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author | Vasil Zlatanov <vasko@e4-pattern-vm.europe-west4-a.c.electric-orbit-223819.internal> | 2018-12-05 18:27:09 +0000 |
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committer | Vasil Zlatanov <vasko@e4-pattern-vm.europe-west4-a.c.electric-orbit-223819.internal> | 2018-12-05 18:27:09 +0000 |
commit | 0066c5e6d027713e94dff750828eba9d72f0ea47 (patch) | |
tree | c090efcf058942b58ed77223931e2a2fa900c3a6 | |
parent | 925176b50390c5eba974d3609abc203527ae8ba6 (diff) | |
download | vz215_np1915-0066c5e6d027713e94dff750828eba9d72f0ea47.tar.gz vz215_np1915-0066c5e6d027713e94dff750828eba9d72f0ea47.tar.bz2 vz215_np1915-0066c5e6d027713e94dff750828eba9d72f0ea47.zip |
Remove debug prints
-rw-r--r-- | lib/kmean.py | 4 |
1 files changed, 0 insertions, 4 deletions
diff --git a/lib/kmean.py b/lib/kmean.py index 2e34702..58309bc 100644 --- a/lib/kmean.py +++ b/lib/kmean.py @@ -34,15 +34,11 @@ def create_kmean_clusters(feature_vectors, labels, gallery_idx, camId): clustercam = [] for i in range(2): clustercam.append(np.add(np.ones(len(km_labels[i])), i)) - print(len(km_labels[i])) for j in range(len(km_labels[i])): cl.append(km_train_data[i].cluster_centers_[j]) cllab.append(km_labels[i][j]) train_data = np.array(cl) - print(train_data.shape) train_label = np.array(cllab) - print(train_label.shape) train_cam = np.array([clustercam[i] for i in range(2)]).reshape(train_label.shape[0]) - print(train_cam.shape) return train_data, train_label, train_cam |