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Email: it@huph.edu.vn
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Learning AI
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AI
Computer Vision
Modern Computer Vision GPT, PyTorch, Keras, OpenCV4 in 2024
0 students
Last updated
Dec 2024
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Overview
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Course content
Sections:
1
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Activities:
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Resources:
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Section 1
Introduction
001 Course Introduction TM1o gitir
002 Course Overview y8Ll gitir
003 What Makes Computer Vision Hard HfHT gitir
004 What are Images SzOj gitir
006 Setup Download Code and Configure Colab IGoC gitir
007 Getting Started with OpenCV4 ytXT gitir
008 Grayscaling Images h7Sk gitir
009 Colour Spaces RGB and HSV PkmQ gitir
010 Drawing on Images emqk gitir
011 Transformations Translations and Rotations ampK gitir
012 Scaling Re sizing Interpolations and Cropping jpiq gitir
013 Arithmetic and Bitwise Operations 9vlK gitir
014 Convolutions Blurring and Sharpening Images EUPF gitir
015 Thresholding Binarization Adaptive Thresholding LK2P gitir
016 Dilation Erosion and Edge Detection gm1p gitir
017 Contours Drawing Hierarchy and Modes TIgk gitir
018 Moments Sorting Approximating and Matching Contours 0sHv gitir
019 Line Circle and Blob Detection y3Pw gitir
020 Counting Circles Ellipses and Finding Waldo with Template Matching ACDv gitir
021 Finding Corners Ly7B gitir
022 Face and Eye Detection with Haar Cascade Classifiers 3ZKg gitir
023 Vehicle and Pedestrian Detection WG1f gitir
024 Perspective Transforms lqUI gitir
025 Histograms and K Means Clustering for Dominant Colors qOcG gitir
026 Comparing Images MSE and Structual Similarity 3E73 gitir
027 Filtering on Colour 3siT gitir
028 Watershed Algorithm Marker Dased Image Segmentation ta2V gitir
029 Background and Foreground Subtraction i29y gitir
030 Motion Tracking with Mean Shift and CAMSHIFT xiy7 gitir
031 Object Tracking with Optical Flow 4bJT gitir
032 Simple Object Tracking by Color mdHK gitir
033 Facial Landmark Detection with Dlib 8Pq6 gitir
034 Face Swapping with Dlib K0Fk gitir
035 Tilt Shift Effects UPny gitir
036 GrabCut Algorithm for Background Removal JRVW gitir
037 OCR with PyTesseract and EasyOCR Text Detection dBHN gitir
038 Barcode QR Generation and Reading TRie gitir
039 YOLOv3 in OpenCV 8Lco gitir
040 Neural Style Transfer with OpenCV IRQg gitir
041 SSDs in OpenCV JGXD gitir
042 Colorize Black and White Photos using a Caffe Model in OpenCV PxNI gitir
043 Inpainting to Restore Damaged Photos F9VO gitir
044 Add and Remove Noise and Fix Contrast with Histogram Equalization Vubi gitir
045 Detect Blur in Images X33Q gitir
046 Facial Recognition 4m8K gitir
047 Using Your Webcam and Creating a Live Sketch of Yourself z7cf gitir
048 Opening Video Files in OpenCV zF7k gitir
049 Saving or Recording Videos in OpenCV HalS gitir
050 Video Streams and CCTV RTSP and IP kVDW gitir
051 Auto Reconnect to Video Streams S3Xc gitir
052 Capturing Video using Screenshots d8Dj gitir
053 Importing YouTube Videos into OpenCV 4G0t gitir
064 Introduction to Convolution Neural Networks xI4G gitir
065 Convolutions a1gd gitir
066 Feature Detectors CjxN gitir
067 3D Convolutions and Color Images PUbh gitir
068 Kernel Size and Depth ckDp gitir
069 Padding r0PZ gitir
070 Stride Jcsm gitir
071 Activation Functions V1bM gitir
072 Pooling nEGL gitir
073 Fully Connected Layers RPaZ gitir
074 Softmax PoTH gitir
075 Putting Together Your Convolutional Neural Network 1yCZ gitir
076 Parameter Counts in CNNs uTUK gitir
077 Why CNNs Work So Well On Images 4k3T gitir
078 Training a CNN dX6K gitir
079 Loss Functions BOAe gitir
080 Backpropagation 6jtY gitir
081 Gradient Descent QX4I gitir
082 Optimisers and Learning Rate Schedules 7Z8Z gitir
083 Deep Learning CNN Recap KrzT gitir
084 Deep Learning History QnIV gitir
085 Deep Learning Libraries Overview hJxx gitir
086 Importing Required Libraries aITl gitir
087 Transformation Pipeline C7kj gitir
088 Inspect and Visualise Data Qfug gitir
089 Data Loaders Drk6 gitir
090 Building our Model wuD3 gitir
091 Optimisers and Loss Function 5ZQV gitir
092 Training Your Model WQU2 gitir
093 Saving Model and Displaying Results jSIl gitir
094 Plot and Visualize Your Results YATg gitir
095 Loading Data HyrH gitir
096 View and Inspect Data udDj gitir
097 Preprocessing Our Data horQ gitir
098 Constructing the CNN Cc4e gitir
099 Training the Model Touw gitir
100 Plotting the Training Results 9mIv gitir
101 Saving and Loading and Visualising Results 5Gl2 gitir
102 Deep Learning Libraries PyTorch vs Keras Review 3iUI gitir
103 Assessing Model Performance CnxD gitir
104 Confusion Matrix and Classification Report KmYV gitir
105 Keras Viewing Misclassifications 9mYg gitir
106 Keras Confusion Matrix and Classification Report 63d5 gitir
107 PyTorch Viewing Misclassifications JELF gitir
108 PyTorch Confusion Matrix and Misclassifications UnvD gitir
109 What is Overfitting and Generalisation 0QfO gitir
110 Introduction to Regularization vbFI gitir
111 Drop Out jhAR gitir
112 L1 and L2 Regularization AD5w gitir
113 Data Augmentation Ysox gitir
114 Early Stopping B8IH gitir
115 Batch Normalization 24d5 gitir
116 When Do We Use Regularization 2DkN gitir
117 Training a Fashion Classifider FNIST with no Regularization using Keras eVKk gitir
118 Training a Fashion Classifider FNIST with Regularization using Keras nT9h gitir
119 Training a Fashion Classifider FNIST with no Regularization using PyTorch IfNu gitir
120 Training a Fashion Classifider FNIST with Regularization using PyTorch 3YEr gitir
121 Visualizing CNN Filters or Feature Maps e1dv gitir
122 Visualising Filter Activations hEeS gitir
123 Keras Filter Visualization and Activations 6pHu gitir
124 Maximizing Filters Y30y gitir
125 Class Maximization 4NeP gitir
126 Filter and Class Maximization wclv gitir
127 Grad CAM Visualize What Influences Your Model 5mlV gitir
128 Grad CAM Plus zrj5 gitir
129 History and Evolution of Convolutional Neural Networks 4ucU gitir
130 LeNet x7B2 gitir
131 AlexNet aBIc gitir
132 VGG16 and VGG19 Bsz7 gitir
133 ResNets joD0 gitir
134 Why ResNets Work So Well oDDa gitir
135 MobileNetV1 and V2 vmY1 gitir
136 InceptionV3 2U76 gitir
137 SqueezeNet qZeh gitir
138 EfficientNet 2syu gitir
139 DenseNet f6Hx gitir
140 The ImageNet Dataset YD83 gitir
141 Implementing LeNet and AlexNet in Keras i2wr gitir
142 Loading Pre trained Networks in PyTorch ResNets DenseNets MobileNET VGG19 ZeCY gitir
143 Loading Pre trained Networks in Keras ResNets DenseNets MobileNET VGG19 W9E6 gitir
144 The Top N or Rank N Accuracy Metric dGUO gitir
145 Getting the Rank N Accuracy in PyTorch 3y9d gitir
146 Getting the Rank N Accuracy in Keras 9ch5 gitir
147 What are Callbacks aETZ gitir
148 Cats vs Dogs Classifier using Callbacks in PyTorch BxsX gitir
149 Cats vs Dogs Classifier using Callbacks in Keras AEY8 gitir
150 Introduction to PyTorch Lightning tvfs gitir
151 Lightning Setup and Class 6RA2 gitir
152 Auto Batch and Learning Rate Selection plus Tensorboards uA0x gitir
153 PyTorch Lightning Calls Saving Inference MZMc gitir
154 Training on Multiple GPU Profiling and TPUs zbmm gitir
155 Transfer Learning Introduction rqDr gitir
156 Transfer Learning in PyTorch Lightning nZOn gitir
157 Transfer Learning and Fine Tuning with Keras NHtY gitir
158 Keras Feature Extraction 8eMV gitir
159 PyTorch Fine Tuning c8xo gitir
160 PyTorch Transfer Learning and Freezing Network Layers XnAm gitir
161 PyTorch Feature Extraction S1SS gitir
162 Introduction to Google DeepDream Visualizations vzqX gitir
163 Google DeepDream in Keras LuR4 gitir
164 Google DeepDream in PyTorch 2pci gitir
165 Introduction to Neural Style Transfer bJTH gitir
166 Neural Style Transfer in Keras 2Whg gitir
167 Neural Style Transfer in PyTorch vAF6 gitir
168 Introduction to Autoencoders HZdM gitir
169 Autoencoders in Keras 8ILA gitir
170 Autoencoders in PyTorch wJeo gitir
171 Introduction to GANs RhCh gitir
172 How Do GANs Work 4DKr gitir
173 Training GANs jxfG gitir
174 Use Cases for GANs rkDs gitir
175 Keras DCGAN with MNIST Qnzr gitir
176 PyTorch GANs aHdt gitir
177 Super Resolution GAN 97F0 gitir
178 AnimeGAN BwkH gitir
179 ArcaneGAN JlaX gitir
181 Introduction to Siamese Networks wbkL gitir
182 Training Siamese Networks sSP7 gitir
183 Siamese Networks in Keras BXCy gitir
184 Siamese Networks in PyTorch 3cs8 gitir
185 Face Recognition Overview ozdr gitir
186 Facial Similarity Keras VGGFace LZXv gitir
187 Face Recognition Keras One Shot Learning and Friends fUeu gitir
188 Face Recognition PyTorch FaceNet Up2W gitir
189 DeepFace Age Gender Emotion Ethnicity and Face Recognition Rore gitir
190 Object Detection eQUt gitir
191 History of Object Detectors Euwc gitir
192 Intersection Over Union BBEj gitir
193 Mean Average Precision orne gitir
194 Non Maximum Suppression HAjB gitir
195 R CNNs Fast R CNNs and Faster R CNNs uelV gitir
196 Single Shot Detectors SSDs PRGn gitir
197 Introduction to YOLO w9zM gitir
199 How YOLO Works EYLU gitir
200 Training YOLO oUbj gitir
201 YOLO Evolution lXCh gitir
202 EfficientDet B68l gitir
203 Detectron2 Hqoo gitir
204 Gun Detector Scaled YoloV4 qC2K gitir
205 Mask Detector TFODAPI MobileNetV2 SSD XIPZ gitir
206 Sign Language Detector TFODAPI EfficentDet YQYY gitir
207 Pothole Detector TinyYOLOv4 wRr0 gitir
208 Mushroom Detector Detectron2 bi34 gitir
209 Website Region Detector YOLOv4 Darknet DhO8 gitir
210 Drone Maritime Detector R CNN pyzP gitir
211 Chess Piece YOLOv3 jCKh gitir
212 Bloodcell Detector YOLOv5 bGlx gitir
213 Hard Hat Detector EfficentDet sfed gitir
214 Bloodcell Detector YOLOv5 nY2s gitir
215 Plant Doctor Detector YOLOv5 C4I8 gitir
216 Introduction to Deep Segmentation kPT2 gitir
217 Image Segmentation Keras UNET SegNet A77V gitir
218 PyTorch DeepLabV3 FFY5 gitir
219 Mask RCNN Tensorflow Matterport ZPb7 gitir
220 Detectron2 Mask R CNN uDad gitir
221 Train Mask R CNN Shapes Dataset ymzd gitir
224 Body Pose Estimation cQLi gitir
225 DeepSORT Introduction koTY gitir
226 DeepSORT with YOLOv5 9ZeC gitir
227 Creating a Deep Fake nSV8 gitir
228 Introduction to Vision Transformers Tv2E gitir
229 Vision Transformer in Detail with PyTorch Opfr gitir
230 Vision Transformers in Keras CJ8s gitir
231 BiT BigTransfer Classifier Keras 9JNc gitir
232 Depth Estimation Project iSJE gitir
233 Image Similarity using Metric Learning rHmm gitir
234 Image Captioning with Keras H1jO gitir
235 Video Classification usign CNN RNN g9DP gitir
236 Video Classification with Transformers a8Lg gitir
237 Point Cloud Classification PointNet fFnN gitir
238 Point Cloud Segmentation Using PointNet vVQc gitir
244 X Ray Pneumonia Prediction XCiP gitir
245 3D CT Scan Classification qsHB gitir
246 Low Light Image Enhancement MIRNet MHkR gitir
247 Flask RestFUL API Q5HL gitir
248 Flask Web App p051 gitir
249 OCR Captcha Cracker Z0vB gitir
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Modern Computer Vision GPT, PyTorch, Keras, OpenCV4 in 2024
Course modified date:
13 Dec 2024
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