A Maya script that introduces a node-based graph system for procedural modeling, like Houdini
https://github.com/AnthonySTZ/ProceduralMaya

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A Maya script that introduces a node-based graph system for procedural modeling, like Houdini
https://github.com/AnthonySTZ/ProceduralMaya
https://www.freecodecamp.org/news/train-your-own-llm
Ever wondered how large language models like ChatGPT are actually built? Behind these impressive AI tools lies a complex but fascinating process of data preparation, model training, and fine-tuning. While it might seem like something only experts with massive resources can do, it’s actually possible to learn how to build your own language model from scratch. And with the right guidance, you can go from loading raw text data to chatting with your very own AI assistant.
https://www.comfydeploy.com/docs/v2/introduction
1 – Import your workflow
2 – Build a machine configuration to run your workflows on
3 – Download models into your private storage, to be used in your workflows and team.
4 – Run ComfyUI in the cloud to modify and test your workflows on cloud GPUs
5 – Expose workflow inputs with our custom nodes, for API and playground use
6 – Deploy APIs
7 – Let your team use your workflows in playground without using ComfyUI
While in ZBrush, call up your image editing package and use it to modify the active ZBrush document or tool, then go straight back into ZBrush.
ZAppLink can work on different saved points of view for your model. What you paint in your image editor is then projected to the model’s PolyPaint or texture for more creative freedom.
With ZAppLink you can combine ZBrush’s powerful capabilities with all the painting power of the PSD-capable 2D editor of your choice, making it easy to create stunning textures.
https://mamba.readthedocs.io/en/latest/user_guide/micromamba.html
https://mamba.readthedocs.io/en/latest/installation/micromamba-installation.html
https://micro.mamba.pm/api/micromamba/win-64/latest
https://prefix.dev/docs/mamba/overview
With mamba, it’s easy to set up software environments
. A software environment is simply a set of different libraries, applications and their dependencies. The power of environments is that they can co-exist: you can easily have an environment called py27 for Python 2.7 and one called py310 for Python 3.10, so that multiple of your projects with different requirements have their dedicated environments. This is similar to “containers” and images. However, mamba makes it easy to add, update or remove software from the environments.
Download the latest executable from https://micro.mamba.pm/api/micromamba/win-64/latest
You can install it or just run the executable to create a python environment under Windows:
micromamba.exe create -n myenv python=3.10
This will create a myenv allocation under:
C:\Users\<USERNAME>\AppData\Roaming\mamba\envs\myenv
Once the environment is created, activate it with:
micromamba activate myenv
Or to execute a single command in this environment, use:
micromamba run -n myenv mycommand
NOTE if you get an error such as:
critical libmamba Shell not initialized
'micromamba' is running as a subprocess and can't modify the parent shell.
Thus you must initialize your shell before using activate and deactivate.
The error means your shell hasn’t been hooked for Micromamba activation, so micromamba activate
can’t modify the parent cmd.exe
process.
To solve this:
1- set an environment variable for mamba to point to where the install is, ie:
setx MAMBA_ROOT_PREFIX "H:\AppData\Roaming\mamba"
This may not be needed, but to check if your full install worked, from a command prompt enter: set
You will likely see something like:
MAMBA_BAT=C:\Users\<USER_NAME>.local\share\mamba\condabin\micromamba.bat
MAMBA_EXE=C:\SOFTWARE\MicroMamba\Library\bin\micromamba.exe
These are defined by your micromamba.bat install under:
C:\Users\<USER_NAME>\.local\share\mamba\condabin
Inside this file, there is a pointer to where micromamba is running from:
@REM Copyright (C) 2012 Anaconda, Inc
@REM SPDX-License-Identifier: BSD-3-Clause
@REM Replaced by mamba executable with the MAMBA_EXE and MAMBA_ROOT_PREFIX variable pointing
@REM to the correct locations.
@SET "MAMBA_EXE=M:\SOFTWARE\MicroMamba\Library\bin\micromamba.exe"
@SET "MAMBA_ROOT_PREFIX=C:\Users\YOURNAME\.local\share\mamba"
@IF [%1]==[activate] "%~dp0_micromamba_activate" %*
@IF [%1]==[deactivate] "%~dp0_micromamba_activate" %*
@CALL "%MAMBA_EXE%" %*
@IF %errorlevel% NEQ 0 EXIT /B %errorlevel%
@IF [%1]==[install] "%~dp0_micromamba_activate" reactivate
@IF [%1]==[update] "%~dp0_micromamba_activate" reactivate
@IF [%1]==[upgrade] "%~dp0_micromamba_activate" reactivate
@IF [%1]==[remove] "%~dp0_micromamba_activate" reactivate
@IF [%1]==[uninstall] "%~dp0_micromamba_activate" reactivate
@IF [%1]==[self-update] @CALL DEL /f %MAMBA_EXE%.bkup
@EXIT /B %errorlevel%
2- start a new shell and activate that env variable:
micromamba shell init --shell cmd.exe
That should allow to run the venv as needed.
To add a Windows shortcut to launching the micromamba environment:
C:\Windows\System32\cmd.exe /K micromamba activate myenv
The taskbar files under windows are located here:
C:\Users\<USER_NAME>\AppData\Roaming\Microsoft\Internet Explorer\Quick Launch\User Pinned\TaskBar
or
H:\AppData\Roaming\Microsoft\Internet Explorer\Quick Launch\User Pinned\TaskBar
https://huggingface.co/collections/nvidia/physical-ai-67c643edbb024053dcbcd6d8
🔹 15TB of high-quality, standardized synthetic data
🔹 320,000+ trajectories for robotics training
🔹 1,000+ OpenUSD assets, including a SimReady collection
https://learn.microsoft.com/en-us/windows/wsl/install
The Windows Subsystem for Linux (WSL) is a feature of the Windows operating system that enables you to run a Linux file system, along with Linux command-line tools and GUI apps, directly on Windows, alongside your traditional Windows desktop and apps.
https://ubuntu.com/desktop/wsl
https://www.independent.co.uk/tech/ai-playstation-characters-sony-ps5-chatgpt-b2712813.html
A demo video, first reported by The Verge, showed an AI version of the character Aloy from the Playstation game Horizon Forbidden West conversing through voice prompts during gameplay on the PS5 console.
The character’s facial expressions are also powered by Sony’s advanced AI software Mockingbird, while the speech artificially replicates the voice of the actor Ashly Burch.
https://www.amazon.ca/Blink-Eye-Revised-2nd/dp/1879505622
Celebrated film editor Walter Murch’s vivid, multifaceted, thought-provoking essay on film editing. Starting with the most basic editing question — Why do cuts work? — Murch takes the reader on a wonderful ride through the aesthetics and practical concerns of cutting film. Along the way, he offers unique insights on such subjects as continuity and discontinuity in editing, dreaming, and reality; criteria for a good cut; the blink of the eye as an emotional cue; digital editing; and much more. In this second edition, Murch revises his popular first edition’s lengthy meditation on digital editing in light of technological changes. Francis Ford Coppola says about this book: “Nothing is as fascinating as spending hours listening to Walter’s theories of life, cinema and the countless tidbits of wisdom that he leaves behind like Hansel and Gretel’s trail of breadcrumbs…….”
This paper presents an introduction to the color pipelines behind modern feature-film visual-effects and animation.
Authored by Jeremy Selan, and reviewed by the members of the VES Technology Committee including Rob Bredow, Dan Candela, Nick Cannon, Paul Debevec, Ray Feeney, Andy Hendrickson, Gautham Krishnamurti, Sam Richards, Jordan Soles, and Sebastian Sylwan.
The VFX Reference Platform is a set of tool and library versions to be used as a common target platform for building software for the VFX industry. Its purpose is to minimise incompatibilities between different software packages, ease the support burden for integrated pipelines and encourage further adoption of Linux by both studios and software vendors. The Reference Platform is updated annually by a group of software vendors in collaboration with the Visual Effects Society Technology Committee.
Each annual reference platform is designated by the calendar year in which major product releases should be targeting that particular reference.
Depth Map: A depth map is a representation of the distance or depth information for each pixel in a scene. It is typically a two-dimensional array where each pixel contains a value that represents the distance from the camera to the corresponding point in the scene. The depth values are usually represented in metric units, such as meters. A depth map provides a continuous representation of the scene’s depth information.
For example, in Arnold this is achieved through a Z AOV, this collects depth of the shading points as seen from the camera.
https://help.autodesk.com/view/ARNOL/ENU/?guid=arnold_user_guide_ac_output_aovs_ac_aovs_html
https://help.autodesk.com/view/ARNOL/ENU/?guid=arnold_for_3ds_max_ax_aov_tutorials_ax_zdepth_aov_html
https://github.com/SMPTE/ris-osvp-metadata-camdkit
Today camdkit
supports mapping (or importing, if you will) of metadata from five popular digital cinema cameras into a canonical form; it also supports a mapping of the metadata defined in the F4 protocol used by tracking system components from Mo-Sys.
OpenTrackIO defines the schema of JSON samples that contain a wide range of metadata about the device, its transform(s), associated camera and lens. The full schema is given below and can be downloaded here.
https://anaconda.org/anaconda/conda
https://docs.conda.io/projects/conda/en/latest/user-guide/getting-started.html
NOTE The company recently changed their TOS and this service now incurs into costs for teams above a threshold.
Use MicroMamba instead.
https://radiancefields.com/gaussian-splatting-in-nuke
https://aescripts.com/gaussian-splatting-for-nuke
Here’s the journey of crafting a compelling paper:
1️. ABSTRACT
This is your elevator pitch.
Give a methodology overview.
Paint the problem you’re solving.
Highlight key findings and their impact.
2️. INTRODUCTION
Start with what we know.
Set the stage for our current understanding.
Hook your reader with the relevance of your work.
3️. LITERATURE REVIEW
Identify what’s unknown.
Spot the gaps in current knowledge.
Your job in the next sections is to fill this gap.
4️. METHODOLOGY
What did you do?
Outline how you’ll fill that gap.
Be transparent about your approach.
Make it reproducible so others can follow.
5️. RESULTS
Let the data speak for itself.
Present your findings clearly.
Keep it concise and focused.
6️. DISCUSSION
Now, connect the dots.
Discuss implications and significance.
How do your findings bridge the knowledge gap?
7️. CONCLUSION
Wrap it up with future directions.
What does this mean for us moving forward?
Leave the reader with a call to action or reflection.
8️. REFERENCES
Acknowledge the giants whose shoulders you stand on.
A robust reference list shows the depth of your research.
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