For some reason I did not get the last 3 updates until this one.  Weird.

So, I have looked over a number of packages that parse tiff files.  While, 
at the most basic level, they all have to do the same sort of things, each 
one also approaches the situation a little differently.  And more so, the 
end result tends to be for custom use cases.

I already have code up on github 
<https://godoc.org/jonathanpittman.com/tiff>.  You will have to excuse my 
lack of good documentation and tests.  I was originally planning to just do 
a proof of concept for how this might work.  So, it needs some cleaning up. 
 I am also in the process of making some changes to it including the 
LICENSE.  No pull requests at this time please, but do have a look if you 
like.

I would like to see some real discussion about the approach before writing 
any more code.  I am not sure the best way to go about this discussion. 
 Does email work for everyone?  Should we use the go proposal method?  A 
shared google doc?  I would like this to eventually make its way to the 
golang.org/x/image repo.  I would like to see a collection of use cases 
that we can include when trying to solve this in an appropriate and general 
way.

On Wednesday, August 10, 2016 at 6:08:00 PM UTC-4, jonathan...@gmail.com 
wrote:
>
> I would be interested in seeing this happen.
>
> On Tuesday, July 26, 2016 at 7:36:31 PM UTC-7, Jonathan Pittman wrote:
>>
>> Well me too!  I am looking to see what level of interest there is in the 
>> Go community to see this happen.  I am also looking for people who are 
>> interested in working on this.
>>
>> Figuring out how to handle this problem for one specific camera's raw 
>> files is not too difficult.  Figuring out how to do this to handle the 
>> majority of cases requires a bit more work.
>>
>> To be clear, I am wanting a pure Go solution that is better thought out, 
>> better laid out, and better to use than the existing C/C++ options.
>>
>

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