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| number of paramaters trunk: 15.229 M
| number of paramaters mask branch: 1.609 M
| number of paramaters score branch: 0.526 M
| number of paramaters total: 17.364 M
| start
/usr/local/lib/python3.6/dist-packages/torch/nn/functional.py:3103: UserWarning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and now uses scale_factor directly, instead of relying on the computed output size. If you wish to restore the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.
warnings.warn("The default behavior for interpolate/upsample with float scale_factor changed "
| time pyramid: 1.1 ms
| time pre-process: 1.2 ms
| time trunk: 80.1 ms
| time mask branch: 1.5 ms
| time score branch: 2.7 ms
| time post processing: 25.2 ms
| time total: 111.8 ms
| done in 0.431 s
Segment Proposal Score: 1.000
: cannot connect to X server
The text was updated successfully, but these errors were encountered:
| number of paramaters trunk: 15.229 M
| number of paramaters mask branch: 1.609 M
| number of paramaters score branch: 0.526 M
| number of paramaters total: 17.364 M
| start
/usr/local/lib/python3.6/dist-packages/torch/nn/functional.py:3103: UserWarning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and now uses scale_factor directly, instead of relying on the computed output size. If you wish to restore the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.
warnings.warn("The default behavior for interpolate/upsample with float scale_factor changed "
| time pyramid: 1.1 ms
| time pre-process: 1.2 ms
| time trunk: 80.1 ms
| time mask branch: 1.5 ms
| time score branch: 2.7 ms
| time post processing: 25.2 ms
| time total: 111.8 ms
| done in 0.431 s
Segment Proposal Score: 1.000
: cannot connect to X server
The text was updated successfully, but these errors were encountered: