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

  • 收录时间:2019-07-03 09:14:44
  • 文件大小:6GB
  • 下载次数:90
  • 最近下载:2021-01-21 21:00:34
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文件列表

  1. 1. Course Overview and Introduction/3.1 Computer-Vision-with-Python.zip.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.vtt 63MB
  44. 4. Image Processing/6. Blurring and Smoothing.mp4 63MB
  45. 2. NumPy and Image Basics/6. NumPy and Image Assessment Test - Solutions.mp4 60MB
  46. 6. Object Detection with OpenCV and Python/7. Contour Detection.mp4 58MB
  47. 7. Object Tracking/8. Tracking APIs with OpenCV.mp4 57MB
  48. 3. Image Basics with OpenCV/6. Direct Drawing on Images with a mouse - Part One.mp4 55MB
  49. 6. Object Detection with OpenCV and Python/13. Introduction to Face Detection.mp4 55MB
  50. 8. Deep Learning for Computer Vision/19. Deep Learning and Convolutional Neural Networks Assessment Solutions.mp4 51MB
  51. 6. Object Detection with OpenCV and Python/4. Corner Detection - Part Two - Shi-Tomasi Detection.mp4 50MB
  52. 3. Image Basics with OpenCV/8. Direct Drawing on Images with a mouse - Part Three.mp4 49MB
  53. 4. Image Processing/2. Color Mappings.mp4 45MB
  54. 6. Object Detection with OpenCV and Python/6. Grid Detection.mp4 43MB
  55. 3. Image Basics with OpenCV/5. Drawing on Images Part Two - Text and Polygons.mp4 43MB
  56. 3. Image Basics with OpenCV/4. Drawing on Images - Part One - Basic Shapes.mp4 42MB
  57. 9. Capstone Project/2. Capstone Part One - Variables and Background function.mp4 39MB
  58. 7. Object Tracking/7. Overview of various Tracking API Methods.mp4 37MB
  59. 9. Capstone Project/3. Capstone Part Two - Segmentation.mp4 36MB
  60. 5. Video Basics with Python and OpenCV/3. Using Video Files.mp4 35MB
  61. 8. Deep Learning for Computer Vision/2. Machine Learning Basics.mp4 34MB
  62. 2. NumPy and Image Basics/3. What is an image.mp4 34MB
  63. 5. Video Basics with Python and OpenCV/6. Video Basics Assessment Solutions.mp4 33MB
  64. 6. Object Detection with OpenCV and Python/15. Detection Assessment.mp4 32MB
  65. 7. Object Tracking/5. MeanShift and CamShift Tracking Theory.mp4 31MB
  66. 7. Object Tracking/2. Optical Flow.mp4 30MB
  67. 8. Deep Learning for Computer Vision/6. Understanding a Neural Network.mp4 29MB
  68. 4. Image Processing/13. Image Processing Assessment.mp4 28MB
  69. 1. Course Overview and Introduction/1. Course Overview.mp4 27MB
  70. 3. Image Basics with OpenCV/9. Image Basics Assessment.mp4 26MB
  71. 8. Deep Learning for Computer Vision/12. Convolutional Neural Networks Overview - Part Two.mp4 26MB
  72. 8. Deep Learning for Computer Vision/10. MNIST Data Overview.mp4 25MB
  73. 1. Course Overview and Introduction/3. Course Curriculum Overview.mp4 23MB
  74. 8. Deep Learning for Computer Vision/5. Understanding a Neuron.mp4 22MB
  75. 8. Deep Learning for Computer Vision/20. Introduction to YOLO v3.mp4 22MB
  76. 8. Deep Learning for Computer Vision/18. Deep Learning and Convolutional Neural Networks Assessment.mp4 20MB
  77. 8. Deep Learning for Computer Vision/7. Cost Functions.mp4 19MB
  78. 3. Image Basics with OpenCV/7. Direct Drawing on Images with a mouse - Part Two.mp4 18MB
  79. 8. Deep Learning for Computer Vision/8. Gradient Descent and Back Propagation.mp4 17MB
  80. 2. NumPy and Image Basics/5. NumPy and Image Assessment Test.mp4 16MB
  81. 3. Image Basics with OpenCV/1. Introduction to Images and OpenCV Basics.mp4 15MB
  82. 5. Video Basics with Python and OpenCV/5. Video Basics Assessment.mp4 13MB
  83. 6. Object Detection with OpenCV and Python/1. Introduction to Object Detection.mp4 13MB
  84. 8. Deep Learning for Computer Vision/1. Introduction to Deep Learning for Computer Vision.mp4 12MB
  85. 9. Capstone Project/1. Introduction to CapStone Project.mp4 10MB
  86. 8. Deep Learning for Computer Vision/4. Introduction to Deep Learning Topics.mp4 7MB
  87. 5. Video Basics with Python and OpenCV/1. Introduction to Video Basics.mp4 7MB
  88. 4. Image Processing/1. Introduction to Image Processing.mp4 4MB
  89. 2. NumPy and Image Basics/1. Introduction to Numpy and Image Section.mp4 4MB
  90. 7. Object Tracking/1. Introduction to Object Tracking.mp4 3MB
  91. 4. Image Processing/7. Blurring and Smoothing - Part Two.vtt 27KB
  92. 6. Object Detection with OpenCV and Python/11. Watershed Algorithm - Part Two.vtt 26KB
  93. 3. Image Basics with OpenCV/2. Opening Image files in a notebook.vtt 26KB
  94. 8. Deep Learning for Computer Vision/17. Deep Learning on Custom Images - Part Two.vtt 25KB
  95. 8. Deep Learning for Computer Vision/22. YOLO v3 with Python.vtt 25KB
  96. 8. Deep Learning for Computer Vision/11. Convolutional Neural Networks Overview - Part One.vtt 24KB
  97. 4. Image Processing/5. Image Thresholding.vtt 23KB
  98. 6. Object Detection with OpenCV and Python/2. Template Matching.vtt 23KB
  99. 6. Object Detection with OpenCV and Python/12. Custom Seeds with Watershed Algorithm.vtt 23KB
  100. 7. Object Tracking/3. Optical Flow Coding with OpenCV - Part One.vtt 23KB
  101. 6. Object Detection with OpenCV and Python/9. Feature Matching - Part Two.vtt 23KB
  102. 8. Deep Learning for Computer Vision/9. Keras Basics.vtt 22KB
  103. 2. NumPy and Image Basics/2. NumPy Arrays.vtt 22KB
  104. 5. Video Basics with Python and OpenCV/4. Drawing on Live Camera.vtt 21KB
  105. 8. Deep Learning for Computer Vision/13. Keras Convolutional Neural Networks with MNIST.vtt 21KB
  106. 4. Image Processing/4. Blending and Pasting Images Part Two - Masks.vtt 20KB
  107. 8. Deep Learning for Computer Vision/3. Understanding Classification Metrics.vtt 20KB
  108. 4. Image Processing/8. Morphological Operators.vtt 20KB
  109. 5. Video Basics with Python and OpenCV/2. Connecting to Camera.vtt 20KB
  110. 8. Deep Learning for Computer Vision/16. Deep Learning on Custom Images - Part One.vtt 19KB
  111. 4. Image Processing/9. Gradients.vtt 18KB
  112. 4. Image Processing/3. Blending and Pasting Images.vtt 18KB
  113. 6. Object Detection with OpenCV and Python/3. Corner Detection - Part One - Harris Corner Detection.vtt 18KB
  114. 6. Object Detection with OpenCV and Python/14. Face Detection with OpenCV.vtt 18KB
  115. 1. Course Overview and Introduction/4. Getting Set-Up for the Course Content.vtt 17KB
  116. 9. Capstone Project/1.1 07-Capstone-Project.zip.zip 17KB
  117. 3. Image Basics with OpenCV/10. Image Basics Assessment Solutions.vtt 17KB
  118. 4. Image Processing/11. Histograms - Part Two - Histogram Eqaulization.vtt 17KB
  119. 7. Object Tracking/6. MeanShift and CamShift Tracking with OpenCV.vtt 17KB
  120. 9. Capstone Project/4. Capstone Part Three - Counting and ConvexHull.vtt 16KB
  121. 6. Object Detection with OpenCV and Python/8. Feature Matching - Part One.vtt 16KB
  122. 7. Object Tracking/1.1 05-Object-Tracking.zip.zip 16KB
  123. 4. Image Processing/10. Histograms - Part One.vtt 16KB
  124. 6. Object Detection with OpenCV and Python/10. Watershed Algorithm - Part One.vtt 15KB
  125. 3. Image Basics with OpenCV/3. Opening Image files with OpenCV.vtt 15KB
  126. 2. NumPy and Image Basics/4. Images and NumPy.vtt 15KB
  127. 6. Object Detection with OpenCV and Python/7. Contour Detection.vtt 14KB
  128. 8. Deep Learning for Computer Vision/14. Keras Convolutional Neural Networks with CIFAR-10.vtt 14KB
  129. 9. Capstone Project/5. Capstone Part Four - Bringing it all together.vtt 14KB
  130. 3. Image Basics with OpenCV/8. Direct Drawing on Images with a mouse - Part Three.vtt 13KB
  131. 3. Image Basics with OpenCV/4. Drawing on Images - Part One - Basic Shapes.vtt 13KB
  132. 7. Object Tracking/4. Optical Flow Coding with OpenCV - Part Two.vtt 13KB
  133. 6. Object Detection with OpenCV and Python/5. Edge Detection.vtt 13KB
  134. 3. Image Basics with OpenCV/5. Drawing on Images Part Two - Text and Polygons.vtt 13KB
  135. 3. Image Basics with OpenCV/6. Direct Drawing on Images with a mouse - Part One.vtt 12KB
  136. 6. Object Detection with OpenCV and Python/13. Introduction to Face Detection.vtt 12KB
  137. 2. NumPy and Image Basics/6. NumPy and Image Assessment Test - Solutions.vtt 12KB
  138. 6. Object Detection with OpenCV and Python/6. Grid Detection.vtt 11KB
  139. 8. Deep Learning for Computer Vision/2. Machine Learning Basics.vtt 10KB
  140. 4. Image Processing/12. Histograms Part Three - Histogram Equalization.vtt 10KB
  141. 9. Capstone Project/2. Capstone Part One - Variables and Background function.vtt 10KB
  142. 4. Image Processing/14. Image Processing Assessment Solutions.vtt 10KB
  143. 7. Object Tracking/8. Tracking APIs with OpenCV.vtt 10KB
  144. 7. Object Tracking/7. Overview of various Tracking API Methods.vtt 10KB
  145. 5. Video Basics with Python and OpenCV/3. Using Video Files.vtt 10KB
  146. 6. Object Detection with OpenCV and Python/4. Corner Detection - Part Two - Shi-Tomasi Detection.vtt 9KB
  147. 8. Deep Learning for Computer Vision/6. Understanding a Neural Network.vtt 9KB
  148. 4. Image Processing/2. Color Mappings.vtt 8KB
  149. 6. Object Detection with OpenCV and Python/16. Detection Assessment Solutions.vtt 8KB
  150. 8. Deep Learning for Computer Vision/19. Deep Learning and Convolutional Neural Networks Assessment Solutions.vtt 8KB
  151. 7. Object Tracking/5. MeanShift and CamShift Tracking Theory.vtt 8KB
  152. 7. Object Tracking/2. Optical Flow.vtt 8KB
  153. 2. NumPy and Image Basics/3. What is an image.vtt 8KB
  154. 1. Course Overview and Introduction/1. Course Overview.vtt 7KB
  155. 9. Capstone Project/3. Capstone Part Two - Segmentation.vtt 7KB
  156. 8. Deep Learning for Computer Vision/5. Understanding a Neuron.vtt 7KB
  157. 1. Course Overview and Introduction/3. Course Curriculum Overview.vtt 7KB
  158. 5. Video Basics with Python and OpenCV/6. Video Basics Assessment Solutions.vtt 7KB
  159. 8. Deep Learning for Computer Vision/10. MNIST Data Overview.vtt 6KB
  160. 10. BONUS DISCOUNT COUPONS FOR OTHER COURSES/1. Bonus Lecture Coupons.html 6KB
  161. 4. Image Processing/13. Image Processing Assessment.vtt 6KB
  162. 8. Deep Learning for Computer Vision/12. Convolutional Neural Networks Overview - Part Two.vtt 6KB
  163. 3. Image Basics with OpenCV/9. Image Basics Assessment.vtt 5KB
  164. 6. Object Detection with OpenCV and Python/15. Detection Assessment.vtt 5KB
  165. 8. Deep Learning for Computer Vision/7. Cost Functions.vtt 5KB
  166. 8. Deep Learning for Computer Vision/8. Gradient Descent and Back Propagation.vtt 4KB
  167. 8. Deep Learning for Computer Vision/20. Introduction to YOLO v3.vtt 4KB
  168. 2. NumPy and Image Basics/5. NumPy and Image Assessment Test.vtt 4KB
  169. 8. Deep Learning for Computer Vision/18. Deep Learning and Convolutional Neural Networks Assessment.vtt 4KB
  170. 3. Image Basics with OpenCV/1. Introduction to Images and OpenCV Basics.vtt 4KB
  171. 3. Image Basics with OpenCV/7. Direct Drawing on Images with a mouse - Part Two.vtt 4KB
  172. 6. Object Detection with OpenCV and Python/1. Introduction to Object Detection.vtt 3KB
  173. 8. Deep Learning for Computer Vision/1. Introduction to Deep Learning for Computer Vision.vtt 3KB
  174. 5. Video Basics with Python and OpenCV/5. Video Basics Assessment.vtt 3KB
  175. 8. Deep Learning for Computer Vision/4. Introduction to Deep Learning Topics.vtt 2KB
  176. 1. Course Overview and Introduction/2. FAQ - Frequently Asked Questions.html 2KB
  177. 5. Video Basics with Python and OpenCV/1. Introduction to Video Basics.vtt 2KB
  178. 9. Capstone Project/1. Introduction to CapStone Project.vtt 1KB
  179. 2. NumPy and Image Basics/1. Introduction to Numpy and Image Section.vtt 870B
  180. 4. Image Processing/1. Introduction to Image Processing.vtt 859B
  181. 7. Object Tracking/1. Introduction to Object Tracking.vtt 772B
  182. 8. Deep Learning for Computer Vision/21. YOLO Weights Download.html 300B
  183. 8. Deep Learning for Computer Vision/15. LINK FOR CATS AND DOGS ZIP.html 263B
  184. 7. Object Tracking/5.2 Meanshift for Image Segmentation.html 149B
  185. 7. Object Tracking/7.4 Median Flow Tracker Info.html 144B
  186. 1. Course Overview and Introduction/4.2 Download for cvcourse_windows.yml.html 143B
  187. 8. Deep Learning for Computer Vision/15.1 LINK FOR CATS AND DOGS ZIP.html 143B
  188. 8. Deep Learning for Computer Vision/21.1 Link for Weights h5 file (same as link in article and next lecture).html 143B
  189. 8. Deep Learning for Computer Vision/22.1 Link for weights h5 file (same as link from previous lecture).html 143B
  190. 1. Course Overview and Introduction/4.1 Download for cvcourse_macos.yml.html 127B
  191. 1. Course Overview and Introduction/4.3 Download Link for cvcourse_linux.yml.html 127B
  192. [FreeCourseLab.com].url 126B
  193. 7. Object Tracking/7.5 BOOSTING Tracker Info.html 125B
  194. 4. Image Processing/5.1 Thresholding Images Info.html 122B
  195. 4. Image Processing/6.1 Info on Blurring.html 119B
  196. 6. Object Detection with OpenCV and Python/10.1 WaterShed Algorithm.html 119B
  197. 6. Object Detection with OpenCV and Python/4.1 Good Features to Track - Original Paper.html 119B
  198. 2. NumPy and Image Basics/1.1 NumPy Docs.html 114B
  199. 4. Image Processing/8.2 Math Behind Morphology.html 114B
  200. 7. Object Tracking/7.1 MIL Tracker Info.html 114B
  201. 6. Object Detection with OpenCV and Python/3.1 Harris Corner Detection Detailed.html 113B
  202. 4. Image Processing/8.1 Really great link on Morphological Operators.html 112B
  203. 6. Object Detection with OpenCV and Python/5.1 Canny Edge Detection.html 110B
  204. 6. Object Detection with OpenCV and Python/13.1 Haar Cascade Features.html 108B
  205. 6. Object Detection with OpenCV and Python/2.1 Template Matching Wiki.html 108B
  206. 4. Image Processing/10.1 Color Histograms.html 106B
  207. 4. Image Processing/2.2 Information on RGB Color Mappings.html 106B
  208. 4. Image Processing/9.1 Image Gradients.html 105B
  209. 4. Image Processing/9.2 Sobel Operators.html 105B
  210. 6. Object Detection with OpenCV and Python/5.2 Edege Detection.html 105B
  211. 7. Object Tracking/7.3 TDL Tracker.html 105B
  212. 4. Image Processing/6.2 Gaussian Blurring.html 104B
  213. 7. Object Tracking/2.1 Optical Flow.html 103B
  214. 4. Image Processing/2.1 Information on HSL and HSV Color Mappings.html 102B
  215. 7. Object Tracking/5.1 MeanShift On Wikipedia.html 101B
  216. 7. Object Tracking/7.2 KCF Tracker.html 92B