😊 Python module for face feature changing

Overview

PyWarping

Python module for face feature changing

Installation

pip install pywarping

If you get an error: No such file or directory: 'cmake': 'cmake', you need to make sure cmake is installed. If you're on OSX you can install this via Homebrew with:

brew install cmake

For other platforms please consult the Cmake documentation at https://cmake.org/install/

Usage

For each face in an image define what actions are to be performed on it, pywarping will do the rest. Check out the docs here.

Minimal Example

import matplotlib.pyplot as plt

from pywarping.actions import Chubby, Multiple, Pipeline, Smile
from pywarping.detect import LandmarkFace

img_path = 'path/to/your/image'
img = plt.imread(img_path)

lf = LandmarkFace.estimate(img)

a_per_face = Pipeline([Chubby(), Smile()])
a_all = Multiple(a_per_face)

new_lf, _ = a_all.perform(lf)
new_lf.plot(show_landmarks=False, show_numbers=False)

CLI

pywarping also comes with a CLI that exposes some of its functionality. You can list the commands with pw --help:

Usage: pw [OPTIONS] COMMAND [ARGS]...

  Automated face warping tool.

Options:
  --help  Show this message and exit.

Commands:
  list     List available actions.
  perform  Take an action.

To perform an action (Smile in the example below) and plot the result on the screen

pw perform Smile INPUT_IMG_PATH

or if you want to create a new image and save it

pw perform Smile INPUT_IMG_PATH OUTPUT_IMG_PATH

Notes

By default we are using a pretrained landmark model from https://github.com/davisking/dlib-models.

License

This Project Has Been MIT Licensed

You might also like...
Swapping face using Face Mesh with TensorFlow Lite
Swapping face using Face Mesh with TensorFlow Lite

Swapping face using Face Mesh with TensorFlow Lite

Face Synthetics dataset is a collection of diverse synthetic face images with ground truth labels.
Face Synthetics dataset is a collection of diverse synthetic face images with ground truth labels.

The Face Synthetics dataset Face Synthetics dataset is a collection of diverse synthetic face images with ground truth labels. It was introduced in ou

Face Library is an open source package for accurate and real-time face detection and recognition
Face Library is an open source package for accurate and real-time face detection and recognition

Face Library Face Library is an open source package for accurate and real-time face detection and recognition. The package is built over OpenCV and us

VGGFace2-HQ - A high resolution face dataset for face editing purpose
VGGFace2-HQ - A high resolution face dataset for face editing purpose

The first open source high resolution dataset for face swapping!!! A high resolution version of VGGFace2 for academic face editing purpose

A large-scale face dataset for face parsing, recognition, generation and editing.
A large-scale face dataset for face parsing, recognition, generation and editing.

CelebAMask-HQ [Paper] [Demo] CelebAMask-HQ is a large-scale face image dataset that has 30,000 high-resolution face images selected from the CelebA da

AI Face Mesh: This is a simple face mesh detection program based on Artificial intelligence.

AI Face Mesh: This is a simple face mesh detection program based on Artificial Intelligence which made with Python. It's able to detect 468 different

Face and Pose detector that emits MQTT events when a face or human body is detected and not detected.
Face and Pose detector that emits MQTT events when a face or human body is detected and not detected.

Face Detect MQTT Face or Pose detector that emits MQTT events when a face or human body is detected and not detected. I built this as an alternative t

Genetic feature selection module for scikit-learn

sklearn-genetic Genetic feature selection module for scikit-learn Genetic algorithms mimic the process of natural selection to search for optimal valu

Implementation of the Triangle Multiplicative module, used in Alphafold2 as an efficient way to mix rows or columns of a 2d feature map, as a standalone package for Pytorch
Implementation of the Triangle Multiplicative module, used in Alphafold2 as an efficient way to mix rows or columns of a 2d feature map, as a standalone package for Pytorch

Triangle Multiplicative Module - Pytorch Implementation of the Triangle Multiplicative module, used in Alphafold2 as an efficient way to mix rows or c

Comments
  • Cant seem to install pywarping

    Cant seem to install pywarping

    This is the error when I try to install it with pip(Pip version 21.1.2, python version 3.9.1)

    `Collecting pywarping Using cached pywarping-0.2-py3-none-any.whl Requirement already satisfied: scikit-image in c:\users\saketh\appdata\local\programs\python\python39\lib\site-packages (from pywarping) (0.18.2) Requirement already satisfied: opencv-python in c:\users\saketh\appdata\local\programs\python\python39\lib\site-packages (from pywarping) (4.5.2.52) Requirement already satisfied: matplotlib>=2.0.0 in c:\users\saketh\appdata\local\programs\python\python39\lib\site-packages (from pywarping) (3.4.2) Collecting dlib Using cached dlib-19.22.0.tar.gz (7.4 MB) Requirement already satisfied: click>=7.0 in c:\users\saketh\appdata\local\programs\python\python39\lib\site-packages (from pywarping) (7.1.2) Requirement already satisfied: numpy>=1.16.4 in c:\users\saketh\appdata\local\programs\python\python39\lib\site-packages (from pywarping) (1.20.0) Requirement already satisfied: kiwisolver>=1.0.1 in c:\users\saketh\appdata\local\programs\python\python39\lib\site-packages (from matplotlib>=2.0.0->pywarping) (1.3.1) Requirement already satisfied: pyparsing>=2.2.1 in c:\users\saketh\appdata\local\programs\python\python39\lib\site-packages (from matplotlib>=2.0.0->pywarping) (2.4.7) Requirement already satisfied: cycler>=0.10 in c:\users\saketh\appdata\local\programs\python\python39\lib\site-packages (from matplotlib>=2.0.0->pywarping) (0.10.0) Requirement already satisfied: pillow>=6.2.0 in c:\users\saketh\appdata\local\programs\python\python39\lib\site-packages (from matplotlib>=2.0.0->pywarping) (8.1.2) Requirement already satisfied: python-dateutil>=2.7 in c:\users\saketh\appdata\local\programs\python\python39\lib\site-packages (from matplotlib>=2.0.0->pywarping) (2.8.1) Requirement already satisfied: six in c:\users\saketh\appdata\local\programs\python\python39\lib\site-packages (from cycler>=0.10->matplotlib>=2.0.0->pywarping) (1.15.0) Requirement already satisfied: networkx>=2.0 in c:\users\saketh\appdata\local\programs\python\python39\lib\site-packages (from scikit-image->pywarping) (2.5.1) Requirement already satisfied: scipy>=1.0.1 in c:\users\saketh\appdata\local\programs\python\python39\lib\site-packages (from scikit-image->pywarping) (1.6.3) Requirement already satisfied: imageio>=2.3.0 in c:\users\saketh\appdata\local\programs\python\python39\lib\site-packages (from scikit-image->pywarping) (2.9.0) Requirement already satisfied: tifffile>=2019.7.26 in c:\users\saketh\appdata\local\programs\python\python39\lib\site-packages (from scikit-image->pywarping) (2021.6.14) Requirement already satisfied: PyWavelets>=1.1.1 in c:\users\saketh\appdata\local\programs\python\python39\lib\site-packages (from scikit-image->pywarping) (1.1.1) Requirement already satisfied: decorator<5,>=4.3 in c:\users\saketh\appdata\local\programs\python\python39\lib\site-packages (from networkx>=2.0->scikit-image->pywarping) (4.4.2) Building wheels for collected packages: dlib Building wheel for dlib (setup.py) ... error ERROR: Command errored out with exit status 1: command: 'c:\users\saketh\appdata\local\programs\python\python39\python.exe' -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\Users\saketh\AppData\Local\Temp\pip-install-n2rkpdbi\dlib_d0a2d4f321944269b438c57829027f12\setup.py'"'"'; file='"'"'C:\Users\saketh\AppData\Local\Temp\pip-install-n2rkpdbi\dlib_d0a2d4f321944269b438c57829027f12\setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(file) if os.path.exists(file) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' bdist_wheel -d 'C:\Users\saketh\AppData\Local\Temp\pip-wheel-3lg422aj' cwd: C:\Users\saketh\AppData\Local\Temp\pip-install-n2rkpdbi\dlib_d0a2d4f321944269b438c57829027f12
    Complete output (58 lines): running bdist_wheel running build running build_py package init file 'tools\python\dlib_init_.py' not found (or not a regular file) running build_ext Building extension for Python 3.9.1 (tags/v3.9.1:1e5d33e, Dec 7 2020, 17:08:21) [MSC v.1927 64 bit (AMD64)] Invoking CMake setup: 'cmake C:\Users\saketh\AppData\Local\Temp\pip-install-n2rkpdbi\dlib_d0a2d4f321944269b438c57829027f12\tools\python -DCMAKE_LIBRARY_OUTPUT_DIRECTORY=C:\Users\saketh\AppData\Local\Temp\pip-install-n2rkpdbi\dlib_d0a2d4f321944269b438c57829027f12\build\lib.win-amd64-3.9 -DPYTHON_EXECUTABLE=c:\users\saketh\appdata\local\programs\python\python39\python.exe -DCMAKE_LIBRARY_OUTPUT_DIRECTORY_RELEASE=C:\Users\saketh\AppData\Local\Temp\pip-install-n2rkpdbi\dlib_d0a2d4f321944269b438c57829027f12\build\lib.win-amd64-3.9 -A x64' -- Building for: NMake Makefiles CMake Error at CMakeLists.txt:5 (message):

    !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
    
    
    You must use Visual Studio to build a python extension on windows.  If you
    are getting this error it means you have not installed Visual C++.  Note
    that there are many flavors of Visual Studio, like Visual Studio for C#
    development.  You need to install Visual Studio for C++.
    
    
    !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
    

    -- Configuring incomplete, errors occurred! Traceback (most recent call last): File "", line 1, in File "C:\Users\saketh\AppData\Local\Temp\pip-install-n2rkpdbi\dlib_d0a2d4f321944269b438c57829027f12\setup.py", line 222, in setup( File "c:\users\saketh\appdata\local\programs\python\python39\lib\site-packages\setuptools_init_.py", line 153, in setup return distutils.core.setup(**attrs) File "c:\users\saketh\appdata\local\programs\python\python39\lib\distutils\core.py", line 148, in setup dist.run_commands() File "c:\users\saketh\appdata\local\programs\python\python39\lib\distutils\dist.py", line 966, in run_commands self.run_command(cmd) File "c:\users\saketh\appdata\local\programs\python\python39\lib\distutils\dist.py", line 985, in run_command cmd_obj.run() File "c:\users\saketh\appdata\local\programs\python\python39\lib\site-packages\wheel\bdist_wheel.py", line 299, in run self.run_command('build') File "c:\users\saketh\appdata\local\programs\python\python39\lib\distutils\cmd.py", line 313, in run_command self.distribution.run_command(command) File "c:\users\saketh\appdata\local\programs\python\python39\lib\distutils\dist.py", line 985, in run_command cmd_obj.run() File "c:\users\saketh\appdata\local\programs\python\python39\lib\distutils\command\build.py", line 135, in run self.run_command(cmd_name) File "c:\users\saketh\appdata\local\programs\python\python39\lib\distutils\cmd.py", line 313, in run_command self.distribution.run_command(command) File "c:\users\saketh\appdata\local\programs\python\python39\lib\distutils\dist.py", line 985, in run_command cmd_obj.run() File "C:\Users\saketh\AppData\Local\Temp\pip-install-n2rkpdbi\dlib_d0a2d4f321944269b438c57829027f12\setup.py", line 134, in run self.build_extension(ext) File "C:\Users\saketh\AppData\Local\Temp\pip-install-n2rkpdbi\dlib_d0a2d4f321944269b438c57829027f12\setup.py", line 171, in build_extension subprocess.check_call(cmake_setup, cwd=build_folder) File "c:\users\saketh\appdata\local\programs\python\python39\lib\subprocess.py", line 373, in check_call raise CalledProcessError(retcode, cmd) subprocess.CalledProcessError: Command '['cmake', 'C:\Users\saketh\AppData\Local\Temp\pip-install-n2rkpdbi\dlib_d0a2d4f321944269b438c57829027f12\tools\python', '-DCMAKE_LIBRARY_OUTPUT_DIRECTORY=C:\Users\saketh\AppData\Local\Temp\pip-install-n2rkpdbi\dlib_d0a2d4f321944269b438c57829027f12\build\lib.win-amd64-3.9', '-DPYTHON_EXECUTABLE=c:\users\saketh\appdata\local\programs\python\python39\python.exe', '-DCMAKE_LIBRARY_OUTPUT_DIRECTORY_RELEASE=C:\Users\saketh\AppData\Local\Temp\pip-install-n2rkpdbi\dlib_d0a2d4f321944269b438c57829027f12\build\lib.win-amd64-3.9', '-A', 'x64']' returned non-zero exit status 1.

    ERROR: Failed building wheel for dlib Running setup.py clean for dlib Failed to build dlib Installing collected packages: dlib, pywarping Running setup.py install for dlib ... error ERROR: Command errored out with exit status 1: command: 'c:\users\saketh\appdata\local\programs\python\python39\python.exe' -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\Users\saketh\AppData\Local\Temp\pip-install-n2rkpdbi\dlib_d0a2d4f321944269b438c57829027f12\setup.py'"'"'; file='"'"'C:\Users\saketh\AppData\Local\Temp\pip-install-n2rkpdbi\dlib_d0a2d4f321944269b438c57829027f12\setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(file) if os.path.exists(file) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' install --record 'C:\Users\saketh\AppData\Local\Temp\pip-record-j6g7aj6l\install-record.txt' --single-version-externally-managed --compile --install-headers 'c:\users\saketh\appdata\local\programs\python\python39\Include\dlib' cwd: C:\Users\saketh\AppData\Local\Temp\pip-install-n2rkpdbi\dlib_d0a2d4f321944269b438c57829027f12
    Complete output (60 lines): running install running build running build_py package init file 'tools\python\dlib_init_.py' not found (or not a regular file) running build_ext Building extension for Python 3.9.1 (tags/v3.9.1:1e5d33e, Dec 7 2020, 17:08:21) [MSC v.1927 64 bit (AMD64)] Invoking CMake setup: 'cmake C:\Users\saketh\AppData\Local\Temp\pip-install-n2rkpdbi\dlib_d0a2d4f321944269b438c57829027f12\tools\python -DCMAKE_LIBRARY_OUTPUT_DIRECTORY=C:\Users\saketh\AppData\Local\Temp\pip-install-n2rkpdbi\dlib_d0a2d4f321944269b438c57829027f12\build\lib.win-amd64-3.9 -DPYTHON_EXECUTABLE=c:\users\saketh\appdata\local\programs\python\python39\python.exe -DCMAKE_LIBRARY_OUTPUT_DIRECTORY_RELEASE=C:\Users\saketh\AppData\Local\Temp\pip-install-n2rkpdbi\dlib_d0a2d4f321944269b438c57829027f12\build\lib.win-amd64-3.9 -A x64' -- Building for: NMake Makefiles CMake Error at CMakeLists.txt:5 (message):

      !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
    
    
      You must use Visual Studio to build a python extension on windows.  If you
      are getting this error it means you have not installed Visual C++.  Note
      that there are many flavors of Visual Studio, like Visual Studio for C#
      development.  You need to install Visual Studio for C++.
    
    
      !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
    
    
    
    
    -- Configuring incomplete, errors occurred!
    Traceback (most recent call last):
      File "<string>", line 1, in <module>
      File "C:\Users\saketh\AppData\Local\Temp\pip-install-n2rkpdbi\dlib_d0a2d4f321944269b438c57829027f12\setup.py", line 222, in <module>
        setup(
      File "c:\users\saketh\appdata\local\programs\python\python39\lib\site-packages\setuptools\__init__.py", line 153, in setup
        return distutils.core.setup(**attrs)
      File "c:\users\saketh\appdata\local\programs\python\python39\lib\distutils\core.py", line 148, in setup
        dist.run_commands()
      File "c:\users\saketh\appdata\local\programs\python\python39\lib\distutils\dist.py", line 966, in run_commands
        self.run_command(cmd)
      File "c:\users\saketh\appdata\local\programs\python\python39\lib\distutils\dist.py", line 985, in run_command
        cmd_obj.run()
      File "c:\users\saketh\appdata\local\programs\python\python39\lib\site-packages\setuptools\command\install.py", line 61, in run
        return orig.install.run(self)
      File "c:\users\saketh\appdata\local\programs\python\python39\lib\distutils\command\install.py", line 546, in run
        self.run_command('build')
      File "c:\users\saketh\appdata\local\programs\python\python39\lib\distutils\cmd.py", line 313, in run_command
        self.distribution.run_command(command)
      File "c:\users\saketh\appdata\local\programs\python\python39\lib\distutils\dist.py", line 985, in run_command
        cmd_obj.run()
      File "c:\users\saketh\appdata\local\programs\python\python39\lib\distutils\command\build.py", line 135, in run
        self.run_command(cmd_name)
      File "c:\users\saketh\appdata\local\programs\python\python39\lib\distutils\cmd.py", line 313, in run_command
        self.distribution.run_command(command)
      File "c:\users\saketh\appdata\local\programs\python\python39\lib\distutils\dist.py", line 985, in run_command
        cmd_obj.run()
      File "C:\Users\saketh\AppData\Local\Temp\pip-install-n2rkpdbi\dlib_d0a2d4f321944269b438c57829027f12\setup.py", line 134, in run
        self.build_extension(ext)
      File "C:\Users\saketh\AppData\Local\Temp\pip-install-n2rkpdbi\dlib_d0a2d4f321944269b438c57829027f12\setup.py", line 171, in build_extension
        subprocess.check_call(cmake_setup, cwd=build_folder)
      File "c:\users\saketh\appdata\local\programs\python\python39\lib\subprocess.py", line 373, in check_call
        raise CalledProcessError(retcode, cmd)
    subprocess.CalledProcessError: Command '['cmake', 'C:\\Users\\saketh\\AppData\\Local\\Temp\\pip-install-n2rkpdbi\\dlib_d0a2d4f321944269b438c57829027f12\\tools\\python', '-DCMAKE_LIBRARY_OUTPUT_DIRECTORY=C:\\Users\\saketh\\AppData\\Local\\Temp\\pip-install-n2rkpdbi\\dlib_d0a2d4f321944269b438c57829027f12\\build\\lib.win-amd64-3.9', '-DPYTHON_EXECUTABLE=c:\\users\\saketh\\appdata\\local\\programs\\python\\python39\\python.exe', '-DCMAKE_LIBRARY_OUTPUT_DIRECTORY_RELEASE=C:\\Users\\saketh\\AppData\\Local\\Temp\\pip-install-n2rkpdbi\\dlib_d0a2d4f321944269b438c57829027f12\\build\\lib.win-amd64-3.9', '-A', 'x64']' returned non-zero exit status 1.
    ----------------------------------------
    

    ERROR: Command errored out with exit status 1: 'c:\users\saketh\appdata\local\programs\python\python39\python.exe' -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\Users\saketh\AppData\Local\Temp\pip-install-n2rkpdbi\dlib_d0a2d4f321944269b438c57829027f12\setup.py'"'"'; file='"'"'C:\Users\saketh\AppData\Local\Temp\pip-install-n2rkpdbi\dlib_d0a2d4f321944269b438c57829027f12\setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(file) if os.path.exists(file) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' install --record 'C:\Users\saketh\AppData\Local\Temp\pip-record-j6g7aj6l\install-record.txt' --single-version-externally-managed --compile --install-headers 'c:\users\saketh\appdata\local\programs\python\python39\Include\dlib' Check the logs for full command output.`

    opened by RandomTextWritten 3
  • Error in using pywarping

    Error in using pywarping

    I have finally downloaded visual studio 2019 C++(finally) aaaand I get this error :C

    Exception has occurred: AttributeError module 'urllib' has no attribute 'request' File "C:\Users\saketh\OneDrive\Documents\Code\Python\pywarpingtest.py", line 12, in <module> lf = LandmarkFace.estimate(img)

    opened by RandomTextWritten 6
Releases(0.2)
Owner
Dopevog
| Hey 👋 | ¯\_(ツ)_/¯ | 14 |
Dopevog
Repo for flood prediction using LSTMs and HAND

Abstract Every year, floods cause billions of dollars’ worth of damages to life, crops, and property. With a proper early flood warning system in plac

1 Oct 27, 2021
Converting CPT to bert form for use

cpt-encoder 将CPT转成bert形式使用 说明 刚刚刷到又出了一种模型:CPT,看论文显示,在很多中文任务上性能比mac bert还好,就迫不及待想把它用起来。 根据对源码的研究,发现该模型在做nlu建模时主要用的encoder部分,也就是bert,因此我将这部分权重转为bert权重类型

黄辉 1 Oct 14, 2021
CVPR 2022 "Online Convolutional Re-parameterization"

OREPA: Online Convolutional Re-parameterization This repo is the PyTorch implementation of our paper to appear in CVPR2022 on "Online Convolutional Re

Mu Hu 121 Dec 21, 2022
Localized representation learning from Vision and Text (LoVT)

Localized Vision-Text Pre-Training Contrastive learning has proven effective for pre- training image models on unlabeled data and achieved great resul

Philip Müller 10 Dec 07, 2022
This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".

Deep Conditional Gaussian Mixture Model for Constrained Clustering. This repository holds the code for the paper Deep Conditional Gaussian Mixture Mod

17 Oct 30, 2022
Autotype on websites that have copy-paste disabled like Moodle, HackerEarth contest etc.

Autotype A quick and small python script that helps you autotype on websites that have copy paste disabled like Moodle, HackerEarth contests etc as it

Tushar 32 Nov 03, 2022
Code for MSc Quantitative Finance Dissertation

MSc Dissertation Code ReadMe Sector Volatility Prediction Performance Using GARCH Models and Artificial Neural Networks Curtis Nybo MSc Quantitative F

2 Dec 01, 2022
TorchMD-Net provides state-of-the-art graph neural networks and equivariant transformer neural networks potentials for learning molecular potentials

TorchMD-net TorchMD-Net provides state-of-the-art graph neural networks and equivariant transformer neural networks potentials for learning molecular

TorchMD 104 Jan 03, 2023
Fully Adaptive Bayesian Algorithm for Data Analysis (FABADA) is a new approach of noise reduction methods. In this repository is shown the package developed for this new method based on \citepaper.

Fully Adaptive Bayesian Algorithm for Data Analysis FABADA FABADA is a novel non-parametric noise reduction technique which arise from the point of vi

18 Oct 20, 2022
Pytorch version of VidLanKD: Improving Language Understanding viaVideo-Distilled Knowledge Transfer

VidLanKD Implementation of VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer by Zineng Tang, Jaemin Cho, Hao Tan, Mohi

Zineng Tang 54 Dec 20, 2022
Transformer in Computer Vision

Transformer-in-Vision A paper list of some recent Transformer-based CV works. If you find some ignored papers, please open issues or pull requests. **

506 Dec 26, 2022
PyTorch implementation of CDistNet: Perceiving Multi-Domain Character Distance for Robust Text Recognition

PyTorch implementation of CDistNet: Perceiving Multi-Domain Character Distance for Robust Text Recognition The unofficial code of CDistNet. Now, we ha

25 Jul 20, 2022
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning Tensorflow code and models for the paper: Large Scale Fine-Grained Categ

Yin Cui 187 Oct 01, 2022
Code for the paper "MASTER: Multi-Aspect Non-local Network for Scene Text Recognition" (Pattern Recognition 2021)

MASTER-PyTorch PyTorch reimplementation of "MASTER: Multi-Aspect Non-local Network for Scene Text Recognition" (Pattern Recognition 2021). This projec

Wenwen Yu 255 Dec 29, 2022
Pytorch implementation of Masked Auto-Encoder

Masked Auto-Encoder (MAE) Pytorch implementation of Masked Auto-Encoder: Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross Girshick

Jiyuan 22 Dec 13, 2022
A transformer model to predict pathogenic mutations

MutFormer MutFormer is an application of the BERT (Bidirectional Encoder Representations from Transformers) NLP (Natural Language Processing) model wi

Wang Genomics Lab 2 Nov 29, 2022
PyTorch version repo for CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

Study-CSRNet-pytorch This is the PyTorch version repo for CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

0 Mar 01, 2022
Video-based open-world segmentation

UVO_Challenge Team Alpes_runner Solutions This is an official repo for our UVO Challenge solutions for Image/Video-based open-world segmentation. Our

Yuming Du 84 Dec 22, 2022
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

This is the Vowpal Wabbit fast online learning code. Why Vowpal Wabbit? Vowpal Wabbit is a machine learning system which pushes the frontier of machin

Vowpal Wabbit 8.1k Jan 06, 2023
This script scrapes and stores the availability of timeslots for Car Driving Test at all RTA Serivce NSW centres in the state.

This script scrapes and stores the availability of timeslots for Car Driving Test at all RTA Serivce NSW centres in the state. Dependencies Account wi

Balamurugan Soundararaj 21 Dec 14, 2022