Creating Animation from multiple Images

tgautam03 · April 4, 2021, 3:03pm

Hi, I’m working on a project where I’ve to work with reflecting rays. I’ve written the code to trace the rays and reflection, but want to visualize the ray paths (just to quickly make sure that everything works well). I am using PyPlot.imshow inside a loop but it’s just showing me the last plot. Is there a way by which I can quickly create an animation and see the rays traveling.

Here’s my code (along with the output) to generate plots inside the loop

for sNum in raysCoords
    for ray in sNum
        Mod = zeros(size(velMod))
        for coord in ray
            Mod[coord[1], coord[2]] = 1
        end
        PyPlot.imshow(Mod)
        PyPlot.show()
    end
end

Raf · April 4, 2021, 3:08pm

https://docs.juliaplots.org/latest/animations/

tgautam03 · April 4, 2021, 3:14pm

I don’t understand how I can modify my code to work like this.

Raf · April 4, 2021, 3:20pm

Yeah the example is overcomplicated imho…

But it should just be this, more or less:

@gif for ray in snum
    mod = zeros(size(velMod))
    for coord in ray
        mod[coord[1], coord[2]] = 1
    end
    plot(mod)
end

You will need to learn Plots.jl a little, and I don’t fully understand your code.

rafael.guerra · April 4, 2021, 3:23pm

Try putting your PyPlot command inside a display() command.

tgautam03 · April 4, 2021, 3:24pm

Now I’m getting this output

PyObject <matplotlib.image.AxesImage object at 0x7fed3ac04a00>

PyObject <matplotlib.image.AxesImage object at 0x7fed3ac0ffd0>
PyObject <matplotlib.image.AxesImage object at 0x7fed3aae35b0>
PyObject <matplotlib.image.AxesImage object at 0x7fed3ac29400>
PyObject <matplotlib.image.AxesImage object at 0x7fed3ac04f40>
PyObject <matplotlib.image.AxesImage object at 0x7fed3ac7b280>
PyObject <matplotlib.image.AxesImage object at 0x7fed3ac7b070>
PyObject <matplotlib.image.AxesImage object at 0x7fed3ac049d0>
PyObject <matplotlib.image.AxesImage object at 0x7fed3ac39550>
PyObject <matplotlib.image.AxesImage object at 0x7fed3ac04c70>
PyObject <matplotlib.image.AxesImage object at 0x7fed3ac29280>
PyObject <matplotlib.image.AxesImage object at 0x7fed3a83d250>
PyObject <matplotlib.image.AxesImage object at 0x7fed3a83d520>
PyObject <matplotlib.image.AxesImage object at 0x7fed3a83d7f0>
PyObject <matplotlib.image.AxesImage object at 0x7fed3a83dac0>
PyObject <matplotlib.image.AxesImage object at 0x7fed3a86beb0>
PyObject <matplotlib.image.AxesImage object at 0x7fed3a86b0a0>
PyObject <matplotlib.image.AxesImage object at 0x7fed3a86b370>
PyObject <matplotlib.image.AxesImage object at 0x7fed3a86b640>
PyObject <matplotlib.image.AxesImage object at 0x7fed3a86b910>
PyObject <matplotlib.image.AxesImage object at 0x7fed3a862d00>
PyObject <matplotlib.image.AxesImage object at 0x7fed3a83dd90>
PyObject <matplotlib.image.AxesImage object at 0x7fed3a8621c0>
PyObject <matplotlib.image.AxesImage object at 0x7fed3a862490>
PyObject <matplotlib.image.AxesImage object at 0x7fed3a862760>
PyObject <matplotlib.image.AxesImage object at 0x7fed3a862a30>
PyObject <matplotlib.image.AxesImage object at 0x7fed3a86bbe0>
PyObject <matplotlib.image.AxesImage object at 0x7fed3a862fd0>
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rafael.guerra · April 4, 2021, 3:28pm

Please consider the environment before printing

rafael.guerra · April 4, 2021, 3:49pm

This works in Julia 1.6.0 Win10:

using PyPlot

for i=1:30
    X = rand(20,20)
    sleep(0.1)
    display(PyPlot.imshow(X))
end

It might be better to have a separate loop to see the rays being updated in a plot window. And to have a dedicated loop to write an animated gif to disk, as gif generation might be too slow.

Plots.jl seems to be faster displaying the updates:

using Images, Plots; gr()

for i=1:30
    sleep(0.1)
    X = Gray.(rand(300,300))
    display(Plots.plot(X))
end

tgautam03 · April 5, 2021, 9:27am

I’m facing the same problem when I’m using imshow.

I also tried using heatmap and that works fine except the y axis is inverted. I can’t find a way to invert the y axis such that [0,0] of the matrix is top left instead of bottom left.

using Plots
for rec in shotCoords[1]
    Mod = zeros(Int, size(velMod))
    for coord in rec
        Mod[coord[1], coord[2]] = 1
    end
    sleep(0.1)
    display(heatmap(Mod))
end

rafael.guerra · April 5, 2021, 9:15pm

You can use heatmap’s yflip argument:

using Plots
N = 100
Mod = zeros(N,N)
for i = 1:2N
	i <= N ?  (Mod[i,i÷2+1]=1) : (Mod[2N-i+1,i÷2]=1) 
    display(heatmap(Mod,legend=false, yflip=true))
end

rays_heatmap_yflip