Modern Computer Vision PyTorch Tensorflow2 Keras and OpenCV4__2022-02udemy

1. 01 Introduction/1 Course Introduction.mkv1.6MB
2. 01 Introduction/2 Course Overview.mkv1.46MB
3. 01 Introduction/3 What Makes Computer Vision Hard.mkv792.35KB
4. 01 Introduction/4 What Are Images.mkv874.07KB
5. 02 Download Code and Setup Colab/2 Setup - Download Code and Configure Colab.mkv412.15KB
6. 03 OpenCV - Image Operations/01 Getting Started with OpenCV4.mkv2.1MB
7. 03 OpenCV - Image Operations/02 Grayscaling Images.mkv945.32KB
8. 03 OpenCV - Image Operations/03 Colour Spaces - RGB and HSV.mkv1.14MB
9. 03 OpenCV - Image Operations/04 Drawing on Images.mkv1.19MB
10. 03 OpenCV - Image Operations/05 Transformations - Translations and Rotations.mkv1.33MB
11. 03 OpenCV - Image Operations/06 Scaling, Re-sizing, Interpolations and Cropping.mkv2.02MB
12. 03 OpenCV - Image Operations/07 Arithmetic and Bitwise Operations.mkv1.46MB
13. 03 OpenCV - Image Operations/08 Convolutions, Blurring and Sharpening Images.mkv1.09MB
14. 03 OpenCV - Image Operations/09 Thresholding, Binarization and Adaptive Thresholding.mkv2.06MB
15. 03 OpenCV - Image Operations/10 Dilation, Erosion and Edge Detection.mkv1.44MB
16. 04 OpenCV - Image Segmentation/1 Contours - Drawing, Hierarchy and Modes.mkv2.29MB
17. 04 OpenCV - Image Segmentation/2 Moments, Sorting, Approximating and Matching Contours.mkv2.54MB
18. 04 OpenCV - Image Segmentation/3 Line, Circle and Blob Detection.mkv968.81KB
19. 04 OpenCV - Image Segmentation/4 Counting Circles, Ellipses and Finding Waldo with Template Matching.mkv1.03MB
20. 04 OpenCV - Image Segmentation/5 Finding Corners.mkv687.44KB
21. 05 OpenCV - Haar Cascade Classifiers/1 Face and Eye Detection with Haar Cascade Classifiers.mkv1.72MB
22. 05 OpenCV - Haar Cascade Classifiers/2 Vehicle and Pedestrian Detection.mkv1.51MB
23. 06 OpenCV - Image Analysis and Transformation/1 Perspective Transforms.mkv1.19MB
24. 06 OpenCV - Image Analysis and Transformation/2 Histograms and K-Means Clustering for Dominant Colors.mkv1.44MB
25. 06 OpenCV - Image Analysis and Transformation/3 Comparing Images MSE and Structual Similarity.mkv792.63KB
26. 06 OpenCV - Image Analysis and Transformation/4 Filtering on Colour.mkv832.36KB
27. 06 OpenCV - Image Analysis and Transformation/5 Watershed Algorithm Marker-Dased Image Segmentation.mkv870.28KB
28. 06 OpenCV - Image Analysis and Transformation/6 Background and Foreground Subtraction.mkv1.37MB
29. 07 OpenCV - Motion and Object Tracking/1 Motion Tracking with Mean Shift and CAMSHIFT.mkv1.2MB
30. 07 OpenCV - Motion and Object Tracking/2 Object Tracking with Optical Flow.mkv1.61MB
31. 07 OpenCV - Motion and Object Tracking/3 Simple Object Tracking by Color.mkv956.48KB
32. 08 OpenCV - Facial Landmark Detection and Face Swaps/1 Facial Landmark Detection with Dlib.mkv696.52KB
33. 08 OpenCV - Facial Landmark Detection and Face Swaps/2 Face Swapping with Dlib.mkv1.53MB
34. 09 OpenCV Projects/01 Tilt Shift Effects.mkv1.07MB
35. 09 OpenCV Projects/02 GrabCut Algorithm for Background Removal.mkv937.75KB
36. 09 OpenCV Projects/03 OCR with PyTesseract and EasyOCR (Text Detection).mkv2.29MB
37. 09 OpenCV Projects/04 Barcode, QR Generation and Reading.mkv1.35MB
38. 09 OpenCV Projects/05 YOLOv3 in OpenCV.mkv1.41MB
39. 09 OpenCV Projects/06 Neural Style Transfer with OpenCV.mkv2.79MB
40. 09 OpenCV Projects/07 SSDs in OpenCV.mkv967.69KB
41. 09 OpenCV Projects/08 Colorize Black and White Photos Using a Caffe Model in OpenCV.mkv1.24MB
42. 09 OpenCV Projects/09 Inpainting to Restore Damaged Photos.mkv526.6KB
43. 09 OpenCV Projects/10 Add and Remove Noise and Fix Contrast with Histogram Equalization.mkv1.47MB
44. 09 OpenCV Projects/11 Detect Blur in Images.mkv736.77KB
45. 09 OpenCV Projects/12 Facial Recognition.mkv1.39MB
46. 10 OpenCV - Working with Video/1 Using Your Webcam and Creating a Live Sketch of Yourself.mkv1.52MB
47. 10 OpenCV - Working with Video/2 Opening Video Files in OpenCV.mkv883.62KB
48. 10 OpenCV - Working with Video/3 Saving or Recording Videos in OpenCV.mkv694.23KB
49. 10 OpenCV - Working with Video/4 Video Streams and CCTV - RTSP and IP.mkv826.58KB
50. 10 OpenCV - Working with Video/5 Auto Reconnect to Video Streams.mkv679.78KB
51. 10 OpenCV - Working with Video/6 Capturing Video Using Screenshots.mkv1016.66KB
52. 10 OpenCV - Working with Video/7 Importing YouTube Videos into OpenCV.mkv1.42MB
53. 11 Deep Learning in Computer Vision Introduction/01 Introduction to Convolution Neural Networks.mkv593.83KB
54. 11 Deep Learning in Computer Vision Introduction/02 Convolutions.mkv1.03MB
55. 11 Deep Learning in Computer Vision Introduction/03 Feature Detectors.mkv825.04KB
56. 11 Deep Learning in Computer Vision Introduction/04 3D Convolutions and Color Images.mkv562.35KB
57. 11 Deep Learning in Computer Vision Introduction/05 Kernel Size and Depth.mkv523.91KB
58. 11 Deep Learning in Computer Vision Introduction/06 Padding.mkv463.06KB
59. 11 Deep Learning in Computer Vision Introduction/07 Stride.mkv633KB
60. 11 Deep Learning in Computer Vision Introduction/08 Activation Functions.mkv610.66KB
61. 11 Deep Learning in Computer Vision Introduction/09 Pooling.mkv791.48KB
62. 11 Deep Learning in Computer Vision Introduction/10 Fully Connected Layers.mkv366.33KB
63. 11 Deep Learning in Computer Vision Introduction/11 Softmax.mkv332.11KB
64. 11 Deep Learning in Computer Vision Introduction/12 Putting Together Your Convolutional Neural Network.mkv870.77KB
65. 11 Deep Learning in Computer Vision Introduction/13 Parameter Counts in CNNs.mkv628.13KB
66. 11 Deep Learning in Computer Vision Introduction/14 Why CNNs Work So Well on Images.mkv532.49KB
67. 11 Deep Learning in Computer Vision Introduction/15 Training a CNN.mkv737.37KB
68. 11 Deep Learning in Computer Vision Introduction/16 Loss Functions.mkv773.71KB
69. 11 Deep Learning in Computer Vision Introduction/17 Backpropagation.mkv832.81KB
70. 11 Deep Learning in Computer Vision Introduction/18 Gradient Descent.mkv959.28KB
71. 11 Deep Learning in Computer Vision Introduction/19 Optimisers and Learning Rate Schedules.mkv897.76KB
72. 11 Deep Learning in Computer Vision Introduction/20 Deep Learning CNN Recap.mkv1.17MB
73. 11 Deep Learning in Computer Vision Introduction/21 Deep Learning History.mkv1.48MB
74. 11 Deep Learning in Computer Vision Introduction/22 Deep Learning Libraries Overview.mkv1.23MB
75. 12 Building CNNs in PyTorch/1 Importing Required Libraries.mkv949.41KB
76. 12 Building CNNs in PyTorch/2 Transformation Pipeline.mkv504.8KB
77. 12 Building CNNs in PyTorch/3 Inspect and Visualise Data.mkv1.18MB
78. 12 Building CNNs in PyTorch/4 Data Loaders.mkv613.05KB
79. 12 Building CNNs in PyTorch/5 Building Our Model.mkv1.57MB
80. 12 Building CNNs in PyTorch/6 Optimisers and Loss Function.mkv297.32KB
81. 12 Building CNNs in PyTorch/7 Training Your Model.mkv1.52MB
82. 12 Building CNNs in PyTorch/8 Saving Model and Displaying Results.mkv1006.57KB
83. 12 Building CNNs in PyTorch/9 Plot and Visualize Your Results.mkv550.38KB
84. 13 Building CNNs in TensorFlow with Keras/1 Loading Data.mkv611.63KB
85. 13 Building CNNs in TensorFlow with Keras/2 View and Inspect Data.mkv585.49KB
86. 13 Building CNNs in TensorFlow with Keras/3 Preprocessing Our Data.mkv613.95KB
87. 13 Building CNNs in TensorFlow with Keras/4 Constructing the CNN.mkv961.67KB
88. 13 Building CNNs in TensorFlow with Keras/5 Training the Model.mkv789.63KB
89. 13 Building CNNs in TensorFlow with Keras/6 Plotting the Training Results.mkv751.19KB
90. 13 Building CNNs in TensorFlow with Keras/7 Saving and Loading and Visualising Results.mkv1.39MB
91. 14 Assessing Model Performance/1 Deep Learning Libraries PyTorch vs Keras Review.mkv1.54MB
92. 14 Assessing Model Performance/2 Assessing Model Performance.mkv699.66KB
93. 14 Assessing Model Performance/3 Confusion Matrix and Classification Report.mkv1.53MB
94. 14 Assessing Model Performance/4 Keras Viewing Misclassifications.mkv1.28MB
95. 14 Assessing Model Performance/5 Keras - Confusion Matrix and Classification Report.mkv826.5KB
96. 14 Assessing Model Performance/6 PyTorch Viewing Misclassifications.mkv957.08KB
97. 14 Assessing Model Performance/7 PyTorch - Confusion Matrix and Misclassifications.mkv610.13KB
98. 15 Improving Models and Advanced CNN Design/01 What is Overfitting and Generalisation.mkv1.03MB
99. 15 Improving Models and Advanced CNN Design/02 Introduction to Regularization.mkv243.05KB
100. 15 Improving Models and Advanced CNN Design/03 Drop Out.mkv382.8KB
101. 15 Improving Models and Advanced CNN Design/04 L1 and L2 Regularization.mkv549.45KB
102. 15 Improving Models and Advanced CNN Design/05 Data Augmentation.mkv529.19KB
103. 15 Improving Models and Advanced CNN Design/06 Early Stopping.mkv407.24KB
104. 15 Improving Models and Advanced CNN Design/07 Batch Normalization.mkv595.62KB
105. 15 Improving Models and Advanced CNN Design/08 When Do We Use Regularization.mkv279.98KB
106. 15 Improving Models and Advanced CNN Design/09 Training a Fashion Classifider (FNIST) with no Regularization Using Keras.mkv1.46MB
107. 15 Improving Models and Advanced CNN Design/10 Training a Fashion Classifider (FNIST) with Regularization Using Keras.mkv1.78MB
108. 15 Improving Models and Advanced CNN Design/11 Training a Fashion Classifider (FNIST) with no Regularization Using PyTorch.mkv1.19MB
109. 15 Improving Models and Advanced CNN Design/12 Training a Fashion Classifider (FNIST) with Regularization Using PyTorch.mkv1.89MB
110. 16 Visualizing What CNN's Learn/1 Visualizing CNN Filters or Feature Maps.mkv698.73KB
111. 16 Visualizing What CNN's Learn/2 Visualising Filter Activations.mkv861.66KB
112. 16 Visualizing What CNN's Learn/3 Keras Filter Visualization and Activations.mkv2.05MB
113. 16 Visualizing What CNN's Learn/4 Maximizing Filters.mkv530.15KB
114. 16 Visualizing What CNN's Learn/5 Class Maximization.mkv632.88KB
115. 16 Visualizing What CNN's Learn/6 Filter and Class Maximization.mkv3.26MB
116. 16 Visualizing What CNN's Learn/7 Grad-CAM Visualize What Influences Your Model.mkv384.26KB
117. 16 Visualizing What CNN's Learn/8 Grad-CAM Plus.mkv1.57MB
118. 17 Advamced Convolutional Neural Networks/01 History and Evolution of Convolutional Neural Networks.mkv395.26KB
119. 17 Advamced Convolutional Neural Networks/02 LeNet.mkv511.78KB
120. 17 Advamced Convolutional Neural Networks/03 AlexNet.mkv450.75KB
121. 17 Advamced Convolutional Neural Networks/04 VGG16 and VGG19.mkv622.47KB
122. 17 Advamced Convolutional Neural Networks/05 ResNets.mkv570.63KB
123. 17 Advamced Convolutional Neural Networks/06 Why ResNets Work So Well.mkv546.65KB
124. 17 Advamced Convolutional Neural Networks/07 MobileNetV1 and V2.mkv1.18MB
125. 17 Advamced Convolutional Neural Networks/08 InceptionV3.mkv762.16KB
126. 17 Advamced Convolutional Neural Networks/09 SqueezeNet.mkv595.13KB
127. 17 Advamced Convolutional Neural Networks/10 EfficientNet.mkv664.76KB
128. 17 Advamced Convolutional Neural Networks/11 DenseNet.mkv855.52KB
129. 17 Advamced Convolutional Neural Networks/12 The ImageNet Dataset.mkv738.53KB
130. 18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/1 Implementing LeNet and AlexNet in Keras.mkv2.54MB
131. 18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/2 Loading Pre-Trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).mkv3.05MB
132. 18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/3 Loading Pre-Trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).mkv2.24MB
133. 18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/4 The Top-N or Rank-N Accuracy Metric.mkv350.83KB
134. 18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/5 Getting the Rank-N Accuracy in PyTorch.mkv1.62MB
135. 18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/6 Getting the Rank-N Accuracy in Keras.mkv1.1MB
136. 19 Using Callbacks in Keras and PyTorch/1 What Are Callbacks.mkv542.04KB
137. 19 Using Callbacks in Keras and PyTorch/2 Cats vs Dogs Classifier Using Callbacks in PyTorch.mkv2.15MB
138. 19 Using Callbacks in Keras and PyTorch/3 Cats vs Dogs Classifier Using Callbacks in Keras.mkv2.07MB
139. 20 PyTorch Lightning/1 Introduction to PyTorch Lightning.mkv966.4KB
140. 20 PyTorch Lightning/2 Lightning Setup and Class.mkv1.09MB
141. 20 PyTorch Lightning/3 Auto Batch and Learning Rate Selection Plus Tensorboards.mkv1.97MB
142. 20 PyTorch Lightning/4 PyTorch Lightning Calls, Saving, Inference.mkv1.22MB
143. 20 PyTorch Lightning/5 Training on Multiple GPU, Profiling and Tpus.mkv1.19MB
144. 21 Transfer Learning and Fine Tuning/1 Transfer Learning Introduction.mkv944.44KB
145. 21 Transfer Learning and Fine Tuning/2 Transfer Learning in PyTorch Lightning.mkv1.05MB
146. 21 Transfer Learning and Fine Tuning/3 Transfer Learning and Fine Tuning with Keras.mkv1.73MB
147. 21 Transfer Learning and Fine Tuning/4 Keras Feature Extraction.mkv2.41MB
148. 21 Transfer Learning and Fine Tuning/5 PyTorch Fine Tuning.mkv2.07MB
149. 21 Transfer Learning and Fine Tuning/6 PyTorch Transfer Learning and Freezing Network Layers.mkv542.96KB
150. 21 Transfer Learning and Fine Tuning/7 PyTorch Feature Extraction.mkv1.98MB
151. 22 Google DeepStream and Neural Style Transfer/1 Introduction to Google DeepDream Visualizations.mkv719.24KB
152. 22 Google DeepStream and Neural Style Transfer/2 Google DeepDream in Keras.mkv1.26MB
153. 22 Google DeepStream and Neural Style Transfer/3 Google DeepDream in PyTorch.mkv1.04MB
154. 22 Google DeepStream and Neural Style Transfer/4 Introduction to Neural Style Transfer.mkv1.21MB
155. 22 Google DeepStream and Neural Style Transfer/5 Neural Style Transfer in Keras.mkv2.53MB
156. 22 Google DeepStream and Neural Style Transfer/6 Neural Style Transfer in PyTorch.mkv1.15MB
157. 23 Autoencoders/1 Introduction to Autoencoders.mkv796.83KB
158. 23 Autoencoders/2 Autoencoders in Keras.mkv1.51MB
159. 23 Autoencoders/3 Autoencoders in PyTorch.mkv1.31MB
160. 24 Generative Adversarial Networks (GANs)/1 Introduction to GANs.mkv695.08KB
161. 24 Generative Adversarial Networks (GANs)/2 How Do GANs Work.mkv643.75KB
162. 24 Generative Adversarial Networks (GANs)/3 Training GANs.mkv988.5KB
163. 24 Generative Adversarial Networks (GANs)/4 Use Cases for GANs.mkv1.52MB
164. 24 Generative Adversarial Networks (GANs)/5 Keras DCGAN with MNIST.mkv2.14MB
165. 24 Generative Adversarial Networks (GANs)/6 PyTorch GANs.mkv1.26MB
166. 24 Generative Adversarial Networks (GANs)/7 Super Resolution GAN.mkv1.66MB
167. 24 Generative Adversarial Networks (GANs)/8 AnimeGAN.mkv671.42KB
168. 24 Generative Adversarial Networks (GANs)/9 ArcaneGAN.mkv711.87KB
169. 25 Siamese Network/1 Introduction to Siamese Networks.mkv771.81KB
170. 25 Siamese Network/2 Training Siamese Networks.mkv439.56KB
171. 25 Siamese Network/3 Siamese Networks in Keras.mkv1.47MB
172. 25 Siamese Network/4 Siamese Networks in PyTorch.mkv1.31MB
173. 26 Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/1 Face Recognition Overview.mkv896.07KB
174. 26 Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/2 Facial Similarity Keras VGGFace.mkv1001.6KB
175. 26 Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/3 Face Recognition Keras One Shot Learning and Friends.mkv1.34MB
176. 26 Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/4 Face Recognition PyTorch FaceNet.mkv1019.52KB
177. 26 Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/5 DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.mkv2.57MB
178. 27 Object Detection/1 Object Detection.mkv1.14MB
179. 27 Object Detection/2 History of Object Detectors.mkv1.04MB
180. 27 Object Detection/3 Intersection Over Union.mkv362.69KB
181. 27 Object Detection/4 Mean Average Precision.mkv913.43KB
182. 27 Object Detection/5 Non Maximum Suppression.mkv348.97KB
183. 27 Object Detection/6 R-CNNs, Fast R-CNNs and Faster R-CNNs.mkv1013.76KB
184. 27 Object Detection/7 Single Shot Detectors (SSDs).mkv840.28KB
185. 28 Modern Object Detectors - YOLO, EfficientDet, Detectron2/1 Introduction to YOLO.mkv743.52KB
186. 28 Modern Object Detectors - YOLO, EfficientDet, Detectron2/2 How YOLO Works.mkv716.84KB
187. 28 Modern Object Detectors - YOLO, EfficientDet, Detectron2/3 Training YOLO.mkv611.77KB
188. 28 Modern Object Detectors - YOLO, EfficientDet, Detectron2/4 YOLO Evolution.mkv717.9KB
189. 28 Modern Object Detectors - YOLO, EfficientDet, Detectron2/5 EfficientDet.mkv784.58KB
190. 28 Modern Object Detectors - YOLO, EfficientDet, Detectron2/6 Detectron2.mkv972.35KB
191. 29 Gun Detector - Scaled-YOLOv4/1 Gun Detector - Scaled-YOLOv4.mkv2.25MB
192. 30 Mask Detector TFODAPI MobileNetV2_SSD/1 Mask Detector TFODAPI MobileNetV2_SSD.mkv1.53MB
193. 31 Sign Language Detector TFODAPI EfficentDet/1 Sign Language Detector TFODAPI EfficentDet.mkv1.77MB
194. 32 Pothole Detector - TinyYOLOv4/1 Pothole Detector - TinyYOLOv4.mkv1.22MB
195. 33 Mushroom Detector Detectron2/1 Mushroom Detector Detectron2.mkv1.47MB
196. 34 Website Region Detector YOLOv4 Darknet/1 Website Region Detector YOLOv4 Darknet.mkv984.57KB
197. 35 Drone Maritime Detector R-CNN/1 Drone Maritime Detector R-CNN.mkv1.3MB
198. 36 Chess Piece YOLOv3/1 Chess Piece YOLOv3.mkv838.44KB
199. 37 Bloodcell Detector YOLOv5/1 Bloodcell Detector YOLOv5.mkv1.09MB
200. 38 Hard Hat Detector EfficentDet/1 Hard Hat Detector EfficentDet.mkv649.33KB
201. 39 Bloodcell Detector YOLOv5/1 Bloodcell Detector YOLOv5.mkv1.1MB
202. 40 Plant Doctor Detector YOLOv5/1 Plant Doctor Detector YOLOv5.mkv1.21MB
203. 41 Deep Segmentation - U-Net, SegNet, DeepLabV3 and Mask R-CNN/1 Introduction to Deep Segmentation.mkv1.59MB
204. 41 Deep Segmentation - U-Net, SegNet, DeepLabV3 and Mask R-CNN/2 Image Segmentation Keras UNET SegNet.mkv1.4MB
205. 41 Deep Segmentation - U-Net, SegNet, DeepLabV3 and Mask R-CNN/3 PyTorch DeepLabV3.mkv1.11MB
206. 41 Deep Segmentation - U-Net, SegNet, DeepLabV3 and Mask R-CNN/4 Mask-RCNN TensorFlow Matterport.mkv1.12MB
207. 41 Deep Segmentation - U-Net, SegNet, DeepLabV3 and Mask R-CNN/5 Detectron2 Mask R-CNN.mkv1.2MB
208. 41 Deep Segmentation - U-Net, SegNet, DeepLabV3 and Mask R-CNN/6 Train Mask R-CNN Shapes Dataset.mkv1MB
209. 42 Body Pose Estimation/1 Body Pose Estimation.mkv642.46KB
210. 43 Tracking with DeepSORT/1 DeepSORT Introduction.mkv1.13MB
211. 43 Tracking with DeepSORT/2 DeepSORT with YOLOv5.mkv1.73MB
212. 44 Deep Fakes/1 Creating a Deep Fake.mkv1.08MB
213. 45 Vision Transformers - ViTs/1 Introduction to Vision Transformers.mkv668.38KB
214. 45 Vision Transformers - ViTs/2 Vision Transformer in Detail with PyTorch.mkv1.43MB
215. 45 Vision Transformers - ViTs/3 Vision Transformers in Keras.mkv907.69KB
216. 46 BiT BigTransfer Classifier Keras/1 BiT BigTransfer Classifier Keras.mkv1.03MB
217. 47 Depth Estimation/1 Depth Estimation Project.mkv1.24MB
218. 48 Image Similarity Using Metric Learning/1 Image Similarity Using Metric Learning.mkv1006.24KB
219. 49 Image Captioning with Keras/1 Image Captioning with Keras.mkv1.54MB
220. 50 Video Classification Usign CNN+RNN/1 Video Classification Usign CNN+RNN.mkv1MB
221. 51 Video Classification with Transformers/1 Video Classification with Transformers.mkv865.97KB
222. 52 Point Cloud Classification PointNet/1 Point Cloud Classification PointNet.mkv1.11MB
223. 53 Point Cloud Segmentation Using PointNet/1 Point Cloud Segmentation Using PointNet.mkv1.66MB
224. 54 Medical Project - X-Ray Pneumonia Prediction/1 X-Ray Pneumonia Prediction.mkv1.12MB
225. 55 Medical Project - 3D CT Scan Classification/1 3D CT Scan Classification.mkv1.12MB
226. 56 Low Light Image Enhancement MIRNet/1 Low Light Image Enhancement MIRNet.mkv1.64MB
227. 57 Deploy Your CV App Using Flask RestFUL API and Web App/1 Flask RestFUL API.mkv1.37MB
228. 57 Deploy Your CV App Using Flask RestFUL API and Web App/2 Flask Web App.mkv921.46KB
229. 58 OCR Captcha Cracker/1 OCR Captcha Cracker.mkv907.21KB