[Fix] Add back some missing fields in configs (#1171)

* [Fix] Add back some missing fields in configs

* update

configs/_base_/det_datasets/toy_data.py

@@ -15,7 +15,9 @@ train1 = dict(
     pipeline=None,
     test_mode=False)
 
-# dataset with type='IcdarDataset'
+# dataset with type='IcdarDataset'.
+# Cannot be concatenated by 'UniformConcatDataset' and therefore not appended
+# to train_list, but left for demonstration.
 train2 = dict(
     type='IcdarDataset',
     ann_file=f'{root}/instances_test.json',
@@ -36,6 +38,6 @@ test = dict(
     pipeline=None,
     test_mode=True)
 
-train_list = [train1, train2]
+train_list = [train1]
 
 test_list = [test]

configs/_base_/recog_datasets/ST_SA_MJ_real_train.py

@@ -13,13 +13,13 @@ train_img_prefix6 = f'{train_prefix}/SynthText_Add'
 train_img_prefix7 = f'{train_prefix}/SynthText'
 train_img_prefix8 = f'{train_prefix}/Syn90k'
 
-train_ann_file1 = f'{train_prefix}/icdar_2011/train_label.txt',
-train_ann_file2 = f'{train_prefix}/icdar_2013/train_label.txt',
-train_ann_file3 = f'{train_prefix}/icdar_2015/train_label.txt',
-train_ann_file4 = f'{train_prefix}/coco_text/train_label.txt',
-train_ann_file5 = f'{train_prefix}/IIIT5K/train_label.txt',
-train_ann_file6 = f'{train_prefix}/SynthText_Add/label.txt',
-train_ann_file7 = f'{train_prefix}/SynthText/shuffle_labels.txt',
+train_ann_file1 = f'{train_prefix}/icdar_2011/train_label.txt'
+train_ann_file2 = f'{train_prefix}/icdar_2013/train_label.txt'
+train_ann_file3 = f'{train_prefix}/icdar_2015/train_label.txt'
+train_ann_file4 = f'{train_prefix}/coco_text/train_label.txt'
+train_ann_file5 = f'{train_prefix}/IIIT5K/train_label.txt'
+train_ann_file6 = f'{train_prefix}/SynthText_Add/label.txt'
+train_ann_file7 = f'{train_prefix}/SynthText/shuffle_labels.txt'
 train_ann_file8 = f'{train_prefix}/Syn90k/shuffle_labels.txt'
 
 train1 = dict(

configs/textrecog/satrn/satrn_academic.py

@@ -2,7 +2,8 @@ _base_ = [
     '../../_base_/default_runtime.py',
     '../../_base_/recog_pipelines/satrn_pipeline.py',
     '../../_base_/recog_datasets/ST_MJ_train.py',
-    '../../_base_/recog_datasets/academic_test.py'
+    '../../_base_/recog_datasets/academic_test.py',
+    '../../_base_/schedules/schedule_adam_step_6e.py',
 ]
 
 train_list = {{_base_.train_list}}
@@ -45,7 +46,6 @@ optimizer = dict(type='Adam', lr=3e-4)
 optimizer_config = dict(grad_clip=None)
 # learning policy
 lr_config = dict(policy='step', step=[3, 4])
-total_epochs = 6
 
 data = dict(
     samples_per_gpu=64,

configs/textrecog/satrn/satrn_small.py

@@ -2,7 +2,8 @@ _base_ = [
     '../../_base_/default_runtime.py',
     '../../_base_/recog_pipelines/satrn_pipeline.py',
     '../../_base_/recog_datasets/ST_MJ_train.py',
-    '../../_base_/recog_datasets/academic_test.py'
+    '../../_base_/recog_datasets/academic_test.py',
+    '../../_base_/schedules/schedule_adam_step_6e.py',
 ]
 
 train_list = {{_base_.train_list}}
@@ -45,7 +46,6 @@ optimizer = dict(type='Adam', lr=3e-4)
 optimizer_config = dict(grad_clip=None)
 # learning policy
 lr_config = dict(policy='step', step=[3, 4])
-total_epochs = 6
 
 data = dict(
     samples_per_gpu=64,

configs/textrecog/seg/seg_r31_1by16_fpnocr_academic.py

@@ -3,7 +3,8 @@ _base_ = [
     '../../_base_/recog_pipelines/seg_pipeline.py',
     '../../_base_/recog_models/seg.py',
     '../../_base_/recog_datasets/ST_charbox_train.py',
-    '../../_base_/recog_datasets/academic_test.py'
+    '../../_base_/recog_datasets/academic_test.py',
+    '../../_base_/schedules/schedule_adam_step_5e.py'
 ]
 
 train_list = {{_base_.train_list}}

configs/textrecog/seg/seg_r31_1by16_fpnocr_toy_dataset.py

@@ -3,6 +3,7 @@ _base_ = [
     '../../_base_/recog_datasets/seg_toy_data.py',
     '../../_base_/recog_models/seg.py',
     '../../_base_/recog_pipelines/seg_pipeline.py',
+    '../../_base_/schedules/schedule_adam_step_5e.py'
 ]
 
 train_list = {{_base_.train_list}}
@@ -16,7 +17,6 @@ optimizer = dict(type='Adam', lr=1e-4)
 optimizer_config = dict(grad_clip=None)
 # learning policy
 lr_config = dict(policy='step', step=[3, 4])
-total_epochs = 5
 
 data = dict(
     samples_per_gpu=8,