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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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

Screenshots View All

Screenshots View All

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

Product Features

Product Features

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