PMD to COLLADA Converter pmd2collada.py, v3.0 2012-01-26T22:20:52 2012-01-26T22:20:52 Z_UP 0.2393790 0.0000000 0.0000000 0.1196900 0.2073080 0.0000000 0.2644390 0.4580220 0.4329290 0.5288780 0.0000000 0.4329290 -0.1196900 0.2073080 0.0000000 -0.2644390 0.4580220 0.4329290 -0.1196900 0.2073080 0.0000000 -0.2393790 -0.0000000 0.0000000 -0.5288780 -0.0000000 0.4329290 -0.2644390 0.4580220 0.4329290 -0.1196900 -0.2073080 0.0000000 -0.2644390 -0.4580220 0.4329290 0.1196900 -0.2073080 0.0000000 0.2644390 -0.4580220 0.4329290 0.5288780 0.0000000 0.4329290 0.2644390 0.4580220 0.4329290 0.0796280 0.1379210 1.0336380 0.1592570 -0.0000000 1.0336380 -0.2644390 0.4580220 0.4329290 -0.0796280 0.1379210 1.0336380 -0.2644390 0.4580220 0.4329290 -0.5288780 -0.0000000 0.4329290 -0.1592570 -0.0000000 1.0336380 -0.0796280 0.1379210 1.0336380 -0.2644390 -0.4580220 0.4329290 -0.0796280 -0.1379210 1.0336380 0.2644390 -0.4580220 0.4329290 0.0796280 -0.1379210 1.0336380 0.1327860 0.2299930 1.4434500 0.2655730 -0.0000000 1.4434500 -0.1327860 0.2299930 1.4434500 -0.2655730 -0.0000000 1.4434500 -0.1327860 0.2299930 1.4434500 -0.1327860 -0.2299930 1.4434500 0.1327860 -0.2299930 1.4434500 -0.2655730 -0.0000000 1.4434500 -0.1327860 -0.2299930 1.4434500 0.0000000 -0.0000000 1.0056270 0.1327860 -0.2299930 1.4434500 0.2655730 -0.0000000 1.4434500 0.1327860 0.2299930 1.4434500 -0.1327860 0.2299930 1.4434500 0.8208320 0.1579690 -0.5488900 0.2736110 0.7898460 -0.5488900 0.5472220 0.6318770 -0.5488900 0.8208320 -0.1579690 -0.5488900 -0.5472220 0.6318770 -0.5488900 -0.2736110 0.7898460 -0.5488900 -0.5472220 0.6318770 -0.5488900 -0.8208320 -0.1579690 -0.5488900 -0.8208320 0.1579690 -0.5488900 -0.2736110 0.7898460 -0.5488900 -0.2736110 -0.7898460 -0.5488900 -0.5472210 -0.6318770 -0.5488900 0.5472220 -0.6318770 -0.5488900 0.2736110 -0.7898460 -0.5488900 0.8404720 0.1617490 0.5171490 0.2801570 0.8087450 0.5171490 0.4857460 0.8604020 0.1541430 0.9880030 0.0095320 0.1541430 -0.5603150 0.6469960 0.5171490 -0.5022570 0.8508690 0.1541430 -0.5603150 0.6469960 0.5171490 -0.8404720 -0.1617490 0.5171490 -0.9880030 -0.0095320 0.1541430 -0.5022570 0.8508690 0.1541430 -0.2801570 -0.8087450 0.5171490 -0.4857460 -0.8604020 0.1541430 0.5603150 -0.6469960 0.5171490 0.5022570 -0.8508690 0.1541430 0.6343920 0.7325330 -0.2468670 0.9515880 -0.1831330 -0.2468670 -0.3171960 0.9156660 -0.2468670 -0.9515880 0.1831330 -0.2468670 -0.3171960 0.9156660 -0.2468670 -0.6343920 -0.7325330 -0.2468670 0.3171960 -0.9156660 -0.2468670 0.8550030 0.0000000 0.5186240 0.4275010 0.7404540 0.5186240 -0.0000000 0.0000000 1.0000000 -0.4275010 0.7404540 0.5186240 -0.8550030 0.0000000 0.5186240 -0.4275010 -0.7404540 0.5186240 0.4275010 -0.7404540 0.5186240 0.659267 0.005166 0.815169 0.005166 0.815169 0.146562 0.659267 0.146562 1.00172 0.005166 1.00172 0.146562 0.00501 0.005166 0.160912 0.005166 0.160912 0.146562 0.00501 0.146562 0.316814 0.005166 0.316814 0.146562 0.503365 0.005166 0.503365 0.146562 0.659267 0.146562 0.815169 0.146562 0.815169 0.324707 0.659267 0.324707 1.00172 0.146562 1.00172 0.324707 0.00501 0.146562 0.160912 0.146562 0.160912 0.324707 0.00501 0.324707 0.316814 0.146562 0.316814 0.324707 0.503365 0.146562 0.503365 0.324707 0.815169 0.494547 0.659267 0.494547 1.00172 0.494547 0.160912 0.494547 0.00501 0.494547 0.316814 0.494547 0.503365 0.494547 0.503568 0.87891 0.623511 0.761413 0.743455 0.878911 0.863399 0.761413 0.983342 0.878911 0.863398 0.996408 0.623511 0.996408

0 1 2 2 3 0 1 4 5 5 2 1 6 7 8 8 9 6 7 10 11 11 8 7 10 12 13 13 11 10 12 0 3 3 13 12 14 15 16 16 17 14 15 18 19 19 16 15 20 21 22 22 23 20 21 24 25 25 22 21 24 26 27 27 25 24 26 14 17 17 27 26 17 16 28 28 29 17 16 19 30 30 28 16 23 22 31 31 32 23 22 25 33 33 31 22 25 27 34 34 33 25 27 17 29 29 34 27 35 36 37 36 38 37 39 40 37 37 41 35 38 39 37 37 40 41