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Udemy - Modern Computer Vision & Deep Learning with Python & PyTorch (12.2024)

Magnet Download Download Torrent
File Name
Size
01. Introduction to Course/01. Introduction to Computer Vision Course.mp4
25 MB
01. Introduction to Course/01. Introduction to Computer Vision Course.vtt
3.9 kB
02. What is Computer Vision & its Applications/01. Introduction to Computer Vision and its Real-world Applications.mp4
109 MB
02. What is Computer Vision & its Applications/01. Introduction to Computer Vision and its Real-world Applications.vtt
13 kB
02. What is Computer Vision & its Applications/02. Major Computer Vision Tasks.mp4
11 MB
02. What is Computer Vision & its Applications/02. Major Computer Vision Tasks.vtt
3.7 kB
03. Deep Learning for Computer Vision/01. Basics of Deep Learning for Computer Vision.mp4
151 MB
03. Deep Learning for Computer Vision/01. Basics of Deep Learning for Computer Vision.vtt
28 kB
04. Computer Vision and Deep Convolutional Neural Networks/01. Computer Vision using Convolutional Neural Networks (CNN).mp4
53 MB
04. Computer Vision and Deep Convolutional Neural Networks/01. Computer Vision using Convolutional Neural Networks (CNN).vtt
12 kB
04. Computer Vision and Deep Convolutional Neural Networks/02. Setting-up Google Colab for Writing Python Code.mp4
31 MB
04. Computer Vision and Deep Convolutional Neural Networks/02. Setting-up Google Colab for Writing Python Code.vtt
7.8 kB
04. Computer Vision and Deep Convolutional Neural Networks/03. Coding Convolutional Neural Network Architecture from Scratch.mp4
163 MB
04. Computer Vision and Deep Convolutional Neural Networks/03. Coding Convolutional Neural Network Architecture from Scratch.vtt
35 kB
04. Computer Vision and Deep Convolutional Neural Networks/04. Convolutional Neural Networks HyperParameters Optimization.mp4
35 MB
04. Computer Vision and Deep Convolutional Neural Networks/04. Convolutional Neural Networks HyperParameters Optimization.vtt
12 kB
04. Computer Vision and Deep Convolutional Neural Networks/05. Training Convolutional Neural Network from Scratch.mp4
37 MB
04. Computer Vision and Deep Convolutional Neural Networks/05. Training Convolutional Neural Network from Scratch.vtt
3.5 kB
04. Computer Vision and Deep Convolutional Neural Networks/06. Calculate Accuracy, Precision, Recall and Visualize Confusion Matrix.mp4
118 MB
04. Computer Vision and Deep Convolutional Neural Networks/06. Calculate Accuracy, Precision, Recall and Visualize Confusion Matrix.vtt
19 kB
04. Computer Vision and Deep Convolutional Neural Networks/07. Resources Complete Code for CNN from Scratch with Python and Pytorch.html
141 B
04. Computer Vision and Deep Convolutional Neural Networks/assets/Resources-Code-for-Convolutional-Neural-Networks-from-Scratch-with-Python.zip
180 kB
05. 1. Image Classification Task of Computer Vision/01. Image Classification Task of Computer Vision with Pytoch and Python.mp4
6.8 MB
05. 1. Image Classification Task of Computer Vision/01. Image Classification Task of Computer Vision with Pytoch and Python.vtt
3.2 kB
05. 1. Image Classification Task of Computer Vision/02. Image Classification with Deep Convolutional Neural Networks using Python.mp4
230 MB
05. 1. Image Classification Task of Computer Vision/02. Image Classification with Deep Convolutional Neural Networks using Python.vtt
30 kB
05. 1. Image Classification Task of Computer Vision/03. Resources Code for Image Classification with Deep CNN from Scratch.html
166 B
05. 1. Image Classification Task of Computer Vision/assets/Image-Classification-with-Deep-CNN.zip
241 kB
06. Pretrained Models for Single and Multi-Label Image Classification/01. Introduction to Pretrained Models.mp4
21 MB
06. Pretrained Models for Single and Multi-Label Image Classification/01. Introduction to Pretrained Models.vtt
5.7 kB
06. Pretrained Models for Single and Multi-Label Image Classification/02. Deep Learning ResNet and AlexNet Architectures.mp4
21 MB
06. Pretrained Models for Single and Multi-Label Image Classification/02. Deep Learning ResNet and AlexNet Architectures.vtt
5.0 kB
06. Pretrained Models for Single and Multi-Label Image Classification/03. Access Data from Google Drive to Colab.mp4
20 MB
06. Pretrained Models for Single and Multi-Label Image Classification/03. Access Data from Google Drive to Colab.vtt
3.4 kB
06. Pretrained Models for Single and Multi-Label Image Classification/04. Data Preprocessing for Image Classification.mp4
16 MB
06. Pretrained Models for Single and Multi-Label Image Classification/04. Data Preprocessing for Image Classification.vtt
5.0 kB
06. Pretrained Models for Single and Multi-Label Image Classification/05. Single-Label Image Classification using ResNet and AlexNet PreTrained Models.mp4
31 MB
06. Pretrained Models for Single and Multi-Label Image Classification/05. Single-Label Image Classification using ResNet and AlexNet PreTrained Models.vtt
9.1 kB
06. Pretrained Models for Single and Multi-Label Image Classification/06. Single Label Classification Python and Pytorch Code.html
114 B
06. Pretrained Models for Single and Multi-Label Image Classification/07. Multi-Label Image Classification using Deep Learning Models.mp4
38 MB
06. Pretrained Models for Single and Multi-Label Image Classification/07. Multi-Label Image Classification using Deep Learning Models.vtt
7.9 kB
06. Pretrained Models for Single and Multi-Label Image Classification/08. Multi-Label Classification Python and PyTorch Code.html
101 B
06. Pretrained Models for Single and Multi-Label Image Classification/assets/Lecture-2-Resources-Multi-Label-Classification.zip
227 kB
06. Pretrained Models for Single and Multi-Label Image Classification/assets/Lecture-2-Resources-Single-Label-Classification.zip
995 kB
07. Transfer Learning for Image Classification/01. Introduction to Transfer Learning.mp4
26 MB
07. Transfer Learning for Image Classification/01. Introduction to Transfer Learning.vtt
7.9 kB
07. Transfer Learning for Image Classification/02. Dataset, Data Augmentation, and Dataloaders.mp4
35 MB
07. Transfer Learning for Image Classification/02. Dataset, Data Augmentation, and Dataloaders.vtt
9.1 kB
07. Transfer Learning for Image Classification/03. Dataset for Classification.html
69 B
07. Transfer Learning for Image Classification/04. FineTuning Deep ResNet Model.mp4
49 MB
07. Transfer Learning for Image Classification/04. FineTuning Deep ResNet Model.vtt
8.5 kB
07. Transfer Learning for Image Classification/05. HyperParameteres Optimization for Model.mp4
26 MB
07. Transfer Learning for Image Classification/05. HyperParameteres Optimization for Model.vtt
7.7 kB
07. Transfer Learning for Image Classification/06. Training Deep ResNet Model.mp4
14 MB
07. Transfer Learning for Image Classification/06. Training Deep ResNet Model.vtt
4.2 kB
07. Transfer Learning for Image Classification/07. Fixed Feature Extractraction using ResNet.mp4
18 MB
07. Transfer Learning for Image Classification/07. Fixed Feature Extractraction using ResNet.vtt
5.7 kB
07. Transfer Learning for Image Classification/08. Model Optimization, Training and Results Visualization.mp4
36 MB
07. Transfer Learning for Image Classification/08. Model Optimization, Training and Results Visualization.vtt
7.8 kB
07. Transfer Learning for Image Classification/09. Complete Python Code for Transfer Learning and Dataset.html
77 B
07. Transfer Learning for Image Classification/assets/Classification-Dataset.zip
176 MB
07. Transfer Learning for Image Classification/assets/Code-for-Transfer-Learning-by-FineTuning-and-Model-Feature-Extractor.zip
120 kB
08. 2. Object Detection Task Of Computer Vision/01. Object Detection Task Of Computer Vision with Python.mp4
28 MB
08. 2. Object Detection Task Of Computer Vision/01. Object Detection Task Of Computer Vision with Python.vtt
9.2 kB
09. Overview of YOLO Family for Object Detection/01. Overview of YOLO Family.mp4
265 MB
09. Overview of YOLO Family for Object Detection/01. Overview of YOLO Family.vtt
41 kB
09. Overview of YOLO Family for Object Detection/02. YOLO Family Research Papers.html
66 B
09. Overview of YOLO Family for Object Detection/03. YOLOv8 and its Architecture.mp4
38 MB
09. Overview of YOLO Family for Object Detection/03. YOLOv8 and its Architecture.vtt
17 kB
09. Overview of YOLO Family for Object Detection/assets/YOLO-You-Only-Look-Once.pdf
5.1 MB
09. Overview of YOLO Family for Object Detection/assets/YOLO2.pdf
5.0 MB
09. Overview of YOLO Family for Object Detection/assets/YOLO3.pdf
2.3 MB
09. Overview of YOLO Family for Object Detection/assets/YOLO4-CSPNet.pdf
1.4 MB
09. Overview of YOLO Family for Object Detection/assets/YOLO4.pdf
3.8 MB
09. Overview of YOLO Family for Object Detection/assets/YOLO5-EfficientNet.pdf
752 kB
09. Overview of YOLO Family for Object Detection/assets/YOLO5.pdf
734 kB
09. Overview of YOLO Family for Object Detection/assets/YOLO6.pdf
1.0 MB
09. Overview of YOLO Family for Object Detection/assets/YOLO7.pdf
2.2 MB
10. Video Object Detection in Real-time/01. Vehicles Detection Custom Dataset.mp4
69 MB
10. Video Object Detection in Real-time/01. Vehicles Detection Custom Dataset.vtt
6.7 kB
10. Video Object Detection in Real-time/02. Setting HyperParameters for YOLO8.mp4
58 MB
10. Video Object Detection in Real-time/02. Setting HyperParameters for YOLO8.vtt
8.2 kB
10. Video Object Detection in Real-time/03. Training YOLO8 on Vehicles Dataset.mp4
42 MB
10. Video Object Detection in Real-time/03. Training YOLO8 on Vehicles Dataset.vtt
7.2 kB
10. Video Object Detection in Real-time/04. Testing YOLO8 on Videos and Images.mp4
108 MB
10. Video Object Detection in Real-time/04. Testing YOLO8 on Videos and Images.vtt
8.3 kB
10. Video Object Detection in Real-time/05. Calculate Performance Metrics (Precision, Recall, Mean Average Precision mAP).mp4
54 MB
10. Video Object Detection in Real-time/05. Calculate Performance Metrics (Precision, Recall, Mean Average Precision mAP).vtt
8.5 kB
10. Video Object Detection in Real-time/06. Export and Deploy the Model.mp4
32 MB
10. Video Object Detection in Real-time/06. Export and Deploy the Model.vtt
3.4 kB
10. Video Object Detection in Real-time/07. Resources Videos Vehicles Detection Complete Code and Dataset.html
88 B
10. Video Object Detection in Real-time/assets/TestVideo.zip
24 MB
10. Video Object Detection in Real-time/assets/VehiclesDetection-Dataset.zip
38 MB
10. Video Object Detection in Real-time/assets/VehiclesDetection.ipynb
1.0 MB
11. Overview of RCNN Family for Object Detection/01. Overview of RCNN Family for Object Detection.mp4
147 MB
11. Overview of RCNN Family for Object Detection/01. Overview of RCNN Family for Object Detection.vtt
30 kB
12. Detectron2 for Ojbect Detection/01. Detectron2 for Ojbect Detection with PyTorch.mp4
160 MB
12. Detectron2 for Ojbect Detection/01. Detectron2 for Ojbect Detection with PyTorch.vtt
23 kB
12. Detectron2 for Ojbect Detection/02. Perform Object Detection using Detectron2 Pretrained Models.mp4
137 MB
12. Detectron2 for Ojbect Detection/02. Perform Object Detection using Detectron2 Pretrained Models.vtt
12 kB
12. Detectron2 for Ojbect Detection/03. Python and PyTorch Code.html
5.2 kB
12. Detectron2 for Ojbect Detection/assets/Object-Detection-with-Detctron2.ipynb
13 MB
13. Training, Evaluating and Visualizing Object Detection on Custom Dataset/01. Custom Dataset for Object Detection.mp4
88 MB
13. Training, Evaluating and Visualizing Object Detection on Custom Dataset/01. Custom Dataset for Object Detection.vtt
16 kB
13. Training, Evaluating and Visualizing Object Detection on Custom Dataset/02. Dataset for Object Detection.html
56 B
13. Training, Evaluating and Visualizing Object Detection on Custom Dataset/03. Train, Evaluate Object Detection Models & Visualizing Results on Custom Dataset.mp4
153 MB
13. Training, Evaluating and Visualizing Object Detection on Custom Dataset/03. Train, Evaluate Object Detection Models & Visualizing Results on Custom Dataset.vtt
16 kB
13. Training, Evaluating and Visualizing Object Detection on Custom Dataset/04. Python and PyTorch Code.html
9.2 kB
13. Training, Evaluating and Visualizing Object Detection on Custom Dataset/assets/balloon.zip
37 MB
13. Training, Evaluating and Visualizing Object Detection on Custom Dataset/assets/Object-Detection-On-Custom-Dataset.ipynb
16 MB
14. Complete Code and Custom Dataset for Object Detection/01. Resources Code and Custom Dataset for Object Detection.html
76 B
14. Complete Code and Custom Dataset for Object Detection/assets/balloon.zip
37 MB
14. Complete Code and Custom Dataset for Object Detection/assets/Python-and-PyTorch-Code.zip
18 MB
15. 3. Semantic Segmentation Task Of Computer Vision/01. Semantic Segmentation Task Of Computer Vision with Pytorch and Python.mp4
33 MB
15. 3. Semantic Segmentation Task Of Computer Vision/01. Semantic Segmentation Task Of Computer Vision with Pytorch and Python.vtt
7.3 kB
15. 3. Semantic Segmentation Task Of Computer Vision/02. Semantic Segmentation Real-World Applications.mp4
144 MB
15. 3. Semantic Segmentation Task Of Computer Vision/02. Semantic Segmentation Real-World Applications.vtt
14 kB
16. Deep Learning Architectures For Segmentation (UNet, PSPNet, PAN)/01. Pyramid Scene Parsing Network (PSPNet) For Segmentation.mp4
24 MB
16. Deep Learning Architectures For Segmentation (UNet, PSPNet, PAN)/01. Pyramid Scene Parsing Network (PSPNet) For Segmentation.vtt
5.8 kB
16. Deep Learning Architectures For Segmentation (UNet, PSPNet, PAN)/02. UNet Architecture For Segmentation.mp4
8.7 MB
16. Deep Learning Architectures For Segmentation (UNet, PSPNet, PAN)/02. UNet Architecture For Segmentation.vtt
4.8 kB
16. Deep Learning Architectures For Segmentation (UNet, PSPNet, PAN)/03. Pyramid Attention Network (PAN).mp4
18 MB
16. Deep Learning Architectures For Segmentation (UNet, PSPNet, PAN)/03. Pyramid Attention Network (PAN).vtt
4.4 kB
16. Deep Learning Architectures For Segmentation (UNet, PSPNet, PAN)/04. Multi-Task Contextual Network (MTCNet).mp4
24 MB
16. Deep Learning Architectures For Segmentation (UNet, PSPNet, PAN)/04. Multi-Task Contextual Network (MTCNet).vtt
5.5 kB
17. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/01. Datasets for Semantic Segmentation.mp4
41 MB
17. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/01. Datasets for Semantic Segmentation.vtt
7.2 kB
17. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/02. Data Annotations Tool for Semantic Segmentation.mp4
50 MB
17. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/02. Data Annotations Tool for Semantic Segmentation.vtt
6.9 kB
17. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/03. Dataset for Semantic Segmentation.html
119 B
17. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/04. Data Loading with PyTorch Customized Dataset Class.mp4
110 MB
17. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/04. Data Loading with PyTorch Customized Dataset Class.vtt
23 kB
17. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/05. Data Loading for Segmentation with Python and PyTorch Code.html
6.8 kB
17. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/06. Data Augmentation using Albumentations with Different Transformations.mp4
64 MB
17. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/06. Data Augmentation using Albumentations with Different Transformations.vtt
13 kB
17. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/07. Augmentation Python Code.html
2.7 kB
17. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/08. Learn To Implement Data Loaders In Pytorch.mp4
17 MB
17. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/08. Learn To Implement Data Loaders In Pytorch.vtt
6.4 kB
17. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/assets/TrayDataset-for-Segmentation.zip
19 MB
18. Performance Metrics (IOU) For Segmentation Models Evaluation/01. Performance Metrics (IOU, Pixel Accuracy, Precision, Recall, Fscore).mp4
61 MB
18. Performance Metrics (IOU) For Segmentation Models Evaluation/01. Performance Metrics (IOU, Pixel Accuracy, Precision, Recall, Fscore).vtt
13 kB
18. Performance Metrics (IOU) For Segmentation Models Evaluation/02. Code (Python and PyTorch).html
18 kB
19. Encoders and Decoders For Segmentation In PyTorch/01. Transfer Learning And Pretrained Deep Resnet Architecture.mp4
35 MB
19. Encoders and Decoders For Segmentation In PyTorch/01. Transfer Learning And Pretrained Deep Resnet Architecture.vtt
10 kB
19. Encoders and Decoders For Segmentation In PyTorch/02. Encoders for Segmentation with PyTorch Liberary.mp4
20 MB
19. Encoders and Decoders For Segmentation In PyTorch/02. Encoders for Segmentation with PyTorch Liberary.vtt
13 kB
19. Encoders and Decoders For Segmentation In PyTorch/03. Decoders for Segmentation in PyTorch Liberary.mp4
27 MB
19. Encoders and Decoders For Segmentation In PyTorch/03. Decoders for Segmentation in PyTorch Liberary.vtt
13 kB
20. Implementation, Optimization and Training Of Segmentation Models/01. Implement Segmentation Models (UNet, PSPNet, DeepLab, PAN, and UNet++).mp4
198 MB
20. Implementation, Optimization and Training Of Segmentation Models/01. Implement Segmentation Models (UNet, PSPNet, DeepLab, PAN, and UNet++).vtt
20 kB
20. Implementation, Optimization and Training Of Segmentation Models/02. Segmentation Models Code with Python.html
1.0 kB
20. Implementation, Optimization and Training Of Segmentation Models/03. Learn To Optimize Hyperparameters For Segmentation Models.mp4
16 MB
20. Implementation, Optimization and Training Of Segmentation Models/03. Learn To Optimize Hyperparameters For Segmentation Models.vtt
10 kB
20. Implementation, Optimization and Training Of Segmentation Models/04. Model Optimaztion Code (Python And PyTorch).html
292 B
20. Implementation, Optimization and Training Of Segmentation Models/05. Training of Segmentation Models.mp4
53 MB
20. Implementation, Optimization and Training Of Segmentation Models/05. Training of Segmentation Models.vtt
12 kB
20. Implementation, Optimization and Training Of Segmentation Models/06. Model Training Code (Python And PyTorch).html
11 kB
21. Test Models and Visualize Segmentation Results/01. Test Models and Calculate IOU,Pixel Accuracy,Fscore.mp4
113 MB
21. Test Models and Visualize Segmentation Results/01. Test Models and Calculate IOU,Pixel Accuracy,Fscore.vtt
16 kB
21. Test Models and Visualize Segmentation Results/02. Test Models and Calculate Performance Scores (Python Code).html
11 kB
21. Test Models and Visualize Segmentation Results/03. Visualize Segmentation Results and Generate RGB Segmented Map.mp4
86 MB
21. Test Models and Visualize Segmentation Results/03. Visualize Segmentation Results and Generate RGB Segmented Map.vtt
16 kB
21. Test Models and Visualize Segmentation Results/04. Segmentation Results Visualization (Python Code).html
2.7 kB
22. Complete Code and Dataset for Semantic Segmentation/01. Final Code Review.mp4
24 MB
22. Complete Code and Dataset for Semantic Segmentation/01. Final Code Review.vtt
4.0 kB
22. Complete Code and Dataset for Semantic Segmentation/02. Complete Code and Dataset is Attached.html
106 B
22. Complete Code and Dataset for Semantic Segmentation/assets/Lecture-2-Final-Code.zip
939 kB
22. Complete Code and Dataset for Semantic Segmentation/assets/Lecture-3-TrayDataset-for-Segmentation.zip
19 MB
23. 4. Instance Segmentation Task of Computer Vision/01. Instance Segmentation Task of Computer Vision with Python.mp4
31 MB
23. 4. Instance Segmentation Task of Computer Vision/01. Instance Segmentation Task of Computer Vision with Python.vtt
6.2 kB
24. Mask RCNN for Instance Segmentation/01. Mask RCNN for Instance Segmentation.mp4
17 MB
24. Mask RCNN for Instance Segmentation/01. Mask RCNN for Instance Segmentation.vtt
5.3 kB
25. Training, Evaluating and Visualizing Instance Segmentation on Custom Dataset/01. Custom Dataset for Instance Segmentation.mp4
86 MB
25. Training, Evaluating and Visualizing Instance Segmentation on Custom Dataset/01. Custom Dataset for Instance Segmentation.vtt
16 kB
25. Training, Evaluating and Visualizing Instance Segmentation on Custom Dataset/02. Train, Evaluate Instance Segmentation Model & Visualizing Results on Custom Data.mp4
174 MB
25. Training, Evaluating and Visualizing Instance Segmentation on Custom Dataset/02. Train, Evaluate Instance Segmentation Model & Visualizing Results on Custom Data.vtt
23 kB
26. Complete Code and Custom Dataset for Instance Segmentation/01. Resources Complete Code and Custom Dataset for Instance Segmentation.html
90 B
26. Complete Code and Custom Dataset for Instance Segmentation/assets/balloon.zip
37 MB
26. Complete Code and Custom Dataset for Instance Segmentation/assets/Instance-Segmentation-on-Custom-Dataset.zip
6.4 MB
27. Video Instance Segmentation/01. Intro to Video Instance Segmentation.mp4
35 MB
27. Video Instance Segmentation/01. Intro to Video Instance Segmentation.vtt
5.4 kB
27. Video Instance Segmentation/02. YOLO8 for Video Instance Segmentation.mp4
56 MB
27. Video Instance Segmentation/02. YOLO8 for Video Instance Segmentation.vtt
17 kB
27. Video Instance Segmentation/03. Custom Dataset for Instance Segmentation.mp4
29 MB
27. Video Instance Segmentation/03. Custom Dataset for Instance Segmentation.vtt
6.4 kB
27. Video Instance Segmentation/04. Setting-up Hyper Parameters for Model.mp4
24 MB
27. Video Instance Segmentation/04. Setting-up Hyper Parameters for Model.vtt
7.9 kB
27. Video Instance Segmentation/05. Training Video Instance Segmentation Model.mp4
57 MB
27. Video Instance Segmentation/05. Training Video Instance Segmentation Model.vtt
7.1 kB
27. Video Instance Segmentation/06. Testing Segmentation Model on Images.mp4
28 MB
27. Video Instance Segmentation/06. Testing Segmentation Model on Images.vtt
4.6 kB
27. Video Instance Segmentation/07. Testing Segmentation Model on Videos.mp4
43 MB
27. Video Instance Segmentation/07. Testing Segmentation Model on Videos.vtt
6.2 kB
27. Video Instance Segmentation/08. Deploy Video Segmentation Model.mp4
18 MB
27. Video Instance Segmentation/08. Deploy Video Segmentation Model.vtt
3.3 kB
27. Video Instance Segmentation/09. Resources Video Segmentation Complete Code and Dataset.html
120 B
27. Video Instance Segmentation/assets/Code-Instance-Segmentation.zip
363 kB
27. Video Instance Segmentation/assets/TestVideos.zip
38 MB
27. Video Instance Segmentation/assets/VehicleSegmentation.zip
3.2 MB
28. Bonus Lecture Video Object Detection and Video Segmentation with Python/01. Bonus Lecture Video Object Detection and Video Segmentation with Python.html
4.5 kB