Retinal Scan¶
Animation control:
Visualization |
Frame Value |
---|---|
Surface geometry |
constant |
Surface position |
fixed to the coordinate axis |
Surface color |
constant |
Shading and highlighting |
fixed to the coordinate axis |
Axis coordinate |
azim per frame using view_init |
Based on the static plot from the Function and Image Mapping example.
Changing only the axis coordinate results in ‘stationary object’ perception.
import numpy as np
from matplotlib import pyplot as plt
from matplotlib.animation import FuncAnimation
import s3dlib.surface as s3d
import s3dlib.cmap_utilities as cmu
#.. Retinal Scan Animation
# 0. Define animation control parameters ............................
totalTime, f_domain, numFrames = 9, (0.0,1.0), 70 # time in seconds
frames=np.linspace(*f_domain, numFrames, endpoint=False)
interval = int(1000.0*totalTime/numFrames) # milliseconds
# 1. Define functions to examine ....................................
def collapse( rtp) :
r,t,p = rtp
T = np.where(t>np.pi,t,-t)
R = np.where(t>np.pi,r+0.03,r)
return R,T,p
def azim( time ) :
min, max, ofs = 0, 170, 5
middle = (max+min)/2.0 + ofs
hilo = (max-min)/2.0
return middle - hilo*np.cos(time*2*np.pi)
# 2. Setup and map surfaces .........................................
start_azim_time = 0
rez=6
cmap = cmu.binary_cmap(negColor='black' ,posColor=[0.918,0.549,0.377])
imagefilename = 'data/retinal_scan.png'
vp = [ 0.065, 0.131, 0.435, 0.869]
eye = s3d.SphericalSurface(rez,basetype='octa')
eye.map_cmap_from_op( lambda rtp : rtp[1] ,cmap=cmap)
eye.map_color_from_image(imagefilename,viewport=vp)
eye.map_geom_from_op(collapse)
eye.shade(direction=[0,1,1],contrast=0.5)
eye.transform(rotate=s3d.eulerRot(0,30))
# 3. Construct figures, add surfaces, and plot ......................
fig = plt.figure(figsize=plt.figaspect(1) )
ax = plt.axes(projection='3d', aspect='equal')
minmax = (-0.75,0.75)
ax.set(xlim=minmax, ylim=minmax, zlim=minmax)
ax.set_title('Retinal Scan')
ax.set_axis_off()
ax.view_init( elev=30, azim=azim(start_azim_time) )
ax.add_collection3d(eye)
#plt.show()
# 4. Animation ======================================================
def update_fig(frame):
ax.view_init(elev=30, azim=azim(frame) )
return
anim = FuncAnimation(fig, update_fig, frames, interval=interval, repeat=True)
anim.save('retinal_scan.html',writer='html')
msg = "saved {} frames, values: [{:.3f} to {:.3f}] @ {} milliseconds/frane"
print(msg.format(numFrames,np.min(frames),np.max(frames),interval))