Pytorch Implementation of Deeper Depth Prediction with Fully Convolutional Residual Networks
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Updated
May 3, 2023 - Python
Pytorch Implementation of Deeper Depth Prediction with Fully Convolutional Residual Networks
An experimental iOS app to create awesome 3D effects from photos using adaptive monocular depth interpretation and parallax occlusion mapping.
This repository contains sample implementation of models available from iOS developer site.
Depth Estimation for iOS and macOS, using FCRN Depth-Prediction models
Fully Convolutional Residual Network PyTorch implementation.
Aligned, sequence-validated atlas of engineered IgG Fc variants: 73 records across IgG1-IgG4 in EU numbering, interface contacts measured from deposited coordinates, generated PyMOL scripts and a no-install browser viewer.
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