
你将学到什么
关于关键帧动画的基本概念,如关键帧和插值
在 Krita 中创建一个基本动画,然后将动画数据导出到 json 文件
使用 Tensorflow JS 和 PoseNet 从多媒体文件中读取人体姿势
创建一个 Python 脚本,它读取姿势数据以创建动画骨架以重新创建源材料。
执行 Blender 提供的脚本部分中的脚本
如果您是一名设计师或开发人员,有兴趣在 3D 环境中创建姿势到姿势的动画并有可能使该过程自动化,那么本课程适合您。
本课程的重点是创建多个 Python 脚本,这些脚本将帮助我们从图片和视频等外部来源读取姿势信息,并使用它来创建动画骨架。
为此,我们将主要使用 Blender 作为 3D 编辑器和 Python 来创建脚本。
使用 Python,我们将读取 JSON 文件,其中包含有关肢体位置和时间标记的信息,这些信息可以帮助我们识别关键帧。
使用 Blender,我们将运行脚本来创建一个带有动画的骨架,从原始来源重新创建姿势。
我们还将使用 Krita 和 Tensorflow 来获取我们将在整个课程中使用的姿势信息。
您可能会喜欢这门课程,因为它可以帮助您在创建 3D 动画时节省时间。
此外,您还可以访问在课程中创建的内容。
我希望您觉得这些内容有用,并且可以将其应用到您的个人项目中。
Duration 2h 23m Project Files Included MP4
Keyframe animation with Python & Blender
Info:
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
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.
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