opencv_files | Build OpenCV - OpenCV Windows binaries for opencvsharp | Computer Vision library
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OpenCV Windows binaries for opencvsharp.
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Trending Discussions on opencv_files
QUESTION
I am new to image processing and python coding. I have detected a number of features in an image and have their respective pixel locations placed in a list format.
...ANSWER
Answered 2017-Nov-30 at 06:32Your data is a list
of tuple
. There is nothing in this structure that prevents you from doing crazy things with that, such as having different lengths in there. Plus, this is a very slow and memory inefficient way of keeping the data because everything is boxed as a Python object.
Just call data = numpy.array(data)
to convert your data into an efficient multidimensional numeric array. This array will then have a shape
.
QUESTION
This is the video link:I am trying to track the moving ants in the provided video link. Unfortunately, i am not able to do so. suggestions?
https://www.youtube.com/watch?v=bc_OdLgGrPQ&feature=youtu.be%22
...ANSWER
Answered 2017-Apr-30 at 13:30looks like static background so I would:
on Each frame
A
blur
A
a bit to remove noisesubstract/threshold last frame
A0
fromA
so
dA=A-A0
and create ROI by|dA|>threshold
. This mask will contain areas where ants where and are now.set last frame
so
A0=A
To recognize which part of ROI is the old and actual ant position just check correspondent pixel in A
for black ...
I do not use Python nor OpenCV so I am not confident to provide any code ...
Instead of A0
you can also use the background image (without ants) or integrated/averaged image over time...
QUESTION
I am using the below mentioned code to track brown coloured magnetic beads. The line cv2.circle(frame, center, 5 ,(0,0,255),-1)
is giving a Type error. Can anyone provide insight on this?
ANSWER
Answered 2017-Apr-26 at 03:47Type error
occurs when the expected type of data is not fed. Any other type other than the expected type leads to this error.
You have to modify your line from:
center = (int(M["m10"]/M["m00"]),(M["m01"]/M["m00"]))
to:
center = (int(M["m10"]/M["m00"]), int(M["m01"]/M["m00"]))
You did not include type int
to the second coordinate of the center, hence you have been receiving this error all the while.
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