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* delete markdownlint * Support MobileNetV3 * fix import * add mobilenetv3 head and configs * Modify MobileNetV3 to semantic segmentation version * modify mobilenetv3 configs * add std configs * fix Conv2dAdaptivePadding bug * add configs * add unitest and fix bugs * fix lraspp unitest bugs * restore * fix unitest * add MobileNetV3 docstring * add mmcv * add mmcv * fix syntax bug * fix unitest bug * fix unitest bug * fix unitest bugs * fix docstring * add configs * restore * delete unnecessary assert * modify unitest * delete benchmark
12 lines
372 B
Python
12 lines
372 B
Python
_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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model = dict(pretrained='open-mmlab://contrib/mobilenet_v3_large')
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# Re-config the data sampler.
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data = dict(samples_per_gpu=4, workers_per_gpu=4)
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runner = dict(type='IterBasedRunner', max_iters=320000)
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