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种子名称： Modern Computer Vision PyTorch, Tensorflow2 Keras and OpenCV4__2022-02udemy
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文件数目： 229个文件
文件大小： 253.47 MB
收录时间： 2023-8-7 13:59
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Modern Computer Vision PyTorch, Tensorflow2 Keras and OpenCV4__2022-02udemy.torrent

01 Introduction/1 Course Introduction.mkv1.6MB

01 Introduction/2 Course Overview.mkv1.46MB

01 Introduction/3 What Makes Computer Vision Hard.mkv792.35KB

01 Introduction/4 What Are Images.mkv874.07KB

02 Download Code and Setup Colab/2 Setup - Download Code and Configure Colab.mkv412.15KB

03 OpenCV - Image Operations/01 Getting Started with OpenCV4.mkv2.1MB

03 OpenCV - Image Operations/02 Grayscaling Images.mkv945.32KB

03 OpenCV - Image Operations/03 Colour Spaces - RGB and HSV.mkv1.14MB

03 OpenCV - Image Operations/04 Drawing on Images.mkv1.19MB

03 OpenCV - Image Operations/05 Transformations - Translations and Rotations.mkv1.33MB

03 OpenCV - Image Operations/06 Scaling, Re-sizing, Interpolations and Cropping.mkv2.02MB

03 OpenCV - Image Operations/07 Arithmetic and Bitwise Operations.mkv1.46MB

03 OpenCV - Image Operations/08 Convolutions, Blurring and Sharpening Images.mkv1.09MB

03 OpenCV - Image Operations/09 Thresholding, Binarization and Adaptive Thresholding.mkv2.06MB

03 OpenCV - Image Operations/10 Dilation, Erosion and Edge Detection.mkv1.44MB

04 OpenCV - Image Segmentation/1 Contours - Drawing, Hierarchy and Modes.mkv2.29MB

04 OpenCV - Image Segmentation/2 Moments, Sorting, Approximating and Matching Contours.mkv2.54MB

04 OpenCV - Image Segmentation/3 Line, Circle and Blob Detection.mkv968.81KB

04 OpenCV - Image Segmentation/4 Counting Circles, Ellipses and Finding Waldo with Template Matching.mkv1.03MB

04 OpenCV - Image Segmentation/5 Finding Corners.mkv687.44KB

05 OpenCV - Haar Cascade Classifiers/1 Face and Eye Detection with Haar Cascade Classifiers.mkv1.72MB

05 OpenCV - Haar Cascade Classifiers/2 Vehicle and Pedestrian Detection.mkv1.51MB

06 OpenCV - Image Analysis and Transformation/1 Perspective Transforms.mkv1.19MB

06 OpenCV - Image Analysis and Transformation/2 Histograms and K-Means Clustering for Dominant Colors.mkv1.44MB

06 OpenCV - Image Analysis and Transformation/3 Comparing Images MSE and Structual Similarity.mkv792.63KB

06 OpenCV - Image Analysis and Transformation/4 Filtering on Colour.mkv832.36KB

06 OpenCV - Image Analysis and Transformation/5 Watershed Algorithm Marker-Dased Image Segmentation.mkv870.28KB

06 OpenCV - Image Analysis and Transformation/6 Background and Foreground Subtraction.mkv1.37MB

07 OpenCV - Motion and Object Tracking/1 Motion Tracking with Mean Shift and CAMSHIFT.mkv1.2MB

07 OpenCV - Motion and Object Tracking/2 Object Tracking with Optical Flow.mkv1.61MB

07 OpenCV - Motion and Object Tracking/3 Simple Object Tracking by Color.mkv956.48KB

08 OpenCV - Facial Landmark Detection and Face Swaps/1 Facial Landmark Detection with Dlib.mkv696.52KB

08 OpenCV - Facial Landmark Detection and Face Swaps/2 Face Swapping with Dlib.mkv1.53MB

09 OpenCV Projects/01 Tilt Shift Effects.mkv1.07MB

09 OpenCV Projects/02 GrabCut Algorithm for Background Removal.mkv937.75KB

09 OpenCV Projects/03 OCR with PyTesseract and EasyOCR (Text Detection).mkv2.29MB

09 OpenCV Projects/04 Barcode, QR Generation and Reading.mkv1.35MB

09 OpenCV Projects/05 YOLOv3 in OpenCV.mkv1.41MB

09 OpenCV Projects/06 Neural Style Transfer with OpenCV.mkv2.79MB

09 OpenCV Projects/07 SSDs in OpenCV.mkv967.69KB

09 OpenCV Projects/08 Colorize Black and White Photos Using a Caffe Model in OpenCV.mkv1.24MB

09 OpenCV Projects/09 Inpainting to Restore Damaged Photos.mkv526.6KB

09 OpenCV Projects/10 Add and Remove Noise and Fix Contrast with Histogram Equalization.mkv1.47MB

09 OpenCV Projects/11 Detect Blur in Images.mkv736.77KB

09 OpenCV Projects/12 Facial Recognition.mkv1.39MB

10 OpenCV - Working with Video/1 Using Your Webcam and Creating a Live Sketch of Yourself.mkv1.52MB

10 OpenCV - Working with Video/2 Opening Video Files in OpenCV.mkv883.62KB

10 OpenCV - Working with Video/3 Saving or Recording Videos in OpenCV.mkv694.23KB

10 OpenCV - Working with Video/4 Video Streams and CCTV - RTSP and IP.mkv826.58KB

10 OpenCV - Working with Video/5 Auto Reconnect to Video Streams.mkv679.78KB

10 OpenCV - Working with Video/6 Capturing Video Using Screenshots.mkv1016.66KB

10 OpenCV - Working with Video/7 Importing YouTube Videos into OpenCV.mkv1.42MB

11 Deep Learning in Computer Vision Introduction/01 Introduction to Convolution Neural Networks.mkv593.83KB

11 Deep Learning in Computer Vision Introduction/02 Convolutions.mkv1.03MB

11 Deep Learning in Computer Vision Introduction/03 Feature Detectors.mkv825.04KB

11 Deep Learning in Computer Vision Introduction/04 3D Convolutions and Color Images.mkv562.35KB

11 Deep Learning in Computer Vision Introduction/05 Kernel Size and Depth.mkv523.91KB

11 Deep Learning in Computer Vision Introduction/06 Padding.mkv463.06KB

11 Deep Learning in Computer Vision Introduction/07 Stride.mkv633KB

11 Deep Learning in Computer Vision Introduction/08 Activation Functions.mkv610.66KB

11 Deep Learning in Computer Vision Introduction/09 Pooling.mkv791.48KB

11 Deep Learning in Computer Vision Introduction/10 Fully Connected Layers.mkv366.33KB

11 Deep Learning in Computer Vision Introduction/11 Softmax.mkv332.11KB

11 Deep Learning in Computer Vision Introduction/12 Putting Together Your Convolutional Neural Network.mkv870.77KB

11 Deep Learning in Computer Vision Introduction/13 Parameter Counts in CNNs.mkv628.13KB

11 Deep Learning in Computer Vision Introduction/14 Why CNNs Work So Well on Images.mkv532.49KB

11 Deep Learning in Computer Vision Introduction/15 Training a CNN.mkv737.37KB

11 Deep Learning in Computer Vision Introduction/16 Loss Functions.mkv773.71KB

11 Deep Learning in Computer Vision Introduction/17 Backpropagation.mkv832.81KB

11 Deep Learning in Computer Vision Introduction/18 Gradient Descent.mkv959.28KB

11 Deep Learning in Computer Vision Introduction/19 Optimisers and Learning Rate Schedules.mkv897.76KB

11 Deep Learning in Computer Vision Introduction/20 Deep Learning CNN Recap.mkv1.17MB

11 Deep Learning in Computer Vision Introduction/21 Deep Learning History.mkv1.48MB

11 Deep Learning in Computer Vision Introduction/22 Deep Learning Libraries Overview.mkv1.23MB

12 Building CNNs in PyTorch/1 Importing Required Libraries.mkv949.41KB

12 Building CNNs in PyTorch/2 Transformation Pipeline.mkv504.8KB

12 Building CNNs in PyTorch/3 Inspect and Visualise Data.mkv1.18MB

12 Building CNNs in PyTorch/4 Data Loaders.mkv613.05KB

12 Building CNNs in PyTorch/5 Building Our Model.mkv1.57MB

12 Building CNNs in PyTorch/6 Optimisers and Loss Function.mkv297.32KB

12 Building CNNs in PyTorch/7 Training Your Model.mkv1.52MB

12 Building CNNs in PyTorch/8 Saving Model and Displaying Results.mkv1006.57KB

12 Building CNNs in PyTorch/9 Plot and Visualize Your Results.mkv550.38KB

13 Building CNNs in TensorFlow with Keras/1 Loading Data.mkv611.63KB

13 Building CNNs in TensorFlow with Keras/2 View and Inspect Data.mkv585.49KB

13 Building CNNs in TensorFlow with Keras/3 Preprocessing Our Data.mkv613.95KB

13 Building CNNs in TensorFlow with Keras/4 Constructing the CNN.mkv961.67KB

13 Building CNNs in TensorFlow with Keras/5 Training the Model.mkv789.63KB

13 Building CNNs in TensorFlow with Keras/6 Plotting the Training Results.mkv751.19KB

13 Building CNNs in TensorFlow with Keras/7 Saving and Loading and Visualising Results.mkv1.39MB

14 Assessing Model Performance/1 Deep Learning Libraries PyTorch vs Keras Review.mkv1.54MB

14 Assessing Model Performance/2 Assessing Model Performance.mkv699.66KB

14 Assessing Model Performance/3 Confusion Matrix and Classification Report.mkv1.53MB

14 Assessing Model Performance/4 Keras Viewing Misclassifications.mkv1.28MB

14 Assessing Model Performance/5 Keras - Confusion Matrix and Classification Report.mkv826.5KB

14 Assessing Model Performance/6 PyTorch Viewing Misclassifications.mkv957.08KB

14 Assessing Model Performance/7 PyTorch - Confusion Matrix and Misclassifications.mkv610.13KB

15 Improving Models and Advanced CNN Design/01 What is Overfitting and Generalisation.mkv1.03MB

15 Improving Models and Advanced CNN Design/02 Introduction to Regularization.mkv243.05KB

15 Improving Models and Advanced CNN Design/03 Drop Out.mkv382.8KB

15 Improving Models and Advanced CNN Design/04 L1 and L2 Regularization.mkv549.45KB

15 Improving Models and Advanced CNN Design/05 Data Augmentation.mkv529.19KB

15 Improving Models and Advanced CNN Design/06 Early Stopping.mkv407.24KB

15 Improving Models and Advanced CNN Design/07 Batch Normalization.mkv595.62KB

15 Improving Models and Advanced CNN Design/08 When Do We Use Regularization.mkv279.98KB

15 Improving Models and Advanced CNN Design/09 Training a Fashion Classifider (FNIST) with no Regularization Using Keras.mkv1.46MB

15 Improving Models and Advanced CNN Design/10 Training a Fashion Classifider (FNIST) with Regularization Using Keras.mkv1.78MB

15 Improving Models and Advanced CNN Design/11 Training a Fashion Classifider (FNIST) with no Regularization Using PyTorch.mkv1.19MB

15 Improving Models and Advanced CNN Design/12 Training a Fashion Classifider (FNIST) with Regularization Using PyTorch.mkv1.89MB

16 Visualizing What CNN's Learn/1 Visualizing CNN Filters or Feature Maps.mkv698.73KB

16 Visualizing What CNN's Learn/2 Visualising Filter Activations.mkv861.66KB

16 Visualizing What CNN's Learn/3 Keras Filter Visualization and Activations.mkv2.05MB

16 Visualizing What CNN's Learn/4 Maximizing Filters.mkv530.15KB

16 Visualizing What CNN's Learn/5 Class Maximization.mkv632.88KB

16 Visualizing What CNN's Learn/6 Filter and Class Maximization.mkv3.26MB

16 Visualizing What CNN's Learn/7 Grad-CAM Visualize What Influences Your Model.mkv384.26KB

16 Visualizing What CNN's Learn/8 Grad-CAM Plus.mkv1.57MB

17 Advamced Convolutional Neural Networks/01 History and Evolution of Convolutional Neural Networks.mkv395.26KB

17 Advamced Convolutional Neural Networks/02 LeNet.mkv511.78KB

17 Advamced Convolutional Neural Networks/03 AlexNet.mkv450.75KB

17 Advamced Convolutional Neural Networks/04 VGG16 and VGG19.mkv622.47KB

17 Advamced Convolutional Neural Networks/05 ResNets.mkv570.63KB

17 Advamced Convolutional Neural Networks/06 Why ResNets Work So Well.mkv546.65KB

17 Advamced Convolutional Neural Networks/07 MobileNetV1 and V2.mkv1.18MB

17 Advamced Convolutional Neural Networks/08 InceptionV3.mkv762.16KB

17 Advamced Convolutional Neural Networks/09 SqueezeNet.mkv595.13KB

17 Advamced Convolutional Neural Networks/10 EfficientNet.mkv664.76KB

17 Advamced Convolutional Neural Networks/11 DenseNet.mkv855.52KB

17 Advamced Convolutional Neural Networks/12 The ImageNet Dataset.mkv738.53KB

18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/1 Implementing LeNet and AlexNet in Keras.mkv2.54MB

18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/2 Loading Pre-Trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).mkv3.05MB

18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/3 Loading Pre-Trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).mkv2.24MB

18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/4 The Top-N or Rank-N Accuracy Metric.mkv350.83KB

18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/5 Getting the Rank-N Accuracy in PyTorch.mkv1.62MB

18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/6 Getting the Rank-N Accuracy in Keras.mkv1.1MB

19 Using Callbacks in Keras and PyTorch/1 What Are Callbacks.mkv542.04KB

19 Using Callbacks in Keras and PyTorch/2 Cats vs Dogs Classifier Using Callbacks in PyTorch.mkv2.15MB

19 Using Callbacks in Keras and PyTorch/3 Cats vs Dogs Classifier Using Callbacks in Keras.mkv2.07MB

20 PyTorch Lightning/1 Introduction to PyTorch Lightning.mkv966.4KB

20 PyTorch Lightning/2 Lightning Setup and Class.mkv1.09MB

20 PyTorch Lightning/3 Auto Batch and Learning Rate Selection Plus Tensorboards.mkv1.97MB

20 PyTorch Lightning/4 PyTorch Lightning Calls, Saving, Inference.mkv1.22MB

20 PyTorch Lightning/5 Training on Multiple GPU, Profiling and Tpus.mkv1.19MB

21 Transfer Learning and Fine Tuning/1 Transfer Learning Introduction.mkv944.44KB

21 Transfer Learning and Fine Tuning/2 Transfer Learning in PyTorch Lightning.mkv1.05MB

21 Transfer Learning and Fine Tuning/3 Transfer Learning and Fine Tuning with Keras.mkv1.73MB

21 Transfer Learning and Fine Tuning/4 Keras Feature Extraction.mkv2.41MB

21 Transfer Learning and Fine Tuning/5 PyTorch Fine Tuning.mkv2.07MB

21 Transfer Learning and Fine Tuning/6 PyTorch Transfer Learning and Freezing Network Layers.mkv542.96KB

21 Transfer Learning and Fine Tuning/7 PyTorch Feature Extraction.mkv1.98MB

22 Google DeepStream and Neural Style Transfer/1 Introduction to Google DeepDream Visualizations.mkv719.24KB

22 Google DeepStream and Neural Style Transfer/2 Google DeepDream in Keras.mkv1.26MB

22 Google DeepStream and Neural Style Transfer/3 Google DeepDream in PyTorch.mkv1.04MB

22 Google DeepStream and Neural Style Transfer/4 Introduction to Neural Style Transfer.mkv1.21MB

22 Google DeepStream and Neural Style Transfer/5 Neural Style Transfer in Keras.mkv2.53MB

22 Google DeepStream and Neural Style Transfer/6 Neural Style Transfer in PyTorch.mkv1.15MB

23 Autoencoders/1 Introduction to Autoencoders.mkv796.83KB

23 Autoencoders/2 Autoencoders in Keras.mkv1.51MB

23 Autoencoders/3 Autoencoders in PyTorch.mkv1.31MB

24 Generative Adversarial Networks (GANs)/1 Introduction to GANs.mkv695.08KB

24 Generative Adversarial Networks (GANs)/2 How Do GANs Work.mkv643.75KB

24 Generative Adversarial Networks (GANs)/3 Training GANs.mkv988.5KB

24 Generative Adversarial Networks (GANs)/4 Use Cases for GANs.mkv1.52MB

24 Generative Adversarial Networks (GANs)/5 Keras DCGAN with MNIST.mkv2.14MB

24 Generative Adversarial Networks (GANs)/6 PyTorch GANs.mkv1.26MB

24 Generative Adversarial Networks (GANs)/7 Super Resolution GAN.mkv1.66MB

24 Generative Adversarial Networks (GANs)/8 AnimeGAN.mkv671.42KB

24 Generative Adversarial Networks (GANs)/9 ArcaneGAN.mkv711.87KB

25 Siamese Network/1 Introduction to Siamese Networks.mkv771.81KB

25 Siamese Network/2 Training Siamese Networks.mkv439.56KB

25 Siamese Network/3 Siamese Networks in Keras.mkv1.47MB

25 Siamese Network/4 Siamese Networks in PyTorch.mkv1.31MB

26 Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/1 Face Recognition Overview.mkv896.07KB

26 Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/2 Facial Similarity Keras VGGFace.mkv1001.6KB

26 Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/3 Face Recognition Keras One Shot Learning and Friends.mkv1.34MB

26 Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/4 Face Recognition PyTorch FaceNet.mkv1019.52KB

26 Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/5 DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.mkv2.57MB

27 Object Detection/1 Object Detection.mkv1.14MB

27 Object Detection/2 History of Object Detectors.mkv1.04MB

27 Object Detection/3 Intersection Over Union.mkv362.69KB

27 Object Detection/4 Mean Average Precision.mkv913.43KB

27 Object Detection/5 Non Maximum Suppression.mkv348.97KB

27 Object Detection/6 R-CNNs, Fast R-CNNs and Faster R-CNNs.mkv1013.76KB

27 Object Detection/7 Single Shot Detectors (SSDs).mkv840.28KB

28 Modern Object Detectors - YOLO, EfficientDet, Detectron2/1 Introduction to YOLO.mkv743.52KB

28 Modern Object Detectors - YOLO, EfficientDet, Detectron2/2 How YOLO Works.mkv716.84KB

28 Modern Object Detectors - YOLO, EfficientDet, Detectron2/3 Training YOLO.mkv611.77KB

28 Modern Object Detectors - YOLO, EfficientDet, Detectron2/4 YOLO Evolution.mkv717.9KB

28 Modern Object Detectors - YOLO, EfficientDet, Detectron2/5 EfficientDet.mkv784.58KB

28 Modern Object Detectors - YOLO, EfficientDet, Detectron2/6 Detectron2.mkv972.35KB

29 Gun Detector - Scaled-YOLOv4/1 Gun Detector - Scaled-YOLOv4.mkv2.25MB

30 Mask Detector TFODAPI MobileNetV2_SSD/1 Mask Detector TFODAPI MobileNetV2_SSD.mkv1.53MB

31 Sign Language Detector TFODAPI EfficentDet/1 Sign Language Detector TFODAPI EfficentDet.mkv1.77MB

32 Pothole Detector - TinyYOLOv4/1 Pothole Detector - TinyYOLOv4.mkv1.22MB

33 Mushroom Detector Detectron2/1 Mushroom Detector Detectron2.mkv1.47MB

34 Website Region Detector YOLOv4 Darknet/1 Website Region Detector YOLOv4 Darknet.mkv984.57KB

35 Drone Maritime Detector R-CNN/1 Drone Maritime Detector R-CNN.mkv1.3MB

36 Chess Piece YOLOv3/1 Chess Piece YOLOv3.mkv838.44KB

37 Bloodcell Detector YOLOv5/1 Bloodcell Detector YOLOv5.mkv1.09MB

38 Hard Hat Detector EfficentDet/1 Hard Hat Detector EfficentDet.mkv649.33KB

39 Bloodcell Detector YOLOv5/1 Bloodcell Detector YOLOv5.mkv1.1MB

40 Plant Doctor Detector YOLOv5/1 Plant Doctor Detector YOLOv5.mkv1.21MB

41 Deep Segmentation - U-Net, SegNet, DeepLabV3 and Mask R-CNN/1 Introduction to Deep Segmentation.mkv1.59MB

41 Deep Segmentation - U-Net, SegNet, DeepLabV3 and Mask R-CNN/2 Image Segmentation Keras UNET SegNet.mkv1.4MB

41 Deep Segmentation - U-Net, SegNet, DeepLabV3 and Mask R-CNN/3 PyTorch DeepLabV3.mkv1.11MB

41 Deep Segmentation - U-Net, SegNet, DeepLabV3 and Mask R-CNN/4 Mask-RCNN TensorFlow Matterport.mkv1.12MB

41 Deep Segmentation - U-Net, SegNet, DeepLabV3 and Mask R-CNN/5 Detectron2 Mask R-CNN.mkv1.2MB

41 Deep Segmentation - U-Net, SegNet, DeepLabV3 and Mask R-CNN/6 Train Mask R-CNN Shapes Dataset.mkv1MB

42 Body Pose Estimation/1 Body Pose Estimation.mkv642.46KB

43 Tracking with DeepSORT/1 DeepSORT Introduction.mkv1.13MB

43 Tracking with DeepSORT/2 DeepSORT with YOLOv5.mkv1.73MB

44 Deep Fakes/1 Creating a Deep Fake.mkv1.08MB

45 Vision Transformers - ViTs/1 Introduction to Vision Transformers.mkv668.38KB

45 Vision Transformers - ViTs/2 Vision Transformer in Detail with PyTorch.mkv1.43MB

45 Vision Transformers - ViTs/3 Vision Transformers in Keras.mkv907.69KB

46 BiT BigTransfer Classifier Keras/1 BiT BigTransfer Classifier Keras.mkv1.03MB

47 Depth Estimation/1 Depth Estimation Project.mkv1.24MB

48 Image Similarity Using Metric Learning/1 Image Similarity Using Metric Learning.mkv1006.24KB

49 Image Captioning with Keras/1 Image Captioning with Keras.mkv1.54MB

50 Video Classification Usign CNN+RNN/1 Video Classification Usign CNN+RNN.mkv1MB

51 Video Classification with Transformers/1 Video Classification with Transformers.mkv865.97KB

52 Point Cloud Classification PointNet/1 Point Cloud Classification PointNet.mkv1.11MB

53 Point Cloud Segmentation Using PointNet/1 Point Cloud Segmentation Using PointNet.mkv1.66MB

54 Medical Project - X-Ray Pneumonia Prediction/1 X-Ray Pneumonia Prediction.mkv1.12MB

55 Medical Project - 3D CT Scan Classification/1 3D CT Scan Classification.mkv1.12MB

56 Low Light Image Enhancement MIRNet/1 Low Light Image Enhancement MIRNet.mkv1.64MB

57 Deploy Your CV App Using Flask RestFUL API and Web App/1 Flask RestFUL API.mkv1.37MB

57 Deploy Your CV App Using Flask RestFUL API and Web App/2 Flask Web App.mkv921.46KB

58 OCR Captcha Cracker/1 OCR Captcha Cracker.mkv907.21KB