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pack_tile.py
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pack_tile.py
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#!/usr/bin/env python3
__copyright__ = "Copyright 2018, Elphel, Inc."
__license__ = "GPL-3.0+"
__email__ = "[email protected]"
import numpy as np
# pack from 9x9x4 to 100x1
# type 1, all the same
def pack_tile_type1(tile):
out = np.empty(100)
# pack diagm-pair
l = np.ravel(tile[:,:,0])
out[ 0] = 1.0*l[ 2]+1.0*l[ 3]+1.0*l[ 4]+1.0*l[ 5]+1.0*l[6]
out[ 1] = 1.0*l[10]+1.0*l[11]+1.0*l[19]+1.0*l[20]
out[ 2] = 1.0*l[12]+1.0*l[13]+1.0*l[14]
out[ 3] = 1.0*l[15]+1.0*l[16]+1.0*l[24]+1.0*l[25]
out[ 4] = 1.0*l[18]+1.0*l[27]+1.0*l[36]+1.0*l[45]+1.0*l[54]
out[ 5] = 1.0*l[21]+1.0*l[22]+1.0*l[23]
out[ 6] = 1.0*l[26]+1.0*l[35]+1.0*l[44]+1.0*l[53]+1.0*l[62]
out[ 7] = 1.0*l[28]+1.0*l[37]+1.0*l[46]
out[ 8] = 1.0*l[29]+1.0*l[38]+1.0*l[47]
out[ 9] = 1.0*l[30]
out[10] = 1.0*l[31]
out[11] = 1.0*l[32]
out[12] = 1.0*l[33]+1.0*l[42]+1.0*l[51]
out[13] = 1.0*l[34]+1.0*l[43]+1.0*l[52]
out[14] = 1.0*l[39]
out[15] = 1.0*l[40]
out[16] = 1.0*l[41]
out[17] = 1.0*l[48]
out[18] = 1.0*l[49]
out[19] = 1.0*l[50]
out[20] = 1.0*l[55]+1.0*l[56]+1.0*l[64]+1.0*l[65]
out[21] = 1.0*l[57]+1.0*l[58]+1.0*l[59]
out[22] = 1.0*l[60]+1.0*l[61]+1.0*l[69]+1.0*l[70]
out[23] = 1.0*l[66]+1.0*l[67]+1.0*l[68]
out[24] = 1.0*l[74]+1.0*l[75]+1.0*l[76]+1.0*l[77]+1.0*l[78]
# pack diago-pair
l = np.ravel(tile[:,:,1])
out[25] = 1.0*l[ 2]+1.0*l[ 3]+1.0*l[ 4]+1.0*l[ 5]+1.0*l[6]
out[26] = 1.0*l[10]+1.0*l[11]+1.0*l[19]+1.0*l[20]
out[27] = 1.0*l[12]+1.0*l[13]+1.0*l[14]
out[28] = 1.0*l[15]+1.0*l[16]+1.0*l[24]+1.0*l[25]
out[29] = 1.0*l[18]+1.0*l[27]+1.0*l[36]+1.0*l[45]+1.0*l[54]
out[30] = 1.0*l[21]+1.0*l[22]+1.0*l[23]
out[31] = 1.0*l[26]+1.0*l[35]+1.0*l[44]+1.0*l[53]+1.0*l[62]
out[32] = 1.0*l[28]+1.0*l[37]+1.0*l[46]
out[33] = 1.0*l[29]+1.0*l[38]+1.0*l[47]
out[34] = 1.0*l[30]
out[35] = 1.0*l[31]
out[36] = 1.0*l[32]
out[37] = 1.0*l[33]+1.0*l[42]+1.0*l[51]
out[38] = 1.0*l[34]+1.0*l[43]+1.0*l[52]
out[39] = 1.0*l[39]
out[40] = 1.0*l[40]
out[41] = 1.0*l[41]
out[42] = 1.0*l[48]
out[43] = 1.0*l[49]
out[44] = 1.0*l[50]
out[45] = 1.0*l[55]+1.0*l[56]+1.0*l[64]+1.0*l[65]
out[46] = 1.0*l[57]+1.0*l[58]+1.0*l[59]
out[47] = 1.0*l[60]+1.0*l[61]+1.0*l[69]+1.0*l[70]
out[48] = 1.0*l[66]+1.0*l[67]+1.0*l[68]
out[49] = 1.0*l[74]+1.0*l[75]+1.0*l[76]+1.0*l[77]+1.0*l[78]
# pack hor-pairs
l = np.ravel(tile[:,:,2])
out[50] = 1.0*l[ 2]+1.0*l[ 3]+1.0*l[ 4]+1.0*l[ 5]+1.0*l[6]
out[51] = 1.0*l[10]+1.0*l[11]+1.0*l[19]+1.0*l[20]
out[52] = 1.0*l[12]+1.0*l[13]+1.0*l[14]
out[53] = 1.0*l[15]+1.0*l[16]+1.0*l[24]+1.0*l[25]
out[54] = 1.0*l[18]+1.0*l[27]+1.0*l[36]+1.0*l[45]+1.0*l[54]
out[55] = 1.0*l[21]+1.0*l[22]+1.0*l[23]
out[56] = 1.0*l[26]+1.0*l[35]+1.0*l[44]+1.0*l[53]+1.0*l[62]
out[57] = 1.0*l[28]+1.0*l[37]+1.0*l[46]
out[58] = 1.0*l[29]+1.0*l[38]+1.0*l[47]
out[59] = 1.0*l[30]
out[60] = 1.0*l[31]
out[61] = 1.0*l[32]
out[62] = 1.0*l[33]+1.0*l[42]+1.0*l[51]
out[63] = 1.0*l[34]+1.0*l[43]+1.0*l[52]
out[64] = 1.0*l[39]
out[65] = 1.0*l[40]
out[66] = 1.0*l[41]
out[67] = 1.0*l[48]
out[68] = 1.0*l[49]
out[69] = 1.0*l[50]
out[70] = 1.0*l[55]+1.0*l[56]+1.0*l[64]+1.0*l[65]
out[71] = 1.0*l[57]+1.0*l[58]+1.0*l[59]
out[72] = 1.0*l[60]+1.0*l[61]+1.0*l[69]+1.0*l[70]
out[73] = 1.0*l[66]+1.0*l[67]+1.0*l[68]
out[74] = 1.0*l[74]+1.0*l[75]+1.0*l[76]+1.0*l[77]+1.0*l[78]
# pack vert-pairs
l = np.ravel(tile[:,:,3])
out[75] = 1.0*l[ 2]+1.0*l[ 3]+1.0*l[ 4]+1.0*l[ 5]+1.0*l[6]
out[76] = 1.0*l[10]+1.0*l[11]+1.0*l[19]+1.0*l[20]
out[77] = 1.0*l[12]+1.0*l[13]+1.0*l[14]
out[78] = 1.0*l[15]+1.0*l[16]+1.0*l[24]+1.0*l[25]
out[79] = 1.0*l[18]+1.0*l[27]+1.0*l[36]+1.0*l[45]+1.0*l[54]
out[80] = 1.0*l[21]+1.0*l[22]+1.0*l[23]
out[81] = 1.0*l[26]+1.0*l[35]+1.0*l[44]+1.0*l[53]+1.0*l[62]
out[82] = 1.0*l[28]+1.0*l[37]+1.0*l[46]
out[83] = 1.0*l[29]+1.0*l[38]+1.0*l[47]
out[84] = 1.0*l[30]
out[85] = 1.0*l[31]
out[86] = 1.0*l[32]
out[87] = 1.0*l[33]+1.0*l[42]+1.0*l[51]
out[88] = 1.0*l[34]+1.0*l[43]+1.0*l[52]
out[89] = 1.0*l[39]
out[90] = 1.0*l[40]
out[91] = 1.0*l[41]
out[92] = 1.0*l[48]
out[93] = 1.0*l[49]
out[94] = 1.0*l[50]
out[95] = 1.0*l[55]+1.0*l[56]+1.0*l[64]+1.0*l[65]
out[96] = 1.0*l[57]+1.0*l[58]+1.0*l[59]
out[97] = 1.0*l[60]+1.0*l[61]+1.0*l[69]+1.0*l[70]
out[98] = 1.0*l[66]+1.0*l[67]+1.0*l[68]
out[99] = 1.0*l[74]+1.0*l[75]+1.0*l[76]+1.0*l[77]+1.0*l[78]
return out
# pack from 9x9x4 to 104x1
# type 1, all the same
def pack_tile_type2(tile):
out = np.empty(104)
# pack diagm-pair (not tested)
l = np.ravel(tile[:,:,0])
out[ 0] = 1.0*l[ 0]+1.0*l[ 1]+1.0*l[ 2]+1.0*l[ 9]+1.0*l[10]+1.0*l[18]
out[ 1] = 1.0*l[ 3]+1.0*l[11]+1.0*l[19]+1.0*l[27]
out[ 2] = 1.0*l[ 4]+1.0*l[12]+1.0*l[20]+1.0*l[28]+1.0*l[36]
out[ 3] = 1.0*l[ 5]+1.0*l[ 6]+1.0*l[14]
out[ 4] = 1.0*l[ 7]+1.0*l[15]+1.0*l[23]
out[ 5] = 1.0*l[ 8]+1.0*l[16]+1.0*l[24]
out[ 6] = 1.0*l[13]+1.0*l[21]+1.0*l[29]+1.0*l[37]
out[ 7] = 1.0*l[17]+1.0*l[25]+1.0*l[33]
out[ 8] = 1.0*l[22]+1.0*l[30]+1.0*l[38]
out[ 9] = 1.0*l[26]+1.0*l[34]+1.0*l[35]
out[10] = 1.0*l[31]
out[11] = 1.0*l[32]
out[12] = 1.0*l[39]
out[13] = 1.0*l[40]
out[14] = 1.0*l[41]
out[15] = 1.0*l[42]+1.0*l[50]+1.0*l[58]
out[16] = 1.0*l[43]+1.0*l[51]+1.0*l[59]+1.0*l[67]
out[17] = 1.0*l[44]+1.0*l[52]+1.0*l[60]+1.0*l[68]+1.0*l[76]
out[18] = 1.0*l[45]+1.0*l[46]+1.0*l[54]
out[19] = 1.0*l[47]+1.0*l[55]+1.0*l[63]
out[20] = 1.0*l[48]
out[21] = 1.0*l[49]
out[22] = 1.0*l[53]+1.0*l[61]+1.0*l[69]+1.0*l[77]
out[23] = 1.0*l[56]+1.0*l[64]+1.0*l[72]
out[24] = 1.0*l[57]+1.0*l[65]+1.0*l[73]
out[25] = 1.0*l[62]+1.0*l[70]+1.0*l[71]+1.0*l[78]+1.0*l[79]+1.0*l[80]
out[26] = 1.0*l[66]+1.0*l[74]+1.0*l[75]
# pack diago-pair (not tested)
l = np.ravel(tile[:,:,1])
out[27] = 1.0*l[ 0]+1.0*l[10]+1.0*l[20]
out[28] = 1.0*l[ 1]+1.0*l[11]+1.0*l[21]
out[29] = 1.0*l[ 2]+1.0*l[ 3]+1.0*l[12]
out[30] = 1.0*l[ 4]+1.0*l[14]+1.0*l[24]+1.0*l[34]+1.0*l[44]
out[31] = 1.0*l[ 5]+1.0*l[15]+1.0*l[25]+1.0*l[35]
out[32] = 1.0*l[ 6]+1.0*l[ 7]+1.0*l[ 8]+1.0*l[16]+1.0*l[17]+1.0*l[26]
out[33] = 1.0*l[ 9]+1.0*l[19]+1.0*l[29]
out[34] = 1.0*l[13]+1.0*l[23]+1.0*l[43]
out[35] = 1.0*l[18]+1.0*l[27]+1.0*l[28]
out[36] = 1.0*l[22]+1.0*l[32]+1.0*l[42]
out[37] = 1.0*l[30]
out[38] = 1.0*l[31]
out[39] = 1.0*l[36]+1.0*l[46]+1.0*l[56]+1.0*l[66]+1.0*l[76]
out[40] = 1.0*l[37]+1.0*l[47]+1.0*l[57]+1.0*l[67]
out[41] = 1.0*l[38]+1.0*l[48]+1.0*l[58]
out[42] = 1.0*l[39]
out[43] = 1.0*l[40]
out[44] = 1.0*l[41]
out[45] = 1.0*l[45]+1.0*l[55]+1.0*l[65]+1.0*l[75]
out[46] = 1.0*l[49]
out[47] = 1.0*l[50]
out[48] = 1.0*l[51]+1.0*l[61]+1.0*l[71]
out[49] = 1.0*l[52]+1.0*l[53]+1.0*l[62]
out[50] = 1.0*l[54]+1.0*l[63]+1.0*l[64]+1.0*l[72]+1.0*l[73]+1.0*l[74]
out[51] = 1.0*l[59]+1.0*l[69]+1.0*l[79]
out[52] = 1.0*l[60]+1.0*l[70]+1.0*l[80]
out[53] = 1.0*l[68]+1.0*l[77]+1.0*l[78]
# pack hor-pairs
l = np.ravel(tile[:,:,2])
out[54] = 1.0*l[ 0]+1.0*l[ 1]+1.0*l[ 9]+1.0*l[10]+1.0*l[18]+1.0*l[27]+1.0*l[36]+1.0*l[45]+1.0*l[54]+1.0*l[63]+1.0*l[64]+1.0*l[72]+1.0*l[73]
out[55] = 1.0*l[ 2]+1.0*l[11]+1.0*l[20]
out[56] = 1.0*l[ 3]+1.0*l[12]+1.0*l[21]
out[57] = 1.0*l[ 4]+1.0*l[13]+1.0*l[22]
out[58] = 1.0*l[ 5]+1.0*l[14]+1.0*l[23]
out[59] = 1.0*l[ 6]+1.0*l[15]+1.0*l[24]
out[60] = 1.0*l[ 7]+1.0*l[ 8]+1.0*l[16]+1.0*l[17]+1.0*l[26]+1.0*l[35]+1.0*l[44]+1.0*l[53]+1.0*l[62]+1.0*l[70]+1.0*l[71]+1.0*l[79]+1.0*l[80]
out[61] = 1.0*l[19]+1.0*l[28]+1.0*l[37]+1.0*l[46]+1.0*l[55]
out[62] = 1.0*l[25]+1.0*l[34]+1.0*l[43]+1.0*l[52]+1.0*l[61]
out[63] = 1.0*l[29]+1.0*l[38]+1.0*l[47]
out[64] = 1.0*l[30]
out[65] = 1.0*l[31]
out[66] = 1.0*l[32]
out[67] = 1.0*l[33]+1.0*l[42]+1.0*l[51]
out[68] = 1.0*l[39]
out[69] = 1.0*l[40]
out[70] = 1.0*l[41]
out[71] = 1.0*l[48]
out[72] = 1.0*l[49]
out[73] = 1.0*l[50]
out[74] = 1.0*l[56]+1.0*l[65]+1.0*l[74]
out[75] = 1.0*l[57]+1.0*l[66]+1.0*l[75]
out[76] = 1.0*l[58]+1.0*l[67]+1.0*l[76]
out[77] = 1.0*l[59]+1.0*l[68]+1.0*l[77]
out[78] = 1.0*l[60]+1.0*l[69]+1.0*l[78]
# pack vert-pairs
l = np.ravel(tile[:,:,3])
out[79] = 1.0*l[ 0]+1.0*l[ 1]+1.0*l[ 2]+1.0*l[ 3]+1.0*l[ 4]+1.0*l[ 5]+1.0*l[ 6]+1.0*l[ 7]+1.0*l[ 8]+1.0*l[ 9]+1.0*l[10]+1.0*l[11]+1.0*l[16]+1.0*l[17]
out[80] = 1.0*l[11]+1.0*l[12]+1.0*l[13]+1.0*l[14]+1.0*l[15]
out[81] = 1.0*l[18]+1.0*l[19]+1.0*l[20]
out[82] = 1.0*l[21]+1.0*l[22]+1.0*l[23]
out[83] = 1.0*l[24]+1.0*l[25]+1.0*l[26]
out[84] = 1.0*l[27]+1.0*l[28]+1.0*l[29]
out[85] = 1.0*l[30]
out[86] = 1.0*l[31]
out[87] = 1.0*l[32]
out[88] = 1.0*l[33]+1.0*l[34]+1.0*l[35]
out[89] = 1.0*l[36]+1.0*l[37]+1.0*l[38]
out[90] = 1.0*l[39]
out[91] = 1.0*l[40]
out[92] = 1.0*l[41]
out[93] = 1.0*l[42]+1.0*l[43]+1.0*l[44]
out[94] = 1.0*l[45]+1.0*l[46]+1.0*l[47]
out[95] = 1.0*l[48]
out[96] = 1.0*l[49]
out[97] = 1.0*l[50]
out[98] = 1.0*l[51]+1.0*l[52]+1.0*l[53]
out[99] = 1.0*l[54]+1.0*l[55]+1.0*l[56]
out[100] = 1.0*l[57]+1.0*l[58]+1.0*l[59]
out[101] = 1.0*l[60]+1.0*l[61]+1.0*l[62]
out[102] = 1.0*l[63]+1.0*l[64]+1.0*l[70]+1.0*l[71]+1.0*l[72]+1.0*l[73]+1.0*l[74]+1.0*l[75]+1.0*l[76]+1.0*l[77]+1.0*l[78]+1.0*l[79]+1.0*l[80]
out[103] = 1.0*l[65]+1.0*l[66]+1.0*l[67]+1.0*l[68]+1.0*l[69]
return out
# pack single
def pack_tile(tile):
return pack_tile_type1(tile)
# pack all tiles
def pack(tiles,ptype=1):
if ptype==1:
pack_func = pack_tile_type1
elif ptype==2:
pack_func = pack_tile_type2
output = np.array([[pack_func(tiles[i,j]) for j in range(tiles.shape[1])] for i in range(tiles.shape[0])])
return output
# tiles are already packed
def get_tile_with_neighbors(tiles,i,j,radius):
out = np.array([])
# max
Y,X = tiles.shape[0:2]
#print(str(Y)+" "+str(X))
for k in range(2*radius+1):
y = i+k-radius
if y<0:
y = 0
elif y>(Y-1):
y = Y-1
for l in range(2*radius+1):
x = j+l-radius
if x<0:
x = 0
elif x>(X-1):
x = X-1
out = np.append(out,tiles[y,x])
return out