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Udemy Modern Computer VisionTM PyTorch Tensorflow2 Keras OpenCV4 FCS

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Files:

[CourseClub.Me].url 122 bytes
[FreeCourseSite.com].url 127 bytes
[GigaCourse.Com].url 49 bytes
1. Course Introduction.mp4 82.9 MB
1. Course Introduction.srt 17.2 KB
2. Course Overview.mp4 63.8 MB
2. Course Overview.srt 16.2 KB
3. What Makes Computer Vision Hard.mp4 46.2 MB
3. What Makes Computer Vision Hard.srt 9.4 KB
4. What are Images.mp4 44.2 MB
4. What are Images.srt 10.7 KB
1. Using Your Webcam and Creating a Live Sketch of Yourself.mp4 66.5 MB
1. Using Your Webcam and Creating a Live Sketch of Yourself.srt 11.5 KB
2. Opening Video Files in OpenCV.mp4 34.0 MB
2. Opening Video Files in OpenCV.srt 6.7 KB
3. Saving or Recording Videos in OpenCV.mp4 35.8 MB
3. Saving or Recording Videos in OpenCV.srt 4.7 KB
4. Video Streams and CCTV - RTSP and IP.mp4 42.1 MB
4. Video Streams and CCTV - RTSP and IP.srt 6.5 KB
5. Auto Reconnect to Video Streams.mp4 36.2 MB
5. Auto Reconnect to Video Streams.srt 4.4 KB
6. Capturing Video using Screenshots.mp4 46.3 MB
6. Capturing Video using Screenshots.srt 7.2 KB
7. Importing YouTube Videos into OpenCV.mp4 64.9 MB
7. Importing YouTube Videos into OpenCV.srt 9.6 KB
1. Introduction to Convolution Neural Networks.mp4 15.9 MB
1. Introduction to Convolution Neural Networks.srt 7.8 KB
10. Fully Connected Layers.mp4 11.3 MB
10. Fully Connected Layers.srt 4.2 KB
11. Softmax.mp4 8.9 MB
11. Softmax.srt 3.9 KB
12. Putting Together Your Convolutional Neural Network.mp4 29.4 MB
12. Putting Together Your Convolutional Neural Network.srt 11.3 KB
13. Parameter Counts in CNNs.mp4 23.8 MB
13. Parameter Counts in CNNs.srt 8.2 KB
14. Why CNNs Work So Well On Images.mp4 20.5 MB
14. Why CNNs Work So Well On Images.srt 6.3 KB
15. Training a CNN.mp4 27.4 MB
15. Training a CNN.srt 9.6 KB
16. Loss Functions.mp4 24.9 MB
16. Loss Functions.srt 9.8 KB
17. Backpropagation.mp4 29.0 MB
17. Backpropagation.srt 8.8 KB
18. Gradient Descent.mp4 32.9 MB
18. Gradient Descent.srt 11.5 KB
19. Optimisers and Learning Rate Schedules.mp4 40.9 MB
19. Optimisers and Learning Rate Schedules.srt 10.1 KB
2. Convolutions.mp4 33.9 MB
2. Convolutions.srt 13.0 KB
20. Deep Learning CNN Recap.mp4 36.4 MB
20. Deep Learning CNN Recap.srt 14.3 KB
21. Deep Learning History.mp4 57.5 MB
21. Deep Learning History.srt 20.0 KB
22. Deep Learning Libraries Overview.mp4 59.0 MB
22. Deep Learning Libraries Overview.srt 15.9 KB
3. Feature Detectors.mp4 23.9 MB
3. Feature Detectors.srt 6.5 KB
4. 3D Convolutions and Color Images.mp4 16.6 MB
4. 3D Convolutions and Color Images.srt 6.7 KB
5. Kernel Size and Depth.mp4 13.7 MB
5. Kernel Size and Depth.srt 5.9 KB
6. Padding.mp4 14.2 MB
6. Padding.srt 5.6 KB
7. Stride.mp4 17.1 MB
7. Stride.srt 7.8 KB
8. Activation Functions.mp4 21.7 MB
8. Activation Functions.srt 7.7 KB
9. Pooling.mp4 23.4 MB
9. Pooling.srt 8.8 KB
1. Importing Required Libraries.mp4 47.7 MB
1. Importing Required Libraries.srt 10.4 KB
2. Transformation Pipeline.mp4 29.5 MB
2. Transformation Pipeline.srt 6.4 KB
3. Inspect and Visualise Data.mp4 70.6 MB
3. Inspect and Visualise Data.srt 12.6 KB
4. Data Loaders.mp4 29.9 MB
4. Data Loaders.srt 7.0 KB
5. Building our Model.mp4 102.3 MB
5. Building our Model.srt 18.4 KB
6. Optimisers and Loss Function.mp4 14.9 MB
6. Optimisers and Loss Function.srt 3.2 KB
7. Training Your Model.mp4 96.1 MB
7. Training Your Model.srt 17.8 KB
8. Saving Model and Displaying Results.mp4 49.3 MB
8. Saving Model and Displaying Results.srt 10.6 KB
9. Plot and Visualize Your Results.mp4 25.8 MB
9. Plot and Visualize Your Results.srt 7.4 KB
1. Loading Data.mp4 26.7 MB
1. Loading Data.srt 5.2 KB
2. View and Inspect Data.mp4 29.5 MB
2. View and Inspect Data.srt 6.5 KB
3. Preprocessing Our Data.mp4 33.5 MB
3. Preprocessing Our Data.srt 7.6 KB
4. Constructing the CNN.mp4 64.5 MB
4. Constructing the CNN.srt 9.9 KB
5. Training the Model.mp4 45.5 MB
5. Training the Model.srt 6.3 KB
6. Plotting the Training Results.mp4 36.4 MB
6. Plotting the Training Results.srt 6.2 KB
7. Saving and Loading and Visualising Results.mp4 75.6 MB
7. Saving and Loading and Visualising Results.srt 15.9 KB
1. Deep Learning Libraries PyTorch vs Keras Review.mp4 68.2 MB
1. Deep Learning Libraries PyTorch vs Keras Review.srt 19.1 KB
2. Assessing Model Performance.mp4 22.6 MB
2. Assessing Model Performance.srt 8.7 KB
3. Confusion Matrix and Classification Report.mp4 67.6 MB
3. Confusion Matrix and Classification Report.srt 20.4 KB
4. Keras Viewing Misclassifications.mp4 64.9 MB
4. Keras Viewing Misclassifications.srt 11.4 KB
5. Keras - Confusion Matrix and Classification Report.mp4 43.4 MB
5. Keras - Confusion Matrix and Classification Report.srt 8.9 KB
6. PyTorch Viewing Misclassifications.mp4 51.4 MB
6. PyTorch Viewing Misclassifications.srt 9.9 KB
7. PyTorch - Confusion Matrix and Misclassifications.mp4 29.3 MB
7. PyTorch - Confusion Matrix and Misclassifications.srt 6.6 KB
1. What is Overfitting and Generalisation.mp4 44.0 MB
1. What is Overfitting and Generalisation.srt 13.0 KB
10. Training a Fashion Classifider (FNIST) with Regularization using Keras.mp4 96.0 MB
10. Training a Fashion Classifider (FNIST) with Regularization using Keras.srt 17.3 KB
11. Training a Fashion Classifider (FNIST) with no Regularization using PyTorch.mp4 64.2 MB
11. Training a Fashion Classifider (FNIST) with no Regularization using PyTorch.srt 10.6 KB
12. Training a Fashion Classifider (FNIST) with Regularization using PyTorch.mp4 108.1 MB
12. Training a Fashion Classifider (FNIST) with Regularization using PyTorch.srt 18.0 KB
2. Introduction to Regularization.mp4 8.0 MB
2. Introduction to Regularization.srt 2.8 KB
3. Drop Out.mp4 13.1 MB
3. Drop Out.srt 4.8 KB
4. L1 and L2 Regularization.mp4 15.6 MB
4. L1 and L2 Regularization.srt 5.7 KB
5. Data Augmentation.mp4 31.9 MB
5. Data Augmentation.srt 6.5 KB
6. Early Stopping.mp4 13.0 MB
6. Early Stopping.srt 5.1 KB
7. Batch Normalization.mp4 23.8 MB
7. Batch Normalization.srt 6.7 KB
8. When Do We Use Regularization.mp4 11.6 MB
8. When Do We Use Regularization.srt 3.5 KB
9. Training a Fashion Classifider (FNIST) with no Regularization using Keras.mp4 82.7 MB
9. Training a Fashion Classifider (FNIST) with no Regularization using Keras.srt 14.3 KB
1. Visualizing CNN Filters or Feature Maps.mp4 20.5 MB
1. Visualizing CNN Filters or Feature Maps.srt 8.4 KB
2. Visualising Filter Activations.mp4 35.5 MB
2. Visualising Filter Activations.srt 11.6 KB
3. Keras Filter Visualization and Activations.mp4 107.2 MB
3. Keras Filter Visualization and Activations.srt 22.0 KB
4. Maximizing Filters.mp4 23.1 MB
4. Maximizing Filters.srt 6.6 KB
5. Class Maximization.mp4 30.1 MB
5. Class Maximization.srt 7.6 KB
6. Filter and Class Maximization.mp4 156.1 MB
6. Filter and Class Maximization.srt 24.8 KB
7. Grad-CAM Visualize What Influences Your Model.mp4 14.9 MB
7. Grad-CAM Visualize What Influences Your Model.srt 4.5 KB
8. Grad-CAM Plus.mp4 80.4 MB
8. Grad-CAM Plus.srt 13.1 KB
1. History and Evolution of Convolutional Neural Networks.mp4 9.1 MB
1. History and Evolution of Convolutional Neural Networks.srt 5.6 KB
10. EfficientNet.mp4 25.0 MB
10. EfficientNet.srt 7.9 KB
11. DenseNet.mp4 32.0 MB
11. DenseNet.srt 10.4 KB
12. The ImageNet Dataset.mp4 29.5 MB
12. The ImageNet Dataset.srt 7.7 KB
2. LeNet.mp4 18.7 MB
2. LeNet.srt 4.5 KB
3. AlexNet.mp4 17.5 MB
3. AlexNet.srt 5.9 KB
4. VGG16 and VGG19.mp4 23.1 MB
4. VGG16 and VGG19.srt 7.0 KB
5. ResNets.mp4 17.8 MB
5. ResNets.srt 7.0 KB
6. Why ResNets Work So Well.mp4 23.3 MB
6. Why ResNets Work So Well.srt 6.6 KB
7. MobileNetV1 and V2.mp4 43.8 MB
7. MobileNetV1 and V2.srt 14.7 KB
8. InceptionV3.mp4 23.4 MB
8. InceptionV3.srt 8.8 KB
9. SqueezeNet.mp4 23.2 MB
9. SqueezeNet.srt 6.8 KB
1. Implementing LeNet and AlexNet in Keras.mp4 139.3 MB
1. Implementing LeNet and AlexNet in Keras.srt 23.2 KB
2. Loading Pre-trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).mp4 153.8 MB
2. Loading Pre-trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).srt 28.9 KB
3. Loading Pre-trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).mp4 111.4 MB
3. Loading Pre-trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).srt 19.5 KB
4. The Top-N or Rank-N Accuracy Metric.mp4 12.4 MB
4. The Top-N or Rank-N Accuracy Metric.srt 4.6 KB
5. Getting the Rank-N Accuracy in PyTorch.mp4 97.9 MB
5. Getting the Rank-N Accuracy in PyTorch.srt 16.4 KB
6. Getting the Rank-N Accuracy in Keras.mp4 55.8 MB
6. Getting the Rank-N Accuracy in Keras.srt 9.8 KB
1. What are Callbacks.mp4 16.2 MB
1. What are Callbacks.srt 7.0 KB
2. Cats vs Dogs Classifier using Callbacks in PyTorch.mp4 115.0 MB
2. Cats vs Dogs Classifier using Callbacks in PyTorch.srt 22.8 KB
3. Cats vs Dogs Classifier using Callbacks in Keras.mp4 114.7 MB
3. Cats vs Dogs Classifier using Callbacks in Keras.srt 22.3 KB
1. Download Course Resources.html 804 bytes
1.1 Code - Modern Computer Vision_05_06_2022.zip 151.0 MB
1.2 ebook slides - Modern Computer Vision.pdf 121.6 MB
2. Setup - Download Code and Configure Colab.mp4 22.6 MB
2. Setup - Download Code and Configure Colab.srt 4.2 KB
1. Introduction to PyTorch Lightning.mp4 38.2 MB
1. Introduction to PyTorch Lightning.srt 12.1 KB
2. Lightning Setup and Class.mp4 62.1 MB
2. Lightning Setup and Class.srt 9.5 KB
3. Auto Batch and Learning Rate Selection plus Tensorboards.mp4 106.6 MB
3. Auto Batch and Learning Rate Selection plus Tensorboards.srt 17.1 KB
4. PyTorch Lightning Calls, Saving, Inference.mp4 71.6 MB
4. PyTorch Lightning Calls, Saving, Inference.srt 13.0 KB
5. Training on Multiple GPU, Profiling and TPUs.mp4 64.1 MB
5. Training on Multiple GPU, Profiling and TPUs.srt 9.9 KB
1. Transfer Learning Introduction.mp4 31.9 MB
1. Transfer Learning Introduction.srt 12.7 KB
2. Transfer Learning in PyTorch Lightning.mp4 55.9 MB
2. Transfer Learning in PyTorch Lightning.srt 9.7 KB
3. Transfer Learning and Fine Tuning with Keras.mp4 96.0 MB
3. Transfer Learning and Fine Tuning with Keras.srt 17.2 KB
4. Keras Feature Extraction.mp4 131.8 MB
4. Keras Feature Extraction.srt 19.5 KB
5. PyTorch Fine Tuning.mp4 121.6 MB
5. PyTorch Fine Tuning.srt 21.7 KB
6. PyTorch Transfer Learning and Freezing Network Layers.mp4 28.8 MB
6. PyTorch Transfer Learning and Freezing Network Layers.srt 5.2 KB
7. PyTorch Feature Extraction.mp4 103.4 MB
7. PyTorch Feature Extraction.srt 15.9 KB
1. Introduction to Google DeepDream Visualizations.mp4 39.9 MB
1. Introduction to Google DeepDream Visualizations.srt 7.3 KB
2. Google DeepDream in Keras.mp4 72.9 MB
2. Google DeepDream in Keras.srt 10.5 KB
3. Google DeepDream in PyTorch.mp4 58.3 MB
3. Google DeepDream in PyTorch.srt 6.3 KB
4. Introduction to Neural Style Transfer.mp4 50.0 MB
4. Introduction to Neural Style Transfer.srt 14.5 KB
5. Neural Style Transfer in Keras.mp4 141.1 MB
5. Neural Style Transfer in Keras.srt 22.3 KB
6. Neural Style Transfer in PyTorch.mp4 57.9 MB
6. Neural Style Transfer in PyTorch.srt 7.6 KB
[CourseClub.Me].url 122 bytes
[FreeCourseSite.com].url 127 bytes
[GigaCourse.Com].url 49 bytes
1. Introduction to Autoencoders.mp4 25.4 MB
1. Introduction to Autoencoders.srt 10.5 KB
2. Autoencoders in Keras.mp4 80.5 MB
2. Autoencoders in Keras.srt 13.7 KB
3. Autoencoders in PyTorch.mp4 66.0 MB
3. Autoencoders in PyTorch.srt 11.2 KB
1. Introduction to GANs.mp4 43.6 MB
1. Introduction to GANs.srt 6.5 KB
1.1 Slides - Generative Adverserial Networks.pdf 28.9 MB
2. How Do GANs Work.mp4 26.5 MB
2. How Do GANs Work.srt 7.3 KB
3. Training GANs.mp4 49.3 MB
3. Training GANs.srt 11.0 KB
4. Use Cases for GANs.mp4 108.1 MB
4. Use Cases for GANs.srt 13.4 KB
5. Keras DCGAN with MNIST.mp4 100.9 MB
5. Keras DCGAN with MNIST.srt 16.4 KB
6. PyTorch GANs.mp4 65.4 MB
6. PyTorch GANs.srt 11.4 KB
7. Super Resolution GAN.mp4 102.2 MB
7. Super Resolution GAN.srt 13.6 KB
8. AnimeGAN.mp4 34.8 MB
8. AnimeGAN.srt 5.4 KB
9. ArcaneGAN.mp4 31.5 MB
9. ArcaneGAN.srt 3.7 KB
1. Introduction to Siamese Networks.mp4 28.8 MB
1. Introduction to Siamese Networks.srt 8.7 KB
2. Training Siamese Networks.mp4 13.3 MB
2. Training Siamese Networks.srt 4.8 KB
3. Siamese Networks in Keras.mp4 73.0 MB
3. Siamese Networks in Keras.srt 12.8 KB
4. Siamese Networks in PyTorch.mp4 67.9 MB
4. Siamese Networks in PyTorch.srt 9.8 KB
1. Face Recognition Overview.mp4 32.0 MB
1. Face Recognition Overview.srt 10.5 KB
2. Facial Similarity Keras VGGFace.mp4 56.6 MB
2. Facial Similarity Keras VGGFace.srt 9.2 KB
3. Face Recognition Keras One Shot Learning and Friends.mp4 80.6 MB
3. Face Recognition Keras One Shot Learning and Friends.srt 11.1 KB
4. Face Recognition PyTorch FaceNet.mp4 51.3 MB
4. Face Recognition PyTorch FaceNet.srt 7.9 KB
5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.mp4 132.4 MB
5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.srt 20.0 KB
1. Object Detection.mp4 65.2 MB
1. Object Detection.srt 13.1 KB
2. History of Object Detectors.mp4 52.9 MB
2. History of Object Detectors.srt 12.1 KB
3. Intersection Over Union.mp4 17.4 MB
3. Intersection Over Union.srt 4.3 KB
4. Mean Average Precision.mp4 45.7 MB
4. Mean Average Precision.srt 11.7 KB
5. Non Maximum Suppression.mp4 19.5 MB
5. Non Maximum Suppression.srt 4.4 KB
6. R-CNNs, Fast R-CNNs and Faster R-CNNs.mp4 41.2 MB
6. R-CNNs, Fast R-CNNs and Faster R-CNNs.srt 11.2 KB
7. Single Shot Detectors (SSDs).mp4 30.9 MB
7. Single Shot Detectors (SSDs).srt 9.9 KB
1. Introduction to YOLO.mp4 33.5 MB
1. Introduction to YOLO.srt 8.5 KB
2. How YOLO Works.mp4 29.3 MB
2. How YOLO Works.srt 6.4 KB
3. Training YOLO.mp4 25.0 MB
3. Training YOLO.srt 6.5 KB
4. YOLO Evolution.mp4 24.2 MB
4. YOLO Evolution.srt 7.9 KB
5. EfficientDet.mp4 30.7 MB
5. EfficientDet.srt 8.2 KB
6. Detectron2.mp4 40.6 MB
6. Detectron2.srt 9.8 KB
1. Gun Detector - Scaled-YoloV4.mp4 128.5 MB
1. Gun Detector - Scaled-YoloV4.srt 17.7 KB
1. Getting Started with OpenCV4.mp4 94.7 MB
1. Getting Started with OpenCV4.srt 23.0 KB
10. Dilation, Erosion and Edge Detection.mp4 80.0 MB
10. Dilation, Erosion and Edge Detection.srt 14.4 KB
2. Grayscaling Images.mp4 52.5 MB
2. Grayscaling Images.srt 9.4 KB
3. Colour Spaces - RGB and HSV.mp4 68.3 MB
3. Colour Spaces - RGB and HSV.srt 12.2 KB
4. Drawing on Images.mp4 52.0 MB
4. Drawing on Images.srt 14.4 KB
5. Transformations - Translations and Rotations.mp4 67.2 MB
5. Transformations - Translations and Rotations.srt 14.0 KB
6. Scaling, Re-sizing, Interpolations and Cropping.mp4 114.9 MB
6. Scaling, Re-sizing, Interpolations and Cropping.srt 19.0 KB
7. Arithmetic and Bitwise Operations.mp4 66.1 MB
7. Arithmetic and Bitwise Operations.srt 14.5 KB
8. Convolutions, Blurring and Sharpening Images.mp4 59.0 MB
8. Convolutions, Blurring and Sharpening Images.srt 9.0 KB
9. Thresholding, Binarization & Adaptive Thresholding.mp4 117.2 MB
9. Thresholding, Binarization & Adaptive Thresholding.srt 18.7 KB
1. Mask Detector TFODAPI MobileNetV2_SSD.mp4 81.2 MB
1. Mask Detector TFODAPI MobileNetV2_SSD.srt 11.1 KB
1. Sign Language Detector TFODAPI EfficentDet.mp4 85.2 MB
1. Sign Language Detector TFODAPI EfficentDet.srt 10.6 KB
1. Pothole Detector - TinyYOLOv4.mp4 59.5 MB
1. Pothole Detector - TinyYOLOv4.srt 7.7 KB
1. Mushroom Detector Detectron2.mp4 65.0 MB
1. Mushroom Detector Detectron2.srt 7.3 KB
1. Website Region Detector YOLOv4 Darknet.mp4 49.6 MB
1. Website Region Detector YOLOv4 Darknet.srt 6.7 KB
1. Drone Maritime Detector R-CNN.mp4 56.9 MB
1. Drone Maritime Detector R-CNN.srt 7.6 KB
1. Chess Piece YOLOv3.mp4 42.7 MB
1. Chess Piece YOLOv3.srt 7.0 KB
1. Bloodcell Detector YOLOv5.mp4 58.5 MB
1. Bloodcell Detector YOLOv5.srt 6.6 KB
1. Hard Hat Detector EfficentDet.mp4 30.6 MB
1. Hard Hat Detector EfficentDet.srt 5.3 KB
1. Plant Doctor Detector YOLOv5.mp4 71.1 MB
1. Plant Doctor Detector YOLOv5.srt 9.3 KB
1. Contours - Drawing, Hierarchy and Modes.mp4 117.1 MB
1. Contours - Drawing, Hierarchy and Modes.srt 20.4 KB
2. Moments, Sorting, Approximating and Matching Contours.mp4 139.8 MB
2. Moments, Sorting, Approximating and Matching Contours.srt 24.8 KB
3. Line, Circle and Blob Detection.mp4 56.6 MB
3. Line, Circle and Blob Detection.srt 8.9 KB
4. Counting Circles, Ellipses and Finding Waldo with Template Matching.mp4 68.5 MB
4. Counting Circles, Ellipses and Finding Waldo with Template Matching.srt 9.3 KB
5. Finding Corners.mp4 36.5 MB
5. Finding Corners.srt 6.5 KB
1. Introduction to Deep Segmentation.mp4 78.2 MB
1. Introduction to Deep Segmentation.srt 16.7 KB
2. Image Segmentation Keras UNET SegNet.mp4 73.1 MB
2. Image Segmentation Keras UNET SegNet.srt 11.3 KB
3. PyTorch DeepLabV3.mp4 60.1 MB
3. PyTorch DeepLabV3.srt 8.0 KB
4. Mask-RCNN Tensorflow Matterport.mp4 61.7 MB
4. Mask-RCNN Tensorflow Matterport.srt 6.5 KB
5. Detectron2 Mask R-CNN.mp4 70.9 MB
5. Detectron2 Mask R-CNN.srt 7.3 KB
6. Train Mask R-CNN Shapes Dataset.mp4 55.0 MB
6. Train Mask R-CNN Shapes Dataset.srt 6.8 KB
1. Body Pose Estimation.mp4 46.2 MB
1. Body Pose Estimation.srt 4.5 KB
1. DeepSORT Introduction.mp4 59.6 MB
1. DeepSORT Introduction.srt 12.4 KB
2. DeepSORT with YOLOv5.mp4 58.3 MB
2. DeepSORT with YOLOv5.srt 5.6 KB
1. Creating a Deep Fake.mp4 58.7 MB
1. Creating a Deep Fake.srt 7.5 KB
1. Introduction to Vision Transformers.mp4 26.7 MB
1. Introduction to Vision Transformers.srt 7.5 KB
2. Vision Transformer in Detail with PyTorch.mp4 76.2 MB
2. Vision Transformer in Detail with PyTorch.srt 12.1 KB
3. Vision Transformers in Keras.mp4 48.0 MB
3. Vision Transformers in Keras.srt 7.5 KB
1. BiT BigTransfer Classifier Keras.mp4 58.6 MB
1. BiT BigTransfer Classifier Keras.srt 9.2 KB
1. Depth Estimation Project.mp4 76.8 MB
1. Depth Estimation Project.srt 10.7 KB
1. Image Similarity using Metric Learning.mp4 56.0 MB
1. Image Similarity using Metric Learning.srt 7.9 KB
1. Image Captioning with Keras.mp4 96.1 MB
1. Image Captioning with Keras.srt 14.1 KB
1. Video Classification usign CNN+RNN.mp4 56.8 MB
1. Video Classification usign CNN+RNN.srt 7.8 KB
1. Face and Eye Detection with Haar Cascade Classifiers.mp4 110.2 MB
1. Face and Eye Detection with Haar Cascade Classifiers.srt 17.8 KB
2. Vehicle and Pedestrian Detection.mp4 86.1 MB
2. Vehicle and Pedestrian Detection.srt 14.7 KB
1. Video Classification with Transformers.mp4 49.2 MB
1. Video Classification with Transformers.srt 6.5 KB
1. Point Cloud Classification PointNet.mp4 59.5 MB
1. Point Cloud Classification PointNet.srt 8.3 KB
1. Point Cloud Segmentation Using PointNet.mp4 92.1 MB
1. Point Cloud Segmentation Using PointNet.srt 13.2 KB
1. X-Ray Pneumonia Prediction.mp4 61.4 MB
1. X-Ray Pneumonia Prediction.srt 8.2 KB
1. 3D CT Scan Classification.mp4 60.3 MB
1. 3D CT Scan Classification.srt 7.9 KB
1. Low Light Image Enhancement MIRNet.mp4 91.5 MB
1. Low Light Image Enhancement MIRNet.srt 10.6 KB
1. Flask RestFUL API.mp4 54.9 MB
1. Flask RestFUL API.srt 10.0 KB
2. Flask Web App.mp4 37.3 MB
2. Flask Web App.srt 6.1 KB
1. OCR Captcha Cracker.mp4 46.4 MB
1. OCR Captcha Cracker.srt 7.7 KB
[CourseClub.Me].url 122 bytes
[FreeCourseSite.com].url 127 bytes
[GigaCourse.Com].url 49 bytes
1. Perspective Transforms.mp4 64.4 MB
1. Perspective Transforms.srt 12.7 KB
2. Histograms and K-Means Clustering for Dominant Colors.mp4 79.9 MB
2. Histograms and K-Means Clustering for Dominant Colors.srt 15.7 KB
3. Comparing Images MSE and Structual Similarity.mp4 42.1 MB
3. Comparing Images MSE and Structual Similarity.srt 8.4 KB
4. Filtering on Colour.mp4 40.9 MB
4. Filtering on Colour.srt 8.4 KB
5. Watershed Algorithm Marker-Dased Image Segmentation.mp4 43.3 MB
5. Watershed Algorithm Marker-Dased Image Segmentation.srt 8.2 KB
6. Background and Foreground Subtraction.mp4 66.1 MB
6. Background and Foreground Subtraction.srt 11.2 KB
1. Motion Tracking with Mean Shift and CAMSHIFT.mp4 71.1 MB
1. Motion Tracking with Mean Shift and CAMSHIFT.srt 10.6 KB
2. Object Tracking with Optical Flow.mp4 95.2 MB
2. Object Tracking with Optical Flow.srt 15.5 KB
3. Simple Object Tracking by Color.mp4 48.6 MB
3. Simple Object Tracking by Color.srt 7.6 KB
1. Facial Landmark Detection with Dlib.mp4 37.5 MB
1. Facial Landmark Detection with Dlib.srt 8.2 KB
2. Face Swapping with Dlib.mp4 49.4 MB
2. Face Swapping with Dlib.srt 8.1 KB
1. Tilt Shift Effects.mp4 59.0 MB
1. Tilt Shift Effects.srt 8.7 KB
10. Add and Remove Noise and Fix Contrast with Histogram Equalization.mp4 89.0 MB
10. Add and Remove Noise and Fix Contrast with Histogram Equalization.srt 13.8 KB
11. Detect Blur in Images.mp4 39.6 MB
11. Detect Blur in Images.srt 7.5 KB
12. Facial Recognition.mp4 84.3 MB
12. Facial Recognition.srt 14.5 KB
2. GrabCut Algorithm for Background Removal.mp4 45.6 MB
2. GrabCut Algorithm for Background Removal.srt 9.2 KB
3. OCR with PyTesseract and EasyOCR (Text Detection).mp4 119.5 MB
3. OCR with PyTesseract and EasyOCR (Text Detection).srt 18.9 KB
4. Barcode, QR Generation and Reading.mp4 68.7 MB
4. Barcode, QR Generation and Reading.srt 13.1 KB
5. YOLOv3 in OpenCV.mp4 79.5 MB
5. YOLOv3 in OpenCV.srt 12.5 KB
6. Neural Style Transfer with OpenCV.mp4 143.0 MB
6. Neural Style Transfer with OpenCV.srt 16.8 KB
7. SSDs in OpenCV.mp4 51.8 MB
7. SSDs in OpenCV.srt 6.6 KB
8. Colorize Black and White Photos using a Caffe Model in OpenCV.mp4 81.0 MB
8. Colorize Black and White Photos using a Caffe Model in OpenCV.srt 11.5 KB
9. Inpainting to Restore Damaged Photos.mp4 28.5 MB
9. Inpainting to Restore Damaged Photos.srt 5.7 KB

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