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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

文件列表
  1. 1. Course Introduction and Setup/1. Introduction.mp411.66MB
  2. 1. Course Introduction and Setup/2. Introduction to Computer Vision and OpenCV.mp47.2MB
  3. 1. Course Introduction and Setup/3. About this course.mp410.29MB
  4. 1. Course Introduction and Setup/5. Recomended - Setup your OpenCV4.0.1 Virtual Machine.mp437.58MB
  5. 1. Course Introduction and Setup/6. Installation of OpenCV & Python on Windows.mp423.95MB
  6. 1. Course Introduction and Setup/9. Set up course materials (DOWNLOAD LINK BELOW) - Not needed if using the new VM.mp44.62MB
  7. 10. Computational Photography & Make a License Plate Reader/1. Mini Project # 12 - Photo-Restoration.mp414.73MB
  8. 11. Conclusion/1. Course Summary and how to become an Expert.mp44.16MB
  9. 11. Conclusion/2. Latest Advances, 12 Startup Ideas & Implementing Computer VIsion in Mobile Apps.mp415.66MB
  10. 12/1. Setup your Deep Learning Virtual Machine.mp477.42MB
  11. 12/2. Intro to Handwritten Digit Classification (MNIST).mp467.3MB
  12. 12/3. Intro to Multiple Image Classification (CIFAR10).mp427.32MB
  13. 13/1. Neural Networks Chapter Overview.mp47.83MB
  14. 13/10. Epochs, Iterations and Batch Sizes.mp426.11MB
  15. 13/11. Measuring Performance and the Confusion Matrix.mp452.09MB
  16. 13/12. Review and Best Practices.mp427.14MB
  17. 13/2. Machine Learning Overview.mp452.27MB
  18. 13/3. Neural Networks Explained.mp423.35MB
  19. 13/4. Forward Propagation.mp463.34MB
  20. 13/5. Activation Functions.mp459.66MB
  21. 13/6. Training Part 1 – Loss Functions.mp458.42MB
  22. 13/7. Training Part 2 – Backpropagation and Gradient Descent.mp472.68MB
  23. 13/8. Backpropagation & Learning Rates – A Worked Example.mp499.9MB
  24. 13/9. Regularization, Overfitting, Generalization and Test Datasets.mp4118.36MB
  25. 14/1. Convolutional Neural Networks Chapter Overview.mp45.14MB
  26. 14/2. Introduction to Convolutional Neural Networks (CNNs).mp436.69MB
  27. 14/3. Convolutions & Image Features.mp4102.41MB
  28. 14/4. Depth, Stride and Padding.mp446.57MB
  29. 14/5. ReLU.mp410.89MB
  30. 14/6. Pooling.mp428.82MB
  31. 14/7. The Fully Connected Layer.mp413.87MB
  32. 14/8. Training CNNs.mp427.13MB
  33. 14/9. Designing Your Own CNN.mp424.28MB
  34. 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/1. Introduction to Keras & Tensorflow.mp45.61MB
  35. 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/10. Saving and Loading Your Model.mp429.54MB
  36. 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/11. Displaying Your Model Visually.mp425.45MB
  37. 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/2. Building a CNN in Keras.mp473.72MB
  38. 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/3. Building a Handwriting Recognition CNN.mp411.15MB
  39. 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/4. Loading Our Data.mp452.91MB
  40. 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/5. Getting our data in ‘Shape’.mp433.81MB
  41. 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/6. Hot One Encoding.mp418.19MB
  42. 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/7. Building & Compiling Our Model.mp436.2MB
  43. 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/8. Training Our Classifier.mp440.81MB
  44. 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/9. Plotting Loss and Accuracy Charts.mp425.57MB
  45. 15/1. Introduction to Keras & Tensorflow.mp45.61MB
  46. 15/10. Saving and Loading Your Model.mp429.54MB
  47. 15/11. Displaying Your Model Visually.mp425.45MB
  48. 15/12. Building a Simple Image Classifier using CIFAR10.mp474.34MB
  49. 15/2. Building a CNN in Keras.mp473.72MB
  50. 15/3. Building a Handwriting Recognition CNN.mp411.15MB
  51. 15/4. Loading Our Data.mp452.91MB
  52. 15/5. Getting our data in ‘Shape’.mp433.81MB
  53. 15/6. Hot One Encoding.mp418.19MB
  54. 15/7. Building & Compiling Our Model.mp436.2MB
  55. 15/8. Training Our Classifier.mp440.81MB
  56. 15/9. Plotting Loss and Accuracy Charts.mp425.57MB
  57. 16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/1. Data Augmentation Chapter Overview.mp43.92MB
  58. 16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/2. Splitting Data into Test and Training Datasets.mp4103.8MB
  59. 16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/3. Train a Cats vs. Dogs Classifier.mp444.79MB
  60. 16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/4. Boosting Accuracy with Data Augmentation.mp443.45MB
  61. 16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/5. Types of Data Augmentation.mp452.48MB
  62. 2. Basics of Computer Vision and OpenCV/1. What are Images.mp44.39MB
  63. 2. Basics of Computer Vision and OpenCV/2. How are Images Formed.mp46.22MB
  64. 2. Basics of Computer Vision and OpenCV/3. Storing Images on Computers.mp410.89MB
  65. 2. Basics of Computer Vision and OpenCV/4. Getting Started with OpenCV - A Brief OpenCV Intro.mp423.7MB
  66. 2. Basics of Computer Vision and OpenCV/5. Grayscaling - Converting Color Images To Shades of Gray.mp44.52MB
  67. 2. Basics of Computer Vision and OpenCV/6. Understanding Color Spaces - The Many Ways Color Images Are Stored Digitally.mp430.62MB
  68. 2. Basics of Computer Vision and OpenCV/7. Histogram representation of Images - Visualizing the Components of Images.mp411.73MB
  69. 2. Basics of Computer Vision and OpenCV/8. Creating Images & Drawing on Images - Make Squares, Circles, Polygons & Add Text.mp49.84MB
  70. 3. Image Manipulations & Processing/1. Transformations, Affine And Non-Affine - The Many Ways We Can Change Images.mp43.58MB
  71. 3. Image Manipulations & Processing/10. Sharpening - Reverse Your Images Blurs.mp44.35MB
  72. 3. Image Manipulations & Processing/11. Thresholding (Binarization) - Making Certain Images Areas Black or White.mp417.66MB
  73. 3. Image Manipulations & Processing/12. Dilation, Erosion, OpeningClosing - Importance of ThickeningThinning Lines.mp410.09MB
  74. 3. Image Manipulations & Processing/13. Edge Detection using Image Gradients & Canny Edge Detection.mp415.26MB
  75. 3. Image Manipulations & Processing/14. Perspective & Affine Transforms - Take An Off Angle Shot & Make It Look Top Down.mp48.1MB
  76. 3. Image Manipulations & Processing/15. Mini Project 1 - Live Sketch App - Turn your Webcam Feed Into A Pencil Drawing.mp414.34MB
  77. 3. Image Manipulations & Processing/2. Image Translations - Moving Images Up, Down. Left And Right.mp44.99MB
  78. 3. Image Manipulations & Processing/3. Rotations - How To Spin Your Image Around And Do Horizontal Flipping.mp46.07MB
  79. 3. Image Manipulations & Processing/4. Scaling, Re-sizing and Interpolations - Understand How Re-Sizing Affects Quality.mp48.67MB
  80. 3. Image Manipulations & Processing/5. Image Pyramids - Another Way of Re-Sizing.mp43.52MB
  81. 3. Image Manipulations & Processing/6. Cropping - Cut Out The Image The Regions You Want or Don't Want.mp45.58MB
  82. 3. Image Manipulations & Processing/7. Arithmetic Operations - Brightening and Darkening Images.mp47.98MB
  83. 3. Image Manipulations & Processing/8. Bitwise Operations - How Image Masking Works.mp47.74MB
  84. 3. Image Manipulations & Processing/9. Blurring - The Many Ways We Can Blur Images & Why It's Important.mp416.17MB
  85. 4. Image Segmentation & Contours/1. Segmentation and Contours - Extract Defined Shapes In Your Image.mp422.43MB
  86. 4. Image Segmentation & Contours/2. Sorting Contours - Sort Those Shapes By Size.mp429.77MB
  87. 4. Image Segmentation & Contours/3. Approximating Contours & Finding Their Convex Hull - Clean Up Messy Contours.mp413.46MB
  88. 4. Image Segmentation & Contours/4. Matching Contour Shapes - Match Shapes In Images Even When Distorted.mp415.24MB
  89. 4. Image Segmentation & Contours/5. Mini Project 2 - Identify Shapes (Square, Rectangle, Circle, Triangle & Stars).mp413.12MB
  90. 4. Image Segmentation & Contours/6. Line Detection - Detect Straight Lines E.g. The Lines On A Sudoku Game.mp417.69MB
  91. 4. Image Segmentation & Contours/8. Blob Detection - Detect The Center of Flowers.mp47.53MB
  92. 4. Image Segmentation & Contours/9. Mini Project 3 - Counting Circles and Ellipses.mp414.24MB
  93. 5. Object Detection in OpenCV/1. Object Detection Overview.mp47.36MB
  94. 5. Object Detection in OpenCV/2. Mini Project # 4 - Finding Waldo (Quickly Find A Specific Pattern In An Image).mp47.29MB
  95. 5. Object Detection in OpenCV/3. Feature Description Theory - How We Digitally Represent Objects.mp48.91MB
  96. 5. Object Detection in OpenCV/4. Finding Corners - Why Corners In Images Are Important to Object Detection.mp414.78MB
  97. 5. Object Detection in OpenCV/5. SIFT, SURF, FAST, BRIEF & ORB - Learn The Different Ways To Get Image Features.mp425.48MB
  98. 5. Object Detection in OpenCV/6. Mini Project 5 - Object Detection - Detect A Specific Object Using Your Webcam.mp443.45MB
  99. 5. Object Detection in OpenCV/7. Histogram of Oriented Gradients - Another Novel Way Of Representing Images.mp419.94MB
  100. 6/1. HAAR Cascade Classifiers - Learn How Classifiers Work And Why They're Amazing.mp410.1MB
  101. 6/2. Face and Eye Detection - Detect Human Faces and Eyes In Any Image.mp424.98MB
  102. 6/3. Mini Project 6 - Car and Pedestrian Detection in Videos.mp415.23MB
  103. 7/1. Face Analysis and Filtering - Identify Face Outline, Lips, Eyes Even Eyebrows.mp428.29MB
  104. 7/2. Merging Faces (Face Swaps) - Combine Two Faces For Fun & Sometimes Scary Results.mp428.66MB
  105. 7/3. Mini Project 7 - Live Face Swapper (like MSQRD & Snapchat filters!!!).mp414.46MB
  106. 7/4. Mini Project 8 - Yawn Detector and Counter.mp429.99MB
  107. 8. Simple Machine Learning using OpenCV/1. Machine Learning Overview - What Is It & Why It's Important to Computer Vision.mp416.23MB
  108. 8. Simple Machine Learning using OpenCV/2. Mini Project 9 - Handwritten Digit Classification.mp460.54MB
  109. 8. Simple Machine Learning using OpenCV/3. Mini Project # 10 - Facial Recognition - Make Your Computer Recognize You.mp431.99MB
  110. 9. Object Tracking & Motion Analysis/1. Filtering by Color.mp418.65MB
  111. 9. Object Tracking & Motion Analysis/2. Background Subtraction and Foreground Subtraction.mp429.53MB
  112. 9. Object Tracking & Motion Analysis/3. Using Meanshift for Object Tracking.mp414.45MB
  113. 9. Object Tracking & Motion Analysis/4. Using CAMshift for Object Tracking.mp49.88MB
  114. 9. Object Tracking & Motion Analysis/5. Optical Flow - Track Moving Objects In Videos.mp419.81MB
  115. 9. Object Tracking & Motion Analysis/6. Mini Project # 11 - Ball Tracking.mp414.23MB
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