[02/12 11:52:43] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] [02/12 11:52:43] d2.data.common INFO: Serializing the dataset using: [02/12 11:52:43] d2.data.common INFO: Serializing 5000 elements to byte tensors and concatenating them all ... [02/12 11:52:43] d2.data.common INFO: Serialized dataset takes 4.32 MiB [02/12 11:52:44] d2.evaluation.evaluator INFO: Start inference on 1250 batches [02/12 11:52:55] d2.evaluation.evaluator INFO: Inference done 1/1250. Dataloading: 4.8066 s/iter. Inference: 6.1448 s/iter. Eval: 0.0746 s/iter. Total: 11.0306 s/iter. ETA=3:49:37 [02/12 11:53:00] d2.evaluation.evaluator INFO: Inference done 12/1250. Dataloading: 0.0015 s/iter. Inference: 0.3962 s/iter. Eval: 0.0554 s/iter. Total: 0.4531 s/iter. ETA=0:09:20 [02/12 11:53:06] d2.evaluation.evaluator INFO: Inference done 24/1250. Dataloading: 0.0019 s/iter. Inference: 0.4041 s/iter. Eval: 0.0499 s/iter. Total: 0.4559 s/iter. ETA=0:09:18 [02/12 11:53:11] d2.evaluation.evaluator INFO: Inference done 35/1250. Dataloading: 0.0019 s/iter. Inference: 0.4031 s/iter. Eval: 0.0505 s/iter. Total: 0.4556 s/iter. ETA=0:09:13 [02/12 11:53:16] d2.evaluation.evaluator INFO: Inference done 46/1250. Dataloading: 0.0019 s/iter. Inference: 0.4063 s/iter. Eval: 0.0499 s/iter. Total: 0.4582 s/iter. ETA=0:09:11 [02/12 11:53:21] d2.evaluation.evaluator INFO: Inference done 57/1250. Dataloading: 0.0019 s/iter. Inference: 0.4070 s/iter. Eval: 0.0491 s/iter. Total: 0.4581 s/iter. ETA=0:09:06 [02/12 11:53:26] d2.evaluation.evaluator INFO: Inference done 68/1250. Dataloading: 0.0019 s/iter. Inference: 0.4071 s/iter. Eval: 0.0484 s/iter. Total: 0.4575 s/iter. ETA=0:09:00 [02/12 11:53:31] d2.evaluation.evaluator INFO: Inference done 80/1250. Dataloading: 0.0020 s/iter. Inference: 0.4056 s/iter. Eval: 0.0488 s/iter. Total: 0.4564 s/iter. ETA=0:08:54 [02/12 11:53:37] d2.evaluation.evaluator INFO: Inference done 91/1250. Dataloading: 0.0020 s/iter. Inference: 0.4068 s/iter. Eval: 0.0497 s/iter. Total: 0.4585 s/iter. ETA=0:08:51 [02/12 11:53:42] d2.evaluation.evaluator INFO: Inference done 102/1250. Dataloading: 0.0020 s/iter. Inference: 0.4080 s/iter. Eval: 0.0503 s/iter. Total: 0.4603 s/iter. ETA=0:08:48 [02/12 11:53:47] d2.evaluation.evaluator INFO: Inference done 113/1250. Dataloading: 0.0020 s/iter. Inference: 0.4089 s/iter. Eval: 0.0498 s/iter. Total: 0.4608 s/iter. ETA=0:08:43 [02/12 11:53:52] d2.evaluation.evaluator INFO: Inference done 124/1250. Dataloading: 0.0020 s/iter. Inference: 0.4083 s/iter. Eval: 0.0503 s/iter. Total: 0.4605 s/iter. ETA=0:08:38 [02/12 11:53:57] d2.evaluation.evaluator INFO: Inference done 135/1250. Dataloading: 0.0020 s/iter. Inference: 0.4093 s/iter. Eval: 0.0498 s/iter. Total: 0.4612 s/iter. ETA=0:08:34 [02/12 11:54:03] d2.evaluation.evaluator INFO: Inference done 146/1250. Dataloading: 0.0020 s/iter. Inference: 0.4111 s/iter. Eval: 0.0499 s/iter. Total: 0.4630 s/iter. ETA=0:08:31 [02/12 11:54:08] d2.evaluation.evaluator INFO: Inference done 157/1250. Dataloading: 0.0020 s/iter. Inference: 0.4112 s/iter. Eval: 0.0498 s/iter. Total: 0.4631 s/iter. ETA=0:08:26 [02/12 11:54:13] d2.evaluation.evaluator INFO: Inference done 168/1250. Dataloading: 0.0020 s/iter. Inference: 0.4110 s/iter. Eval: 0.0498 s/iter. Total: 0.4628 s/iter. ETA=0:08:20 [02/12 11:54:18] d2.evaluation.evaluator INFO: Inference done 179/1250. Dataloading: 0.0020 s/iter. Inference: 0.4108 s/iter. Eval: 0.0501 s/iter. Total: 0.4629 s/iter. ETA=0:08:15 [02/12 11:54:23] d2.evaluation.evaluator INFO: Inference done 190/1250. Dataloading: 0.0020 s/iter. Inference: 0.4109 s/iter. Eval: 0.0502 s/iter. Total: 0.4632 s/iter. ETA=0:08:10 [02/12 11:54:28] d2.evaluation.evaluator INFO: Inference done 201/1250. Dataloading: 0.0020 s/iter. Inference: 0.4120 s/iter. Eval: 0.0496 s/iter. Total: 0.4636 s/iter. ETA=0:08:06 [02/12 11:54:33] d2.evaluation.evaluator INFO: Inference done 212/1250. Dataloading: 0.0020 s/iter. Inference: 0.4121 s/iter. Eval: 0.0496 s/iter. Total: 0.4637 s/iter. ETA=0:08:01 [02/12 11:54:38] d2.evaluation.evaluator INFO: Inference done 223/1250. Dataloading: 0.0020 s/iter. Inference: 0.4124 s/iter. Eval: 0.0494 s/iter. Total: 0.4639 s/iter. ETA=0:07:56 [02/12 11:54:43] d2.evaluation.evaluator INFO: Inference done 234/1250. Dataloading: 0.0020 s/iter. Inference: 0.4124 s/iter. Eval: 0.0493 s/iter. Total: 0.4637 s/iter. ETA=0:07:51 [02/12 11:54:48] d2.evaluation.evaluator INFO: Inference done 245/1250. Dataloading: 0.0020 s/iter. Inference: 0.4120 s/iter. Eval: 0.0494 s/iter. Total: 0.4635 s/iter. ETA=0:07:45 [02/12 11:54:54] d2.evaluation.evaluator INFO: Inference done 256/1250. Dataloading: 0.0020 s/iter. Inference: 0.4118 s/iter. Eval: 0.0499 s/iter. Total: 0.4637 s/iter. ETA=0:07:40 [02/12 11:54:59] d2.evaluation.evaluator INFO: Inference done 267/1250. Dataloading: 0.0020 s/iter. Inference: 0.4124 s/iter. Eval: 0.0496 s/iter. Total: 0.4640 s/iter. ETA=0:07:36 [02/12 11:55:04] d2.evaluation.evaluator INFO: Inference done 278/1250. Dataloading: 0.0020 s/iter. Inference: 0.4125 s/iter. Eval: 0.0496 s/iter. Total: 0.4642 s/iter. ETA=0:07:31 [02/12 11:55:09] d2.evaluation.evaluator INFO: Inference done 289/1250. Dataloading: 0.0020 s/iter. Inference: 0.4131 s/iter. Eval: 0.0495 s/iter. Total: 0.4646 s/iter. ETA=0:07:26 [02/12 11:55:14] d2.evaluation.evaluator INFO: Inference done 300/1250. Dataloading: 0.0020 s/iter. Inference: 0.4132 s/iter. Eval: 0.0495 s/iter. Total: 0.4647 s/iter. ETA=0:07:21 [02/12 11:55:19] d2.evaluation.evaluator INFO: Inference done 311/1250. Dataloading: 0.0020 s/iter. Inference: 0.4128 s/iter. Eval: 0.0496 s/iter. Total: 0.4644 s/iter. ETA=0:07:16 [02/12 11:55:24] d2.evaluation.evaluator INFO: Inference done 322/1250. Dataloading: 0.0020 s/iter. Inference: 0.4125 s/iter. Eval: 0.0495 s/iter. Total: 0.4640 s/iter. ETA=0:07:10 [02/12 11:55:30] d2.evaluation.evaluator INFO: Inference done 333/1250. Dataloading: 0.0020 s/iter. Inference: 0.4131 s/iter. Eval: 0.0495 s/iter. Total: 0.4647 s/iter. ETA=0:07:06 [02/12 11:55:35] d2.evaluation.evaluator INFO: Inference done 344/1250. Dataloading: 0.0020 s/iter. Inference: 0.4130 s/iter. Eval: 0.0498 s/iter. Total: 0.4649 s/iter. ETA=0:07:01 [02/12 11:55:40] d2.evaluation.evaluator INFO: Inference done 355/1250. Dataloading: 0.0020 s/iter. Inference: 0.4140 s/iter. Eval: 0.0495 s/iter. Total: 0.4656 s/iter. ETA=0:06:56 [02/12 11:55:45] d2.evaluation.evaluator INFO: Inference done 366/1250. Dataloading: 0.0020 s/iter. Inference: 0.4138 s/iter. Eval: 0.0496 s/iter. Total: 0.4654 s/iter. ETA=0:06:51 [02/12 11:55:50] d2.evaluation.evaluator INFO: Inference done 377/1250. Dataloading: 0.0020 s/iter. Inference: 0.4140 s/iter. Eval: 0.0495 s/iter. Total: 0.4655 s/iter. ETA=0:06:46 [02/12 11:55:56] d2.evaluation.evaluator INFO: Inference done 389/1250. Dataloading: 0.0020 s/iter. Inference: 0.4138 s/iter. Eval: 0.0493 s/iter. Total: 0.4651 s/iter. ETA=0:06:40 [02/12 11:56:01] d2.evaluation.evaluator INFO: Inference done 401/1250. Dataloading: 0.0019 s/iter. Inference: 0.4131 s/iter. Eval: 0.0493 s/iter. Total: 0.4645 s/iter. ETA=0:06:34 [02/12 11:56:06] d2.evaluation.evaluator INFO: Inference done 412/1250. Dataloading: 0.0019 s/iter. Inference: 0.4133 s/iter. Eval: 0.0494 s/iter. Total: 0.4647 s/iter. ETA=0:06:29 [02/12 11:56:11] d2.evaluation.evaluator INFO: Inference done 423/1250. Dataloading: 0.0019 s/iter. Inference: 0.4133 s/iter. Eval: 0.0493 s/iter. Total: 0.4646 s/iter. ETA=0:06:24 [02/12 11:56:17] d2.evaluation.evaluator INFO: Inference done 434/1250. Dataloading: 0.0019 s/iter. Inference: 0.4135 s/iter. Eval: 0.0491 s/iter. Total: 0.4646 s/iter. ETA=0:06:19 [02/12 11:56:22] d2.evaluation.evaluator INFO: Inference done 445/1250. Dataloading: 0.0019 s/iter. Inference: 0.4135 s/iter. Eval: 0.0490 s/iter. Total: 0.4644 s/iter. ETA=0:06:13 [02/12 11:56:27] d2.evaluation.evaluator INFO: Inference done 456/1250. Dataloading: 0.0019 s/iter. Inference: 0.4139 s/iter. Eval: 0.0489 s/iter. Total: 0.4648 s/iter. ETA=0:06:09 [02/12 11:56:32] d2.evaluation.evaluator INFO: Inference done 468/1250. Dataloading: 0.0019 s/iter. Inference: 0.4134 s/iter. Eval: 0.0489 s/iter. Total: 0.4643 s/iter. ETA=0:06:03 [02/12 11:56:37] d2.evaluation.evaluator INFO: Inference done 479/1250. Dataloading: 0.0019 s/iter. Inference: 0.4132 s/iter. Eval: 0.0489 s/iter. Total: 0.4641 s/iter. ETA=0:05:57 [02/12 11:56:42] d2.evaluation.evaluator INFO: Inference done 490/1250. Dataloading: 0.0019 s/iter. Inference: 0.4131 s/iter. Eval: 0.0490 s/iter. Total: 0.4641 s/iter. ETA=0:05:52 [02/12 11:56:47] d2.evaluation.evaluator INFO: Inference done 501/1250. Dataloading: 0.0019 s/iter. Inference: 0.4131 s/iter. Eval: 0.0491 s/iter. Total: 0.4642 s/iter. ETA=0:05:47 [02/12 11:56:53] d2.evaluation.evaluator INFO: Inference done 513/1250. Dataloading: 0.0019 s/iter. Inference: 0.4126 s/iter. Eval: 0.0491 s/iter. Total: 0.4638 s/iter. ETA=0:05:41 [02/12 11:56:58] d2.evaluation.evaluator INFO: Inference done 525/1250. Dataloading: 0.0019 s/iter. Inference: 0.4121 s/iter. Eval: 0.0493 s/iter. Total: 0.4635 s/iter. ETA=0:05:36 [02/12 11:57:04] d2.evaluation.evaluator INFO: Inference done 537/1250. Dataloading: 0.0019 s/iter. Inference: 0.4119 s/iter. Eval: 0.0493 s/iter. Total: 0.4632 s/iter. ETA=0:05:30 [02/12 11:57:09] d2.evaluation.evaluator INFO: Inference done 548/1250. Dataloading: 0.0019 s/iter. Inference: 0.4120 s/iter. Eval: 0.0493 s/iter. Total: 0.4633 s/iter. ETA=0:05:25 [02/12 11:57:14] d2.evaluation.evaluator INFO: Inference done 559/1250. Dataloading: 0.0019 s/iter. Inference: 0.4123 s/iter. Eval: 0.0494 s/iter. Total: 0.4637 s/iter. ETA=0:05:20 [02/12 11:57:19] d2.evaluation.evaluator INFO: Inference done 570/1250. Dataloading: 0.0019 s/iter. Inference: 0.4124 s/iter. Eval: 0.0493 s/iter. Total: 0.4636 s/iter. ETA=0:05:15 [02/12 11:57:24] d2.evaluation.evaluator INFO: Inference done 581/1250. Dataloading: 0.0019 s/iter. Inference: 0.4121 s/iter. Eval: 0.0493 s/iter. Total: 0.4635 s/iter. ETA=0:05:10 [02/12 11:57:29] d2.evaluation.evaluator INFO: Inference done 592/1250. Dataloading: 0.0019 s/iter. Inference: 0.4122 s/iter. Eval: 0.0494 s/iter. Total: 0.4636 s/iter. ETA=0:05:05 [02/12 11:57:35] d2.evaluation.evaluator INFO: Inference done 603/1250. Dataloading: 0.0019 s/iter. Inference: 0.4125 s/iter. Eval: 0.0492 s/iter. Total: 0.4637 s/iter. ETA=0:04:59 [02/12 11:57:40] d2.evaluation.evaluator INFO: Inference done 614/1250. Dataloading: 0.0019 s/iter. Inference: 0.4129 s/iter. Eval: 0.0491 s/iter. Total: 0.4639 s/iter. ETA=0:04:55 [02/12 11:57:45] d2.evaluation.evaluator INFO: Inference done 625/1250. Dataloading: 0.0019 s/iter. Inference: 0.4132 s/iter. Eval: 0.0490 s/iter. Total: 0.4641 s/iter. ETA=0:04:50 [02/12 11:57:50] d2.evaluation.evaluator INFO: Inference done 636/1250. Dataloading: 0.0019 s/iter. Inference: 0.4131 s/iter. Eval: 0.0490 s/iter. Total: 0.4641 s/iter. ETA=0:04:44 [02/12 11:57:55] d2.evaluation.evaluator INFO: Inference done 647/1250. Dataloading: 0.0019 s/iter. Inference: 0.4131 s/iter. Eval: 0.0491 s/iter. Total: 0.4642 s/iter. ETA=0:04:39 [02/12 11:58:00] d2.evaluation.evaluator INFO: Inference done 658/1250. Dataloading: 0.0019 s/iter. Inference: 0.4131 s/iter. Eval: 0.0492 s/iter. Total: 0.4642 s/iter. ETA=0:04:34 [02/12 11:58:05] d2.evaluation.evaluator INFO: Inference done 669/1250. Dataloading: 0.0019 s/iter. Inference: 0.4128 s/iter. Eval: 0.0493 s/iter. Total: 0.4641 s/iter. ETA=0:04:29 [02/12 11:58:10] d2.evaluation.evaluator INFO: Inference done 680/1250. Dataloading: 0.0019 s/iter. Inference: 0.4129 s/iter. Eval: 0.0491 s/iter. Total: 0.4640 s/iter. ETA=0:04:24 [02/12 11:58:16] d2.evaluation.evaluator INFO: Inference done 691/1250. Dataloading: 0.0019 s/iter. Inference: 0.4128 s/iter. Eval: 0.0492 s/iter. Total: 0.4639 s/iter. ETA=0:04:19 [02/12 11:58:21] d2.evaluation.evaluator INFO: Inference done 702/1250. Dataloading: 0.0019 s/iter. Inference: 0.4130 s/iter. Eval: 0.0491 s/iter. Total: 0.4641 s/iter. ETA=0:04:14 [02/12 11:58:26] d2.evaluation.evaluator INFO: Inference done 713/1250. Dataloading: 0.0019 s/iter. Inference: 0.4129 s/iter. Eval: 0.0492 s/iter. Total: 0.4641 s/iter. ETA=0:04:09 [02/12 11:58:31] d2.evaluation.evaluator INFO: Inference done 724/1250. Dataloading: 0.0019 s/iter. Inference: 0.4127 s/iter. Eval: 0.0493 s/iter. Total: 0.4640 s/iter. ETA=0:04:04 [02/12 11:58:36] d2.evaluation.evaluator INFO: Inference done 735/1250. Dataloading: 0.0019 s/iter. Inference: 0.4127 s/iter. Eval: 0.0494 s/iter. Total: 0.4640 s/iter. ETA=0:03:58 [02/12 11:58:41] d2.evaluation.evaluator INFO: Inference done 746/1250. Dataloading: 0.0019 s/iter. Inference: 0.4125 s/iter. Eval: 0.0494 s/iter. Total: 0.4639 s/iter. ETA=0:03:53 [02/12 11:58:46] d2.evaluation.evaluator INFO: Inference done 757/1250. Dataloading: 0.0019 s/iter. Inference: 0.4127 s/iter. Eval: 0.0493 s/iter. Total: 0.4640 s/iter. ETA=0:03:48 [02/12 11:58:51] d2.evaluation.evaluator INFO: Inference done 768/1250. Dataloading: 0.0019 s/iter. Inference: 0.4126 s/iter. Eval: 0.0494 s/iter. Total: 0.4639 s/iter. ETA=0:03:43 [02/12 11:58:56] d2.evaluation.evaluator INFO: Inference done 779/1250. Dataloading: 0.0019 s/iter. Inference: 0.4126 s/iter. Eval: 0.0493 s/iter. Total: 0.4639 s/iter. ETA=0:03:38 [02/12 11:59:02] d2.evaluation.evaluator INFO: Inference done 790/1250. Dataloading: 0.0019 s/iter. Inference: 0.4128 s/iter. Eval: 0.0494 s/iter. Total: 0.4642 s/iter. ETA=0:03:33 [02/12 11:59:07] d2.evaluation.evaluator INFO: Inference done 801/1250. Dataloading: 0.0019 s/iter. Inference: 0.4129 s/iter. Eval: 0.0494 s/iter. Total: 0.4643 s/iter. ETA=0:03:28 [02/12 11:59:12] d2.evaluation.evaluator INFO: Inference done 813/1250. Dataloading: 0.0019 s/iter. Inference: 0.4127 s/iter. Eval: 0.0494 s/iter. Total: 0.4641 s/iter. ETA=0:03:22 [02/12 11:59:17] d2.evaluation.evaluator INFO: Inference done 824/1250. Dataloading: 0.0019 s/iter. Inference: 0.4128 s/iter. Eval: 0.0493 s/iter. Total: 0.4641 s/iter. ETA=0:03:17 [02/12 11:59:23] d2.evaluation.evaluator INFO: Inference done 835/1250. Dataloading: 0.0019 s/iter. Inference: 0.4129 s/iter. Eval: 0.0493 s/iter. Total: 0.4642 s/iter. ETA=0:03:12 [02/12 11:59:28] d2.evaluation.evaluator INFO: Inference done 846/1250. Dataloading: 0.0019 s/iter. Inference: 0.4128 s/iter. Eval: 0.0494 s/iter. Total: 0.4641 s/iter. ETA=0:03:07 [02/12 11:59:33] d2.evaluation.evaluator INFO: Inference done 857/1250. Dataloading: 0.0019 s/iter. Inference: 0.4127 s/iter. Eval: 0.0494 s/iter. Total: 0.4641 s/iter. ETA=0:03:02 [02/12 11:59:38] d2.evaluation.evaluator INFO: Inference done 868/1250. Dataloading: 0.0019 s/iter. Inference: 0.4128 s/iter. Eval: 0.0493 s/iter. Total: 0.4640 s/iter. ETA=0:02:57 [02/12 11:59:43] d2.evaluation.evaluator INFO: Inference done 879/1250. Dataloading: 0.0019 s/iter. Inference: 0.4128 s/iter. Eval: 0.0492 s/iter. Total: 0.4640 s/iter. ETA=0:02:52 [02/12 11:59:48] d2.evaluation.evaluator INFO: Inference done 890/1250. Dataloading: 0.0019 s/iter. Inference: 0.4130 s/iter. Eval: 0.0491 s/iter. Total: 0.4642 s/iter. ETA=0:02:47 [02/12 11:59:53] d2.evaluation.evaluator INFO: Inference done 901/1250. Dataloading: 0.0019 s/iter. Inference: 0.4129 s/iter. Eval: 0.0492 s/iter. Total: 0.4641 s/iter. ETA=0:02:41 [02/12 11:59:58] d2.evaluation.evaluator INFO: Inference done 912/1250. Dataloading: 0.0019 s/iter. Inference: 0.4130 s/iter. Eval: 0.0491 s/iter. Total: 0.4641 s/iter. ETA=0:02:36 [02/12 12:00:03] d2.evaluation.evaluator INFO: Inference done 923/1250. Dataloading: 0.0019 s/iter. Inference: 0.4129 s/iter. Eval: 0.0491 s/iter. Total: 0.4640 s/iter. ETA=0:02:31 [02/12 12:00:08] d2.evaluation.evaluator INFO: Inference done 934/1250. Dataloading: 0.0019 s/iter. Inference: 0.4130 s/iter. Eval: 0.0491 s/iter. Total: 0.4641 s/iter. ETA=0:02:26 [02/12 12:00:13] d2.evaluation.evaluator INFO: Inference done 945/1250. Dataloading: 0.0019 s/iter. Inference: 0.4130 s/iter. Eval: 0.0491 s/iter. Total: 0.4640 s/iter. ETA=0:02:21 [02/12 12:00:19] d2.evaluation.evaluator INFO: Inference done 956/1250. Dataloading: 0.0019 s/iter. Inference: 0.4132 s/iter. Eval: 0.0490 s/iter. Total: 0.4643 s/iter. ETA=0:02:16 [02/12 12:00:24] d2.evaluation.evaluator INFO: Inference done 967/1250. Dataloading: 0.0019 s/iter. Inference: 0.4132 s/iter. Eval: 0.0490 s/iter. Total: 0.4642 s/iter. ETA=0:02:11 [02/12 12:00:29] d2.evaluation.evaluator INFO: Inference done 978/1250. Dataloading: 0.0019 s/iter. Inference: 0.4130 s/iter. Eval: 0.0492 s/iter. Total: 0.4642 s/iter. ETA=0:02:06 [02/12 12:00:34] d2.evaluation.evaluator INFO: Inference done 989/1250. Dataloading: 0.0019 s/iter. Inference: 0.4132 s/iter. Eval: 0.0491 s/iter. Total: 0.4643 s/iter. ETA=0:02:01 [02/12 12:00:39] d2.evaluation.evaluator INFO: Inference done 1000/1250. Dataloading: 0.0019 s/iter. Inference: 0.4134 s/iter. Eval: 0.0490 s/iter. Total: 0.4643 s/iter. ETA=0:01:56 [02/12 12:00:45] d2.evaluation.evaluator INFO: Inference done 1012/1250. Dataloading: 0.0019 s/iter. Inference: 0.4132 s/iter. Eval: 0.0490 s/iter. Total: 0.4642 s/iter. ETA=0:01:50 [02/12 12:00:50] d2.evaluation.evaluator INFO: Inference done 1024/1250. Dataloading: 0.0019 s/iter. Inference: 0.4130 s/iter. Eval: 0.0491 s/iter. Total: 0.4641 s/iter. ETA=0:01:44 [02/12 12:00:55] d2.evaluation.evaluator INFO: Inference done 1035/1250. 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ETA=0:00:00 [02/12 12:02:35] d2.evaluation.evaluator INFO: Total inference time: 0:09:37.947386 (0.464215 s / iter per device, on 4 devices) [02/12 12:02:35] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:08:33 (0.412311 s / iter per device, on 4 devices) [02/12 12:02:37] d2.evaluation.panoptic_evaluation INFO: Writing all panoptic predictions to /tmp/panoptic_evalmccibf9x ... [02/12 12:03:05] d2.evaluation.panoptic_evaluation INFO: Panoptic Evaluation Results: | | PQ | SQ | RQ | #categories | |:------:|:------:|:------:|:------:|:-------------:| | All | 56.188 | 83.381 | 66.615 | 133 | | Things | 62.191 | 84.481 | 73.148 | 80 | | Stuff | 47.127 | 81.719 | 56.755 | 53 | [02/12 12:03:08] d2.evaluation.coco_evaluation INFO: Preparing results for COCO format ... [02/12 12:03:08] d2.evaluation.coco_evaluation INFO: Saving results to output/Sam_query/ConvNext-L_vit_b_1x_final/convnext_large_eval_coco/inference/coco_instances_results.json [02/12 12:03:09] d2.evaluation.coco_evaluation INFO: Evaluating predictions with unofficial COCO API... [02/12 12:03:10] d2.evaluation.fast_eval_api INFO: Evaluate annotation type *bbox* [02/12 12:03:18] d2.evaluation.fast_eval_api INFO: COCOeval_opt.evaluate() finished in 7.78 seconds. [02/12 12:03:18] d2.evaluation.fast_eval_api INFO: Accumulating evaluation results... [02/12 12:03:18] d2.evaluation.fast_eval_api INFO: COCOeval_opt.accumulate() finished in 0.63 seconds. [02/12 12:03:18] d2.evaluation.coco_evaluation INFO: Evaluation results for bbox: | AP | AP50 | AP75 | APs | APm | APl | |:-----:|:------:|:------:|:-----:|:-----:|:-----:| | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | [02/12 12:03:18] d2.evaluation.coco_evaluation INFO: Per-category bbox AP: | category | AP | category | AP | category | AP | |:--------------------------------------------------------------------------------------------------|:------|:---------------------------------------------------------------------|:------|:-------------------------------|:------| | person,child,girl,boy,woman,man,people,children,girls,boys,women,men,lady,guy,ladies,guys,clothes | 0.000 | bicycle,bicycles,bike,bikes | 0.000 | car,cars | 0.000 | | motorcycle,motorcycles | 0.000 | airplane,airplanes | 0.000 | bus,buses | 0.000 | | train,trains,locomotive,locomotives,freight train | 0.000 | truck,trucks | 0.000 | boat,boats | 0.000 | | traffic light | 0.000 | fire hydrant | 0.000 | stop sign | 0.000 | | parking meter | 0.000 | bench,benches | 0.000 | bird,birds | 0.000 | | cat,cats,kitties,kitty | 0.000 | dog,dogs,puppy,puppies | 0.000 | horse,horses,foal | 0.000 | | sheep | 0.000 | cow,cows,calf | 0.000 | elephant,elephants | 0.000 | | bear,bears | 0.000 | zebra,zebras | 0.000 | giraffe,giraffes | 0.000 | | backpack,backpacks | 0.000 | umbrella,umbrellas | 0.000 | handbag,handbags | 0.000 | | tie | 0.000 | suitcase,suitcases | 0.000 | frisbee | 0.000 | | skis | 0.000 | snowboard | 0.000 | sports ball | 0.000 | | kite,kites | 0.000 | baseball bat | 0.000 | baseball glove | 0.000 | | skateboard | 0.000 | surfboard | 0.000 | tennis racket | 0.000 | | bottle,bottles,water bottle | 0.000 | wine glass,wine glasses,wineglass | 0.000 | cup,cups,water cup,water glass | 0.000 | | fork,forks | 0.000 | knife,knives | 0.000 | spoon,spoons | 0.000 | | bowl,bowls | 0.000 | banana,bananas | 0.000 | apple,apples,apple fruit | 0.000 | | sandwich,sandwiches | 0.000 | orange fruit | 0.000 | broccoli | 0.000 | | carrot,carrots | 0.000 | hot dog | 0.000 | pizza | 0.000 | | donut,donuts | 0.000 | cake,cakes | 0.000 | chair,chairs | 0.000 | | couch,sofa,sofas | 0.000 | potted plant,potted plants,pottedplant,pottedplants,planter,planters | 0.000 | bed,beds | 0.000 | | dining table,dining tables,diningtable,diningtables,plate,plates,diningtable tablecloth | 0.000 | toilet | 0.000 | tv | 0.000 | | laptop | 0.000 | mouse | 0.000 | tv remote,remote control | 0.000 | | keyboard | 0.000 | cell phone,mobile | 0.000 | microwave | 0.000 | | oven,ovens | 0.000 | toaster | 0.000 | sink,sinks | 0.000 | | refrigerator,fridge | 0.000 | book,books | 0.000 | clock | 0.000 | | vase,vases | 0.000 | scissor,scissors | 0.000 | teddy bear,teddy bears | 0.000 | | hair drier | 0.000 | toothbrush,toothbrushes | 0.000 | | | [02/12 12:03:25] d2.evaluation.fast_eval_api INFO: Evaluate annotation type *segm* [02/12 12:03:35] d2.evaluation.fast_eval_api INFO: COCOeval_opt.evaluate() finished in 9.70 seconds. [02/12 12:03:35] d2.evaluation.fast_eval_api INFO: Accumulating evaluation results... [02/12 12:03:36] d2.evaluation.fast_eval_api INFO: COCOeval_opt.accumulate() finished in 0.72 seconds. [02/12 12:03:36] d2.evaluation.coco_evaluation INFO: Evaluation results for segm: | AP | AP50 | AP75 | APs | APm | APl | |:------:|:------:|:------:|:------:|:------:|:------:| | 47.290 | 71.339 | 51.152 | 27.311 | 52.209 | 68.342 | [02/12 12:03:36] d2.evaluation.coco_evaluation INFO: Per-category segm AP: | category | AP | category | AP | category | AP | |:--------------------------------------------------------------------------------------------------|:-------|:---------------------------------------------------------------------|:-------|:-------------------------------|:-------| | person,child,girl,boy,woman,man,people,children,girls,boys,women,men,lady,guy,ladies,guys,clothes | 52.342 | bicycle,bicycles,bike,bikes | 25.596 | car,cars | 47.226 | | motorcycle,motorcycles | 43.427 | airplane,airplanes | 58.966 | bus,buses | 71.126 | | train,trains,locomotive,locomotives,freight train | 74.670 | truck,trucks | 46.036 | boat,boats | 33.964 | | traffic light | 31.629 | fire hydrant | 70.799 | stop sign | 68.531 | | parking meter | 49.607 | bench,benches | 29.598 | bird,birds | 37.686 | | cat,cats,kitties,kitty | 77.126 | dog,dogs,puppy,puppies | 70.287 | horse,horses,foal | 50.902 | | sheep | 53.474 | cow,cows,calf | 57.530 | elephant,elephants | 68.073 | | bear,bears | 78.090 | zebra,zebras | 66.410 | giraffe,giraffes | 61.348 | | backpack,backpacks | 29.254 | umbrella,umbrellas | 55.789 | handbag,handbags | 25.254 | | tie | 44.500 | suitcase,suitcases | 53.385 | frisbee | 71.315 | | skis | 8.917 | snowboard | 33.691 | sports ball | 51.342 | | kite,kites | 38.492 | baseball bat | 41.571 | baseball glove | 51.752 | | skateboard | 42.182 | surfboard | 43.467 | tennis racket | 62.658 | | bottle,bottles,water bottle | 45.635 | wine glass,wine glasses,wineglass | 38.381 | cup,cups,water cup,water glass | 51.127 | | fork,forks | 27.259 | knife,knives | 20.926 | spoon,spoons | 27.022 | | bowl,bowls | 41.504 | banana,bananas | 28.931 | apple,apples,apple fruit | 28.093 | | sandwich,sandwiches | 55.295 | orange fruit | 35.677 | broccoli | 24.864 | | carrot,carrots | 27.704 | hot dog | 42.294 | pizza | 58.544 | | donut,donuts | 61.060 | cake,cakes | 51.668 | chair,chairs | 30.132 | | couch,sofa,sofas | 47.580 | potted plant,potted plants,pottedplant,pottedplants,planter,planters | 24.471 | bed,beds | 44.906 | | dining table,dining tables,diningtable,diningtables,plate,plates,diningtable tablecloth | 15.974 | toilet | 68.729 | tv | 62.676 | | laptop | 67.821 | mouse | 62.141 | tv remote,remote control | 42.262 | | keyboard | 58.320 | cell phone,mobile | 48.532 | microwave | 69.753 | | oven,ovens | 40.359 | toaster | 61.255 | sink,sinks | 43.272 | | refrigerator,fridge | 70.729 | book,books | 19.716 | clock | 58.404 | | vase,vases | 45.450 | scissor,scissors | 33.059 | teddy bear,teddy bears | 59.660 | | hair drier | 36.110 | toothbrush,toothbrushes | 27.923 | | | [02/12 12:03:37] d2.evaluation.sem_seg_evaluation INFO: OrderedDict([('sem_seg', {'mIoU': 65.54464473436157, 'fwIoU': 71.57639835934853, 'IoU-person,child,girl,boy,woman,man,people,children,girls,boys,women,men,lady,guy,ladies,guys,clothes': 89.37937707593701, 'BoundaryIoU-person,child,girl,boy,woman,man,people,children,girls,boys,women,men,lady,guy,ladies,guys,clothes': 76.6162653489518, 'min(IoU, B-Iou)-person,child,girl,boy,woman,man,people,children,girls,boys,women,men,lady,guy,ladies,guys,clothes': 76.6162653489518, 'IoU-bicycle,bicycles,bike,bikes': 78.29434073375242, 'BoundaryIoU-bicycle,bicycles,bike,bikes': 1.3149294526044841, 'min(IoU, B-Iou)-bicycle,bicycles,bike,bikes': 1.3149294526044841, 'IoU-car,cars': 68.48286136502873, 'BoundaryIoU-car,cars': 0.0, 'min(IoU, B-Iou)-car,cars': 0.0, 'IoU-motorcycle,motorcycles': 89.54218797701417, 'BoundaryIoU-motorcycle,motorcycles': 0.0, 'min(IoU, B-Iou)-motorcycle,motorcycles': 0.0, 'IoU-airplane,airplanes': 87.1980702561869, 'BoundaryIoU-airplane,airplanes': 0.0, 'min(IoU, B-Iou)-airplane,airplanes': 0.0, 'IoU-bus,buses': 87.3847204187622, 'BoundaryIoU-bus,buses': 0.0, 'min(IoU, B-Iou)-bus,buses': 0.0, 'IoU-train,trains,locomotive,locomotives,freight train': 86.76166233350929, 'BoundaryIoU-train,trains,locomotive,locomotives,freight train': 0.0, 'min(IoU, B-Iou)-train,trains,locomotive,locomotives,freight train': 0.0, 'IoU-truck,trucks': 65.3043822390026, 'BoundaryIoU-truck,trucks': 0.0, 'min(IoU, B-Iou)-truck,trucks': 0.0, 'IoU-boat,boats': 74.43712979304206, 'BoundaryIoU-boat,boats': 0.0, 'min(IoU, B-Iou)-boat,boats': 0.0, 'IoU-traffic light': 78.43228090791338, 'BoundaryIoU-traffic light': 0.0, 'min(IoU, B-Iou)-traffic light': 0.0, 'IoU-fire hydrant': 91.86150399647119, 'BoundaryIoU-fire hydrant': 0.0, 'min(IoU, B-Iou)-fire hydrant': 0.0, 'IoU-stop sign': 95.42052890509322, 'BoundaryIoU-stop sign': 0.0, 'min(IoU, B-Iou)-stop sign': 0.0, 'IoU-parking meter': 83.66547623058523, 'BoundaryIoU-parking meter': 0.0, 'min(IoU, B-Iou)-parking meter': 0.0, 'IoU-bench,benches': 58.88436056279539, 'BoundaryIoU-bench,benches': 0.0, 'min(IoU, B-Iou)-bench,benches': 0.0, 'IoU-bird,birds': 77.98998436661087, 'BoundaryIoU-bird,birds': 0.0, 'min(IoU, B-Iou)-bird,birds': 0.0, 'IoU-cat,cats,kitties,kitty': 91.13582935119655, 'BoundaryIoU-cat,cats,kitties,kitty': 0.0, 'min(IoU, B-Iou)-cat,cats,kitties,kitty': 0.0, 'IoU-dog,dogs,puppy,puppies': 85.42513039620691, 'BoundaryIoU-dog,dogs,puppy,puppies': 0.0, 'min(IoU, B-Iou)-dog,dogs,puppy,puppies': 0.0, 'IoU-horse,horses,foal': 88.80275585552728, 'BoundaryIoU-horse,horses,foal': 0.0, 'min(IoU, B-Iou)-horse,horses,foal': 0.0, 'IoU-sheep': 92.30214478854644, 'BoundaryIoU-sheep': 0.0, 'min(IoU, B-Iou)-sheep': 0.0, 'IoU-cow,cows,calf': 89.0065395766596, 'BoundaryIoU-cow,cows,calf': 0.0, 'min(IoU, B-Iou)-cow,cows,calf': 0.0, 'IoU-elephant,elephants': 93.40493776825981, 'BoundaryIoU-elephant,elephants': 0.0, 'min(IoU, B-Iou)-elephant,elephants': 0.0, 'IoU-bear,bears': 93.39208661138973, 'BoundaryIoU-bear,bears': 0.0, 'min(IoU, B-Iou)-bear,bears': 0.0, 'IoU-zebra,zebras': 93.0857544099773, 'BoundaryIoU-zebra,zebras': 0.0, 'min(IoU, B-Iou)-zebra,zebras': 0.0, 'IoU-giraffe,giraffes': 89.38013706534281, 'BoundaryIoU-giraffe,giraffes': 0.0, 'min(IoU, B-Iou)-giraffe,giraffes': 0.0, 'IoU-backpack,backpacks': 52.934331017063926, 'BoundaryIoU-backpack,backpacks': 0.0, 'min(IoU, B-Iou)-backpack,backpacks': 0.0, 'IoU-umbrella,umbrellas': 86.09331511022843, 'BoundaryIoU-umbrella,umbrellas': 0.0, 'min(IoU, B-Iou)-umbrella,umbrellas': 0.0, 'IoU-handbag,handbags': 49.47513854307869, 'BoundaryIoU-handbag,handbags': 0.0, 'min(IoU, B-Iou)-handbag,handbags': 0.0, 'IoU-tie': 76.06486381608487, 'BoundaryIoU-tie': 0.0, 'min(IoU, B-Iou)-tie': 0.0, 'IoU-suitcase,suitcases': 85.27128124799258, 'BoundaryIoU-suitcase,suitcases': 0.0, 'min(IoU, B-Iou)-suitcase,suitcases': 0.0, 'IoU-frisbee': 76.22371417585993, 'BoundaryIoU-frisbee': 0.0, 'min(IoU, B-Iou)-frisbee': 0.0, 'IoU-skis': 57.323389215945895, 'BoundaryIoU-skis': 0.0, 'min(IoU, B-Iou)-skis': 0.0, 'IoU-snowboard': 70.42242442808767, 'BoundaryIoU-snowboard': 0.0, 'min(IoU, B-Iou)-snowboard': 0.0, 'IoU-sports ball': 77.64805094070746, 'BoundaryIoU-sports ball': 0.0, 'min(IoU, B-Iou)-sports ball': 0.0, 'IoU-kite,kites': 59.71229400673366, 'BoundaryIoU-kite,kites': 0.0, 'min(IoU, B-Iou)-kite,kites': 0.0, 'IoU-baseball bat': 50.96897936922961, 'BoundaryIoU-baseball bat': 0.0, 'min(IoU, B-Iou)-baseball bat': 0.0, 'IoU-baseball glove': 76.20137232120949, 'BoundaryIoU-baseball glove': 0.0, 'min(IoU, B-Iou)-baseball glove': 0.0, 'IoU-skateboard': 76.91999527577654, 'BoundaryIoU-skateboard': 0.0, 'min(IoU, B-Iou)-skateboard': 0.0, 'IoU-surfboard': 81.92105288440753, 'BoundaryIoU-surfboard': 0.0, 'min(IoU, B-Iou)-surfboard': 0.0, 'IoU-tennis racket': 89.50291894543412, 'BoundaryIoU-tennis racket': 0.0, 'min(IoU, B-Iou)-tennis racket': 0.0, 'IoU-bottle,bottles,water bottle': 72.1608351534412, 'BoundaryIoU-bottle,bottles,water bottle': 0.0, 'min(IoU, B-Iou)-bottle,bottles,water bottle': 0.0, 'IoU-wine glass,wine glasses,wineglass': 80.01614345260379, 'BoundaryIoU-wine glass,wine glasses,wineglass': 0.0, 'min(IoU, B-Iou)-wine glass,wine glasses,wineglass': 0.0, 'IoU-cup,cups,water cup,water glass': 71.84368373304929, 'BoundaryIoU-cup,cups,water cup,water glass': 0.0, 'min(IoU, B-Iou)-cup,cups,water cup,water glass': 0.0, 'IoU-fork,forks': 68.37020125083734, 'BoundaryIoU-fork,forks': 0.0, 'min(IoU, B-Iou)-fork,forks': 0.0, 'IoU-knife,knives': 55.44521578354142, 'BoundaryIoU-knife,knives': 0.0, 'min(IoU, B-Iou)-knife,knives': 0.0, 'IoU-spoon,spoons': 55.06670372833602, 'BoundaryIoU-spoon,spoons': 0.0, 'min(IoU, B-Iou)-spoon,spoons': 0.0, 'IoU-bowl,bowls': 60.10518298753534, 'BoundaryIoU-bowl,bowls': 0.0, 'min(IoU, B-Iou)-bowl,bowls': 0.0, 'IoU-banana,bananas': 84.64161431918497, 'BoundaryIoU-banana,bananas': 0.0, 'min(IoU, B-Iou)-banana,bananas': 0.0, 'IoU-apple,apples,apple fruit': 60.22352068082204, 'BoundaryIoU-apple,apples,apple fruit': 0.0, 'min(IoU, B-Iou)-apple,apples,apple fruit': 0.0, 'IoU-sandwich,sandwiches': 72.33903272981296, 'BoundaryIoU-sandwich,sandwiches': 0.0, 'min(IoU, B-Iou)-sandwich,sandwiches': 0.0, 'IoU-orange fruit': 81.38375943058931, 'BoundaryIoU-orange fruit': 0.0, 'min(IoU, B-Iou)-orange fruit': 0.0, 'IoU-broccoli': 69.89920539465335, 'BoundaryIoU-broccoli': 0.0, 'min(IoU, B-Iou)-broccoli': 0.0, 'IoU-carrot,carrots': 63.90777270508513, 'BoundaryIoU-carrot,carrots': 0.0, 'min(IoU, B-Iou)-carrot,carrots': 0.0, 'IoU-hot dog': 59.671452408372005, 'BoundaryIoU-hot dog': 0.0, 'min(IoU, B-Iou)-hot dog': 0.0, 'IoU-pizza': 89.93980227424827, 'BoundaryIoU-pizza': 0.0, 'min(IoU, B-Iou)-pizza': 0.0, 'IoU-donut,donuts': 73.08417085427136, 'BoundaryIoU-donut,donuts': 0.0, 'min(IoU, B-Iou)-donut,donuts': 0.0, 'IoU-cake,cakes': 77.13555287220112, 'BoundaryIoU-cake,cakes': 0.0, 'min(IoU, B-Iou)-cake,cakes': 0.0, 'IoU-chair,chairs': 62.09191270701736, 'BoundaryIoU-chair,chairs': 0.0, 'min(IoU, B-Iou)-chair,chairs': 0.0, 'IoU-couch,sofa,sofas': 72.01835743728483, 'BoundaryIoU-couch,sofa,sofas': 0.0, 'min(IoU, B-Iou)-couch,sofa,sofas': 0.0, 'IoU-potted plant,potted plants,pottedplant,pottedplants,planter,planters': 41.119920600791026, 'BoundaryIoU-potted plant,potted plants,pottedplant,pottedplants,planter,planters': 0.0, 'min(IoU, B-Iou)-potted plant,potted plants,pottedplant,pottedplants,planter,planters': 0.0, 'IoU-bed,beds': 72.62356048530269, 'BoundaryIoU-bed,beds': 0.0, 'min(IoU, B-Iou)-bed,beds': 0.0, 'IoU-dining table,dining tables,diningtable,diningtables,plate,plates,diningtable tablecloth': 54.672776992141735, 'BoundaryIoU-dining table,dining tables,diningtable,diningtables,plate,plates,diningtable tablecloth': 0.0, 'min(IoU, B-Iou)-dining table,dining tables,diningtable,diningtables,plate,plates,diningtable tablecloth': 0.0, 'IoU-toilet': 88.5706104112324, 'BoundaryIoU-toilet': 0.0, 'min(IoU, B-Iou)-toilet': 0.0, 'IoU-tv': 76.78846513993336, 'BoundaryIoU-tv': 0.0, 'min(IoU, B-Iou)-tv': 0.0, 'IoU-laptop': 76.81213501513942, 'BoundaryIoU-laptop': 0.0, 'min(IoU, B-Iou)-laptop': 0.0, 'IoU-mouse': 79.65590201955811, 'BoundaryIoU-mouse': 0.0, 'min(IoU, B-Iou)-mouse': 0.0, 'IoU-tv remote,remote control': 72.66895692887077, 'BoundaryIoU-tv remote,remote control': 0.0, 'min(IoU, B-Iou)-tv remote,remote control': 0.0, 'IoU-keyboard': 70.73950924923061, 'BoundaryIoU-keyboard': 0.0, 'min(IoU, B-Iou)-keyboard': 0.0, 'IoU-cell phone,mobile': 83.6433826081709, 'BoundaryIoU-cell phone,mobile': 0.0, 'min(IoU, B-Iou)-cell phone,mobile': 0.0, 'IoU-microwave': 87.6178859556577, 'BoundaryIoU-microwave': 0.0, 'min(IoU, B-Iou)-microwave': 0.0, 'IoU-oven,ovens': 73.44514185100454, 'BoundaryIoU-oven,ovens': 0.0, 'min(IoU, B-Iou)-oven,ovens': 0.0, 'IoU-toaster': 85.55718000802163, 'BoundaryIoU-toaster': 0.0, 'min(IoU, B-Iou)-toaster': 0.0, 'IoU-sink,sinks': 66.92819536975007, 'BoundaryIoU-sink,sinks': 0.0, 'min(IoU, B-Iou)-sink,sinks': 0.0, 'IoU-refrigerator,fridge': 82.79459545827841, 'BoundaryIoU-refrigerator,fridge': 0.0, 'min(IoU, B-Iou)-refrigerator,fridge': 0.0, 'IoU-book,books': 63.02938792924413, 'BoundaryIoU-book,books': 0.0, 'min(IoU, B-Iou)-book,books': 0.0, 'IoU-clock': 83.28582103510249, 'BoundaryIoU-clock': 0.0, 'min(IoU, B-Iou)-clock': 0.0, 'IoU-vase,vases': 75.56707384523, 'BoundaryIoU-vase,vases': 0.0, 'min(IoU, B-Iou)-vase,vases': 0.0, 'IoU-scissor,scissors': 89.0903884085578, 'BoundaryIoU-scissor,scissors': 0.0, 'min(IoU, B-Iou)-scissor,scissors': 0.0, 'IoU-teddy bear,teddy bears': 85.13363113074045, 'BoundaryIoU-teddy bear,teddy bears': 0.0, 'min(IoU, B-Iou)-teddy bear,teddy bears': 0.0, 'IoU-hair drier': 59.58458605985576, 'BoundaryIoU-hair drier': 0.0, 'min(IoU, B-Iou)-hair drier': 0.0, 'IoU-toothbrush,toothbrushes': 68.43033023934778, 'BoundaryIoU-toothbrush,toothbrushes': 0.0, 'min(IoU, B-Iou)-toothbrush,toothbrushes': 0.0, 'IoU-banner,banners': 27.73204404689549, 'BoundaryIoU-banner,banners': 0.0, 'min(IoU, B-Iou)-banner,banners': 0.0, 'IoU-blanket,blankets': 20.059466550647354, 'BoundaryIoU-blanket,blankets': 0.0, 'min(IoU, B-Iou)-blanket,blankets': 0.0, 'IoU-bridge': 38.47671129350529, 'BoundaryIoU-bridge': 0.0, 'min(IoU, B-Iou)-bridge': 0.0, 'IoU-cardboard': 53.26154209864589, 'BoundaryIoU-cardboard': 0.0, 'min(IoU, B-Iou)-cardboard': 0.0, 'IoU-counter': 31.14195090791615, 'BoundaryIoU-counter': 0.0, 'min(IoU, B-Iou)-counter': 0.0, 'IoU-curtain,curtains': 71.94111575557193, 'BoundaryIoU-curtain,curtains': 0.0, 'min(IoU, B-Iou)-curtain,curtains': 0.0, 'IoU-door,doors': 46.9665282967004, 'BoundaryIoU-door,doors': 0.0, 'min(IoU, B-Iou)-door,doors': 0.0, 'IoU-wood floor': 66.4467108432618, 'BoundaryIoU-wood floor': 0.0, 'min(IoU, B-Iou)-wood floor': 0.0, 'IoU-flower,flowers': 49.450717391359724, 'BoundaryIoU-flower,flowers': 0.0, 'min(IoU, B-Iou)-flower,flowers': 0.0, 'IoU-fruit,fruits': 42.16557802315922, 'BoundaryIoU-fruit,fruits': 0.0, 'min(IoU, B-Iou)-fruit,fruits': 0.0, 'IoU-gravel': 25.698814622852172, 'BoundaryIoU-gravel': 0.0, 'min(IoU, B-Iou)-gravel': 0.0, 'IoU-house': 24.727186907901714, 'BoundaryIoU-house': 0.0, 'min(IoU, B-Iou)-house': 0.0, 'IoU-lamp,bulb,lamps,bulbs': 44.43249547054291, 'BoundaryIoU-lamp,bulb,lamps,bulbs': 0.0, 'min(IoU, B-Iou)-lamp,bulb,lamps,bulbs': 0.0, 'IoU-mirror': 59.63235560206518, 'BoundaryIoU-mirror': 0.0, 'min(IoU, B-Iou)-mirror': 0.0, 'IoU-tennis net': 30.466641100666898, 'BoundaryIoU-tennis net': 0.0, 'min(IoU, B-Iou)-tennis net': 0.0, 'IoU-pillow,pillows': 16.488204618240538, 'BoundaryIoU-pillow,pillows': 0.0, 'min(IoU, B-Iou)-pillow,pillows': 0.0, 'IoU-platform': 29.77833145174571, 'BoundaryIoU-platform': 0.0, 'min(IoU, B-Iou)-platform': 0.0, 'IoU-playingfield,tennis court,baseball field,soccer field,tennis field': 70.56007104340422, 'BoundaryIoU-playingfield,tennis court,baseball field,soccer field,tennis field': 0.0, 'min(IoU, B-Iou)-playingfield,tennis court,baseball field,soccer field,tennis field': 0.0, 'IoU-railroad': 61.415363894442585, 'BoundaryIoU-railroad': 0.0, 'min(IoU, B-Iou)-railroad': 0.0, 'IoU-river': 48.47641368497621, 'BoundaryIoU-river': 0.0, 'min(IoU, B-Iou)-river': 0.0, 'IoU-road': 66.11986062794041, 'BoundaryIoU-road': 0.0, 'min(IoU, B-Iou)-road': 0.0, 'IoU-roof': 17.364927118791265, 'BoundaryIoU-roof': 0.0, 'min(IoU, B-Iou)-roof': 0.0, 'IoU-sand': 65.2461007691543, 'BoundaryIoU-sand': 0.0, 'min(IoU, B-Iou)-sand': 0.0, 'IoU-sea,sea wave,wave,waves': 85.46042390092767, 'BoundaryIoU-sea,sea wave,wave,waves': 0.0, 'min(IoU, B-Iou)-sea,sea wave,wave,waves': 0.0, 'IoU-shelf': 38.88592393999288, 'BoundaryIoU-shelf': 0.0, 'min(IoU, B-Iou)-shelf': 0.0, 'IoU-snow': 90.130914145584, 'BoundaryIoU-snow': 0.0, 'min(IoU, B-Iou)-snow': 0.0, 'IoU-stairs': 31.636601830488242, 'BoundaryIoU-stairs': 0.0, 'min(IoU, B-Iou)-stairs': 0.0, 'IoU-tent': 10.936892004831817, 'BoundaryIoU-tent': 0.0, 'min(IoU, B-Iou)-tent': 0.0, 'IoU-towel': 44.713284244502724, 'BoundaryIoU-towel': 0.0, 'min(IoU, B-Iou)-towel': 0.0, 'IoU-brick wall': 47.385988948585336, 'BoundaryIoU-brick wall': 0.0, 'min(IoU, B-Iou)-brick wall': 0.0, 'IoU-stone wall': 28.48416007632551, 'BoundaryIoU-stone wall': 0.0, 'min(IoU, B-Iou)-stone wall': 0.0, 'IoU-tile wall': 75.65547069100307, 'BoundaryIoU-tile wall': 0.0, 'min(IoU, B-Iou)-tile wall': 0.0, 'IoU-wood wall': 40.64569410588456, 'BoundaryIoU-wood wall': 0.0, 'min(IoU, B-Iou)-wood wall': 0.0, 'IoU-water': 33.734311286671065, 'BoundaryIoU-water': 0.0, 'min(IoU, B-Iou)-water': 0.0, 'IoU-window blind': 53.903148124705105, 'BoundaryIoU-window blind': 0.0, 'min(IoU, B-Iou)-window blind': 0.0, 'IoU-window': 46.754393735552455, 'BoundaryIoU-window': 0.0, 'min(IoU, B-Iou)-window': 0.0, 'IoU-tree,trees,palm tree,bushes': 81.88210449109312, 'BoundaryIoU-tree,trees,palm tree,bushes': 0.0, 'min(IoU, B-Iou)-tree,trees,palm tree,bushes': 0.0, 'IoU-fence,fences': 52.97223600655895, 'BoundaryIoU-fence,fences': 0.0, 'min(IoU, B-Iou)-fence,fences': 0.0, 'IoU-ceiling': 69.7750879315761, 'BoundaryIoU-ceiling': 0.0, 'min(IoU, B-Iou)-ceiling': 0.0, 'IoU-sky,clouds': 93.75259613197646, 'BoundaryIoU-sky,clouds': 0.0, 'min(IoU, B-Iou)-sky,clouds': 0.0, 'IoU-cabinet,cabinets': 63.64918492940729, 'BoundaryIoU-cabinet,cabinets': 0.0, 'min(IoU, B-Iou)-cabinet,cabinets': 0.0, 'IoU-table': 39.34201960582923, 'BoundaryIoU-table': 0.0, 'min(IoU, B-Iou)-table': 0.0, 'IoU-floor,flooring,tile floor': 50.85627115662117, 'BoundaryIoU-floor,flooring,tile floor': 0.0, 'min(IoU, B-Iou)-floor,flooring,tile floor': 0.0, 'IoU-pavement': 58.68148692066324, 'BoundaryIoU-pavement': 0.0, 'min(IoU, B-Iou)-pavement': 0.0, 'IoU-mountain,mountains': 55.92346166385443, 'BoundaryIoU-mountain,mountains': 0.0, 'min(IoU, B-Iou)-mountain,mountains': 0.0, 'IoU-grass': 74.69818110609455, 'BoundaryIoU-grass': 0.0, 'min(IoU, B-Iou)-grass': 0.0, 'IoU-dirt': 43.91287602143247, 'BoundaryIoU-dirt': 0.0, 'min(IoU, B-Iou)-dirt': 0.0, 'IoU-paper': 37.48089335110244, 'BoundaryIoU-paper': 0.0, 'min(IoU, B-Iou)-paper': 0.0, 'IoU-food': 37.70257557604622, 'BoundaryIoU-food': 0.0, 'min(IoU, B-Iou)-food': 0.0, 'IoU-building,buildings': 59.86715288312672, 'BoundaryIoU-building,buildings': 0.0, 'min(IoU, B-Iou)-building,buildings': 0.0, 'IoU-rock': 65.30038436668092, 'BoundaryIoU-rock': 0.0, 'min(IoU, B-Iou)-rock': 0.0, 'IoU-wall,walls': 66.40987821017364, 'BoundaryIoU-wall,walls': 0.0, 'min(IoU, B-Iou)-wall,walls': 0.0, 'IoU-rug': 66.09415923570945, 'BoundaryIoU-rug': 0.0, 'min(IoU, B-Iou)-rug': 0.0, 'mACC': 78.56816037190578, 'pACC': 82.15159663018726, 'ACC-person,child,girl,boy,woman,man,people,children,girls,boys,women,men,lady,guy,ladies,guys,clothes': 93.85907813846461, 'ACC-bicycle,bicycles,bike,bikes': 90.19122444211783, 'ACC-car,cars': 83.24082853367494, 'ACC-motorcycle,motorcycles': 94.2400469732534, 'ACC-airplane,airplanes': 92.56936255547136, 'ACC-bus,buses': 93.77617991309157, 'ACC-train,trains,locomotive,locomotives,freight train': 95.46155236393766, 'ACC-truck,trucks': 77.09706406025711, 'ACC-boat,boats': 87.96173248417014, 'ACC-traffic light': 91.19661661903163, 'ACC-fire hydrant': 96.04061070853635, 'ACC-stop sign': 98.09058431419531, 'ACC-parking meter': 90.11167457430305, 'ACC-bench,benches': 76.54145342591606, 'ACC-bird,birds': 84.54956516528856, 'ACC-cat,cats,kitties,kitty': 95.63715442731788, 'ACC-dog,dogs,puppy,puppies': 89.39909007102928, 'ACC-horse,horses,foal': 95.07069212767702, 'ACC-sheep': 96.04613604834903, 'ACC-cow,cows,calf': 92.9092546819837, 'ACC-elephant,elephants': 96.78311970730047, 'ACC-bear,bears': 96.30316837526252, 'ACC-zebra,zebras': 96.13837580271428, 'ACC-giraffe,giraffes': 94.50566955389354, 'ACC-backpack,backpacks': 76.04337385298989, 'ACC-umbrella,umbrellas': 90.62249237189334, 'ACC-handbag,handbags': 69.79875102929753, 'ACC-tie': 83.63667941682063, 'ACC-suitcase,suitcases': 93.28101325488835, 'ACC-frisbee': 93.71636363636362, 'ACC-skis': 76.70436154372958, 'ACC-snowboard': 83.3244348656658, 'ACC-sports ball': 88.99174083377265, 'ACC-kite,kites': 86.44559890661692, 'ACC-baseball bat': 83.32346837093257, 'ACC-baseball glove': 92.86367926907474, 'ACC-skateboard': 91.35265787217617, 'ACC-surfboard': 92.17246136529775, 'ACC-tennis racket': 94.51435283016026, 'ACC-bottle,bottles,water bottle': 87.1976714419804, 'ACC-wine glass,wine glasses,wineglass': 89.33346630160831, 'ACC-cup,cups,water cup,water glass': 86.85834918873395, 'ACC-fork,forks': 83.46878231954005, 'ACC-knife,knives': 65.15259764050707, 'ACC-spoon,spoons': 77.76236451744164, 'ACC-bowl,bowls': 68.82258608302261, 'ACC-banana,bananas': 91.8803525938325, 'ACC-apple,apples,apple fruit': 75.02840999959565, 'ACC-sandwich,sandwiches': 83.32458249675096, 'ACC-orange fruit': 86.46615843633437, 'ACC-broccoli': 86.98852015296991, 'ACC-carrot,carrots': 80.98542658494803, 'ACC-hot dog': 70.41956998243847, 'ACC-pizza': 94.8775015565372, 'ACC-donut,donuts': 85.48890241701548, 'ACC-cake,cakes': 88.21097591995476, 'ACC-chair,chairs': 77.01356152803002, 'ACC-couch,sofa,sofas': 82.43974098128623, 'ACC-potted plant,potted plants,pottedplant,pottedplants,planter,planters': 49.87061676925451, 'ACC-bed,beds': 82.44565016583269, 'ACC-dining table,dining tables,diningtable,diningtables,plate,plates,diningtable tablecloth': 82.96971499593288, 'ACC-toilet': 92.47662211446665, 'ACC-tv': 81.11882476426914, 'ACC-laptop': 95.0239672285556, 'ACC-mouse': 84.74400181812278, 'ACC-tv remote,remote control': 80.58102180896614, 'ACC-keyboard': 76.42397234455403, 'ACC-cell phone,mobile': 94.15953775649264, 'ACC-microwave': 95.42987832487822, 'ACC-oven,ovens': 90.0946376707638, 'ACC-toaster': 90.50075955603607, 'ACC-sink,sinks': 86.39510307290419, 'ACC-refrigerator,fridge': 93.66934129530358, 'ACC-book,books': 78.23054131293603, 'ACC-clock': 90.27953600187269, 'ACC-vase,vases': 86.59061103297108, 'ACC-scissor,scissors': 95.33509627303529, 'ACC-teddy bear,teddy bears': 91.41149067813188, 'ACC-hair drier': 86.30632169185665, 'ACC-toothbrush,toothbrushes': 86.3273106323836, 'ACC-banner,banners': 79.007559656964, 'ACC-blanket,blankets': 30.646887475912088, 'ACC-bridge': 60.251236756295526, 'ACC-cardboard': 64.86499927293879, 'ACC-counter': 63.63387904664758, 'ACC-curtain,curtains': 86.04158259670574, 'ACC-door,doors': 70.22324494210467, 'ACC-wood floor': 80.88612402236095, 'ACC-flower,flowers': 77.98416878594723, 'ACC-fruit,fruits': 69.39941479929905, 'ACC-gravel': 38.99372383995245, 'ACC-house': 27.46992734774144, 'ACC-lamp,bulb,lamps,bulbs': 63.80883225510087, 'ACC-mirror': 79.64903271810073, 'ACC-tennis net': 76.7503486286534, 'ACC-pillow,pillows': 37.118690155309096, 'ACC-platform': 43.42421100333129, 'ACC-playingfield,tennis court,baseball field,soccer field,tennis field': 92.03136585209748, 'ACC-railroad': 81.96098605838316, 'ACC-river': 58.9487291939952, 'ACC-road': 74.94295596837568, 'ACC-roof': 25.01151055099887, 'ACC-sand': 71.97181852871088, 'ACC-sea,sea wave,wave,waves': 92.67359708533715, 'ACC-shelf': 56.33175594261034, 'ACC-snow': 94.86752575103046, 'ACC-stairs': 59.4362002976193, 'ACC-tent': 15.207738247090264, 'ACC-towel': 54.41771418358671, 'ACC-brick wall': 64.43272480320164, 'ACC-stone wall': 36.49985764801018, 'ACC-tile wall': 87.05900865696465, 'ACC-wood wall': 51.195610926692346, 'ACC-water': 56.94731954973934, 'ACC-window blind': 68.76845021413031, 'ACC-window': 76.27023532599583, 'ACC-tree,trees,palm tree,bushes': 89.6036617708774, 'ACC-fence,fences': 71.13548259415109, 'ACC-ceiling': 86.67622324096583, 'ACC-sky,clouds': 96.28238938520607, 'ACC-cabinet,cabinets': 78.87720914720809, 'ACC-table': 46.607420117030536, 'ACC-floor,flooring,tile floor': 62.01135015994795, 'ACC-pavement': 78.7536755937974, 'ACC-mountain,mountains': 65.56877574717629, 'ACC-grass': 84.98664228601834, 'ACC-dirt': 58.92551500755299, 'ACC-paper': 51.39889306418467, 'ACC-food': 47.98381764791988, 'ACC-building,buildings': 72.25807845992246, 'ACC-rock': 85.06296347610177, 'ACC-wall,walls': 78.9886754187633, 'ACC-rug': 78.69984631974381})]) [02/12 12:03:37] d2.engine.defaults INFO: Evaluation results for openvocab_coco_2017_val_panoptic_with_sem_seg in csv format: [02/12 12:03:37] d2.evaluation.testing INFO: copypaste: Task: panoptic_seg [02/12 12:03:37] d2.evaluation.testing INFO: copypaste: PQ,SQ,RQ,PQ_th,SQ_th,RQ_th,PQ_st,SQ_st,RQ_st [02/12 12:03:37] d2.evaluation.testing INFO: copypaste: 56.1883,83.3805,66.6151,62.1912,84.4809,73.1477,47.1274,81.7195,56.7545 [02/12 12:03:37] d2.evaluation.testing INFO: copypaste: Task: bbox [02/12 12:03:37] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75,APs,APm,APl [02/12 12:03:37] d2.evaluation.testing INFO: copypaste: 0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 [02/12 12:03:37] d2.evaluation.testing INFO: copypaste: Task: segm [02/12 12:03:37] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75,APs,APm,APl [02/12 12:03:37] d2.evaluation.testing INFO: copypaste: 47.2903,71.3388,51.1516,27.3108,52.2092,68.3418 [02/12 12:03:37] d2.evaluation.testing INFO: copypaste: Task: sem_seg [02/12 12:03:37] d2.evaluation.testing INFO: copypaste: mIoU,fwIoU,mACC,pACC [02/12 12:03:37] d2.evaluation.testing INFO: copypaste: 65.5446,71.5764,78.5682,82.1516