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[] Udemy - Python for Computer Vision with OpenCV and Deep Learning

  • 收录时间:2020-06-10 12:36:28
  • 文件大小:6GB
  • 下载次数:103
  • 最近下载:2020-12-28 08:11:36
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文件列表

  1. 1. Course Overview and Introduction/3.1 Computer-Vision-with-Python.zip 306MB
  2. 4. Image Processing/7. Blurring and Smoothing - Part Two.mp4 236MB
  3. 6. Object Detection with OpenCV and Python/9. Feature Matching - Part Two.mp4 177MB
  4. 8. Deep Learning for Computer Vision/22. YOLO v3 with Python.mp4 167MB
  5. 4. Image Processing/5. Image Thresholding.mp4 138MB
  6. 8. Deep Learning for Computer Vision/17. Deep Learning on Custom Images - Part Two.mp4 138MB
  7. 3. Image Basics with OpenCV/2. Opening Image files in a notebook.mp4 127MB
  8. 6. Object Detection with OpenCV and Python/2. Template Matching.mp4 117MB
  9. 6. Object Detection with OpenCV and Python/14. Face Detection with OpenCV.mp4 117MB
  10. 4. Image Processing/9. Gradients.mp4 113MB
  11. 8. Deep Learning for Computer Vision/11. Convolutional Neural Networks Overview - Part One.mp4 113MB
  12. 7. Object Tracking/3. Optical Flow Coding with OpenCV - Part One.mp4 111MB
  13. 6. Object Detection with OpenCV and Python/11. Watershed Algorithm - Part Two.mp4 109MB
  14. 6. Object Detection with OpenCV and Python/12. Custom Seeds with Watershed Algorithm.mp4 104MB
  15. 6. Object Detection with OpenCV and Python/8. Feature Matching - Part One.mp4 100MB
  16. 5. Video Basics with Python and OpenCV/4. Drawing on Live Camera.mp4 98MB
  17. 8. Deep Learning for Computer Vision/9. Keras Basics.mp4 98MB
  18. 3. Image Basics with OpenCV/10. Image Basics Assessment Solutions.mp4 97MB
  19. 4. Image Processing/8. Morphological Operators.mp4 97MB
  20. 7. Object Tracking/6. MeanShift and CamShift Tracking with OpenCV.mp4 96MB
  21. 4. Image Processing/4. Blending and Pasting Images Part Two - Masks.mp4 93MB
  22. 2. NumPy and Image Basics/4. Images and NumPy.mp4 90MB
  23. 9. Capstone Project/4. Capstone Part Three - Counting and ConvexHull.mp4 89MB
  24. 9. Capstone Project/5. Capstone Part Four - Bringing it all together.mp4 87MB
  25. 8. Deep Learning for Computer Vision/16. Deep Learning on Custom Images - Part One.mp4 87MB
  26. 2. NumPy and Image Basics/2. NumPy Arrays.mp4 86MB
  27. 4. Image Processing/3. Blending and Pasting Images.mp4 86MB
  28. 8. Deep Learning for Computer Vision/13. Keras Convolutional Neural Networks with MNIST.mp4 84MB
  29. 6. Object Detection with OpenCV and Python/3. Corner Detection - Part One - Harris Corner Detection.mp4 82MB
  30. 4. Image Processing/12. Histograms Part Three - Histogram Equalization.mp4 81MB
  31. 1. Course Overview and Introduction/4. Getting Set-Up for the Course Content.mp4 79MB
  32. 5. Video Basics with Python and OpenCV/2. Connecting to Camera.mp4 79MB
  33. 8. Deep Learning for Computer Vision/3. Understanding Classification Metrics.mp4 78MB
  34. 8. Deep Learning for Computer Vision/14. Keras Convolutional Neural Networks with CIFAR-10.mp4 76MB
  35. 4. Image Processing/10. Histograms - Part One.mp4 73MB
  36. 7. Object Tracking/4. Optical Flow Coding with OpenCV - Part Two.mp4 72MB
  37. 4. Image Processing/14. Image Processing Assessment Solutions.mp4 71MB
  38. 6. Object Detection with OpenCV and Python/5. Edge Detection.mp4 70MB
  39. 4. Image Processing/11. Histograms - Part Two - Histogram Eqaulization.mp4 69MB
  40. 6. Object Detection with OpenCV and Python/10. Watershed Algorithm - Part One.mp4 66MB
  41. 3. Image Basics with OpenCV/3. Opening Image files with OpenCV.mp4 65MB
  42. 6. Object Detection with OpenCV and Python/16. Detection Assessment Solutions.mp4 65MB
  43. 4. Image Processing/6. Blurring and Smoothing.mp4 63MB
  44. 2. NumPy and Image Basics/6. NumPy and Image Assessment Test - Solutions.mp4 60MB
  45. 6. Object Detection with OpenCV and Python/7. Contour Detection.mp4 58MB
  46. 7. Object Tracking/8. Tracking APIs with OpenCV.mp4 57MB
  47. 3. Image Basics with OpenCV/6. Direct Drawing on Images with a mouse - Part One.mp4 55MB
  48. 6. Object Detection with OpenCV and Python/13. Introduction to Face Detection.mp4 55MB
  49. 8. Deep Learning for Computer Vision/19. Deep Learning and Convolutional Neural Networks Assessment Solutions.mp4 51MB
  50. 6. Object Detection with OpenCV and Python/4. Corner Detection - Part Two - Shi-Tomasi Detection.mp4 50MB
  51. 3. Image Basics with OpenCV/8. Direct Drawing on Images with a mouse - Part Three.mp4 49MB
  52. 4. Image Processing/2. Color Mappings.mp4 45MB
  53. 6. Object Detection with OpenCV and Python/6. Grid Detection.mp4 43MB
  54. 3. Image Basics with OpenCV/5. Drawing on Images Part Two - Text and Polygons.mp4 43MB
  55. 3. Image Basics with OpenCV/4. Drawing on Images - Part One - Basic Shapes.mp4 42MB
  56. 9. Capstone Project/2. Capstone Part One - Variables and Background function.mp4 39MB
  57. 7. Object Tracking/7. Overview of various Tracking API Methods.mp4 37MB
  58. 9. Capstone Project/3. Capstone Part Two - Segmentation.mp4 36MB
  59. 5. Video Basics with Python and OpenCV/3. Using Video Files.mp4 35MB
  60. 8. Deep Learning for Computer Vision/2. Machine Learning Basics.mp4 34MB
  61. 2. NumPy and Image Basics/3. What is an image.mp4 34MB
  62. 5. Video Basics with Python and OpenCV/6. Video Basics Assessment Solutions.mp4 33MB
  63. 6. Object Detection with OpenCV and Python/15. Detection Assessment.mp4 32MB
  64. 7. Object Tracking/5. MeanShift and CamShift Tracking Theory.mp4 31MB
  65. 7. Object Tracking/2. Optical Flow.mp4 30MB
  66. 8. Deep Learning for Computer Vision/6. Understanding a Neural Network.mp4 29MB
  67. 4. Image Processing/13. Image Processing Assessment.mp4 28MB
  68. 1. Course Overview and Introduction/1. Course Overview.mp4 27MB
  69. 3. Image Basics with OpenCV/9. Image Basics Assessment.mp4 26MB
  70. 8. Deep Learning for Computer Vision/12. Convolutional Neural Networks Overview - Part Two.mp4 26MB
  71. 8. Deep Learning for Computer Vision/10. MNIST Data Overview.mp4 25MB
  72. 1. Course Overview and Introduction/3. Course Curriculum Overview.mp4 23MB
  73. 8. Deep Learning for Computer Vision/5. Understanding a Neuron.mp4 22MB
  74. 8. Deep Learning for Computer Vision/20. Introduction to YOLO v3.mp4 22MB
  75. 8. Deep Learning for Computer Vision/18. Deep Learning and Convolutional Neural Networks Assessment.mp4 20MB
  76. 8. Deep Learning for Computer Vision/7. Cost Functions.mp4 19MB
  77. 3. Image Basics with OpenCV/7. Direct Drawing on Images with a mouse - Part Two.mp4 18MB
  78. 8. Deep Learning for Computer Vision/8. Gradient Descent and Back Propagation.mp4 17MB
  79. 2. NumPy and Image Basics/5. NumPy and Image Assessment Test.mp4 16MB
  80. 3. Image Basics with OpenCV/1. Introduction to Images and OpenCV Basics.mp4 15MB
  81. 5. Video Basics with Python and OpenCV/5. Video Basics Assessment.mp4 13MB
  82. 6. Object Detection with OpenCV and Python/1. Introduction to Object Detection.mp4 13MB
  83. 8. Deep Learning for Computer Vision/1. Introduction to Deep Learning for Computer Vision.mp4 12MB
  84. 9. Capstone Project/1. Introduction to CapStone Project.mp4 10MB
  85. 8. Deep Learning for Computer Vision/4. Introduction to Deep Learning Topics.mp4 7MB
  86. 5. Video Basics with Python and OpenCV/1. Introduction to Video Basics.mp4 7MB
  87. 4. Image Processing/1. Introduction to Image Processing.mp4 4MB
  88. 2. NumPy and Image Basics/1. Introduction to Numpy and Image Section.mp4 4MB
  89. 7. Object Tracking/1. Introduction to Object Tracking.mp4 3MB
  90. 4. Image Processing/7. Blurring and Smoothing - Part Two.srt 31KB
  91. 6. Object Detection with OpenCV and Python/11. Watershed Algorithm - Part Two.srt 30KB
  92. 3. Image Basics with OpenCV/2. Opening Image files in a notebook.srt 30KB
  93. 8. Deep Learning for Computer Vision/17. Deep Learning on Custom Images - Part Two.srt 29KB
  94. 8. Deep Learning for Computer Vision/22. YOLO v3 with Python.srt 29KB
  95. 8. Deep Learning for Computer Vision/11. Convolutional Neural Networks Overview - Part One.srt 28KB
  96. 6. Object Detection with OpenCV and Python/2. Template Matching.srt 27KB
  97. 4. Image Processing/5. Image Thresholding.srt 27KB
  98. 6. Object Detection with OpenCV and Python/12. Custom Seeds with Watershed Algorithm.srt 26KB
  99. 7. Object Tracking/3. Optical Flow Coding with OpenCV - Part One.srt 26KB
  100. 6. Object Detection with OpenCV and Python/9. Feature Matching - Part Two.srt 26KB
  101. 8. Deep Learning for Computer Vision/9. Keras Basics.srt 25KB
  102. 2. NumPy and Image Basics/2. NumPy Arrays.srt 25KB
  103. 5. Video Basics with Python and OpenCV/4. Drawing on Live Camera.srt 25KB
  104. 8. Deep Learning for Computer Vision/13. Keras Convolutional Neural Networks with MNIST.srt 24KB
  105. 4. Image Processing/4. Blending and Pasting Images Part Two - Masks.srt 23KB
  106. 8. Deep Learning for Computer Vision/3. Understanding Classification Metrics.srt 23KB
  107. 4. Image Processing/8. Morphological Operators.srt 23KB
  108. 5. Video Basics with Python and OpenCV/2. Connecting to Camera.srt 23KB
  109. 8. Deep Learning for Computer Vision/16. Deep Learning on Custom Images - Part One.srt 22KB
  110. 4. Image Processing/3. Blending and Pasting Images.srt 21KB
  111. 4. Image Processing/9. Gradients.srt 21KB
  112. 6. Object Detection with OpenCV and Python/3. Corner Detection - Part One - Harris Corner Detection.srt 21KB
  113. 6. Object Detection with OpenCV and Python/14. Face Detection with OpenCV.srt 20KB
  114. 1. Course Overview and Introduction/4. Getting Set-Up for the Course Content.srt 20KB
  115. 3. Image Basics with OpenCV/10. Image Basics Assessment Solutions.srt 19KB
  116. 4. Image Processing/11. Histograms - Part Two - Histogram Eqaulization.srt 19KB
  117. 6. Object Detection with OpenCV and Python/8. Feature Matching - Part One.srt 19KB
  118. 9. Capstone Project/4. Capstone Part Three - Counting and ConvexHull.srt 19KB
  119. 4. Image Processing/10. Histograms - Part One.srt 18KB
  120. 6. Object Detection with OpenCV and Python/10. Watershed Algorithm - Part One.srt 17KB
  121. 3. Image Basics with OpenCV/3. Opening Image files with OpenCV.srt 17KB
  122. 2. NumPy and Image Basics/4. Images and NumPy.srt 17KB
  123. 9. Capstone Project/1.1 07-Capstone-Project.zip 17KB
  124. 7. Object Tracking/1.1 05-Object-Tracking.zip 16KB
  125. 6. Object Detection with OpenCV and Python/7. Contour Detection.srt 16KB
  126. 8. Deep Learning for Computer Vision/14. Keras Convolutional Neural Networks with CIFAR-10.srt 16KB
  127. 9. Capstone Project/5. Capstone Part Four - Bringing it all together.srt 16KB
  128. 3. Image Basics with OpenCV/8. Direct Drawing on Images with a mouse - Part Three.srt 15KB
  129. 3. Image Basics with OpenCV/4. Drawing on Images - Part One - Basic Shapes.srt 15KB
  130. 7. Object Tracking/4. Optical Flow Coding with OpenCV - Part Two.srt 15KB
  131. 6. Object Detection with OpenCV and Python/5. Edge Detection.srt 15KB
  132. 3. Image Basics with OpenCV/5. Drawing on Images Part Two - Text and Polygons.srt 15KB
  133. 3. Image Basics with OpenCV/6. Direct Drawing on Images with a mouse - Part One.srt 14KB
  134. 6. Object Detection with OpenCV and Python/13. Introduction to Face Detection.srt 14KB
  135. 2. NumPy and Image Basics/6. NumPy and Image Assessment Test - Solutions.srt 14KB
  136. 6. Object Detection with OpenCV and Python/6. Grid Detection.srt 12KB
  137. 4. Image Processing/12. Histograms Part Three - Histogram Equalization.srt 12KB
  138. 8. Deep Learning for Computer Vision/2. Machine Learning Basics.srt 12KB
  139. 4. Image Processing/14. Image Processing Assessment Solutions.srt 11KB
  140. 7. Object Tracking/8. Tracking APIs with OpenCV.srt 11KB
  141. 9. Capstone Project/2. Capstone Part One - Variables and Background function.srt 11KB
  142. 5. Video Basics with Python and OpenCV/3. Using Video Files.srt 11KB
  143. 7. Object Tracking/7. Overview of various Tracking API Methods.srt 11KB
  144. 4. Image Processing/6. Blurring and Smoothing.srt 11KB
  145. 6. Object Detection with OpenCV and Python/4. Corner Detection - Part Two - Shi-Tomasi Detection.srt 10KB
  146. 8. Deep Learning for Computer Vision/6. Understanding a Neural Network.srt 10KB
  147. 4. Image Processing/2. Color Mappings.srt 10KB
  148. 6. Object Detection with OpenCV and Python/16. Detection Assessment Solutions.srt 10KB
  149. 8. Deep Learning for Computer Vision/19. Deep Learning and Convolutional Neural Networks Assessment Solutions.srt 9KB
  150. 7. Object Tracking/5. MeanShift and CamShift Tracking Theory.srt 9KB
  151. 7. Object Tracking/2. Optical Flow.srt 9KB
  152. 2. NumPy and Image Basics/3. What is an image.srt 9KB
  153. 1. Course Overview and Introduction/1. Course Overview.srt 8KB
  154. 9. Capstone Project/3. Capstone Part Two - Segmentation.srt 8KB
  155. 8. Deep Learning for Computer Vision/5. Understanding a Neuron.srt 8KB
  156. 5. Video Basics with Python and OpenCV/6. Video Basics Assessment Solutions.srt 7KB
  157. 1. Course Overview and Introduction/3. Course Curriculum Overview.srt 7KB
  158. 8. Deep Learning for Computer Vision/10. MNIST Data Overview.srt 7KB
  159. 4. Image Processing/13. Image Processing Assessment.srt 6KB
  160. 8. Deep Learning for Computer Vision/12. Convolutional Neural Networks Overview - Part Two.srt 6KB
  161. 3. Image Basics with OpenCV/9. Image Basics Assessment.srt 6KB
  162. 6. Object Detection with OpenCV and Python/15. Detection Assessment.srt 6KB
  163. 8. Deep Learning for Computer Vision/7. Cost Functions.srt 5KB
  164. 8. Deep Learning for Computer Vision/8. Gradient Descent and Back Propagation.srt 5KB
  165. 8. Deep Learning for Computer Vision/20. Introduction to YOLO v3.srt 5KB
  166. 2. NumPy and Image Basics/5. NumPy and Image Assessment Test.srt 5KB
  167. 8. Deep Learning for Computer Vision/18. Deep Learning and Convolutional Neural Networks Assessment.srt 4KB
  168. 3. Image Basics with OpenCV/1. Introduction to Images and OpenCV Basics.srt 4KB
  169. 3. Image Basics with OpenCV/7. Direct Drawing on Images with a mouse - Part Two.srt 4KB
  170. 6. Object Detection with OpenCV and Python/1. Introduction to Object Detection.srt 4KB
  171. 8. Deep Learning for Computer Vision/1. Introduction to Deep Learning for Computer Vision.srt 4KB
  172. 5. Video Basics with Python and OpenCV/5. Video Basics Assessment.srt 3KB
  173. 8. Deep Learning for Computer Vision/4. Introduction to Deep Learning Topics.srt 2KB
  174. 5. Video Basics with Python and OpenCV/1. Introduction to Video Basics.srt 2KB
  175. 1. Course Overview and Introduction/2. FAQ - Frequently Asked Questions.html 2KB
  176. 9. Capstone Project/1. Introduction to CapStone Project.srt 1KB
  177. 2. NumPy and Image Basics/1. Introduction to Numpy and Image Section.srt 982B
  178. 4. Image Processing/1. Introduction to Image Processing.srt 958B
  179. 7. Object Tracking/1. Introduction to Object Tracking.srt 871B
  180. 10. BONUS SECTION THANK YOU!/1. BONUS LECTURE.html 532B
  181. 8. Deep Learning for Computer Vision/21. YOLO Weights Download.html 300B
  182. 8. Deep Learning for Computer Vision/15. LINK FOR CATS AND DOGS ZIP.html 263B
  183. 7. Object Tracking/5.2 Meanshift for Image Segmentation.html 149B
  184. 7. Object Tracking/7.3 Median Flow Tracker Info.html 144B
  185. 1. Course Overview and Introduction/4.1 Download for cvcourse_windows.yml.html 143B
  186. 8. Deep Learning for Computer Vision/15.1 LINK FOR CATS AND DOGS ZIP.html 143B
  187. 8. Deep Learning for Computer Vision/21.1 Link for Weights h5 file (same as link in article and next lecture).html 143B
  188. 8. Deep Learning for Computer Vision/22.1 Link for weights h5 file (same as link from previous lecture).html 143B
  189. [Tutorialsplanet.NET].url 128B
  190. 1. Course Overview and Introduction/4.2 Download Link for cvcourse_linux.yml.html 127B
  191. 1. Course Overview and Introduction/4.3 Download for cvcourse_macos.yml.html 127B
  192. 7. Object Tracking/7.4 BOOSTING Tracker Info.html 125B
  193. 4. Image Processing/5.1 Thresholding Images Info.html 122B
  194. 4. Image Processing/6.1 Info on Blurring.html 119B
  195. 6. Object Detection with OpenCV and Python/10.1 WaterShed Algorithm.html 119B
  196. 6. Object Detection with OpenCV and Python/4.1 Good Features to Track - Original Paper.html 119B
  197. 2. NumPy and Image Basics/1.1 NumPy Docs.html 114B
  198. 4. Image Processing/8.1 Math Behind Morphology.html 114B
  199. 7. Object Tracking/7.2 MIL Tracker Info.html 114B
  200. 6. Object Detection with OpenCV and Python/3.1 Harris Corner Detection Detailed.html 113B
  201. 4. Image Processing/8.2 Really great link on Morphological Operators.html 112B
  202. 6. Object Detection with OpenCV and Python/5.2 Canny Edge Detection.html 110B
  203. 6. Object Detection with OpenCV and Python/13.1 Haar Cascade Features.html 108B
  204. 6. Object Detection with OpenCV and Python/2.1 Template Matching Wiki.html 108B
  205. 4. Image Processing/10.1 Color Histograms.html 106B
  206. 4. Image Processing/2.1 Information on RGB Color Mappings.html 106B
  207. 4. Image Processing/9.1 Sobel Operators.html 105B
  208. 4. Image Processing/9.2 Image Gradients.html 105B
  209. 6. Object Detection with OpenCV and Python/5.1 Edege Detection.html 105B
  210. 7. Object Tracking/7.1 TDL Tracker.html 105B
  211. 4. Image Processing/6.2 Gaussian Blurring.html 104B
  212. 7. Object Tracking/2.1 Optical Flow.html 103B
  213. 4. Image Processing/2.2 Information on HSL and HSV Color Mappings.html 102B
  214. 7. Object Tracking/5.1 MeanShift On Wikipedia.html 101B
  215. 7. Object Tracking/7.5 KCF Tracker.html 92B
  216. 1. Course Overview and Introduction/[DesireCourse.Net].url 51B
  217. 10. BONUS SECTION THANK YOU!/[DesireCourse.Net].url 51B
  218. 4. Image Processing/[DesireCourse.Net].url 51B
  219. 7. Object Tracking/[DesireCourse.Net].url 51B
  220. 1. Course Overview and Introduction/[CourseClub.Me].url 48B
  221. 10. BONUS SECTION THANK YOU!/[CourseClub.Me].url 48B
  222. 4. Image Processing/[CourseClub.Me].url 48B
  223. 7. Object Tracking/[CourseClub.Me].url 48B
  224. 7. Object Tracking/6. MeanShift and CamShift Tracking with OpenCV.srt 0B