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How you can help Team-FTU.txt

/10. Computational Photography & Make a License Plate Reader/

1. Mini Project # 12 - Photo-Restoration.mp4

1. Mini Project # 12 - Photo-Restoration.vtt

2.1 Lecture11.1 Automatic Number-Plate Recognition.zip.zip

2. Mini Project # 13 - Automatic Number-Plate Recognition (ALPR).html

/11. Conclusion/

1.1 ResearchPapersandURLS.pdf.pdf

1. Course Summary and how to become an Expert.mp4

1. Course Summary and how to become an Expert.vtt

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/

1.1 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

1. Setup your Deep Learning Virtual Machine.mp4

1. Setup your Deep Learning Virtual Machine.vtt

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

/13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/

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

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

/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/

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

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

/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/

1.1 Credit-Card Number Identification.zip.zip

1.2 26.Credit-Card.tar.gz.gz

1. Step 1 - Creating a Credit Card Number Dataset.html

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

/18. BONUS - Neural Style Transfer with OpenCV/

1.1 NeuralStyleTransfer.tar.gz.gz

1. Perform Neural Style Transfer Using OpenCV4.html

/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

/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

4.1 Download your OpenCV4 Virtual Machine HERE!.html

4. READ THIS - Guide to installing and setting up your OpenCV4.0.1 Virtual Machine.html

5.1 masteropencv4_v1.5.tar.gz.gz

5. Recomended - Setup your OpenCV4.0.1 Virtual Machine.mp4

5. Recomended - Setup your OpenCV4.0.1 Virtual Machine.vtt

6.1 Windows OpenCV Installation.pdf.pdf

6. Installation of OpenCV & Python on Windows.mp4

6. Installation of OpenCV & Python on Windows.vtt

7.1 Guide to troubleshooting Issues with Mac installs.html

7. Installation of OpenCV & Python on Mac.html

8. Installation of OpenCV & Python on Linux.html

9.1 MasteringComputerVision_V1.03.zip.zip

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

/20. BONUS - Colorize Black and White Images/

1.1 colorize.tar.gz.gz

1. Colorizing Black and White Images Using Caffe.html

/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/

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

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 Don't Want.mp4

6. Cropping - Cut Out The Image The Regions You Want or Don't 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 It's Important.mp4

9. Blurring - The Many Ways We Can Blur Images & Why It's Important.vtt

/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 They're Amazing.mp4

1. HAAR Cascade Classifiers - Learn How Classifiers Work And Why They're 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

/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

2.1 Student Contribution of PY3 compatible version (Thanks to Vo!).html

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

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 It's Important to Computer Vision.mp4

1. Machine Learning Overview - What Is It & Why It's 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

Total files 243