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https://github.com/moeoverflow/animeloop-cli
Automatically detect and cut anime loops.
https://github.com/moeoverflow/animeloop-cli
anime animeloop loop loop-video opencv video
Last synced: about 1 month ago
JSON representation
Automatically detect and cut anime loops.
- Host: GitHub
- URL: https://github.com/moeoverflow/animeloop-cli
- Owner: moeoverflow
- License: mit
- Created: 2017-02-10T15:32:55.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2019-12-18T12:33:08.000Z (about 5 years ago)
- Last Synced: 2024-10-29T20:18:18.095Z (about 2 months ago)
- Topics: anime, animeloop, loop, loop-video, opencv, video
- Language: C++
- Homepage: https://animeloop.org
- Size: 89.8 KB
- Stars: 96
- Watchers: 10
- Forks: 8
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-acg - animeloop-cli - Automatically detect and cut anime loops. [English] (Image Processing)
README
# animeloop-cli
Animeloop command line tool. The goal of this project is to automatically find and cut out the looping fragments in Japanese anime.
For details, please see my [technical report(English)](https://s3.moeoverflow.com/animeloop-production/static/technical_report_en.pdf), [technical report(Chinese)](https://s3.moeoverflow.com/animeloop-production/static/technical_report_zh.pdf). ([technical_report_output_example](https://s3.moeoverflow.com/animeloop-production/static/technical_report_output_example.zip)) ([technical_report_resources](https://s3.moeoverflow.com/animeloop-production/static/technical_report_resources.zip))
## Installation
### Install via Arch Linux User Repository (aur)
#### with [yaourt](https://wiki.archlinux.org/index.php/Yaourt)
``` Shell
yaourt -S animeloop-cli
```
### Docker
```Shell
docker build -t animeloop-cli .
# You should change these path: /path/to/input/file.mp4 and /path/to/ouput
docker run \
-v /path/to/input/file.mp4:/data/file.mp4 \
-v /path/to/ouput:/loops \
--rm \
animeloop-cli \
-i /data/file.mp4 \
-o /loops
```
### Install manually
#### Modules Init
``` Shell
git submodule init
git submodule update
```
#### Dependencies
##### macOS
``` Shell
# OpenCV
brew tap homebrew/science
brew install opencv3 --with-contrib --with-ffmpeg --c++11
# Boost
brew install boost
# FFmpeg
brew install ffmpeg
# Jsoncpp
brew install jsoncpp
```
##### Debian/Ubuntu
``` Shell
# OpenCV
# compiler
sudo apt-get install build-essential
# required
sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
# optional
# sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev
mkdir opencv
cd opencv
wget https://github.com/opencv/opencv/archive/3.3.1.zip -O opencv-3.3.1.zip
unzip opencv-3.3.1.zip
cd opencv-3.3.1
mkdir build
cd build
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
make -j $(nproc)
# Boost
sudo apt-get install libboost-all-dev
# FFmpeg !!!! ffmpeg version 3.x required !!!!
sudo add-apt-repository ppa:jonathonf/ffmpeg-3
sudo apt update && sudo apt install ffmpeg libav-tools x264 x265
## downgrade FFmpeg
sudo apt install ppa-purge && sudo ppa-purge ppa:jonathonf/ffmpeg-3
# Jsoncpp
sudo apt-get install libjsoncpp-dev
```
##### Arch Linux
```Shell
# Boost
pacman -S boost
# OpenCV
pacman -S opencv
pacman -S hdf5
# Jsoncpp
pacman -S jsoncpp
```
##### Windows MinGW
```shell
# - MinGW build require tool MSYS2, you sould download and install it first, then use pacman in MSYS2 Enviroment
#
# - Assume you're building to mingw64, if you'd like to build to mingw32, replace `mingw-w64-x86_64` with `mingw-w64-i686`
#
# - Some packages are updated and not compatible, so some of the steps are using `pacman -U` to install specific version
# packages with USTC Mirrors, you can change `https://mirrors.ustc.edu.cn/msys2/mingw/x86_64/` to other sources.
# Build deps
pacman -S libintl mingw-w64-x86_64-gcc mingw-w64-x86_64-cmake mingw-w64-x86_64-make
# Boost
# - It seems that when using Boost 1.66+ will cause build fail
pacman -U https://mirrors.ustc.edu.cn/msys2/mingw/x86_64/mingw-w64-x86_64-boost-1.64.0-3-any.pkg.tar.xz
# OpenCV
pacman -U https://mirrors.ustc.edu.cn/msys2/mingw/x86_64/mingw-w64-x86_64-opencv-3.4.3-2-any.pkg.tar.xz
pacman -S mingw-w64-x86_64-hdf5
# Jsoncpp
# - JSONCPP comes with cmake, so if you've install cmake manually, you're not needed to install JSONCPP again
pacman -S mingw-w64-x86_64-jsoncpp jsoncpp-devel
# FFmpeg
# - Some dll files are missing in MSYS2 MinGW64 FFmpeg package, so you should download it from other builds
# - You can also download it later, as it's not build dependency (but runtime dependency)
# pacman -U https://mirrors.ustc.edu.cn/msys2/mingw/x86_64/mingw-w64-x86_64-ffmpeg-3.4.2-1-any.pkg.tar.xz
wget https://ffmpeg.zeranoe.com/builds/win64/static/ffmpeg-3.4.2-win64-static.zip
unzip -p ffmpeg-3.4.2-win64-static.zip ffmpeg-3.4.2-win64-static/bin/ffmpeg.exe > /mingw64/bin/ffmpeg.exe
```
##### Windows via Microsoft Visual Studio
- Download and install [Microsoft Visual Studio](https://visualstudio.microsoft.com/)
> Will uses Visual Studio 2015 Enterprise (VC14) as example for below.
- Download [CMake-GUI](https://cmake.org/download/)
- Download [Boost prebuilt library](https://sourceforge.net/projects/boost/files/boost-binaries/) for VC14
> You may need a older version (< 1.66.0) in case of some unknown bug.
- Download [OpenCV prebuilt library](https://opencv.org/releases/) for Windows
> OpenCV should be 3.2+ but not 4.x
- Download [HDF5 prebuilt library](https://www.hdfgroup.org/downloads/hdf5) for VC14
> You may need an account to download the file, you can register for free or build your own.
> If you don't want to install the msi package, run `msiexec /a drive:\path\to\file.msi /qb TARGETDIR=drive:\path\to\extract`
- Download [JSONCPP prebuilt library](http://access.osvr.com/binary/deps/jsoncpp) for VC14
> You should grab a FFmpeg 3.x binary from https://ffmpeg.zeranoe.com/ to make it works.
> You should download OpenH264 1.7.0+ library file from https://github.com/cisco/openh264/releases manually.
> If you want to use it on Windows, always use backslash to set file path like `D:\path\to\video.mp4`, even under MSYS2 or Cygwin, or boost cannot find the specific path.
> You may also need Visual C++ 2015 Redistributable.
#### Compile & Build
##### Xcode
Open `animeloop-cli.xcodeproj` and run it.
(if you compile opencv source code by yourself, you maybe need edit `Linked Frameworks and Libraries` settings in Xcode project.)
##### CMake (*nix)
``` Shell
cd animeloop-cli
mkdir build && cd build
cmake ..
make animeloop-cli
```
##### MSYS2 + MinGW + CMake (Windows)
``` Shell
cd animeloop-cli
mkdir build && cd build
cmake -G "MinGw Makefiles" ..
mingw32-make.exe animeloop-cli
```
## Usage
```Shell
anime loop video generator.
Usage:
animeloop [OPTION...]
-h, --help Show animeloop help
-v, --version Show animeloop version
-i, --input arg Input video file path
-o, --output arg Output video directory path (default: .)
--title arg Title name of the source video (default:
)
-t, --thread arg Program run in n threads. (default: )
--min-duration arg Minimum duration (second) of loop video (default:
0.6)
--max-duration arg Maximum duration (second) of loop video (default:
6.0)
--cover Output loop video cover image.
# Example
./animeloop-cli -i ~/your-video-file --max-duration 4 --min-duration 1.0 --cover -o ~/Downloads/
```
## Special Thanks
* [@ccloli](https://github.com/ccloli) for Windows build support
## License
This project is available under the MIT License. See the LICENSE file for more info.