https://github.com/shineiarakawa/imagepipeline

Fast and scalable GUI tool for editing large amount of images at one time.
https://github.com/shineiarakawa/imagepipeline

Last synced: 6 days ago
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Fast and scalable GUI tool for editing large amount of images at one time.

• Host: GitHub
• URL: https://github.com/shineiarakawa/imagepipeline
• Owner: ShineiArakawa
• Created: 2023-01-30T11:20:13.000Z (almost 2 years ago)
• Default Branch: master
• Last Pushed: 2023-02-05T15:13:23.000Z (almost 2 years ago)
• Last Synced: 2023-05-29T08:25:58.408Z (over 1 year ago)
• Language: Java
• Homepage:
• Size: 291 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# ImagePipeline

Fast and scalable GUI tool for editing large amount of images at one time.

## Introduction

A large number of images can be processed at once. Multi-threading allows for fast loading, editing, and saving of images, and converts large amounts of image data in a short period of time.

This program is still in the development stage and currently supports only image resizing as an editing method, but we expect to implement various other editing methods in the future.

## Design Concepts

The pipeline is created by defining the various edits as modules and arranging them in series. The pipeline then passes the loaded images to perform batch editing on a large number of images.

## Technical Policies

The GUI and pipeline execution parts are implemented using Java. On the other hand, the image editing process uses OpenCV, which allows for scalability in image processing.

## Requirements

The following libraries are necessary to build this program.  

- ```Apache ant```

- ```Java Development Kit```

- ```cmake```

- ```make``` and compilers for C++

## How to build

First, clone this repository and build OpenCV. In this example, we are going to build OpenCV library in the ```lib``` folder.

If you want to use another version of OpenCV, you need to build following the instrunctions on [Link](https://opencv-java-tutorials.readthedocs.io/en/latest/01-installing-opencv-for-java.html#install-opencv-3-x-under-linux). The above site shows how to build OpenCV for Java using ```cmake-gui```.

Yet, using ```CMakeLists.txt``` file in the OpenCV folder of our repo,  you can built without using ```cmake-gui```.

```bash

git clone https://github.com/ShineiArakawa/ImagePipeline.git

cd ImagePipeline

cd lib

unzip opencv-4.6.0.zip

cd opencv-4.6.0

mkdir build

cd build

cmake ..

make -j

```

Then, run ```ant``` to compile Java sources.

If you use another version of OpenCV, you need to edit  ```OPENCV_JAR_DIR``` and ```OPENCV_LIB_DIR``` in ```build.properties```.

```bash

cd ImagePipeline

cp build.properties_template build.properties

ant run

```