| /home/chaeyun/.conda/envs/cris/lib/python3.9/site-packages/timm/models/layers/__init__.py:48: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers | |
| warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning) | |
| /home/chaeyun/.conda/envs/cris/lib/python3.9/site-packages/torch/functional.py:478: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:2894.) | |
| return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined] | |
| Image size: 480 | |
| loading dataset refcocog into memory... | |
| creating index... | |
| index created. | |
| DONE (t=6.57s) | |
| lavt_one | |
| Window size 12! | |
| Randomly initialize Multi-modal Swin Transformer weights. | |
| /home/chaeyun/.conda/envs/cris/lib/python3.9/site-packages/torchvision/transforms/functional.py:417: UserWarning: Argument 'interpolation' of type int is deprecated since 0.13 and will be removed in 0.15. Please use InterpolationMode enum. | |
| warnings.warn( | |
| /home/chaeyun/.conda/envs/cris/lib/python3.9/site-packages/torchvision/transforms/functional.py:417: UserWarning: Argument 'interpolation' of type int is deprecated since 0.13 and will be removed in 0.15. Please use InterpolationMode enum. | |
| warnings.warn( | |
| /home/chaeyun/.conda/envs/cris/lib/python3.9/site-packages/torchvision/transforms/functional.py:417: UserWarning: Argument 'interpolation' of type int is deprecated since 0.13 and will be removed in 0.15. Please use InterpolationMode enum. | |
| warnings.warn( | |
| /home/chaeyun/.conda/envs/cris/lib/python3.9/site-packages/torchvision/transforms/functional.py:417: UserWarning: Argument 'interpolation' of type int is deprecated since 0.13 and will be removed in 0.15. Please use InterpolationMode enum. | |
| warnings.warn( | |
| Test: [ 0/5023] eta: 4:35:29 time: 3.2908 data: 0.9735 max mem: 1021 | |
| Test: [ 100/5023] eta: 0:15:52 time: 0.1678 data: 0.0017 max mem: 1021 | |
| Test: [ 200/5023] eta: 0:14:13 time: 0.1593 data: 0.0017 max mem: 1021 | |
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| Test: [ 600/5023] eta: 0:12:24 time: 0.1698 data: 0.0017 max mem: 1021 | |
| Test: [ 700/5023] eta: 0:12:04 time: 0.1577 data: 0.0017 max mem: 1021 | |
| Test: [ 800/5023] eta: 0:11:47 time: 0.1659 data: 0.0016 max mem: 1021 | |
| Test: [ 900/5023] eta: 0:11:30 time: 0.1665 data: 0.0017 max mem: 1021 | |
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| Test: [2600/5023] eta: 0:06:40 time: 0.1626 data: 0.0017 max mem: 1021 | |
| Test: [2700/5023] eta: 0:06:23 time: 0.1672 data: 0.0019 max mem: 1021 | |
| Test: [2800/5023] eta: 0:06:07 time: 0.1666 data: 0.0019 max mem: 1021 | |
| Test: [2900/5023] eta: 0:05:50 time: 0.1693 data: 0.0016 max mem: 1021 | |
| Test: [3000/5023] eta: 0:05:33 time: 0.1656 data: 0.0016 max mem: 1021 | |
| Test: [3100/5023] eta: 0:05:17 time: 0.1689 data: 0.0016 max mem: 1021 | |
| Test: [3200/5023] eta: 0:05:00 time: 0.1612 data: 0.0016 max mem: 1021 | |
| Test: [3300/5023] eta: 0:04:43 time: 0.1610 data: 0.0016 max mem: 1021 | |
| Test: [3400/5023] eta: 0:04:27 time: 0.1450 data: 0.0016 max mem: 1021 | |
| Test: [3500/5023] eta: 0:04:10 time: 0.1572 data: 0.0016 max mem: 1021 | |
| Test: [3600/5023] eta: 0:03:53 time: 0.1648 data: 0.0016 max mem: 1021 | |
| Test: [3700/5023] eta: 0:03:37 time: 0.1651 data: 0.0016 max mem: 1021 | |
| Test: [3800/5023] eta: 0:03:21 time: 0.1691 data: 0.0018 max mem: 1021 | |
| Test: [3900/5023] eta: 0:03:04 time: 0.1574 data: 0.0016 max mem: 1021 | |
| Test: [4000/5023] eta: 0:02:48 time: 0.1526 data: 0.0016 max mem: 1021 | |
| Test: [4100/5023] eta: 0:02:31 time: 0.1569 data: 0.0016 max mem: 1021 | |
| Test: [4200/5023] eta: 0:02:14 time: 0.1611 data: 0.0016 max mem: 1021 | |
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| Test: [4500/5023] eta: 0:01:25 time: 0.1529 data: 0.0016 max mem: 1021 | |
| Test: [4600/5023] eta: 0:01:09 time: 0.1493 data: 0.0016 max mem: 1021 | |
| Test: [4700/5023] eta: 0:00:52 time: 0.1653 data: 0.0016 max mem: 1021 | |
| Test: [4800/5023] eta: 0:00:36 time: 0.1614 data: 0.0016 max mem: 1021 | |
| Test: [4900/5023] eta: 0:00:20 time: 0.1609 data: 0.0016 max mem: 1021 | |
| Test: [5000/5023] eta: 0:00:03 time: 0.1655 data: 0.0016 max mem: 1021 | |
| Test: Total time: 0:13:40 | |
| Final results: | |
| Mean IoU is 65.23 | |
| [email protected] = 73.42 | |
| [email protected] = 68.66 | |
| [email protected] = 61.96 | |
| [email protected] = 51.37 | |
| [email protected] = 26.91 | |
| overall IoU = 63.21 | |
| /home/chaeyun/.conda/envs/cris/lib/python3.9/site-packages/timm/models/layers/__init__.py:48: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers | |
| warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning) | |
| /home/chaeyun/.conda/envs/cris/lib/python3.9/site-packages/torch/functional.py:478: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:2894.) | |
| return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined] | |
| Image size: 480 | |
| Easy & Hard Example Experiments - dataset : refcocog, split : motion | |
| loading dataset refcocog into memory... | |
| creating index... | |
| index created. | |
| DONE (t=6.31s) | |
| lavt_one | |
| Window size 12! | |
| Randomly initialize Multi-modal Swin Transformer weights. | |
| /home/chaeyun/.conda/envs/cris/lib/python3.9/site-packages/torchvision/transforms/functional.py:417: UserWarning: Argument 'interpolation' of type int is deprecated since 0.13 and will be removed in 0.15. Please use InterpolationMode enum. | |
| warnings.warn( | |
| /home/chaeyun/.conda/envs/cris/lib/python3.9/site-packages/torchvision/transforms/functional.py:417: UserWarning: Argument 'interpolation' of type int is deprecated since 0.13 and will be removed in 0.15. Please use InterpolationMode enum. | |
| warnings.warn( | |
| /home/chaeyun/.conda/envs/cris/lib/python3.9/site-packages/torchvision/transforms/functional.py:417: UserWarning: Argument 'interpolation' of type int is deprecated since 0.13 and will be removed in 0.15. Please use InterpolationMode enum. | |
| warnings.warn( | |
| /home/chaeyun/.conda/envs/cris/lib/python3.9/site-packages/torchvision/transforms/functional.py:417: UserWarning: Argument 'interpolation' of type int is deprecated since 0.13 and will be removed in 0.15. Please use InterpolationMode enum. | |
| warnings.warn( | |
| Test: [ 0/151] eta: 0:08:15 time: 3.2817 data: 1.0697 max mem: 1021 | |
| Test: [100/151] eta: 0:00:05 time: 0.0856 data: 0.0016 max mem: 1021 | |
| Test: Total time: 0:00:16 | |
| Final results: | |
| Mean IoU is 60.97 | |
| [email protected] = 69.54 | |
| [email protected] = 65.56 | |
| [email protected] = 58.94 | |
| [email protected] = 57.62 | |
| [email protected] = 33.11 | |
| overall IoU = 57.00 | |