mmsegmentation/configs/bisenetv2/bisenetv2_fcn_4x4_1024x1024_160k_cityscapes.py
MengzhangLI f82e4d6fc9 [Feature] Support BiSeNetV2 (#804)
* BiSeNetV2 first commit

* BiSeNetV2 unittest

* remove pytest

* add pytest module

* fix ConvModule input name

* fix pytest error

* fix unittest

* refactor

* BiSeNetV2 Refactory

* fix docstrings and add some small changes

* use_sigmoid=False

* fix potential bugs about upsampling

* Use ConvModule instead

* Use ConvModule instead

* fix typos

* fix typos

* fix typos

* discard nn.conv2d

* discard nn.conv2d

* discard nn.conv2d

* delete **kwargs

* uploading markdown and model

* final commit

* BiSeNetV2 adding Unittest for its modules

* BiSeNetV2 adding Unittest for its modules

* BiSeNetV2 adding Unittest for its modules

* BiSeNetV2 adding Unittest for its modules

* BiSeNetV2 adding Unittest for its modules

* BiSeNetV2 adding Unittest for its modules

* BiSeNetV2 adding Unittest for its modules

* Fix README conflict

* Fix unittest problem

* Fix unittest problem

* BiSeNetV2

* Fixing fps

* Fixing typpos

* bisenetv2
2021-09-26 18:52:16 +08:00

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315 B
Python

_base_ = [
'../_base_/models/bisenetv2.py',
'../_base_/datasets/cityscapes_1024x1024.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py'
]
lr_config = dict(warmup='linear', warmup_iters=1000)
optimizer = dict(lr=0.05)
data = dict(
samples_per_gpu=4,
workers_per_gpu=4,
)