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Source  : bfaf89e
Branch  : main
Author  : Kimberly Meechan <24316371+K-Meech@users.noreply.github.com>
Time    : 2025-02-09 16:51:23 +0000
Message : Merge pull request #338 from nanosec/size

Use ndarray.size instead of multiplying

Author: actions-user

07-thresholding.md

@@ -478,9 +478,7 @@ def measure_root_mass(filename, sigma=1.0):
 
     # determine root mass ratio
     root_pixels = np.count_nonzero(binary_mask)
-    w = binary_mask.shape[1]
-    h = binary_mask.shape[0]
-    density = root_pixels / (w * h)
+    density = root_pixels / binary_mask.size
 
     return density
 ```
@@ -499,11 +497,8 @@ Recall that in the `binary_mask`, every pixel has either a value of
 zero (black/background) or one (white/foreground).
 We want to count the number of white pixels,
 which can be accomplished with a call to the NumPy function `np.count_nonzero`.
-Then we determine the width and height of the image by using
-the elements of `binary_mask.shape`
-(that is, the dimensions of the NumPy array that stores the image).
 Finally, the density ratio is calculated by dividing the number of white pixels
-by the total number of pixels `w*h` in the image.
+by the total number of pixels `binary_mask.size` in the image.
 The function returns then root density of the image.
 
 We can call this function with any filename and
@@ -650,9 +645,7 @@ def enhanced_root_mass(filename, sigma):
 
     # determine root mass ratio
     root_pixels = np.count_nonzero(binary_mask)
-    w = binary_mask.shape[1]
-    h = binary_mask.shape[0]
-    density = root_pixels / (w * h)
+    density = root_pixels / binary_mask.size
 
     return density
 

md5sum.txt

@@ -9,7 +9,7 @@
 "episodes/04-drawing.md" "48b42ee384b5b907d9f9b93ad0e98ce8" "site/built/04-drawing.md" "2024-06-07"
 "episodes/05-creating-histograms.md" "4abbd123ba97d63c795398be6f6b7621" "site/built/05-creating-histograms.md" "2024-03-14"
 "episodes/06-blurring.md" "894ff33379584a8ee777f779564d5b01" "site/built/06-blurring.md" "2024-06-18"
-"episodes/07-thresholding.md" "4d34b89c8cd33cb6bb54103f805a39b9" "site/built/07-thresholding.md" "2024-03-12"
+"episodes/07-thresholding.md" "512a1806b8061dded3a68871e7bcdfe9" "site/built/07-thresholding.md" "2025-02-09"
 "episodes/08-connected-components.md" "f599af69b770c7234a4e7d4a06a7f6dd" "site/built/08-connected-components.md" "2024-11-13"
 "episodes/09-challenges.md" "3e95485b1bae2c37538830225ea26598" "site/built/09-challenges.md" "2024-03-12"
 "instructors/instructor-notes.md" "e8e378a5dfaec7b2873d788be85003ce" "site/built/instructor-notes.md" "2024-06-18"