[Enhancement] Deprecate file_client_args and use backend_args instead (#1765)

* tmp commit

* remove

Author: gaotongxiao

configs/textdet/dbnet/_base_dbnet_resnet18_fpnc.py

@@ -1,5 +1,3 @@
-file_client_args = dict(backend='disk')
-
 model = dict(
     type='DBNet',
     backbone=dict(
@@ -27,10 +25,7 @@
         pad_size_divisor=32))
 
 train_pipeline = [
-    dict(
-        type='LoadImageFromFile',
-        file_client_args=file_client_args,
-        color_type='color_ignore_orientation'),
+    dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
     dict(
         type='LoadOCRAnnotations',
         with_polygon=True,
@@ -55,10 +50,7 @@
 ]
 
 test_pipeline = [
-    dict(
-        type='LoadImageFromFile',
-        file_client_args=file_client_args,
-        color_type='color_ignore_orientation'),
+    dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
     dict(type='Resize', scale=(1333, 736), keep_ratio=True),
     dict(
         type='LoadOCRAnnotations',

configs/textdet/dbnet/_base_dbnet_resnet50-dcnv2_fpnc.py

@@ -1,5 +1,3 @@
-file_client_args = dict(backend='disk')
-
 model = dict(
     type='DBNet',
     backbone=dict(
@@ -29,10 +27,7 @@
         pad_size_divisor=32))
 
 train_pipeline = [
-    dict(
-        type='LoadImageFromFile',
-        file_client_args=file_client_args,
-        color_type='color_ignore_orientation'),
+    dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
     dict(
         type='LoadOCRAnnotations',
         with_bbox=True,
@@ -57,10 +52,7 @@
 ]
 
 test_pipeline = [
-    dict(
-        type='LoadImageFromFile',
-        file_client_args=file_client_args,
-        color_type='color_ignore_orientation'),
+    dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
     dict(type='Resize', scale=(4068, 1024), keep_ratio=True),
     dict(
         type='LoadOCRAnnotations',

configs/textdet/dbnet/dbnet_resnet18_fpnc_100k_synthtext.py

@@ -5,13 +5,8 @@
     '../_base_/schedules/schedule_sgd_100k.py',
 ]
 
-file_client_args = dict(backend='disk')
-
 train_pipeline = [
-    dict(
-        type='LoadImageFromFile',
-        file_client_args=file_client_args,
-        color_type='color_ignore_orientation'),
+    dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
     dict(
         type='LoadOCRAnnotations',
         with_polygon=True,

configs/textdet/dbnet/dbnet_resnet18_fpnc_1200e_totaltext.py

@@ -5,13 +5,8 @@
     '../_base_/schedules/schedule_sgd_1200e.py',
 ]
 
-file_client_args = dict(backend='disk')
-
 train_pipeline = [
-    dict(
-        type='LoadImageFromFile',
-        file_client_args=file_client_args,
-        color_type='color_ignore_orientation'),
+    dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
     dict(
         type='LoadOCRAnnotations',
         with_polygon=True,
@@ -37,10 +32,7 @@
 ]
 
 test_pipeline = [
-    dict(
-        type='LoadImageFromFile',
-        file_client_args=file_client_args,
-        color_type='color_ignore_orientation'),
+    dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
     dict(type='Resize', scale=(1333, 736), keep_ratio=True),
     dict(
         type='LoadOCRAnnotations',

configs/textdet/drrg/_base_drrg_resnet50_fpn-unet.py

@@ -1,5 +1,3 @@
-file_client_args = dict(backend='disk')
-
 model = dict(
     type='DRRG',
     backbone=dict(
@@ -29,10 +27,7 @@
         pad_size_divisor=32))
 
 train_pipeline = [
-    dict(
-        type='LoadImageFromFile',
-        file_client_args=file_client_args,
-        color_type='color_ignore_orientation'),
+    dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
     dict(
         type='LoadOCRAnnotations',
         with_bbox=True,
@@ -82,10 +77,7 @@
 ]
 
 test_pipeline = [
-    dict(
-        type='LoadImageFromFile',
-        file_client_args=file_client_args,
-        color_type='color_ignore_orientation'),
+    dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
     dict(type='Resize', scale=(1024, 640), keep_ratio=True),
     # add loading annotation after ``Resize`` because ground truth
     # does not need to do resize data transform

configs/textdet/fcenet/_base_fcenet_resnet50_fpn.py

@@ -1,5 +1,3 @@
-file_client_args = dict(backend='disk')
-
 model = dict(
     type='FCENet',
     backbone=dict(
@@ -41,10 +39,7 @@
         pad_size_divisor=32))
 
 train_pipeline = [
-    dict(
-        type='LoadImageFromFile',
-        file_client_args=file_client_args,
-        color_type='color_ignore_orientation'),
+    dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
     dict(
         type='LoadOCRAnnotations',
         with_polygon=True,
@@ -96,10 +91,7 @@
 ]
 
 test_pipeline = [
-    dict(
-        type='LoadImageFromFile',
-        file_client_args=file_client_args,
-        color_type='color_ignore_orientation'),
+    dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
     dict(type='Resize', scale=(2260, 2260), keep_ratio=True),
     # add loading annotation after ``Resize`` because ground truth
     # does not need to do resize data transform

configs/textdet/fcenet/fcenet_resnet50-dcnv2_fpn_1500e_ctw1500.py

@@ -12,17 +12,13 @@
     dict(type='PolyLR', power=0.9, eta_min=1e-7, end=1500),
 ]
 
-file_client_args = dict(backend='disk')
 # dataset settings
 ctw1500_textdet_train = _base_.ctw1500_textdet_train
 ctw1500_textdet_test = _base_.ctw1500_textdet_test
 
 # test pipeline for CTW1500
 ctw_test_pipeline = [
-    dict(
-        type='LoadImageFromFile',
-        file_client_args=file_client_args,
-        color_type='color_ignore_orientation'),
+    dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
     dict(type='Resize', scale=(1080, 736), keep_ratio=True),
     # add loading annotation after ``Resize`` because ground truth
     # does not need to do resize data transform

configs/textdet/maskrcnn/_base_mask-rcnn_resnet50_fpn.py

@@ -1,7 +1,5 @@
 _base_ = ['mmdet::_base_/models/mask-rcnn_r50_fpn.py']
 
-file_client_args = dict(backend='disk')
-
 mask_rcnn = _base_.pop('model')
 # Adapt Mask R-CNN model to OCR task
 mask_rcnn.update(
@@ -18,10 +16,7 @@
 model = dict(type='MMDetWrapper', text_repr_type='poly', cfg=mask_rcnn)
 
 train_pipeline = [
-    dict(
-        type='LoadImageFromFile',
-        file_client_args=file_client_args,
-        color_type='color_ignore_orientation'),
+    dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
     dict(
         type='LoadOCRAnnotations',
         with_polygon=True,
@@ -49,10 +44,7 @@
 ]
 
 test_pipeline = [
-    dict(
-        type='LoadImageFromFile',
-        file_client_args=file_client_args,
-        color_type='color_ignore_orientation'),
+    dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
     dict(type='Resize', scale=(1920, 1920), keep_ratio=True),
     dict(
         type='LoadOCRAnnotations',

configs/textdet/maskrcnn/mask-rcnn_resnet50_fpn_160e_ctw1500.py

@@ -20,10 +20,7 @@
 
 # test pipeline for CTW1500
 ctw_test_pipeline = [
-    dict(
-        type='LoadImageFromFile',
-        file_client_args=dict(backend='disk'),
-        color_type='color_ignore_orientation'),
+    dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
     dict(type='Resize', scale=(1600, 1600), keep_ratio=True),
     # add loading annotation after ``Resize`` because ground truth
     # does not need to do resize data transform

configs/textdet/panet/_base_panet_resnet18_fpem-ffm.py

@@ -32,12 +32,8 @@
         ),
         postprocessor=dict(type='PANPostprocessor', text_repr_type='quad')))
 
-file_client_args = dict(backend='disk')
 train_pipeline = [
-    dict(
-        type='LoadImageFromFile',
-        file_client_args=file_client_args,
-        color_type='color_ignore_orientation'),
+    dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
     dict(
         type='LoadOCRAnnotations',
         with_polygon=True,
@@ -60,10 +56,7 @@
 ]
 
 test_pipeline = [
-    dict(
-        type='LoadImageFromFile',
-        file_client_args=file_client_args,
-        color_type='color_ignore_orientation'),
+    dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
     # TODO Replace with mmcv.RescaleToShort when it's ready
     dict(
         type='ShortScaleAspectJitter',

configs/textdet/panet/panet_resnet18_fpem-ffm_600e_ctw1500.py

@@ -9,12 +9,8 @@
 
 default_hooks = dict(checkpoint=dict(type='CheckpointHook', interval=20), )
 
-file_client_args = dict(backend='disk')
 train_pipeline = [
-    dict(
-        type='LoadImageFromFile',
-        file_client_args=file_client_args,
-        color_type='color_ignore_orientation'),
+    dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
     dict(
         type='LoadOCRAnnotations',
         with_polygon=True,
@@ -37,10 +33,7 @@
 ]
 
 test_pipeline = [
-    dict(
-        type='LoadImageFromFile',
-        file_client_args=file_client_args,
-        color_type='color_ignore_orientation'),
+    dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
     # TODO Replace with mmcv.RescaleToShort when it's ready
     dict(
         type='ShortScaleAspectJitter',

configs/textdet/panet/panet_resnet50_fpem-ffm_600e_icdar2017.py

@@ -7,12 +7,8 @@
 
 default_hooks = dict(checkpoint=dict(type='CheckpointHook', interval=20), )
 
-file_client_args = dict(backend='disk')
 train_pipeline = [
-    dict(
-        type='LoadImageFromFile',
-        file_client_args=file_client_args,
-        color_type='color_ignore_orientation'),
+    dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
     dict(
         type='LoadOCRAnnotations',
         with_polygon=True,
@@ -35,10 +31,7 @@
 ]
 
 test_pipeline = [
-    dict(
-        type='LoadImageFromFile',
-        file_client_args=file_client_args,
-        color_type='color_ignore_orientation'),
+    dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
     # TODO Replace with mmcv.RescaleToShort when it's ready
     dict(
         type='ShortScaleAspectJitter',

configs/textdet/psenet/_base_psenet_resnet50_fpnf.py

@@ -1,5 +1,3 @@
-file_client_args = dict(backend='disk')
-
 model = dict(
     type='PSENet',
     backbone=dict(
@@ -32,10 +30,7 @@
         pad_size_divisor=32))
 
 train_pipeline = [
-    dict(
-        type='LoadImageFromFile',
-        file_client_args=file_client_args,
-        color_type='color_ignore_orientation'),
+    dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
     dict(
         type='LoadOCRAnnotations',
         with_polygon=True,
@@ -58,10 +53,7 @@
 ]
 
 test_pipeline = [
-    dict(
-        type='LoadImageFromFile',
-        file_client_args=file_client_args,
-        color_type='color_ignore_orientation'),
+    dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
     dict(type='Resize', scale=(2240, 2240), keep_ratio=True),
     dict(
         type='LoadOCRAnnotations',

configs/textdet/psenet/psenet_resnet50_fpnf_600e_ctw1500.py

@@ -17,10 +17,7 @@
 ctw1500_textdet_test = _base_.ctw1500_textdet_test
 
 test_pipeline_ctw = [
-    dict(
-        type='LoadImageFromFile',
-        file_client_args=_base_.file_client_args,
-        color_type='color_ignore_orientation'),
+    dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
     dict(type='Resize', scale=(1280, 1280), keep_ratio=True),
     dict(
         type='LoadOCRAnnotations',

configs/textdet/textsnake/_base_textsnake_resnet50_fpn-unet.py

@@ -1,5 +1,3 @@
-file_client_args = dict(backend='disk')
-
 model = dict(
     type='TextSnake',
     backbone=dict(
@@ -28,10 +26,7 @@
         pad_size_divisor=32))
 
 train_pipeline = [
-    dict(
-        type='LoadImageFromFile',
-        file_client_args=file_client_args,
-        color_type='color_ignore_orientation'),
+    dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
     dict(
         type='LoadOCRAnnotations',
         with_bbox=True,
@@ -72,10 +67,7 @@
 ]
 
 test_pipeline = [
-    dict(
-        type='LoadImageFromFile',
-        file_client_args=file_client_args,
-        color_type='color_ignore_orientation'),
+    dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
     dict(type='Resize', scale=(1333, 736), keep_ratio=True),
     # add loading annotation after ``Resize`` because ground truth
     # does not need to do resize data transform