Hi,
I would like to find the fastest way to convert img data array to required
input for ScatterPlotItem.setData.
at the moment i have something like that:
self.data = scipy.misc.imresize(self.data, (200, 300))
for x in range(self.data.shape[0]):
for y in range(self.data.shape[1]):
self.new.append((x, y, self.data[x][y]))
self.new = array(self.new)
self.scatter.setData(pos=self.new, color=(1, 1, 1, .3), size=0, pxMode=True)
As is written in Scatter Plot Item documentation:
> **Arguments:**
> pos (N,3) array of floats specifying point
> locations.
>
When i grab img from camera using cv2 i have [MxN] array.
So, this two "for" loops taking a lot of time and also convert later self.new
= array(self.new) takes also a lot of time. If i convert my real img to
size 200x300 then is ok, i can see real time cloud points plottng, but if i
would try to calculate Full HD or just HD img, it takes a lot of time, and
i can't see real time plotting. I would like also add that this calculating
i use in another thread. Is there any fastest way to convert this data to
get real time 3D cloud plotting in HD or Full HD image? Greetings.
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