Official Pytorch implementation of 'RoI Tanh-polar Transformer Network for Face Parsing in the Wild.'

Related tags

Deep Learningpytorchface-parsing
Overview

ibug.face_parsing

RoI Tanh-polar Transformer Network for Face Parsing in the Wild.

Note: If you use this repository in your research, we kindly rquest you to cite the following paper:

@article{lin2021roi,
title = {RoI Tanh-polar transformer network for face parsing in the wild},
journal = {Image and Vision Computing},
volume = {112},
pages = {104190},
year = {2021},
issn = {0262-8856},
doi = {https://doi.org/10.1016/j.imavis.2021.104190},
url = {https://www.sciencedirect.com/science/article/pii/S0262885621000950},
author = {Yiming Lin and Jie Shen and Yujiang Wang and Maja Pantic},
keywords = {Face parsing, In-the-wild dataset, Head pose augmentation, Tanh-polar representation},
}

Dependencies

How to Install

git clone https://github.com/hhj1897/face_parsing
cd face_parsing
git lfs pull
pip install -e .

How to Test

python face_warping_test.py -i 0 -e rtnet50 --decoder fcn -n 11 -d cuda:0

Command-line arguments:

-i VIDEO: Index of the webcam to use (start from 0) or
          path of the input video file
-d: Device to be used by PyTorch (default=cuda:0)
-e: Encoder (default=rtnet50)
--decoder: Decoder (default=fcn)
-n: Number of facial classes, can be 11 or 14 for now (default=11)

iBugMask Dataset

The training and testing images, bounding boxes, landmarks, and parsing maps can be found in the following:

Label Maps

Label map for 11 classes:

0 : background
1 : skin (including face and scalp)
2 : left_eyebrow
3 : right_eyebrow
4 : left_eye
5 : right_eye
6 : nose
7 : upper_lip
8 : inner_mouth
9 : lower_lip
10 : hair

Label map for 14 classes:

0 : background
1 : skin (including face and scalp)
2 : left_eyebrow
3 : right_eyebrow
4 : left_eye
5 : right_eye
6 : nose
7 : upper_lip
8 : inner_mouth
9 : lower_lip
10 : hair
11 : left_ear
12 : right_ear
13 : glasses

Visualisation

You might also like...
VSR-Transformer - This paper proposes a new Transformer for video super-resolution (called VSR-Transformer).
VSR-Transformer - This paper proposes a new Transformer for video super-resolution (called VSR-Transformer).

VSR-Transformer By Jiezhang Cao, Yawei Li, Kai Zhang, Luc Van Gool This paper proposes a new Transformer for video super-resolution (called VSR-Transf

Jiezhang Cao 225 Nov 13, 2022
A python implementation of Yolov5 to detect fire or smoke in the wild in Jetson Xavier nx and Jetson nano
A python implementation of Yolov5 to detect fire or smoke in the wild in Jetson Xavier nx and Jetson nano

yolov5-fire-smoke-detect-python A python implementation of Yolov5 to detect fire or smoke in the wild in Jetson Xavier nx and Jetson nano You can see

null 20 Dec 15, 2022
The official implementation of CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing

CSGStumpNet The official implementation of CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing Paper | Project page

Daxuan 39 Dec 26, 2022
Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing

Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing Paper Introduction Multi-task indoor scene understanding is widely considered a

null 62 Dec 5, 2022
Pytorch implementation of face attention network
Pytorch implementation of face attention network

Face Attention Network Pytorch implementation of face attention network as described in Face Attention Network: An Effective Face Detector for the Occ

Hooks 312 Dec 9, 2022
Official pytorch code for SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer and Removal
Official pytorch code for SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer and Removal

SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer and Removal This is the official pytorch code for SSAT: A Symmetric Semantic-

ForeverPupil 57 Dec 13, 2022
Non-Official Pytorch implementation of
Non-Official Pytorch implementation of "Face Identity Disentanglement via Latent Space Mapping" https://arxiv.org/abs/2005.07728 Using StyleGAN2 instead of StyleGAN

Face Identity Disentanglement via Latent Space Mapping - Implement in pytorch with StyleGAN 2 Description Pytorch implementation of the paper Face Ide

Daniel Roich 58 Dec 24, 2022
Official PyTorch implementation of
Official PyTorch implementation of "Improving Face Recognition with Large AgeGaps by Learning to Distinguish Children" (BMVC 2021)

Inter-Prototype (BMVC 2021): Official Project Webpage This repository provides the official PyTorch implementation of the following paper: Improving F

Jungsoo Lee 16 Jun 30, 2022
Official Pytorch Implementation of 3DV2021 paper: SAFA: Structure Aware Face Animation.
Official Pytorch Implementation of 3DV2021 paper: SAFA: Structure Aware Face Animation.

SAFA: Structure Aware Face Animation (3DV2021) Official Pytorch Implementation of 3DV2021 paper: SAFA: Structure Aware Face Animation. Getting Started

QiulinW 122 Dec 23, 2022
Comments
  • cannot convert to tflite

    cannot convert to tflite

    Hello, thanks for sharing this great study. I'm researching face parsing and i'm trying to port to Tflite and compare the performance, but I can't since this is using special ops - it uses "grid sample"

    What do you suggest I can do in order to test on Tflite/CoreML?

    Will training on Lapa dataset improve the accuracy? if not why?

    opened by ofirkris 1
  • _pickle.UnpicklingError: invalid load key, 'v'

    _pickle.UnpicklingError: invalid load key, 'v'

    How to fix it

    Traceback (most recent call last): File "face_parsing_test.py", line 141, in main() File "face_parsing_test.py", line 50, in main face_parser = RTNetPredictor( File "/home/ml/radishevskii/face_parsing/ibug/face_parsing/parser.py", line 81, in init ckpt = torch.load(ckpt, 'cpu') File "/home/ml/radishevskii/anaconda3/envs/inga_vlad/lib/python3.8/site-packages/torch/serialization.py", line 593, in load return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args) File "/home/ml/radishevskii/anaconda3/envs/inga_vlad/lib/python3.8/site-packages/torch/serialization.py", line 762, in _legacy_load magic_number = pickle_module.load(f, **pickle_load_args) _pickle.UnpicklingError: invalid load key, 'v'.

    opened by vladradishevsky 1
  • face parsing label

    face parsing label

    It seems that the dataset released contains only the annotation of 11 facial parts. However, the repository also provide the model trained with dataset containing labels of 14 facial parts. Thus, we wonder how can we get the labels of 14 facial parts. Can you provide the download link? Thanks!

    opened by HowToNameMe 0
Releases(v0.2.0)
Owner
Jie Shen
Jie Shen
GitHub Repository
The code for 'Deep Residual Fourier Transformation for Single Image Deblurring'

Deep Residual Fourier Transformation for Single Image Deblurring Xintian Mao, Yiming Liu, Wei Shen, Qingli Li and Yan Wang code will be released soon

145 Dec 13, 2022
ProMP: Proximal Meta-Policy Search

ProMP: Proximal Meta-Policy Search Implementations corresponding to ProMP (Rothfuss et al., 2018). Overall this repository consists of two branches: m

Jonas Rothfuss 212 Dec 20, 2022
PyTorch implementation of DUL (Data Uncertainty Learning in Face Recognition, CVPR2020)

PyTorch implementation of DUL (Data Uncertainty Learning in Face Recognition, CVPR2020)

Mouxiao Huang 20 Nov 15, 2022
Minimal implementation of Denoised Smoothing: A Provable Defense for Pretrained Classifiers in TensorFlow.

Denoised-Smoothing-TF Minimal implementation of Denoised Smoothing: A Provable Defense for Pretrained Classifiers in TensorFlow. Denoised Smoothing is

Sayak Paul 19 Dec 11, 2022
Unified API to facilitate usage of pre-trained "perceptor" models, a la CLIP

mmc installation git clone https://github.com/dmarx/Multi-Modal-Comparators cd 'Multi-Modal-Comparators' pip install poetry poetry build pip install d

David Marx 37 Nov 25, 2022
This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".

Graphormer By Chengxuan Ying, Tianle Cai, Shengjie Luo, Shuxin Zheng*, Guolin Ke, Di He*, Yanming Shen and Tie-Yan Liu. This repo is the official impl

Microsoft 1.3k Dec 26, 2022
Codeflare - Scale complex AI/ML pipelines anywhere

Scale complex AI/ML pipelines anywhere CodeFlare is a framework to simplify the integration, scaling and acceleration of complex multi-step analytics

CodeFlare 169 Nov 29, 2022
A data-driven approach to quantify the value of classifiers in a machine learning ensemble.

Documentation | External Resources | Research Paper Shapley is a Python library for evaluating binary classifiers in a machine learning ensemble. The

Benedek Rozemberczki 188 Dec 29, 2022
Code for our paper "Interactive Analysis of CNN Robustness"

Perturber Code for our paper "Interactive Analysis of CNN Robustness" Datasets Feature visualizations: Google Drive Fine-tuning checkpoints as saved m

Stefan Sietzen 0 Aug 17, 2021
Pytorch Implementation of Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations

NANSY: Unofficial Pytorch Implementation of Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations Notice Papers' D

Dongho Choi 최동호 104 Dec 23, 2022
Code for the paper: Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization (https://arxiv.org/abs/2002.11798)

Representation Robustness Evaluations Our implementation is based on code from MadryLab's robustness package and Devon Hjelm's Deep InfoMax. For all t

Sicheng 19 Dec 07, 2022
Official implementation of the Neurips 2021 paper Searching Parameterized AP Loss for Object Detection.

Parameterized AP Loss By Chenxin Tao, Zizhang Li, Xizhou Zhu, Gao Huang, Yong Liu, Jifeng Dai This is the official implementation of the Neurips 2021

46 Jul 06, 2022
Instance-wise Occlusion and Depth Orders in Natural Scenes (CVPR 2022)

Instance-wise Occlusion and Depth Orders in Natural Scenes Official source code. Appears at CVPR 2022 This repository provides a new dataset, named In

27 Dec 27, 2022
Code for our paper Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation

CorDA Code for our paper Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation Prerequisite Please create and activate the follo

Qin Wang 60 Nov 30, 2022
Repository for Traffic Accident Benchmark for Causality Recognition (ECCV 2020)

Causality In Traffic Accident (Under Construction) Repository for Traffic Accident Benchmark for Causality Recognition (ECCV 2020) Overview Data Prepa

Tackgeun 21 Nov 20, 2022
Revisiting Self-Training for Few-Shot Learning of Language Model.

SFLM This is the implementation of the paper Revisiting Self-Training for Few-Shot Learning of Language Model. SFLM is short for self-training for few

15 Nov 19, 2022
Keqing Chatbot With Python

KeqingChatbot A public running instance can be found on telegram as @keqingchat_bot. Requirements Python 3.8 or higher. A bot token. Local Deploy git

Rikka-Chan 2 Jan 16, 2022
SynNet - synthetic tree generation using neural networks

SynNet This repo contains the code and analysis scripts for our amortized approach to synthetic tree generation using neural networks. Our model can s

Wenhao Gao 60 Dec 29, 2022
Code & Models for 3DETR - an End-to-end transformer model for 3D object detection

3DETR: An End-to-End Transformer Model for 3D Object Detection PyTorch implementation and models for 3DETR. 3DETR (3D DEtection TRansformer) is a simp

Facebook Research 487 Dec 31, 2022
The VeriNet toolkit for verification of neural networks

VeriNet The VeriNet toolkit is a state-of-the-art sound and complete symbolic interval propagation based toolkit for verification of neural networks.

9 Dec 21, 2022