Generation Time

An assessment of the factors and variables that impact the total turn-around time for the generation of a didimo.

The total turn-around-time (TAT) for the generation of a didimo is dependant on a number of factors. This page provides guidance as to the likely TAT for different specifications of didimo.

Definition

Didimo defines the TAT for a didimo as

📘

The time between the receipt of a generation request by Didimos servers, and the time that the didimo asset is available for download.

This time does not include the network transfer times both ways.

TAT Variables

The TAT will vary based on a number of variables, namely -

TAT Variable

Description

Input Image (Seflie) resolution

High-resolution input images will generate better results but may take longer to process in the DGPDGP - The 'Didimo Generation Pipeline' - a modular and patented process that converts input imagery into realistic 3D avatars using computer vision, machine learning, and automated 3D modelling, rigging and texturing steps.

The didimo capability specified in the generation request

More complex generations that include more didimo features, or additional processing modules within our pipeline can include slightly higher generation times

The number of queued didimo requests and accessory fitting requests (Trial and Access Package customer only)

Trial users and Access Package customers have all their generation requests and accessory fitting requests processed by a specific pool of machines. Whilst we can dynamically scale these, at peak times when we may be processing large volumes there may be some TAT delays.

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n.b Enterprise Customers will have dedicated infrastructure and will receive a consistent and predictable TAT.

TAT Predictor

In order to give some predictability as to the approximate TAT that should be expected, as well as the size of didimo package that will be generated, we have provided a reference table below.

Please note that we have not included every single combination of generation variables, but a few select ones to give a likely indication.

For the purpose of this table, all input images were 7.84 MP.

Example 1

Example 2

Example 3

Example 4

Example 5

Input Image (Selfie)

x

x

x

x

x

glTF File Format

x

x

x

x

x

No Poses

x

Simple Poses

x

x

x

x

AWS Polly Poses

x

x

ARKit Poses

x

x

x

Oculus Lipsync Poses

x

x

x

2k Max Texture Dimension (default)

x

x

x

1k Max Texture Dimension

512 Max Texture Dimension

x

x

PACKAGE SIZE

2.0 MB

41.2 MB

14.7 MB

31.7 MB

43.8 MB

~TAT (seconds)

89

93

93

88

91


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