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[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
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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
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