VRIS_vip / LAVT-RIS /logs /lavt_shbest_mostat.txt
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/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=6.33s)
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: 0:08:05 time: 3.2140 data: 0.9841 max mem: 1021
Test: [100/151] eta: 0:00:05 time: 0.0848 data: 0.0016 max mem: 1021
Test: Total time: 0:00:16
Final results:
Mean IoU is 54.43
[email protected] = 60.93
[email protected] = 58.94
[email protected] = 53.64
[email protected] = 49.01
[email protected] = 29.14
overall IoU = 48.27
/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=6.38s)
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: 0:07:47 time: 3.0938 data: 0.8532 max mem: 1021
Test: [100/151] eta: 0:00:05 time: 0.0853 data: 0.0016 max mem: 1021
Test: Total time: 0:00:15
Final results:
Mean IoU is 73.06
[email protected] = 82.12
[email protected] = 80.79
[email protected] = 75.50
[email protected] = 70.20
[email protected] = 39.07
overall IoU = 67.73