From d5099db362e7219b98005186c9e1a581c6ca9eba Mon Sep 17 00:00:00 2001 From: Daniel Wennberg Date: Sun, 3 May 2015 01:32:56 +0200 Subject: [PATCH] Fix PEP8 --- skimage/feature/blob.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/skimage/feature/blob.py b/skimage/feature/blob.py index b84f3a9e..1d4e8339 100644 --- a/skimage/feature/blob.py +++ b/skimage/feature/blob.py @@ -203,7 +203,7 @@ def blob_dog(image, min_sigma=1, max_sigma=50, sigma_ratio=1.6, threshold=2.0, # Convert local_maxima to float64 lm = local_maxima.astype(np.float64) # Convert the last index to its corresponding scale value - lm[:,2] = sigma_list[local_maxima[:,2]] + lm[:, 2] = sigma_list[local_maxima[:, 2]] local_maxima = lm return _prune_blobs(local_maxima, overlap) @@ -305,7 +305,7 @@ def blob_log(image, min_sigma=1, max_sigma=50, num_sigma=10, threshold=.2, # Convert local_maxima to float64 lm = local_maxima.astype(np.float64) # Convert the last index to its corresponding scale value - lm[:,2] = sigma_list[local_maxima[:,2]] + lm[:, 2] = sigma_list[local_maxima[:, 2]] local_maxima = lm return _prune_blobs(local_maxima, overlap) @@ -415,6 +415,6 @@ def blob_doh(image, min_sigma=1, max_sigma=30, num_sigma=10, threshold=0.01, # Convert local_maxima to float64 lm = local_maxima.astype(np.float64) # Convert the last index to its corresponding scale value - lm[:,2] = sigma_list[local_maxima[:,2]] + lm[:, 2] = sigma_list[local_maxima[:, 2]] local_maxima = lm return _prune_blobs(local_maxima, overlap)