The official repository for Deep Image Matting with Flexible Guidance Input

Overview

FGI-Matting

The official repository for Deep Image Matting with Flexible Guidance Input.

Paper: https://arxiv.org/abs/2110.10898

image

all

Requirements

  • easydict
  • numpy
  • opencv-python
  • Pillow
  • PyQt5
  • scikit-image
  • scipy
  • toml
  • torch>=1.5.0
  • torchvision

Models and supplementary data for DIM test set(Composition-1k) and Distinctions-646 test set

Google drive: https://drive.google.com/drive/folders/13qnlXUSKS5HfkfvzdMKAv7FvJ6YV_wPK?usp=sharing
百度网盘: https://pan.baidu.com/s/1ZYcbwyCIrL6G9t7pkCIBYw 提取码: zjtj

  • Weight_DIM.pth The model trained with Adobe matting dataset.

  • Weight_D646.pth The model trained with Distincions-646 dataset.

  • DIM_test_supp_data.zip Scribblemaps and Clickmaps for DIM test set.

  • D-646_test_supp_data.zip Scribblemaps and Clickmaps for Distinctions-646 test set.

Place Weight_DIM.pth and Weight_D646.pth in ./checkpoints.
Edit ./config/FGI_config to modify the path of the testset and choose the checkpoint name.

Test on DIM test set(Composition-1k)

Methods SAD MSE Grad Conn
Trimap test 30.19 0.0061 13.07 26.66
Scribblemap test 32.86 0.0090 14.18 29.09
Clickmap test 34.67 0.0112 15.45 30.96
No guidance test 36.36 0.0141 15.23 32.76

"checkpoint" in ./config/FGI_config.toml should be "Weight_DIM".
bash test.sh
Modify "guidancemap_phase" in ./config/FGI_config.toml to test on trimap, scribblemap, clickmap and No_guidance.
For further test, please use the code in ./DIM_evaluation_code and the predicted alpha mattes in ./alpha_pred.

Test on Distinctions-646 test set(Not appear in the paper)

Methods SAD MSE Grad Conn
Trimap test 28.90 0.0105 24.67 27.40
Scribblemap test 33.22 0.0131 26.93 31.38
Clickmap test 34.97 0.0146 27.60 33.11
No guidance test 36.83 0.0156 28.28 34.90

"checkpoint" in ./config/FGI_config.toml should be "Weight_D646".
bash test.sh
Modify "guidancemap_phase" in ./config/FGI_config.toml to test on trimap, scribblemap, clickmap and No_guidance.
For further test, please use the code in ./DIM_evaluation_code and the predicted alpha mattes in ./alpha_pred.

The QT Demo

Copy one of the pth file and rename it "Weight_qt_in_use.pth", also place it in ./checkpoints.
Run test_one_img_qt.py. Try images in ./testimg. It will use GPU if avaliable, otherwise it will use CPU.

demo

I recommend to use the one trained on DIM dataset.
Have fun :D

Acknowledgment

GCA-Matting: https://github.com/Yaoyi-Li/GCA-Matting

Owner
Hang Cheng
Hang Cheng
This project is for a Twitter bot that monitors a bird feeder in my backyard. Any detected birds are identified and posted to Twitter.

Backyard Birdbot Introduction This is a silly hobby project to use existing ML models to: Detect any birds sighted by a webcam Identify whic

Chi Young Moon 71 Dec 25, 2022
1st ranked 'driver careless behavior detection' for AI Online Competition 2021, hosted by MSIT Korea.

2021AICompetition-03 본 repo 는 mAy-I Inc. 팀으로 참가한 2021 인공지능 온라인 경진대회 중 [이미지] 운전 사고 예방을 위한 운전자 부주의 행동 검출 모델] 태스크 수행을 위한 레포지토리입니다. mAy-I 는 과학기술정보통신부가 주최하

Junhyuk Park 9 Dec 01, 2022
ALBERT-pytorch-implementation - ALBERT pytorch implementation

ALBERT-pytorch-implementation developing... 모델의 개념이해를 돕기 위한 구현물로 현재 변수명을 상세히 적었고

BG Kim 3 Oct 06, 2022
The official implementation of the CVPR 2021 paper FAPIS: a Few-shot Anchor-free Part-based Instance Segmenter

FAPIS The official implementation of the CVPR 2021 paper FAPIS: a Few-shot Anchor-free Part-based Instance Segmenter Introduction This repo is primari

Khoi Nguyen 8 Dec 11, 2022
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks

YOLOR implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks To reproduce the results in the paper, please us

Kin-Yiu, Wong 1.8k Jan 04, 2023
Edge Restoration Quality Assessment

ERQA - Edge Restoration Quality Assessment ERQA - a full-reference quality metric designed to analyze how good image and video restoration methods (SR

MSU Video Group 27 Dec 17, 2022
Material del curso IIC2233 Programación Avanzada 📚

Contenidos Los contenidos se organizan según la semana del semestre en que nos encontremos, y según la semana que se destina para su estudio. Los cont

IIC2233 @ UC 72 Dec 23, 2022
How Effective is Incongruity? Implications for Code-mix Sarcasm Detection.

Code for the paper: How Effective is Incongruity? Implications for Code-mix Sarcasm Detection - ICON ACL 2021

2 Jun 05, 2022
[CVPR 2022 Oral] TubeDETR: Spatio-Temporal Video Grounding with Transformers

TubeDETR: Spatio-Temporal Video Grounding with Transformers Website • STVG Demo • Paper This repository provides the code for our paper. This includes

Antoine Yang 108 Dec 27, 2022
DNA-RECON { Automatic Web Reconnaissance Tool }

ABOUT TOOL : DNA-RECON is an automatic web reconnaissance tool written in python. This tool made for reconnaissance and information gathering with an

NIKUNJ BHATT 25 Aug 11, 2021
Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.

Couler What is Couler? Couler aims to provide a unified interface for constructing and managing workflows on different workflow engines, such as Argo

Couler Project 781 Jan 03, 2023
[AAAI 2021] MVFNet: Multi-View Fusion Network for Efficient Video Recognition

MVFNet: Multi-View Fusion Network for Efficient Video Recognition (AAAI 2021) Overview We release the code of the MVFNet (Multi-View Fusion Network).

Wenhao Wu 114 Nov 27, 2022
The aim of this project is to build an AI bot that can play the Wordle game, or more generally Squabble

Wordle RL The aim of this project is to build an AI bot that can play the Wordle game, or more generally Squabble I know there are more deterministic

Aditya Arora 3 Feb 22, 2022
Team Enigma at ArgMining 2021 Shared Task: Leveraging Pretrained Language Models for Key Point Matching

Team Enigma at ArgMining 2021 Shared Task: Leveraging Pretrained Language Models for Key Point Matching This is our attempt of the shared task on Quan

Manav Nitin Kapadnis 12 Jul 08, 2022
PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy

Anomaly Transformer in PyTorch This is an implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy. This pape

spencerbraun 160 Dec 19, 2022
JUSTICE: A Benchmark Dataset for Supreme Court’s Judgment Prediction

JUSTICE: A Benchmark Dataset for Supreme Court’s Judgment Prediction CSCI 544 Final Project done by: Mohammed Alsayed, Shaayan Syed, Mohammad Alali, S

Smit Patel 3 Dec 28, 2022
PyTorch implementations of deep reinforcement learning algorithms and environments

Deep Reinforcement Learning Algorithms with PyTorch This repository contains PyTorch implementations of deep reinforcement learning algorithms and env

Petros Christodoulou 4.7k Jan 04, 2023
A python package to perform same transformation to coco-annotation as performed on the image.

coco-transform-util A python package to perform same transformation to coco-annotation as performed on the image. Installation Way 1 $ git clone https

1 Jan 14, 2022
Pynomial - a lightweight python library for implementing the many confidence intervals for the risk parameter of a binomial model

Pynomial - a lightweight python library for implementing the many confidence intervals for the risk parameter of a binomial model

Demetri Pananos 9 Oct 04, 2022
Using OpenAI's CLIP to upscale and enhance images

CLIP Upscaler and Enhancer Using OpenAI's CLIP to upscale and enhance images Based on nshepperd's JAX CLIP Guided Diffusion v2.4 Sample Results Viewpo

Tripp Lyons 5 Jun 14, 2022