mmsegmentation/maskformer_r101-d32_8xb2-160k_ade20k-512x512.py at c55d7a721e9b0ca628e20eb23578bb7728f80465 - mmsegmentation - Gitea: Git with a cup of tea

mirrors/mmsegmentation

mirror of https://github.com/open-mmlab/mmsegmentation.git synced 2025-06-03 22:03:48 +08:00

MengzhangLI 933e4d3cb6

[Feature] Support MaskFormer(NeurIPS'2021) in MMSeg 1.x (#2215 )

* [Feature] Support MaskFormer(NeurIPS'2021) in MMSeg 1.x

* add mmdet try except logic

* refactor config files

* add readme

* fix config

* update models & logs

* add MMDET installation and fix info

* fix comments

* fix

* fix config norm optimizer setting

* update models & logs & unittest

* add docstring of MaskFormerHead

* wait for mmdet 3.0.0rc4

* replace seg_mask with seg_logits & add docstring for batch_input_shape

* use mmdet3.0.0rc4

* fix readme and modify config comments

* add mmdet installation in pr_stage_test.yml

* update mmcv version in pr_stage_test.yml

* add mmdet in build_cpu of pr_stage_test.yml

* modify mmdet& mmcv installation in merge_stage_test.yml

* fix typo

* update test.yml

* update test.yml

2022-12-01 19:03:10 +08:00

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 _base_ = './maskformer_r50-d32_8xb2-160k_ade20k-512x512.py'
 model = dict(
     backbone=dict(
         depth=101,
         init_cfg=dict(type='Pretrained',
                       checkpoint='torchvision://resnet101')))