Facial detection, landmark tracking and expression transfer library for Windows, Linux and Mac

Overview

Welcome to the CSIRO Face Analysis SDK. Documentation for the SDK can be found in doc/documentation.html.

All code in this SDK is provided according to the license found in LICENSE.

If you use the CSIRO Face Analysis SDK in any publications, we ask that you reference our works.

The face tracking component is based on the publication: J. Saragih, S. Lucey and J. Cohn, "Deformable Model Fitting by Regularized Landmark Mean-Shift", IJCV 2011.

The expression transfer component is based on the publication: J. Saragih, S. Lucey and J. Cohn, "Real-time Avatar Animation from a Single Image", AFGR Workshop 2011.

If you use the SDK, we ask that you reference the following paper: M. Cox, J. Nuevo, J. Saragih and S. Lucey, "CSIRO Face Analysis SDK", AFGR 2013.


Here are the updates in the original code included in this fork of the project:

  • The dependency of Qt in the qt-gui project was upgraded from Qt4 to Qt5.
  • Some OpenCV missing includes were added (perhaps they are due to changes in version used).
  • The type casts were made explicit to remove related warning messages.
  • Some static array allocations were replaced with the operator new[].
  • The Windows/POSIX-specific function calls were enclosed in #ifdefs based on the operating system defined at compilation time, and the the best corresponding functions were used for Windows (for instance: PathRemoveFileSpec and PathStripPath respectively replaced dirname and basename in Windows).
  • The class ForkRunner was completely replaced in Windows by the implementation proposed by Ben Howell here. Although, there is no direct equivalent of fork (used by the original class) on Windows and CreateProcess does not have the same behaviour (further tests required).
  • The libraries utilities, clmTracker and avatarAnim, that were originally created as shared libraries, were transformed into static libraries only for the Windows configuration. This was just simpler to do at this time, because the use of the __declspec(dllexport) directive (to export the functions/classes to be usable through a DLL) was causing problems related to third part objects not being equally exported (for instance, in some classes/functions, the compiler was producing messages like: "warning C4251: class 'cv::Mat' needs to have dll-interface to be used by clients of class ").
Owner
Luiz Carlos Vieira
Luiz Carlos Vieira
NeRViS: Neural Re-rendering for Full-frame Video Stabilization

Neural Re-rendering for Full-frame Video Stabilization

Yu-Lun Liu 9 Jun 17, 2022
A Python module for parallel optimization of expensive black-box functions

blackbox: A Python module for parallel optimization of expensive black-box functions What is this? A minimalistic and easy-to-use Python module that e

Paul Knysh 426 Dec 08, 2022
This repository contains code, network definitions and pre-trained models for working on remote sensing images using deep learning

Deep learning for Earth Observation This repository contains code, network definitions and pre-trained models for working on remote sensing images usi

Nicolas Audebert 447 Jan 05, 2023
Principled Detection of Out-of-Distribution Examples in Neural Networks

ODIN: Out-of-Distribution Detector for Neural Networks This is a PyTorch implementation for detecting out-of-distribution examples in neural networks.

189 Nov 29, 2022
E2C implementation in PyTorch

Embed to Control implementation in PyTorch Paper can be found here: https://arxiv.org/abs/1506.07365 You will need a patched version of OpenAI Gym in

Yicheng Luo 42 Dec 12, 2022
PyTorch implementation of "LayoutTransformer: Layout Generation and Completion with Self-attention"

PyTorch implementation of "LayoutTransformer: Layout Generation and Completion with Self-attention" to appear in ICCV 2021

Kamal Gupta 75 Dec 23, 2022
Mememoji - A facial expression classification system that recognizes 6 basic emotions: happy, sad, surprise, fear, anger and neutral.

a project built with deep convolutional neural network and ❤️ Table of Contents Motivation The Database The Model 3.1 Input Layer 3.2 Convolutional La

Jostine Ho 761 Dec 05, 2022
Tools for the Cleveland State Human Motion and Control Lab

Introduction This is a collection of tools that are helpful for gait analysis. Some are specific to the needs of the Human Motion and Control Lab at C

CSU Human Motion and Control Lab 88 Dec 16, 2022
My course projects for the 2021 Spring Machine Learning course at the National Taiwan University (NTU)

ML2021Spring There are my projects for the 2021 Spring Machine Learning course at the National Taiwan University (NTU) Course Web : https://speech.ee.

Ding-Li Chen 15 Aug 29, 2022
Automatic labeling, conversion of different data set formats, sample size statistics, model cascade

Simple Gadget Collection for Object Detection Tasks Automatic image annotation Conversion between different annotation formats Obtain statistical info

llt 4 Aug 24, 2022
Pytorch implementation of "Training a 85.4% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet"

Token Labeling: Training an 85.4% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet (arxiv) This is a Pytorch implementation of our te

蒋子航 383 Dec 27, 2022
Autoregressive Models in PyTorch.

Autoregressive This repository contains all the necessary PyTorch code, tailored to my presentation, to train and generate data from WaveNet-like auto

Christoph Heindl 41 Oct 09, 2022
Studying Python release adoptions by looking at PyPI downloads

Analysis of version adoptions on PyPI We get PyPI download statistics via Google's BigQuery using the pypinfo tool. Usage First you need to get an acc

Julien Palard 9 Nov 04, 2022
PyTorch implementations of neural network models for keyword spotting

Honk: CNNs for Keyword Spotting Honk is a PyTorch reimplementation of Google's TensorFlow convolutional neural networks for keyword spotting, which ac

Castorini 475 Dec 15, 2022
Addon and nodes for working with structural biology and molecular data in Blender.

Molecular Nodes 🧬 🔬 💻 Buy Me a Coffee to Keep Development Going! Join a Community of Blender SciVis People! What is Molecular Nodes? Molecular Node

Brady Johnston 456 Jan 08, 2023
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

Focal Frequency Loss - Official PyTorch Implementation This repository provides the official PyTorch implementation for the following paper: Focal Fre

Liming Jiang 460 Jan 04, 2023
Code and datasets for the paper "Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction" (RA-L, 2021)

Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction This is the code for the paper Combining E

Robotics and Perception Group 69 Dec 26, 2022
PyTorch implementation of "PatchGame: Learning to Signal Mid-level Patches in Referential Games" to appear in NeurIPS 2021

PatchGame: Learning to Signal Mid-level Patches in Referential Games This repository is the official implementation of the paper - "PatchGame: Learnin

Kamal Gupta 22 Mar 16, 2022
Code for Towards Streaming Perception (ECCV 2020) :car:

sAP — Code for Towards Streaming Perception ECCV Best Paper Honorable Mention Award Feb 2021: Announcing the Streaming Perception Challenge (CVPR 2021

Martin Li 85 Dec 22, 2022
Semantic graph parser based on Categorial grammars

Lambekseq "Everyone who failed Greek or Latin hates it." This package is for proving theorems in Categorial grammars (CG) and constructing semantic gr

10 Aug 19, 2022