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[Benchmark] Add BiSeNetV1 COCO-Stuff 164k benchmark (#1019)
* bisenetv1 on cocostuff164k * change config_names & delete redundant keys * pretrain should before lr. * remove redundancy in bisenetv1_r50-d32
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6 changes: 6 additions & 0 deletions
6
configs/bisenetv1/bisenetv1_r101-d32_in1k-pre_lr5e-3_4x4_512x512_160k_coco-stuff164k.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,6 @@ | ||
| _base_ = './bisenetv1_r101-d32_lr5e-3_4x4_512x512_160k_coco-stuff164k.py' | ||
| model = dict( | ||
| backbone=dict( | ||
| backbone_cfg=dict( | ||
| init_cfg=dict( | ||
| type='Pretrained', checkpoint='open-mmlab://resnet101_v1c')))) |
18 changes: 18 additions & 0 deletions
18
configs/bisenetv1/bisenetv1_r101-d32_lr5e-3_4x4_512x512_160k_coco-stuff164k.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,18 @@ | ||
| _base_ = [ | ||
| '../_base_/models/bisenetv1_r18-d32.py', | ||
| '../_base_/datasets/coco-stuff164k.py', '../_base_/default_runtime.py', | ||
| '../_base_/schedules/schedule_160k.py' | ||
| ] | ||
| model = dict( | ||
| backbone=dict( | ||
| context_channels=(512, 1024, 2048), | ||
| spatial_channels=(256, 256, 256, 512), | ||
| out_channels=1024, | ||
| backbone_cfg=dict(type='ResNet', depth=101)), | ||
| decode_head=dict(in_channels=1024, channels=1024, num_classes=171), | ||
| auxiliary_head=[ | ||
| dict(in_channels=512, channels=256, num_classes=171), | ||
| dict(in_channels=512, channels=256, num_classes=171), | ||
| ]) | ||
| lr_config = dict(warmup='linear', warmup_iters=1000) | ||
| optimizer = dict(lr=0.005) |
6 changes: 6 additions & 0 deletions
6
configs/bisenetv1/bisenetv1_r18-d32_in1k-pre_lr5e-3_4x4_512x512_160k_coco-stuff164k.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,6 @@ | ||
| _base_ = './bisenetv1_r18-d32_lr5e-3_4x4_512x512_160k_coco-stuff164k.py' | ||
| model = dict( | ||
| backbone=dict( | ||
| backbone_cfg=dict( | ||
| init_cfg=dict( | ||
| type='Pretrained', checkpoint='open-mmlab://resnet18_v1c'))), ) |
13 changes: 13 additions & 0 deletions
13
configs/bisenetv1/bisenetv1_r18-d32_lr5e-3_4x4_512x512_160k_coco-stuff164k.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,13 @@ | ||
| _base_ = [ | ||
| '../_base_/models/bisenetv1_r18-d32.py', | ||
| '../_base_/datasets/coco-stuff164k.py', '../_base_/default_runtime.py', | ||
| '../_base_/schedules/schedule_160k.py' | ||
| ] | ||
| model = dict( | ||
| decode_head=dict(num_classes=171), | ||
| auxiliary_head=[ | ||
| dict(num_classes=171), | ||
| dict(num_classes=171), | ||
| ]) | ||
| lr_config = dict(warmup='linear', warmup_iters=1000) | ||
| optimizer = dict(lr=0.005) |
7 changes: 7 additions & 0 deletions
7
configs/bisenetv1/bisenetv1_r50-d32_in1k-pre_lr5e-3_4x4_512x512_160k_coco-stuff164k.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,7 @@ | ||
| _base_ = './bisenetv1_r50-d32_lr5e-3_4x4_512x512_160k_coco-stuff164k.py' | ||
|
|
||
| model = dict( | ||
| backbone=dict( | ||
| backbone_cfg=dict( | ||
| init_cfg=dict( | ||
| type='Pretrained', checkpoint='open-mmlab://resnet50_v1c')))) |
18 changes: 18 additions & 0 deletions
18
configs/bisenetv1/bisenetv1_r50-d32_lr5e-3_4x4_512x512_160k_coco-stuff164k.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,18 @@ | ||
| _base_ = [ | ||
| '../_base_/models/bisenetv1_r18-d32.py', | ||
| '../_base_/datasets/coco-stuff164k.py', '../_base_/default_runtime.py', | ||
| '../_base_/schedules/schedule_160k.py' | ||
| ] | ||
| model = dict( | ||
| backbone=dict( | ||
| context_channels=(512, 1024, 2048), | ||
| spatial_channels=(256, 256, 256, 512), | ||
| out_channels=1024, | ||
| backbone_cfg=dict(type='ResNet', depth=50)), | ||
| decode_head=dict(in_channels=1024, channels=1024, num_classes=171), | ||
| auxiliary_head=[ | ||
| dict(in_channels=512, channels=256, num_classes=171), | ||
| dict(in_channels=512, channels=256, num_classes=171), | ||
| ]) | ||
| lr_config = dict(warmup='linear', warmup_iters=1000) | ||
| optimizer = dict(lr=0.005) |