JarCastingA Video Stream Analysis and Manipulation Framework for Java and C++, where custom filters can be simply added into the processing pipeline.
For more visit the Description on GitHub Pages.
Status
For current or full status see Release Notes.
| Лицензия |
Лицензия |
|---|---|
| Категории |
КатегорииOpenCV Прикладные библиотеки Computer Vision Native Инструменты разработки |
| Группа | Группаde.serviceflow.frankenstein.plugin.opencv |
| Идентификатор | Идентификаторjniplugin-native |
| Последняя версия | Последняя версия0.3.6 |
| Дата | Дата |
| Тип | Типpom |
| Описание |
ОписаниеOpenCV Filters - Native part - switch
Frankenstein VR Video Converter for Virtual Reality and 3D
|
| Организация-разработчик |
Организация-разработчик |
| Имя Файла | Размер |
|---|---|
| jniplugin-native-0.3.6.pom | 1 KB |
| Обзор |
<!-- https://jarcasting.com/artifacts/de.serviceflow.frankenstein.plugin.opencv/jniplugin-native/ -->
<dependency>
<groupId>de.serviceflow.frankenstein.plugin.opencv</groupId>
<artifactId>jniplugin-native</artifactId>
<version>0.3.6</version>
<type>pom</type>
</dependency>// https://jarcasting.com/artifacts/de.serviceflow.frankenstein.plugin.opencv/jniplugin-native/
implementation 'de.serviceflow.frankenstein.plugin.opencv:jniplugin-native:0.3.6'// https://jarcasting.com/artifacts/de.serviceflow.frankenstein.plugin.opencv/jniplugin-native/
implementation ("de.serviceflow.frankenstein.plugin.opencv:jniplugin-native:0.3.6")'de.serviceflow.frankenstein.plugin.opencv:jniplugin-native:pom:0.3.6'<dependency org="de.serviceflow.frankenstein.plugin.opencv" name="jniplugin-native" rev="0.3.6">
<artifact name="jniplugin-native" type="pom" />
</dependency>@Grapes(
@Grab(group='de.serviceflow.frankenstein.plugin.opencv', module='jniplugin-native', version='0.3.6')
)libraryDependencies += "de.serviceflow.frankenstein.plugin.opencv" % "jniplugin-native" % "0.3.6"[de.serviceflow.frankenstein.plugin.opencv/jniplugin-native "0.3.6"]A Video Stream Analysis and Manipulation Framework for Java and C++, where custom filters can be simply added into the processing pipeline.
For more visit the Description on GitHub Pages.
For current or full status see Release Notes.