Torrent details for "Udemy Modern Computer VisionTM PyTorch Tensorflow2 Keras OpenCV4…" Log in to bookmark
Controls:
×
Report Torrent
Please select a reason for reporting this torrent:
Your report will be reviewed by our moderation team.
×
Report Information
Loading report information...
This torrent has been reported 0 times.
Report Summary:
| User | Reason | Date |
|---|
Failed to load report information.
×
Success
Your report has been submitted successfully.
Checked by:
Category:
Language:
English
Total Size:
12.7 GB
Info Hash:
908167937E50D0B36F50E084AD0A1DDA4712E8F2
Added By:
Added:
Oct. 22, 2023, 11 a.m.
Stats:
|
(Last updated: May 20, 2025, 10:59 a.m.)
| File | Size |
|---|---|
| [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 |
Name
DL
Uploader
Size
S/L
Added
-
712.0 MB
[0
/
6]
2025-03-06
| Uploaded by freecoursewb | Size 712.0 MB | Health [ 0 /6 ] | Added 2025-03-06 |
-
1.1 GB
[30
/
3]
2025-01-13
| Uploaded by FreeCourseWeb | Size 1.1 GB | Health [ 30 /3 ] | Added 2025-01-13 |
NOTE
SOURCE: Udemy Modern Computer VisionTM PyTorch Tensorflow2 Keras OpenCV4 FCS
-----------------------------------------------------------------------------------
COVER
-----------------------------------------------------------------------------------
MEDIAINFO
None
×