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

01. Introduction to Course/01. Introduction to Computer Vision Course.mp4

24.62 MB

01. Introduction to Course/01. Introduction to Computer Vision Course.vtt

3.92 KB

02. What is Computer Vision & its Applications/01. Introduction to Computer Vision and its Real-world Applications.mp4

108.7 MB

02. What is Computer Vision & its Applications/01. Introduction to Computer Vision and its Real-world Applications.vtt

13.3 KB

02. What is Computer Vision & its Applications/02. Major Computer Vision Tasks.mp4

11.29 MB

02. What is Computer Vision & its Applications/02. Major Computer Vision Tasks.vtt

3.72 KB

03. Deep Learning for Computer Vision/01. Basics of Deep Learning for Computer Vision.mp4

150.76 MB

03. Deep Learning for Computer Vision/01. Basics of Deep Learning for Computer Vision.vtt

27.68 KB

04. Computer Vision and Deep Convolutional Neural Networks/01. Computer Vision using Convolutional Neural Networks (CNN).mp4

53.42 MB

04. Computer Vision and Deep Convolutional Neural Networks/01. Computer Vision using Convolutional Neural Networks (CNN).vtt

11.63 KB

04. Computer Vision and Deep Convolutional Neural Networks/02. Setting-up Google Colab for Writing Python Code.mp4

31.41 MB

04. Computer Vision and Deep Convolutional Neural Networks/02. Setting-up Google Colab for Writing Python Code.vtt

7.84 KB

04. Computer Vision and Deep Convolutional Neural Networks/03. Coding Convolutional Neural Network Architecture from Scratch.mp4

163.08 MB

04. Computer Vision and Deep Convolutional Neural Networks/03. Coding Convolutional Neural Network Architecture from Scratch.vtt

35.08 KB

04. Computer Vision and Deep Convolutional Neural Networks/04. Convolutional Neural Networks HyperParameters Optimization.mp4

34.9 MB

04. Computer Vision and Deep Convolutional Neural Networks/04. Convolutional Neural Networks HyperParameters Optimization.vtt

12.2 KB

04. Computer Vision and Deep Convolutional Neural Networks/05. Training Convolutional Neural Network from Scratch.mp4

36.9 MB

04. Computer Vision and Deep Convolutional Neural Networks/05. Training Convolutional Neural Network from Scratch.vtt

3.53 KB

04. Computer Vision and Deep Convolutional Neural Networks/06. Calculate Accuracy, Precision, Recall and Visualize Confusion Matrix.mp4

118.23 MB

04. Computer Vision and Deep Convolutional Neural Networks/06. Calculate Accuracy, Precision, Recall and Visualize Confusion Matrix.vtt

18.83 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

179.55 KB

05. 1. Image Classification Task of Computer Vision/01. Image Classification Task of Computer Vision with Pytoch and Python.mp4

6.77 MB

05. 1. Image Classification Task of Computer Vision/01. Image Classification Task of Computer Vision with Pytoch and Python.vtt

3.22 KB

05. 1. Image Classification Task of Computer Vision/02. Image Classification with Deep Convolutional Neural Networks using Python.mp4

229.94 MB

05. 1. Image Classification Task of Computer Vision/02. Image Classification with Deep Convolutional Neural Networks using Python.vtt

29.52 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

240.7 KB

06. Pretrained Models for Single and Multi-Label Image Classification/01. Introduction to Pretrained Models.mp4

21.28 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

20.99 MB

06. Pretrained Models for Single and Multi-Label Image Classification/02. Deep Learning ResNet and AlexNet Architectures.vtt

4.99 KB

06. Pretrained Models for Single and Multi-Label Image Classification/03. Access Data from Google Drive to Colab.mp4

19.56 MB

06. Pretrained Models for Single and Multi-Label Image Classification/03. Access Data from Google Drive to Colab.vtt

3.35 KB

06. Pretrained Models for Single and Multi-Label Image Classification/04. Data Preprocessing for Image Classification.mp4

16.52 MB

06. Pretrained Models for Single and Multi-Label Image Classification/04. Data Preprocessing for Image Classification.vtt

4.97 KB

06. Pretrained Models for Single and Multi-Label Image Classification/05. Single-Label Image Classification using ResNet and AlexNet PreTrained Models.mp4

31.02 MB

06. Pretrained Models for Single and Multi-Label Image Classification/05. Single-Label Image Classification using ResNet and AlexNet PreTrained Models.vtt

9.06 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

38.26 MB

06. Pretrained Models for Single and Multi-Label Image Classification/07. Multi-Label Image Classification using Deep Learning Models.vtt

7.87 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

227.2 KB

06. Pretrained Models for Single and Multi-Label Image Classification/assets/Lecture-2-Resources-Single-Label-Classification.zip

995.24 KB

07. Transfer Learning for Image Classification/01. Introduction to Transfer Learning.mp4

25.51 MB

07. Transfer Learning for Image Classification/01. Introduction to Transfer Learning.vtt

7.94 KB

07. Transfer Learning for Image Classification/02. Dataset, Data Augmentation, and Dataloaders.mp4

34.99 MB

07. Transfer Learning for Image Classification/02. Dataset, Data Augmentation, and Dataloaders.vtt

9.06 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

49.02 MB

07. Transfer Learning for Image Classification/04. FineTuning Deep ResNet Model.vtt

8.54 KB

07. Transfer Learning for Image Classification/05. HyperParameteres Optimization for Model.mp4

26.53 MB

07. Transfer Learning for Image Classification/05. HyperParameteres Optimization for Model.vtt

7.65 KB

07. Transfer Learning for Image Classification/06. Training Deep ResNet Model.mp4

13.47 MB

07. Transfer Learning for Image Classification/06. Training Deep ResNet Model.vtt

4.16 KB

07. Transfer Learning for Image Classification/07. Fixed Feature Extractraction using ResNet.mp4

17.78 MB

07. Transfer Learning for Image Classification/07. Fixed Feature Extractraction using ResNet.vtt

5.67 KB

07. Transfer Learning for Image Classification/08. Model Optimization, Training and Results Visualization.mp4

35.91 MB

07. Transfer Learning for Image Classification/08. Model Optimization, Training and Results Visualization.vtt

7.76 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

176.28 MB

07. Transfer Learning for Image Classification/assets/Code-for-Transfer-Learning-by-FineTuning-and-Model-Feature-Extractor.zip

120.55 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

9.19 KB

09. Overview of YOLO Family for Object Detection/01. Overview of YOLO Family.mp4

264.93 MB

09. Overview of YOLO Family for Object Detection/01. Overview of YOLO Family.vtt

41.22 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

37.5 MB

09. Overview of YOLO Family for Object Detection/03. YOLOv8 and its Architecture.vtt

16.71 KB

09. Overview of YOLO Family for Object Detection/assets/YOLO-You-Only-Look-Once.pdf

5.05 MB

09. Overview of YOLO Family for Object Detection/assets/YOLO2.pdf

5.01 MB

09. Overview of YOLO Family for Object Detection/assets/YOLO3.pdf

2.34 MB

09. Overview of YOLO Family for Object Detection/assets/YOLO4-CSPNet.pdf

1.45 MB

09. Overview of YOLO Family for Object Detection/assets/YOLO4.pdf

3.76 MB

09. Overview of YOLO Family for Object Detection/assets/YOLO5-EfficientNet.pdf

752.24 KB

09. Overview of YOLO Family for Object Detection/assets/YOLO5.pdf

733.99 KB

09. Overview of YOLO Family for Object Detection/assets/YOLO6.pdf

1.03 MB

09. Overview of YOLO Family for Object Detection/assets/YOLO7.pdf

2.16 MB

10. Video Object Detection in Real-time/01. Vehicles Detection Custom Dataset.mp4

69.35 MB

10. Video Object Detection in Real-time/01. Vehicles Detection Custom Dataset.vtt

6.69 KB

10. Video Object Detection in Real-time/02. Setting HyperParameters for YOLO8.mp4

58.48 MB

10. Video Object Detection in Real-time/02. Setting HyperParameters for YOLO8.vtt

8.21 KB

10. Video Object Detection in Real-time/03. Training YOLO8 on Vehicles Dataset.mp4

42.5 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

107.46 MB

10. Video Object Detection in Real-time/04. Testing YOLO8 on Videos and Images.vtt

8.28 KB

10. Video Object Detection in Real-time/05. Calculate Performance Metrics (Precision, Recall, Mean Average Precision mAP).mp4

54.39 MB

10. Video Object Detection in Real-time/05. Calculate Performance Metrics (Precision, Recall, Mean Average Precision mAP).vtt

8.46 KB

10. Video Object Detection in Real-time/06. Export and Deploy the Model.mp4

31.57 MB

10. Video Object Detection in Real-time/06. Export and Deploy the Model.vtt

3.36 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

24.55 MB

10. Video Object Detection in Real-time/assets/VehiclesDetection-Dataset.zip

38.08 MB

10. Video Object Detection in Real-time/assets/VehiclesDetection.ipynb

1 MB

11. Overview of RCNN Family for Object Detection/01. Overview of RCNN Family for Object Detection.mp4

147.34 MB

11. Overview of RCNN Family for Object Detection/01. Overview of RCNN Family for Object Detection.vtt

30.51 KB

12. Detectron2 for Ojbect Detection/01. Detectron2 for Ojbect Detection with PyTorch.mp4

160.41 MB

12. Detectron2 for Ojbect Detection/01. Detectron2 for Ojbect Detection with PyTorch.vtt

22.7 KB

12. Detectron2 for Ojbect Detection/02. Perform Object Detection using Detectron2 Pretrained Models.mp4

137.03 MB

12. Detectron2 for Ojbect Detection/02. Perform Object Detection using Detectron2 Pretrained Models.vtt

12.47 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

13.29 MB

13. Training, Evaluating and Visualizing Object Detection on Custom Dataset/01. Custom Dataset for Object Detection.mp4

88.38 MB

13. Training, Evaluating and Visualizing Object Detection on Custom Dataset/01. Custom Dataset for Object Detection.vtt

15.69 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

153.42 MB

13. Training, Evaluating and Visualizing Object Detection on Custom Dataset/03. Train, Evaluate Object Detection Models & Visualizing Results on Custom Dataset.vtt

16.37 KB

13. Training, Evaluating and Visualizing Object Detection on Custom Dataset/04. Python and PyTorch Code.html

9.18 KB

13. Training, Evaluating and Visualizing Object Detection on Custom Dataset/assets/balloon.zip

36.87 MB

13. Training, Evaluating and Visualizing Object Detection on Custom Dataset/assets/Object-Detection-On-Custom-Dataset.ipynb

15.68 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

36.87 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

33.03 MB

15. 3. Semantic Segmentation Task Of Computer Vision/01. Semantic Segmentation Task Of Computer Vision with Pytorch and Python.vtt

7.27 KB

15. 3. Semantic Segmentation Task Of Computer Vision/02. Semantic Segmentation Real-World Applications.mp4

144.43 MB

15. 3. Semantic Segmentation Task Of Computer Vision/02. Semantic Segmentation Real-World Applications.vtt

13.96 KB

16. Deep Learning Architectures For Segmentation (UNet, PSPNet, PAN)/01. Pyramid Scene Parsing Network (PSPNet) For Segmentation.mp4

24.42 MB

16. Deep Learning Architectures For Segmentation (UNet, PSPNet, PAN)/01. Pyramid Scene Parsing Network (PSPNet) For Segmentation.vtt

5.85 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

4.78 KB

16. Deep Learning Architectures For Segmentation (UNet, PSPNet, PAN)/03. Pyramid Attention Network (PAN).mp4

17.68 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

23.83 MB

16. Deep Learning Architectures For Segmentation (UNet, PSPNet, PAN)/04. Multi-Task Contextual Network (MTCNet).vtt

5.53 KB

17. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/01. Datasets for Semantic Segmentation.mp4

41.4 MB

17. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/01. Datasets for Semantic Segmentation.vtt

7.16 KB

17. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/02. Data Annotations Tool for Semantic Segmentation.mp4

50.38 MB

17. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/02. Data Annotations Tool for Semantic Segmentation.vtt

6.94 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

109.58 MB

17. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/04. Data Loading with PyTorch Customized Dataset Class.vtt

22.94 KB

17. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/05. Data Loading for Segmentation with Python and PyTorch Code.html

6.78 KB

17. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/06. Data Augmentation using Albumentations with Different Transformations.mp4

64.25 MB

17. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/06. Data Augmentation using Albumentations with Different Transformations.vtt

12.66 KB

17. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/07. Augmentation Python Code.html

2.75 KB

17. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/08. Learn To Implement Data Loaders In Pytorch.mp4

17.02 MB

17. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/08. Learn To Implement Data Loaders In Pytorch.vtt

6.38 KB

17. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/assets/TrayDataset-for-Segmentation.zip

18.63 MB

18. Performance Metrics (IOU) For Segmentation Models Evaluation/01. Performance Metrics (IOU, Pixel Accuracy, Precision, Recall, Fscore).mp4

61.01 MB

18. Performance Metrics (IOU) For Segmentation Models Evaluation/01. Performance Metrics (IOU, Pixel Accuracy, Precision, Recall, Fscore).vtt

13.07 KB

18. Performance Metrics (IOU) For Segmentation Models Evaluation/02. Code (Python and PyTorch).html

18.32 KB

19. Encoders and Decoders For Segmentation In PyTorch/01. Transfer Learning And Pretrained Deep Resnet Architecture.mp4

35.19 MB

19. Encoders and Decoders For Segmentation In PyTorch/01. Transfer Learning And Pretrained Deep Resnet Architecture.vtt

10.36 KB

19. Encoders and Decoders For Segmentation In PyTorch/02. Encoders for Segmentation with PyTorch Liberary.mp4

19.88 MB

19. Encoders and Decoders For Segmentation In PyTorch/02. Encoders for Segmentation with PyTorch Liberary.vtt

13.14 KB

19. Encoders and Decoders For Segmentation In PyTorch/03. Decoders for Segmentation in PyTorch Liberary.mp4

26.66 MB

19. Encoders and Decoders For Segmentation In PyTorch/03. Decoders for Segmentation in PyTorch Liberary.vtt

12.74 KB

20. Implementation, Optimization and Training Of Segmentation Models/01. Implement Segmentation Models (UNet, PSPNet, DeepLab, PAN, and UNet++).mp4

197.73 MB

20. Implementation, Optimization and Training Of Segmentation Models/01. Implement Segmentation Models (UNet, PSPNet, DeepLab, PAN, and UNet++).vtt

20.3 KB

20. Implementation, Optimization and Training Of Segmentation Models/02. Segmentation Models Code with Python.html

1.02 KB

20. Implementation, Optimization and Training Of Segmentation Models/03. Learn To Optimize Hyperparameters For Segmentation Models.mp4

16.46 MB

20. Implementation, Optimization and Training Of Segmentation Models/03. Learn To Optimize Hyperparameters For Segmentation Models.vtt

10.41 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

52.82 MB

20. Implementation, Optimization and Training Of Segmentation Models/05. Training of Segmentation Models.vtt

11.55 KB

20. Implementation, Optimization and Training Of Segmentation Models/06. Model Training Code (Python And PyTorch).html

11.27 KB

21. Test Models and Visualize Segmentation Results/01. Test Models and Calculate IOU,Pixel Accuracy,Fscore.mp4

113.45 MB

21. Test Models and Visualize Segmentation Results/01. Test Models and Calculate IOU,Pixel Accuracy,Fscore.vtt

15.51 KB

21. Test Models and Visualize Segmentation Results/02. Test Models and Calculate Performance Scores (Python Code).html

10.87 KB

21. Test Models and Visualize Segmentation Results/03. Visualize Segmentation Results and Generate RGB Segmented Map.mp4

85.96 MB

21. Test Models and Visualize Segmentation Results/03. Visualize Segmentation Results and Generate RGB Segmented Map.vtt

16.34 KB

21. Test Models and Visualize Segmentation Results/04. Segmentation Results Visualization (Python Code).html

2.66 KB

22. Complete Code and Dataset for Semantic Segmentation/01. Final Code Review.mp4

24.42 MB

22. Complete Code and Dataset for Semantic Segmentation/01. Final Code Review.vtt

4.05 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

938.88 KB

22. Complete Code and Dataset for Semantic Segmentation/assets/Lecture-3-TrayDataset-for-Segmentation.zip

18.63 MB

23. 4. Instance Segmentation Task of Computer Vision/01. Instance Segmentation Task of Computer Vision with Python.mp4

30.94 MB

23. 4. Instance Segmentation Task of Computer Vision/01. Instance Segmentation Task of Computer Vision with Python.vtt

6.22 KB

24. Mask RCNN for Instance Segmentation/01. Mask RCNN for Instance Segmentation.mp4

16.83 MB

24. Mask RCNN for Instance Segmentation/01. Mask RCNN for Instance Segmentation.vtt

5.32 KB

25. Training, Evaluating and Visualizing Instance Segmentation on Custom Dataset/01. Custom Dataset for Instance Segmentation.mp4

86.08 MB

25. Training, Evaluating and Visualizing Instance Segmentation on Custom Dataset/01. Custom Dataset for Instance Segmentation.vtt

15.8 KB

25. Training, Evaluating and Visualizing Instance Segmentation on Custom Dataset/02. Train, Evaluate Instance Segmentation Model & Visualizing Results on Custom Data.mp4

174.01 MB

25. Training, Evaluating and Visualizing Instance Segmentation on Custom Dataset/02. Train, Evaluate Instance Segmentation Model & Visualizing Results on Custom Data.vtt

23.1 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

36.87 MB

26. Complete Code and Custom Dataset for Instance Segmentation/assets/Instance-Segmentation-on-Custom-Dataset.zip

6.39 MB

27. Video Instance Segmentation/01. Intro to Video Instance Segmentation.mp4

35.29 MB

27. Video Instance Segmentation/01. Intro to Video Instance Segmentation.vtt

5.38 KB

27. Video Instance Segmentation/02. YOLO8 for Video Instance Segmentation.mp4

55.87 MB

27. Video Instance Segmentation/02. YOLO8 for Video Instance Segmentation.vtt

16.72 KB

27. Video Instance Segmentation/03. Custom Dataset for Instance Segmentation.mp4

28.92 MB

27. Video Instance Segmentation/03. Custom Dataset for Instance Segmentation.vtt

6.38 KB

27. Video Instance Segmentation/04. Setting-up Hyper Parameters for Model.mp4

23.51 MB

27. Video Instance Segmentation/04. Setting-up Hyper Parameters for Model.vtt

7.85 KB

27. Video Instance Segmentation/05. Training Video Instance Segmentation Model.mp4

57.29 MB

27. Video Instance Segmentation/05. Training Video Instance Segmentation Model.vtt

7.07 KB

27. Video Instance Segmentation/06. Testing Segmentation Model on Images.mp4

27.57 MB

27. Video Instance Segmentation/06. Testing Segmentation Model on Images.vtt

4.63 KB

27. Video Instance Segmentation/07. Testing Segmentation Model on Videos.mp4

42.69 MB

27. Video Instance Segmentation/07. Testing Segmentation Model on Videos.vtt

6.24 KB

27. Video Instance Segmentation/08. Deploy Video Segmentation Model.mp4

17.89 MB

27. Video Instance Segmentation/08. Deploy Video Segmentation Model.vtt

3.32 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

363.38 KB

27. Video Instance Segmentation/assets/TestVideos.zip

37.81 MB

27. Video Instance Segmentation/assets/VehicleSegmentation.zip

3.21 MB

28. Bonus Lecture Video Object Detection and Video Segmentation with Python/01. Bonus Lecture Video Object Detection and Video Segmentation with Python.html

4.46 KB

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