| /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 : static | |
| loading dataset refcocog into memory... | |
| creating index... | |
| index created. | |
| DONE (t=6.52s) | |
| 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: 0:07:58 time: 3.1700 data: 0.9497 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 73.91 | |
| precision@0.5 = 84.77 | |
| precision@0.6 = 81.46 | |
| precision@0.7 = 75.50 | |
| precision@0.8 = 70.20 | |
| precision@0.9 = 37.09 | |
| overall IoU = 71.75 | |