[Config] Rename textsnake (#1297)

* [Config] Rename textsnake

* Update configs/textdet/textsnake/textsnake_resnet50_fpn-unet_1200e_ctw1500.py

Co-authored-by: Xinyu Wang <45810070+xinke-wang@users.noreply.github.com>

* update metafile

* fix linting

Co-authored-by: Xinyu Wang <45810070+xinke-wang@users.noreply.github.com>

configs/textdet/textsnake/_base_textsnake_resnet50_fpn-unet.py

@@ -1,17 +1,31 @@
-_base_ = [
-    'textsnake_r50_fpn_unet.py',
-    '../../_base_/det_datasets/ctw1500.py',
-    '../../_base_/default_runtime.py',
-    '../../_base_/schedules/schedule_sgd_1200e.py',
-]
-
-# dataset settings
-train_list = {{_base_.train_list}}
-test_list = {{_base_.test_list}}
 file_client_args = dict(backend='disk')
-default_hooks = dict(
-    checkpoint=dict(type='CheckpointHook', interval=20),
-    logger=dict(type='LoggerHook', interval=20))
+
+model = dict(
+    type='TextSnake',
+    backbone=dict(
+        type='mmdet.ResNet',
+        depth=50,
+        num_stages=4,
+        out_indices=(0, 1, 2, 3),
+        frozen_stages=-1,
+        norm_cfg=dict(type='BN', requires_grad=True),
+        init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet50'),
+        norm_eval=True,
+        style='caffe'),
+    neck=dict(
+        type='FPN_UNet', in_channels=[256, 512, 1024, 2048], out_channels=32),
+    det_head=dict(
+        type='TextSnakeHead',
+        in_channels=32,
+        module_loss=dict(type='TextSnakeModuleLoss'),
+        postprocessor=dict(
+            type='TextSnakePostprocessor', text_repr_type='poly')),
+    data_preprocessor=dict(
+        type='TextDetDataPreprocessor',
+        mean=[123.675, 116.28, 103.53],
+        std=[58.395, 57.12, 57.375],
+        bgr_to_rgb=True,
+        pad_size_divisor=32))
 
 train_pipeline = [
     dict(
@@ -74,24 +88,3 @@ test_pipeline = [
         type='PackTextDetInputs',
         meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor'))
 ]
-
-train_dataloader = dict(
-    batch_size=4,
-    num_workers=4,
-    persistent_workers=True,
-    sampler=dict(type='DefaultSampler', shuffle=True),
-    dataset=dict(
-        type='ConcatDataset', datasets=train_list, pipeline=train_pipeline))
-val_dataloader = dict(
-    batch_size=1,
-    num_workers=1,
-    persistent_workers=True,
-    sampler=dict(type='DefaultSampler', shuffle=False),
-    dataset=dict(
-        type='ConcatDataset', datasets=test_list, pipeline=test_pipeline))
-test_dataloader = val_dataloader
-
-val_evaluator = dict(type='HmeanIOUMetric')
-test_evaluator = val_evaluator
-
-visualizer = dict(type='TextDetLocalVisualizer', name='visualizer')

configs/textdet/textsnake/metafile.yml

@@ -14,9 +14,9 @@ Collections:
   README: configs/textdet/textsnake/README.md
 
 Models:
-  - Name: textsnake_r50_fpn_unet_1200e_ctw1500
+  - Name: textsnake_resnet50_fpn-unet_1200e_ctw1500
     In Collection: TextSnake
-    Config: configs/textdet/textsnake/textsnake_r50_fpn_unet_1200e_ctw1500.py
+    Config: configs/textdet/textsnake/textsnake_resnet50_fpn-unet_1200e_ctw1500.py
     Metadata:
       Training Data: CTW1500
     Results:

configs/textdet/textsnake/textsnake_r50_fpn_unet.py

@@ -1,26 +0,0 @@
-model = dict(
-    type='TextSnake',
-    backbone=dict(
-        type='mmdet.ResNet',
-        depth=50,
-        num_stages=4,
-        out_indices=(0, 1, 2, 3),
-        frozen_stages=-1,
-        norm_cfg=dict(type='BN', requires_grad=True),
-        init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet50'),
-        norm_eval=True,
-        style='caffe'),
-    neck=dict(
-        type='FPN_UNet', in_channels=[256, 512, 1024, 2048], out_channels=32),
-    det_head=dict(
-        type='TextSnakeHead',
-        in_channels=32,
-        module_loss=dict(type='TextSnakeModuleLoss'),
-        postprocessor=dict(
-            type='TextSnakePostprocessor', text_repr_type='poly')),
-    data_preprocessor=dict(
-        type='TextDetDataPreprocessor',
-        mean=[123.675, 116.28, 103.53],
-        std=[58.395, 57.12, 57.375],
-        bgr_to_rgb=True,
-        pad_size_divisor=32))

configs/textdet/textsnake/textsnake_resnet50_fpn-unet_1200e_ctw1500.py

@@ -0,0 +1,28 @@
+_base_ = [
+    '_base_textsnake_resnet50_fpn-unet.py',
+    '../../_base_/det_datasets/ctw1500.py',
+    '../../_base_/textdet_default_runtime.py',
+    '../../_base_/schedules/schedule_sgd_1200e.py',
+]
+
+# dataset settings
+ctw_det_train = _base_.ctw_det_train
+ctw_det_train.pipeline = _base_.train_pipeline
+ctw_det_test = _base_.ctw_det_test
+ctw_det_test.pipeline = _base_.test_pipeline
+
+train_dataloader = dict(
+    batch_size=4,
+    num_workers=4,
+    persistent_workers=True,
+    sampler=dict(type='DefaultSampler', shuffle=True),
+    dataset=ctw_det_train)
+
+val_dataloader = dict(
+    batch_size=1,
+    num_workers=1,
+    persistent_workers=True,
+    sampler=dict(type='DefaultSampler', shuffle=False),
+    dataset=ctw_det_test)
+
+test_dataloader = val_dataloader