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  1. 1. Introduction/1. Course Introduction.mp4 82.9 MB
  2. 1. Introduction/1. Course Introduction.srt 17.2 KB
  3. 1. Introduction/2. Course Overview.mp4 63.8 MB
  4. 1. Introduction/2. Course Overview.srt 16.2 KB
  5. 1. Introduction/3. What Makes Computer Vision Hard.mp4 46.2 MB
  6. 1. Introduction/3. What Makes Computer Vision Hard.srt 9.4 KB
  7. 1. Introduction/4. What are Images.mp4 44.2 MB
  8. 1. Introduction/4. What are Images.srt 10.7 KB
  9. 10. OpenCV - Working With Video/1. Using Your Webcam and Creating a Live Sketch of Yourself.mp4 66.5 MB
  10. 10. OpenCV - Working With Video/1. Using Your Webcam and Creating a Live Sketch of Yourself.srt 11.5 KB
  11. 10. OpenCV - Working With Video/2. Opening Video Files in OpenCV.mp4 34.0 MB
  12. 10. OpenCV - Working With Video/2. Opening Video Files in OpenCV.srt 6.7 KB
  13. 10. OpenCV - Working With Video/3. Saving or Recording Videos in OpenCV.mp4 35.8 MB
  14. 10. OpenCV - Working With Video/3. Saving or Recording Videos in OpenCV.srt 4.7 KB
  15. 10. OpenCV - Working With Video/4. Video Streams and CCTV - RTSP and IP.mp4 42.1 MB
  16. 10. OpenCV - Working With Video/4. Video Streams and CCTV - RTSP and IP.srt 6.5 KB
  17. 10. OpenCV - Working With Video/5. Auto Reconnect to Video Streams.mp4 36.2 MB
  18. 10. OpenCV - Working With Video/5. Auto Reconnect to Video Streams.srt 4.4 KB
  19. 10. OpenCV - Working With Video/6. Capturing Video using Screenshots.mp4 46.3 MB
  20. 10. OpenCV - Working With Video/6. Capturing Video using Screenshots.srt 7.2 KB
  21. 10. OpenCV - Working With Video/7. Importing YouTube Videos into OpenCV.mp4 64.9 MB
  22. 10. OpenCV - Working With Video/7. Importing YouTube Videos into OpenCV.srt 9.6 KB
  23. 11. Deep Learning in Computer Vision Introduction/1. Introduction to Convolution Neural Networks.mp4 15.9 MB
  24. 11. Deep Learning in Computer Vision Introduction/1. Introduction to Convolution Neural Networks.srt 7.8 KB
  25. 11. Deep Learning in Computer Vision Introduction/10. Fully Connected Layers.mp4 11.3 MB
  26. 11. Deep Learning in Computer Vision Introduction/10. Fully Connected Layers.srt 4.2 KB
  27. 11. Deep Learning in Computer Vision Introduction/11. Softmax.mp4 8.9 MB
  28. 11. Deep Learning in Computer Vision Introduction/11. Softmax.srt 3.9 KB
  29. 11. Deep Learning in Computer Vision Introduction/12. Putting Together Your Convolutional Neural Network.mp4 29.4 MB
  30. 11. Deep Learning in Computer Vision Introduction/12. Putting Together Your Convolutional Neural Network.srt 11.3 KB
  31. 11. Deep Learning in Computer Vision Introduction/13. Parameter Counts in CNNs.mp4 23.8 MB
  32. 11. Deep Learning in Computer Vision Introduction/13. Parameter Counts in CNNs.srt 8.2 KB
  33. 11. Deep Learning in Computer Vision Introduction/14. Why CNNs Work So Well On Images.mp4 20.5 MB
  34. 11. Deep Learning in Computer Vision Introduction/14. Why CNNs Work So Well On Images.srt 6.3 KB
  35. 11. Deep Learning in Computer Vision Introduction/15. Training a CNN.mp4 27.4 MB
  36. 11. Deep Learning in Computer Vision Introduction/15. Training a CNN.srt 9.6 KB
  37. 11. Deep Learning in Computer Vision Introduction/16. Loss Functions.mp4 24.9 MB
  38. 11. Deep Learning in Computer Vision Introduction/16. Loss Functions.srt 9.8 KB
  39. 11. Deep Learning in Computer Vision Introduction/17. Backpropagation.mp4 29.0 MB
  40. 11. Deep Learning in Computer Vision Introduction/17. Backpropagation.srt 8.8 KB
  41. 11. Deep Learning in Computer Vision Introduction/18. Gradient Descent.mp4 32.9 MB
  42. 11. Deep Learning in Computer Vision Introduction/18. Gradient Descent.srt 11.5 KB
  43. 11. Deep Learning in Computer Vision Introduction/19. Optimisers and Learning Rate Schedules.mp4 40.9 MB
  44. 11. Deep Learning in Computer Vision Introduction/19. Optimisers and Learning Rate Schedules.srt 10.1 KB
  45. 11. Deep Learning in Computer Vision Introduction/2. Convolutions.mp4 33.9 MB
  46. 11. Deep Learning in Computer Vision Introduction/2. Convolutions.srt 13.0 KB
  47. 11. Deep Learning in Computer Vision Introduction/20. Deep Learning CNN Recap.mp4 36.4 MB
  48. 11. Deep Learning in Computer Vision Introduction/20. Deep Learning CNN Recap.srt 14.3 KB
  49. 11. Deep Learning in Computer Vision Introduction/21. Deep Learning History.mp4 57.5 MB
  50. 11. Deep Learning in Computer Vision Introduction/21. Deep Learning History.srt 20.0 KB
  51. 11. Deep Learning in Computer Vision Introduction/22. Deep Learning Libraries Overview.mp4 59.0 MB
  52. 11. Deep Learning in Computer Vision Introduction/22. Deep Learning Libraries Overview.srt 15.9 KB
  53. 11. Deep Learning in Computer Vision Introduction/3. Feature Detectors.mp4 23.9 MB
  54. 11. Deep Learning in Computer Vision Introduction/3. Feature Detectors.srt 6.5 KB
  55. 11. Deep Learning in Computer Vision Introduction/4. 3D Convolutions and Color Images.mp4 16.6 MB
  56. 11. Deep Learning in Computer Vision Introduction/4. 3D Convolutions and Color Images.srt 6.7 KB
  57. 11. Deep Learning in Computer Vision Introduction/5. Kernel Size and Depth.mp4 13.7 MB
  58. 11. Deep Learning in Computer Vision Introduction/5. Kernel Size and Depth.srt 5.9 KB
  59. 11. Deep Learning in Computer Vision Introduction/6. Padding.mp4 14.2 MB
  60. 11. Deep Learning in Computer Vision Introduction/6. Padding.srt 5.6 KB
  61. 11. Deep Learning in Computer Vision Introduction/7. Stride.mp4 17.1 MB
  62. 11. Deep Learning in Computer Vision Introduction/7. Stride.srt 7.8 KB
  63. 11. Deep Learning in Computer Vision Introduction/8. Activation Functions.mp4 21.7 MB
  64. 11. Deep Learning in Computer Vision Introduction/8. Activation Functions.srt 7.7 KB
  65. 11. Deep Learning in Computer Vision Introduction/9. Pooling.mp4 23.4 MB
  66. 11. Deep Learning in Computer Vision Introduction/9. Pooling.srt 8.8 KB
  67. 12. Building CNNs in PyTorch/1. Importing Required Libraries.mp4 47.7 MB
  68. 12. Building CNNs in PyTorch/1. Importing Required Libraries.srt 10.4 KB
  69. 12. Building CNNs in PyTorch/2. Transformation Pipeline.mp4 29.5 MB
  70. 12. Building CNNs in PyTorch/2. Transformation Pipeline.srt 6.4 KB
  71. 12. Building CNNs in PyTorch/3. Inspect and Visualise Data.mp4 70.6 MB
  72. 12. Building CNNs in PyTorch/3. Inspect and Visualise Data.srt 12.6 KB
  73. 12. Building CNNs in PyTorch/4. Data Loaders.mp4 29.9 MB
  74. 12. Building CNNs in PyTorch/4. Data Loaders.srt 7.0 KB
  75. 12. Building CNNs in PyTorch/5. Building our Model.mp4 102.3 MB
  76. 12. Building CNNs in PyTorch/5. Building our Model.srt 18.4 KB
  77. 12. Building CNNs in PyTorch/6. Optimisers and Loss Function.mp4 14.9 MB
  78. 12. Building CNNs in PyTorch/6. Optimisers and Loss Function.srt 3.2 KB
  79. 12. Building CNNs in PyTorch/7. Training Your Model.mp4 96.1 MB
  80. 12. Building CNNs in PyTorch/7. Training Your Model.srt 17.8 KB
  81. 12. Building CNNs in PyTorch/8. Saving Model and Displaying Results.mp4 49.3 MB
  82. 12. Building CNNs in PyTorch/8. Saving Model and Displaying Results.srt 10.6 KB
  83. 12. Building CNNs in PyTorch/9. Plot and Visualize Your Results.mp4 25.8 MB
  84. 12. Building CNNs in PyTorch/9. Plot and Visualize Your Results.srt 7.4 KB
  85. 13. Building CNNs in TensorFlow with Keras/1. Loading Data.mp4 26.7 MB
  86. 13. Building CNNs in TensorFlow with Keras/1. Loading Data.srt 5.2 KB
  87. 13. Building CNNs in TensorFlow with Keras/2. View and Inspect Data.mp4 29.5 MB
  88. 13. Building CNNs in TensorFlow with Keras/2. View and Inspect Data.srt 6.5 KB
  89. 13. Building CNNs in TensorFlow with Keras/3. Preprocessing Our Data.mp4 33.5 MB
  90. 13. Building CNNs in TensorFlow with Keras/3. Preprocessing Our Data.srt 7.6 KB
  91. 13. Building CNNs in TensorFlow with Keras/4. Constructing the CNN.mp4 64.5 MB
  92. 13. Building CNNs in TensorFlow with Keras/4. Constructing the CNN.srt 9.9 KB
  93. 13. Building CNNs in TensorFlow with Keras/5. Training the Model.mp4 45.5 MB
  94. 13. Building CNNs in TensorFlow with Keras/5. Training the Model.srt 6.3 KB
  95. 13. Building CNNs in TensorFlow with Keras/6. Plotting the Training Results.mp4 36.4 MB
  96. 13. Building CNNs in TensorFlow with Keras/6. Plotting the Training Results.srt 6.2 KB
  97. 13. Building CNNs in TensorFlow with Keras/7. Saving and Loading and Visualising Results.mp4 75.6 MB
  98. 13. Building CNNs in TensorFlow with Keras/7. Saving and Loading and Visualising Results.srt 15.9 KB
  99. 14. Assessing Model Performance/1. Deep Learning Libraries PyTorch vs Keras Review.mp4 68.2 MB
  100. 14. Assessing Model Performance/1. Deep Learning Libraries PyTorch vs Keras Review.srt 19.1 KB
  101. 14. Assessing Model Performance/2. Assessing Model Performance.mp4 22.6 MB
  102. 14. Assessing Model Performance/2. Assessing Model Performance.srt 8.7 KB
  103. 14. Assessing Model Performance/3. Confusion Matrix and Classification Report.mp4 67.6 MB
  104. 14. Assessing Model Performance/3. Confusion Matrix and Classification Report.srt 20.4 KB
  105. 14. Assessing Model Performance/4. Keras Viewing Misclassifications.mp4 64.9 MB
  106. 14. Assessing Model Performance/4. Keras Viewing Misclassifications.srt 11.4 KB
  107. 14. Assessing Model Performance/5. Keras - Confusion Matrix and Classification Report.mp4 43.4 MB
  108. 14. Assessing Model Performance/5. Keras - Confusion Matrix and Classification Report.srt 8.9 KB
  109. 14. Assessing Model Performance/6. PyTorch Viewing Misclassifications.mp4 51.4 MB
  110. 14. Assessing Model Performance/6. PyTorch Viewing Misclassifications.srt 9.9 KB
  111. 14. Assessing Model Performance/7. PyTorch - Confusion Matrix and Misclassifications.mp4 29.3 MB
  112. 14. Assessing Model Performance/7. PyTorch - Confusion Matrix and Misclassifications.srt 6.6 KB
  113. 15. Improving Models and Advanced CNN Design/1. What is Overfitting and Generalisation.mp4 44.0 MB
  114. 15. Improving Models and Advanced CNN Design/1. What is Overfitting and Generalisation.srt 13.0 KB
  115. 15. Improving Models and Advanced CNN Design/10. Training a Fashion Classifider (FNIST) with Regularization using Keras.mp4 96.0 MB
  116. 15. Improving Models and Advanced CNN Design/10. Training a Fashion Classifider (FNIST) with Regularization using Keras.srt 17.3 KB
  117. 15. Improving Models and Advanced CNN Design/11. Training a Fashion Classifider (FNIST) with no Regularization using PyTorch.mp4 64.2 MB
  118. 15. Improving Models and Advanced CNN Design/11. Training a Fashion Classifider (FNIST) with no Regularization using PyTorch.srt 10.6 KB
  119. 15. Improving Models and Advanced CNN Design/12. Training a Fashion Classifider (FNIST) with Regularization using PyTorch.mp4 108.1 MB
  120. 15. Improving Models and Advanced CNN Design/12. Training a Fashion Classifider (FNIST) with Regularization using PyTorch.srt 18.0 KB
  121. 15. Improving Models and Advanced CNN Design/2. Introduction to Regularization.mp4 8.0 MB
  122. 15. Improving Models and Advanced CNN Design/2. Introduction to Regularization.srt 2.8 KB
  123. 15. Improving Models and Advanced CNN Design/3. Drop Out.mp4 13.1 MB
  124. 15. Improving Models and Advanced CNN Design/3. Drop Out.srt 4.8 KB
  125. 15. Improving Models and Advanced CNN Design/4. L1 and L2 Regularization.mp4 15.6 MB
  126. 15. Improving Models and Advanced CNN Design/4. L1 and L2 Regularization.srt 5.7 KB
  127. 15. Improving Models and Advanced CNN Design/5. Data Augmentation.mp4 31.9 MB
  128. 15. Improving Models and Advanced CNN Design/5. Data Augmentation.srt 6.5 KB
  129. 15. Improving Models and Advanced CNN Design/6. Early Stopping.mp4 13.0 MB
  130. 15. Improving Models and Advanced CNN Design/6. Early Stopping.srt 5.1 KB
  131. 15. Improving Models and Advanced CNN Design/7. Batch Normalization.mp4 23.8 MB
  132. 15. Improving Models and Advanced CNN Design/7. Batch Normalization.srt 6.7 KB
  133. 15. Improving Models and Advanced CNN Design/8. When Do We Use Regularization.mp4 11.6 MB
  134. 15. Improving Models and Advanced CNN Design/8. When Do We Use Regularization.srt 3.5 KB
  135. 15. Improving Models and Advanced CNN Design/9. Training a Fashion Classifider (FNIST) with no Regularization using Keras.mp4 82.7 MB
  136. 15. Improving Models and Advanced CNN Design/9. Training a Fashion Classifider (FNIST) with no Regularization using Keras.srt 14.3 KB
  137. 16. Visualizing What CNN's Learn/1. Visualizing CNN Filters or Feature Maps.mp4 20.5 MB
  138. 16. Visualizing What CNN's Learn/1. Visualizing CNN Filters or Feature Maps.srt 8.4 KB
  139. 16. Visualizing What CNN's Learn/2. Visualising Filter Activations.mp4 35.5 MB
  140. 16. Visualizing What CNN's Learn/2. Visualising Filter Activations.srt 11.6 KB
  141. 16. Visualizing What CNN's Learn/3. Keras Filter Visualization and Activations.mp4 107.2 MB
  142. 16. Visualizing What CNN's Learn/3. Keras Filter Visualization and Activations.srt 22.0 KB
  143. 16. Visualizing What CNN's Learn/4. Maximizing Filters.mp4 23.1 MB
  144. 16. Visualizing What CNN's Learn/4. Maximizing Filters.srt 6.6 KB
  145. 16. Visualizing What CNN's Learn/5. Class Maximization.mp4 30.1 MB
  146. 16. Visualizing What CNN's Learn/5. Class Maximization.srt 7.6 KB
  147. 16. Visualizing What CNN's Learn/6. Filter and Class Maximization.mp4 156.1 MB
  148. 16. Visualizing What CNN's Learn/6. Filter and Class Maximization.srt 24.8 KB
  149. 16. Visualizing What CNN's Learn/7. Grad-CAM Visualize What Influences Your Model.mp4 14.9 MB
  150. 16. Visualizing What CNN's Learn/7. Grad-CAM Visualize What Influences Your Model.srt 4.5 KB
  151. 16. Visualizing What CNN's Learn/8. Grad-CAM Plus.mp4 80.4 MB
  152. 16. Visualizing What CNN's Learn/8. Grad-CAM Plus.srt 13.1 KB
  153. 17. Advamced Convolutional Neural Networks/1. History and Evolution of Convolutional Neural Networks.mp4 9.1 MB
  154. 17. Advamced Convolutional Neural Networks/1. History and Evolution of Convolutional Neural Networks.srt 5.6 KB
  155. 17. Advamced Convolutional Neural Networks/10. EfficientNet.mp4 25.0 MB
  156. 17. Advamced Convolutional Neural Networks/10. EfficientNet.srt 7.9 KB
  157. 17. Advamced Convolutional Neural Networks/11. DenseNet.mp4 32.0 MB
  158. 17. Advamced Convolutional Neural Networks/11. DenseNet.srt 10.4 KB
  159. 17. Advamced Convolutional Neural Networks/12. The ImageNet Dataset.mp4 29.5 MB
  160. 17. Advamced Convolutional Neural Networks/12. The ImageNet Dataset.srt 7.7 KB
  161. 17. Advamced Convolutional Neural Networks/2. LeNet.mp4 18.7 MB
  162. 17. Advamced Convolutional Neural Networks/2. LeNet.srt 4.5 KB
  163. 17. Advamced Convolutional Neural Networks/3. AlexNet.mp4 17.5 MB
  164. 17. Advamced Convolutional Neural Networks/3. AlexNet.srt 5.9 KB
  165. 17. Advamced Convolutional Neural Networks/4. VGG16 and VGG19.mp4 23.1 MB
  166. 17. Advamced Convolutional Neural Networks/4. VGG16 and VGG19.srt 7.0 KB
  167. 17. Advamced Convolutional Neural Networks/5. ResNets.mp4 17.8 MB
  168. 17. Advamced Convolutional Neural Networks/5. ResNets.srt 7.0 KB
  169. 17. Advamced Convolutional Neural Networks/6. Why ResNets Work So Well.mp4 23.3 MB
  170. 17. Advamced Convolutional Neural Networks/6. Why ResNets Work So Well.srt 6.6 KB
  171. 17. Advamced Convolutional Neural Networks/7. MobileNetV1 and V2.mp4 43.8 MB
  172. 17. Advamced Convolutional Neural Networks/7. MobileNetV1 and V2.srt 14.7 KB
  173. 17. Advamced Convolutional Neural Networks/8. InceptionV3.mp4 23.4 MB
  174. 17. Advamced Convolutional Neural Networks/8. InceptionV3.srt 8.8 KB
  175. 17. Advamced Convolutional Neural Networks/9. SqueezeNet.mp4 23.2 MB
  176. 17. Advamced Convolutional Neural Networks/9. SqueezeNet.srt 6.8 KB
  177. 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/1. Implementing LeNet and AlexNet in Keras.mp4 139.3 MB
  178. 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/1. Implementing LeNet and AlexNet in Keras.srt 23.2 KB
  179. 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/2. Loading Pre-trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).mp4 153.8 MB
  180. 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/2. Loading Pre-trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).srt 28.9 KB
  181. 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/3. Loading Pre-trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).mp4 111.4 MB
  182. 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/3. Loading Pre-trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).srt 19.5 KB
  183. 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/4. The Top-N or Rank-N Accuracy Metric.mp4 12.4 MB
  184. 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/4. The Top-N or Rank-N Accuracy Metric.srt 4.6 KB
  185. 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/5. Getting the Rank-N Accuracy in PyTorch.mp4 97.9 MB
  186. 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/5. Getting the Rank-N Accuracy in PyTorch.srt 16.4 KB
  187. 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/6. Getting the Rank-N Accuracy in Keras.mp4 55.8 MB
  188. 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/6. Getting the Rank-N Accuracy in Keras.srt 9.8 KB
  189. 19. Using Callbacks in Keras and PyTorch/1. What are Callbacks.mp4 16.2 MB
  190. 19. Using Callbacks in Keras and PyTorch/1. What are Callbacks.srt 7.0 KB
  191. 19. Using Callbacks in Keras and PyTorch/2. Cats vs Dogs Classifier using Callbacks in PyTorch.mp4 115.0 MB
  192. 19. Using Callbacks in Keras and PyTorch/2. Cats vs Dogs Classifier using Callbacks in PyTorch.srt 22.8 KB
  193. 19. Using Callbacks in Keras and PyTorch/3. Cats vs Dogs Classifier using Callbacks in Keras.mp4 114.7 MB
  194. 19. Using Callbacks in Keras and PyTorch/3. Cats vs Dogs Classifier using Callbacks in Keras.srt 22.3 KB
  195. 2. Download Code and Setup Colab/1. Download Course Resources.html 804 bytes
  196. 2. Download Code and Setup Colab/1.1 Code - Modern Computer Vision_05_06_2022.zip 151.0 MB
  197. 2. Download Code and Setup Colab/1.2 ebook slides - Modern Computer Vision.pdf 121.6 MB
  198. 2. Download Code and Setup Colab/2. Setup - Download Code and Configure Colab.mp4 22.6 MB
  199. 2. Download Code and Setup Colab/2. Setup - Download Code and Configure Colab.srt 4.2 KB
  200. 20. PyTorch Lightning/1. Introduction to PyTorch Lightning.mp4 38.2 MB
  201. 20. PyTorch Lightning/1. Introduction to PyTorch Lightning.srt 12.1 KB
  202. 20. PyTorch Lightning/2. Lightning Setup and Class.mp4 62.1 MB
  203. 20. PyTorch Lightning/2. Lightning Setup and Class.srt 9.5 KB
  204. 20. PyTorch Lightning/3. Auto Batch and Learning Rate Selection plus Tensorboards.mp4 106.6 MB
  205. 20. PyTorch Lightning/3. Auto Batch and Learning Rate Selection plus Tensorboards.srt 17.1 KB
  206. 20. PyTorch Lightning/4. PyTorch Lightning Calls, Saving, Inference.mp4 71.6 MB
  207. 20. PyTorch Lightning/4. PyTorch Lightning Calls, Saving, Inference.srt 13.0 KB
  208. 20. PyTorch Lightning/5. Training on Multiple GPU, Profiling and TPUs.mp4 64.1 MB
  209. 20. PyTorch Lightning/5. Training on Multiple GPU, Profiling and TPUs.srt 9.9 KB
  210. 21. Transfer Learning and Fine Tuning/1. Transfer Learning Introduction.mp4 31.9 MB
  211. 21. Transfer Learning and Fine Tuning/1. Transfer Learning Introduction.srt 12.7 KB
  212. 21. Transfer Learning and Fine Tuning/2. Transfer Learning in PyTorch Lightning.mp4 55.9 MB
  213. 21. Transfer Learning and Fine Tuning/2. Transfer Learning in PyTorch Lightning.srt 9.7 KB
  214. 21. Transfer Learning and Fine Tuning/3. Transfer Learning and Fine Tuning with Keras.mp4 96.0 MB
  215. 21. Transfer Learning and Fine Tuning/3. Transfer Learning and Fine Tuning with Keras.srt 17.2 KB
  216. 21. Transfer Learning and Fine Tuning/4. Keras Feature Extraction.mp4 131.8 MB
  217. 21. Transfer Learning and Fine Tuning/4. Keras Feature Extraction.srt 19.5 KB
  218. 21. Transfer Learning and Fine Tuning/5. PyTorch Fine Tuning.mp4 121.6 MB
  219. 21. Transfer Learning and Fine Tuning/5. PyTorch Fine Tuning.srt 21.7 KB
  220. 21. Transfer Learning and Fine Tuning/6. PyTorch Transfer Learning and Freezing Network Layers.mp4 28.8 MB
  221. 21. Transfer Learning and Fine Tuning/6. PyTorch Transfer Learning and Freezing Network Layers.srt 5.2 KB
  222. 21. Transfer Learning and Fine Tuning/7. PyTorch Feature Extraction.mp4 103.4 MB
  223. 21. Transfer Learning and Fine Tuning/7. PyTorch Feature Extraction.srt 15.9 KB
  224. 21. Transfer Learning and Fine Tuning/GetFreeCourses.Co.url 116 bytes
  225. 22. Google DeepStream and Neural Style Transfer/1. Introduction to Google DeepDream Visualizations.mp4 39.9 MB
  226. 22. Google DeepStream and Neural Style Transfer/1. Introduction to Google DeepDream Visualizations.srt 7.3 KB
  227. 22. Google DeepStream and Neural Style Transfer/2. Google DeepDream in Keras.mp4 72.9 MB
  228. 22. Google DeepStream and Neural Style Transfer/2. Google DeepDream in Keras.srt 10.5 KB
  229. 22. Google DeepStream and Neural Style Transfer/3. Google DeepDream in PyTorch.mp4 58.3 MB
  230. 22. Google DeepStream and Neural Style Transfer/3. Google DeepDream in PyTorch.srt 6.3 KB
  231. 22. Google DeepStream and Neural Style Transfer/4. Introduction to Neural Style Transfer.mp4 50.0 MB
  232. 22. Google DeepStream and Neural Style Transfer/4. Introduction to Neural Style Transfer.srt 14.5 KB
  233. 22. Google DeepStream and Neural Style Transfer/5. Neural Style Transfer in Keras.mp4 141.1 MB
  234. 22. Google DeepStream and Neural Style Transfer/5. Neural Style Transfer in Keras.srt 22.3 KB
  235. 22. Google DeepStream and Neural Style Transfer/6. Neural Style Transfer in PyTorch.mp4 57.9 MB
  236. 22. Google DeepStream and Neural Style Transfer/6. Neural Style Transfer in PyTorch.srt 7.6 KB
  237. 23. Autoencoders/1. Introduction to Autoencoders.mp4 25.4 MB
  238. 23. Autoencoders/1. Introduction to Autoencoders.srt 10.5 KB
  239. 23. Autoencoders/2. Autoencoders in Keras.mp4 80.5 MB
  240. 23. Autoencoders/2. Autoencoders in Keras.srt 13.7 KB
  241. 23. Autoencoders/3. Autoencoders in PyTorch.mp4 66.0 MB
  242. 23. Autoencoders/3. Autoencoders in PyTorch.srt 11.2 KB
  243. 24. Generative Adversarial Networks (GANs)/1. Introduction to GANs.mp4 43.6 MB
  244. 24. Generative Adversarial Networks (GANs)/1. Introduction to GANs.srt 6.5 KB
  245. 24. Generative Adversarial Networks (GANs)/1.1 Slides - Generative Adverserial Networks.pdf 28.9 MB
  246. 24. Generative Adversarial Networks (GANs)/2. How Do GANs Work.mp4 26.5 MB
  247. 24. Generative Adversarial Networks (GANs)/2. How Do GANs Work.srt 7.3 KB
  248. 24. Generative Adversarial Networks (GANs)/3. Training GANs.mp4 49.3 MB
  249. 24. Generative Adversarial Networks (GANs)/3. Training GANs.srt 11.0 KB
  250. 24. Generative Adversarial Networks (GANs)/4. Use Cases for GANs.mp4 108.1 MB
  251. 24. Generative Adversarial Networks (GANs)/4. Use Cases for GANs.srt 13.4 KB
  252. 24. Generative Adversarial Networks (GANs)/5. Keras DCGAN with MNIST.mp4 100.9 MB
  253. 24. Generative Adversarial Networks (GANs)/5. Keras DCGAN with MNIST.srt 16.4 KB
  254. 24. Generative Adversarial Networks (GANs)/6. PyTorch GANs.mp4 65.4 MB
  255. 24. Generative Adversarial Networks (GANs)/6. PyTorch GANs.srt 11.4 KB
  256. 24. Generative Adversarial Networks (GANs)/7. Super Resolution GAN.mp4 102.2 MB
  257. 24. Generative Adversarial Networks (GANs)/7. Super Resolution GAN.srt 13.6 KB
  258. 24. Generative Adversarial Networks (GANs)/8. AnimeGAN.mp4 34.8 MB
  259. 24. Generative Adversarial Networks (GANs)/8. AnimeGAN.srt 5.4 KB
  260. 24. Generative Adversarial Networks (GANs)/9. ArcaneGAN.mp4 31.5 MB
  261. 24. Generative Adversarial Networks (GANs)/9. ArcaneGAN.srt 3.7 KB
  262. 25. Siamese Network/1. Introduction to Siamese Networks.mp4 28.8 MB
  263. 25. Siamese Network/1. Introduction to Siamese Networks.srt 8.7 KB
  264. 25. Siamese Network/2. Training Siamese Networks.mp4 13.3 MB
  265. 25. Siamese Network/2. Training Siamese Networks.srt 4.8 KB
  266. 25. Siamese Network/3. Siamese Networks in Keras.mp4 73.0 MB
  267. 25. Siamese Network/3. Siamese Networks in Keras.srt 12.8 KB
  268. 25. Siamese Network/4. Siamese Networks in PyTorch.mp4 67.9 MB
  269. 25. Siamese Network/4. Siamese Networks in PyTorch.srt 9.8 KB
  270. 26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/1. Face Recognition Overview.mp4 32.0 MB
  271. 26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/1. Face Recognition Overview.srt 10.5 KB
  272. 26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/2. Facial Similarity Keras VGGFace.mp4 56.6 MB
  273. 26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/2. Facial Similarity Keras VGGFace.srt 9.2 KB
  274. 26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/3. Face Recognition Keras One Shot Learning and Friends.mp4 80.6 MB
  275. 26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/3. Face Recognition Keras One Shot Learning and Friends.srt 11.1 KB
  276. 26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/4. Face Recognition PyTorch FaceNet.mp4 51.3 MB
  277. 26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/4. Face Recognition PyTorch FaceNet.srt 7.9 KB
  278. 26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.mp4 132.4 MB
  279. 26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.srt 20.0 KB
  280. 27. Object Detection/1. Object Detection.mp4 65.2 MB
  281. 27. Object Detection/1. Object Detection.srt 13.1 KB
  282. 27. Object Detection/2. History of Object Detectors.mp4 52.9 MB
  283. 27. Object Detection/2. History of Object Detectors.srt 12.1 KB
  284. 27. Object Detection/3. Intersection Over Union.mp4 17.4 MB
  285. 27. Object Detection/3. Intersection Over Union.srt 4.3 KB
  286. 27. Object Detection/4. Mean Average Precision.mp4 45.7 MB
  287. 27. Object Detection/4. Mean Average Precision.srt 11.7 KB
  288. 27. Object Detection/5. Non Maximum Suppression.mp4 19.5 MB
  289. 27. Object Detection/5. Non Maximum Suppression.srt 4.4 KB
  290. 27. Object Detection/6. R-CNNs, Fast R-CNNs and Faster R-CNNs.mp4 41.2 MB
  291. 27. Object Detection/6. R-CNNs, Fast R-CNNs and Faster R-CNNs.srt 11.2 KB
  292. 27. Object Detection/7. Single Shot Detectors (SSDs).mp4 30.9 MB
  293. 27. Object Detection/7. Single Shot Detectors (SSDs).srt 9.9 KB
  294. 28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/1. Introduction to YOLO.mp4 33.5 MB
  295. 28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/1. Introduction to YOLO.srt 8.5 KB
  296. 28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/2. How YOLO Works.mp4 29.3 MB
  297. 28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/2. How YOLO Works.srt 6.4 KB
  298. 28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/3. Training YOLO.mp4 25.0 MB
  299. 28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/3. Training YOLO.srt 6.5 KB
  300. 28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/4. YOLO Evolution.mp4 24.2 MB
  301. 28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/4. YOLO Evolution.srt 7.9 KB
  302. 28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/5. EfficientDet.mp4 30.7 MB
  303. 28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/5. EfficientDet.srt 8.2 KB
  304. 28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/6. Detectron2.mp4 40.6 MB
  305. 28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/6. Detectron2.srt 9.8 KB
  306. 29. Gun Detector - Scaled-YoloV4/1. Gun Detector - Scaled-YoloV4.mp4 128.5 MB
  307. 29. Gun Detector - Scaled-YoloV4/1. Gun Detector - Scaled-YoloV4.srt 17.7 KB
  308. 3. OpenCV - Image Operations/1. Getting Started with OpenCV4.mp4 94.7 MB
  309. 3. OpenCV - Image Operations/1. Getting Started with OpenCV4.srt 23.0 KB
  310. 3. OpenCV - Image Operations/10. Dilation, Erosion and Edge Detection.mp4 80.0 MB
  311. 3. OpenCV - Image Operations/10. Dilation, Erosion and Edge Detection.srt 14.4 KB
  312. 3. OpenCV - Image Operations/2. Grayscaling Images.mp4 52.5 MB
  313. 3. OpenCV - Image Operations/2. Grayscaling Images.srt 9.4 KB
  314. 3. OpenCV - Image Operations/3. Colour Spaces - RGB and HSV.mp4 68.3 MB
  315. 3. OpenCV - Image Operations/3. Colour Spaces - RGB and HSV.srt 12.2 KB
  316. 3. OpenCV - Image Operations/4. Drawing on Images.mp4 52.0 MB
  317. 3. OpenCV - Image Operations/4. Drawing on Images.srt 14.4 KB
  318. 3. OpenCV - Image Operations/5. Transformations - Translations and Rotations.mp4 67.2 MB
  319. 3. OpenCV - Image Operations/5. Transformations - Translations and Rotations.srt 14.0 KB
  320. 3. OpenCV - Image Operations/6. Scaling, Re-sizing, Interpolations and Cropping.mp4 114.9 MB
  321. 3. OpenCV - Image Operations/6. Scaling, Re-sizing, Interpolations and Cropping.srt 19.0 KB
  322. 3. OpenCV - Image Operations/7. Arithmetic and Bitwise Operations.mp4 66.1 MB
  323. 3. OpenCV - Image Operations/7. Arithmetic and Bitwise Operations.srt 14.5 KB
  324. 3. OpenCV - Image Operations/8. Convolutions, Blurring and Sharpening Images.mp4 59.0 MB
  325. 3. OpenCV - Image Operations/8. Convolutions, Blurring and Sharpening Images.srt 9.0 KB
  326. 3. OpenCV - Image Operations/9. Thresholding, Binarization & Adaptive Thresholding.mp4 117.2 MB
  327. 3. OpenCV - Image Operations/9. Thresholding, Binarization & Adaptive Thresholding.srt 18.7 KB
  328. 30. Mask Detector TFODAPI MobileNetV2_SSD/1. Mask Detector TFODAPI MobileNetV2_SSD.mp4 81.2 MB
  329. 30. Mask Detector TFODAPI MobileNetV2_SSD/1. Mask Detector TFODAPI MobileNetV2_SSD.srt 11.1 KB
  330. 31. Sign Language Detector TFODAPI EfficentDet/1. Sign Language Detector TFODAPI EfficentDet.mp4 85.2 MB
  331. 31. Sign Language Detector TFODAPI EfficentDet/1. Sign Language Detector TFODAPI EfficentDet.srt 10.6 KB
  332. 32. Pothole Detector - TinyYOLOv4/1. Pothole Detector - TinyYOLOv4.mp4 59.5 MB
  333. 32. Pothole Detector - TinyYOLOv4/1. Pothole Detector - TinyYOLOv4.srt 7.7 KB
  334. 33. Mushroom Detector Detectron2/1. Mushroom Detector Detectron2.mp4 65.0 MB
  335. 33. Mushroom Detector Detectron2/1. Mushroom Detector Detectron2.srt 7.3 KB
  336. 34. Website Region Detector YOLOv4 Darknet/1. Website Region Detector YOLOv4 Darknet.mp4 49.6 MB
  337. 34. Website Region Detector YOLOv4 Darknet/1. Website Region Detector YOLOv4 Darknet.srt 6.7 KB
  338. 35. Drone Maritime Detector R-CNN/1. Drone Maritime Detector R-CNN.mp4 56.9 MB
  339. 35. Drone Maritime Detector R-CNN/1. Drone Maritime Detector R-CNN.srt 7.6 KB
  340. 36. Chess Piece YOLOv3/1. Chess Piece YOLOv3.mp4 42.7 MB
  341. 36. Chess Piece YOLOv3/1. Chess Piece YOLOv3.srt 7.0 KB
  342. 37. Bloodcell Detector YOLOv5/1. Bloodcell Detector YOLOv5.mp4 58.5 MB
  343. 37. Bloodcell Detector YOLOv5/1. Bloodcell Detector YOLOv5.srt 6.6 KB
  344. 38. Hard Hat Detector EfficentDet/1. Hard Hat Detector EfficentDet.mp4 30.6 MB
  345. 38. Hard Hat Detector EfficentDet/1. Hard Hat Detector EfficentDet.srt 5.3 KB
  346. 39. Plant Doctor Detector YOLOv5/1. Plant Doctor Detector YOLOv5.mp4 71.1 MB
  347. 39. Plant Doctor Detector YOLOv5/1. Plant Doctor Detector YOLOv5.srt 9.3 KB
  348. 4. OpenCV - Image Segmentation/1. Contours - Drawing, Hierarchy and Modes.mp4 117.1 MB
  349. 4. OpenCV - Image Segmentation/1. Contours - Drawing, Hierarchy and Modes.srt 20.4 KB
  350. 4. OpenCV - Image Segmentation/2. Moments, Sorting, Approximating and Matching Contours.mp4 139.8 MB
  351. 4. OpenCV - Image Segmentation/2. Moments, Sorting, Approximating and Matching Contours.srt 24.8 KB
  352. 4. OpenCV - Image Segmentation/3. Line, Circle and Blob Detection.mp4 56.6 MB
  353. 4. OpenCV - Image Segmentation/3. Line, Circle and Blob Detection.srt 8.9 KB
  354. 4. OpenCV - Image Segmentation/4. Counting Circles, Ellipses and Finding Waldo with Template Matching.mp4 68.5 MB
  355. 4. OpenCV - Image Segmentation/4. Counting Circles, Ellipses and Finding Waldo with Template Matching.srt 9.3 KB
  356. 4. OpenCV - Image Segmentation/5. Finding Corners.mp4 36.5 MB
  357. 4. OpenCV - Image Segmentation/5. Finding Corners.srt 6.5 KB
  358. 40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/1. Introduction to Deep Segmentation.mp4 78.2 MB
  359. 40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/1. Introduction to Deep Segmentation.srt 16.7 KB
  360. 40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/2. Image Segmentation Keras UNET SegNet.mp4 73.1 MB
  361. 40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/2. Image Segmentation Keras UNET SegNet.srt 11.3 KB
  362. 40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/3. PyTorch DeepLabV3.mp4 60.1 MB
  363. 40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/3. PyTorch DeepLabV3.srt 8.0 KB
  364. 40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/4. Mask-RCNN Tensorflow Matterport.mp4 61.7 MB
  365. 40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/4. Mask-RCNN Tensorflow Matterport.srt 6.5 KB
  366. 40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/5. Detectron2 Mask R-CNN.mp4 70.9 MB
  367. 40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/5. Detectron2 Mask R-CNN.srt 7.3 KB
  368. 40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/6. Train Mask R-CNN Shapes Dataset.mp4 55.0 MB
  369. 40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/6. Train Mask R-CNN Shapes Dataset.srt 6.8 KB
  370. 41. Body Pose Estimation/1. Body Pose Estimation.mp4 46.2 MB
  371. 41. Body Pose Estimation/1. Body Pose Estimation.srt 4.5 KB
  372. 42. Tracking with DeepSORT/1. DeepSORT Introduction.mp4 59.6 MB
  373. 42. Tracking with DeepSORT/1. DeepSORT Introduction.srt 12.4 KB
  374. 42. Tracking with DeepSORT/2. DeepSORT with YOLOv5.mp4 58.3 MB
  375. 42. Tracking with DeepSORT/2. DeepSORT with YOLOv5.srt 5.6 KB
  376. 43. Deep Fakes/1. Creating a Deep Fake.mp4 58.7 MB
  377. 43. Deep Fakes/1. Creating a Deep Fake.srt 7.5 KB
  378. 44. Vision Transformers - ViTs/1. Introduction to Vision Transformers.mp4 26.7 MB
  379. 44. Vision Transformers - ViTs/1. Introduction to Vision Transformers.srt 7.5 KB
  380. 44. Vision Transformers - ViTs/2. Vision Transformer in Detail with PyTorch.mp4 76.2 MB
  381. 44. Vision Transformers - ViTs/2. Vision Transformer in Detail with PyTorch.srt 12.1 KB
  382. 44. Vision Transformers - ViTs/3. Vision Transformers in Keras.mp4 48.0 MB
  383. 44. Vision Transformers - ViTs/3. Vision Transformers in Keras.srt 7.5 KB
  384. 45. BiT BigTransfer Classifier Keras/1. BiT BigTransfer Classifier Keras.mp4 58.6 MB
  385. 45. BiT BigTransfer Classifier Keras/1. BiT BigTransfer Classifier Keras.srt 9.2 KB
  386. 46. Depth Estimation/1. Depth Estimation Project.mp4 76.8 MB
  387. 46. Depth Estimation/1. Depth Estimation Project.srt 10.7 KB
  388. 47. Image Similarity using Metric Learning/1. Image Similarity using Metric Learning.mp4 56.0 MB
  389. 47. Image Similarity using Metric Learning/1. Image Similarity using Metric Learning.srt 7.9 KB
  390. 48. Image Captioning with Keras/1. Image Captioning with Keras.mp4 96.1 MB
  391. 48. Image Captioning with Keras/1. Image Captioning with Keras.srt 14.1 KB
  392. 49. Video Classification usign CNN+RNN/1. Video Classification usign CNN+RNN.mp4 56.8 MB
  393. 49. Video Classification usign CNN+RNN/1. Video Classification usign CNN+RNN.srt 7.8 KB
  394. 5. OpenCV - Haar Cascade Classifiers/1. Face and Eye Detection with Haar Cascade Classifiers.mp4 110.2 MB
  395. 5. OpenCV - Haar Cascade Classifiers/1. Face and Eye Detection with Haar Cascade Classifiers.srt 17.8 KB
  396. 5. OpenCV - Haar Cascade Classifiers/2. Vehicle and Pedestrian Detection.mp4 86.1 MB
  397. 5. OpenCV - Haar Cascade Classifiers/2. Vehicle and Pedestrian Detection.srt 14.7 KB
  398. 50. Video Classification with Transformers/1. Video Classification with Transformers.mp4 49.2 MB
  399. 50. Video Classification with Transformers/1. Video Classification with Transformers.srt 6.5 KB
  400. 51. Point Cloud Classification PointNet/1. Point Cloud Classification PointNet.mp4 59.5 MB
  401. 51. Point Cloud Classification PointNet/1. Point Cloud Classification PointNet.srt 8.3 KB
  402. 52. Point Cloud Segmentation Using PointNet/1. Point Cloud Segmentation Using PointNet.mp4 92.1 MB
  403. 52. Point Cloud Segmentation Using PointNet/1. Point Cloud Segmentation Using PointNet.srt 13.2 KB
  404. 52. Point Cloud Segmentation Using PointNet/GetFreeCourses.Co.url 116 bytes
  405. 53. Medical Project - X-Ray Pneumonia Prediction/1. X-Ray Pneumonia Prediction.mp4 61.4 MB
  406. 53. Medical Project - X-Ray Pneumonia Prediction/1. X-Ray Pneumonia Prediction.srt 8.2 KB
  407. 54. Medical Project - 3D CT Scan Classification/1. 3D CT Scan Classification.mp4 60.3 MB
  408. 54. Medical Project - 3D CT Scan Classification/1. 3D CT Scan Classification.srt 7.9 KB
  409. 55. Low Light Image Enhancement MIRNet/1. Low Light Image Enhancement MIRNet.mp4 91.5 MB
  410. 55. Low Light Image Enhancement MIRNet/1. Low Light Image Enhancement MIRNet.srt 10.6 KB
  411. 56. Deploy your CV App using Flask RestFUL API & Web App/1. Flask RestFUL API.mp4 54.9 MB
  412. 56. Deploy your CV App using Flask RestFUL API & Web App/1. Flask RestFUL API.srt 10.0 KB
  413. 56. Deploy your CV App using Flask RestFUL API & Web App/2. Flask Web App.mp4 37.3 MB
  414. 56. Deploy your CV App using Flask RestFUL API & Web App/2. Flask Web App.srt 6.1 KB
  415. 57. OCR Captcha Cracker/1. OCR Captcha Cracker.mp4 46.4 MB
  416. 57. OCR Captcha Cracker/1. OCR Captcha Cracker.srt 7.7 KB
  417. 6. OpenCV - Image Analysis and Transformation/1. Perspective Transforms.mp4 64.4 MB
  418. 6. OpenCV - Image Analysis and Transformation/1. Perspective Transforms.srt 12.7 KB
  419. 6. OpenCV - Image Analysis and Transformation/2. Histograms and K-Means Clustering for Dominant Colors.mp4 79.9 MB
  420. 6. OpenCV - Image Analysis and Transformation/2. Histograms and K-Means Clustering for Dominant Colors.srt 15.7 KB
  421. 6. OpenCV - Image Analysis and Transformation/3. Comparing Images MSE and Structual Similarity.mp4 42.1 MB
  422. 6. OpenCV - Image Analysis and Transformation/3. Comparing Images MSE and Structual Similarity.srt 8.4 KB
  423. 6. OpenCV - Image Analysis and Transformation/4. Filtering on Colour.mp4 40.9 MB
  424. 6. OpenCV - Image Analysis and Transformation/4. Filtering on Colour.srt 8.4 KB
  425. 6. OpenCV - Image Analysis and Transformation/5. Watershed Algorithm Marker-Dased Image Segmentation.mp4 43.3 MB
  426. 6. OpenCV - Image Analysis and Transformation/5. Watershed Algorithm Marker-Dased Image Segmentation.srt 8.2 KB
  427. 6. OpenCV - Image Analysis and Transformation/6. Background and Foreground Subtraction.mp4 66.1 MB
  428. 6. OpenCV - Image Analysis and Transformation/6. Background and Foreground Subtraction.srt 11.2 KB
  429. 7. OpenCV - Motion and Object Tracking/1. Motion Tracking with Mean Shift and CAMSHIFT.mp4 71.1 MB
  430. 7. OpenCV - Motion and Object Tracking/1. Motion Tracking with Mean Shift and CAMSHIFT.srt 10.6 KB
  431. 7. OpenCV - Motion and Object Tracking/2. Object Tracking with Optical Flow.mp4 95.2 MB
  432. 7. OpenCV - Motion and Object Tracking/2. Object Tracking with Optical Flow.srt 15.5 KB
  433. 7. OpenCV - Motion and Object Tracking/3. Simple Object Tracking by Color.mp4 48.6 MB
  434. 7. OpenCV - Motion and Object Tracking/3. Simple Object Tracking by Color.srt 7.6 KB
  435. 7. OpenCV - Motion and Object Tracking/GetFreeCourses.Co.url 116 bytes
  436. 8. OpenCV - Facial Landmark Detection & Face Swaps/1. Facial Landmark Detection with Dlib.mp4 37.5 MB
  437. 8. OpenCV - Facial Landmark Detection & Face Swaps/1. Facial Landmark Detection with Dlib.srt 8.2 KB
  438. 8. OpenCV - Facial Landmark Detection & Face Swaps/2. Face Swapping with Dlib.mp4 49.4 MB
  439. 8. OpenCV - Facial Landmark Detection & Face Swaps/2. Face Swapping with Dlib.srt 8.1 KB
  440. 9. OpenCV Projects/1. Tilt Shift Effects.mp4 59.0 MB
  441. 9. OpenCV Projects/1. Tilt Shift Effects.srt 8.7 KB
  442. 9. OpenCV Projects/10. Add and Remove Noise and Fix Contrast with Histogram Equalization.mp4 89.0 MB
  443. 9. OpenCV Projects/10. Add and Remove Noise and Fix Contrast with Histogram Equalization.srt 13.8 KB
  444. 9. OpenCV Projects/11. Detect Blur in Images.mp4 39.6 MB
  445. 9. OpenCV Projects/11. Detect Blur in Images.srt 7.5 KB
  446. 9. OpenCV Projects/12. Facial Recognition.mp4 84.3 MB
  447. 9. OpenCV Projects/12. Facial Recognition.srt 14.5 KB
  448. 9. OpenCV Projects/2. GrabCut Algorithm for Background Removal.mp4 45.6 MB
  449. 9. OpenCV Projects/2. GrabCut Algorithm for Background Removal.srt 9.2 KB
  450. 9. OpenCV Projects/3. OCR with PyTesseract and EasyOCR (Text Detection).mp4 119.5 MB
  451. 9. OpenCV Projects/3. OCR with PyTesseract and EasyOCR (Text Detection).srt 18.9 KB
  452. 9. OpenCV Projects/4. Barcode, QR Generation and Reading.mp4 68.7 MB
  453. 9. OpenCV Projects/4. Barcode, QR Generation and Reading.srt 13.1 KB
  454. 9. OpenCV Projects/5. YOLOv3 in OpenCV.mp4 79.5 MB
  455. 9. OpenCV Projects/5. YOLOv3 in OpenCV.srt 12.5 KB
  456. 9. OpenCV Projects/6. Neural Style Transfer with OpenCV.mp4 143.0 MB
  457. 9. OpenCV Projects/6. Neural Style Transfer with OpenCV.srt 16.8 KB
  458. 9. OpenCV Projects/7. SSDs in OpenCV.mp4 51.8 MB
  459. 9. OpenCV Projects/7. SSDs in OpenCV.srt 6.6 KB
  460. 9. OpenCV Projects/8. Colorize Black and White Photos using a Caffe Model in OpenCV.mp4 81.0 MB
  461. 9. OpenCV Projects/8. Colorize Black and White Photos using a Caffe Model in OpenCV.srt 11.5 KB
  462. 9. OpenCV Projects/9. Inpainting to Restore Damaged Photos.mp4 28.5 MB
  463. 9. OpenCV Projects/9. Inpainting to Restore Damaged Photos.srt 5.7 KB
  464. Download Paid Udemy Courses For Free.url 116 bytes
  465. GetFreeCourses.Co.url 116 bytes

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