Mercurial > ift6266
changeset 245:0de14b2034c6
change in testtransformation to test PNIST pipeline
| author | Xavier Glorot <glorotxa@iro.umontreal.ca> |
|---|---|
| date | Tue, 16 Mar 2010 12:13:49 -0400 |
| parents | 39421555993f |
| children | 2024368a8d3d |
| files | data_generation/pipeline/testtransformations.py |
| diffstat | 1 files changed, 14 insertions(+), 14 deletions(-) [+] |
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--- a/data_generation/pipeline/testtransformations.py Tue Mar 16 12:12:20 2010 -0400 +++ b/data_generation/pipeline/testtransformations.py Tue Mar 16 12:13:49 2010 -0400 @@ -28,7 +28,7 @@ from affine_transform import AffineTransformation ###---------------------order of transformation module -MODULE_INSTANCES = [Slant(),Thick(),AffineTransformation(),LocalElasticDistorter(),GIMP1(),Rature(),Occlusion(), PermutPixel(),DistorsionGauss(),AddBackground(), PoivreSel(), BruitGauss(), Contrast()] +MODULE_INSTANCES = [Slant(),Thick(),AffineTransformation(),LocalElasticDistorter(),GIMP1(False)] ###---------------------complexity associated to each of them complexity = 0.7 @@ -111,11 +111,11 @@ d = N.zeros((n,1024)) -datapath = '/data/lisa/data/ocr_breuel/filetensor/unlv-corrected-2010-02-01-shuffled.ft' -f = open(datapath) -d = ft.read(f) -d = d[0:n,:]/255.0 -createimage('/u/glorotxa/transf/OCR',d) +#datapath = '/data/lisa/data/ocr_breuel/filetensor/unlv-corrected-2010-02-01-shuffled.ft' +#f = open(datapath) +#d = ft.read(f) +#d = d[0:n,:]/255.0 +#createimage('/u/glorotxa/transf/OCR',d) @@ -133,18 +133,18 @@ d = d[0:n,:]/255.0 createimage('/u/glorotxa/transf/NIST_upper',d) -from Facade import * +#from Facade import * -for i in range(n): - d[i,:]=N.asarray(N.reshape(generateCaptcha(0.8,0),(1,1024))/255.0,dtype='float32') +#for i in range(n): + #d[i,:]=N.asarray(N.reshape(generateCaptcha(0.8,0),(1,1024))/255.0,dtype='float32') -createimage('/u/glorotxa/transf/capcha',d) +#createimage('/u/glorotxa/transf/capcha',d) -for i in range(n): - myttf2jpg = ttf2jpg() - d[i,:]=N.reshape(myttf2jpg.generate_image()[0],(1,1024)) -createimage('/u/glorotxa/transf/fonts',d) +#for i in range(n): + #myttf2jpg = ttf2jpg() + #d[i,:]=N.reshape(myttf2jpg.generate_image()[0],(1,1024)) +#createimage('/u/glorotxa/transf/fonts',d) datapath = '/data/lisa/data/nist/by_class/' f = open(datapath+'lower/lower_train_data.ft')