Commit 4b50bb51a1b59d67825a63da0c0dab4052b940d3
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test/test_model.py
... | ... | @@ -151,17 +151,17 @@ def test_SVM_ILSVRC_S(): |
151 | 151 | |
152 | 152 | def test_THEANO_crop(): |
153 | 153 | |
154 | - timer.mark() | |
155 | - dilc = ILSVRC.DataILSVRC(base_dir='/data/hadoop/ImageNet/ILSVRC/ILSVRC2013_DET_val', category='Test_crop_pil') | |
156 | - X, Y = dilc.load_data(mode='local', feattype='coef') | |
157 | - timer.report() | |
158 | - X_train, X_test, Y_train, Y_test = cross_validation.train_test_split(X, Y, test_size=0.2, random_state=0) | |
159 | - with open(os.path.join(package_dir,'../res/','ils_crop.pkl'),'wb') as f: | |
160 | - cPickle.dump([(X_train,Y_train),(X_test,Y_test)], f) | |
154 | + # timer.mark() | |
155 | + # dilc = ILSVRC.DataILSVRC(base_dir='/data/hadoop/ImageNet/ILSVRC/ILSVRC2013_DET_val', category='Test_crop_pil') | |
156 | + # X, Y = dilc.load_data(mode='local', feattype='coef') | |
157 | + # timer.report() | |
158 | + # X_train, X_test, Y_train, Y_test = cross_validation.train_test_split(X, Y, test_size=0.2, random_state=0) | |
159 | + # with open(os.path.join(package_dir,'../res/','ils_crop.pkl'),'wb') as f: | |
160 | + # cPickle.dump([(X_train,Y_train),(X_test,Y_test)], f) | |
161 | 161 | |
162 | 162 | timer.mark() |
163 | 163 | mtheano = THEANO.ModelTHEANO(toolset='cnn') |
164 | - mtheano._train_cnn(dataset='../../res/ils_crop.pkl') | |
164 | + mtheano._train_cnn(dataset='../res/ils_crop.pkl') | |
165 | 165 | timer.report() |
166 | 166 | |
167 | 167 | ... | ... |