everyone!
I'm trying to parallelize an algorithm that uses mex files from mexopencv (KNearest.m, KNearest_.mexw32).
The program is based vlfeat (vlsift.mex32) + mexopencv (KNearest.m and KNearest_.mexw32).I classify descriptors obtained from images.
All the code is located on the fileshare
\\ LAB-07 \ untitled \ DISTRIB \ (this is the program code)
\\ LAB-07 \ untitled \ + cv (mexopencv)
When I run the program with matlabpool close everything works well.
Then I make matlabpool open (2 computers on 2 cores each. ultimately 4 worker, but now I use for testing only 2 workers on the computer and run the program which)
PathDependencises from fileshare -> \LAB-07\untitled\DISTRIB\ , \LAB-07\untitled+cv
Before parfor loop I train classifier on the local machine
classifiers = cv.KNearest
classifiers.train(Descriptors',Labels','MaxK',1)
Then run parfor
descr=vlsift(img);
PredictClasses = classifiers.predict(descr');
Error
Error in ==> KNearest>KNearest.find_nearest at 173
Invalid MEX-file '\\LAB-07\untitled\+cv\private\KNearest_.mexw32':
The specified module could not be found.
That is KNearest.m finds, but no KNearest_.mexw32. Because KNearest_.mexw32 located in private folder, I changed the code KNearest.m (everywhere where it appeal KNearest_ () changed to cv.KNearest_ (). Example: this.id = сv.KNearest_ ()) and placed in a folder with KNearest_.mexw32 KNearest.m. As a result, get the same error
Immediately after matlabpool open file search on workers
pctRunOnAll which ('KNearest.m')
'KNearest.m' not found.
'KNearest.m' not found.
'KNearest.m' not found.
pctRunOnAll which ('KNearest_.mexw32')
'KNearest_.mexw32' not found.
'KNearest_.mexw32' not found.
'KNearest_.mexw32' not found.
after cd \LAB-07\untitled+cv
pctRunOnAll which ('KNearest.m')
\\LAB-07\untitled\+cv\KNearest.m
\\LAB-07\untitled\+cv\KNearest.m % cv.KNearest constructor
\\LAB-07\untitled\+cv\KNearest.m
>> pctRunOnAll which ('KNearest_.mexw32')
\\LAB-07\untitled\+cv\KNearest_.mexw32
\\LAB-07\untitled\+cv\KNearest_.mexw32
\\LAB-07\untitled\+cv\KNearest_.mexw32
I ran and FileDependecies, but the same result.
I do not know this is related or not, I display during the execution of the program classifiers
after training and before parfor
classifiers =
cv.KNearest handle
Package: cv
Properties:
id: 5
MaxK: 1
VarCount: 128
SampleCount: 9162
IsRegression: 0
Methods, Events, Superclasses
Within parfor before classifiers.predict
classifiers =
cv.KNearest handle
Package: cv
Properties:
id: 5
I tested the file cvtColor.mexw32. I left in a folder only 2 files cvtColor.mexw32 and vl_sift
parfor i=1:2
im1=imread('Copy_of_start40.png');
im_vl = im2single(rgb2gray(im1));
desc=vl_sift(im_vl);
im1 = cvtColor(im1,'RGB2GRAY');
end
The same error, and vl_sift work, cvtColor no...