Large Image Export

[Stephen F Northover]

.. a rare instance of Kevin getting a release name wrong!

Steve

On 2014-06-13, 11:39 AM, Kevin Rushforth wrote:
> > could be moved into 8u20
>
> I meant 8u40.
>
> -- Kevin
>
>
> Kevin Rushforth wrote:
>> This is RT-22073 <https://javafx-jira.kenai.com/browse/RT-22073> 
>> which is currently targeted for 9, but could be moved into 8u20 if 
>> there was enough demand to fix it. The (rather ugly) app-level 
>> workaround is to break the operation up into 4Kx4K tiles, and render 
>> the tiles in a loop specifying the appropriate viewport and 
>> translation via ShapshotParams.
>>
>> -- Kevin
>>
>>
>>
>> Danno Ferrin wrote:
>>> While working on a fun project I discovered that the Image Export 
>>> limits
>>> the size of the export textures, mostly depending on your graphics 
>>> stack.
>>>  Here's one example:
>>>
>>> java.lang.RuntimeException: Requested texture dimensions (20581x245)
>>> require dimensions (0x245) that exceed maximum texture size (16384)
>>> at com.sun.prism.es2.ES2RTTexture.create(ES2RTTexture.java:220)
>>> at
>>> com.sun.prism.es2.ES2ResourceFactory.createRTTexture(ES2ResourceFactory.java:106) 
>>>
>>> at
>>> com.sun.prism.es2.ES2ResourceFactory.createRTTexture(ES2ResourceFactory.java:102) 
>>>
>>> at
>>> com.sun.javafx.tk.quantum.QuantumToolkit$QuantumImage.getRT(QuantumToolkit.java:1210) 
>>>
>>> at 
>>> com.sun.javafx.tk.quantum.QuantumToolkit$18.run(QuantumToolkit.java:1345) 
>>>
>>> at 
>>> java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
>>> at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308)
>>> at com.sun.javafx.tk.RenderJob.run(RenderJob.java:58)
>>> at
>>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) 
>>>
>>> at
>>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) 
>>>
>>> at
>>> com.sun.javafx.tk.quantum.QuantumRenderer$PipelineRunnable.run(QuantumRenderer.java:129) 
>>>
>>>
>>> This is on a mid-2012 Mac Book Air, and the MacGLConext looks to limit
>>> dimensions to 2^14.
>>>
>>> Is there anything I can do other than making sure my nodes don't get 
>>> bigger
>>> than 16K on one side?  I've tried setting a transform on the 
>>> snapshot and
>>> zooming it below 16k, but it still gets the same exception with he same
>>> dimensions.
>>>
>>> --Danno