├── 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: -------------------------------------------------------------------------------- 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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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 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-------------------------------------------------------------------------------- /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 -------------------------------------------------------------------------------- /result/example1.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/laughtervv/tf_neural_renderer/55698c0bcb719cc3dbd0091cca50e781fb1fcc27/result/example1.gif -------------------------------------------------------------------------------- /result/example2.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/laughtervv/tf_neural_renderer/55698c0bcb719cc3dbd0091cca50e781fb1fcc27/result/example2.gif -------------------------------------------------------------------------------- /result/example2_optimization.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/laughtervv/tf_neural_renderer/55698c0bcb719cc3dbd0091cca50e781fb1fcc27/result/example2_optimization.gif -------------------------------------------------------------------------------- /result/example3.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/laughtervv/tf_neural_renderer/55698c0bcb719cc3dbd0091cca50e781fb1fcc27/result/example3.gif -------------------------------------------------------------------------------- /result/example3_optimization.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/laughtervv/tf_neural_renderer/55698c0bcb719cc3dbd0091cca50e781fb1fcc27/result/example3_optimization.gif -------------------------------------------------------------------------------- /result/example4.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/laughtervv/tf_neural_renderer/55698c0bcb719cc3dbd0091cca50e781fb1fcc27/result/example4.gif -------------------------------------------------------------------------------- /result/example4_optimization.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/laughtervv/tf_neural_renderer/55698c0bcb719cc3dbd0091cca50e781fb1fcc27/result/example4_optimization.gif -------------------------------------------------------------------------------- /tf_neuralrenderer.py: -------------------------------------------------------------------------------- 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 --------------------------------------------------------------------------------