I think the original is svg however the docs use a png so it was 
converted to bit map.

JT

On 6/15/2014 10:25 AM, Gene Heskett wrote:
> On Sunday 15 June 2014 08:30:50 John Thornton did opine
> And Gene did reply:
>> I tried to split the svg image into two parts (which would show up
>> better) but I new not know how and didn't get what I expected. I
>> selected 1/2 the drawing and exported it to a .png file (in Inkscape)
>> but I got a checkerboard background instead of just white. I don't
>> recall using Inkscape before so it is a mystery to me.
>>
> I'm no expert at Inkscape either, my experience has been limited to some
> rockhopper file processing, but there, my lathes .hal file is at least 6
> pages pasted together.  And the text at that scale is both tiny &
> perfectly readable.  But thats probably pure luck.
>
>> JT
> Humm, a .svg?  that should allow full resolution at any size.  So this
> might need going clear back to the original artwork if it still exists
> after all these years.  The text I am seeing is extremely "blocky", like
> some of the original ghostscript fonts from 30 years ago when we had to
> build our own GS.
>
> Thought: The drawings are just a hair fuzzy but perfectly usable.  And it
> would likely be a PITA to blank the existing text and re-add it using a
> modern font.  Maybe I can play around in inkscape and actually learn how
> to run it?  But not today. I need a corn knife to get around in the back
> yard.
>   
>> On 6/14/2014 5:16 PM, Gene Heskett wrote:
>>> In the integrators manual, under parport, there are several drawings
>>> depicting the various options available on the various pins of the
>>> std parport.
>>>
>>> I note that in printing that manual, or in viewing it online on the
>>> linxcnc.org site, that this drawing has been compressed to the point
>>> that the pin assignment text is unreadable even on hidef screens or
>>> printers that do 600dpi or more.
>>>
>>> Would it be possible to go back to the original artwork and make new
>>> parport drawings for both the manual and the web server that are
>>> sharp enough to be read with no ambiguity?
>>>
>>> Thanks.
>>>
>>> Cheers, Gene Heskett
>> -----------------------------------------------------------------------
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>
> Cheers, Gene Heskett


------------------------------------------------------------------------------
HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions
Find What Matters Most in Your Big Data with HPCC Systems
Open Source. Fast. Scalable. Simple. Ideal for Dirty Data.
Leverages Graph Analysis for Fast Processing & Easy Data Exploration
http://p.sf.net/sfu/hpccsystems
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