Xpressive 2 software how to#
Xpressive 2 software full#

This is a step towards automatic expressive human capture from monocular RGB data.

Xpressive 2 software how to#

Learn how to install the Xpressive software. Learn how to connect the Elna machine to your computer. In this chapter: Find out what you receive in the Xpressive package. Regular expressions can be written as strings that are parsed at run-time, or as expression templates that are parsed at compile-time. We evaluate 3D accuracy on a new curated dataset comprising 100 images with pseudo ground-truth. provides you with the information you need to install the software and hardware and to learn about Xpressive. xpressive is an advanced, object-oriented regular expression template library for C++.

Elna 9020 Xquisit II Sewing/Embroidery Machine +Xpressive Embroidery Software. We use the new method, SMPLify-X, to fit SMPL-X to both controlled images and images in the wild. Fonts for Monogramming, 10 with 2 and 3 letter monogramming.

Xpressive 2 software full#

We improve on SMPLify in several significant ways: (1) we detect 2D features corresponding to the face, hands, and feet and fit the full SMPL-X model to these (2) we train a new neural network pose prior using a large MoCap dataset (3) we define a new interpenetration penalty that is both fast and accurate (4) we automatically detect gender and the appropriate body models (male, female, or neutral) (5) our PyTorch implementation achieves a speedup of more than 8x over Chumpy. Consequently, we follow the approach of SMPLify, which estimates 2D features and then optimizes model parameters to fit the features.

Export into any of the common machine formats: Brother/Baby Lock/Bernina (PES/PEC) Compucon/Singer PSW (XXX) Elna XPressive (EMD). Embroidery software Digitizer EX Junior V5.0 Embroidery software Digitizer EX V5.0 Current software. Learning to regress the parameters of SMPL-X directly from images is challenging without paired images and 3D ground truth. How to Make Lettering Using Artistic Software with the Zing or Silhouette Cameo. To achieve this, we use thousands of 3D scans to train a new, unified, 3D model of the human body, SMPL-X, that extends SMPL with fully articulated hands and an expressive face. To facilitate the analysis of human actions, interactions and emotions, we compute a 3D model of human body pose, hand pose, and facial expression from a single monocular image. Expressive Body Capture: 3D Hands, Face, and Body from a Single Image Abstract