种子简介

种子名称： [Tutorialsplanet.NET] Udemy - Master Computer Vision™ OpenCV4 in Python with Deep Learning
文件类型： 视频
文件数目： 115个文件
文件大小： 3.08 GB
收录时间： 2023-4-20 21:55
已经下载： 3次
资源热度： 191
最近下载： 2024-5-9 07:28

下载BT种子文件

下载Torrent文件(.torrent) 立即下载

磁力链接下载

magnet:?xt=urn:btih:e8011635f26bb61bdc3daf9ea38ba2ad6248ba67&dn=[Tutorialsplanet.NET] Udemy - Master Computer Vision™ OpenCV4 in Python with Deep Learning 复制链接到迅雷、QQ旋风进行下载，或者使用百度云离线下载。

喜欢这个种子的人也喜欢

种子包含的文件

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

1. Course Introduction and Setup/1. Introduction.mp411.66MB

1. Course Introduction and Setup/2. Introduction to Computer Vision and OpenCV.mp47.2MB

1. Course Introduction and Setup/3. About this course.mp410.29MB

1. Course Introduction and Setup/5. Recomended - Setup your OpenCV4.0.1 Virtual Machine.mp437.58MB

1. Course Introduction and Setup/6. Installation of OpenCV & Python on Windows.mp423.95MB

1. Course Introduction and Setup/9. Set up course materials (DOWNLOAD LINK BELOW) - Not needed if using the new VM.mp44.62MB

10. Computational Photography & Make a License Plate Reader/1. Mini Project # 12 - Photo-Restoration.mp414.73MB

11. Conclusion/1. Course Summary and how to become an Expert.mp44.16MB

11. Conclusion/2. Latest Advances, 12 Startup Ideas & Implementing Computer VIsion in Mobile Apps.mp415.66MB

12/1. Setup your Deep Learning Virtual Machine.mp477.42MB

12/2. Intro to Handwritten Digit Classification (MNIST).mp467.3MB

12/3. Intro to Multiple Image Classification (CIFAR10).mp427.32MB

13/1. Neural Networks Chapter Overview.mp47.83MB

13/10. Epochs, Iterations and Batch Sizes.mp426.11MB

13/11. Measuring Performance and the Confusion Matrix.mp452.09MB

13/12. Review and Best Practices.mp427.14MB

13/2. Machine Learning Overview.mp452.27MB

13/3. Neural Networks Explained.mp423.35MB

13/4. Forward Propagation.mp463.34MB

13/5. Activation Functions.mp459.66MB

13/6. Training Part 1 – Loss Functions.mp458.42MB

13/7. Training Part 2 – Backpropagation and Gradient Descent.mp472.68MB

13/8. Backpropagation & Learning Rates – A Worked Example.mp499.9MB

13/9. Regularization, Overfitting, Generalization and Test Datasets.mp4118.36MB

14/1. Convolutional Neural Networks Chapter Overview.mp45.14MB

14/2. Introduction to Convolutional Neural Networks (CNNs).mp436.69MB

14/3. Convolutions & Image Features.mp4102.41MB

14/4. Depth, Stride and Padding.mp446.57MB

14/5. ReLU.mp410.89MB

14/6. Pooling.mp428.82MB

14/7. The Fully Connected Layer.mp413.87MB

14/8. Training CNNs.mp427.13MB

14/9. Designing Your Own CNN.mp424.28MB

15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/1. Introduction to Keras & Tensorflow.mp45.61MB

15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/10. Saving and Loading Your Model.mp429.54MB

15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/11. Displaying Your Model Visually.mp425.45MB

15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/2. Building a CNN in Keras.mp473.72MB

15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/3. Building a Handwriting Recognition CNN.mp411.15MB

15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/4. Loading Our Data.mp452.91MB

15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/5. Getting our data in ‘Shape’.mp433.81MB

15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/6. Hot One Encoding.mp418.19MB

15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/7. Building & Compiling Our Model.mp436.2MB

15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/8. Training Our Classifier.mp440.81MB

15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/9. Plotting Loss and Accuracy Charts.mp425.57MB

15/1. Introduction to Keras & Tensorflow.mp45.61MB

15/10. Saving and Loading Your Model.mp429.54MB

15/11. Displaying Your Model Visually.mp425.45MB

15/12. Building a Simple Image Classifier using CIFAR10.mp474.34MB

15/2. Building a CNN in Keras.mp473.72MB

15/3. Building a Handwriting Recognition CNN.mp411.15MB

15/4. Loading Our Data.mp452.91MB

15/5. Getting our data in ‘Shape’.mp433.81MB

15/6. Hot One Encoding.mp418.19MB

15/7. Building & Compiling Our Model.mp436.2MB

15/8. Training Our Classifier.mp440.81MB

15/9. Plotting Loss and Accuracy Charts.mp425.57MB

16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/1. Data Augmentation Chapter Overview.mp43.92MB

16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/2. Splitting Data into Test and Training Datasets.mp4103.8MB

16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/3. Train a Cats vs. Dogs Classifier.mp444.79MB

16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/4. Boosting Accuracy with Data Augmentation.mp443.45MB

16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/5. Types of Data Augmentation.mp452.48MB

2. Basics of Computer Vision and OpenCV/1. What are Images.mp44.39MB

2. Basics of Computer Vision and OpenCV/2. How are Images Formed.mp46.22MB

2. Basics of Computer Vision and OpenCV/3. Storing Images on Computers.mp410.89MB

2. Basics of Computer Vision and OpenCV/4. Getting Started with OpenCV - A Brief OpenCV Intro.mp423.7MB

2. Basics of Computer Vision and OpenCV/5. Grayscaling - Converting Color Images To Shades of Gray.mp44.52MB

2. Basics of Computer Vision and OpenCV/6. Understanding Color Spaces - The Many Ways Color Images Are Stored Digitally.mp430.62MB

2. Basics of Computer Vision and OpenCV/7. Histogram representation of Images - Visualizing the Components of Images.mp411.73MB

2. Basics of Computer Vision and OpenCV/8. Creating Images & Drawing on Images - Make Squares, Circles, Polygons & Add Text.mp49.84MB

3. Image Manipulations & Processing/1. Transformations, Affine And Non-Affine - The Many Ways We Can Change Images.mp43.58MB

3. Image Manipulations & Processing/10. Sharpening - Reverse Your Images Blurs.mp44.35MB

3. Image Manipulations & Processing/11. Thresholding (Binarization) - Making Certain Images Areas Black or White.mp417.66MB

3. Image Manipulations & Processing/12. Dilation, Erosion, OpeningClosing - Importance of ThickeningThinning Lines.mp410.09MB

3. Image Manipulations & Processing/13. Edge Detection using Image Gradients & Canny Edge Detection.mp415.26MB

3. Image Manipulations & Processing/14. Perspective & Affine Transforms - Take An Off Angle Shot & Make It Look Top Down.mp48.1MB

3. Image Manipulations & Processing/15. Mini Project 1 - Live Sketch App - Turn your Webcam Feed Into A Pencil Drawing.mp414.34MB

3. Image Manipulations & Processing/2. Image Translations - Moving Images Up, Down. Left And Right.mp44.99MB

3. Image Manipulations & Processing/3. Rotations - How To Spin Your Image Around And Do Horizontal Flipping.mp46.07MB

3. Image Manipulations & Processing/4. Scaling, Re-sizing and Interpolations - Understand How Re-Sizing Affects Quality.mp48.67MB

3. Image Manipulations & Processing/5. Image Pyramids - Another Way of Re-Sizing.mp43.52MB

3. Image Manipulations & Processing/6. Cropping - Cut Out The Image The Regions You Want or Don't Want.mp45.58MB

3. Image Manipulations & Processing/7. Arithmetic Operations - Brightening and Darkening Images.mp47.98MB

3. Image Manipulations & Processing/8. Bitwise Operations - How Image Masking Works.mp47.74MB

3. Image Manipulations & Processing/9. Blurring - The Many Ways We Can Blur Images & Why It's Important.mp416.17MB

4. Image Segmentation & Contours/1. Segmentation and Contours - Extract Defined Shapes In Your Image.mp422.43MB

4. Image Segmentation & Contours/2. Sorting Contours - Sort Those Shapes By Size.mp429.77MB

4. Image Segmentation & Contours/3. Approximating Contours & Finding Their Convex Hull - Clean Up Messy Contours.mp413.46MB

4. Image Segmentation & Contours/4. Matching Contour Shapes - Match Shapes In Images Even When Distorted.mp415.24MB

4. Image Segmentation & Contours/5. Mini Project 2 - Identify Shapes (Square, Rectangle, Circle, Triangle & Stars).mp413.12MB

4. Image Segmentation & Contours/6. Line Detection - Detect Straight Lines E.g. The Lines On A Sudoku Game.mp417.69MB

4. Image Segmentation & Contours/8. Blob Detection - Detect The Center of Flowers.mp47.53MB

4. Image Segmentation & Contours/9. Mini Project 3 - Counting Circles and Ellipses.mp414.24MB

5. Object Detection in OpenCV/1. Object Detection Overview.mp47.36MB

5. Object Detection in OpenCV/2. Mini Project # 4 - Finding Waldo (Quickly Find A Specific Pattern In An Image).mp47.29MB

5. Object Detection in OpenCV/3. Feature Description Theory - How We Digitally Represent Objects.mp48.91MB

5. Object Detection in OpenCV/4. Finding Corners - Why Corners In Images Are Important to Object Detection.mp414.78MB

5. Object Detection in OpenCV/5. SIFT, SURF, FAST, BRIEF & ORB - Learn The Different Ways To Get Image Features.mp425.48MB

5. Object Detection in OpenCV/6. Mini Project 5 - Object Detection - Detect A Specific Object Using Your Webcam.mp443.45MB

5. Object Detection in OpenCV/7. Histogram of Oriented Gradients - Another Novel Way Of Representing Images.mp419.94MB

6/1. HAAR Cascade Classifiers - Learn How Classifiers Work And Why They're Amazing.mp410.1MB

6/2. Face and Eye Detection - Detect Human Faces and Eyes In Any Image.mp424.98MB

6/3. Mini Project 6 - Car and Pedestrian Detection in Videos.mp415.23MB

7/1. Face Analysis and Filtering - Identify Face Outline, Lips, Eyes Even Eyebrows.mp428.29MB

7/2. Merging Faces (Face Swaps) - Combine Two Faces For Fun & Sometimes Scary Results.mp428.66MB

7/3. Mini Project 7 - Live Face Swapper (like MSQRD & Snapchat filters!!!).mp414.46MB

7/4. Mini Project 8 - Yawn Detector and Counter.mp429.99MB

8. Simple Machine Learning using OpenCV/1. Machine Learning Overview - What Is It & Why It's Important to Computer Vision.mp416.23MB

8. Simple Machine Learning using OpenCV/2. Mini Project 9 - Handwritten Digit Classification.mp460.54MB

8. Simple Machine Learning using OpenCV/3. Mini Project # 10 - Facial Recognition - Make Your Computer Recognize You.mp431.99MB

9. Object Tracking & Motion Analysis/1. Filtering by Color.mp418.65MB

9. Object Tracking & Motion Analysis/2. Background Subtraction and Foreground Subtraction.mp429.53MB

9. Object Tracking & Motion Analysis/3. Using Meanshift for Object Tracking.mp414.45MB

9. Object Tracking & Motion Analysis/4. Using CAMshift for Object Tracking.mp49.88MB

9. Object Tracking & Motion Analysis/5. Optical Flow - Track Moving Objects In Videos.mp419.81MB

9. Object Tracking & Motion Analysis/6. Mini Project # 11 - Ball Tracking.mp414.23MB