Skip to content
/ HCFN Public

[under review]Hierarchical Color Fusion Network (HCFN): Enhancing Exemplar-based Video Colorization

Notifications You must be signed in to change notification settings

wangyins/HCFN

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

44 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

HCFN (Pytorch Implementation)

EvalSet-1 EvalSet-2

This is an offical implementation for "Hierarchical Color Fusion Network (HCFN): Enhancing Exemplar-based Video Colorization".

Table of Contents

Prerequisites

  • Ubuntu 16.04
  • Python 3.6.10
  • CPU or NVIDIA GPU + CUDA 10.2 CuDNN
  • PyTorch 1.5.1

Getting Started

Installation

  • Clone this repository and install virtual environment.
git clone https://github.com/wangyins/HCFN
cd HCFN
conda env create -f environment.yaml
  • Download model weights from this link to get "checkpoints.zip"
mkdir -p checkpoints/imagenet/
cd checkpoints/imagenet/
unzip checkpoints.zip

Testing

sh test.sh

Training

sh train.sh

About

[under review]Hierarchical Color Fusion Network (HCFN): Enhancing Exemplar-based Video Colorization

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published