while disp.isNotDone():
ax = fig.gca(projection='3d')
ax.set_xlabel('BLUE', color=(0,0,1) )
ax.set_ylabel('GREEN',color=(0,1,0))
ax.set_zlabel('RED',color=(1,0,0))
# Get the color histogram
img = cam.getImage().scale(0.3)
rgb = img.getNumpyCv2()
hist = cv2.calcHist([rgb],[0,1,2],None,[bins,bins,bins],[0,256,0,256,0,256])
hist = hist/np.max(hist)
# render everything
[ ax.plot([x],[y],[z],'.',markersize=max(hist[x,y,z]*100,6),color=color) for x,y,z,color in idxs if(hist[x][y][z]>0) ]
#[ ax.plot([x],[y],[z],'.',color=color) for x,y,z,color in idxs if(hist[x][y][z]>0) ]
ax.set_xlim3d(0, bins-1)
ax.set_ylim3d(0, bins-1)
ax.set_zlim3d(0, bins-1)
azim = (azim+0.5)%360
ax.view_init(elev=35, azim=azim)
########### convert matplotlib to SimpleCV image
canvas.draw()
renderer = canvas.get_renderer()
raw_data = renderer.tostring_rgb()
size = canvas.get_width_height()
surf = pg.image.fromstring(raw_data, size, "RGB")
figure = Image(surf)
############ All done
figure = figure.floodFill((0,0), tolerance=5,color=Color.WHITE)
result = figure.blit(img, pos=(20,20))
result.save(disp)
fig.clf()
img = cam.getImage().scale(0.3)
rgb = img.getNumpyCv2()
hist = cv2.calcHist([rgb], [0, 1, 2], None, [bins, bins, bins],
[0, 256, 0, 256, 0, 256])
hist = hist / np.max(hist)
# render everything
[
ax.plot([x], [y], [z],
'.',
markersize=max(hist[x, y, z] * 100, 6),
color=color) for x, y, z, color in idxs if (hist[x][y][z] > 0)
]
#[ ax.plot([x],[y],[z],'.',color=color) for x,y,z,color in idxs if(hist[x][y][z]>0) ]
ax.set_xlim3d(0, bins - 1)
ax.set_ylim3d(0, bins - 1)
ax.set_zlim3d(0, bins - 1)
azim = (azim + 0.5) % 360
ax.view_init(elev=35, azim=azim)
########### convert matplotlib to SimpleCV image
canvas.draw()
renderer = canvas.get_renderer()
raw_data = renderer.tostring_rgb()
size = canvas.get_width_height()
surf = pg.image.fromstring(raw_data, size, "RGB")
figure = Image(surf)
############ All done
figure = figure.floodFill((0, 0), tolerance=5, color=Color.WHITE)
result = figure.blit(img, pos=(20, 20))
result.save(disp)
fig.clf()
