abiusx / clpatchmatch Goto Github PK
View Code? Open in Web Editor NEWOpenCL (realtime) implementation of patch match image processing algorithm (Python and C)
OpenCL (realtime) implementation of patch match image processing algorithm (Python and C)
Hey hey,
when i run it the only thing i see is
Segmentation fault (core dumped)
any hints?
Hello!
I think this straightforward port to parallel implementation is not correct.
Because (x, y) patch must be computed from (x+dir, y+dir) patches that already processed.
But in your code I cannot find any synchronizations.
Thanks,
Andrey.
I can run multiple times and sometimes get error:
pyopencl.RuntimeError: clEnqueueReadBuffer failed: out of resources
after one or more iterations using the bike_a.png and bike_b.png files and main in demo mode straight from github. Sometimes it runs to completion and sometimes it stops part way through with above error.
Output on fail case:
Please wait a few seconds...
('file 0 = ', 'bike_a.png', ' file 1 = ', 'bike_b.png')
('img shape = ', (175, 239, 3))
('iteration', 1)
('mean block difference:', 11.847692226259401)
('iteration', 2)
('mean block difference:', 1.4053478590557273)
('iteration', 3)
('mean block difference:', 1.0751794090974331)
('iteration', 4)
('mean block difference:', 0.92336860183560998)
('iteration', 5)
('mean block difference:', 0.84552383540750564)
Traceback (most recent call last):
File "main.py", line 195, in <module>
patchmatch.match(files,Demo=True)
File "main.py", line 186, in match
self.execute();
File "main.py", line 116, in execute
cl.enqueue_read_buffer(self.queue, self.outputBuf, c).wait()
File "/usr/lib/python2.7/dist-packages/pyopencl/__init__.py", line 860, in new_func
return func(*args, **kwargs)
pyopencl.RuntimeError: clEnqueueReadBuffer failed: out of resources
When it runs successfully I get the following output:
Please wait a few seconds...
('file 0 = ', 'bike_a.png', ' file 1 = ', 'bike_b.png')
('img shape = ', (175, 239, 3))
('iteration', 1)
('mean block difference:', 11.847692226259401)
('iteration', 2)
('mean block difference:', 1.4053478590557273)
('iteration', 3)
('mean block difference:', 1.0751713650301336)
('iteration', 4)
('mean block difference:', 0.92228370782616687)
('iteration', 5)
('mean block difference:', 0.84449662336199371)
('iteration', 6)
('mean block difference:', 0.78995643332834575)
('iteration', 7)
('mean block difference:', 0.75182238942455692)
('iteration', 8)
('mean block difference:', 0.72269540056274861)
('iteration', 9)
('mean block difference:', 0.70064447195375668)
('iteration', 10)
('mean block difference:', 0.68212381211217721)
('iteration', 11)
('mean block difference:', 0.6671923072248922)
('iteration', 12)
('mean block difference:', 0.65498817675593513)
('iteration', 13)
('mean block difference:', 0.64466970594863771)
('iteration', 14)
('mean block difference:', 0.63470502613937019)
('iteration', 15)
('mean block difference:', 0.62660883279387825)
('iteration', 16)
('mean block difference:', 0.61789773527170389)
('iteration', 17)
('mean block difference:', 0.61108444301768117)
('iteration', 18)
('mean block difference:', 0.60394420541486304)
('iteration', 19)
('mean block difference:', 0.59827319833725168)
('iteration', 20)
('mean block difference:', 0.59298303466078317)
('randomfill', ':', 0.003, 'seconds')
('execute', ':', 0.137, 'seconds')
('init', ':', 0.519, 'seconds')
Done.
Please let me know the license information for using this code.
Hi,
I am considering using this code and was wondering what license it is under?
Thank You,
YL
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