DesireCourse Net Udemy - Python for Computer Vision with OpenCV and Deep Learning

1. 1. Course Overview and Introduction/1. Course Overview.mp427.16MB
2. 1. Course Overview and Introduction/3. Course Curriculum Overview.mp422.97MB
3. 1. Course Overview and Introduction/4. Getting Set-Up for the Course Content.mp479.34MB
4. 2. NumPy and Image Basics/1. Introduction to Numpy and Image Section.mp43.74MB
5. 2. NumPy and Image Basics/2. NumPy Arrays.mp485.92MB
6. 2. NumPy and Image Basics/3. What is an image.mp433.95MB
7. 2. NumPy and Image Basics/4. Images and NumPy.mp490.34MB
8. 2. NumPy and Image Basics/5. NumPy and Image Assessment Test.mp416.32MB
9. 2. NumPy and Image Basics/6. NumPy and Image Assessment Test - Solutions.mp460.47MB
10. 3. Image Basics with OpenCV/1. Introduction to Images and OpenCV Basics.mp414.59MB
11. 3. Image Basics with OpenCV/10. Image Basics Assessment Solutions.mp497.27MB
12. 3. Image Basics with OpenCV/2. Opening Image files in a notebook.mp4126.98MB
13. 3. Image Basics with OpenCV/3. Opening Image files with OpenCV.mp465.47MB
14. 3. Image Basics with OpenCV/4. Drawing on Images - Part One - Basic Shapes.mp441.64MB
15. 3. Image Basics with OpenCV/5. Drawing on Images Part Two - Text and Polygons.mp442.58MB
16. 3. Image Basics with OpenCV/6. Direct Drawing on Images with a mouse - Part One.mp454.93MB
17. 3. Image Basics with OpenCV/7. Direct Drawing on Images with a mouse - Part Two.mp417.71MB
18. 3. Image Basics with OpenCV/8. Direct Drawing on Images with a mouse - Part Three.mp449.26MB
19. 3. Image Basics with OpenCV/9. Image Basics Assessment.mp426.43MB
20. 4. Image Processing/1. Introduction to Image Processing.mp44.29MB
21. 4. Image Processing/10. Histograms - Part One.mp472.57MB
22. 4. Image Processing/11. Histograms - Part Two - Histogram Eqaulization.mp469.01MB
23. 4. Image Processing/12. Histograms Part Three - Histogram Equalization.mp481.45MB
24. 4. Image Processing/13. Image Processing Assessment.mp428.38MB
25. 4. Image Processing/14. Image Processing Assessment Solutions.mp471.3MB
26. 4. Image Processing/2. Color Mappings.mp445.16MB
27. 4. Image Processing/3. Blending and Pasting Images.mp485.66MB
28. 4. Image Processing/4. Blending and Pasting Images Part Two - Masks.mp493.09MB
29. 4. Image Processing/5. Image Thresholding.mp4138.3MB
30. 4. Image Processing/6. Blurring and Smoothing.mp463.2MB
31. 4. Image Processing/7. Blurring and Smoothing - Part Two.mp4235.82MB
32. 4. Image Processing/8. Morphological Operators.mp496.78MB
33. 4. Image Processing/9. Gradients.mp4113.37MB
34. 5. Video Basics with Python and OpenCV/1. Introduction to Video Basics.mp46.71MB
35. 5. Video Basics with Python and OpenCV/2. Connecting to Camera.mp479.32MB
36. 5. Video Basics with Python and OpenCV/3. Using Video Files.mp434.99MB
37. 5. Video Basics with Python and OpenCV/4. Drawing on Live Camera.mp497.99MB
38. 5. Video Basics with Python and OpenCV/5. Video Basics Assessment.mp413.47MB
39. 5. Video Basics with Python and OpenCV/6. Video Basics Assessment Solutions.mp433.4MB
40. 6. Object Detection with OpenCV and Python/1. Introduction to Object Detection.mp412.79MB
41. 6. Object Detection with OpenCV and Python/10. Watershed Algorithm - Part One.mp466.49MB
42. 6. Object Detection with OpenCV and Python/11. Watershed Algorithm - Part Two.mp4109.17MB
43. 6. Object Detection with OpenCV and Python/12. Custom Seeds with Watershed Algorithm.mp4104.35MB
44. 6. Object Detection with OpenCV and Python/13. Introduction to Face Detection.mp454.86MB
45. 6. Object Detection with OpenCV and Python/14. Face Detection with OpenCV.mp4116.63MB
46. 6. Object Detection with OpenCV and Python/15. Detection Assessment.mp432.08MB
47. 6. Object Detection with OpenCV and Python/16. Detection Assessment Solutions.mp465MB
48. 6. Object Detection with OpenCV and Python/2. Template Matching.mp4116.64MB
49. 6. Object Detection with OpenCV and Python/3. Corner Detection - Part One - Harris Corner Detection.mp481.64MB
50. 6. Object Detection with OpenCV and Python/4. Corner Detection - Part Two - Shi-Tomasi Detection.mp450.3MB
51. 6. Object Detection with OpenCV and Python/5. Edge Detection.mp469.63MB
52. 6. Object Detection with OpenCV and Python/6. Grid Detection.mp442.75MB
53. 6. Object Detection with OpenCV and Python/7. Contour Detection.mp458.29MB
54. 6. Object Detection with OpenCV and Python/8. Feature Matching - Part One.mp499.98MB
55. 6. Object Detection with OpenCV and Python/9. Feature Matching - Part Two.mp4177.41MB
56. 7. Object Tracking/1. Introduction to Object Tracking.mp43.41MB
57. 7. Object Tracking/2. Optical Flow.mp430.15MB
58. 7. Object Tracking/3. Optical Flow Coding with OpenCV - Part One.mp4111.38MB
59. 7. Object Tracking/4. Optical Flow Coding with OpenCV - Part Two.mp471.75MB
60. 7. Object Tracking/5. MeanShift and CamShift Tracking Theory.mp431.47MB
61. 7. Object Tracking/6. MeanShift and CamShift Tracking with OpenCV.mp496.24MB
62. 7. Object Tracking/7. Overview of various Tracking API Methods.mp436.52MB
63. 7. Object Tracking/8. Tracking APIs with OpenCV.mp457.13MB
64. 8. Deep Learning for Computer Vision/1. Introduction to Deep Learning for Computer Vision.mp411.71MB
65. 8. Deep Learning for Computer Vision/10. MNIST Data Overview.mp424.75MB
66. 8. Deep Learning for Computer Vision/11. Convolutional Neural Networks Overview - Part One.mp4113.27MB
67. 8. Deep Learning for Computer Vision/12. Convolutional Neural Networks Overview - Part Two.mp425.6MB
68. 8. Deep Learning for Computer Vision/13. Keras Convolutional Neural Networks with MNIST.mp483.84MB
69. 8. Deep Learning for Computer Vision/14. Keras Convolutional Neural Networks with CIFAR-10.mp475.94MB
70. 8. Deep Learning for Computer Vision/16. Deep Learning on Custom Images - Part One.mp486.69MB
71. 8. Deep Learning for Computer Vision/17. Deep Learning on Custom Images - Part Two.mp4137.75MB
72. 8. Deep Learning for Computer Vision/18. Deep Learning and Convolutional Neural Networks Assessment.mp419.99MB
73. 8. Deep Learning for Computer Vision/19. Deep Learning and Convolutional Neural Networks Assessment Solutions.mp450.8MB
74. 8. Deep Learning for Computer Vision/2. Machine Learning Basics.mp434.47MB
75. 8. Deep Learning for Computer Vision/20. Introduction to YOLO v3.mp421.78MB
76. 8. Deep Learning for Computer Vision/22. YOLO v3 with Python.mp4166.87MB
77. 8. Deep Learning for Computer Vision/3. Understanding Classification Metrics.mp477.53MB
78. 8. Deep Learning for Computer Vision/4. Introduction to Deep Learning Topics.mp46.79MB
79. 8. Deep Learning for Computer Vision/5. Understanding a Neuron.mp422.16MB
80. 8. Deep Learning for Computer Vision/6. Understanding a Neural Network.mp429.37MB
81. 8. Deep Learning for Computer Vision/7. Cost Functions.mp418.71MB
82. 8. Deep Learning for Computer Vision/8. Gradient Descent and Back Propagation.mp416.89MB
83. 8. Deep Learning for Computer Vision/9. Keras Basics.mp497.74MB
84. 9. Capstone Project/1. Introduction to CapStone Project.mp49.91MB
85. 9. Capstone Project/2. Capstone Part One - Variables and Background function.mp438.68MB
86. 9. Capstone Project/3. Capstone Part Two - Segmentation.mp436.26MB
87. 9. Capstone Project/4. Capstone Part Three - Counting and ConvexHull.mp488.89MB
88. 9. Capstone Project/5. Capstone Part Four - Bringing it all together.mp487.04MB