FreeCourseSite com Udemy Modern Computer Vision PyTorch Tensorflow2 Keras OpenCV4

FreeCourseSite com Udemy Modern Computer Vision PyTorch Tensorflow2 Keras OpenCV4

Name	[FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4	DOWNLOAD Copy Link
Total Size	13.7 GB
Total Files	469
Last Seen	2025-02-19 23:49
Hash	908167937E50D0B36F50E084AD0A1DDA4712E8F2

/0. Websites you may like/
[CourseClub.Me].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/1. Introduction/
1. Course Introduction.mp4	87.0 MB
1. Course Introduction.srt	17.6 KB
2. Course Overview.mp4	66.9 MB
2. Course Overview.srt	16.6 KB
3. What Makes Computer Vision Hard.mp4	48.4 MB
3. What Makes Computer Vision Hard.srt	9.6 KB
4. What are Images.mp4	46.4 MB
4. What are Images.srt	11.0 KB
/10. OpenCV - Working With Video/
1. Using Your Webcam and Creating a Live Sketch of Yourself.mp4	69.8 MB
1. Using Your Webcam and Creating a Live Sketch of Yourself.srt	11.8 KB
2. Opening Video Files in OpenCV.mp4	35.6 MB
2. Opening Video Files in OpenCV.srt	6.9 KB
3. Saving or Recording Videos in OpenCV.mp4	37.5 MB
3. Saving or Recording Videos in OpenCV.srt	4.9 KB
4. Video Streams and CCTV - RTSP and IP.mp4	44.1 MB
4. Video Streams and CCTV - RTSP and IP.srt	6.6 KB
5. Auto Reconnect to Video Streams.mp4	38.0 MB
5. Auto Reconnect to Video Streams.srt	4.5 KB
6. Capturing Video using Screenshots.mp4	48.6 MB
6. Capturing Video using Screenshots.srt	7.3 KB
7. Importing YouTube Videos into OpenCV.mp4	68.0 MB
7. Importing YouTube Videos into OpenCV.srt	9.8 KB
/11. Deep Learning in Computer Vision Introduction/
1. Introduction to Convolution Neural Networks.mp4	16.6 MB
1. Introduction to Convolution Neural Networks.srt	7.9 KB
10. Fully Connected Layers.mp4	11.9 MB
10. Fully Connected Layers.srt	4.3 KB
11. Softmax.mp4	9.3 MB
11. Softmax.srt	4.0 KB
12. Putting Together Your Convolutional Neural Network.mp4	30.8 MB
12. Putting Together Your Convolutional Neural Network.srt	11.5 KB
13. Parameter Counts in CNNs.mp4	25.0 MB
13. Parameter Counts in CNNs.srt	8.4 KB
14. Why CNNs Work So Well On Images.mp4	21.5 MB
14. Why CNNs Work So Well On Images.srt	6.5 KB
15. Training a CNN.mp4	28.7 MB
15. Training a CNN.srt	9.8 KB
16. Loss Functions.mp4	26.1 MB
16. Loss Functions.srt	10.1 KB
17. Backpropagation.mp4	30.4 MB
17. Backpropagation.srt	9.0 KB
18. Gradient Descent.mp4	34.5 MB
18. Gradient Descent.srt	11.8 KB
19. Optimisers and Learning Rate Schedules.mp4	42.9 MB
19. Optimisers and Learning Rate Schedules.srt	10.3 KB
2. Convolutions.mp4	35.5 MB
2. Convolutions.srt	13.3 KB
20. Deep Learning CNN Recap.mp4	38.2 MB
20. Deep Learning CNN Recap.srt	14.6 KB
21. Deep Learning History.mp4	60.3 MB
21. Deep Learning History.srt	20.5 KB
22. Deep Learning Libraries Overview.mp4	61.9 MB
22. Deep Learning Libraries Overview.srt	16.3 KB
3. Feature Detectors.mp4	25.0 MB
3. Feature Detectors.srt	6.6 KB
4. 3D Convolutions and Color Images.mp4	17.4 MB
4. 3D Convolutions and Color Images.srt	6.8 KB
5. Kernel Size and Depth.mp4	14.3 MB
5. Kernel Size and Depth.srt	6.1 KB
6. Padding.mp4	14.9 MB
6. Padding.srt	5.7 KB
7. Stride.mp4	18.0 MB
7. Stride.srt	8.0 KB
8. Activation Functions.mp4	22.8 MB
8. Activation Functions.srt	7.9 KB
9. Pooling.mp4	24.6 MB
9. Pooling.srt	9.1 KB
/12. Building CNNs in PyTorch/
1. Importing Required Libraries.mp4	50.0 MB
1. Importing Required Libraries.srt	10.7 KB
2. Transformation Pipeline.mp4	31.0 MB
2. Transformation Pipeline.srt	6.5 KB
3. Inspect and Visualise Data.mp4	74.0 MB
3. Inspect and Visualise Data.srt	12.9 KB
4. Data Loaders.mp4	31.4 MB
4. Data Loaders.srt	7.2 KB
5. Building our Model.mp4	107.3 MB
5. Building our Model.srt	18.8 KB
6. Optimisers and Loss Function.mp4	15.6 MB
6. Optimisers and Loss Function.srt	3.3 KB
7. Training Your Model.mp4	100.7 MB
7. Training Your Model.srt	18.2 KB
8. Saving Model and Displaying Results.mp4	51.7 MB
8. Saving Model and Displaying Results.srt	10.9 KB
9. Plot and Visualize Your Results.mp4	27.1 MB
9. Plot and Visualize Your Results.srt	7.6 KB
/13. Building CNNs in TensorFlow with Keras/
1. Loading Data.mp4	28.0 MB
1. Loading Data.srt	5.3 KB
2. View and Inspect Data.mp4	30.9 MB
2. View and Inspect Data.srt	6.6 KB
3. Preprocessing Our Data.mp4	35.2 MB
3. Preprocessing Our Data.srt	7.8 KB
4. Constructing the CNN.mp4	67.6 MB
4. Constructing the CNN.srt	10.1 KB
5. Training the Model.mp4	47.7 MB
5. Training the Model.srt	6.5 KB
6. Plotting the Training Results.mp4	38.2 MB
6. Plotting the Training Results.srt	6.3 KB
7. Saving and Loading and Visualising Results.mp4	79.2 MB
7. Saving and Loading and Visualising Results.srt	16.3 KB
/14. Assessing Model Performance/
1. Deep Learning Libraries PyTorch vs Keras Review.mp4	71.5 MB
1. Deep Learning Libraries PyTorch vs Keras Review.srt	19.5 KB
2. Assessing Model Performance.mp4	23.7 MB
2. Assessing Model Performance.srt	8.9 KB
3. Confusion Matrix and Classification Report.mp4	70.9 MB
3. Confusion Matrix and Classification Report.srt	20.9 KB
4. Keras Viewing Misclassifications.mp4	68.1 MB
4. Keras Viewing Misclassifications.srt	11.7 KB
5. Keras - Confusion Matrix and Classification Report.mp4	45.5 MB
5. Keras - Confusion Matrix and Classification Report.srt	9.1 KB
6. PyTorch Viewing Misclassifications.mp4	53.9 MB
6. PyTorch Viewing Misclassifications.srt	10.1 KB
7. PyTorch - Confusion Matrix and Misclassifications.mp4	30.7 MB
7. PyTorch - Confusion Matrix and Misclassifications.srt	6.7 KB
/15. Improving Models and Advanced CNN Design/
1. What is Overfitting and Generalisation.mp4	46.2 MB
1. What is Overfitting and Generalisation.srt	13.3 KB
10. Training a Fashion Classifider (FNIST) with Regularization using Keras.mp4	100.7 MB
10. Training a Fashion Classifider (FNIST) with Regularization using Keras.srt	17.7 KB
11. Training a Fashion Classifider (FNIST) with no Regularization using PyTorch.mp4	67.3 MB
11. Training a Fashion Classifider (FNIST) with no Regularization using PyTorch.srt	10.8 KB
12. Training a Fashion Classifider (FNIST) with Regularization using PyTorch.mp4	113.3 MB
12. Training a Fashion Classifider (FNIST) with Regularization using PyTorch.srt	18.4 KB
2. Introduction to Regularization.mp4	8.4 MB
2. Introduction to Regularization.srt	2.9 KB
3. Drop Out.mp4	13.7 MB
3. Drop Out.srt	4.9 KB
4. L1 and L2 Regularization.mp4	16.4 MB
4. L1 and L2 Regularization.srt	5.9 KB
5. Data Augmentation.mp4	33.4 MB
5. Data Augmentation.srt	6.7 KB
6. Early Stopping.mp4	13.6 MB
6. Early Stopping.srt	5.2 KB
7. Batch Normalization.mp4	25.0 MB
7. Batch Normalization.srt	6.9 KB
8. When Do We Use Regularization.mp4	12.1 MB
8. When Do We Use Regularization.srt	3.6 KB
9. Training a Fashion Classifider (FNIST) with no Regularization using Keras.mp4	86.7 MB
9. Training a Fashion Classifider (FNIST) with no Regularization using Keras.srt	14.6 KB
/16. Visualizing What CNN's Learn/
1. Visualizing CNN Filters or Feature Maps.mp4	21.5 MB
1. Visualizing CNN Filters or Feature Maps.srt	8.6 KB
2. Visualising Filter Activations.mp4	37.3 MB
2. Visualising Filter Activations.srt	11.8 KB
3. Keras Filter Visualization and Activations.mp4	112.4 MB
3. Keras Filter Visualization and Activations.srt	22.6 KB
4. Maximizing Filters.mp4	24.2 MB
4. Maximizing Filters.srt	6.8 KB
5. Class Maximization.mp4	31.6 MB
5. Class Maximization.srt	7.8 KB
6. Filter and Class Maximization.mp4	163.6 MB
6. Filter and Class Maximization.srt	25.4 KB
7. Grad-CAM Visualize What Influences Your Model.mp4	15.6 MB
7. Grad-CAM Visualize What Influences Your Model.srt	4.6 KB
8. Grad-CAM Plus.mp4	84.3 MB
8. Grad-CAM Plus.srt	13.4 KB
/17. Advamced Convolutional Neural Networks/
1. History and Evolution of Convolutional Neural Networks.mp4	9.6 MB
1. History and Evolution of Convolutional Neural Networks.srt	5.7 KB
10. EfficientNet.mp4	26.2 MB
10. EfficientNet.srt	8.1 KB
11. DenseNet.mp4	33.6 MB
11. DenseNet.srt	10.7 KB
12. The ImageNet Dataset.mp4	31.0 MB
12. The ImageNet Dataset.srt	7.9 KB
2. LeNet.mp4	19.6 MB
2. LeNet.srt	4.6 KB
3. AlexNet.mp4	18.4 MB
3. AlexNet.srt	6.1 KB
4. VGG16 and VGG19.mp4	24.2 MB
4. VGG16 and VGG19.srt	7.2 KB
5. ResNets.mp4	18.7 MB
5. ResNets.srt	7.2 KB
6. Why ResNets Work So Well.mp4	24.4 MB
6. Why ResNets Work So Well.srt	6.8 KB
7. MobileNetV1 and V2.mp4	46.0 MB
7. MobileNetV1 and V2.srt	15.1 KB
8. InceptionV3.mp4	24.6 MB
8. InceptionV3.srt	9.0 KB
9. SqueezeNet.mp4	24.3 MB
9. SqueezeNet.srt	7.0 KB
/18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/
1. Implementing LeNet and AlexNet in Keras.mp4	146.1 MB
1. Implementing LeNet and AlexNet in Keras.srt	23.8 KB
2. Loading Pre-trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).mp4	161.2 MB
2. Loading Pre-trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).srt	29.6 KB
3. Loading Pre-trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).mp4	116.8 MB
3. Loading Pre-trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).srt	20.0 KB
4. The Top-N or Rank-N Accuracy Metric.mp4	13.0 MB
4. The Top-N or Rank-N Accuracy Metric.srt	4.7 KB
5. Getting the Rank-N Accuracy in PyTorch.mp4	102.7 MB
5. Getting the Rank-N Accuracy in PyTorch.srt	16.8 KB
6. Getting the Rank-N Accuracy in Keras.mp4	58.6 MB
6. Getting the Rank-N Accuracy in Keras.srt	10.0 KB
/19. Using Callbacks in Keras and PyTorch/
1. What are Callbacks.mp4	17.0 MB
1. What are Callbacks.srt	7.2 KB
2. Cats vs Dogs Classifier using Callbacks in PyTorch.mp4	120.6 MB
2. Cats vs Dogs Classifier using Callbacks in PyTorch.srt	23.4 KB
3. Cats vs Dogs Classifier using Callbacks in Keras.mp4	120.3 MB
3. Cats vs Dogs Classifier using Callbacks in Keras.srt	22.8 KB
/2. Download Code and Setup Colab/
1. Download Course Resources.html	0.8 KB
1.1 Code - Modern Computer Vision_05_06_2022.zip	158.3 MB
1.2 ebook slides - Modern Computer Vision.pdf	127.5 MB
2. Setup - Download Code and Configure Colab.mp4	23.7 MB
2. Setup - Download Code and Configure Colab.srt	4.3 KB
/20. PyTorch Lightning/
1. Introduction to PyTorch Lightning.mp4	40.1 MB
1. Introduction to PyTorch Lightning.srt	12.3 KB
2. Lightning Setup and Class.mp4	65.2 MB
2. Lightning Setup and Class.srt	9.8 KB
3. Auto Batch and Learning Rate Selection plus Tensorboards.mp4	111.7 MB
3. Auto Batch and Learning Rate Selection plus Tensorboards.srt	17.5 KB
4. PyTorch Lightning Calls, Saving, Inference.mp4	75.1 MB
4. PyTorch Lightning Calls, Saving, Inference.srt	13.3 KB
5. Training on Multiple GPU, Profiling and TPUs.mp4	67.3 MB
5. Training on Multiple GPU, Profiling and TPUs.srt	10.2 KB
/21. Transfer Learning and Fine Tuning/
1. Transfer Learning Introduction.mp4	33.4 MB
1. Transfer Learning Introduction.srt	13.0 KB
2. Transfer Learning in PyTorch Lightning.mp4	58.6 MB
2. Transfer Learning in PyTorch Lightning.srt	9.9 KB
3. Transfer Learning and Fine Tuning with Keras.mp4	100.7 MB
3. Transfer Learning and Fine Tuning with Keras.srt	17.6 KB
4. Keras Feature Extraction.mp4	138.2 MB
4. Keras Feature Extraction.srt	19.9 KB
5. PyTorch Fine Tuning.mp4	127.5 MB
5. PyTorch Fine Tuning.srt	22.3 KB
6. PyTorch Transfer Learning and Freezing Network Layers.mp4	30.2 MB
6. PyTorch Transfer Learning and Freezing Network Layers.srt	5.4 KB
7. PyTorch Feature Extraction.mp4	108.4 MB
7. PyTorch Feature Extraction.srt	16.3 KB
/22. Google DeepStream and Neural Style Transfer/
1. Introduction to Google DeepDream Visualizations.mp4	41.8 MB
1. Introduction to Google DeepDream Visualizations.srt	7.5 KB
2. Google DeepDream in Keras.mp4	76.4 MB
2. Google DeepDream in Keras.srt	10.8 KB
3. Google DeepDream in PyTorch.mp4	61.2 MB
3. Google DeepDream in PyTorch.srt	6.5 KB
4. Introduction to Neural Style Transfer.mp4	52.4 MB
4. Introduction to Neural Style Transfer.srt	14.9 KB
5. Neural Style Transfer in Keras.mp4	147.9 MB
5. Neural Style Transfer in Keras.srt	22.8 KB
6. Neural Style Transfer in PyTorch.mp4	60.7 MB
6. Neural Style Transfer in PyTorch.srt	7.7 KB
/.../0. Websites you may like/
[CourseClub.Me].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/23. Autoencoders/
1. Introduction to Autoencoders.mp4	26.6 MB
1. Introduction to Autoencoders.srt	10.7 KB
2. Autoencoders in Keras.mp4	84.5 MB
2. Autoencoders in Keras.srt	14.0 KB
3. Autoencoders in PyTorch.mp4	69.3 MB
3. Autoencoders in PyTorch.srt	11.5 KB
/24. Generative Adversarial Networks (GANs)/
1. Introduction to GANs.mp4	45.7 MB
1. Introduction to GANs.srt	6.7 KB
1.1 Slides - Generative Adverserial Networks.pdf	30.3 MB
2. How Do GANs Work.mp4	27.8 MB
2. How Do GANs Work.srt	7.4 KB
3. Training GANs.mp4	51.7 MB
3. Training GANs.srt	11.2 KB
4. Use Cases for GANs.mp4	113.4 MB
4. Use Cases for GANs.srt	13.7 KB
5. Keras DCGAN with MNIST.mp4	105.8 MB
5. Keras DCGAN with MNIST.srt	16.8 KB
6. PyTorch GANs.mp4	68.6 MB
6. PyTorch GANs.srt	11.7 KB
7. Super Resolution GAN.mp4	107.2 MB
7. Super Resolution GAN.srt	13.9 KB
8. AnimeGAN.mp4	36.5 MB
8. AnimeGAN.srt	5.5 KB
9. ArcaneGAN.mp4	33.1 MB
9. ArcaneGAN.srt	3.8 KB
/25. Siamese Network/
1. Introduction to Siamese Networks.mp4	30.2 MB
1. Introduction to Siamese Networks.srt	8.9 KB
2. Training Siamese Networks.mp4	14.0 MB
2. Training Siamese Networks.srt	4.9 KB
3. Siamese Networks in Keras.mp4	76.6 MB
3. Siamese Networks in Keras.srt	13.1 KB
4. Siamese Networks in PyTorch.mp4	71.2 MB
4. Siamese Networks in PyTorch.srt	10.0 KB
/26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/
1. Face Recognition Overview.mp4	33.6 MB
1. Face Recognition Overview.srt	10.8 KB
2. Facial Similarity Keras VGGFace.mp4	59.4 MB
2. Facial Similarity Keras VGGFace.srt	9.4 KB
3. Face Recognition Keras One Shot Learning and Friends.mp4	84.5 MB
3. Face Recognition Keras One Shot Learning and Friends.srt	11.3 KB
4. Face Recognition PyTorch FaceNet.mp4	53.8 MB
4. Face Recognition PyTorch FaceNet.srt	8.1 KB
5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.mp4	138.8 MB
5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.srt	20.5 KB
/27. Object Detection/
1. Object Detection.mp4	68.4 MB
1. Object Detection.srt	13.4 KB
2. History of Object Detectors.mp4	55.4 MB
2. History of Object Detectors.srt	12.4 KB
3. Intersection Over Union.mp4	18.3 MB
3. Intersection Over Union.srt	4.4 KB
4. Mean Average Precision.mp4	47.9 MB
4. Mean Average Precision.srt	12.0 KB
5. Non Maximum Suppression.mp4	20.5 MB
5. Non Maximum Suppression.srt	4.5 KB
6. R-CNNs, Fast R-CNNs and Faster R-CNNs.mp4	43.2 MB
6. R-CNNs, Fast R-CNNs and Faster R-CNNs.srt	11.5 KB
7. Single Shot Detectors (SSDs).mp4	32.4 MB
7. Single Shot Detectors (SSDs).srt	10.1 KB
/28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/
1. Introduction to YOLO.mp4	35.1 MB
1. Introduction to YOLO.srt	8.7 KB
2. How YOLO Works.mp4	30.7 MB
2. How YOLO Works.srt	6.6 KB
3. Training YOLO.mp4	26.2 MB
3. Training YOLO.srt	6.7 KB
4. YOLO Evolution.mp4	25.4 MB
4. YOLO Evolution.srt	8.1 KB
5. EfficientDet.mp4	32.2 MB
5. EfficientDet.srt	8.4 KB
6. Detectron2.mp4	42.6 MB
6. Detectron2.srt	10.0 KB
/29. Gun Detector - Scaled-YoloV4/
1. Gun Detector - Scaled-YoloV4.mp4	134.7 MB
1. Gun Detector - Scaled-YoloV4.srt	18.2 KB
/3. OpenCV - Image Operations/
1. Getting Started with OpenCV4.mp4	99.3 MB
1. Getting Started with OpenCV4.srt	23.6 KB
10. Dilation, Erosion and Edge Detection.mp4	83.8 MB
10. Dilation, Erosion and Edge Detection.srt	14.8 KB
2. Grayscaling Images.mp4	55.1 MB
2. Grayscaling Images.srt	9.6 KB
3. Colour Spaces - RGB and HSV.mp4	71.6 MB
3. Colour Spaces - RGB and HSV.srt	12.5 KB
4. Drawing on Images.mp4	54.6 MB
4. Drawing on Images.srt	14.8 KB
5. Transformations - Translations and Rotations.mp4	70.5 MB
5. Transformations - Translations and Rotations.srt	14.3 KB
6. Scaling, Re-sizing, Interpolations and Cropping.mp4	120.5 MB
6. Scaling, Re-sizing, Interpolations and Cropping.srt	19.4 KB
7. Arithmetic and Bitwise Operations.mp4	69.4 MB
7. Arithmetic and Bitwise Operations.srt	14.9 KB
8. Convolutions, Blurring and Sharpening Images.mp4	61.8 MB
8. Convolutions, Blurring and Sharpening Images.srt	9.3 KB
9. Thresholding, Binarization & Adaptive Thresholding.mp4	122.9 MB
9. Thresholding, Binarization & Adaptive Thresholding.srt	19.2 KB
/30. Mask Detector TFODAPI MobileNetV2_SSD/
1. Mask Detector TFODAPI MobileNetV2_SSD.mp4	85.1 MB
1. Mask Detector TFODAPI MobileNetV2_SSD.srt	11.4 KB
/31. Sign Language Detector TFODAPI EfficentDet/
1. Sign Language Detector TFODAPI EfficentDet.mp4	89.3 MB
1. Sign Language Detector TFODAPI EfficentDet.srt	10.8 KB
/32. Pothole Detector - TinyYOLOv4/
1. Pothole Detector - TinyYOLOv4.mp4	62.4 MB
1. Pothole Detector - TinyYOLOv4.srt	7.9 KB
/33. Mushroom Detector Detectron2/
1. Mushroom Detector Detectron2.mp4	68.1 MB
1. Mushroom Detector Detectron2.srt	7.5 KB
/34. Website Region Detector YOLOv4 Darknet/
1. Website Region Detector YOLOv4 Darknet.mp4	52.0 MB
1. Website Region Detector YOLOv4 Darknet.srt	6.9 KB
/35. Drone Maritime Detector R-CNN/
1. Drone Maritime Detector R-CNN.mp4	59.6 MB
1. Drone Maritime Detector R-CNN.srt	7.7 KB
/36. Chess Piece YOLOv3/
1. Chess Piece YOLOv3.mp4	44.7 MB
1. Chess Piece YOLOv3.srt	7.2 KB
/37. Bloodcell Detector YOLOv5/
1. Bloodcell Detector YOLOv5.mp4	61.4 MB
1. Bloodcell Detector YOLOv5.srt	6.8 KB
/38. Hard Hat Detector EfficentDet/
1. Hard Hat Detector EfficentDet.mp4	32.1 MB
1. Hard Hat Detector EfficentDet.srt	5.4 KB
/39. Plant Doctor Detector YOLOv5/
1. Plant Doctor Detector YOLOv5.mp4	74.6 MB
1. Plant Doctor Detector YOLOv5.srt	9.5 KB
/4. OpenCV - Image Segmentation/
1. Contours - Drawing, Hierarchy and Modes.mp4	122.8 MB
1. Contours - Drawing, Hierarchy and Modes.srt	20.9 KB
2. Moments, Sorting, Approximating and Matching Contours.mp4	146.6 MB
2. Moments, Sorting, Approximating and Matching Contours.srt	25.4 KB
3. Line, Circle and Blob Detection.mp4	59.3 MB
3. Line, Circle and Blob Detection.srt	9.2 KB
4. Counting Circles, Ellipses and Finding Waldo with Template Matching.mp4	71.8 MB
4. Counting Circles, Ellipses and Finding Waldo with Template Matching.srt	9.5 KB
5. Finding Corners.mp4	38.3 MB
5. Finding Corners.srt	6.7 KB
/40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/
1. Introduction to Deep Segmentation.mp4	82.0 MB
1. Introduction to Deep Segmentation.srt	17.1 KB
2. Image Segmentation Keras UNET SegNet.mp4	76.6 MB
2. Image Segmentation Keras UNET SegNet.srt	11.5 KB
3. PyTorch DeepLabV3.mp4	63.1 MB
3. PyTorch DeepLabV3.srt	8.2 KB
4. Mask-RCNN Tensorflow Matterport.mp4	64.7 MB
4. Mask-RCNN Tensorflow Matterport.srt	6.6 KB
5. Detectron2 Mask R-CNN.mp4	74.3 MB
5. Detectron2 Mask R-CNN.srt	7.4 KB
6. Train Mask R-CNN Shapes Dataset.mp4	57.6 MB
6. Train Mask R-CNN Shapes Dataset.srt	7.0 KB
/41. Body Pose Estimation/
1. Body Pose Estimation.mp4	48.5 MB
1. Body Pose Estimation.srt	4.7 KB
/42. Tracking with DeepSORT/
1. DeepSORT Introduction.mp4	62.4 MB
1. DeepSORT Introduction.srt	12.7 KB
2. DeepSORT with YOLOv5.mp4	61.2 MB
2. DeepSORT with YOLOv5.srt	5.7 KB
/43. Deep Fakes/
1. Creating a Deep Fake.mp4	61.5 MB
1. Creating a Deep Fake.srt	7.7 KB
/44. Vision Transformers - ViTs/
1. Introduction to Vision Transformers.mp4	28.0 MB
1. Introduction to Vision Transformers.srt	7.7 KB
2. Vision Transformer in Detail with PyTorch.mp4	79.9 MB
2. Vision Transformer in Detail with PyTorch.srt	12.4 KB
3. Vision Transformers in Keras.mp4	50.3 MB
3. Vision Transformers in Keras.srt	7.7 KB
/45. BiT BigTransfer Classifier Keras/
1. BiT BigTransfer Classifier Keras.mp4	61.5 MB
1. BiT BigTransfer Classifier Keras.srt	9.4 KB
/46. Depth Estimation/
1. Depth Estimation Project.mp4	80.5 MB
1. Depth Estimation Project.srt	11.0 KB
/47. Image Similarity using Metric Learning/
1. Image Similarity using Metric Learning.mp4	58.7 MB
1. Image Similarity using Metric Learning.srt	8.1 KB
/48. Image Captioning with Keras/
1. Image Captioning with Keras.mp4	100.8 MB
1. Image Captioning with Keras.srt	14.4 KB
/49. Video Classification usign CNN+RNN/
1. Video Classification usign CNN+RNN.mp4	59.5 MB
1. Video Classification usign CNN+RNN.srt	8.0 KB
/5. OpenCV - Haar Cascade Classifiers/
1. Face and Eye Detection with Haar Cascade Classifiers.mp4	115.6 MB
1. Face and Eye Detection with Haar Cascade Classifiers.srt	18.2 KB
2. Vehicle and Pedestrian Detection.mp4	90.3 MB
2. Vehicle and Pedestrian Detection.srt	15.0 KB
/50. Video Classification with Transformers/
1. Video Classification with Transformers.mp4	51.6 MB
1. Video Classification with Transformers.srt	6.6 KB
/51. Point Cloud Classification PointNet/
1. Point Cloud Classification PointNet.mp4	62.4 MB
1. Point Cloud Classification PointNet.srt	8.5 KB
/52. Point Cloud Segmentation Using PointNet/
1. Point Cloud Segmentation Using PointNet.mp4	96.5 MB
1. Point Cloud Segmentation Using PointNet.srt	13.5 KB
/53. Medical Project - X-Ray Pneumonia Prediction/
1. X-Ray Pneumonia Prediction.mp4	64.4 MB
1. X-Ray Pneumonia Prediction.srt	8.4 KB
/54. Medical Project - 3D CT Scan Classification/
1. 3D CT Scan Classification.mp4	63.2 MB
1. 3D CT Scan Classification.srt	8.1 KB
/55. Low Light Image Enhancement MIRNet/
1. Low Light Image Enhancement MIRNet.mp4	96.0 MB
1. Low Light Image Enhancement MIRNet.srt	10.9 KB
/56. Deploy your CV App using Flask RestFUL API & Web App/
1. Flask RestFUL API.mp4	57.6 MB
1. Flask RestFUL API.srt	10.2 KB
2. Flask Web App.mp4	39.1 MB
2. Flask Web App.srt	6.2 KB
/57. OCR Captcha Cracker/
1. OCR Captcha Cracker.mp4	48.6 MB
1. OCR Captcha Cracker.srt	7.8 KB
/.../0. Websites you may like/
[CourseClub.Me].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/6. OpenCV - Image Analysis and Transformation/
1. Perspective Transforms.mp4	67.6 MB
1. Perspective Transforms.srt	13.0 KB
2. Histograms and K-Means Clustering for Dominant Colors.mp4	83.8 MB
2. Histograms and K-Means Clustering for Dominant Colors.srt	16.0 KB
3. Comparing Images MSE and Structual Similarity.mp4	44.1 MB
3. Comparing Images MSE and Structual Similarity.srt	8.6 KB
4. Filtering on Colour.mp4	42.9 MB
4. Filtering on Colour.srt	8.6 KB
5. Watershed Algorithm Marker-Dased Image Segmentation.mp4	45.4 MB
5. Watershed Algorithm Marker-Dased Image Segmentation.srt	8.4 KB
6. Background and Foreground Subtraction.mp4	69.3 MB
6. Background and Foreground Subtraction.srt	11.5 KB
/7. OpenCV - Motion and Object Tracking/
1. Motion Tracking with Mean Shift and CAMSHIFT.mp4	74.5 MB
1. Motion Tracking with Mean Shift and CAMSHIFT.srt	10.8 KB
2. Object Tracking with Optical Flow.mp4	99.8 MB
2. Object Tracking with Optical Flow.srt	15.9 KB
3. Simple Object Tracking by Color.mp4	51.0 MB
3. Simple Object Tracking by Color.srt	7.8 KB
/8. OpenCV - Facial Landmark Detection & Face Swaps/
1. Facial Landmark Detection with Dlib.mp4	39.4 MB
1. Facial Landmark Detection with Dlib.srt	8.4 KB
2. Face Swapping with Dlib.mp4	51.8 MB
2. Face Swapping with Dlib.srt	8.3 KB
/9. OpenCV Projects/
1. Tilt Shift Effects.mp4	61.9 MB
1. Tilt Shift Effects.srt	8.9 KB
10. Add and Remove Noise and Fix Contrast with Histogram Equalization.mp4	93.3 MB
10. Add and Remove Noise and Fix Contrast with Histogram Equalization.srt	14.1 KB
11. Detect Blur in Images.mp4	41.5 MB
11. Detect Blur in Images.srt	7.7 KB
12. Facial Recognition.mp4	88.4 MB
12. Facial Recognition.srt	14.8 KB
2. GrabCut Algorithm for Background Removal.mp4	47.9 MB
2. GrabCut Algorithm for Background Removal.srt	9.4 KB
3. OCR with PyTesseract and EasyOCR (Text Detection).mp4	125.3 MB
3. OCR with PyTesseract and EasyOCR (Text Detection).srt	19.3 KB
4. Barcode, QR Generation and Reading.mp4	72.0 MB
4. Barcode, QR Generation and Reading.srt	13.4 KB
5. YOLOv3 in OpenCV.mp4	83.4 MB
5. YOLOv3 in OpenCV.srt	12.8 KB
6. Neural Style Transfer with OpenCV.mp4	150.0 MB
6. Neural Style Transfer with OpenCV.srt	17.2 KB
7. SSDs in OpenCV.mp4	54.3 MB
7. SSDs in OpenCV.srt	6.8 KB
8. Colorize Black and White Photos using a Caffe Model in OpenCV.mp4	84.9 MB
8. Colorize Black and White Photos using a Caffe Model in OpenCV.srt	11.8 KB
9. Inpainting to Restore Damaged Photos.mp4	29.9 MB
9. Inpainting to Restore Damaged Photos.srt	5.9 KB
Total files 469