From b7735644464e48aae3f5a6b41f9acd7a99ed20af Mon Sep 17 00:00:00 2001
From: igraf <igraf@cl.uni-heidelberg.de>
Date: Fri, 23 Feb 2024 18:05:54 +0100
Subject: [PATCH] Add alternative way to read image
---
project/minimal_examples/apply_filters.py | 7 ++++---
project/minimal_examples/extract_features.py | 1 +
2 files changed, 5 insertions(+), 3 deletions(-)
diff --git a/project/minimal_examples/apply_filters.py b/project/minimal_examples/apply_filters.py
index 859f9c8..383358b 100644
--- a/project/minimal_examples/apply_filters.py
+++ b/project/minimal_examples/apply_filters.py
@@ -8,18 +8,19 @@ from skimage.io import imread
from skimage.filters import sobel
# Read image from file
-image = imread("../figures/examples_from_dataset/banana.jpg", as_gray=False)
+image = cv2.imread("../figures/examples_from_dataset/banana.jpg")
+#image = imread("../figures/examples_from_dataset/banana.jpg", as_gray=False) # Alternative way to read image
# Resizing image to 50x50
image_resized = cv2.resize(image, (50, 50))
cv2.imwrite('../figures/examples_from_dataset/banana-resized.jpg', image_resized)
# Use Canny edge detection filter and save to file
-edge_img = cv2.Canny(image, threshold1=50, threshold2=80)
+edge_img = cv2.Canny(image, threshold1=150, threshold2=300)
cv2.imwrite('../figures/examples_from_dataset/banana-edges.jpg', edge_img)
# Use Canny edge detection filter for resized image and save to file
-edge_img_resized = cv2.Canny(image_resized, threshold1=50, threshold2=80)
+edge_img_resized = cv2.Canny(image_resized, threshold1=150, threshold2=300)
cv2.imwrite('../figures/examples_from_dataset/banana-edges-resized.jpg', edge_img_resized)
# Use sobel filter and save to file
diff --git a/project/minimal_examples/extract_features.py b/project/minimal_examples/extract_features.py
index 4ae5547..a08a7f0 100644
--- a/project/minimal_examples/extract_features.py
+++ b/project/minimal_examples/extract_features.py
@@ -12,6 +12,7 @@ from skimage.io import imread
# Read image from file
image = imread("../figures/examples_from_dataset/banana.jpg", as_gray=False)
+# image = cv2.imread("../figures/examples_from_dataset/banana.jpg") # Alternative way to read image
print("Shape of original image: ", image.shape)
# Save features in file
--
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