mmsegmentation/configs/hrnet/fcn_hr48_4xb2-160k_cityscapes-512x1024.py

_base_ = './fcn_hr18_4xb2-160k_cityscapes-512x1024.py'
model = dict(
    pretrained='open-mmlab://msra/hrnetv2_w48',
    backbone=dict(
        extra=dict(
            stage2=dict(num_channels=(48, 96)),
            stage3=dict(num_channels=(48, 96, 192)),
            stage4=dict(num_channels=(48, 96, 192, 384)))),
    decode_head=dict(
        in_channels=[48, 96, 192, 384], channels=sum([48, 96, 192, 384])))
[Refactor] Update config names (#1964) * rename ann configs * update ann yml * update * update * update * update * update * update ann readme * update * update deeplabv3 * update readme * fix yml * fix beit 2022-08-26 18:48:56 +08:00			`_base_ = './fcn_hr18_4xb2-160k_cityscapes-512x1024.py'`
Add Pascal Context to mmsegmentation (#133) * Add Pascal Context to mmsegmentation * Add benchmark result to Pascal Context * fix mmcv version * fix code syntax * fix code syntax again * Update mmseg/models/segmentors/encoder_decoder.py update hint Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com> * update comment * fix pascal context model path * fix model path mistake again * fix model path mistake again * fix model path mistakes again Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com> 2020-09-22 14:56:13 +08:00			`model = dict(`
			`pretrained='open-mmlab://msra/hrnetv2_w48',`
			`backbone=dict(`
			`extra=dict(`
			`stage2=dict(num_channels=(48, 96)),`
			`stage3=dict(num_channels=(48, 96, 192)),`
			`stage4=dict(num_channels=(48, 96, 192, 384)))),`
			`decode_head=dict(`
			`in_channels=[48, 96, 192, 384], channels=sum([48, 96, 192, 384])))`