Unreal Image Generation and Segmentation ML with Python

سرفصل های دوره

Build machine learning models from Unreal image datasets!

1. 00a Course Overview

1. 01 Project Preview

2. 01B What Youll Need - Unreal Machine Learning

3. 02 What Is Machine Learning

4. 03 Types Of Machine Learning Models

5. 04 What Are Computer Vision And Image Segmentation

6.1 Source Files.zip

6. Source Files.html

2. 00b Unreal Introduction

1. 00 What Is Unreal Engine 5

2. 01 How To Install UE5

3. 02 How To Debug Unreal

4.1 Source Files.zip

4. Source Files.html

3. 01 Build a New Unreal Project

1. Create new Project

2.1 01 Build a New Unreal Project.zip

2. Source Files.html

4. 02 Build Random Levels Automatically with Procedural Generation

1. 01 Build A New Unreal Project

2. 02 Build More Tiles

3. 03 Build A Blueprint To Randomly Place Tiles

4. 04 Build A Grid With The Blueprint

5. 05 Get A Random Tile

6. 06 Set Each Tile Position And Rotation

7. 07 Set Each Instance Name

8.1 04 Source Files.zip

8.2 05 Source Files.zip

8.3 06 Source Files.zip

8.4 07 Source Files.zip

8. Source Files.html

5. 03 Add Realism to the Procedural Level

1. 01 Add Ground Material To Each Tile

2. 02 Add Environment Models

3. 03 Build Flat Materials For Image Segmentation

4.1 01 Add Ground Material to Each Tile.zip

4.2 02 Add Environment Models.zip

4.3 03 Build Flat Materials for Image Segmentation.zip

4. Source Files.html

6. 04 Build a Blueprint to Enter Segmented View

1. 01 Build Input Action

2. 02 Build Press And Release Conditions

3. 03 Build A Materials Data Table

4. 04 Build A Blueprint To Switch Materials

5.1 01 source files.zip

5.2 02 source files.zip

5.3 03 source files.zip

5.4 04 source files.zip

5. Source Files.html

7. 05 Screenshot the Game via Blueprint

1. 01 Screenshot The Game Via Blueprint

2. 02 Make Third Person Character Invisible

3.1 01 source files.zip

3.2 WindowsEditor.zip

3. Source Files.html

8. 06 Deep Learning Introduction

1. 01 What Is Deep Learning

2.1 Source Files.zip

2. Source Files.html

9. 07 Introduction to Python (Prerequisite)

1. 00. Intro To Course And Python

2. 01. Variables

3. 02. Type Conversion Examples

4. 03. Operators

5. 04. Collections

6. 05. List Examples

7. 06. Tuples Examples

8. 08. Ranges Examples

9. 09. Conditionals

10. 10. If Statement Examples

11. 11. Loops

12. 12. Functions

13. 13. Parameters And Return Values Examples

14. 14. Classes And Objects

15. 15. Inheritance Examples

16. 16. Static Members Examples

17. 17. Summary And Outro

18.1 Source Code.zip

18. Source Files.html

10. 07b Neural Networks Introduction

1. 01 What Is A Neural Network

2. 02 What Is Supervised Learning

3. 03 How Does A Machine Learning Agent Learn

4. 04 How To Prepare Data

5. 05 Performance Of A Machine Learning Algorithm

6.1 Source Files.zip

6. Source Files.html

11. 08 Prepare Data For Image Segmentation

1. 01 Load Data For Image Segmentation

2. 02 Normalize Images

3. 03 Load Training Images

4. 04 Load Testing Images

5. 05 Prepare Data For Image Segmentation

6. 06 Visualize Images And Masks

7.1 Source Files.zip

7. Source Files.html

12. 09 Build A Neural Network For Image Segmentation

1. 01 How Do You Build A Neural Network For Image Segmentation

2. 02 Set Up A Neural Network

3. 03 Build Neural Network Layers

4. 03B What Is The Adam Optimizer

5. 04 Compile Optimizer And Loss

6.1 Source Files.zip

6. Source Files.html

13. 10 Train And Test Image Segmentation

1. 01 Build A Mask

2. 02 Visualize Model Progress

3. 03 Visualize Model Results

4. 04 Plot Model Accuracy

5. 05 Test The Neural Network

6.1 Source Files.zip

6. Source Files.html

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تولید کننده: Udemy-Training