refer to code:
..
a=[{'a':1, 'b':3}, {'a':2, 'b':4}]
b=[{'a':3, 'b':3}, {'a':2, 'b':4}]
a.extend(b)
[dict(t) for t in {tuple(d.items()) for d in a}]
>> [{'a': 1, 'b': 3}, {'a': 2, 'b': 4}, {'a': 3, 'b': 3}]
..
Thank you.
www.marearts.com
Subscribe to:
Post Comments (Atom)
-
Logistic Classifier The logistic classifier is similar to equation of the plane. W is weight vector, X is input vector and y is output... -
As you can see in the following video, I created a class that stitching n cameras in real time. https://www.youtube.com/user/feelmare/sear...
-
Image size of origin is 320*240. Processing time is 30.96 second took. The result of stitching The resul... -
fig 1. Left: set 4 points (Left Top, Right Top, Right Bottom, Left Bottom), right:warped image to (0,0) (300,0), (300,300), (0,300) Fi... -
* Introduction - The solution shows panorama image from multi images. The panorama images is processing by real-time stitching algorithm... -
Created Date : 2011.10 Language : C/C++ Tool : Microsoft Visual C++ 2008 Library & Utilized : OpenCV 2.3 Reference : SIFT referenc... -
OpenCV has AdaBoost algorithm function. And gpu version also is provided. For using detection, we prepare the trained xml file. Although... -
In the YUV color format, Y is bright information, U is blue color area, V is red color area. Show the below picture. The picture is u-v col... -
simply check below code and example result. . def image_grid ( imgs , rows , cols ): assert len ( imgs ) == rows * cols w , h... -
I once wrote the following article. http://study.marearts.com/2014/04/opencv-study-mat-point-access-method.html This article is a sample c...
No comments:
Post a Comment