From f57399666d48c5c191ab84d709f00d15d101a5e0 Mon Sep 17 00:00:00 2001 From: Gasper Spagnolo Date: Thu, 17 Nov 2022 08:15:57 +0100 Subject: [PATCH] Barve --- assignment3/solution.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/assignment3/solution.py b/assignment3/solution.py index 8c3487f..3eb9d05 100644 --- a/assignment3/solution.py +++ b/assignment3/solution.py @@ -224,7 +224,7 @@ def ex2_optimized(directory: str, n_bins: int): all_dists = [[] for _ in range(len(methods))] selected_distances = [[] for _ in range(len(methods))] - compare_image = uz_image.imread_gray('../assignment2/data/dataset/object_05_4.png', uz_image.ImageType.float64) + compare_image = uz_image.imread('../assignment2/data/dataset/object_05_4.png', uz_image.ImageType.float64) h_compare_image = uz_image.get_image_bins_gradient_magnitude_and_angles(compare_image) imgs = [] @@ -232,7 +232,7 @@ def ex2_optimized(directory: str, n_bins: int): for i in range(len(img_names)): # Firstly read all images - current_image = uz_image.imread_gray(f'{directory}/{img_names[i]}', uz_image.ImageType.float64) + current_image = uz_image.imread(f'{directory}/{img_names[i]}', uz_image.ImageType.float64) imgs.append(current_image) current_image_histogram = uz_image.get_image_bins_gradient_magnitude_and_angles(current_image) hists.append(current_image_histogram)