✂️ EyeLipCropper is a Python tool to crop eyes and mouth ROIs of the given video.

Overview

EyeLipCropper

EyeLipCropper is a Python tool to crop eyes and mouth ROIs of the given video. The whole process consists of three parts: frame extraction, face alignment, and eye/mouth cropping. The cropped eye/mouth image size can be customized.

vis

Usage

Prerequisites

>>> pip install -r requirements.txt

1. Extract frames of a given video

>>> python frame_extract.py -h
usage: frame_extract.py [-h] [--video-path VIDEO_PATH] [--images-path IMAGES_PATH]

extract frames with opencv

optional arguments:
  -h, --help            show this help message and exit
  --video-path VIDEO_PATH
                        the input video path
  --images-path IMAGES_PATH
                        the output frames path
 
# default for test: this will generate frames of the video in `./test/images`
>>> python frame_extract.py

2. Align faces of the frames, with library face-alignment

>>> python face_align.py -h
usage: face_align.py [-h] [--images-path IMAGES_PATH] [--landmarks-path LANDMARKS_PATH] [--boxes-path BOXES_PATH] [--device DEVICE] [--log-path LOG_PATH]

align faces with `https://github.com/1adrianb/face-alignment`

optional arguments:
  -h, --help            show this help message and exit
  --images-path IMAGES_PATH
                        the input frames path
  --landmarks-path LANDMARKS_PATH
                        the output 68 landmarks path
  --boxes-path BOXES_PATH
                        the output bounding boxes path
  --device DEVICE       cpu or gpu cuda device
  --log-path LOG_PATH   logging when there are no faces detected
  
# default for test: this will generate landmarks and bounding boxes in
# `./test/landmarks` and `./test/boxes`
>>> python face_align.py

3. Crop left eye, right eye, mouth ROIs, with code modified from processing tools of [Eye] RT-GENE and [Mouth] LipForensics

>>> python eye_mouth_crop.py -h
usage: eye_mouth_crop.py [-h] [--images-path IMAGES_PATH] [--landmarks-path LANDMARKS_PATH] [--boxes-path BOXES_PATH] [--eye-width EYE_WIDTH] [--eye-height EYE_HEIGHT]
                         [--face-roi-width FACE_ROI_WIDTH] [--face-roi-height FACE_ROI_HEIGHT] [--left-eye-path LEFT_EYE_PATH] [--right-eye-path RIGHT_EYE_PATH]
                         [--mean-face MEAN_FACE] [--mouth-width MOUTH_WIDTH] [--mouth-height MOUTH_HEIGHT] [--start-idx START_IDX] [--stop-idx STOP_IDX]
                         [--window-margin WINDOW_MARGIN] [--mouth-path MOUTH_PATH]

crop eye and mouth regions

optional arguments:
  -h, --help            show this help message and exit
  --images-path IMAGES_PATH
                        [COMMON] the input frames path
  --landmarks-path LANDMARKS_PATH
                        [COMMON] the input 68 landmarks path
  --boxes-path BOXES_PATH
                        [EYE] the input bounding boxes path
  --eye-width EYE_WIDTH
                        [EYE] width of cropped eye ROIs
  --eye-height EYE_HEIGHT
                        [EYE] height of cropped eye ROIs
  --face-roi-width FACE_ROI_WIDTH
                        [EYE] maximize this argument until there is a warning message
  --face-roi-height FACE_ROI_HEIGHT
                        [EYE] maximize this argument until there is a warning message
  --left-eye-path LEFT_EYE_PATH
                        [EYE] the output left eye images path
  --right-eye-path RIGHT_EYE_PATH
                        [EYE] the output right eye images path
  --mean-face MEAN_FACE
                        [MOUTH] mean face pathname
  --mouth-width MOUTH_WIDTH
                        [MOUTH] width of cropped mouth ROIs
  --mouth-height MOUTH_HEIGHT
                        [MOUTH] height of cropped mouth ROIs
  --start-idx START_IDX
                        [MOUTH] start of landmark index for mouth
  --stop-idx STOP_IDX   [MOUTH] end of landmark index for mouth
  --window-margin WINDOW_MARGIN
                        [MOUTH] window margin for smoothed_landmarks
  --mouth-path MOUTH_PATH
                        [MOUTH] the output mouth images path

# default for test: this will generate the final cropped left eye,
# right eye, and mouth images in `./test/left_eye`, `./test/right_eye`
# , and `./test/mouth`
>>> python eye_mouth_crop.py
  • Note that the argument --face-roi-width and --face-roi-height should be maximized until there is a printed warning.

License

GPL-3.0 License

Reference

[1] Bulat, Adrian, and Georgios Tzimiropoulos. "How far are we from solving the 2d & 3d face alignment problem?(and a dataset of 230,000 3d facial landmarks)." Proceedings of the IEEE International Conference on Computer Vision (ICCV). 2017. GitHub: https://github.com/1adrianb/face-alignment

[2] Fischer, Tobias, Hyung Jin Chang, and Yiannis Demiris. "Rt-gene: Real-time eye gaze estimation in natural environments." Proceedings of the European Conference on Computer Vision (ECCV). 2018. GitHub: https://github.com/Tobias-Fischer/rt_gene

[3] Haliassos, Alexandros, et al. "Lips Don't Lie: A Generalisable and Robust Approach To Face Forgery Detection." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2021. GitHub: https://github.com/ahaliassos/LipForensics/

Owner
Zi-Han Liu
Senior @ SJTU
Zi-Han Liu
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

Nils Thuerey 1.3k Jan 08, 2023
a reccurrent neural netowrk that when trained on a peice of text and fed a starting prompt will write its on 250 character text using LSTM layers

RNN-Playwrite a reccurrent neural netowrk that when trained on a peice of text and fed a starting prompt will write its on 250 character text using LS

Arno Barton 1 Oct 29, 2021
Boosted CVaR Classification (NeurIPS 2021)

Boosted CVaR Classification Runtian Zhai, Chen Dan, Arun Sai Suggala, Zico Kolter, Pradeep Ravikumar NeurIPS 2021 Table of Contents Quick Start Train

Runtian Zhai 4 Feb 15, 2022
WormMovementSimulation - 3D Simulation of Worm Body Movement with Neurons attached to its body

Generate 3D Locomotion Data This module is intended to create 2D video trajector

1 Aug 09, 2022
Asterisk is a framework to generate high-quality training datasets at scale

Asterisk is a framework to generate high-quality training datasets at scale

Mona Nashaat 44 Apr 25, 2022
DimReductionClustering - Dimensionality Reduction + Clustering + Unsupervised Score Metrics

Dimensionality Reduction + Clustering + Unsupervised Score Metrics Introduction

11 Nov 15, 2022
Software & Hardware to do multi color printing with Sharpies

3D Print Colorizer is a combination of 3D printed parts and a Cura plugin which allows anyone with an Ender 3 like 3D printer to produce multi colored

343 Jan 06, 2023
HSC4D: Human-centered 4D Scene Capture in Large-scale Indoor-outdoor Space Using Wearable IMUs and LiDAR. CVPR 2022

HSC4D: Human-centered 4D Scene Capture in Large-scale Indoor-outdoor Space Using Wearable IMUs and LiDAR. CVPR 2022 [Project page | Video] Getting sta

51 Nov 29, 2022
No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency

This repository contains the implementation for the paper: No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consiste

Alireza Golestaneh 75 Dec 30, 2022
This repository contains the code used for the implementation of the paper "Probabilistic Regression with HuberDistributions"

Public_prob_regression_with_huber_distributions This repository contains the code used for the implementation of the paper "Probabilistic Regression w

David Mohlin 1 Dec 04, 2021
Semi-supervised Domain Adaptation via Minimax Entropy

Semi-supervised Domain Adaptation via Minimax Entropy (ICCV 2019) Install pip install -r requirements.txt The code is written for Pytorch 0.4.0, but s

Vision and Learning Group 243 Jan 09, 2023
Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

TensorLayer is a novel TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers. It provides an extens

TensorLayer Community 7.1k Dec 29, 2022
PyTorch Implementation of Small Lesion Segmentation in Brain MRIs with Subpixel Embedding (ORAL, MICCAIW 2021)

Small Lesion Segmentation in Brain MRIs with Subpixel Embedding PyTorch implementation of Small Lesion Segmentation in Brain MRIs with Subpixel Embedd

22 Oct 21, 2022
PASSL包含 SimCLR,MoCo,BYOL,CLIP等基于对比学习的图像自监督算法以及 Vision-Transformer,Swin-Transformer,BEiT,CVT,T2T,MLP_Mixer等视觉Transformer算法

PASSL Introduction PASSL is a Paddle based vision library for state-of-the-art Self-Supervised Learning research with PaddlePaddle. PASSL aims to acce

186 Dec 29, 2022
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.

HAWQ: Hessian AWare Quantization HAWQ is an advanced quantization library written for PyTorch. HAWQ enables low-precision and mixed-precision uniform

Zhen Dong 293 Dec 30, 2022
This repo contains code to reproduce all experiments in Equivariant Neural Rendering

Equivariant Neural Rendering This repo contains code to reproduce all experiments in Equivariant Neural Rendering by E. Dupont, M. A. Bautista, A. Col

Apple 83 Nov 16, 2022
R-Drop: Regularized Dropout for Neural Networks

R-Drop: Regularized Dropout for Neural Networks R-drop is a simple yet very effective regularization method built upon dropout, by minimizing the bidi

756 Dec 27, 2022
Pytorch-Swin-Unet-V2 - a modified version of Swin Unet based on Swin Transfomer V2

Swin Unet V2 Swin Unet V2 is a modified version of Swin Unet arxiv based on Swin

Chenxu Peng 26 Dec 03, 2022
STARCH compuets regional extreme storm physical characteristics and moisture balance based on spatiotemporal precipitation data from reanalysis or climate model data.

STARCH (Storm Tracking And Regional CHaracterization) STARCH computes regional extreme storm physical and moisture balance characteristics based on sp

Onosama 7 Oct 20, 2022
Model Serving Made Easy

The easiest way to build Machine Learning APIs BentoML makes moving trained ML models to production easy: Package models trained with any ML framework

BentoML 4.4k Jan 08, 2023