├── README.md
├── __init__.py
├── data
├── example1.gif
├── example2_optimization.gif
├── example2_ref.png
├── example2_result.gif
├── example3_ref.png
├── example3_result.gif
├── example4_init.png
├── example4_ref.png
├── example4_result.gif
├── example5_ref.png
└── teapot.obj
├── example1.py
├── example2.py
├── example3.py
├── example4.py
├── obj.py
├── result
├── example1.gif
├── example2.gif
├── example2_optimization.gif
├── example3.gif
├── example3_optimization.gif
├── example4.gif
└── example4_optimization.gif
└── tf_neuralrenderer.py
/README.md:
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1 | ### Tensorflow wrapper for Neural Mesh Renderer [Arxiv]
2 |
3 | ### Requirements
4 | - Tensorflow
5 | - Chainer
6 | - Neural Mesh Renderer
7 |
8 | ### Reference
9 | - Neural Mesh Renderer
10 | - Learning Category-Specific Mesh Reconstruction from Image Collections
11 |
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/__init__.py:
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/data/example1.gif:
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/data/example2_optimization.gif:
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/data/example2_ref.png:
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/data/example2_result.gif:
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/data/example3_ref.png:
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/data/example4_init.png:
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/data/example4_ref.png:
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/data/example4_result.gif:
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/data/example5_ref.png:
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1710 | vn -0.622303 0.474776 0.622303
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1721 | vn 0.046205 0.998840 -0.012726
1722 | vn -0.525376 0.839106 0.140843
1723 | vn -0.756340 0.621876 0.202918
1724 | vn -0.850551 0.473769 0.228217
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1738 | vn 0.859004 -0.122379 0.497085
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1743 | vn -0.761803 0.474471 -0.440962
1744 | vn 0.662465 -0.349620 0.662465
1745 | vn 0.701773 -0.122471 0.701773
1746 | vn 0.587878 0.555650 0.587878
1747 | vn 0.034272 0.998810 0.034272
1748 | vn -0.383831 0.839808 -0.383831
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1782 | vn -0.024415 0.998810 0.041749
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1789 | vn -0.034272 0.998810 0.034272
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1802 | vn -0.803217 0.555376 0.215339
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1902 | vn -0.256172 0.152104 -0.954558
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1907 | vn 0.000000 0.265542 -0.964080
1908 | vn 0.000000 0.151891 -0.988372
1909 | vn 0.000000 -0.045656 -0.998932
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1912 | vn 0.243446 0.342753 -0.907315
1913 | vn 0.249855 0.265877 -0.931028
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1915 | vn 0.258980 -0.045717 -0.964782
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1917 | vn 0.460799 0.392285 -0.796075
1918 | vn 0.470504 0.343333 -0.812830
1919 | vn 0.482864 0.266366 -0.834162
1920 | vn 0.495132 0.152379 -0.855312
1921 | vn 0.500504 -0.045808 -0.864498
1922 | vn 0.641804 0.419691 -0.641804
1923 | vn 0.650349 0.392499 -0.650349
1924 | vn 0.664052 0.343577 -0.664052
1925 | vn 0.681509 0.266579 -0.681509
1926 | vn 0.698813 0.152501 -0.698813
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1928 | vn 0.785638 0.419416 -0.454756
1929 | vn 0.796075 0.392285 -0.460799
1930 | vn 0.812830 0.343364 -0.470504
1931 | vn 0.834162 0.266366 -0.482864
1932 | vn 0.855312 0.152379 -0.495132
1933 | vn 0.864498 -0.045808 -0.500504
1934 | vn 0.877041 0.418744 -0.235298
1935 | vn 0.888668 0.391644 -0.238441
1936 | vn 0.907315 0.342753 -0.243446
1937 | vn 0.795892 -0.566485 0.213538
1938 | vn 0.712180 -0.701987 0.000000
1939 | vn 0.687399 -0.702445 0.184393
1940 | vn 0.652974 -0.757347 0.000000
1941 | vn 0.630146 -0.757805 0.169012
1942 | vn 0.724021 -0.689749 0.000000
1943 | vn 0.698752 -0.690329 0.187414
1944 | vn 0.886410 -0.462874 0.000000
1945 | vn 0.855861 -0.463454 0.229530
1946 | vn 0.817774 -0.327158 0.473434
1947 | vn 0.712729 -0.567248 0.412549
1948 | vn 0.615345 -0.703146 0.356151
1949 | vn 0.564043 -0.758446 0.326456
1950 | vn 0.625660 -0.690939 0.362102
1951 | vn 0.766625 -0.464125 0.443678
1952 | vn 0.668111 -0.327403 0.668111
1953 | vn 0.582171 -0.567522 0.582171
1954 | vn 0.502579 -0.703421 0.502579
1955 | vn 0.460646 -0.758660 0.460646
1956 | vn 0.510971 -0.691183 0.510971
1957 | vn 0.626209 -0.464370 0.626240
1958 | vn 0.473434 -0.327158 0.817774
1959 | vn 0.412549 -0.567248 0.712729
1960 | vn 0.356151 -0.703146 0.615375
1961 | vn 0.326456 -0.758446 0.564043
1962 | vn 0.362102 -0.690939 0.625660
1963 | vn 0.443678 -0.464125 0.766625
1964 | vn 0.245003 -0.326609 0.912839
1965 | vn 0.213538 -0.566485 0.795892
1966 | vn 0.184393 -0.702445 0.687399
1967 | vn 0.169012 -0.757805 0.630146
1968 | vn 0.187414 -0.690329 0.698752
1969 | vn 0.229530 -0.463454 0.855831
1970 | vn 0.000000 -0.326243 0.945250
1971 | vn 0.000000 -0.565996 0.824396
1972 | vn 0.000000 -0.701987 0.712180
1973 | vn 0.000000 -0.757347 0.652974
1974 | vn 0.000000 -0.689749 0.724021
1975 | vn 0.000000 -0.462905 0.886380
1976 | vn -0.245003 -0.326609 0.912839
1977 | vn -0.213538 -0.566485 0.795892
1978 | vn -0.184393 -0.702445 0.687399
1979 | vn -0.169012 -0.757805 0.630146
1980 | vn -0.187414 -0.690329 0.698752
1981 | vn -0.229530 -0.463454 0.855861
1982 | vn -0.473434 -0.327158 0.817774
1983 | vn -0.412549 -0.567248 0.712729
1984 | vn -0.356151 -0.703146 0.615375
1985 | vn -0.326456 -0.758446 0.564043
1986 | vn -0.362102 -0.690939 0.625660
1987 | vn -0.443678 -0.464125 0.766625
1988 | vn -0.668111 -0.327403 0.668111
1989 | vn -0.582171 -0.567522 0.582171
1990 | vn -0.502579 -0.703421 0.502579
1991 | vn -0.460646 -0.758660 0.460646
1992 | vn -0.510971 -0.691183 0.510971
1993 | vn -0.626209 -0.464370 0.626209
1994 | vn -0.817774 -0.327158 0.473434
1995 | vn -0.712729 -0.567248 0.412549
1996 | vn -0.615375 -0.703146 0.356151
1997 | vn -0.564043 -0.758446 0.326456
1998 | vn -0.625660 -0.690939 0.362102
1999 | vn -0.766625 -0.464125 0.443678
2000 | vn -0.912931 -0.326609 0.244575
2001 | vn -0.687399 -0.702445 0.184393
2002 | vn -0.630146 -0.757805 0.169012
2003 | vn -0.698752 -0.690329 0.187414
2004 | vn -0.855831 -0.463485 0.229530
2005 | vn -0.824396 -0.565996 0.000000
2006 | vn -0.712180 -0.701987 0.000000
2007 | vn -0.652974 -0.757347 0.000000
2008 | vn -0.724021 -0.689749 0.000000
2009 | vn -0.886410 -0.462874 0.000000
2010 | vn -0.795892 -0.566485 -0.213538
2011 | vn -0.687399 -0.702445 -0.184393
2012 | vn -0.630146 -0.757805 -0.169012
2013 | vn -0.698752 -0.690329 -0.187414
2014 | vn -0.855831 -0.463454 -0.229530
2015 | vn -0.817774 -0.327158 -0.473434
2016 | vn -0.712729 -0.567217 -0.412549
2017 | vn -0.615375 -0.703146 -0.356151
2018 | vn -0.564043 -0.758446 -0.326456
2019 | vn -0.625660 -0.690939 -0.362102
2020 | vn -0.766625 -0.464125 -0.443678
2021 | vn -0.668111 -0.327403 -0.668111
2022 | vn -0.582171 -0.567522 -0.582171
2023 | vn -0.502579 -0.703421 -0.502579
2024 | vn -0.460646 -0.758660 -0.460646
2025 | vn -0.510971 -0.691183 -0.510971
2026 | vn -0.626209 -0.464370 -0.626209
2027 | vn -0.473434 -0.327158 -0.817774
2028 | vn -0.412549 -0.567248 -0.712729
2029 | vn -0.356151 -0.703146 -0.615375
2030 | vn -0.326456 -0.758446 -0.564043
2031 | vn -0.362102 -0.690939 -0.625660
2032 | vn -0.443678 -0.464125 -0.766625
2033 | vn -0.245003 -0.326609 -0.912839
2034 | vn -0.213538 -0.566485 -0.795892
2035 | vn -0.184393 -0.702445 -0.687399
2036 | vn -0.169012 -0.757805 -0.630146
2037 | vn -0.187414 -0.690329 -0.698752
2038 | vn -0.229530 -0.463454 -0.855831
2039 | vn 0.000000 -0.326243 -0.945250
2040 | vn 0.000000 -0.565996 -0.824396
2041 | vn 0.000000 -0.701987 -0.712180
2042 | vn 0.000000 -0.757347 -0.652974
2043 | vn 0.000000 -0.689749 -0.724021
2044 | vn 0.000000 -0.462905 -0.886380
2045 | vn 0.245003 -0.326609 -0.912839
2046 | vn 0.213538 -0.566485 -0.795892
2047 | vn 0.184393 -0.702445 -0.687399
2048 | vn 0.169012 -0.757805 -0.630146
2049 | vn 0.187445 -0.690329 -0.698752
2050 | vn 0.229530 -0.463454 -0.855861
2051 | vn 0.473434 -0.327158 -0.817774
2052 | vn 0.412549 -0.567248 -0.712729
2053 | vn 0.356151 -0.703146 -0.615375
2054 | vn 0.326456 -0.758446 -0.564043
2055 | vn 0.362102 -0.690939 -0.625660
2056 | vn 0.443678 -0.464125 -0.766625
2057 | vn 0.668111 -0.327403 -0.668111
2058 | vn 0.582171 -0.567522 -0.582171
2059 | vn 0.502579 -0.703421 -0.502579
2060 | vn 0.460646 -0.758660 -0.460646
2061 | vn 0.510971 -0.691183 -0.510971
2062 | vn 0.626209 -0.464370 -0.626209
2063 | vn 0.817774 -0.327158 -0.473434
2064 | vn 0.712729 -0.567248 -0.412549
2065 | vn 0.615375 -0.703146 -0.356151
2066 | vn 0.564043 -0.758446 -0.326456
2067 | vn 0.625660 -0.690939 -0.362102
2068 | vn 0.766625 -0.464125 -0.443678
2069 | vn 0.912839 -0.326609 -0.244942
2070 | vn 0.795892 -0.566485 -0.213538
2071 | vn 0.687399 -0.702445 -0.184393
2072 | vn 0.630146 -0.757805 -0.169012
2073 | vn 0.698752 -0.690329 -0.187414
2074 | vn 0.855861 -0.463454 -0.229530
2075 | vn 0.025666 -0.999664 0.000000
2076 | vn 0.000000 -1.000000 0.000000
2077 | vn 0.024781 -0.999664 -0.006623
2078 | vn 0.068667 -0.997620 0.000000
2079 | vn 0.066256 -0.997620 -0.017731
2080 | vn 0.157170 -0.987548 0.000000
2081 | vn 0.151677 -0.987579 -0.040620
2082 | vn 0.373150 -0.927763 0.000000
2083 | vn 0.360118 -0.927885 -0.096469
2084 | vn 0.789148 -0.614154 0.000000
2085 | vn 0.762017 -0.614399 -0.204505
2086 | vn 0.022156 -0.999664 -0.012787
2087 | vn 0.059236 -0.997650 -0.034272
2088 | vn 0.135624 -0.987640 -0.078463
2089 | vn 0.322153 -0.928129 -0.186377
2090 | vn 0.682333 -0.615131 -0.394971
2091 | vn 0.018067 -0.999664 -0.018067
2092 | vn 0.048341 -0.997650 -0.048341
2093 | vn 0.110691 -0.987640 -0.110691
2094 | vn 0.262947 -0.928251 -0.262947
2095 | vn 0.557329 -0.615375 -0.557329
2096 | vn 0.012787 -0.999664 -0.022156
2097 | vn 0.034272 -0.997650 -0.059236
2098 | vn 0.078463 -0.987640 -0.135624
2099 | vn 0.186377 -0.928129 -0.322153
2100 | vn 0.394971 -0.615131 -0.682302
2101 | vn 0.006623 -0.999664 -0.024781
2102 | vn 0.017731 -0.997620 -0.066256
2103 | vn 0.040620 -0.987579 -0.151677
2104 | vn 0.096469 -0.927885 -0.360118
2105 | vn 0.204474 -0.614399 -0.762017
2106 | vn 0.000000 -0.999664 -0.025666
2107 | vn 0.000000 -0.997620 -0.068667
2108 | vn 0.000000 -0.987548 -0.157170
2109 | vn 0.000000 -0.927763 -0.373150
2110 | vn 0.000000 -0.614154 -0.789148
2111 | vn -0.006623 -0.999664 -0.024781
2112 | vn -0.017731 -0.997620 -0.066256
2113 | vn -0.040620 -0.987579 -0.151677
2114 | vn -0.096469 -0.927885 -0.360118
2115 | vn -0.204474 -0.614399 -0.762017
2116 | vn -0.012787 -0.999664 -0.022156
2117 | vn -0.034272 -0.997650 -0.059236
2118 | vn -0.078463 -0.987640 -0.135624
2119 | vn -0.186377 -0.928129 -0.322153
2120 | vn -0.394971 -0.615131 -0.682333
2121 | vn -0.018067 -0.999664 -0.018067
2122 | vn -0.048341 -0.997650 -0.048341
2123 | vn -0.110691 -0.987640 -0.110691
2124 | vn -0.262947 -0.928251 -0.262947
2125 | vn -0.557329 -0.615375 -0.557329
2126 | vn -0.022156 -0.999664 -0.012787
2127 | vn -0.059236 -0.997650 -0.034272
2128 | vn -0.135624 -0.987640 -0.078463
2129 | vn -0.322153 -0.928129 -0.186377
2130 | vn -0.682302 -0.615131 -0.394971
2131 | vn -0.024781 -0.999664 -0.006623
2132 | vn -0.066256 -0.997620 -0.017731
2133 | vn -0.151677 -0.987579 -0.040620
2134 | vn -0.360118 -0.927885 -0.096469
2135 | vn -0.762017 -0.614399 -0.204474
2136 | vn -0.025666 -0.999664 0.000000
2137 | vn -0.068667 -0.997620 0.000000
2138 | vn -0.157170 -0.987548 0.000000
2139 | vn -0.373150 -0.927763 0.000000
2140 | vn -0.789148 -0.614154 0.000000
2141 | vn -0.024781 -0.999664 0.006623
2142 | vn -0.066256 -0.997620 0.017731
2143 | vn -0.151677 -0.987579 0.040620
2144 | vn -0.360149 -0.927885 0.096469
2145 | vn -0.762017 -0.614399 0.204474
2146 | vn -0.022156 -0.999664 0.012787
2147 | vn -0.059236 -0.997650 0.034272
2148 | vn -0.135624 -0.987640 0.078463
2149 | vn -0.322153 -0.928129 0.186377
2150 | vn -0.682333 -0.615131 0.394971
2151 | vn -0.018067 -0.999664 0.018067
2152 | vn -0.048341 -0.997650 0.048341
2153 | vn -0.110691 -0.987640 0.110691
2154 | vn -0.262947 -0.928251 0.262947
2155 | vn -0.557329 -0.615375 0.557329
2156 | vn -0.012787 -0.999664 0.022156
2157 | vn -0.034272 -0.997650 0.059236
2158 | vn -0.078463 -0.987640 0.135624
2159 | vn -0.186377 -0.928129 0.322153
2160 | vn -0.394971 -0.615131 0.682302
2161 | vn -0.006623 -0.999664 0.024781
2162 | vn -0.017731 -0.997620 0.066256
2163 | vn -0.040620 -0.987579 0.151677
2164 | vn -0.096469 -0.927885 0.360118
2165 | vn -0.204474 -0.614399 0.762017
2166 | vn 0.000000 -0.999664 0.025666
2167 | vn 0.000000 -0.997620 0.068667
2168 | vn 0.000000 -0.987548 0.157170
2169 | vn 0.000000 -0.927763 0.373150
2170 | vn 0.000000 -0.614154 0.789148
2171 | vn 0.006623 -0.999664 0.024781
2172 | vn 0.017731 -0.997620 0.066256
2173 | vn 0.040620 -0.987579 0.151677
2174 | vn 0.096469 -0.927885 0.360149
2175 | vn 0.204474 -0.614399 0.762017
2176 | vn 0.012787 -0.999664 0.022156
2177 | vn 0.034272 -0.997650 0.059236
2178 | vn 0.078463 -0.987640 0.135624
2179 | vn 0.186377 -0.928129 0.322153
2180 | vn 0.394971 -0.615131 0.682333
2181 | vn 0.018067 -0.999664 0.018067
2182 | vn 0.048341 -0.997650 0.048341
2183 | vn 0.110691 -0.987640 0.110691
2184 | vn 0.262947 -0.928251 0.262947
2185 | vn 0.557329 -0.615375 0.557329
2186 | vn 0.022156 -0.999664 0.012787
2187 | vn 0.059236 -0.997650 0.034272
2188 | vn 0.135624 -0.987640 0.078463
2189 | vn 0.322153 -0.928129 0.186346
2190 | vn 0.682302 -0.615131 0.394971
2191 | vn 0.024781 -0.999664 0.006623
2192 | vn 0.066256 -0.997620 0.017731
2193 | vn 0.151677 -0.987579 0.040620
2194 | vn 0.360118 -0.927885 0.096469
2195 | vn 0.762017 -0.614399 0.204474
2196 | vn 0.464827 -0.373638 -0.802667
2197 | vn 0.655812 -0.373882 -0.655812
2198 | vn 0.000000 -0.372539 0.927976
2199 | vn -0.240699 -0.373028 0.896023
2200 | vn -0.802667 -0.373608 0.464827
2201 | vn 0.896023 -0.372997 -0.240699
2202 | vn -0.927976 -0.372539 0.000000
2203 | vn 0.927976 -0.372539 0.000000
2204 | vn 0.717063 0.696982 0.000000
2205 | vn 0.990387 -0.138310 -0.000061
2206 | vn 0.956694 -0.138737 0.255806
2207 | vn 0.692129 0.697470 0.185583
2208 | vn 0.857326 -0.139317 0.495529
2209 | vn 0.620045 0.697653 0.358837
2210 | vn 0.700125 -0.139531 0.700217
2211 | vn 0.506516 0.697714 0.506546
2212 | vn 0.495468 -0.139286 0.857356
2213 | vn 0.358776 0.697714 0.620014
2214 | vn 0.255867 -0.138737 0.956694
2215 | vn 0.185583 0.697531 0.692068
2216 | vn 0.000061 -0.138310 0.990387
2217 | vn 0.000000 0.696982 0.717063
2218 | vn -0.255806 -0.138737 0.956694
2219 | vn -0.185583 0.697470 0.692129
2220 | vn -0.495529 -0.139317 0.857326
2221 | vn -0.358837 0.697653 0.620045
2222 | vn -0.700217 -0.139531 0.700156
2223 | vn -0.506546 0.697714 0.506516
2224 | vn -0.857356 -0.139286 0.495468
2225 | vn -0.620014 0.697714 0.358776
2226 | vn -0.956694 -0.138737 0.255867
2227 | vn -0.692068 0.697531 0.185583
2228 | vn -0.990387 -0.138310 0.000061
2229 | vn -0.717063 0.696982 0.000000
2230 | vn -0.956694 -0.138737 -0.255806
2231 | vn -0.692129 0.697470 -0.185583
2232 | vn -0.857326 -0.139317 -0.495529
2233 | vn -0.620045 0.697653 -0.358837
2234 | vn -0.700125 -0.139531 -0.700217
2235 | vn -0.506516 0.697714 -0.506546
2236 | vn -0.495468 -0.139286 -0.857356
2237 | vn -0.358776 0.697714 -0.620014
2238 | vn -0.255867 -0.138737 -0.956694
2239 | vn -0.185583 0.697531 -0.692068
2240 | vn -0.000061 -0.138310 -0.990387
2241 | vn 0.000000 0.696982 -0.717063
2242 | vn 0.255806 -0.138737 -0.956694
2243 | vn 0.185583 0.697470 -0.692129
2244 | vn 0.495529 -0.139317 -0.857326
2245 | vn 0.358837 0.697653 -0.620045
2246 | vn 0.700217 -0.139531 -0.700156
2247 | vn 0.506546 0.697714 -0.506516
2248 | vn 0.857356 -0.139286 -0.495468
2249 | vn 0.620014 0.697714 -0.358776
2250 | vn 0.956694 -0.138737 -0.255867
2251 | vn 0.692068 0.697531 -0.185583
2252 | vn 0.292520 0.956236 0.000000
2253 | vn 0.282083 0.956389 0.075686
2254 | vn 0.177953 0.984008 0.000000
2255 | vn 0.171606 0.984069 0.046022
2256 | vn 0.158879 0.987274 0.000000
2257 | vn 0.153264 0.987304 0.041078
2258 | vn 0.217719 0.975982 0.000000
2259 | vn 0.210059 0.976043 0.056276
2260 | vn 0.504715 0.863277 0.000000
2261 | vn 0.487197 0.863460 0.130558
2262 | vn 0.693258 0.720664 0.000000
2263 | vn 0.669057 0.721183 0.179449
2264 | vn 0.252388 0.956511 0.146092
2265 | vn 0.153508 0.984130 0.088839
2266 | vn 0.137059 0.987365 0.079318
2267 | vn 0.187872 0.976135 0.108676
2268 | vn 0.435926 0.863887 0.252205
2269 | vn 0.598956 0.721824 0.346660
2270 | vn 0.206091 0.956572 0.206091
2271 | vn 0.125340 0.984161 0.125340
2272 | vn 0.111911 0.987396 0.111911
2273 | vn 0.153356 0.976196 0.153356
2274 | vn 0.355907 0.864071 0.355907
2275 | vn 0.489151 0.722098 0.489151
2276 | vn 0.146092 0.956511 0.252388
2277 | vn 0.088839 0.984130 0.153508
2278 | vn 0.079318 0.987365 0.137059
2279 | vn 0.108676 0.976135 0.187872
2280 | vn 0.252205 0.863887 0.435926
2281 | vn 0.346660 0.721824 0.598956
2282 | vn 0.075686 0.956389 0.282083
2283 | vn 0.046022 0.984069 0.171606
2284 | vn 0.041078 0.987304 0.153264
2285 | vn 0.056276 0.976043 0.210059
2286 | vn 0.130558 0.863460 0.487197
2287 | vn 0.179449 0.721183 0.669057
2288 | vn 0.000000 0.956236 0.292520
2289 | vn 0.000000 0.984008 0.177953
2290 | vn 0.000000 0.987274 0.158879
2291 | vn 0.000000 0.975982 0.217719
2292 | vn 0.000000 0.863277 0.504715
2293 | vn 0.000000 0.720664 0.693258
2294 | vn -0.075686 0.956389 0.282083
2295 | vn -0.046022 0.984069 0.171606
2296 | vn -0.041078 0.987304 0.153264
2297 | vn -0.056276 0.976043 0.210059
2298 | vn -0.130558 0.863460 0.487197
2299 | vn -0.179449 0.721183 0.669057
2300 | vn -0.146092 0.956511 0.252388
2301 | vn -0.088839 0.984130 0.153508
2302 | vn -0.079318 0.987365 0.137059
2303 | vn -0.108676 0.976135 0.187872
2304 | vn -0.252205 0.863887 0.435926
2305 | vn -0.346660 0.721824 0.598956
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2580 | vn 0.294198 -0.855403 0.426252
2581 | vn 0.201300 -0.540880 0.816614
2582 | s 1
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2722 | f 121//98 143//97 122//99
2723 | f 92//100 121//98 122//99
2724 | f 92//100 122//99 93//101
2725 | f 62//102 92//100 93//101
2726 | f 62//102 93//101 63//103
2727 | f 39//104 62//102 63//103
2728 | f 39//104 63//103 51//105
2729 | f 10//106 39//104 51//105
2730 | f 10//106 51//105 49//107
2731 | f 143//97 128//15 114//23
2732 | f 143//97 114//23 142//108
2733 | f 122//99 143//97 142//108
2734 | f 122//99 142//108 123//109
2735 | f 93//101 122//99 123//109
2736 | f 93//101 123//109 94//110
2737 | f 63//103 93//101 94//110
2738 | f 63//103 94//110 76//111
2739 | f 51//105 63//103 76//111
2740 | f 51//105 76//111 75//112
2741 | f 49//107 51//105 75//112
2742 | f 49//107 75//112 61//113
2743 | f 142//108 114//23 113//30
2744 | f 142//108 113//30 141//114
2745 | f 123//109 142//108 141//114
2746 | f 123//109 141//114 124//115
2747 | f 94//110 123//109 124//115
2748 | f 94//110 124//115 106//116
2749 | f 76//111 94//110 106//116
2750 | f 76//111 106//116 105//117
2751 | f 75//112 76//111 105//117
2752 | f 75//112 105//117 91//118
2753 | f 61//113 75//112 91//118
2754 | f 61//113 91//118 90//119
2755 | f 141//114 113//30 112//39
2756 | f 141//114 112//39 140//120
2757 | f 124//115 141//114 140//120
2758 | f 124//115 140//120 135//121
2759 | f 106//116 124//115 135//121
2760 | f 106//116 135//121 134//122
2761 | f 105//117 106//116 134//122
2762 | f 105//117 134//122 120//123
2763 | f 91//118 105//117 120//123
2764 | f 91//118 120//123 119//124
2765 | f 90//119 91//118 119//124
2766 | f 140//120 112//39 111//47
2767 | f 140//120 111//47 139//125
2768 | f 135//121 140//120 139//125
2769 | f 135//121 139//125 155//126
2770 | f 134//122 135//121 155//126
2771 | f 134//122 155//126 147//127
2772 | f 120//123 134//122 147//127
2773 | f 120//123 147//127 144//128
2774 | f 119//124 120//123 144//128
2775 | f 119//124 144//128 116//129
2776 | f 26//2 1234//130 592//57
2777 | f 139//125 111//47 110//55
2778 | f 139//125 110//55 138//131
2779 | f 155//126 139//125 138//131
2780 | f 155//126 138//131 156//132
2781 | f 147//127 155//126 156//132
2782 | f 147//127 156//132 145//133
2783 | f 144//128 147//127 145//133
2784 | f 144//128 145//133 117//134
2785 | f 116//129 144//128 117//134
2786 | f 116//129 117//134 88//135
2787 | f 27//5 13//72 12//95
2788 | f 1242//136 88//135 71//137
2789 | f 138//131 110//55 109//63
2790 | f 138//131 109//63 137//138
2791 | f 156//132 138//131 137//138
2792 | f 156//132 137//138 154//139
2793 | f 145//133 156//132 154//139
2794 | f 145//133 154//139 131//140
2795 | f 117//134 145//133 131//140
2796 | f 117//134 131//140 101//141
2797 | f 88//135 117//134 101//141
2798 | f 88//135 101//141 86//142
2799 | f 60//143 74//144 1248//145
2800 | f 137//138 109//63 127//71
2801 | f 137//138 127//71 151//146
2802 | f 154//139 137//138 151//146
2803 | f 154//139 151//146 153//147
2804 | f 131//140 154//139 153//147
2805 | f 131//140 153//147 130//148
2806 | f 101//141 131//140 130//148
2807 | f 101//141 130//148 100//149
2808 | f 86//142 101//141 100//149
2809 | f 86//142 100//149 74//144
2810 | f 47//150 1235//151 631//152
2811 | f 74//144 48//153 1248//145
2812 | f 151//146 127//71 126//80
2813 | f 151//146 126//80 150//154
2814 | f 153//147 151//146 150//154
2815 | f 153//147 150//154 146//155
2816 | f 130//148 153//147 146//155
2817 | f 130//148 146//155 118//156
2818 | f 100//149 130//148 118//156
2819 | f 100//149 118//156 89//157
2820 | f 74//144 100//149 89//157
2821 | f 74//144 89//157 48//153
2822 | f 1247//158 87//159 715//160
2823 | f 104//161 116//129 1242//136
2824 | f 150//154 126//80 125//88
2825 | f 150//154 125//88 149//162
2826 | f 146//155 150//154 149//162
2827 | f 146//155 149//162 132//163
2828 | f 118//156 146//155 132//163
2829 | f 118//156 132//163 102//164
2830 | f 89//157 118//156 102//164
2831 | f 89//157 102//164 72//165
2832 | f 48//153 89//157 72//165
2833 | f 48//153 72//165 46//166
2834 | f 37//167 48//153 46//166
2835 | f 37//167 46//166 38//168
2836 | f 149//162 125//88 136//94
2837 | f 149//162 136//94 152//169
2838 | f 132//163 149//162 152//169
2839 | f 132//163 152//169 133//170
2840 | f 102//164 132//163 133//170
2841 | f 102//164 133//170 103//171
2842 | f 72//165 102//164 103//171
2843 | f 72//165 103//171 73//172
2844 | f 46//166 72//165 73//172
2845 | f 46//166 73//172 50//173
2846 | f 38//168 46//166 50//173
2847 | f 38//168 50//173 25//174
2848 | f 152//169 136//94 129//14
2849 | f 152//169 129//14 148//96
2850 | f 133//170 152//169 148//96
2851 | f 133//170 148//96 121//98
2852 | f 103//171 133//170 121//98
2853 | f 103//171 121//98 92//100
2854 | f 73//172 103//171 92//100
2855 | f 73//172 92//100 62//102
2856 | f 50//173 73//172 62//102
2857 | f 50//173 62//102 39//104
2858 | f 25//174 50//173 39//104
2859 | f 39//104 10//106 25//174
2860 | f 539//175 509//176 159//177
2861 | f 160//178 158//179 157//180
2862 | f 166//181 160//178 163//182
2863 | f 166//181 163//182 173//183
2864 | f 177//184 166//181 173//183
2865 | f 177//184 173//183 183//185
2866 | f 189//186 177//184 183//185
2867 | f 189//186 183//185 197//187
2868 | f 205//188 189//186 197//187
2869 | f 205//188 197//187 216//189
2870 | f 225//190 205//188 216//189
2871 | f 225//190 216//189 235//191
2872 | f 173//183 163//182 172//192
2873 | f 173//183 172//192 184//193
2874 | f 183//185 173//183 184//193
2875 | f 183//185 184//193 198//194
2876 | f 197//187 183//185 198//194
2877 | f 197//187 198//194 217//195
2878 | f 216//189 197//187 217//195
2879 | f 216//189 217//195 236//196
2880 | f 235//191 216//189 236//196
2881 | f 235//191 236//196 253//197
2882 | f 182//198 172//192 1254//199
2883 | f 1255//200 167//201 595//202
2884 | f 184//193 172//192 182//198
2885 | f 184//193 182//198 196//203
2886 | f 198//194 184//193 196//203
2887 | f 198//194 196//203 214//204
2888 | f 217//195 198//194 214//204
2889 | f 217//195 214//204 232//205
2890 | f 236//196 217//195 232//205
2891 | f 236//196 232//205 250//206
2892 | f 253//197 236//196 250//206
2893 | f 253//197 250//206 267//207
2894 | f 196//203 182//198 199//208
2895 | f 196//203 199//208 215//209
2896 | f 214//204 196//203 215//209
2897 | f 214//204 215//209 233//210
2898 | f 232//205 214//204 233//210
2899 | f 232//205 233//210 251//211
2900 | f 250//206 232//205 251//211
2901 | f 250//206 251//211 257//212
2902 | f 267//207 250//206 257//212
2903 | f 267//207 257//212 256//213
2904 | f 215//209 199//208 218//214
2905 | f 215//209 218//214 234//215
2906 | f 233//210 215//209 234//215
2907 | f 233//210 234//215 241//216
2908 | f 251//211 233//210 241//216
2909 | f 251//211 241//216 240//217
2910 | f 257//212 251//211 240//217
2911 | f 257//212 240//217 239//218
2912 | f 256//213 257//212 239//218
2913 | f 256//213 239//218 238//219
2914 | f 234//215 218//214 219//220
2915 | f 234//215 219//220 224//221
2916 | f 241//216 234//215 224//221
2917 | f 241//216 224//221 223//222
2918 | f 240//217 241//216 223//222
2919 | f 240//217 223//222 222//223
2920 | f 239//218 240//217 222//223
2921 | f 239//218 222//223 221//224
2922 | f 238//219 239//218 221//224
2923 | f 238//219 221//224 220//225
2924 | f 219//220 218//214 1285//226
2925 | f 648//227 691//228 207//229
2926 | f 224//221 219//220 208//230
2927 | f 224//221 208//230 204//231
2928 | f 223//222 224//221 204//231
2929 | f 223//222 204//231 203//232
2930 | f 222//223 223//222 203//232
2931 | f 222//223 203//232 202//233
2932 | f 221//224 222//223 202//233
2933 | f 221//224 202//233 201//234
2934 | f 220//225 221//224 201//234
2935 | f 220//225 201//234 212//235
2936 | f 204//231 208//230 191//236
2937 | f 204//231 191//236 188//237
2938 | f 203//232 204//231 188//237
2939 | f 203//232 188//237 187//238
2940 | f 202//233 203//232 187//238
2941 | f 202//233 187//238 186//239
2942 | f 201//234 202//233 186//239
2943 | f 201//234 186//239 194//240
2944 | f 212//235 201//234 194//240
2945 | f 212//235 194//240 211//241
2946 | f 188//237 191//236 174//242
2947 | f 188//237 174//242 176//243
2948 | f 187//238 188//237 176//243
2949 | f 187//238 176//243 175//244
2950 | f 186//239 187//238 175//244
2951 | f 186//239 175//244 180//245
2952 | f 194//240 186//239 180//245
2953 | f 194//240 180//245 193//246
2954 | f 211//241 194//240 193//246
2955 | f 211//241 193//246 210//247
2956 | f 613//248 585//249 1258//250
2957 | f 176//243 174//242 168//251
2958 | f 176//243 168//251 165//252
2959 | f 175//244 176//243 165//252
2960 | f 175//244 165//252 170//253
2961 | f 180//245 175//244 170//253
2962 | f 180//245 170//253 179//254
2963 | f 193//246 180//245 179//254
2964 | f 193//246 179//254 192//255
2965 | f 210//247 193//246 192//255
2966 | f 210//247 192//255 209//256
2967 | f 168//251 174//242 164//257
2968 | f 165//252 168//251 161//258
2969 | f 165//252 161//258 162//259
2970 | f 170//253 165//252 162//259
2971 | f 170//253 162//259 171//260
2972 | f 179//254 170//253 171//260
2973 | f 179//254 171//260 181//261
2974 | f 192//255 179//254 181//261
2975 | f 192//255 181//261 195//262
2976 | f 209//256 192//255 195//262
2977 | f 209//256 195//262 213//263
2978 | f 160//178 161//258 158//179
2979 | f 161//258 160//178 162//259
2980 | f 162//259 160//178 166//181
2981 | f 171//260 162//259 166//181
2982 | f 171//260 166//181 177//184
2983 | f 181//261 171//260 177//184
2984 | f 181//261 177//184 189//186
2985 | f 195//262 181//261 189//186
2986 | f 195//262 189//186 205//188
2987 | f 213//263 195//262 205//188
2988 | f 213//263 205//188 225//190
2989 | f 242//264 225//190 235//191
2990 | f 242//264 235//191 252//265
2991 | f 258//266 242//264 252//265
2992 | f 258//266 252//265 268//267
2993 | f 273//268 258//266 268//267
2994 | f 273//268 268//267 283//269
2995 | f 287//270 273//268 283//269
2996 | f 287//270 283//269 298//271
2997 | f 300//272 287//270 298//271
2998 | f 300//272 298//271 299//273
2999 | f 312//274 300//272 299//273
3000 | f 312//274 299//273 310//275
3001 | f 252//265 235//191 253//197
3002 | f 252//265 253//197 269//276
3003 | f 268//267 252//265 269//276
3004 | f 268//267 269//276 284//277
3005 | f 283//269 268//267 284//277
3006 | f 283//269 284//277 286//278
3007 | f 298//271 283//269 286//278
3008 | f 298//271 286//278 285//279
3009 | f 299//273 298//271 285//279
3010 | f 299//273 285//279 296//280
3011 | f 310//275 299//273 296//280
3012 | f 310//275 296//280 309//281
3013 | f 269//276 253//197 267//207
3014 | f 269//276 267//207 272//282
3015 | f 284//277 269//276 272//282
3016 | f 284//277 272//282 271//283
3017 | f 286//278 284//277 271//283
3018 | f 286//278 271//283 270//284
3019 | f 285//279 286//278 270//284
3020 | f 285//279 270//284 281//285
3021 | f 296//280 285//279 281//285
3022 | f 296//280 281//285 295//286
3023 | f 309//281 296//280 295//286
3024 | f 309//281 295//286 308//287
3025 | f 272//282 267//207 256//213
3026 | f 272//282 256//213 255//288
3027 | f 271//283 272//282 255//288
3028 | f 271//283 255//288 254//289
3029 | f 270//284 271//283 254//289
3030 | f 270//284 254//289 265//290
3031 | f 281//285 270//284 265//290
3032 | f 281//285 265//290 280//291
3033 | f 295//286 281//285 280//291
3034 | f 295//286 280//291 294//292
3035 | f 308//287 295//286 294//292
3036 | f 308//287 294//292 307//293
3037 | f 255//288 256//213 238//219
3038 | f 255//288 238//219 237//294
3039 | f 254//289 255//288 237//294
3040 | f 254//289 237//294 248//295
3041 | f 265//290 254//289 248//295
3042 | f 265//290 248//295 264//296
3043 | f 280//291 265//290 264//296
3044 | f 280//291 264//296 279//297
3045 | f 294//292 280//291 279//297
3046 | f 294//292 279//297 293//298
3047 | f 307//293 294//292 293//298
3048 | f 307//293 293//298 306//299
3049 | f 237//294 238//219 220//225
3050 | f 237//294 220//225 230//300
3051 | f 248//295 237//294 230//300
3052 | f 248//295 230//300 247//301
3053 | f 264//296 248//295 247//301
3054 | f 264//296 247//301 263//302
3055 | f 279//297 264//296 263//302
3056 | f 279//297 263//302 278//303
3057 | f 293//298 279//297 278//303
3058 | f 293//298 278//303 292//304
3059 | f 306//299 293//298 292//304
3060 | f 306//299 292//304 305//305
3061 | f 230//300 220//225 212//235
3062 | f 230//300 212//235 229//306
3063 | f 247//301 230//300 229//306
3064 | f 247//301 229//306 246//307
3065 | f 263//302 247//301 246//307
3066 | f 263//302 246//307 262//308
3067 | f 278//303 263//302 262//308
3068 | f 278//303 262//308 277//309
3069 | f 292//304 278//303 277//309
3070 | f 292//304 277//309 291//310
3071 | f 305//305 292//304 291//310
3072 | f 305//305 291//310 304//311
3073 | f 229//306 212//235 211//241
3074 | f 229//306 211//241 228//312
3075 | f 246//307 229//306 228//312
3076 | f 246//307 228//312 245//313
3077 | f 262//308 246//307 245//313
3078 | f 262//308 245//313 261//314
3079 | f 277//309 262//308 261//314
3080 | f 277//309 261//314 276//315
3081 | f 291//310 277//309 276//315
3082 | f 291//310 276//315 290//316
3083 | f 304//311 291//310 290//316
3084 | f 304//311 290//316 303//317
3085 | f 228//312 211//241 210//247
3086 | f 228//312 210//247 227//318
3087 | f 245//313 228//312 227//318
3088 | f 245//313 227//318 244//319
3089 | f 261//314 245//313 244//319
3090 | f 261//314 244//319 260//320
3091 | f 276//315 261//314 260//320
3092 | f 276//315 260//320 275//321
3093 | f 290//316 276//315 275//321
3094 | f 290//316 275//321 289//322
3095 | f 303//317 290//316 289//322
3096 | f 303//317 289//322 302//323
3097 | f 227//318 210//247 209//256
3098 | f 227//318 209//256 226//324
3099 | f 244//319 227//318 226//324
3100 | f 244//319 226//324 243//325
3101 | f 260//320 244//319 243//325
3102 | f 260//320 243//325 259//326
3103 | f 275//321 260//320 259//326
3104 | f 275//321 259//326 274//327
3105 | f 289//322 275//321 274//327
3106 | f 289//322 274//327 288//328
3107 | f 302//323 289//322 288//328
3108 | f 302//323 288//328 301//329
3109 | f 226//324 209//256 213//263
3110 | f 226//324 213//263 231//330
3111 | f 243//325 226//324 231//330
3112 | f 243//325 231//330 249//331
3113 | f 259//326 243//325 249//331
3114 | f 259//326 249//331 266//332
3115 | f 274//327 259//326 266//332
3116 | f 274//327 266//332 282//333
3117 | f 288//328 274//327 282//333
3118 | f 288//328 282//333 297//334
3119 | f 301//329 288//328 297//334
3120 | f 301//329 297//334 311//335
3121 | f 231//330 213//263 225//190
3122 | f 231//330 225//190 242//264
3123 | f 249//331 231//330 242//264
3124 | f 249//331 242//264 258//266
3125 | f 266//332 249//331 258//266
3126 | f 266//332 258//266 273//268
3127 | f 282//333 266//332 273//268
3128 | f 282//333 273//268 287//270
3129 | f 297//334 282//333 287//270
3130 | f 297//334 287//270 300//272
3131 | f 311//335 297//334 300//272
3132 | f 311//335 300//272 312//274
3133 | f 312//274 310//275 323//336
3134 | f 302//323 315//337 316//338
3135 | f 304//311 317//339 318//340
3136 | f 303//317 316//338 317//339
3137 | f 309//281 308//287 321//341
3138 | f 307//293 306//299 319//342
3139 | f 311//335 313//343 314//344
3140 | f 301//329 314//344 315//337
3141 | f 312//274 324//345 313//343
3142 | f 306//299 305//305 318//340
3143 | f 308//287 307//293 320//346
3144 | f 310//275 309//281 322//347
3145 | f 322//347 321//341 325//348
3146 | f 314//344 313//343 325//348
3147 | f 323//336 322//347 325//348
3148 | f 319//342 318//340 325//348
3149 | f 315//337 314//344 325//348
3150 | f 321//341 320//346 325//348
3151 | f 324//345 323//336 325//348
3152 | f 320//346 319//342 325//348
3153 | f 317//339 316//338 325//348
3154 | f 316//338 315//337 325//348
3155 | f 313//343 324//345 325//348
3156 | f 318//340 317//339 325//348
3157 | f 326//349 327//350 328//351
3158 | f 326//349 328//351 329//352
3159 | f 333//353 326//349 329//352
3160 | f 333//353 329//352 338//354
3161 | f 347//355 333//353 338//354
3162 | f 347//355 338//354 354//356
3163 | f 364//357 347//355 354//356
3164 | f 364//357 354//356 374//358
3165 | f 386//359 364//357 374//358
3166 | f 386//359 374//358 398//360
3167 | f 412//361 386//359 398//360
3168 | f 412//361 398//360 429//362
3169 | f 329//352 328//351 334//363
3170 | f 329//352 334//363 339//364
3171 | f 338//354 329//352 339//364
3172 | f 338//354 339//364 355//365
3173 | f 354//356 338//354 355//365
3174 | f 354//356 355//365 375//366
3175 | f 374//358 354//356 375//366
3176 | f 374//358 375//366 399//367
3177 | f 398//360 374//358 399//367
3178 | f 398//360 399//367 430//368
3179 | f 429//362 398//360 430//368
3180 | f 429//362 430//368 464//369
3181 | f 339//364 334//363 342//370
3182 | f 339//364 342//370 356//371
3183 | f 355//365 339//364 356//371
3184 | f 355//365 356//371 376//372
3185 | f 375//366 355//365 376//372
3186 | f 375//366 376//372 400//373
3187 | f 399//367 375//366 400//373
3188 | f 399//367 400//373 431//374
3189 | f 430//368 399//367 431//374
3190 | f 430//368 431//374 465//375
3191 | f 464//369 430//368 465//375
3192 | f 464//369 465//375 497//376
3193 | f 356//371 342//370 351//377
3194 | f 356//371 351//377 370//378
3195 | f 376//372 356//371 370//378
3196 | f 376//372 370//378 393//379
3197 | f 400//373 376//372 393//379
3198 | f 400//373 393//379 422//380
3199 | f 431//374 400//373 422//380
3200 | f 431//374 422//380 457//381
3201 | f 465//375 431//374 457//381
3202 | f 465//375 457//381 490//382
3203 | f 497//376 465//375 490//382
3204 | f 497//376 490//382 521//383
3205 | f 370//378 351//377 361//384
3206 | f 370//378 361//384 382//385
3207 | f 393//379 370//378 382//385
3208 | f 393//379 382//385 408//386
3209 | f 422//380 393//379 408//386
3210 | f 422//380 408//386 439//387
3211 | f 457//381 422//380 439//387
3212 | f 457//381 439//387 473//388
3213 | f 490//382 457//381 473//388
3214 | f 490//382 473//388 504//389
3215 | f 521//383 490//382 504//389
3216 | f 521//383 504//389 535//390
3217 | f 382//385 361//384 369//391
3218 | f 382//385 369//391 392//392
3219 | f 408//386 382//385 392//392
3220 | f 408//386 392//392 421//393
3221 | f 439//387 408//386 421//393
3222 | f 439//387 421//393 456//394
3223 | f 473//388 439//387 456//394
3224 | f 473//388 456//394 489//395
3225 | f 504//389 473//388 489//395
3226 | f 504//389 489//395 520//396
3227 | f 535//390 504//389 520//396
3228 | f 535//390 520//396 550//397
3229 | f 392//392 369//391 380//398
3230 | f 392//392 380//398 407//399
3231 | f 421//393 392//392 407//399
3232 | f 421//393 407//399 438//400
3233 | f 456//394 421//393 438//400
3234 | f 456//394 438//400 472//401
3235 | f 489//395 456//394 472//401
3236 | f 489//395 472//401 503//402
3237 | f 520//396 489//395 503//402
3238 | f 520//396 503//402 534//403
3239 | f 550//397 520//396 534//403
3240 | f 550//397 534//403 563//404
3241 | f 407//399 380//398 391//405
3242 | f 407//399 391//405 420//406
3243 | f 438//400 407//399 420//406
3244 | f 438//400 420//406 455//407
3245 | f 472//401 438//400 455//407
3246 | f 472//401 455//407 488//408
3247 | f 503//402 472//401 488//408
3248 | f 503//402 488//408 519//409
3249 | f 534//403 503//402 519//409
3250 | f 534//403 519//409 549//410
3251 | f 563//404 534//403 549//410
3252 | f 563//404 549//410 578//411
3253 | f 420//406 391//405 404//412
3254 | f 420//406 404//412 437//413
3255 | f 455//407 420//406 437//413
3256 | f 455//407 437//413 471//414
3257 | f 488//408 455//407 471//414
3258 | f 488//408 471//414 502//415
3259 | f 519//409 488//408 502//415
3260 | f 519//409 502//415 533//416
3261 | f 549//410 519//409 533//416
3262 | f 549//410 533//416 562//417
3263 | f 578//411 549//410 562//417
3264 | f 578//411 562//417 589//418
3265 | f 437//413 404//412 419//419
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4221 | f 890//891 914//890 912//895
4222 | f 890//891 912//895 886//896
4223 | f 885//892 890//891 886//896
4224 | f 885//892 886//896 860//897
4225 | f 859//893 885//892 860//897
4226 | f 859//893 860//897 832//898
4227 | f 833//665 859//893 832//898
4228 | f 833//665 832//898 805//659
4229 | f 919//894 918//784 916//899
4230 | f 912//895 919//894 916//899
4231 | f 912//895 916//899 891//900
4232 | f 886//896 912//895 891//900
4233 | f 886//896 891//900 865//901
4234 | f 860//897 886//896 865//901
4235 | f 860//897 865//901 839//902
4236 | f 832//898 860//897 839//902
4237 | f 832//898 839//902 812//903
4238 | f 805//659 832//898 812//903
4239 | f 805//659 812//903 785//653
4240 | f 916//899 918//784 917//783
4241 | f 891//900 916//899 917//783
4242 | f 891//900 917//783 892//786
4243 | f 865//901 891//900 892//786
4244 | f 865//901 892//786 866//788
4245 | f 839//902 865//901 866//788
4246 | f 839//902 866//788 840//790
4247 | f 812//903 839//902 840//790
4248 | f 812//903 840//790 813//792
4249 | f 785//653 812//903 813//792
4250 | f 785//653 813//792 786//652
4251 | f 404//412 1267//904 1268//905
4252 | f 384//906 373//907 372//480
4253 | f 346//908 345//501 352//494
4254 | f 435//909 436//426 419//419
4255 | f 331//910 327//350 335//508
4256 | f 462//439 453//433 1265//911
4257 | f 920//912 921//913 922//914
4258 | f 920//912 922//914 923//915
4259 | f 923//915 922//914 927//916
4260 | f 923//915 927//916 933//917
4261 | f 933//917 927//916 940//918
4262 | f 933//917 940//918 949//919
4263 | f 949//919 940//918 959//920
4264 | f 949//919 959//920 971//921
4265 | f 971//921 959//920 984//922
4266 | f 971//921 984//922 999//923
4267 | f 999//923 984//922 1011//924
4268 | f 999//923 1011//924 1027//925
4269 | f 1027//925 1011//924 1042//926
4270 | f 1027//925 1042//926 1059//927
4271 | f 1059//927 1042//926 1077//928
4272 | f 1059//927 1077//928 1095//929
4273 | f 1095//929 1077//928 1110//930
4274 | f 1095//929 1110//930 1129//931
4275 | f 1129//931 1110//930 1144//932
4276 | f 1129//931 1144//932 1163//933
4277 | f 1163//933 1144//932 1179//934
4278 | f 1163//933 1179//934 1196//935
4279 | f 1196//935 1179//934 1210//936
4280 | f 1196//935 1210//936 1220//937
4281 | f 1220//937 1210//936 1212//938
4282 | f 1220//937 1212//938 1201//939
4283 | f 1201//939 1212//938 1181//940
4284 | f 1201//939 1181//940 1169//941
4285 | f 1169//941 1181//940 1147//942
4286 | f 1169//941 1147//942 1135//943
4287 | f 1135//943 1147//942 1113//944
4288 | f 1135//943 1113//944 1102//945
4289 | f 1102//945 1113//944 1081//946
4290 | f 1102//945 1081//946 1065//947
4291 | f 1065//947 1081//946 1046//948
4292 | f 1065//947 1046//948 1032//949
4293 | f 1032//949 1046//948 1016//950
4294 | f 1032//949 1016//950 1003//951
4295 | f 1003//951 1016//950 988//952
4296 | f 1003//951 988//952 974//953
4297 | f 974//953 988//952 962//954
4298 | f 974//953 962//954 951//955
4299 | f 951//955 962//954 942//956
4300 | f 951//955 942//956 934//957
4301 | f 934//957 942//956 928//958
4302 | f 934//957 928//958 924//959
4303 | f 924//959 928//958 921//913
4304 | f 921//913 920//912 924//959
4305 | f 926//960 920//912 923//915
4306 | f 926//960 923//915 932//961
4307 | f 938//962 926//960 932//961
4308 | f 938//962 932//961 947//963
4309 | f 956//964 938//962 947//963
4310 | f 956//964 947//963 968//965
4311 | f 980//966 956//964 968//965
4312 | f 980//966 968//965 995//967
4313 | f 1006//968 980//966 995//967
4314 | f 1006//968 995//967 1022//969
4315 | f 1036//970 1006//968 1022//969
4316 | f 1036//970 1022//969 1053//971
4317 | f 932//961 923//915 933//917
4318 | f 932//961 933//917 948//972
4319 | f 947//963 932//961 948//972
4320 | f 947//963 948//972 969//973
4321 | f 968//965 947//963 969//973
4322 | f 968//965 969//973 996//974
4323 | f 995//967 968//965 996//974
4324 | f 995//967 996//974 1023//975
4325 | f 1022//969 995//967 1023//975
4326 | f 1022//969 1023//975 1054//976
4327 | f 1053//971 1022//969 1054//976
4328 | f 1053//971 1054//976 1089//977
4329 | f 948//972 933//917 949//919
4330 | f 948//972 949//919 970//978
4331 | f 969//973 948//972 970//978
4332 | f 969//973 970//978 997//979
4333 | f 996//974 969//973 997//979
4334 | f 996//974 997//979 1024//980
4335 | f 1023//975 996//974 1024//980
4336 | f 1023//975 1024//980 1055//981
4337 | f 1054//976 1023//975 1055//981
4338 | f 1054//976 1055//981 1090//982
4339 | f 1089//977 1054//976 1090//982
4340 | f 1089//977 1090//982 1109//983
4341 | f 970//978 949//919 971//921
4342 | f 970//978 971//921 998//984
4343 | f 997//979 970//978 998//984
4344 | f 997//979 998//984 1025//985
4345 | f 1024//980 997//979 1025//985
4346 | f 1024//980 1025//985 1056//986
4347 | f 1055//981 1024//980 1056//986
4348 | f 1055//981 1056//986 1091//987
4349 | f 1090//982 1055//981 1091//987
4350 | f 1090//982 1091//987 1124//988
4351 | f 1109//983 1090//982 1124//988
4352 | f 1109//983 1124//988 1122//989
4353 | f 998//984 971//921 999//923
4354 | f 998//984 999//923 1026//990
4355 | f 1025//985 998//984 1026//990
4356 | f 1025//985 1026//990 1057//991
4357 | f 1056//986 1025//985 1057//991
4358 | f 1056//986 1057//991 1092//992
4359 | f 1091//987 1056//986 1092//992
4360 | f 1091//987 1092//992 1125//993
4361 | f 1124//988 1091//987 1125//993
4362 | f 1124//988 1125//993 1156//994
4363 | f 1122//989 1124//988 1156//994
4364 | f 1122//989 1156//994 1142//995
4365 | f 1026//990 999//923 1027//925
4366 | f 1026//990 1027//925 1058//996
4367 | f 1057//991 1026//990 1058//996
4368 | f 1057//991 1058//996 1093//997
4369 | f 1092//992 1057//991 1093//997
4370 | f 1092//992 1093//997 1126//998
4371 | f 1125//993 1092//992 1126//998
4372 | f 1125//993 1126//998 1159//999
4373 | f 1156//994 1125//993 1159//999
4374 | f 1156//994 1159//999 1176//1000
4375 | f 1142//995 1156//994 1176//1000
4376 | f 1142//995 1176//1000 1157//1001
4377 | f 1058//996 1027//925 1059//927
4378 | f 1058//996 1059//927 1094//1002
4379 | f 1093//997 1058//996 1094//1002
4380 | f 1093//997 1094//1002 1127//1003
4381 | f 1126//998 1093//997 1127//1003
4382 | f 1126//998 1127//1003 1160//1004
4383 | f 1159//999 1126//998 1160//1004
4384 | f 1159//999 1160//1004 1192//1005
4385 | f 1176//1000 1159//999 1192//1005
4386 | f 1176//1000 1192//1005 1189//1006
4387 | f 1157//1001 1176//1000 1189//1006
4388 | f 1157//1001 1189//1006 1178//1007
4389 | f 1094//1002 1059//927 1095//929
4390 | f 1094//1002 1095//929 1128//1008
4391 | f 1127//1003 1094//1002 1128//1008
4392 | f 1127//1003 1128//1008 1161//1009
4393 | f 1160//1004 1127//1003 1161//1009
4394 | f 1160//1004 1161//1009 1193//1010
4395 | f 1192//1005 1160//1004 1193//1010
4396 | f 1192//1005 1193//1010 1215//1011
4397 | f 1189//1006 1192//1005 1215//1011
4398 | f 1189//1006 1215//1011 1207//1012
4399 | f 1178//1007 1189//1006 1207//1012
4400 | f 1178//1007 1207//1012 1191//1013
4401 | f 1128//1008 1095//929 1129//931
4402 | f 1128//1008 1129//931 1162//1014
4403 | f 1161//1009 1128//1008 1162//1014
4404 | f 1161//1009 1162//1014 1194//1015
4405 | f 1193//1010 1161//1009 1194//1015
4406 | f 1193//1010 1194//1015 1217//1016
4407 | f 1215//1011 1193//1010 1217//1016
4408 | f 1215//1011 1217//1016 1227//1017
4409 | f 1207//1012 1215//1011 1227//1017
4410 | f 1207//1012 1227//1017 1216//1018
4411 | f 1191//1013 1207//1012 1216//1018
4412 | f 1191//1013 1216//1018 1209//1019
4413 | f 1162//1014 1129//931 1163//933
4414 | f 1162//1014 1163//933 1195//1020
4415 | f 1194//1015 1162//1014 1195//1020
4416 | f 1194//1015 1195//1020 1218//1021
4417 | f 1217//1016 1194//1015 1218//1021
4418 | f 1217//1016 1218//1021 1230//1022
4419 | f 1227//1017 1217//1016 1230//1022
4420 | f 1227//1017 1230//1022 1229//1023
4421 | f 1216//1018 1227//1017 1229//1023
4422 | f 1216//1018 1229//1023 1225//1024
4423 | f 1209//1019 1216//1018 1225//1024
4424 | f 1209//1019 1225//1024 1203//1025
4425 | f 1195//1020 1163//933 1196//935
4426 | f 1195//1020 1196//935 1219//1026
4427 | f 1218//1021 1195//1020 1219//1026
4428 | f 1218//1021 1219//1026 1231//1027
4429 | f 1230//1022 1218//1021 1231//1027
4430 | f 1230//1022 1231//1027 1232//1028
4431 | f 1229//1023 1230//1022 1232//1028
4432 | f 1229//1023 1232//1028 1228//1029
4433 | f 1225//1024 1229//1023 1228//1029
4434 | f 1225//1024 1228//1029 1214//1030
4435 | f 1203//1025 1225//1024 1214//1030
4436 | f 1203//1025 1214//1030 1184//1031
4437 | f 1219//1026 1196//935 1220//937
4438 | f 1219//1026 1220//937 1224//1032
4439 | f 1231//1027 1219//1026 1224//1032
4440 | f 1231//1027 1224//1032 1223//1033
4441 | f 1232//1028 1231//1027 1223//1033
4442 | f 1232//1028 1223//1033 1222//1034
4443 | f 1228//1029 1232//1028 1222//1034
4444 | f 1228//1029 1222//1034 1221//1035
4445 | f 1214//1030 1228//1029 1221//1035
4446 | f 1214//1030 1221//1035 1204//1036
4447 | f 1184//1031 1214//1030 1204//1036
4448 | f 1184//1031 1204//1036 1171//1037
4449 | f 1224//1032 1220//937 1201//939
4450 | f 1224//1032 1201//939 1200//1038
4451 | f 1223//1033 1224//1032 1200//1038
4452 | f 1223//1033 1200//1038 1199//1039
4453 | f 1222//1034 1223//1033 1199//1039
4454 | f 1222//1034 1199//1039 1198//1040
4455 | f 1221//1035 1222//1034 1198//1040
4456 | f 1221//1035 1198//1040 1197//1041
4457 | f 1204//1036 1221//1035 1197//1041
4458 | f 1204//1036 1197//1041 1185//1042
4459 | f 1171//1037 1204//1036 1185//1042
4460 | f 1171//1037 1185//1042 1151//1043
4461 | f 1200//1038 1201//939 1169//941
4462 | f 1200//1038 1169//941 1168//1044
4463 | f 1199//1039 1200//1038 1168//1044
4464 | f 1199//1039 1168//1044 1167//1045
4465 | f 1198//1040 1199//1039 1167//1045
4466 | f 1198//1040 1167//1045 1166//1046
4467 | f 1197//1041 1198//1040 1166//1046
4468 | f 1197//1041 1166//1046 1165//1047
4469 | f 1185//1042 1197//1041 1165//1047
4470 | f 1185//1042 1165//1047 1164//1048
4471 | f 1151//1043 1185//1042 1164//1048
4472 | f 1151//1043 1164//1048 1137//1049
4473 | f 1168//1044 1169//941 1135//943
4474 | f 1168//1044 1135//943 1134//1050
4475 | f 1167//1045 1168//1044 1134//1050
4476 | f 1167//1045 1134//1050 1133//1051
4477 | f 1166//1046 1167//1045 1133//1051
4478 | f 1166//1046 1133//1051 1132//1052
4479 | f 1165//1047 1166//1046 1132//1052
4480 | f 1165//1047 1132//1052 1131//1053
4481 | f 1164//1048 1165//1047 1131//1053
4482 | f 1164//1048 1131//1053 1130//1054
4483 | f 1137//1049 1164//1048 1130//1054
4484 | f 1137//1049 1130//1054 1117//1055
4485 | f 1134//1050 1135//943 1102//945
4486 | f 1134//1050 1102//945 1101//1056
4487 | f 1133//1051 1134//1050 1101//1056
4488 | f 1133//1051 1101//1056 1100//1057
4489 | f 1132//1052 1133//1051 1100//1057
4490 | f 1132//1052 1100//1057 1099//1058
4491 | f 1131//1053 1132//1052 1099//1058
4492 | f 1131//1053 1099//1058 1098//1059
4493 | f 1130//1054 1131//1053 1098//1059
4494 | f 1130//1054 1098//1059 1097//1060
4495 | f 1117//1055 1130//1054 1097//1060
4496 | f 1117//1055 1097//1060 1096//1061
4497 | f 1101//1056 1102//945 1065//947
4498 | f 1101//1056 1065//947 1064//1062
4499 | f 1100//1057 1101//1056 1064//1062
4500 | f 1100//1057 1064//1062 1063//1063
4501 | f 1099//1058 1100//1057 1063//1063
4502 | f 1099//1058 1063//1063 1062//1064
4503 | f 1098//1059 1099//1058 1062//1064
4504 | f 1098//1059 1062//1064 1061//1065
4505 | f 1097//1060 1098//1059 1061//1065
4506 | f 1097//1060 1061//1065 1060//1066
4507 | f 1096//1061 1097//1060 1060//1066
4508 | f 1096//1061 1060//1066 1066//1067
4509 | f 1064//1062 1065//947 1032//949
4510 | f 1064//1062 1032//949 1031//1068
4511 | f 1063//1063 1064//1062 1031//1068
4512 | f 1063//1063 1031//1068 1030//1069
4513 | f 1062//1064 1063//1063 1030//1069
4514 | f 1062//1064 1030//1069 1029//1070
4515 | f 1061//1065 1062//1064 1029//1070
4516 | f 1061//1065 1029//1070 1028//1071
4517 | f 1060//1066 1061//1065 1028//1071
4518 | f 1060//1066 1028//1071 1033//1072
4519 | f 1066//1067 1060//1066 1033//1072
4520 | f 1066//1067 1033//1072 1050//1073
4521 | f 1031//1068 1032//949 1003//951
4522 | f 1031//1068 1003//951 1002//1074
4523 | f 1030//1069 1031//1068 1002//1074
4524 | f 1030//1069 1002//1074 1001//1075
4525 | f 1029//1070 1030//1069 1001//1075
4526 | f 1029//1070 1001//1075 1000//1076
4527 | f 1028//1071 1029//1070 1000//1076
4528 | f 1028//1071 1000//1076 1004//1077
4529 | f 1033//1072 1028//1071 1004//1077
4530 | f 1033//1072 1004//1077 1021//1078
4531 | f 1050//1073 1033//1072 1021//1078
4532 | f 1050//1073 1021//1078 1041//1079
4533 | f 1002//1074 1003//951 974//953
4534 | f 1002//1074 974//953 973//1080
4535 | f 1001//1075 1002//1074 973//1080
4536 | f 1001//1075 973//1080 972//1081
4537 | f 1000//1076 1001//1075 972//1081
4538 | f 1000//1076 972//1081 975//1082
4539 | f 1004//1077 1000//1076 975//1082
4540 | f 1004//1077 975//1082 992//1083
4541 | f 1021//1078 1004//1077 992//1083
4542 | f 1021//1078 992//1083 1010//1084
4543 | f 1041//1079 1021//1078 1010//1084
4544 | f 1041//1079 1010//1084 1040//1085
4545 | f 973//1080 974//953 951//955
4546 | f 973//1080 951//955 950//1086
4547 | f 972//1081 973//1080 950//1086
4548 | f 972//1081 950//1086 952//1087
4549 | f 975//1082 972//1081 952//1087
4550 | f 975//1082 952//1087 965//1088
4551 | f 992//1083 975//1082 965//1088
4552 | f 992//1083 965//1088 983//1089
4553 | f 1010//1084 992//1083 983//1089
4554 | f 1010//1084 983//1089 1009//1090
4555 | f 1040//1085 1010//1084 1009//1090
4556 | f 1040//1085 1009//1090 1039//1091
4557 | f 950//1086 951//955 934//957
4558 | f 950//1086 934//957 935//1092
4559 | f 952//1087 950//1086 935//1092
4560 | f 952//1087 935//1092 944//1093
4561 | f 965//1088 952//1087 944//1093
4562 | f 965//1088 944//1093 958//1094
4563 | f 983//1089 965//1088 958//1094
4564 | f 983//1089 958//1094 982//1095
4565 | f 1009//1090 983//1089 982//1095
4566 | f 1009//1090 982//1095 1008//1096
4567 | f 1039//1091 1009//1090 1008//1096
4568 | f 1039//1091 1008//1096 1038//1097
4569 | f 935//1092 934//957 924//959
4570 | f 935//1092 924//959 929//1098
4571 | f 944//1093 935//1092 929//1098
4572 | f 944//1093 929//1098 939//1099
4573 | f 958//1094 944//1093 939//1099
4574 | f 958//1094 939//1099 957//1100
4575 | f 982//1095 958//1094 957//1100
4576 | f 982//1095 957//1100 981//1101
4577 | f 1008//1096 982//1095 981//1101
4578 | f 1008//1096 981//1101 1007//1102
4579 | f 1038//1097 1008//1096 1007//1102
4580 | f 1038//1097 1007//1102 1037//1103
4581 | f 924//959 920//912 929//1098
4582 | f 929//1098 920//912 926//960
4583 | f 939//1099 929//1098 926//960
4584 | f 939//1099 926//960 938//962
4585 | f 957//1100 939//1099 938//962
4586 | f 957//1100 938//962 956//964
4587 | f 981//1101 957//1100 956//964
4588 | f 981//1101 956//964 980//966
4589 | f 1007//1102 981//1101 980//966
4590 | f 1007//1102 980//966 1006//968
4591 | f 1037//1103 1007//1102 1006//968
4592 | f 1037//1103 1006//968 1036//970
4593 | f 993//1104 1005//1105 976//1106
4594 | f 966//1107 993//1104 976//1106
4595 | f 966//1107 976//1106 953//1108
4596 | f 945//1109 966//1107 953//1108
4597 | f 945//1109 953//1108 936//1110
4598 | f 930//1111 945//1109 936//1110
4599 | f 930//1111 936//1110 925//1112
4600 | f 921//913 930//1111 925//1112
4601 | f 921//913 925//1112 922//914
4602 | f 976//1106 1005//1105 977//1113
4603 | f 953//1108 976//1106 977//1113
4604 | f 953//1108 977//1113 954//1114
4605 | f 936//1110 953//1108 954//1114
4606 | f 936//1110 954//1114 937//1115
4607 | f 925//1112 936//1110 937//1115
4608 | f 925//1112 937//1115 931//1116
4609 | f 922//914 925//1112 931//1116
4610 | f 922//914 931//1116 927//916
4611 | f 977//1113 1005//1105 978//1117
4612 | f 954//1114 977//1113 978//1117
4613 | f 954//1114 978//1117 955//1118
4614 | f 937//1115 954//1114 955//1118
4615 | f 937//1115 955//1118 946//1119
4616 | f 931//1116 937//1115 946//1119
4617 | f 931//1116 946//1119 941//1120
4618 | f 927//916 931//1116 941//1120
4619 | f 927//916 941//1120 940//918
4620 | f 978//1117 1005//1105 979//1121
4621 | f 955//1118 978//1117 979//1121
4622 | f 955//1118 979//1121 967//1122
4623 | f 946//1119 955//1118 967//1122
4624 | f 946//1119 967//1122 961//1123
4625 | f 941//1120 946//1119 961//1123
4626 | f 941//1120 961//1123 960//1124
4627 | f 940//918 941//1120 960//1124
4628 | f 940//918 960//1124 959//920
4629 | f 979//1121 1005//1105 994//1125
4630 | f 967//1122 979//1121 994//1125
4631 | f 967//1122 994//1125 987//1126
4632 | f 961//1123 967//1122 987//1126
4633 | f 961//1123 987//1126 986//1127
4634 | f 960//1124 961//1123 986//1127
4635 | f 960//1124 986//1127 985//1128
4636 | f 959//920 960//1124 985//1128
4637 | f 959//920 985//1128 984//922
4638 | f 994//1125 1005//1105 1015//1129
4639 | f 987//1126 994//1125 1015//1129
4640 | f 987//1126 1015//1129 1014//1130
4641 | f 986//1127 987//1126 1014//1130
4642 | f 986//1127 1014//1130 1013//1131
4643 | f 985//1128 986//1127 1013//1131
4644 | f 985//1128 1013//1131 1012//1132
4645 | f 984//922 985//1128 1012//1132
4646 | f 984//922 1012//1132 1011//924
4647 | f 1015//1129 1005//1105 1035//1133
4648 | f 1014//1130 1015//1129 1035//1133
4649 | f 1014//1130 1035//1133 1045//1134
4650 | f 1013//1131 1014//1130 1045//1134
4651 | f 1013//1131 1045//1134 1044//1135
4652 | f 1012//1132 1013//1131 1044//1135
4653 | f 1012//1132 1044//1135 1043//1136
4654 | f 1011//924 1012//1132 1043//1136
4655 | f 1011//924 1043//1136 1042//926
4656 | f 1035//1133 1005//1105 1052//1137
4657 | f 1045//1134 1035//1133 1052//1137
4658 | f 1045//1134 1052//1137 1080//1138
4659 | f 1044//1135 1045//1134 1080//1138
4660 | f 1044//1135 1080//1138 1079//1139
4661 | f 1043//1136 1044//1135 1079//1139
4662 | f 1043//1136 1079//1139 1078//1140
4663 | f 1042//926 1043//1136 1078//1140
4664 | f 1042//926 1078//1140 1077//928
4665 | f 1052//1137 1005//1105 1068//1141
4666 | f 1080//1138 1052//1137 1068//1141
4667 | f 1080//1138 1068//1141 1106//1142
4668 | f 1079//1139 1080//1138 1106//1142
4669 | f 1079//1139 1106//1142 1112//1143
4670 | f 1078//1140 1079//1139 1112//1143
4671 | f 1078//1140 1112//1143 1111//1144
4672 | f 1077//928 1078//1140 1111//1144
4673 | f 1077//928 1111//1144 1110//930
4674 | f 1068//1141 1005//1105 1087//1145
4675 | f 1106//1142 1068//1141 1087//1145
4676 | f 1106//1142 1087//1145 1120//1146
4677 | f 1112//1143 1106//1142 1120//1146
4678 | f 1112//1143 1120//1146 1146//1147
4679 | f 1111//1144 1112//1143 1146//1147
4680 | f 1111//1144 1146//1147 1145//1148
4681 | f 1110//930 1111//1144 1145//1148
4682 | f 1110//930 1145//1148 1144//932
4683 | f 1087//1145 1005//1105 1107//1149
4684 | f 1120//1146 1087//1145 1107//1149
4685 | f 1120//1146 1107//1149 1140//1150
4686 | f 1146//1147 1120//1146 1140//1150
4687 | f 1146//1147 1140//1150 1174//1151
4688 | f 1145//1148 1146//1147 1174//1151
4689 | f 1145//1148 1174//1151 1180//1152
4690 | f 1144//932 1145//1148 1180//1152
4691 | f 1144//932 1180//1152 1179//934
4692 | f 1107//1149 1005//1105 1121//1153
4693 | f 1140//1150 1107//1149 1121//1153
4694 | f 1140//1150 1121//1153 1154//1154
4695 | f 1174//1151 1140//1150 1154//1154
4696 | f 1174//1151 1154//1154 1188//1155
4697 | f 1180//1152 1174//1151 1188//1155
4698 | f 1180//1152 1188//1155 1211//1156
4699 | f 1179//934 1180//1152 1211//1156
4700 | f 1179//934 1211//1156 1210//936
4701 | f 1121//1153 1005//1105 1141//1157
4702 | f 1154//1154 1121//1153 1141//1157
4703 | f 1154//1154 1141//1157 1175//1158
4704 | f 1188//1155 1154//1154 1175//1158
4705 | f 1188//1155 1175//1158 1206//1159
4706 | f 1211//1156 1188//1155 1206//1159
4707 | f 1211//1156 1206//1159 1226//1160
4708 | f 1210//936 1211//1156 1226//1160
4709 | f 1210//936 1226//1160 1212//938
4710 | f 1141//1157 1005//1105 1155//1161
4711 | f 1175//1158 1141//1157 1155//1161
4712 | f 1175//1158 1155//1161 1187//1162
4713 | f 1206//1159 1175//1158 1187//1162
4714 | f 1206//1159 1187//1162 1205//1163
4715 | f 1226//1160 1206//1159 1205//1163
4716 | f 1226//1160 1205//1163 1213//1164
4717 | f 1212//938 1226//1160 1213//1164
4718 | f 1212//938 1213//1164 1181//940
4719 | f 1155//1161 1005//1105 1153//1165
4720 | f 1187//1162 1155//1161 1153//1165
4721 | f 1187//1162 1153//1165 1173//1166
4722 | f 1205//1163 1187//1162 1173//1166
4723 | f 1205//1163 1173//1166 1186//1167
4724 | f 1213//1164 1205//1163 1186//1167
4725 | f 1213//1164 1186//1167 1182//1168
4726 | f 1181//940 1213//1164 1182//1168
4727 | f 1181//940 1182//1168 1147//942
4728 | f 1153//1165 1005//1105 1139//1169
4729 | f 1173//1166 1153//1165 1139//1169
4730 | f 1173//1166 1139//1169 1152//1170
4731 | f 1186//1167 1173//1166 1152//1170
4732 | f 1186//1167 1152//1170 1172//1171
4733 | f 1182//1168 1186//1167 1172//1171
4734 | f 1182//1168 1172//1171 1148//1172
4735 | f 1147//942 1182//1168 1148//1172
4736 | f 1147//942 1148//1172 1113//944
4737 | f 1139//1169 1005//1105 1119//1173
4738 | f 1152//1170 1139//1169 1119//1173
4739 | f 1152//1170 1119//1173 1138//1174
4740 | f 1172//1171 1152//1170 1138//1174
4741 | f 1172//1171 1138//1174 1149//1175
4742 | f 1148//1172 1172//1171 1149//1175
4743 | f 1148//1172 1149//1175 1114//1176
4744 | f 1113//944 1148//1172 1114//1176
4745 | f 1113//944 1114//1176 1081//946
4746 | f 1119//1173 1005//1105 1105//1177
4747 | f 1138//1174 1119//1173 1105//1177
4748 | f 1138//1174 1105//1177 1118//1178
4749 | f 1149//1175 1138//1174 1118//1178
4750 | f 1149//1175 1118//1178 1115//1179
4751 | f 1114//1176 1149//1175 1115//1179
4752 | f 1114//1176 1115//1179 1082//1180
4753 | f 1081//946 1114//1176 1082//1180
4754 | f 1081//946 1082//1180 1046//948
4755 | f 1105//1177 1005//1105 1086//1181
4756 | f 1118//1178 1105//1177 1086//1181
4757 | f 1118//1178 1086//1181 1104//1182
4758 | f 1115//1179 1118//1178 1104//1182
4759 | f 1115//1179 1104//1182 1083//1183
4760 | f 1082//1180 1115//1179 1083//1183
4761 | f 1082//1180 1083//1183 1047//1184
4762 | f 1046//948 1082//1180 1047//1184
4763 | f 1046//948 1047//1184 1016//950
4764 | f 1086//1181 1005//1105 1067//1185
4765 | f 1104//1182 1086//1181 1067//1185
4766 | f 1104//1182 1067//1185 1084//1186
4767 | f 1083//1183 1104//1182 1084//1186
4768 | f 1083//1183 1084//1186 1048//1187
4769 | f 1047//1184 1083//1183 1048//1187
4770 | f 1047//1184 1048//1187 1017//1188
4771 | f 1016//950 1047//1184 1017//1188
4772 | f 1016//950 1017//1188 988//952
4773 | f 1067//1185 1005//1105 1051//1189
4774 | f 1084//1186 1067//1185 1051//1189
4775 | f 1084//1186 1051//1189 1049//1190
4776 | f 1048//1187 1084//1186 1049//1190
4777 | f 1048//1187 1049//1190 1018//1191
4778 | f 1017//1188 1048//1187 1018//1191
4779 | f 1017//1188 1018//1191 989//1192
4780 | f 988//952 1017//1188 989//1192
4781 | f 988//952 989//1192 962//954
4782 | f 1051//1189 1005//1105 1034//1193
4783 | f 1049//1190 1051//1189 1034//1193
4784 | f 1049//1190 1034//1193 1019//1194
4785 | f 1018//1191 1049//1190 1019//1194
4786 | f 1018//1191 1019//1194 990//1195
4787 | f 989//1192 1018//1191 990//1195
4788 | f 989//1192 990//1195 963//1196
4789 | f 962//954 989//1192 963//1196
4790 | f 962//954 963//1196 942//956
4791 | f 1034//1193 1005//1105 1020//1197
4792 | f 1019//1194 1034//1193 1020//1197
4793 | f 1019//1194 1020//1197 991//1198
4794 | f 990//1195 1019//1194 991//1198
4795 | f 990//1195 991//1198 964//1199
4796 | f 963//1196 990//1195 964//1199
4797 | f 963//1196 964//1199 943//1200
4798 | f 942//956 963//1196 943//1200
4799 | f 942//956 943//1200 928//958
4800 | f 1020//1197 1005//1105 993//1104
4801 | f 991//1198 1020//1197 993//1104
4802 | f 991//1198 993//1104 966//1107
4803 | f 964//1199 991//1198 966//1107
4804 | f 964//1199 966//1107 945//1109
4805 | f 943//1200 964//1199 945//1109
4806 | f 943//1200 945//1109 930//1111
4807 | f 928//958 943//1200 930//1111
4808 | f 928//958 930//1111 921//913
4809 | f 1151//1043 1137//1049 1150//1201
4810 | f 1142//995 1143//1202 1122//989
4811 | f 1053//971 1089//977 1069//1203
4812 | f 1122//989 1123//1204 1109//983
4813 | f 1096//1061 1103//1205 1117//1055
4814 | f 1171//1037 1170//1206 1184//1031
4815 | f 1191//1013 1209//1019 1190//1207
4816 | f 1036//970 1053//971 1070//1208
4817 | f 1036//970 1070//1208 1037//1103
4818 | f 1203//1025 1202//1209 1209//1019
4819 | f 1066//1067 1085//1210 1096//1061
4820 | f 1050//1073 1076//1211 1066//1067
4821 | f 1184//1031 1183//1212 1203//1025
4822 | f 1041//1079 1040//1085 1075//1213
4823 | f 1171//1037 1151//1043 1170//1206
4824 | f 1157//1001 1158//1214 1142//995
4825 | f 1137//1049 1117//1055 1136//1215
4826 | f 1038//1097 1072//1216 1039//1091
4827 | f 1178//1007 1191//1013 1177//1217
4828 | f 1089//977 1109//983 1088//1218
4829 | f 1037//1103 1071//1219 1038//1097
4830 | f 1050//1073 1041//1079 1076//1211
4831 | f 1157//1001 1178//1007 1158//1214
4832 | f 1040//1085 1039//1091 1074//1220
4833 | f 1170//1206 1150//1201 452//1221
4834 | f 1264//1222 1071//1219 1263//1223
4835 | f 1261//1224 1262//1225 1076//1211
4836 | f 1085//1210 1076//1211 1262//1225
4837 | f 1190//1207 1208//1226 405//1227
4838 | f 509//176 526//519 1260//1228
4839 | f 1260//1228 526//519 556//523
4840 | f 167//201 556//523 595//202
4841 | f 595//202 621//526 1255//200
4842 | f 172//192 163//182 1254//199
4843 | f 8//49 18//42 3//1229
4844 | f 3//1229 18//42 1288//1230
4845 | f 15//75 7//66 1240//82
4846 | f 1250//50 8//49 3//1229
4847 | f 1//32 1283//40 566//33
4848 | f 593//3 566//33 9//41
4849 | f 19//1231 20//34 33//25
4850 | f 1243//2 636//89 593//3
4851 | f 64//18 40//6 36//17
4852 | f 1244//24 64//18 36//17
4853 | f 641//579 614//582 1237//1232
4854 | f 1250//50 1239//1233 4//48
4855 | f 7//66 4//48 1239//1233
4856 | f 5//74 14//73 11//81
4857 | f 1240//82 7//66 1239//1233
4858 | f 1//32 553//31 565//56
4859 | f 593//3 9//41 1289//83
4860 | f 18//42 20//34 1288//1230
4861 | f 40//6 27//5 1252//16
4862 | f 1249//58 6//65 565//56
4863 | f 14//73 15//75 11//81
4864 | f 592//57 1234//130 1233//58
4865 | f 1237//1232 614//582 588//586
4866 | f 1237//1232 588//586 605//592
4867 | f 539//175 159//177 1259//1234
4868 | f 164//257 1257//1235 168//251
4869 | f 509//176 1256//1236 159//177
4870 | f 1258//250 585//249 1259//1234
4871 | f 169//1237 164//257 174//242
4872 | f 191//236 208//230 185//1238
4873 | f 1290//1239 207//229 640//777
4874 | f 621//526 1292//1240 1255//200
4875 | f 163//182 160//178 157//180
4876 | f 1284//1241 1292//1240 648//227
4877 | f 1252//16 27//5 12//95
4878 | f 119//124 116//129 104//161
4879 | f 116//129 88//135 1242//136
4880 | f 87//159 666//713 715//160
4881 | f 87//159 1241//1242 666//713
4882 | f 1253//1243 47//150 631//152
4883 | f 631//152 666//713 1253//1243
4884 | f 86//142 74//144 60//143
4885 | f 640//777 1291//1244 1290//1239
4886 | f 1291//1244 640//777 613//248
4887 | f 208//230 219//220 200//1245
4888 | f 665//778 640//777 207//229
4889 | f 1285//226 200//1245 219//220
4890 | f 648//227 207//229 1284//1241
4891 | f 691//228 665//778 207//229
4892 | f 605//592 1236//1246 1245//1246
4893 | f 1235//151 605//592 631//152
4894 | f 1248//145 48//153 37//167
4895 | f 667//708 1251//1247 1247//158
4896 | f 605//592 1235//151 1236//1246
4897 | f 641//579 1238//1248 1246//1249
4898 | f 641//579 1237//1232 1238//1248
4899 | f 404//412 391//405 1267//904
4900 | f 1265//911 453//433 436//426
4901 | f 328//351 327//350 331//910
4902 | f 443//445 462//439 469//1250
4903 | f 342//370 1275//1251 344//1252
4904 | f 342//370 334//363 1275//1251
4905 | f 372//480 385//473 384//906
4906 | f 351//377 1271//1253 361//384
4907 | f 351//377 350//1254 1271//1253
4908 | f 337//1255 335//508 345//501
4909 | f 384//906 385//473 396//466
4910 | f 361//384 368//1256 369//391
4911 | f 361//384 1271//1253 368//1256
4912 | f 352//494 1276//1257 346//908
4913 | f 397//1258 396//466 411//459
4914 | f 342//370 350//1254 351//377
4915 | f 342//370 344//1252 350//1254
4916 | f 380//398 369//391 368//1256
4917 | f 334//363 328//351 332//1259
4918 | f 404//412 418//1260 419//419
4919 | f 404//412 1268//905 418//1260
4920 | f 426//452 1286//1261 1282//1262
4921 | f 1282//1262 411//459 426//452
4922 | f 352//494 362//487 1277//1263
4923 | f 1277//1263 1276//1257 352//494
4924 | f 391//405 380//398 381//1264
4925 | f 426//452 443//445 444//1265
4926 | f 444//1265 1286//1261 426//452
4927 | f 362//487 372//480 373//907
4928 | f 373//907 1277//1263 362//487
4929 | f 1202//1209 1183//1212 1270//1266
4930 | f 1116//1267 428//1268 1136//1215
4931 | f 428//1268 1287//1269 1136//1215
4932 | f 1073//1270 353//1271 1074//1220
4933 | f 353//1271 363//1272 1074//1220
4934 | f 353//1271 1073//1270 1279//1273
4935 | f 1070//1208 1069//1203 1263//1223
4936 | f 1274//1274 1069//1203 1088//1218
4937 | f 1177//1217 1273//1275 1272//1276
4938 | f 1272//1276 1158//1214 1177//1217
4939 | f 428//1268 1116//1267 427//1277
4940 | f 1088//1218 1108//1278 343//1279
4941 | f 1103//1205 1085//1210 1278//1280
4942 | f 1108//1278 1123//1204 1280//1281
4943 | f 1123//1204 1281//1282 1280//1281
4944 | f 1143//1202 1158//1214 360//1283
4945 | f 1158//1214 1272//1276 360//1283
4946 | f 1075//1213 1261//1224 1076//1211
4947 | f 1085//1210 1262//1225 1278//1280
4948 | f 1123//1204 1143//1202 1281//1282
4949 | f 1143//1202 360//1283 1281//1282
4950 | f 1074//1220 363//1272 1075//1213
4951 | f 363//1272 1261//1224 1075//1213
4952 | f 1270//1266 1183//1212 452//1221
4953 | f 1266//1284 1150//1201 1136//1215
4954 | f 1273//1275 1177//1217 1190//1207
4955 | f 1208//1226 1202//1209 406//1285
4956 | f 1202//1209 1269//1286 406//1285
4957 | f 1072//1216 1071//1219 1264//1222
4958 | f 1241//1242 1253//1243 666//713
4959 | f 71//137 86//142 60//143
4960 | f 88//135 86//142 71//137
4961 | f 1245//1246 1237//1232 605//592
4962 | f 119//124 104//161 90//119
4963 | f 667//708 1246//1249 1251//1247
4964 | f 621//526 648//227 1292//1240
4965 | f 208//230 200//1245 185//1238
4966 | f 174//242 191//236 169//1237
4967 | f 1258//250 1291//1244 613//248
4968 | f 1244//24 19//1231 33//25
4969 | f 1288//1230 20//34 19//1231
4970 | f 199//208 182//198 178//1287
4971 | f 206//1288 218//214 190//1289
4972 | f 1260//1228 556//523 167//201
4973 | f 157//180 1254//199 163//182
4974 | f 178//1287 182//198 1254//199
4975 | f 218//214 206//1288 1285//226
4976 | f 161//258 1257//1235 158//179
4977 | f 324//345 312//274 323//336
4978 | f 303//317 302//323 316//338
4979 | f 305//305 304//311 318//340
4980 | f 304//311 303//317 317//339
4981 | f 322//347 309//281 321//341
4982 | f 320//346 307//293 319//342
4983 | f 301//329 311//335 314//344
4984 | f 302//323 301//329 315//337
4985 | f 311//335 312//274 313//343
4986 | f 319//342 306//299 318//340
4987 | f 321//341 308//287 320//346
4988 | f 323//336 310//275 322//347
4989 | f 418//1260 435//909 419//419
4990 | f 337//1255 331//910 335//508
4991 | f 469//1250 462//439 1265//911
4992 | f 1137//1049 1136//1215 1150//1201
4993 | f 1143//1202 1123//1204 1122//989
4994 | f 1089//977 1088//1218 1069//1203
4995 | f 1123//1204 1108//1278 1109//983
4996 | f 1103//1205 1116//1267 1117//1055
4997 | f 1170//1206 1183//1212 1184//1031
4998 | f 1209//1019 1208//1226 1190//1207
4999 | f 1053//971 1069//1203 1070//1208
5000 | f 1070//1208 1071//1219 1037//1103
5001 | f 1202//1209 1208//1226 1209//1019
5002 | f 1085//1210 1103//1205 1096//1061
5003 | f 1076//1211 1085//1210 1066//1067
5004 | f 1183//1212 1202//1209 1203//1025
5005 | f 1040//1085 1074//1220 1075//1213
5006 | f 1151//1043 1150//1201 1170//1206
5007 | f 1158//1214 1143//1202 1142//995
5008 | f 1117//1055 1116//1267 1136//1215
5009 | f 1072//1216 1073//1270 1039//1091
5010 | f 1191//1013 1190//1207 1177//1217
5011 | f 1109//983 1108//1278 1088//1218
5012 | f 1071//1219 1072//1216 1038//1097
5013 | f 1041//1079 1075//1213 1076//1211
5014 | f 1178//1007 1177//1217 1158//1214
5015 | f 1039//1091 1073//1270 1074//1220
5016 | f 1150//1201 1266//1284 452//1221
5017 | f 1071//1219 1070//1208 1263//1223
5018 | f 1208//1226 406//1285 405//1227
5019 | f 1256//1236 509//176 1260//1228
5020 | f 1257//1235 161//258 168//251
5021 | f 585//249 539//175 1259//1234
5022 | f 715//160 667//708 1247//158
5023 | f 667//708 641//579 1246//1249
5024 | f 435//909 1265//911 436//426
5025 | f 332//1259 328//351 331//910
5026 | f 444//1265 443//445 469//1250
5027 | f 346//908 337//1255 345//501
5028 | f 397//1258 384//906 396//466
5029 | f 1282//1262 397//1258 411//459
5030 | f 381//1264 380//398 368//1256
5031 | f 1275//1251 334//363 332//1259
5032 | f 1267//904 391//405 381//1264
5033 | f 1269//1286 1202//1209 1270//1266
5034 | f 1073//1270 1072//1216 1279//1273
5035 | f 1069//1203 1274//1274 1263//1223
5036 | f 343//1279 1274//1274 1088//1218
5037 | f 1116//1267 1103//1205 427//1277
5038 | f 1108//1278 1280//1281 343//1279
5039 | f 427//1277 1103//1205 1278//1280
5040 | f 1183//1212 1170//1206 452//1221
5041 | f 1287//1269 1266//1284 1136//1215
5042 | f 405//1227 1273//1275 1190//1207
5043 | f 1279//1273 1072//1216 1264//1222
5044 | f 191//236 185//1238 169//1237
5045 | f 190//1289 199//208 178//1287
5046 | f 218//214 199//208 190//1289
5047 |
--------------------------------------------------------------------------------
/example1.py:
--------------------------------------------------------------------------------
1 | import tensorflow as tf
2 | import tf_neuralrenderer
3 |
4 | import numpy as np
5 | import scipy.misc
6 | import tqdm
7 | import neural_renderer
8 |
9 | import argparse
10 | import glob
11 | import os
12 | import subprocess
13 |
14 | os.environ["CUDA_VISIBLE_DEVICES"] = '1'
15 | gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=0.6)
16 | working_directory = os.path.dirname('result/')
17 |
18 | with tf.Session('', config=tf.ConfigProto(gpu_options=gpu_options)) as sess:
19 | # with tf.device('/cpu:0'):
20 |
21 | # Official Test1: test render with mask
22 | vertices, faces = neural_renderer.load_obj('./data/teapot.obj')
23 |
24 | renderer = neural_renderer.Renderer()
25 | nmr = tf_neuralrenderer.NMR(renderer)
26 |
27 | verts = tf.constant(np.expand_dims(vertices, axis=0))
28 | tris = tf.constant(np.expand_dims(faces, axis=0))
29 |
30 | # other settings
31 | camera_distance = 2.732
32 | elevation = 30
33 | texture_size = 2
34 | textures = np.ones((1, faces.shape[0], texture_size, texture_size, texture_size, 3), 'float32')
35 | print (verts.shape, tris.shape)
36 | print(np.asarray([1, vertices.shape[0]], dtype=np.int), np.asarray([[faces.shape[0]]], dtype=np.int))
37 | img = nmr.neural_renderer_texture(verts, np.asarray([[ vertices.shape[0]]], dtype=np.int),
38 | tris, np.asarray([[faces.shape[0]]], dtype=np.int),
39 | textures, 'render')
40 |
41 | loop = tqdm.tqdm(range(0, 360, 4))
42 | for num, azimuth in enumerate(loop):
43 | loop.set_description('Drawing')
44 | nmr.renderer.eye = neural_renderer.get_points_from_angles(camera_distance, elevation, azimuth)
45 | img_val = sess.run([img])
46 | print(img_val[0][0].shape)
47 | # images = nmr.renderer.render(vertices, faces, textures) # [batch_size, RGB, image_size, image_size]
48 | image = img_val[0][0].transpose((1, 2, 0)) # [image_size, image_size, RGB]
49 | scipy.misc.toimage(image, cmin=0, cmax=1).save('%s/_tmp_%04d.png' % (working_directory, num))
50 |
51 | # generate gif (need ImageMagick)
52 | options = '-delay 8 -loop 0 -layers optimize'
53 | subprocess.call('convert %s %s/_tmp_*.png %s' % (options, working_directory, 'result/example1.gif'), shell=True)
54 |
55 | # remove temporary files
56 | for filename in glob.glob('%s/_tmp_*.png' % working_directory):
57 | os.remove(filename)
58 |
--------------------------------------------------------------------------------
/example2.py:
--------------------------------------------------------------------------------
1 | import tensorflow as tf
2 | import tf_neuralrenderer
3 |
4 | import numpy as np
5 | import scipy.misc
6 | import tqdm
7 | import neural_renderer
8 |
9 | import argparse
10 | import glob
11 | import os
12 | import subprocess
13 |
14 | def make_gif(working_directory, filename):
15 | # generate gif (need ImageMagick)
16 | options = '-delay 8 -loop 0 -layers optimize'
17 | subprocess.call('convert %s %s/_tmp_*.png %s' % (options, working_directory, filename), shell=True)
18 | for filename in glob.glob('%s/_tmp_*.png' % working_directory):
19 | os.remove(filename)
20 |
21 | os.environ["CUDA_VISIBLE_DEVICES"] = '1'
22 | gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=0.6)
23 | working_directory = 'result'
24 |
25 | with tf.Session('', config=tf.ConfigProto(gpu_options=gpu_options)) as sess:
26 | # with tf.device('/cpu:0'):
27 |
28 | # Official Test1: test render with mask
29 | vertices, faces = neural_renderer.load_obj('./data/teapot.obj')
30 |
31 | renderer = neural_renderer.Renderer()
32 | nmr = tf_neuralrenderer.NMR(renderer)
33 |
34 | verts = tf.Variable(np.expand_dims(vertices, axis=0))
35 | tris = tf.constant(np.expand_dims(faces, axis=0))
36 |
37 | # other settings
38 | camera_distance = 2.732
39 | elevation = 30
40 | texture_size = 2
41 | textures = np.ones((1, faces.shape[0], texture_size, texture_size, texture_size, 3), 'float32')
42 | print (verts.shape, tris.shape)
43 | print(np.asarray([1, vertices.shape[0]], dtype=np.int), np.asarray([[faces.shape[0]]], dtype=np.int))
44 | img = nmr.neural_renderer_mask(verts, np.asarray([[ vertices.shape[0]]], dtype=np.int),
45 | tris, np.asarray([[faces.shape[0]]], dtype=np.int), 'render')
46 | img_texture = nmr.neural_renderer_texture(verts, np.asarray([[ vertices.shape[0]]], dtype=np.int),
47 | tris, np.asarray([[faces.shape[0]]], dtype=np.int),
48 | textures, 'render_texture')
49 |
50 | image_ref = scipy.misc.imread('data/example2_ref.png').astype('float32').mean(-1) / 255.
51 | image_ref = tf.constant(image_ref)
52 | image_ref = tf.expand_dims(image_ref, axis=0)
53 | loss = tf.nn.l2_loss(img - image_ref)
54 |
55 | print (img.get_shape(), image_ref.get_shape())
56 |
57 | train = tf.train.AdamOptimizer(1e-2).minimize(loss)
58 | sess.run(tf.initialize_all_variables())
59 |
60 | loop = tqdm.tqdm(range(300))
61 | for i in loop:
62 | loop.set_description('Optimizing')
63 | sess.run([train])
64 | img_val = sess.run([img])
65 | scipy.misc.toimage(img_val[0][0], cmin=0, cmax=1).save('%s/_tmp_%04d.png' % (working_directory, i))
66 | make_gif(working_directory, 'result/example2_optimization.gif')
67 |
68 | loop = tqdm.tqdm(range(0, 360, 4))
69 | for num, azimuth in enumerate(loop):
70 | loop.set_description('Drawing')
71 | nmr.renderer.eye = neural_renderer.get_points_from_angles(2.732, 0, azimuth)
72 | img_val = sess.run([img_texture])
73 | print(img_val[0][0].shape)
74 | # images = nmr.renderer.render(vertices, faces, textures) # [batch_size, RGB, image_size, image_size]
75 | image = img_val[0][0].transpose((1, 2, 0)) # [image_size, image_size, RGB]
76 | scipy.misc.toimage(image, cmin=0, cmax=1).save('%s/_tmp_%04d.png' % (working_directory, num))
77 |
78 | # generate gif (need ImageMagick)
79 | options = '-delay 8 -loop 0 -layers optimize'
80 | subprocess.call('convert %s %s/_tmp_*.png %s' % (options, working_directory, 'result/example2.gif'), shell=True)
81 |
82 | # remove temporary files
83 | for filename in glob.glob('%s/_tmp_*.png' % working_directory):
84 | os.remove(filename)
85 |
--------------------------------------------------------------------------------
/example3.py:
--------------------------------------------------------------------------------
1 | import tensorflow as tf
2 | import tf_neuralrenderer
3 |
4 | import numpy as np
5 | import scipy.misc
6 | import tqdm
7 | import neural_renderer
8 |
9 | import argparse
10 | import glob
11 | import os
12 | import subprocess
13 |
14 | def make_gif(working_directory, filename):
15 | # generate gif (need ImageMagick)
16 | options = '-delay 8 -loop 0 -layers optimize'
17 | subprocess.call('convert %s %s/_tmp_*.png %s' % (options, working_directory, filename), shell=True)
18 | for filename in glob.glob('%s/_tmp_*.png' % working_directory):
19 | os.remove(filename)
20 |
21 | os.environ["CUDA_VISIBLE_DEVICES"] = '1'
22 | gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=0.6)
23 | working_directory = 'result'
24 |
25 | with tf.Session('', config=tf.ConfigProto(gpu_options=gpu_options)) as sess:
26 | # with tf.device('/cpu:0'):
27 |
28 | # Official Test1: test render with mask
29 | vertices, faces = neural_renderer.load_obj('./data/teapot.obj')
30 |
31 | renderer = neural_renderer.Renderer()
32 | nmr = tf_neuralrenderer.NMR(renderer)
33 |
34 | verts = tf.constant(np.expand_dims(vertices, axis=0))
35 | tris = tf.constant(np.expand_dims(faces, axis=0))
36 |
37 | # other settings
38 | camera_distance = 2.732
39 | elevation = 30
40 | texture_size = 2
41 | textures = tf.Variable(np.zeros((1, faces.shape[0], texture_size, texture_size, texture_size, 3), 'float32'))
42 | print (verts.shape, tris.shape)
43 | print(np.asarray([1, vertices.shape[0]], dtype=np.int), np.asarray([[faces.shape[0]]], dtype=np.int))
44 | # img = nmr.neural_renderer_mask(verts, np.asarray([[ vertices.shape[0]]], dtype=np.int),
45 | # tris, np.asarray([[faces.shape[0]]], dtype=np.int), 'render')
46 | img_texture = nmr.neural_renderer_texture(verts, np.asarray([[ vertices.shape[0]]], dtype=np.int),
47 | tris, np.asarray([[faces.shape[0]]], dtype=np.int),
48 | textures, 'render_texture')
49 | nmr.renderer.eye = neural_renderer.get_points_from_angles(2.732, 0, np.random.uniform(0, 360))
50 |
51 | image_ref = scipy.misc.imread('data/example3_ref.png').astype('float32') / 255.
52 | image_ref = tf.transpose(tf.constant(image_ref), [2,0,1])
53 | image_ref = tf.expand_dims(image_ref, axis=0)
54 | print (img_texture.shape)
55 | loss = tf.nn.l2_loss(img_texture - image_ref)
56 |
57 | # print (img.get_shape(), image_ref.get_shape())
58 |
59 | train = tf.train.AdamOptimizer(0.1, beta1=0.5).minimize(loss)
60 | sess.run(tf.initialize_all_variables())
61 |
62 | loop = tqdm.tqdm(range(300))
63 | for i in loop:
64 | nmr.renderer.eye = neural_renderer.get_points_from_angles(2.732, 0, np.random.uniform(0, 360))
65 | loop.set_description('Optimizing')
66 | sess.run([train])
67 | img_val = sess.run([img_texture])
68 | scipy.misc.toimage(img_val[0][0], cmin=0, cmax=1).save('%s/_tmp_%04d.png' % (working_directory, i))
69 | make_gif(working_directory, 'result/example3_optimization.gif')
70 |
71 | loop = tqdm.tqdm(range(0, 360, 4))
72 | for num, azimuth in enumerate(loop):
73 | loop.set_description('Drawing')
74 | nmr.renderer.eye = neural_renderer.get_points_from_angles(2.732, 0, azimuth)
75 | img_val = sess.run([img_texture])
76 | print(img_val[0][0].shape)
77 | # images = nmr.renderer.render(vertices, faces, textures) # [batch_size, RGB, image_size, image_size]
78 | image = img_val[0][0].transpose((1, 2, 0)) # [image_size, image_size, RGB]
79 | scipy.misc.toimage(image, cmin=0, cmax=1).save('%s/_tmp_%04d.png' % (working_directory, num))
80 |
81 | # generate gif (need ImageMagick)
82 | options = '-delay 8 -loop 0 -layers optimize'
83 | subprocess.call('convert %s %s/_tmp_*.png %s' % (options, working_directory, 'result/example3.gif'), shell=True)
84 |
85 | # remove temporary files
86 | for filename in glob.glob('%s/_tmp_*.png' % working_directory):
87 | os.remove(filename)
88 |
--------------------------------------------------------------------------------
/example4.py:
--------------------------------------------------------------------------------
1 | import tensorflow as tf
2 | import tf_neuralrenderer
3 |
4 | import numpy as np
5 | import scipy.misc
6 | import tqdm
7 | import neural_renderer
8 |
9 | import argparse
10 | import glob
11 | import os
12 | import subprocess
13 |
14 | def make_gif(working_directory, filename):
15 | # generate gif (need ImageMagick)
16 | options = '-delay 8 -loop 0 -layers optimize'
17 | subprocess.call('convert %s %s/_tmp_*.png %s' % (options, working_directory, filename), shell=True)
18 | for filename in glob.glob('%s/_tmp_*.png' % working_directory):
19 | os.remove(filename)
20 |
21 | os.environ["CUDA_VISIBLE_DEVICES"] = '1'
22 | gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=0.6)
23 | working_directory = 'result'
24 |
25 | with tf.Session('', config=tf.ConfigProto(gpu_options=gpu_options)) as sess:
26 | # with tf.device('/cpu:0'):
27 |
28 | # Official Test1: test render with mask
29 | vertices, faces = neural_renderer.load_obj('./data/teapot.obj')
30 |
31 | renderer = neural_renderer.Renderer()
32 | nmr = tf_neuralrenderer.NMR(renderer)
33 |
34 | verts = tf.constant(np.expand_dims(vertices, axis=0))
35 | tris = tf.constant(np.expand_dims(faces, axis=0))
36 |
37 | # other settings
38 | camera_distance = 2.732
39 | elevation = 30
40 | texture_size = 2
41 | textures = tf.constant(np.ones((1, faces.shape[0], texture_size, texture_size, texture_size, 3), 'float32'))
42 |
43 |
44 | cams = np.array([[1., 0, 0, 1, 0, 0, 0]], dtype=np.float32)
45 | cams = tf.Variable(tf.constant(cams))
46 | verts = tf_neuralrenderer.orthographic_proj_withz(verts, cams, 5.)
47 |
48 | print (verts.shape, tris.shape)
49 | print(np.asarray([1, vertices.shape[0]], dtype=np.int), np.asarray([[faces.shape[0]]], dtype=np.int))
50 | # img = nmr.neural_renderer_mask(verts, np.asarray([[ vertices.shape[0]]], dtype=np.int),
51 | # tris, np.asarray([[faces.shape[0]]], dtype=np.int), 'render')
52 | nmr.renderer.background_color = [0, 0, 0]
53 | nmr.renderer.perspective = False
54 | img_texture = nmr.neural_renderer_texture(verts, np.asarray([[ vertices.shape[0]]], dtype=np.int),
55 | tris, np.asarray([[faces.shape[0]]], dtype=np.int),
56 | textures, 'render_texture')
57 | nmr.renderer.eye = neural_renderer.get_points_from_angles(2.732, 0, np.random.uniform(0, 360))
58 |
59 | image_ref = scipy.misc.imread('data/example4_ref.png').astype('float32') / 255.
60 | image_ref = tf.transpose(tf.constant(image_ref), [2,0,1])
61 | image_ref = tf.expand_dims(image_ref, axis=0)
62 | print (img_texture.shape)
63 | loss = tf.nn.l2_loss(img_texture - image_ref)
64 |
65 | # print (img.get_shape(), image_ref.get_shape())
66 |
67 | train = tf.train.AdamOptimizer(0.01).minimize(loss)
68 | sess.run(tf.initialize_all_variables())
69 |
70 | loop = tqdm.tqdm(range(300))
71 | for i in loop:
72 | loop.set_description('Optimizing')
73 | sess.run([train])
74 | img_val = sess.run([img_texture])
75 | scipy.misc.toimage(img_val[0][0], cmin=0, cmax=1).save('%s/_tmp_%04d.png' % (working_directory, i))
76 | make_gif(working_directory, 'result/example4_optimization.gif')
77 |
78 | loop = tqdm.tqdm(range(0, 360, 4))
79 | for num, azimuth in enumerate(loop):
80 | loop.set_description('Drawing')
81 | nmr.renderer.eye = neural_renderer.get_points_from_angles(2.732, 0, azimuth)
82 | img_val = sess.run([img_texture])
83 | print(img_val[0][0].shape)
84 | # images = nmr.renderer.render(vertices, faces, textures) # [batch_size, RGB, image_size, image_size]
85 | image = img_val[0][0].transpose((1, 2, 0)) # [image_size, image_size, RGB]
86 | scipy.misc.toimage(image, cmin=0, cmax=1).save('%s/_tmp_%04d.png' % (working_directory, num))
87 |
88 | # generate gif (need ImageMagick)
89 | options = '-delay 8 -loop 0 -layers optimize'
90 | subprocess.call('convert %s %s/_tmp_*.png %s' % (options, working_directory, 'result/example4.gif'), shell=True)
91 |
92 | # remove temporary files
93 | for filename in glob.glob('%s/_tmp_*.png' % working_directory):
94 | os.remove(filename)
95 |
--------------------------------------------------------------------------------
/obj.py:
--------------------------------------------------------------------------------
1 | import os
2 | import string
3 |
4 | import chainer
5 | import numpy as np
6 | import skimage.io
7 | import time
8 | from skimage.transform import rescale
9 |
10 |
11 | def load_mtl(filename_mtl):
12 | # load color (Kd) and filename of textures from *.mtl
13 | texture_filenames = {}
14 | colors = {}
15 | material_name = ''
16 | for line in open(filename_mtl).readlines():
17 | if len(line.split()) != 0:
18 | if line.split()[0] == 'newmtl':
19 | material_name = line.split()[1]
20 | if line.split()[0] == 'map_Kd':
21 | if os.path.exists(line.split()[1]):
22 | texture_filenames[material_name] = line.split()[1]
23 | if line.split()[0] == 'Kd':
24 | colors[material_name] = np.array(map(float, line.split()[1:4]))
25 | return colors, texture_filenames
26 |
27 | class texture_loader():
28 | def __init__(self):
29 | self.chainer_func = chainer.cuda.elementwise(
30 | 'int32 j, raw float32 image, raw float32 faces, raw float32 textures, raw int32 is_update, raw int32 sizes',
31 | '',
32 | string.Template('''
33 | const int ts = sizes[0];//${texture_size};
34 | const int fn = i / (ts * ts * ts);
35 | float dim0 = ((i / (ts * ts)) % ts) / (ts - 1.) ;
36 | float dim1 = ((i / ts) % ts) / (ts - 1.);
37 | float dim2 = (i % ts) / (ts - 1.);
38 | if (1 < dim0 + dim1 + dim2) {
39 | float sum = dim0 + dim1 + dim2;
40 | dim0 /= sum;
41 | dim1 /= sum;
42 | dim2 /= sum;
43 | }
44 | const float* face = &faces[fn * 3 * 2];
45 | float* texture = &textures[i * 3];
46 | if (is_update[fn] == 0) return;
47 |
48 | const float pos_x = (
49 | (face[2 * 0 + 0] * dim0 + face[2 * 1 + 0] * dim1 + face[2 * 2 + 0] * dim2) * (sizes[1] - 1));
50 | const float pos_y = (
51 | (face[2 * 0 + 1] * dim0 + face[2 * 1 + 1] * dim1 + face[2 * 2 + 1] * dim2) * (sizes[2] - 1));
52 | if (1) {
53 | /* bilinear sampling */
54 | const float weight_x1 = pos_x - (int)pos_x;
55 | const float weight_x0 = 1 - weight_x1;
56 | const float weight_y1 = pos_y - (int)pos_y;
57 | const float weight_y0 = 1 - weight_y1;
58 | for (int k = 0; k < 3; k++) {
59 | float c = 0;
60 | c += image[((int)pos_y * sizes[1] + (int)pos_x) * 3 + k] * (weight_x0 * weight_y0);
61 | c += image[((int)(pos_y + 1) * sizes[1] + (int)pos_x) * 3 + k] * (weight_x0 * weight_y1);
62 | c += image[((int)pos_y * sizes[1] + ((int)pos_x) + 1) * 3 + k] * (weight_x1 * weight_y0);
63 | c += image[((int)(pos_y + 1)* sizes[1] + ((int)pos_x) + 1) * 3 + k] * (weight_x1 * weight_y1);
64 | texture[k] = c;
65 | }
66 | } else {
67 | /* nearest neighbor */
68 | const int pos_xi = round(pos_x);
69 | const int pos_yi = round(pos_y);
70 | for (int k = 0; k < 3; k++) {
71 | texture[k] = image[(pos_yi * sizes[1] + pos_xi) * 3 + k];
72 | }
73 | }
74 | ''').substitute(
75 | texture_size=0),
76 | 'function',
77 | )
78 |
79 | def load_textures(self,vertices, faces, material_names, filename_obj, filename_mtl, texture_size):
80 | # load vertices
81 | if len(vertices) > 0:
82 | vertices = np.vstack(vertices).astype('float32')
83 |
84 | # load faces for textures
85 | faces = np.vstack(faces).astype('int32') - 1
86 | textures = np.zeros((faces.shape[0], texture_size, texture_size, texture_size, 3), 'float32') + 0.5
87 |
88 | if len(vertices) == 0:
89 | return textures
90 |
91 | faces = vertices[faces]
92 | faces = chainer.cuda.to_gpu(faces)
93 | faces[1 < faces] = faces[1 < faces] % 1
94 |
95 | #
96 | colors, texture_filenames = load_mtl(filename_mtl)
97 |
98 | textures = chainer.cuda.to_gpu(textures)
99 |
100 | #
101 | for material_name, color in colors.items():
102 | color = chainer.cuda.to_gpu(color)
103 | for i, material_name_f in enumerate(material_names):
104 | if material_name == material_name_f:
105 | textures[i, :, :, :, :] = color[None, None, None, :]
106 |
107 | #
108 | for material_name, filename_texture in texture_filenames.items():
109 | filename_texture = os.path.join(os.path.dirname(filename_obj), filename_texture)
110 | image = skimage.io.imread(filename_texture) / 255.
111 | if image.shape[0] * image.shape[1] > 100*100:
112 | largesize = image.shape[0] if image.shape[0] > image.shape[1] else image.shape[1]
113 | scale = 100./largesize
114 | image = rescale(image, scale, anti_aliasing=False)#resize(image, (200, 200 * image.shape[1] / image.shape[0]), anti_aliasing=True)
115 |
116 | # print (image.shape)
117 | image = chainer.cuda.to_gpu(image.astype('float32'))
118 | image = image[::-1, ::1]
119 | is_update = np.array(material_names) == material_name
120 | is_update = chainer.cuda.to_gpu(is_update).astype('int32')
121 |
122 | loop = np.arange(textures.size / 3).astype('int32')
123 | loop = chainer.cuda.to_gpu(loop)
124 | # .substitute(
125 | # texture_size=texture_size,
126 | # image_height=image.shape[0],
127 | # image_width=image.shape[1],
128 | # )
129 | sizes = chainer.cuda.to_gpu(np.array([texture_size, image.shape[0], image.shape[1]], dtype=np.int32))
130 | self.chainer_func(loop, image, faces, textures, is_update, sizes)
131 | return textures.get()
132 |
133 |
134 | def load_obj(filename_obj, texture_size=4, load_texture=False, maxnverts=10000, maxntris=10000):
135 | """
136 | Load Wavefront .obj file.
137 | This function only supports vertices (v x x x) and faces (f x x x).
138 | """
139 |
140 | # load vertices
141 | vertices = []
142 | faces = []
143 |
144 | #texture
145 | vertices_texture = []
146 | faces_texture = []
147 | material_names = []
148 | material_name = ''
149 | filename_mtl = None
150 | # print (filename_obj)
151 |
152 | tic = time.time()
153 | lines = open(filename_obj, "r").read().replace("\\\n", " ").splitlines()
154 | for line in lines:#open(filename_obj).readlines():
155 |
156 | if len(line.split()) == 0:
157 | continue
158 |
159 | if line.split()[0] == 'v':
160 | vertices.append([float(v) for v in line.split()[1:4]])
161 |
162 | if line.split()[0] == 'f':
163 | vs = line.split()[1:]
164 | nv = len(vs)
165 | if '//' in vs[0]:
166 | v0 = int(vs[0].split('//')[0])
167 | elif '/' in vs[0]:
168 | v0 = int(vs[0].split('/')[0])
169 | # v0 = int(vs[0].split('/')[0])
170 | for i in range(nv - 2):
171 |
172 | if '//' in vs[i + 1]:
173 | v1 = int(vs[i + 1].split('//')[0])
174 | elif '/' in vs[i + 1]:
175 | v1 = int(vs[i + 1].split('/')[0])
176 |
177 | if '//' in vs[i + 2]:
178 | v2 = int(vs[i + 2].split('//')[0])
179 | elif '/' in vs[i + 2]:
180 | v2 = int(vs[i + 2].split('/')[0])
181 | faces.append((v0, v1, v2))
182 |
183 | if load_texture:
184 | if '/' in vs[0] and '//' not in vs[0]:
185 | v0 = int(vs[0].split('/')[1])
186 | else:
187 | v0 = 0
188 | for i in range(nv - 2):
189 | if '/' in vs[i + 1] and '//' not in vs[i + 1]:
190 | v1 = int(vs[i + 1].split('/')[1])
191 | else:
192 | v1 = 0
193 | if '/' in vs[i + 2] and '//' not in vs[i + 2]:
194 | v2 = int(vs[i + 2].split('/')[1])
195 | else:
196 | v2 = 0
197 | faces_texture.append((v0, v1, v2))
198 | material_names.append(material_name)
199 |
200 | if load_texture:
201 | if line.split()[0] == 'vt':
202 | vertices_texture.append([float(v) for v in line.split()[1:3]])
203 |
204 | if line.startswith('mtllib'):
205 | filename_mtl = os.path.join(os.path.dirname(filename_obj), line.split()[1])
206 |
207 | if line.split()[0] == 'usemtl':
208 | material_name = line.split()[1]
209 |
210 | faces = np.vstack(faces).astype('int32') - 1
211 | vertices = np.vstack(vertices).astype('float32')
212 |
213 | print(len(vertices), len(faces))
214 |
215 | if len(vertices) > maxnverts or len(faces) > maxntris:
216 | return None
217 |
218 | if load_texture and (filename_mtl is not None):
219 | tloader = texture_loader()
220 | textures = tloader.load_textures(vertices_texture, faces_texture, material_names, filename_obj, filename_mtl, texture_size)
221 |
222 | # print ('obj',time.time() - tic)
223 | if load_texture:
224 | return vertices, faces, textures
225 | else:
226 | return vertices, faces
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/tf_neuralrenderer.py:
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1 | """
2 | Reference: https://github.com/hiroharu-kato/neural_renderer
3 | https://github.com/akanazawa/cmr/blob/master/nnutils/nmr.py
4 | https://www.tensorflow.org/extend/adding_an_op
5 |
6 | """
7 |
8 | import tensorflow as tf
9 | import chainer
10 | import time
11 | import scipy.misc
12 | import neural_renderer
13 | import numpy as np
14 | import skimage
15 | from tensorflow.python.framework import ops
16 | import obj
17 |
18 | def orthographic_proj_withz(X, cam, offset_z=0.):
19 | """
20 | X: B x N x 3
21 | cam: B x 8: [sc, tx, ty, tz, quaternions]
22 | Orth preserving the z.
23 | """
24 | batch_size = cam.get_shape()[0]
25 | quat = cam[:, -4:]
26 | quat = tf.expand_dims(quat, 1)
27 | X_rot = rotate_vector_by_quaternion(quat, X)
28 |
29 | scale = tf.reshape(cam[:, 0], shape = (-1, 1, 1))
30 | trans = tf.reshape(cam[:, 1:4], shape = (batch_size, 1, -1))
31 |
32 | proj = scale * X_rot
33 |
34 | proj_xyz = proj + trans
35 | # proj_xy = proj[:, :, :2] + trans
36 | # proj_z = proj[:, :, 2, None] + offset_z
37 |
38 | return proj_xyz#tf.concat([proj_xy, proj_z], 2)
39 |
40 |
41 | def rotate_vector_by_quaternion(q, v, q_ndims=None, v_ndims=None):
42 | """
43 | Reference: https://github.com/PhilJd/tf-quaternion/blob/master/tfquaternion/tfquaternion.py
44 | Rotate a vector (or tensor with last dimension of 3) by q.
45 | This function computes v' = q * v * conjugate(q) but faster.
46 | Fast version can be found here:
47 | https://blog.molecular-matters.com/2013/05/24/a-faster-quaternion-vector-multiplication/
48 | Args:
49 | q: A `Quaternion` or `tf.Tensor` with shape (..., 4)
50 | v: A `tf.Tensor` with shape (..., 3)
51 | q_ndims: The number of dimensions of q. Only necessary to specify if
52 | the shape of q is unknown.
53 | v_ndims: The number of dimensions of v. Only necessary to specify if
54 | the shape of v is unknown.
55 | Returns: A `tf.Tensor` with the broadcasted shape of v and q.
56 | """
57 |
58 | v = tf.convert_to_tensor(v)
59 | # normalize
60 | norm = tf.sqrt(tf.reduce_sum(tf.square(q), axis=-1, keep_dims=True))
61 | q = tf.divide(q, norm)
62 | # tf.sqrt(self.norm(keepdims))
63 | # q = q.normalized()
64 | w = q[..., 0]
65 | q_xyz = q[..., 1:]
66 | if q_xyz.shape.ndims is not None:
67 | q_ndims = q_xyz.shape.ndims
68 | if v.shape.ndims is not None:
69 | v_ndims = v.shape.ndims
70 | for _ in range(v_ndims - q_ndims):
71 | q_xyz = tf.expand_dims(q_xyz, axis=0)
72 | for _ in range(q_ndims - v_ndims):
73 | v = tf.expand_dims(v, axis=0) + tf.zeros_like(q_xyz)
74 | q_xyz += tf.zeros_like(v)
75 | v += tf.zeros_like(q_xyz)
76 | t = 2 * tf.cross(q_xyz, v)
77 |
78 | return v + tf.expand_dims(w, axis=-1) * t + tf.cross(q_xyz, t)
79 |
80 | ########################################################################
81 | ############ Wrapper class for the chainer Neural Renderer #############
82 | ##### All functions must only use numpy arrays as inputs/outputs #######
83 | ########################################################################
84 | class NMR(object):
85 | def __init__(self, renderer, img_size=256):
86 | # setup renderer
87 | # renderer = neural_renderer.Renderer()
88 | # self.renderer = renderer
89 | self.renderer = renderer
90 | # self.renderer.image_size = img_size
91 | self.renderer.perspective = True
92 |
93 | # Set a default camera to be at (0, 0, -2.732)
94 | self.renderer.eye = (0, 0.3, -1.5)#[0, 1., -5.]#[2.732, 0.5, -2.732]#neural_renderer.get_points_from_angles(2, 15, -90)#[6, 10, -14]#[2.732, 0, -2.732]#[0, 0, -2.732]#
95 | # self.renderer.eye = [0, 0, -2.732]#
96 | # self.renderer.light_direction = [0, 1, -1]
97 | self.renderer.light_intensity_directional = 0.2
98 | self.renderer.background_color = [1.,1.,1.]
99 |
100 | # self.renderer.light_intensity_ambient = 0.5
101 | # self.renderer.light_intensity_directional = 0.5
102 |
103 | def to_gpu(self, device=0):
104 | # self.renderer.to_gpu(device)
105 | self.cuda_device = device
106 |
107 | def forward_mask(self, verts, nverts, tris, ntris):#verts, nverts, tris, ntris):
108 | ''' Renders masks.
109 | Args:
110 | verts: B X MaxNverts X 3 numpy array
111 | nverts: B X 1 numpy array
112 | tris: B X MaxNtris X 3 numpy array
113 | ntris: B X 1 numpy array
114 | Returns:
115 | masks: B X 256 X 256 numpy array
116 | '''
117 |
118 | # for i in range(len(nverts)):
119 | # print vertices.shape, faces.shape
120 | batch_size = len(nverts)
121 | masks = np.zeros([batch_size, self.renderer.image_size, self.renderer.image_size], dtype=np.float32)
122 | self.masks = []
123 | self.verts_mask = []
124 | self.nverts = nverts
125 | self.nverts_mask = nverts
126 | # print(self.nverts)#, verts.shape, ntris, tris.shape)
127 | for ib in range(batch_size):
128 | tris_chainer = chainer.Variable(chainer.cuda.to_gpu(tris[[ib],:ntris[ib, 0], ...], self.cuda_device))
129 | verts_chainer = chainer.Variable(chainer.cuda.to_gpu(verts[[ib],:nverts[ib, 0], ...], self.cuda_device))
130 | mask = self.renderer.render_silhouettes(verts_chainer, tris_chainer)
131 | self.masks += [mask]
132 | self.verts_mask += [verts_chainer]
133 | masks[ib,:,:] = mask.data.get()
134 |
135 | return masks
136 |
137 | def backward_mask(self, grad_masks):
138 | ''' Compute gradient of vertices given mask gradients.
139 | Args:
140 | grad_masks: B X 256 X 256 numpy array
141 | Returns:
142 | grad_vertices: B X N X 3 numpy array
143 | '''
144 | batch_size = len(grad_masks)
145 | verts_grad = np.zeros(self.verts_size, dtype=np.float32)
146 | # print ('batch', batch_size, len(self.verts_mask), len(self.masks))
147 | for ib in range(batch_size):
148 | mask = self.masks[ib]
149 | mask.grad = chainer.cuda.to_gpu(grad_masks[[ib],:,:], self.cuda_device)
150 | mask.backward()
151 | # print (self.verts_mask[ib].shape, self.nverts[ib])
152 | verts_grad[ib,:self.nverts[ib,0],:] = self.verts_mask[ib].grad.get()
153 | # print np.sum(verts_grad)
154 |
155 | return verts_grad
156 |
157 | def forward_img(self, verts, nverts, tris, ntris, textures):
158 | ''' Renders masks.
159 | Args:
160 | verts: B X MaxNverts X 3 numpy array
161 | nverts: B X 1 numpy array
162 | tris: B X MaxNtris X 3 numpy array
163 | ntris: B X 1 numpy array
164 | textures: B X F X T X T X T X 3 numpy array
165 | Returns:
166 | images: B X 3 x 256 X 256 numpy array
167 | '''
168 | # print 'vertices', vertices.shape
169 | # print 'faces', faces.shape
170 | # print 'textures', textures.shape
171 |
172 | time1 = time2 = time3 = 0.
173 | batch_size = len(nverts)
174 | images = np.zeros([batch_size, 3, self.renderer.image_size, self.renderer.image_size], dtype=np.float32)
175 | self.images = []
176 | self.verts_img = []
177 | self.textures = []
178 | self.nverts = nverts
179 | self.ntris = ntris
180 | ticc = time.time()
181 | for ib in range(batch_size):
182 | # print 'ib', ib
183 | # print tris[[ib],:ntris[ib, 0], ...].shape, verts[[ib],:nverts[ib, 0], ...].shape, textures[[ib],:ntris[ib, 0], ...].shape
184 | # print tris[[ib],:ntris[ib, 0], ...]
185 | tic = time.time()
186 | tris_chainer = chainer.Variable(chainer.cuda.to_gpu(tris[[ib],:ntris[ib, 0], ...], self.cuda_device))
187 | verts_chainer = chainer.Variable(chainer.cuda.to_gpu(verts[[ib],:nverts[ib, 0], ...], self.cuda_device))
188 | textures_chainer = chainer.Variable(chainer.cuda.to_gpu(textures[[ib],:ntris[ib, 0], ...], self.cuda_device))
189 | time1 += (time.time() - tic)
190 | tic = time.time()
191 | image = self.renderer.render(verts_chainer, tris_chainer, textures_chainer)
192 | time2 += (time.time() - tic)
193 | tic = time.time()
194 | self.images += [image]
195 | self.verts_img += [verts_chainer]
196 | self.textures += [textures_chainer]
197 | images[ib,:,:] = image.data.get()
198 | time3 += (time.time() - tic)
199 | print (time.time() - ticc,)
200 |
201 | return images
202 |
203 |
204 | def backward_img(self, grad_images):
205 | ''' Compute gradient of vertices given image gradients.
206 | Args:
207 | grad_images: B X 3? X 256 X 256 numpy array
208 | Returns:
209 | grad_vertices: B X N X 3 numpy array
210 | grad_textures: B X F X T X T X T X 3 numpy array
211 | '''
212 | batch_size = len(grad_images)
213 | verts_grad = np.zeros(self.verts_size, dtype=np.float32)
214 | # print 'verts_grad', verts_grad.shape
215 | textures_grad = np.zeros(self.textures_size, dtype=np.float32)
216 | # print ('batch', batch_size, len(self.verts_img), len(self.images))
217 | for ib in range(batch_size):
218 | image = self.images[ib]
219 | image.grad = chainer.cuda.to_gpu(grad_images[[ib],...], self.cuda_device)
220 | image.backward()
221 | verts_grad[ib,:self.nverts[ib,0],:] = self.verts_img[ib].grad.get()
222 | textures_grad[ib,:self.ntris[ib,0],:] = self.textures[ib].grad.get()
223 |
224 | # self.images.grad = chainer.cuda.to_gpu(grad_images, self.cuda_device)
225 | # self.images.backward()
226 | return verts_grad, textures_grad#self.vertices.grad.get(), self.textures.grad.get()
227 |
228 | def neural_renderer_mask(self, verts, nverts, tris, ntris, name=None, stateful=True):
229 | with ops.name_scope(name, "NeuralRenderer") as name:
230 | rnd_name = 'NeuralRendererGrad' + str(np.random.randint(0, 1E+8))
231 | tf.RegisterGradient(rnd_name)(self._neural_renderer_mask_grad) # see _MySquareGrad for grad example
232 | g = tf.get_default_graph()
233 | self.to_gpu()
234 | self.verts_size = verts.shape
235 | with g.gradient_override_map({"PyFunc": rnd_name, "PyFuncStateless": rnd_name}):
236 | mask = tf.py_func(self.forward_mask,
237 | [verts, nverts, tris, ntris],
238 | [tf.float32],
239 | stateful=stateful,
240 | name=name)[0]
241 | mask.set_shape([verts.shape[0], self.renderer.image_size, self.renderer.image_size])
242 | return mask
243 |
244 | def _neural_renderer_mask_grad(self, op, grad_mask):
245 | tmp_grad_name = 'NeuralRendererGradPyFunc'+ str(np.random.randint(low=0,high=1e+8))
246 | g = tf.get_default_graph()
247 | with g.gradient_override_map({"PyFunc": tmp_grad_name, "PyFuncStateless": tmp_grad_name}):
248 | grad_verts = tf.py_func(self.backward_mask,
249 | [grad_mask],
250 | [tf.float32],
251 | stateful=True,
252 | name=tmp_grad_name)[0]
253 | grad_verts.set_shape(self.verts_size)
254 | return [grad_verts, None, None, None]
255 |
256 |
257 | def neural_renderer_texture(self, verts, nverts, tris, ntris, textures, name=None, stateful=True):
258 | with ops.name_scope(name, "NeuralRendererTexture") as name:
259 | rnd_name = 'NeuralRendererTextureGrad' + str(np.random.randint(0, 1E+8))
260 | tf.RegisterGradient(rnd_name)(self._neural_renderer_texture_grad) # see _MySquareGrad for grad example
261 | g = tf.get_default_graph()
262 | self.to_gpu()
263 | self.verts_size = verts.shape
264 | self.textures_size = textures.shape
265 | with g.gradient_override_map({"PyFunc": rnd_name, "PyFuncStateless": rnd_name}):
266 | img = tf.py_func(self.forward_img,
267 | [verts, nverts, tris, ntris, textures],
268 | [tf.float32],
269 | stateful=stateful,
270 | name=name)[0]
271 | img.set_shape([verts.shape[0], 3, self.renderer.image_size, self.renderer.image_size])
272 | return img
273 |
274 | def _neural_renderer_texture_grad(self, op, grad_img):
275 | tmp_grad_name = 'NeuralRendererTextureGradPyFunc'+ str(np.random.randint(low=0,high=1e+8))
276 | # print ('grad_img', grad_img.get_shape())
277 | g = tf.get_default_graph()
278 | with g.gradient_override_map({"PyFunc": tmp_grad_name, "PyFuncStateless": tmp_grad_name}):
279 | grad_verts, grad_texture = tf.py_func(self.backward_img,
280 | [grad_img],
281 | [tf.float32, tf.float32],
282 | stateful=True,
283 | name=tmp_grad_name)
284 | grad_verts.set_shape(self.verts_size)
285 | grad_texture.set_shape(self.textures_size)
286 | # print ('grad_verts', grad_verts.get_shape(), 'grad_texture', grad_texture.get_shape())
287 | return [grad_verts, None, None, None, grad_texture]
288 |
289 |
290 | if __name__ == '__main__':
291 | ## unitests
292 | pass
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