwritten Digit Classification.mp4 63.5 MB
  • 13/5. Activation Functions.mp4 62.6 MB
  • 13/6. Training Part 1 – Loss Functions.mp4 61.3 MB
  • 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/4. Loading Our Data.mp4 55.5 MB
  • 15/4. Loading Our Data.mp4 55.5 MB
  • 16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/5. Types of Data Augmentation.mp4 55.0 MB
  • 13/2. Machine Learning Overview.vtt 54.8 MB
  • 13/2. Machine Learning Overview.mp4 54.8 MB
  • 13/11. Measuring Performance and the Confusion Matrix.mp4 54.6 MB
  • 14/4. Depth, Stride and Padding.mp4 48.8 MB
  • 16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/3. Train a Cats vs. Dogs Classifier.mp4 47.0 MB
  • 16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/4. Boosting Accuracy with Data Augmentation.mp4 45.6 MB
  • 5. Object Detection in OpenCV/6. Mini Project 5 - Object Detection - Detect A Specific Object Using Your Webcam.mp4 45.6 MB
  • 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/8. Training Our Classifier.mp4 42.8 MB
  • 15/8. Training Our Classifier.mp4 42.8 MB
  • 1. Course Introduction and Setup/5. Recomended - Setup your OpenCV4.0.1 Virtual Machine.mp4 39.4 MB
  • 14/2. Introduction to Convolutional Neural Networks (CNNs).mp4 38.5 MB
  • 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/7. Building & Compiling Our Model.mp4 38.0 MB
  • 15/7. Building & Compiling Our Model.mp4 38.0 MB
  • 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/5. Getting our data in ‘Shape’.mp4 35.5 MB
  • 15/5. Getting our data in ‘Shape’.mp4 35.5 MB
  • 8. Simple Machine Learning using OpenCV/3. Mini Project # 10 - Facial Recognition - Make Your Computer Recognize You.mp4 33.5 MB
  • 2. Basics of Computer Vision and OpenCV/6. Understanding Color Spaces - The Many Ways Color Images Are Stored Digitally.mp4 32.1 MB
  • 7/4. Mini Project 8 - Yawn Detector and Counter.mp4 31.4 MB
  • 4. Image Segmentation & Contours/2. Sorting Contours - Sort Those Shapes By Size.mp4 31.2 MB
  • 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/10. Saving and Loading Your Model.mp4 31.0 MB
  • 15/10. Saving and Loading Your Model.mp4 31.0 MB
  • 9. Object Tracking & Motion Analysis/2. Background Subtraction and Foreground Subtraction.mp4 31.0 MB
  • 14/6. Pooling.mp4 30.2 MB
  • 7/2. Merging Faces (Face Swaps) - Combine Two Faces For Fun & Sometimes Scary Results.mp4 30.1 MB
  • 7/1. Face Analysis and Filtering - Identify Face Outline, Lips, Eyes Even Eyebrows.mp4 29.7 MB
  • 12/3. Intro to Multiple Image Classification (CIFAR10).mp4 28.7 MB
  • 13/12. Review and Best Practices.mp4 28.5 MB
  • 14/8. Training CNNs.mp4 28.4 MB
  • 12/1.3 Deep Learning Computer Vision OCV.pdf.pdf 27.9 MB
  • 13/10. Epochs, Iterations and Batch Sizes.mp4 27.4 MB
  • 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/9. Plotting Loss and Accuracy Charts.mp4 26.8 MB
  • 15/9. Plotting Loss and Accuracy Charts.mp4 26.8 MB
  • 5. Object Detection in OpenCV/5. SIFT, SURF, FAST, BRIEF & ORB - Learn The Different Ways To Get Image Features.mp4 26.7 MB
  • 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/11. Displaying Your Model Visually.mp4 26.7 MB
  • 15/11. Displaying Your Model Visually.mp4 26.7 MB
  • 6/2. Face and Eye Detection - Detect Human Faces and Eyes In Any Image.mp4 26.2 MB
  • 14/9. Designing Your Own CNN.mp4 25.5 MB
  • 1. Course Introduction and Setup/6. Installation of OpenCV & Python on Windows.mp4 25.1 MB
  • 2. Basics of Computer Vision and OpenCV/4. Getting Started with OpenCV - A Brief OpenCV Intro.mp4 24.8 MB
  • 13/3. Neural Networks Explained.mp4 24.5 MB
  • 4. Image Segmentation & Contours/1. Segmentation and Contours - Extract Defined Shapes In Your Image.mp4 23.5 MB
  • 5. Object Detection in OpenCV/7. Histogram of Oriented Gradients - Another Novel Way Of Representing Images.mp4 20.9 MB
  • 9. Object Tracking & Motion Analysis/5. Optical Flow - Track Moving Objects In Videos.mp4 20.8 MB
  • 9. Object Tracking & Motion Analysis/1. Filtering by Color.mp4 19.6 MB
  • 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/6. Hot One Encoding.mp4 19.1 MB
  • 15/6. Hot One Encoding.mp4 19.1 MB
  • 4. Image Segmentation & Contours/6. Line Detection - Detect Straight Lines E.g. The Lines On A Sudoku Game.mp4 18.5 MB
  • 3. Image Manipulations & Processing/11. Thresholding (Binarization) - Making Certain Images Areas Black or White.mp4 18.5 MB
  • 8. Simple Machine Learning using OpenCV/1. Machine Learning Overview - What Is It & Why It's Important to Computer Vision.mp4 17.0 MB
  • 3. Image Manipulations & Processing/9. Blurring - The Many Ways We Can Blur Images & Why It's Important.mp4 17.0 MB
  • 11. Conclusion/2. Latest Advances, 12 Startup Ideas & Implementing Computer VIsion in Mobile Apps.mp4 16.4 MB
  • 3. Image Manipulations & Processing/13. Edge Detection using Image Gradients & Canny Edge Detection.mp4 16.0 MB
  • 4. Image Segmentation & Contours/4. Matching Contour Shapes - Match Shapes In Images Even When Distorted.mp4 16.0 MB
  • 6/3. Mini Project 6 - Car and Pedestrian Detection in Videos.mp4 16.0 MB
  • 5. Object Detection in OpenCV/4. Finding Corners - Why Corners In Images Are Important to Object Detection.mp4 15.5 MB
  • 10. Computational Photography & Make a License Plate Reader/1. Mini Project # 12 - Photo-Restoration.mp4 15.4 MB
  • 7/3. Mini Project 7 - Live Face Swapper (like MSQRD & Snapchat filters!!!).mp4 15.2 MB
  • 9. Object Tracking & Motion Analysis/3. Using Meanshift for Object Tracking.mp4 15.2 MB
  • 3. Image Manipulations & Processing/15. Mini Project 1 - Live Sketch App - Turn your Webcam Feed Into A Pencil Drawing.mp4 15.0 MB
  • 4. Image Segmentation & Contours/9. Mini Project 3 - Counting Circles and Ellipses.mp4 14.9 MB
  • 9. Object Tracking & Motion Analysis/6. Mini Project # 11 - Ball Tracking.mp4 14.9 MB
  • 14/7. The Fully Connected Layer.mp4 14.5 MB
  • 4. Image Segmentation & Contours/3. Approximating Contours & Finding Their Convex Hull - Clean Up Messy Contours.mp4 14.1 MB
  • 17/1.2 26.Credit-Card.tar.gz.gz 14.0 MB
  • 4. Image Segmentation & Contours/5. Mini Project 2 - Identify Shapes (Square, Rectangle, Circle, Triangle & Stars).mp4 13.8 MB
  • 2. Basics of Computer Vision and OpenCV/7. Histogram representation of Images - Visualizing the Components of Images.mp4 12.3 MB
  • 1. Course Introduction and Setup/1. Introduction.mp4 12.2 MB
  • 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/3. Building a Handwriting Recognition CNN.mp4 11.7 MB
  • 15/3. Building a Handwriting Recognition CNN.mp4 11.7 MB
  • 2. Basics of Computer Vision and OpenCV/3. Storing Images on Computers.mp4 11.4 MB
  • 14/5. ReLU.mp4 11.4 MB
  • 1. Course Introduction and Setup/3. About this course.mp4 10.8 MB
  • 6/1. HAAR Cascade Classifiers - Learn How Classifiers Work And Why They're Amazing.mp4 10.6 MB
  • 3. Image Manipulations & Processing/12. Dilation, Erosion, OpeningClosing - Importance of ThickeningThinning Lines.mp4 10.6 MB
  • 9. Object Tracking & Motion Analysis/4. Using CAMshift for Object Tracking.mp4 10.4 MB
  • 2. Basics of Computer Vision and OpenCV/8. Creating Images & Drawing on Images - Make Squares, Circles, Polygons & Add Text.mp4 10.3 MB
  • 5. Object Detection in OpenCV/3. Feature Description Theory - How We Digitally Represent Objects.mp4 9.3 MB
  • 3. Image Manipulations & Processing/4. Scaling, Re-sizing and Interpolations - Understand How Re-Sizing Affects Quality.mp4 9.1 MB
  • 3. Image Manipulations & Processing/14. Perspective & Affine Transforms - Take An Off Angle Shot & Make It Look Top Down.mp4 8.5 MB
  • 3. Image Manipulations & Processing/7. Arithmetic Operations - Brightening and Darkening Images.mp4 8.4 MB
  • 13/1. Neural Networks Chapter Overview.mp4 8.2 MB
  • 3. Image Manipulations & Processing/8. Bitwise Operations - How Image Masking Works.mp4 8.1 MB
  • 4. Image Segmentation & Contours/8. Blob Detection - Detect The Center of Flowers.mp4 7.9 MB
  • 5. Object Detection in OpenCV/1. Object Detection Overview.mp4 7.7 MB
  • 5. Object Detection in OpenCV/2. Mini Project # 4 - Finding Waldo (Quickly Find A Specific Pattern In An Image).mp4 7.6 MB
  • 1. Course Introduction and Setup/2. Introduction to Computer Vision and OpenCV.mp4 7.5 MB
  • 2. Basics of Computer Vision and OpenCV/2. How are Images Formed.mp4 6.5 MB
  • 3. Image Manipulations & Processing/3. Rotations - How To Spin Your Image Around And Do Horizontal Flipping.mp4 6.4 MB
  • 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/1. Introduction to Keras & Tensorflow.mp4 5.9 MB
  • 15/1. Introduction to Keras & Tensorflow.mp4 5.9 MB
  • 3. Image Manipulations & Processing/6. Cropping - Cut Out The Image The Regions You Want or Don't Want.mp4 5.8 MB
  • 14/1. Convolutional Neural Networks Chapter Overview.mp4 5.4 MB
  • 3. Image Manipulations & Processing/2. Image Translations - Moving Images Up, Down. Left And Right.mp4 5.2 MB
  • 1. Course Introduction and Setup/9. Set up course materials (DOWNLOAD LINK BELOW) - Not needed if using the new VM.mp4 4.8 MB
  • 2. Basics of Computer Vision and OpenCV/5. Grayscaling - Converting Color Images To Shades of Gray.mp4 4.7 MB
  • 2. Basics of Computer Vision and OpenCV/1. What are Images.mp4 4.6 MB
  • 3. Image Manipulations & Processing/10. Sharpening - Reverse Your Images Blurs.mp4 4.6 MB
  • 11. Conclusion/1. Course Summary and how to become an Expert.mp4 4.4 MB
  • 16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/1. Data Augmentation Chapter Overview.mp4 4.1 MB
  • 3. Image Manipulations & Processing/1. Transformations, Affine And Non-Affine - The Many Ways We Can Change Images.mp4 3.8 MB
  • 3. Image Manipulations & Processing/5. Image Pyramids - Another Way of Re-Sizing.mp4 3.7 MB
  • 17/1.1 Credit-Card Number Identification.zip.zip 131.5 kB
  • 11. Conclusion/1.1 ResearchPapersandURLS.pdf.pdf 99.0 kB
  • 8. Simple Machine Learning using OpenCV/2. Mini Project 9 - Handwritten Digit Classification.vtt 26.4 kB
  • 10. Computational Photography & Make a License Plate Reader/2.1 Lecture11.1 Automatic Number-Plate Recognition.zip.zip 24.3 kB
  • 1. Course Introduction and Setup/6.1 Windows OpenCV Installation.pdf.pdf 24.1 kB
  • 5. Object Detection in OpenCV/6. Mini Project 5 - Object Detection - Detect A Specific Object Using Your Webcam.vtt 19.8 kB
  • 13/9. Regularization, Overfitting, Generalization and Test Datasets.vtt 18.8 kB
  • 4. Image Segmentation & Contours/2. Sorting Contours - Sort Those Shapes By Size.vtt 17.7 kB
  • 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/2. Building a CNN in Keras.vtt 16.2 kB
  • 15/2. Building a CNN in Keras.vtt 16.2 kB
  • 13/8. Backpropagation & Learning Rates – A Worked Example.vtt 15.9 kB
  • 14/3. Convolutions & Image Features.vtt 15.7 kB
  • 8. Simple Machine Learning using OpenCV/3. Mini Project # 10 - Facial Recognition - Make Your Computer Recognize You.vtt 15.6 kB
  • 2. Basics of Computer Vision and OpenCV/6. Understanding Color Spaces - The Many Ways Color Images Are Stored Digitally.vtt 15.1 kB
  • 7/1. Face Analysis and Filtering - Identify Face Outline, Lips, Eyes Even Eyebrows.vtt 15.1 kB
  • 4. Image Segmentation & Contours/1. Segmentation and Contours - Extract Defined Shapes In Your Image.vtt 14.9 kB
  • 6/2. Face and Eye Detection - Detect Human Faces and Eyes In Any Image.vtt 14.8 kB
  • 5. Object Detection in OpenCV/5. SIFT, SURF, FAST, BRIEF & ORB - Learn The Different Ways To Get Image Features.vtt 13.7 kB
  • 7/2. Merging Faces (Face Swaps) - Combine Two Faces For Fun & Sometimes Scary Results.vtt 12.8 kB
  • 12/1. Setup your Deep Learning Virtual Machine.vtt 12.7 kB
  • 16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/2. Splitting Data into Test and Training Datasets.vtt 12.7 kB
  • 17/1. Step 1 - Creating a Credit Card Number Dataset.html 12.6 kB
  • 13/7. Training Part 2 – Backpropagation and Gradient Descent.vtt 12.0 kB
  • 8. Simple Machine Learning using OpenCV/1. Machine Learning Overview - What Is It & Why It's Important to Computer Vision.vtt 11.9 kB
  • 1. Course Introduction and Setup/6. Installation of OpenCV & Python on Windows.vtt 11.4 kB
  • 3. Image Manipulations & Processing/11. Thresholding (Binarization) - Making Certain Images Areas Black or White.vtt 10.9 kB
  • 2. Basics of Computer Vision and OpenCV/4. Getting Started with OpenCV - A Brief OpenCV Intro.vtt 10.8 kB
  • 13/6. Training Part 1 – Loss Functions.vtt 10.7 kB
  • 5. Object Detection in OpenCV/7. Histogram of Oriented Gradients - Another Novel Way Of Representing Images.vtt 10.6 kB
  • 7/4. Mini Project 8 - Yawn Detector and Counter.vtt 10.6 kB
  • 13/5. Activation Functions.vtt 10.4 kB
  • 13/4. Forward Propagation.vtt 10.1 kB
  • 3. Image Manipulations & Processing/9. Blurring - The Many Ways We Can Blur Images & Why It's Important.vtt 9.7 kB
  • 11. Conclusion/2. Latest Advances, 12 Startup Ideas & Implementing Computer VIsion in Mobile Apps.vtt 9.6 kB
  • 9. Object Tracking & Motion Analysis/5. Optical Flow - Track Moving Objects In Videos.vtt 9.5 kB
  • 5. Object Detection in OpenCV/4. Finding Corners - Why Corners In Images Are Important to Object Detection.vtt 9.4 kB
  • 6/3. Mini Project 6 - Car and Pedestrian Detection in Videos.vtt 9.3 kB
  • 9. Object Tracking & Motion Analysis/2. Background Subtraction and Foreground Subtraction.vtt 9.2 kB
  • 13/11. Measuring Performance and the Confusion Matrix.vtt 8.8 kB
  • 14/4. Depth, Stride and Padding.vtt 8.4 kB
  • 10. Computational Photography & Make a License Plate Reader/1. Mini Project # 12 - Photo-Restoration.vtt 8.4 kB
  • 4. Image Segmentation & Contours/6. Line Detection - Detect Straight Lines E.g. The Lines On A Sudoku Game.vtt 8.3 kB
  • 17/3. Step 3 - Extracting A Credit Card from the Background.html 8.2 kB
  • 7/3. Mini Project 7 - Live Face Swapper (like MSQRD & Snapchat filters!!!).vtt 8.1 kB
  • 4. Image Segmentation & Contours/9. Mini Project 3 - Counting Circles and Ellipses.vtt 8.0 kB
  • 9. Object Tracking & Motion Analysis/1. Filtering by Color.vtt 8.0 kB
  • 19. BONUS - Object Detection - Use SSDs (Single Shot Detector) for Detecting Objects/1. Using an SSD In OpenCV.html 7.7 kB
  • 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/4. Loading Our Data.vtt 7.7 kB
  • 15/4. Loading Our Data.vtt 7.7 kB
  • 16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/5. Types of Data Augmentation.vtt 7.5 kB
  • 4. Image Segmentation & Contours/5. Mini Project 2 - Identify Shapes (Square, Rectangle, Circle, Triangle & Stars).vtt 7.3 kB
  • 1. Course Introduction and Setup/3. About this course.vtt 7.3 kB
  • 4. Image Segmentation & Contours/3. Approximating Contours & Finding Their Convex Hull - Clean Up Messy Contours.vtt 7.3 kB
  • 12/2. Intro to Handwritten Digit Classification (MNIST).vtt 7.2 kB
  • 6/1. HAAR Cascade Classifiers - Learn How Classifiers Work And Why They're Amazing.vtt 7.1 kB
  • 4. Image Segmentation & Contours/4. Matching Contour Shapes - Match Shapes In Images Even When Distorted.vtt 7.0 kB
  • 16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/4. Boosting Accuracy with Data Augmentation.vtt 6.9 kB
  • 5. Object Detection in OpenCV/3. Feature Description Theory - How We Digitally Represent Objects.vtt 6.7 kB
  • 3. Image Manipulations & Processing/15. Mini Project 1 - Live Sketch App - Turn your Webcam Feed Into A Pencil Drawing.vtt 6.7 kB
  • 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/8. Training Our Classifier.vtt 6.6 kB
  • 15/8. Training Our Classifier.vtt 6.6 kB
  • 14/2. Introduction to Convolutional Neural Networks (CNNs).vtt 6.6 kB
  • 20. BONUS - Colorize Black and White Images/1. Colorizing Black and White Images Using Caffe.html 6.6 kB
  • 9. Object Tracking & Motion Analysis/6. Mini Project # 11 - Ball Tracking.vtt 6.5 kB
  • 3. Image Manipulations & Processing/13. Edge Detection using Image Gradients & Canny Edge Detection.vtt 6.5 kB
  • 9. Object Tracking & Motion Analysis/3. Using Meanshift for Object Tracking.vtt 6.4 kB
  • 3. Image Manipulations & Processing/12. Dilation, Erosion, OpeningClosing - Importance of ThickeningThinning Lines.vtt 6.3 kB
  • 2. Basics of Computer Vision and OpenCV/3. Storing Images on Computers.vtt 6.1 kB
  • 3. Image Manipulations & Processing/4. Scaling, Re-sizing and Interpolations - Understand How Re-Sizing Affects Quality.vtt 5.8 kB
  • 14/6. Pooling.vtt 5.8 kB
  • 16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/3. Train a Cats vs. Dogs Classifier.vtt 5.6 kB
  • 2. Basics of Computer Vision and OpenCV/7. Histogram representation of Images - Visualizing the Components of Images.vtt 5.5 kB
  • 1. Course Introduction and Setup/5. Recomended - Setup your OpenCV4.0.1 Virtual Machine.vtt 5.5 kB
  • 9. Object Tracking & Motion Analysis/4. Using CAMshift for Object Tracking.vtt 5.3 kB
  • 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/5. Getting our data in ‘Shape’.vtt 5.3 kB
  • 15/5. Getting our data in ‘Shape’.vtt 5.3 kB
  • 13/12. Review and Best Practices.vtt 5.3 kB
  • 3. Image Manipulations & Processing/14. Perspective & Affine Transforms - Take An Off Angle Shot & Make It Look Top Down.vtt 5.0 kB
  • 3. Image Manipulations & Processing/8. Bitwise Operations - How Image Masking Works.vtt 5.0 kB
  • 18. BONUS - Neural Style Transfer with OpenCV/1. Perform Neural Style Transfer Using OpenCV4.html 4.9 kB
  • 14/9. Designing Your Own CNN.vtt 4.9 kB
  • 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/7. Building & Compiling Our Model.vtt 4.9 kB
  • 15/7. Building & Compiling Our Model.vtt 4.9 kB
  • 17/2. Step 2 - Training Our Model.html 4.8 kB
  • 2. Basics of Computer Vision and OpenCV/8. Creating Images & Drawing on Images - Make Squares, Circles, Polygons & Add Text.vtt 4.8 kB
  • 13/3. Neural Networks Explained.vtt 4.8 kB
  • 4. Image Segmentation & Contours/8. Blob Detection - Detect The Center of Flowers.vtt 4.6 kB
  • 3. Image Manipulations & Processing/7. Arithmetic Operations - Brightening and Darkening Images.vtt 4.6 kB
  • 5. Object Detection in OpenCV/1. Object Detection Overview.vtt 4.5 kB
  • 13/10. Epochs, Iterations and Batch Sizes.vtt 4.4 kB
  • 1. Course Introduction and Setup/7. Installation of OpenCV & Python on Mac.html 4.3 kB
  • 17/4. Step 4 - Use our Model to Identify the Digits & Display it onto our Credit Card.html 4.2 kB
  • 2. Basics of Computer Vision and OpenCV/2. How are Images Formed.vtt 4.2 kB
  • 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/9. Plotting Loss and Accuracy Charts.vtt 4.2 kB
  • 15/9. Plotting Loss and Accuracy Charts.vtt 4.2 kB
  • 1. Course Introduction and Setup/2. Introduction to Computer Vision and OpenCV.vtt 4.2 kB
  • 3. Image Manipulations & Processing/3. Rotations - How To Spin Your Image Around And Do Horizontal Flipping.vtt 4.1 kB
  • 11. Conclusion/1. Course Summary and how to become an Expert.vtt 4.1 kB
  • 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/10. Saving and Loading Your Model.vtt 4.0 kB
  • 15/10. Saving and Loading Your Model.vtt 4.0 kB
  • 5. Object Detection in OpenCV/2. Mini Project # 4 - Finding Waldo (Quickly Find A Specific Pattern In An Image).vtt 4.0 kB
  • 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/11. Displaying Your Model Visually.vtt 3.9 kB
  • 15/11. Displaying Your Model Visually.vtt 3.9 kB
  • 12/3. Intro to Multiple Image Classification (CIFAR10).vtt 3.9 kB
  • 1. Course Introduction and Setup/8. Installation of OpenCV & Python on Linux.html 3.8 kB
  • 14/8. Training CNNs.vtt 3.8 kB
  • 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/6. Hot One Encoding.vtt 3.6 kB
  • 15/6. Hot One Encoding.vtt 3.6 kB
  • 3. Image Manipulations & Processing/2. Image Translations - Moving Images Up, Down. Left And Right.vtt 3.6 kB
  • 3. Image Manipulations & Processing/6. Cropping - Cut Out The Image The Regions You Want or Don't Want.vtt 3.4 kB
  • 3. Image Manipulations & Processing/1. Transformations, Affine And Non-Affine - The Many Ways We Can Change Images.vtt 3.1 kB
  • 2. Basics of Computer Vision and OpenCV/1. What are Images.vtt 3.1 kB
  • 14/7. The Fully Connected Layer.vtt 2.8 kB
  • 1. Course Introduction and Setup/4. READ THIS - Guide to installing and setting up your OpenCV4.0.1 Virtual Machine.html 2.7 kB
  • 1. Course Introduction and Setup/1. Introduction.vtt 2.6 kB
  • 2. Basics of Computer Vision and OpenCV/5. Grayscaling - Converting Color Images To Shades of Gray.vtt 2.6 kB
  • 3. Image Manipulations & Processing/5. Image Pyramids - Another Way of Re-Sizing.vtt 2.4 kB
  • 3. Image Manipulations & Processing/10. Sharpening - Reverse Your Images Blurs.vtt 2.3 kB
  • 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/3. Building a Handwriting Recognition CNN.vtt 2.3 kB
  • 15/3. Building a Handwriting Recognition CNN.vtt 2.3 kB
  • 14/5. ReLU.vtt 2.3 kB
  • 1. Course Introduction and Setup/9. Set up course materials (DOWNLOAD LINK BELOW) - Not needed if using the new VM.vtt 2.2 kB
  • 13/1. Neural Networks Chapter Overview.vtt 1.9 kB
  • 4. Image Segmentation & Contours/7. Circle Detection.html 1.8 kB
  • 16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/1. Data Augmentation Chapter Overview.vtt 1.4 kB
  • 14/1. Convolutional Neural Networks Chapter Overview.vtt 1.3 kB
  • 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/1. Introduction to Keras & Tensorflow.vtt 1.2 kB
  • 15/1. Introduction to Keras & Tensorflow.vtt 1.2 kB
  • 10. Computational Photography & Make a License Plate Reader/2. Mini Project # 13 - Automatic Number-Plate Recognition (ALPR).html 861 Bytes
  • 1. Course Introduction and Setup/7.1 Guide to troubleshooting Issues with Mac installs.html 148 Bytes
  • 1. Course Introduction and Setup/4.1 Download your OpenCV4 Virtual Machine HERE!.html 143 Bytes
  • 7/2.1 Student Contribution of PY3 compatible version (Thanks to Vo!).html 132 Bytes
  • [Tutorialsplanet.NET].url 128 Bytes
  • 12/1.4 Download Your Deep Learning Virtual Machine HERE.html 127 Bytes
  • 12/1.2 Download VirtualBox.html 102 Bytes

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