Extracts essential Mediapipe face landmarks and arranges them in a sequenced order.

Overview

simplified_mediapipe_face_landmarks

Extracts essential Mediapipe face landmarks and arranges them in a sequenced order.

The default 478 Mediapipe face landmarks are scattered randomly all over the place and makes it difficult to isolate specific parts of the face. This mpFaceSimplified.py library returns 138 landmarks of left eyebrow → right eyebrow → left eye → right eye → inner lip → outer lip → face boundary, in a sequence, making it easier to isolate these parts.

Original Landmarks from Mediapipe face_mesh

  • Left Eyebrow = [70,63,105,66,107,55,65,52,53,46]
  • Right Eyebrow = [300,293,334,296,336,285,295,282,283,276]
  • Left Eye = [33,246,161,160,159,158,157,173,133,155,154,153,145,144,163,7]
  • Right Eye = [263,466,388,387,386,385,384,398,362,382,381,380,374,373,390,249]
  • Inner Lip = [78,191,80,81,82,13,312,311,310,415,308,324,318,402,317,14,87,178,88,95]
  • Outer Lip = [61,185,40,39,37,0,267,269,270,409,291,375,321,405,314,17,84,181,91,146]
  • Face Boundary = [10,338,297,332,284,251,389,356,454,323,361,288,397,365,379,378,400,377,152,148,176,149,150,136,172,58,132,93,234,127,162,21,54,103,67,109]
  • Left iris = [468,469,470,471,472]
  • Right iris = [473,474,475,476,477]


    originalLandmarks

Simplified Landmarks after sequencing

  • Left Eyebrow = [0->9]
  • right Eyebrow = [10->19]
  • Left Eye = [20->35]
  • Right Eye = [36->51]
  • Iner Lip = [52->71]
  • outer Lip = [72->91]
  • Face Boundary = [92->127]
  • Left iris = [128->132]
  • Right iris = [133->137]


    simplifiedLandmarks

Keep 'mpFaceSimplified.py' and 'exampleProgram.py' in the same folder and then run 'exampleProgram.py' to try it out.

Owner
Irfan
Irfan
Implementation for "Manga Filling Style Conversion with Screentone Variational Autoencoder" (SIGGRAPH ASIA 2020 issue)

Manga Filling with ScreenVAE SIGGRAPH ASIA 2020 | Project Website | BibTex This repository is for ScreenVAE introduced in the following paper "Manga F

30 Dec 24, 2022
Greedy Gaussian Segmentation

GGS Greedy Gaussian Segmentation (GGS) is a Python solver for efficiently segmenting multivariate time series data. For implementation details, please

Stanford University Convex Optimization Group 72 Dec 07, 2022
Codes for TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization.

TS-CAM: Token Semantic Coupled Attention Map for Weakly SupervisedObject Localization This is the official implementaion of paper TS-CAM: Token Semant

vasgaowei 112 Jan 02, 2023
Contrastive Learning for Many-to-many Multilingual Neural Machine Translation(mCOLT/mRASP2), ACL2021

Contrastive Learning for Many-to-many Multilingual Neural Machine Translation(mCOLT/mRASP2), ACL2021 The code for training mCOLT/mRASP2, a multilingua

104 Jan 01, 2023
This repository contains the implementation of Deep Detail Enhancment for Any Garment proposed in Eurographics 2021

Deep-Detail-Enhancement-for-Any-Garment Introduction This repository contains the implementation of Deep Detail Enhancment for Any Garment proposed in

40 Dec 13, 2022
NumPy로 구현한 딥러닝 라이브러리입니다. (자동 미분 지원)

Deep Learning Library only using NumPy 본 레포지토리는 NumPy 만으로 구현한 딥러닝 라이브러리입니다. 자동 미분이 구현되어 있습니다. 자동 미분 자동 미분은 미분을 자동으로 계산해주는 기능입니다. 아래 코드는 자동 미분을 활용해 역전파

조준희 17 Aug 16, 2022
Multiview 3D object detection on MultiviewC dataset through moft3d.

Voxelized 3D Feature Aggregation for Multiview Detection [arXiv] Multiview 3D object detection on MultiviewC dataset through VFA. Introduction We prop

Jiahao Ma 20 Dec 21, 2022
Pytorch implementation for DFN: Distributed Feedback Network for Single-Image Deraining.

DFN:Distributed Feedback Network for Single-Image Deraining Abstract Recently, deep convolutional neural networks have achieved great success for sing

6 Nov 05, 2022
Official PyTorch implementation of "Evolving Search Space for Neural Architecture Search"

Evolving Search Space for Neural Architecture Search Usage Install all required dependencies in requirements.txt and replace all ..path/..to in the co

Yuanzheng Ci 10 Oct 24, 2022
Face recognize system

FRS Face_recognize_system This project contains my work that target on solving some problems of FRS: Face detection: Retinaface Face anti-spoofing: Fo

Tran Anh Tuan 4 Nov 18, 2021
Simple object detection app with streamlit

object-detection-app Simple object detection app with streamlit. Upload an image and perform object detection. Adjust the confidence threshold to see

Robin Cole 68 Jan 02, 2023
Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)

Diffusion Probabilistic Models for 3D Point Cloud Generation [Paper] [Code] The official code repository for our CVPR 2021 paper "Diffusion Probabilis

Shitong Luo 323 Jan 05, 2023
Constructing interpretable quadratic accuracy predictors to serve as an objective function for an IQCQP problem that represents NAS under latency constraints and solve it with efficient algorithms.

IQNAS: Interpretable Integer Quadratic programming Neural Architecture Search Realistic use of neural networks often requires adhering to multiple con

0 Oct 24, 2021
Official code for NeurIPS 2021 paper "Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN"

Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN Official code for NeurIPS 2021 paper "Towards Scalable Unpaired Virtu

68 Dec 21, 2022
TensorFlow Implementation of Unsupervised Cross-Domain Image Generation

Domain Transfer Network (DTN) TensorFlow implementation of Unsupervised Cross-Domain Image Generation. Requirements Python 2.7 TensorFlow 0.12 Pickle

Yunjey Choi 864 Dec 30, 2022
Interactive Terraform visualization. State and configuration explorer.

Rover - Terraform Visualizer Rover is a Terraform visualizer. In order to do this, Rover: generates a plan file and parses the configuration in the ro

Tu Nguyen 2.3k Jan 07, 2023
A Flexible Generative Framework for Graph-based Semi-supervised Learning (NeurIPS 2019)

G3NN This repo provides a pytorch implementation for the 4 instantiations of the flexible generative framework as described in the following paper: A

Jiaqi Ma 14 Oct 11, 2022
Domain Adaptation with Invariant RepresentationLearning: What Transformations to Learn?

Domain Adaptation with Invariant RepresentationLearning: What Transformations to Learn? Repository Structure: DSAN |└───amazon |    └── dataset (Amazo

DMIRLAB 17 Jan 04, 2023
NAS-FCOS: Fast Neural Architecture Search for Object Detection (CVPR 2020)

NAS-FCOS: Fast Neural Architecture Search for Object Detection This project hosts the train and inference code with pretrained model for implementing

Ning Wang 180 Dec 06, 2022
Official implementation of the paper "Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering"

Light Field Networks Project Page | Paper | Data | Pretrained Models Vincent Sitzmann*, Semon Rezchikov*, William Freeman, Joshua Tenenbaum, Frédo Dur

Vincent Sitzmann 130 Dec 29, 2022