Add test tutorial (#9)

* add test tutorial * remote torch/torchvision from requirements * update getting started * rename drop_out_ratio -> dropout_ratio
open-mmlab · Jul 12, 2020 · b975d3b · b975d3b
1 parent b72a6d0
commit b975d3b
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Showing 34 changed files with 81 additions and 70 deletions.
diff --git a/configs/_base_/models/ann_r50-d8.py b/configs/_base_/models/ann_r50-d8.py
@@ -22,7 +22,7 @@
  project_channels=256,
  query_scales=(1, ),
  key_pool_scales=(1, 3, 6, 8),
- drop_out_ratio=0.1,
+ dropout_ratio=0.1,
  num_classes=19,
  norm_cfg=norm_cfg,
  align_corners=False,
@@ -35,7 +35,7 @@
  channels=256,
  num_convs=1,
  concat_input=False,
- drop_out_ratio=0.1,
+ dropout_ratio=0.1,
  num_classes=19,
  norm_cfg=norm_cfg,
  align_corners=False,

diff --git a/configs/_base_/models/ccnet_r50-d8.py b/configs/_base_/models/ccnet_r50-d8.py
@@ -20,7 +20,7 @@
  in_index=3,
  channels=512,
  recurrence=2,
- drop_out_ratio=0.1,
+ dropout_ratio=0.1,
  num_classes=19,
  norm_cfg=norm_cfg,
  align_corners=False,
@@ -33,7 +33,7 @@
  channels=256,
  num_convs=1,
  concat_input=False,
- drop_out_ratio=0.1,
+ dropout_ratio=0.1,
  num_classes=19,
  norm_cfg=norm_cfg,
  align_corners=False,

diff --git a/configs/_base_/models/danet_r50-d8.py b/configs/_base_/models/danet_r50-d8.py
@@ -20,7 +20,7 @@
  in_index=3,
  channels=512,
  pam_channels=64,
- drop_out_ratio=0.1,
+ dropout_ratio=0.1,
  num_classes=19,
  norm_cfg=norm_cfg,
  align_corners=False,
@@ -33,7 +33,7 @@
  channels=256,
  num_convs=1,
  concat_input=False,
- drop_out_ratio=0.1,
+ dropout_ratio=0.1,
  num_classes=19,
  norm_cfg=norm_cfg,
  align_corners=False,

diff --git a/configs/_base_/models/deeplabv3_r50-d8.py b/configs/_base_/models/deeplabv3_r50-d8.py
@@ -20,7 +20,7 @@
  in_index=3,
  channels=512,
  dilations=(1, 12, 24, 36),
- drop_out_ratio=0.1,
+ dropout_ratio=0.1,
  num_classes=19,
  norm_cfg=norm_cfg,
  align_corners=False,
@@ -33,7 +33,7 @@
  channels=256,
  num_convs=1,
  concat_input=False,
- drop_out_ratio=0.1,
+ dropout_ratio=0.1,
  num_classes=19,
  norm_cfg=norm_cfg,
  align_corners=False,

diff --git a/configs/_base_/models/deeplabv3plus_r50-d8.py b/configs/_base_/models/deeplabv3plus_r50-d8.py
@@ -22,7 +22,7 @@
  dilations=(1, 12, 24, 36),
  c1_in_channels=256,
  c1_channels=48,
- drop_out_ratio=0.1,
+ dropout_ratio=0.1,
  num_classes=19,
  norm_cfg=norm_cfg,
  align_corners=False,
@@ -35,7 +35,7 @@
  channels=256,
  num_convs=1,
  concat_input=False,
- drop_out_ratio=0.1,
+ dropout_ratio=0.1,
  num_classes=19,
  norm_cfg=norm_cfg,
  align_corners=False,

diff --git a/configs/_base_/models/encnet_r50-d8.py b/configs/_base_/models/encnet_r50-d8.py
@@ -22,7 +22,7 @@
  num_codes=32,
  use_se_loss=True,
  add_lateral=False,
- drop_out_ratio=0.1,
+ dropout_ratio=0.1,
  num_classes=19,
  norm_cfg=norm_cfg,
  align_corners=False,
@@ -37,7 +37,7 @@
  channels=256,
  num_convs=1,
  concat_input=False,
- drop_out_ratio=0.1,
+ dropout_ratio=0.1,
  num_classes=19,
  norm_cfg=norm_cfg,
  align_corners=False,

diff --git a/configs/_base_/models/fcn_hr18.py b/configs/_base_/models/fcn_hr18.py
@@ -41,7 +41,7 @@
  kernel_size=1,
  num_convs=1,
  concat_input=False,
- drop_out_ratio=-1,
+ dropout_ratio=-1,
  num_classes=19,
  norm_cfg=norm_cfg,
  align_corners=False,

diff --git a/configs/_base_/models/fcn_r50-d8.py b/configs/_base_/models/fcn_r50-d8.py
@@ -21,7 +21,7 @@
  channels=512,
  num_convs=2,
  concat_input=True,
- drop_out_ratio=0.1,
+ dropout_ratio=0.1,
  num_classes=19,
  norm_cfg=norm_cfg,
  align_corners=False,
@@ -34,7 +34,7 @@
  channels=256,
  num_convs=1,
  concat_input=False,
- drop_out_ratio=0.1,
+ dropout_ratio=0.1,
  num_classes=19,
  norm_cfg=norm_cfg,
  align_corners=False,

diff --git a/configs/_base_/models/gcnet_r50-d8.py b/configs/_base_/models/gcnet_r50-d8.py
@@ -22,7 +22,7 @@
  ratio=1 / 4.,
  pooling_type='att',
  fusion_types=('channel_add', ),
- drop_out_ratio=0.1,
+ dropout_ratio=0.1,
  num_classes=19,
  norm_cfg=norm_cfg,
  align_corners=False,
@@ -35,7 +35,7 @@
  channels=256,
  num_convs=1,
  concat_input=False,
- drop_out_ratio=0.1,
+ dropout_ratio=0.1,
  num_classes=19,
  norm_cfg=norm_cfg,
  align_corners=False,

diff --git a/configs/_base_/models/nonlocal_r50-d8.py b/configs/_base_/models/nonlocal_r50-d8.py
@@ -19,7 +19,7 @@
  in_channels=2048,
  in_index=3,
  channels=512,
- drop_out_ratio=0.1,
+ dropout_ratio=0.1,
  reduction=2,
  use_scale=True,
  mode='embedded_gaussian',
@@ -35,7 +35,7 @@
  channels=256,
  num_convs=1,
  concat_input=False,
- drop_out_ratio=0.1,
+ dropout_ratio=0.1,
  num_classes=19,
  norm_cfg=norm_cfg,
  align_corners=False,

diff --git a/configs/_base_/models/ocrnet_hr18.py b/configs/_base_/models/ocrnet_hr18.py
@@ -43,7 +43,7 @@
  kernel_size=1,
  num_convs=1,
  concat_input=False,
- drop_out_ratio=-1,
+ dropout_ratio=-1,
  num_classes=19,
  norm_cfg=norm_cfg,
  align_corners=False,
@@ -56,7 +56,7 @@
  input_transform='resize_concat',
  channels=512,
  ocr_channels=256,
- drop_out_ratio=-1,
+ dropout_ratio=-1,
  num_classes=19,
  norm_cfg=norm_cfg,
  align_corners=False,

diff --git a/configs/_base_/models/psanet_r50-d8.py b/configs/_base_/models/psanet_r50-d8.py
@@ -25,7 +25,7 @@
  shrink_factor=2,
  normalization_factor=1.0,
  psa_softmax=True,
- drop_out_ratio=0.1,
+ dropout_ratio=0.1,
  num_classes=19,
  norm_cfg=norm_cfg,
  align_corners=False,
@@ -38,7 +38,7 @@
  channels=256,
  num_convs=1,
  concat_input=False,
- drop_out_ratio=0.1,
+ dropout_ratio=0.1,
  num_classes=19,
  norm_cfg=norm_cfg,
  align_corners=False,

diff --git a/configs/_base_/models/pspnet_r50-d8.py b/configs/_base_/models/pspnet_r50-d8.py
@@ -20,7 +20,7 @@
  in_index=3,
  channels=512,
  pool_scales=(1, 2, 3, 6),
- drop_out_ratio=0.1,
+ dropout_ratio=0.1,
  num_classes=19,
  norm_cfg=norm_cfg,
  align_corners=False,
@@ -33,7 +33,7 @@
  channels=256,
  num_convs=1,
  concat_input=False,
- drop_out_ratio=0.1,
+ dropout_ratio=0.1,
  num_classes=19,
  norm_cfg=norm_cfg,
  align_corners=False,

diff --git a/configs/_base_/models/upernet_r50.py b/configs/_base_/models/upernet_r50.py
@@ -20,7 +20,7 @@
  in_index=[0, 1, 2, 3],
  pool_scales=(1, 2, 3, 6),
  channels=512,
- drop_out_ratio=0.1,
+ dropout_ratio=0.1,
  num_classes=19,
  norm_cfg=norm_cfg,
  align_corners=False,
@@ -33,7 +33,7 @@
  channels=256,
  num_convs=1,
  concat_input=False,
- drop_out_ratio=0.1,
+ dropout_ratio=0.1,
  num_classes=19,
  norm_cfg=norm_cfg,
  align_corners=False,

diff --git a/configs/ocrnet/ocrnet_hr18_512x512_160k_ade20k.py b/configs/ocrnet/ocrnet_hr18_512x512_160k_ade20k.py
@@ -13,7 +13,7 @@
  kernel_size=1,
  num_convs=1,
  concat_input=False,
- drop_out_ratio=-1,
+ dropout_ratio=-1,
  num_classes=150,
  norm_cfg=norm_cfg,
  align_corners=False,
@@ -26,7 +26,7 @@
  input_transform='resize_concat',
  channels=512,
  ocr_channels=256,
- drop_out_ratio=-1,
+ dropout_ratio=-1,
  num_classes=150,
  norm_cfg=norm_cfg,
  align_corners=False,

diff --git a/configs/ocrnet/ocrnet_hr18_512x512_20k_voc12aug.py b/configs/ocrnet/ocrnet_hr18_512x512_20k_voc12aug.py
@@ -14,7 +14,7 @@
  kernel_size=1,
  num_convs=1,
  concat_input=False,
- drop_out_ratio=-1,
+ dropout_ratio=-1,
  num_classes=21,
  norm_cfg=norm_cfg,
  align_corners=False,
@@ -27,7 +27,7 @@
  input_transform='resize_concat',
  channels=512,
  ocr_channels=256,
- drop_out_ratio=-1,
+ dropout_ratio=-1,
  num_classes=21,
  norm_cfg=norm_cfg,
  align_corners=False,

diff --git a/configs/ocrnet/ocrnet_hr18_512x512_40k_voc12aug.py b/configs/ocrnet/ocrnet_hr18_512x512_40k_voc12aug.py
@@ -14,7 +14,7 @@
  kernel_size=1,
  num_convs=1,
  concat_input=False,
- drop_out_ratio=-1,
+ dropout_ratio=-1,
  num_classes=21,
  norm_cfg=norm_cfg,
  align_corners=False,
@@ -27,7 +27,7 @@
  input_transform='resize_concat',
  channels=512,
  ocr_channels=256,
- drop_out_ratio=-1,
+ dropout_ratio=-1,
  num_classes=21,
  norm_cfg=norm_cfg,
  align_corners=False,

diff --git a/configs/ocrnet/ocrnet_hr18_512x512_80k_ade20k.py b/configs/ocrnet/ocrnet_hr18_512x512_80k_ade20k.py
@@ -13,7 +13,7 @@
  kernel_size=1,
  num_convs=1,
  concat_input=False,
- drop_out_ratio=-1,
+ dropout_ratio=-1,
  num_classes=150,
  norm_cfg=norm_cfg,
  align_corners=False,
@@ -26,7 +26,7 @@
  input_transform='resize_concat',
  channels=512,
  ocr_channels=256,
- drop_out_ratio=-1,
+ dropout_ratio=-1,
  num_classes=150,
  norm_cfg=norm_cfg,
  align_corners=False,

diff --git a/configs/ocrnet/ocrnet_hr48_512x1024_160k_cityscapes.py b/configs/ocrnet/ocrnet_hr48_512x1024_160k_cityscapes.py
@@ -18,7 +18,7 @@
  num_convs=1,
  norm_cfg=norm_cfg,
  concat_input=False,
- drop_out_ratio=-1,
+ dropout_ratio=-1,
  num_classes=19,
  align_corners=False,
  loss_decode=dict(
@@ -31,7 +31,7 @@
  input_transform='resize_concat',
  in_index=(0, 1, 2, 3),
  norm_cfg=norm_cfg,
- drop_out_ratio=-1,
+ dropout_ratio=-1,
  num_classes=19,
  align_corners=False,
  loss_decode=dict(

diff --git a/configs/ocrnet/ocrnet_hr48_512x1024_40k_cityscapes.py b/configs/ocrnet/ocrnet_hr48_512x1024_40k_cityscapes.py
@@ -18,7 +18,7 @@
  num_convs=1,
  norm_cfg=norm_cfg,
  concat_input=False,
- drop_out_ratio=-1,
+ dropout_ratio=-1,
  num_classes=19,
  align_corners=False,
  loss_decode=dict(
@@ -31,7 +31,7 @@
  input_transform='resize_concat',
  in_index=(0, 1, 2, 3),
  norm_cfg=norm_cfg,
- drop_out_ratio=-1,
+ dropout_ratio=-1,
  num_classes=19,
  align_corners=False,
  loss_decode=dict(

diff --git a/configs/ocrnet/ocrnet_hr48_512x1024_80k_cityscapes.py b/configs/ocrnet/ocrnet_hr48_512x1024_80k_cityscapes.py
@@ -18,7 +18,7 @@
  num_convs=1,
  norm_cfg=norm_cfg,
  concat_input=False,
- drop_out_ratio=-1,
+ dropout_ratio=-1,
  num_classes=19,
  align_corners=False,
  loss_decode=dict(
@@ -31,7 +31,7 @@
  input_transform='resize_concat',
  in_index=(0, 1, 2, 3),
  norm_cfg=norm_cfg,
- drop_out_ratio=-1,
+ dropout_ratio=-1,
  num_classes=19,
  align_corners=False,
  loss_decode=dict(

diff --git a/configs/ocrnet/ocrnet_hr48_512x512_160k_ade20k.py b/configs/ocrnet/ocrnet_hr48_512x512_160k_ade20k.py
@@ -18,7 +18,7 @@
  num_convs=1,
  norm_cfg=norm_cfg,
  concat_input=False,
- drop_out_ratio=-1,
+ dropout_ratio=-1,
  num_classes=150,
  align_corners=False,
  loss_decode=dict(
@@ -31,7 +31,7 @@
  input_transform='resize_concat',
  in_index=(0, 1, 2, 3),
  norm_cfg=norm_cfg,
- drop_out_ratio=-1,
+ dropout_ratio=-1,
  num_classes=150,
  align_corners=False,
  loss_decode=dict(