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Description
Fujiyama is a free and open-source ray-tracing renderer that is tailored for production image rendering with a focus on distribution. It features multi-threaded rendering that dynamically assigns tile rendering to each thread, enhancing efficiency. The rendering preview tool, fbview, allows users to monitor the progress of their rendering tasks. Additionally, region rendering significantly speeds up the distribution rendering pipeline, while the renderer employs tile-based rendering techniques. Among its capabilities are three distinct Volume Filling Procedures: the Pyroclastic clouds procedure, the Spline wisps procedure, and the Surface wisps procedure. It also supports on-demand reading of mipmaps, allowing for an unlimited variety of texture images. The pluggable shader DSO enables users to create shaders using C/C++, with subsurface scattering integrated directly into the shader framework. Bump mapping is facilitated by modifying normals based on mipmap images, and primitive groups allow multiple shaders to be assigned to a triangle mesh. Moreover, Fujiyama incorporates Gaussian and Box pixel filters that accommodate filter widths exceeding one pixel. Lastly, its adaptive grid pixel sampling subdivides pixels according to color thresholds, ensuring high-quality rendering results. Together, these features make Fujiyama a versatile and powerful tool for rendering needs.
Description
SplineCloud serves as a collaborative knowledge management platform aimed at enhancing the identification, formalization, and sharing of structured and reusable knowledge within the realms of science and engineering. This innovative platform allows users to systematically arrange their data into organized repositories, ensuring that it is easily discoverable and accessible. Among its features are tools like an online plot digitizer, which helps in extracting data from graphical representations, and an interactive curve fitting tool, enabling users to establish functional relationships within datasets through the application of smooth spline functions. Additionally, users have the capability to incorporate datasets and relationships into their models and calculations by directly accessing them via the SplineCloud API or employing open source client libraries compatible with Python and MATLAB. By supporting the creation of reusable engineering and analytical applications, the platform aims to minimize design process redundancies, safeguard expert knowledge, and enhance decision-making efficiency. Ultimately, SplineCloud stands as a vital resource for researchers and engineers seeking to optimize their workflows and improve knowledge sharing in their fields.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Fujiyama
Founded
2011
Country
Japan
Website
tsubo164.github.io/Fujiyama-Docs/
Vendor Details
Company Name
SplineCloud
Founded
2021
Country
Ukraine
Website
splinecloud.com