Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Couple of typos #333

Merged
merged 1 commit into from
Nov 13, 2024
Merged

Couple of typos #333

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion episodes/02-image-basics.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -447,7 +447,7 @@ ax.imshow(three_colours, cmap="gray")

![](fig/grayscale.png){alt='Image in greyscale'}

Above we have exactly the same underying data matrix, but in greyscale.
Above we have exactly the same underlying data matrix, but in greyscale.
Zero maps to black, 255 maps to white, and 128 maps to medium grey.
Here we only have a single channel in the data and utilize a grayscale color map
to represent the luminance, or intensity of the data and correspondingly
Expand Down
2 changes: 1 addition & 1 deletion episodes/08-connected-components.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -610,7 +610,7 @@ The labels of the objects are also returned by `ski.measure.regionprops`.
We have already seen that we can create boolean arrays using comparison operators.
Here we can use `object_areas > min_area`
to produce an array that has the same dimension as `object_labels`.
It can then used to select the labels of objects whose area is
It can then be used to select the labels of objects whose area is
greater than `min_area` by indexing:

```python
Expand Down
Loading