Synthetic Dataset using Blender+Python: Part 2
Rendering the dataset
Now that we are comfortable with the Blender starters, we can start using Python to automate some of its aspects and generate a synthetic dataset.
This message, related to the development of the theme, only displays on the
localhost
homepage to notify you of any important theme changes.
With this version, the theme has fully implemented static search using
lunr.js
. That being said, a few modifications were necessary to implement this
feature.
To utilize this, or future version of Hugo Future Imperfect Slim, please make the following changes:
config.toml
before [params]
:...
disableLanguages = [""]
[outputs]
home = ["html", "json"]
[params]
...
Remove the underscore from all about
and contact
page file names:
_index.md --> index.md
Add layout = "about"
or layout = "contact"
to all of the files you just
just adjusted the file names for.
While I realize this is inconvenient, I hope that it is worth it to you in the long run. Thanks for using the theme, and feel free to submit issues as needed.
AI | ML | Books | Movies | Music
Rendering the dataset
Now that we are comfortable with the Blender starters, we can start using Python to automate some of its aspects and generate a synthetic dataset.
Exploring Basic Blender Functionalities
The tutorial explores basic functionalities of Blender that are required for our goal: generating synthetic dataset using Blender+Python. Blender can do pretty much anything related to graphic manipulation, from Sculpting to VFX, Blender has you covered.
Step-by-step guide to dual boot with Focal Fossa and my experience.
The article shares my experience of the attempt to dual-boot Ubuntu 20.04 on Lenovo Thinkpad L13 Yoga.