2020-12-26 02:02:50 -06:00
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_base_ = [
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'../_base_/models/lraspp_m-v3-d8.py', '../_base_/datasets/cityscapes.py',
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'../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py'
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]
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2022-06-10 14:02:40 +00:00
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crop_size = (512, 1024)
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2022-06-19 06:32:09 +00:00
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data_preprocessor = dict(size=crop_size)
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2022-06-10 14:02:40 +00:00
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model = dict(
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2022-06-19 06:32:09 +00:00
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data_preprocessor=data_preprocessor,
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2022-06-10 14:02:40 +00:00
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pretrained='open-mmlab://contrib/mobilenet_v3_large')
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2020-12-26 02:02:50 -06:00
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# Re-config the data sampler.
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2022-05-31 14:28:42 +00:00
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train_dataloader = dict(batch_size=4, num_workers=4)
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2022-06-12 09:10:26 +00:00
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val_dataloader = dict(batch_size=1, num_workers=4)
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2022-05-31 14:28:42 +00:00
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test_dataloader = val_dataloader
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2020-12-26 02:02:50 -06:00
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runner = dict(type='IterBasedRunner', max_iters=320000)
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