josch/mapbender
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add map.png

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josch 2014-04-03 10:28:57 +02:00
parent 437de19643
commit e9e0cd7546
2 changed files with 19 additions and 18 deletions
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37
fitbspline.py
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@ -266,25 +266,12 @@ def main(x,y,width,smoothing,subdiv):
# v = off+t[0]*h # v = off+t[0]*h
# sx.append(u) # sx.append(u)
# sy.append(v) # sy.append(v)
im1 = Image.open("out.png") im = Image.open("map.png")
im2 = Image.open("map.png") bbox = [8.0419921875,51.25160146817652,10.074462890625,54.03681240523652]
bbox = [8.4320068359375,51.34090729023285,9.7119140625,53.556626004824615] # apply mercator projection
bbox[1] = lat2y(bbox[1]) bbox[1] = lat2y(bbox[1])
bbox[3] = lat2y(bbox[3]) bbox[3] = lat2y(bbox[3])
colors = 100*np.random.rand(len(patches)/2)+100*np.random.rand(len(patches)/2) iw,ih = im.size
p = PatchCollection(patches, cmap=matplotlib.cm.jet, alpha=0.4)
p.set_array(np.array(colors))
plt.figure()
plt.axes().set_aspect('equal')
#plt.axhspan(0, height, xmin=0, xmax=width)
fig, ax = plt.subplots()
ax.add_collection(p)
ax.set_aspect('equal')
plt.imshow(np.asarray(im1),extent=[0,width,0,height])
plt.imshow(np.asarray(im2),extent=[bbox[0],bbox[2],bbox[1],bbox[3]])
plt.plot(x,y,out[0],out[1],px,py,qx,qy,tx,ty)
plt.show()
iw,ih = im2.size
data = [] data = []
for i,(off,h,(p0,p1,p2,p3)) in enumerate(zip(offs,heights,quads)): for i,(off,h,(p0,p1,p2,p3)) in enumerate(zip(offs,heights,quads)):
# first, account for the offset of the input image # first, account for the offset of the input image
@ -311,8 +298,22 @@ def main(x,y,width,smoothing,subdiv):
int(iw*width/(bbox[2]-bbox[0])),int(ih*(height-off)/(bbox[3]-bbox[1]))) int(iw*width/(bbox[2]-bbox[0])),int(ih*(height-off)/(bbox[3]-bbox[1])))
quad=(p0[0],p0[1],p1[0],p1[1],p2[0],p2[1],p3[0],p3[1]) quad=(p0[0],p0[1],p1[0],p1[1],p2[0],p2[1],p3[0],p3[1])
data.append((box,quad)) data.append((box,quad))
im_out = im2.transform((int(iw*width/(bbox[2]-bbox[0])),int(ih*height/(bbox[3]-bbox[1]))),Image.MESH,data,Image.BICUBIC) im_out = im.transform((int(iw*width/(bbox[2]-bbox[0])),int(ih*height/(bbox[3]-bbox[1]))),Image.MESH,data,Image.BICUBIC)
im_out.save("out.png") im_out.save("out.png")
np.random.seed(seed=0)
colors = 100*np.random.rand(len(patches)/2)+100*np.random.rand(len(patches)/2)
p = PatchCollection(patches, cmap=matplotlib.cm.jet, alpha=0.4)
p.set_array(np.array(colors))
plt.figure()
plt.axes().set_aspect('equal')
#plt.axhspan(0, height, xmin=0, xmax=width)
fig, ax = plt.subplots()
ax.add_collection(p)
ax.set_aspect('equal')
plt.imshow(np.asarray(im_out),extent=[0,width,0,height])
plt.imshow(np.asarray(im),extent=[bbox[0],bbox[2],bbox[1],bbox[3]])
plt.plot(x,y,out[0],out[1],px,py,qx,qy,tx,ty)
plt.show()
return True return True
if __name__ == '__main__': if __name__ == '__main__':

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map.png Normal file
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