split filename and dir using os.path.split

 refer to code

.

import os

path = '/Users/source_code/final_data/test/X51006647933.jpg'

# Split the path into directory name and file name

dirname, filename = os.path.split(path)

# Print the file name

print(filename) # Output: X51006647933.jpg

..

Thank you.

🙇🏻‍♂️

www.marearts.com

calcHist for RGB image, opencv histogram example

A Example source code for rgb histogram, the source code uses calcHist function in opencv.

Important things in the source code are the part of split rgb mat to vector[3] and drawing part.
Read the code carefully, so then you can understand easliy. ^^

input


the result of rgb histogram


<gist code start>

<gist code end>



reference : https://docs.opencv.org/2.4/doc/tutorials/imgproc/histograms/histogram_calculation/histogram_calculation.html

Python: Split string with multiple delimiters [duplicate]

String split using delimiter

let's see how to split string using delimiter

There are 2 issues those are single delimiter and multi delimiters.

import re
#single delimiter
inputStr = 'This\nis\nmy\ndesk.'
split_inpuStr = inputStr.split('\n')
print('single',split_inpuStr)

#double delimiters
inputStr2 = 'This\r\nis\nmy\ndesk.'
split_inpuStr2 = re.split('\r\n|\n', inputStr2)
print('double',split_inpuStr2)

#multi delimiters
a = 'Beautiful,is; better*than\nugly'
b = re.split('; |, |\*|\n',a)
print('multi',b)

reference

https://stackoverflow.com/questions/4998629/python-split-string-with-multiple-delimiters
https://stackoverflow.com/questions/10393157/splitting-a-string-with-multiple-delimiters-in-python

python regular auto generator
http://ss2r.marearts.com

cvCvtPixToPlane, cvCvtPlaneToPix -> split, merge / example code and explanation

In previous version of oepncv which used iplImage, these functions are used -> cvCvtPixToPlane and cvCvtPlaneToPix.

This article introduces how this functions are used and what to use in the current version.


1. cvCvtPixToPlane

It is same with split function in current version.
So channels of the input image are seperately stored.

ex) old version

iplImage img; //BGR 3 colors image
iplImage B,G,R;
cvCvtPixToPlane(img, B, G, R, NULL);

ex) current version

Mat img; //BGR 3 colors image
vector< Mat > BGR(3);
split(img, BGR);
BGR[0]; //B Mat
BGR[1]; //G Mat
BGR[2]; //R Mat

2. cvCvtPlaneToPix
It is same with mere function in current version.
So each mat is merged into one Mat.

ex) old version

iplImage B,G,R;
iplImage BGR;
cvCvtPlaneToPix(B, G, R, NULL, BGR);

ex) current version

vector< Mat > BGR(3);
Mat img;
merge(BGR, img);

Thank you.

refer to gpu version split and merge example :
http://study.marearts.com/2014/11/opencv-gpu-3-channel-blur-example.html

Background Subtraction and Blob labeling and FREAK feature extraction

This code is the source of this video.
https://www.youtube.com/watch?v=txOaulCPzSM

The source code included 2 separable routine.
One is blob labeling.
Another is FREAK feature extraction and draw.

Blob labeling is using MOG2 algorithm.
MOG2 is introduced in past on my blog.
Refer to this page.
http://study.marearts.com/search/label/MOG2
http://study.marearts.com/2014/04/opencv-study-background-subtractor-mog.html
By the way, this code included blur routine.
I thought low frequency image is more useful for background learning.
This rgb blur code on GPU mode is referenced from here.
http://study.marearts.com/2014/11/opencv-gpu-3-channel-blur-example.html

Another routine is FREAK feature extraction.
Firstly, find feature using FAST_GPU, and extract FREAK descriptor.
After extraction, 2 descriptor can compare same image or not.

This code is made for processing time check.
The process is enough to processing in real time, because image is resized and use GPU.

Hope helping to you.
Thank you.




...code start...

...code end...