Category: software
TurboSquid move towards supporting AI against its own policies
https://www.turbosquid.com/ai-3d-generator
The AI is being trained using a mix of Shutterstock 2D imagery and 3D models drawn from the TurboSquid marketplace. However, it’s only being trained on models that artists have approved for this use.
People cannot generate a model and then immediately sell it. However, a generated 3D model can be used as a starting point for further customization, which could then be sold on the TurboSquid marketplace. However, models created using our generative 3D tool—and their derivatives—can only be sold on the TurboSquid marketplace.
TurboSquid does not accept AI-generated content from our artists
As AI-powered tools become more accessible, it is important for us to address the impact AI has on our artist community as it relates to content made licensable on TurboSquid. TurboSquid, in line with its parent company Shutterstock, is taking an ethically responsible approach to AI on its platforms. We want to ensure that artists are properly compensated for their contributions to AI projects while supporting customers with the protections and coverage issued through the TurboSquid license.
In order to ensure that customers are protected, that intellectual property is not misused, and that artists’ are compensated for their work, TurboSquid will not accept content uploaded and sold on our marketplace that is generated by AI. Per our Publisher Agreement, artists must have proven IP ownership of all content that is submitted. AI-generated content is produced using machine learning models that are trained using many other creative assets. As a result, we cannot accept content generated by AI because its authorship cannot be attributed to an individual person, and we would be unable to ensure that all artists who were involved in the generation of that content are compensated.
Tatev Aslanyan – Machine Learning for Beginners 2024: Theory to Practice with Python Project
Especially Crafted For:
- Budding Data Scientists and Python enthusiasts
- Innovators in Machine Learning and AI fields
- Engineers looking to transition into ML roles
- Product Managers eager to incorporate ML insights
- Educational pioneers and high school students exploring tech
- Anyone intrigued by the potential of ML and Python
Vahan Sosoyan MakeHDR – an OpenFX open source plug-in for merging multiple LDR images into a single HDRI
https://github.com/Sosoyan/make-hdr
Feature notes
- Merge up to 16 inputs with 8, 10 or 12 bit depth processing
- User friendly logarithmic Tone Mapping controls within the tool
- Advanced controls such as Sampling rate and Smoothness
Available at cross platform on Linux, MacOS and Windows Works consistent in compositing applications like Nuke, Fusion, Natron.
Tim Peters – the Zen of Python
A Zen of Python is a list of 19 guiding principles for writing beautiful code. Zen of Python was written by Tim Peters and later added to Python.
Here is how you can access the Zen of Python.
import this
print(this)
Output:
The Zen of Python, by Tim Peters
- Beautiful is better than ugly.
- Explicit is better than implicit.
- Simple is better than complex.
- Complex is better than complicated.
- Flat is better than nested.
- Sparse is better than dense.
- Readability counts.
- Special cases aren’t special enough to break the rules.
- Although practicality beats purity.
- Errors should never pass silently.
- Unless explicitly silenced.
- In the face of ambiguity, refuse the temptation to guess.
- There should be one– and preferably only one –obvious way to do it.
- Although that way may not be obvious at first unless you’re Dutch.
- Now is better than never.
- Although never is often better than *right* now.
- If the implementation is hard to explain, it’s a bad idea.
- If the implementation is easy to explain, it may be a good idea.
- Namespaces are one honking great idea — let’s do more of those!
CupiX Vista – reconstruct environments from off the shelf 360 cameras
CupixVista is a new Al that can convert 360° video footage into the 3D map and virtual tour.
Rafael Perez – RIFE, an interpolation retimer for Nuke
This project implements RIFE – Real-Time Intermediate Flow Estimation for Video Frame Interpolation for The Foundry’s Nuke.
RIFE is a powerful frame interpolation neural network, capable of high-quality retimes and optical flow estimation.
This implementation allows RIFE to be used natively inside Nuke without any external dependencies or complex installations. It wraps the network in an easy-to-use Gizmo with controls similar to those in OFlow or Kronos.
https://github.com/rafaelperez/RIFE-for-Nuke
Thomas Mansencal – Colour Science for Python
https://thomasmansencal.substack.com/p/colour-science-for-python
https://www.colour-science.org/
Colour is an open-source Python package providing a comprehensive number of algorithms and datasets for colour science. It is freely available under the BSD-3-Clause terms.
Runway Multi Motion Brush to animate stills
https://runwayml.com/
Paul d’Herbermont – Nuke HDRI model detection with TorchScript
A tool that detects, crops, and presents reference & cg spheres
https://www.patreon.com/posts/nuke-auto-ai-96524139
Nuke KnobScripter v3 – Full Tool Overview
Website link: https://lnkd.in/dr7Xv5C9
Nukepedia: https://lnkd.in/dfRuVtJ8
Github: https://lnkd.in/drXeHcn
