jogl.git - JOGL repository on http://jogamp.org/ ;

	Commit message (Collapse)	Author	Age	Files	Lines
*	NEWT JVM_JNI8: Adapt to native library separation (head, drm) of commit ↵	Sven Gothel	2020-01-09	1	-2/+9
\| \| \| \| \| \| \| \| \|	b91c680fb93a03720ff9fcb39cf052cfe8d40e76 See commit b91c680fb93a03720ff9fcb39cf052cfe8d40e76 To support static libraries JEP 178, we have to provide JNI_OnLoad_<libname> etc. Hence change and add function entries accordingly.
*	iOS: Initial working commit supporting iOS (ipad pro 11)	Sven Gothel	2019-06-23	1	-0/+42
	using our OpenJFK 9 x86_64 and arm64 build. Test demo class is 'com.jogamp.opengl.demos.ios.Hello', residing in the new demo folder 'src/demos/com/jogamp/opengl/demos/ios/Hello.java'. This commit does not yet include a working NEWT specialization for iOS, but it shall followup soon. Instead this commit demonstrates JOGL operating on native UIWindow, UIView and CAEAGLLayer as provided by Nativewindow's IOSUtil. Test Video https://www.youtube.com/watch?v=Z4lUQNFTGMI +++ Notable bug: The FBO used and sharing the COLORBUFFER RENDERBUFFER memory resources with CAEAGLLayer to be displayed in the UIView seemingly cannot handle GL_DEPTH_COMPONENT16, GL_DEPTH_COMPONENT24 or GL_DEPTH_COMPONENT32 depth buffer - none at all (Device + Simulation). Therefor the default demo GLEventListener chosen here don't require a depth buffer ;-) This issue can hopefully be mitigated with other means than using a flat FBO sink similar to FBO multisampling.