Commit 840bca878eeb294463b0ba1c0646ea3148b6cf01
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find . -name '*.py' -o -name *.sh | xargs wc -l \n 11305 total.
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mdata/ILSVRC.py
| ... | ... | @@ -458,7 +458,8 @@ class DataILSVRC(DataDumperBase): |
| 458 | 458 | |
| 459 | 459 | for tag, feat in dict_dataset.values(): |
| 460 | 460 | feat.ravel()[[i*304+j for i in range(0,304,8) for j in range(0,304,8)]] = 0 |
| 461 | - X.append(feat.ravel()) | |
| 461 | + feat = np.bitwise_and(feat,1) | |
| 462 | + X.append(feat.ravel()) | |
| 462 | 463 | Y.append(int(tag)) |
| 463 | 464 | |
| 464 | 465 | else: | ... | ... |
test/test_model.py
| ... | ... | @@ -158,6 +158,7 @@ def test_THEANO_crop(): |
| 158 | 158 | timer.mark() |
| 159 | 159 | dilc = ILSVRC.DataILSVRC(base_dir='/data/hadoop/ImageNet/ILSVRC/ILSVRC2013_DET_val', category='Test_crop_pil') |
| 160 | 160 | X, Y = dilc.load_data(mode='local', feattype='coef') |
| 161 | + print X[0],Y | |
| 161 | 162 | timer.report() |
| 162 | 163 | |
| 163 | 164 | # X_train, X_test, Y_train, Y_test = cross_validation.train_test_split(X, Y, test_size=0.2, random_state=0) | ... | ... |