Deep Learning for Image Segmentation with Python & Pytorch

سرفصل های دوره

Image Semantic Segmentation for Computer Vision with PyTorch & Python to Train & Deploy YOUR own Models (UNet, DeepLab)

1 - Introduction to Course

1 - Introduction

2 - Semantic Segmentation and its Realworld Applications

2 - What is Semantic Segmentation

3 - Semantic Segmentation Realworld Applications

3 - Deep Learning Architectures for Segmentation UNet PSPNet PAN MTCNet

4 - Pyramid Scene Parsing Network PSPNet for Segmentation

5 - UNet Architecture for Segmentation

6 - Pyramid Attention Network PAN for Segmentation

7 - MultiTask Contextual Network MTCNet for Segmentation

4 - Datasets and Data Annotations Tool for Semantic Segmentation

8 - Explore Datasets and Data Annotations Tool for Semantic Segmentation

9 - Data Annotations Tool for Semantic Segmentation

5 - Google Colab Settingup for Writing Python Code

10 - Setup Google Colab for Writing Python and PyTorch Code

11 - Connect Google Colab with Google Drive to Read and Write Data

6 - Customized Dataset Class Implementation in PyTorch for Data Loading

12 - Data Loading with PyTorch Customized Dataset Class

7 - Data Augmentation with Albumentations

13 - Perform Data Augmentation using Albumentations with different Transformations

8 - Data Loaders Implementation in Pytorch

14 - Learn to Implement Data Loaders in Pytorch

9 - Performance Metrics IOU for Segmentation Models Evaluation

15 - Performance Metrics IOU Pixel Accuracy for Segmentation Models Evaluation

10 - Transfer Learning and Pretrained Deep Resnet Architecture

16 - Learn Transfer Learning and Pretrained Deep Resnet Architecture

11 - Encoders for Segmentation in PyTorch

17 - Pretrained Encoders for Semantic Segmentation in PyTorch

12 - Decoders for Segmentation in PyTorch

18 - Decoders for Semantic Segmentation in PyTorch

13 - Implement Segmentation Models UNet PSPNet DeepLab PAN UNet using PyTorch

19 - Segmentation Models Implementation in PyTorch using different Encoder Decoder

14 - Hyperparameters Optimization of Segmentation Models

20 - Learn to Optimize Hyperparameters for Semantic Segmentation Models

15 - Training of Segmentation Models

21 - Train Defined Semantic Segmentation Models

16 - Test Segmentation Models Calculate IOU Classwise IOU Pixel Accuracy Metrics

22 - Run Test Segmentation Models and Calculate Classwise IOU Accuracy Fscore

17 - Visualize Segmentation Results and Generate RGB Output Segmentation Map

23 - Visualize Segmentation Results and Generate RGB Predicted Segmentation Map

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تولید کننده: Udemy-Training