Last updated on June 2023 (IN-PROGRESS)
Introduction:
These tools have been developed over three years to create a comprehensive pipeline that operates entirely on a Database. Each tool functions within its environment, with logs stored in independent databases. Machine learning techniques are utilized for training and future updates. With eight years of programming experience, I have leveraged my production expertise to bridge the gap between artistic needs and production requirements.
These tools have been developed over three years to create a comprehensive pipeline that operates entirely on a Database. Each tool functions within its environment, with logs stored in independent databases. Machine learning techniques are utilized for training and future updates. With eight years of programming experience, I have leveraged my production expertise to bridge the gap between artistic needs and production requirements.
Tool Showcase:
The tools below demonstrate my proficiency and understanding of Python in a production setting. They have been designed to streamline creative tasks and enhance productivity. It's important to note that these tools are still in development and function as an integrated system rather than individual plug-ins.
The tools below demonstrate my proficiency and understanding of Python in a production setting. They have been designed to streamline creative tasks and enhance productivity. It's important to note that these tools are still in development and function as an integrated system rather than individual plug-ins.
Technology Stack:
The current stage of development involves using Python 3.11, PyQt5, Fedora 34 and 37 and Ubuntu. These technologies provide a solid foundation for building efficient and robust tools.
The current stage of development involves using Python 3.11, PyQt5, Fedora 34 and 37 and Ubuntu. These technologies provide a solid foundation for building efficient and robust tools.
Development Note:
This recording is my initial attempt to document the tools over a weekend. As a result, some details may not be fully clarified. However, it serves as a comprehensive overview of my ongoing work.
This recording is my initial attempt to document the tools over a weekend. As a result, some details may not be fully clarified. However, it serves as a comprehensive overview of my ongoing work.
Please let me know if there's anything specific you would like to know about the tools or if you have any further questions.
Camo
Camera/load camera/load sequences and shots in the current project.
Shader Builder
Build and manage shaders in Maya.
Build / Layout Editor
layout tool to manage, create, and share layouts with other users of the project.
Jsus
# Tool used to save project files for assigned jobs and their tasks in Maya & Houdini.
# Allow user to open published files
# Load users on the project's old files
Copy N Paste
Tool to share objects, lights, cameras, and shaders between Maya scenes over the network between projects. Built with Python and pyqt5
Builder
tool to add assets / shots to the project
POWER
renders / jobs manager
Software Mapper
project/user envi. variables manager
DocGen
auto documentation generator for pipeline packages
bucket
assets / publishes loader in Maya 2023
Appender
add assets to the project and update the database upon submission
Notes
artists notes manager for assigned tasks on the project