mirror/opencv
1
0
Fork 0
mirror of https://github.com/opencv/opencv.git synced 2024-11-27 20:50:25 +08:00
Code Issues Actions Packages Projects Releases Wiki Activity

Merge pull request #26041 from knmcguire:patch-1

Browse Source 
Docfix - Remove notice on using deprecated itemset
This commit is contained in:
Alexander Smorkalov 2024-08-19 17:44:07 +03:00 committed by GitHub
commit ebe04a5723
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 0 additions and 17 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

17
doc/py_tutorials/py_core/py_basic_ops/py_basic_ops.markdown
View File

@ -51,23 +51,6 @@ You can modify the pixel values the same way.
Numpy is an optimized library for fast array calculations. So simply accessing each and every pixel
value and modifying it will be very slow and it is discouraged.
@note The above method is normally used for selecting a region of an array, say the first 5 rows
and last 3 columns. For individual pixel access, the Numpy array methods, array.item() and
array.itemset() are considered better. They always return a scalar, however, so if you want to access
all the B,G,R values, you will need to call array.item() separately for each value.
Better pixel accessing and editing method :
@code{.py}
# accessing RED value
>>> img.item(10,10,2)
59
# modifying RED value
>>> img.itemset((10,10,2),100)
>>> img.item(10,10,2)
100
@endcode
Accessing Image Properties
--------------------------