Face Alignment using python

Last update: Nov 23, 2022

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Overview

Face Alignment

Face Alignment using python

Input Image	Aligned Face	Aligned Face	Aligned Face

Input Image	Aligned Face	Input Image	Aligned Face

Installation

Install required packages

pip install -r requirements.txt

Inference

This code processes an image and output to a directory:

python3 align_image.py --input ./input/friends.jpg --output ./output

or run following command to align face image using imutils package:

python3 align_image_2.py --input ./input/friends.jpg --output ./output

Owner

Sajjad Aemmi

Machine Learning Engineer @ ParsTech - Master of AI @ Ferdowsi University of Mashhad - Teacher @ Sadjad University - WebDeveloper - Graphist

GitHub Repository

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Face Alignment using python

Related tags

Overview

Face Alignment

Installation

Inference

Owner

Sajjad Aemmi

Understanding Convolutional Neural Networks from Theoretical Perspective via Volterra Convolution

Python implementation of "Multi-Instance Pose Networks: Rethinking Top-Down Pose Estimation"

This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille).

In this project, we develop a face recognize platform based on MTCNN object-detection netcwork and FaceNet self-supervised network.

Local Similarity Pattern and Cost Self-Reassembling for Deep Stereo Matching Networks

Denoising Diffusion Probabilistic Models

Probabilistic Gradient Boosting Machines

Official PyTorch implementation of PICCOLO: Point-Cloud Centric Omnidirectional Localization (ICCV 2021)

Earthquake detection via fiber optic cables using deep learning

Python Interview Questions

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

A lane detection integrated Real-time Instance Segmentation based on YOLACT (You Only Look At CoefficienTs)

Physics-Aware Training (PAT) is a method to train real physical systems with backpropagation.

ConvMAE: Masked Convolution Meets Masked Autoencoders

A collection of models for image<->text generation in ACM MM 2021.

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The world's largest toxicity dataset.

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A self-supervised 3D representation learning framework named viewpoint bottleneck.