| Thu, 18 Feb 2010 14:27:49 -0500 |
boulanni |
Added captcha support in pipeline.py
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| Thu, 18 Feb 2010 14:16:54 -0500 |
boulanni |
Added digits and uppercase letters to list of possible characters in captchas
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| Thu, 18 Feb 2010 14:15:47 -0500 |
boulanni |
Fixed bug in pycaptcha/Facade.py
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| Thu, 18 Feb 2010 12:58:34 -0500 |
Xavier Glorot |
little changes in Rature and occlusion to fit with visualisation
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| Thu, 18 Feb 2010 12:33:17 -0500 |
Xavier Glorot |
reduced affine transform coefficient
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| Thu, 18 Feb 2010 11:10:53 -0500 |
SylvainPL |
Maintenant, plus grande probablite d'effectuer une occlusion. Proba= 0.3 maintenant
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| Thu, 18 Feb 2010 10:55:29 -0500 |
SylvainPL |
Correction d'un petit bug (random.randint a des bornes inclusives, ce qui pouvait creer un petit bug)
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| Thu, 18 Feb 2010 10:53:36 -0500 |
SylvainPL |
Maintenant, les ratures sont fabriquees a partir de 1 qui ont ete transformes pas mal. Les ratures peuvent maintenant etre plus d'une. Proba 0.15 d'effectuer une rature
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| Wed, 17 Feb 2010 17:45:48 -0500 |
Xavier Glorot |
changed some transformation paramters to better fit with visualization
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| Wed, 17 Feb 2010 17:06:54 -0500 |
fsavard |
Refait stacked_dae.py en utilisant le dataset complet shared (juste reparti à 0 à partir du code du tutoriel), et préparé pour utiliser NIST (pas testé)
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| Wed, 17 Feb 2010 16:25:44 -0500 |
Xavier Glorot |
small change to testtransformation to match with the pipeline behavior
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| Wed, 17 Feb 2010 16:23:54 -0500 |
Xavier Glorot |
changed again the variance scaling for Distorsion Gauss, come back to the original
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| Wed, 17 Feb 2010 16:22:54 -0500 |
Xavier Glorot |
changes on pipeline mecanism: we now sample a different complexity for each transformations, this because when we use the same sampled complexity for all the modules 1/8 of the time we are close to 0 and we obtain an image very close to the source, we now save a complexity for each module in the parameters array
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| Wed, 17 Feb 2010 16:20:15 -0500 |
Xavier Glorot |
changes on pipeline mecanism: we now sample a different complexity for each transformations, this because when we use the same sampled complexity for all the modules 1/8 of the time we are close to 0 and we obtain an image very close to the source, we now save a complexity for each module in the parameters array
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| Wed, 17 Feb 2010 09:29:19 -0500 |
fsavard |
Added stacked DAE code for my experiments, based on tutorial code. Quite unfinished.
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