What you'll learn

Basic concepts about keyframe animations like keyframes and interpolation

Create a basic animation in Krita to then export the animation data to a json file

Use Tensorflow JS with PoseNet to read the poses of a human body from a multimedia file

Create a Python script that reads the pose data to create animated armature to recreate the source material.

Execute the script in the scripting section provided by Blender

Requirements

You must be familiar with scripting; however, anyone can follow it as each step is explained.

Blender v 3 and above

Visual Studio Code. This is optional since Blender provide his own editor

Krita 5

Pre-trained TensorFlow JS models

Description

Hello and welcome.If you are a designer or developer who is interested in create pose-to-pose animations in a 3D environment with the possibilities to automate the process, this course is for you.This course focuses on creating multiple Python scripts that will help us to read pose information from external sources like pictures and video and use it to create an animated armature.For this, we will mainly use Blender as the 3D Editor and Python to create the scripts.With Python, we will read JSON files that contains information about the positions of the limbs and time marks that can help us to identify keyframes.With Blender, we will run the script to create an armature with an animation that recreate the poses from the original source.We will also use Krita and Tensorflow to get the pose information that we will be using through the course.You may like this course because it can help you save time when you want to create 3D animations.In addition, you will have access to the content created during the course.I hope you find the content useful and that you can apply it to your personal projects.Have fun and happy learning.In this course you will learn:Basic concepts about keyframe animations like keyframes and interpolationCreate a basic animation in Krita to then export the animation data to a json fileUse Tensorflow JS with PoseNet to read the poses of a human body from a multimedia fileCreate a Python script that reads the pose data to create animated armature to recreate the source material.Execute the script in the scripting section provided by BlenderYou will require:You must be familiar with scripting; however, anyone can follow it as each step is explained.Blender v 3 and aboveVisual Studio Code. This is optional since Blender provide his own editorKrita 5Pre-trained TensorFlow JS models

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Data source

Lecture 3 Basic concepts

Lecture 4 Software

Section 2: Manual pose data from Krita

Lecture 5 Introduction

Lecture 6 Importing the reference

Lecture 7 Creating pose-to-pose animation

Lecture 8 Copy data to a json file

Lecture 9 Get the rest of the information

Section 3: Coding the data reader

Lecture 10 Introduction

Lecture 11 Loading the json files

Lecture 12 Creating the bones

Lecture 13 Executing the code in Blender

Section 4: Adjusting the code

Lecture 14 Introduction

Lecture 15 Size and position

Lecture 16 Executing the changes. Pt 1

Lecture 17 Controls and Inverse kinematic

Lecture 18 Executing the changes. Pt 2

Lecture 19 Animation

Lecture 20 Executing the changes. Pt 3

Section 5: Getting pose data from Tensorflow

Lecture 21 Introduction

Lecture 22 Videos for the poses

Lecture 23 Installing examples

Lecture 24 Modifying pose detection example

Lecture 25 Using the example

Lecture 26 JSON File

Section 6: Reading the Tensorflow data

Lecture 27 Introduction

Lecture 28 Loading the json files

Lecture 29 Creating the center bones

Lecture 30 Rearranging the source data

Lecture 31 Creating bones with custom function

Lecture 32 Creating the rest of the bones

Lecture 33 Code fix

Lecture 34 Executing the changes. Pt 1

Lecture 35 Correcting the bone positions

Lecture 36 Executing the changes. Pt 2

Section 7: Animating the armature

Lecture 37 Introduction

Lecture 38 Creating controller with custom function

Lecture 39 Creating the controllers

Lecture 40 Creating IK with custom function

Lecture 41 Creating the IK

Lecture 42 Creating position keyframes with custom function

Lecture 43 Creating the position keyframes

Lecture 44 Executing the changes. Pt 1

Lecture 45 Animating the center of the body

Lecture 46 Executing the changes. Pt 2

Section 8: Creating the armature

Lecture 47 Introduction

Lecture 48 Base structure

Lecture 49 Bone Names

Lecture 50 Assigning a model. Pt 1

Lecture 51 Assigning a model. Pt 2

Section 9: Reusing a Blender armature

Lecture 52 Introduction

Lecture 53 Reading data from the scene

Lecture 54 Executing the changes. Pt 1

Lecture 55 Adapting the existing data. Pt 1

Lecture 56 Adapting the existing data. Pt 2

Lecture 57 Adapting the existing data. Pt 3

Lecture 58 Getting the original pose

Lecture 59 Executing the changes. Pt 2

Section 10: Adjusting the armature and animation

Lecture 60 Introduction

Lecture 61 Angle. Pt 1

Lecture 62 Angle. Pt 2

Lecture 63 Rotation

Lecture 64 Rotation Keyframe

Lecture 65 Interpolation

Section 11: Animated Model

Lecture 66 Articulated doll poses

Lecture 67 Camera recording poses

Section 12: Final Message

Lecture 68 Final Message

3D designers or programmers who want to automate tasks to create complex 3D animations.