delete work_dir in all configs (#2315)

* delete work_dir in all configs

* add comment on work_dir priority

configs/albu_example/mask_rcnn_r50_fpn_albu_1x_coco.py

@@ -71,4 +71,3 @@ train_pipeline = [
                    'pad_shape', 'scale_factor'))
 ]
 data = dict(train=dict(pipeline=train_pipeline))
-work_dir = './work_dirs/mask_rcnn_r50_fpn_1x'

configs/atss/atss_r50_fpn_1x_coco.py

@@ -4,4 +4,3 @@ _base_ = [
 ]
 # optimizer
 optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0001)
-work_dir = './work_dirs/atss_r50_fpn_1x'

configs/carafe/faster_rcnn_r50_fpn_carafe_1x_coco.py

@@ -48,4 +48,3 @@ data = dict(
     train=dict(pipeline=train_pipeline),
     val=dict(pipeline=test_pipeline),
     test=dict(pipeline=test_pipeline))
-work_dir = './work_dirs/faster_rcnn_r50_fpn_carafe_1x'

configs/carafe/mask_rcnn_r50_fpn_carafe_1x_coco.py

@@ -57,4 +57,3 @@ data = dict(
     train=dict(pipeline=train_pipeline),
     val=dict(pipeline=test_pipeline),
     test=dict(pipeline=test_pipeline))
-work_dir = './work_dirs/mask_rcnn_r50_fpn_carafe_1x'

configs/cascade_rcnn/cascade_mask_rcnn_r101_fpn_1x_coco.py

 _base_ = './cascade_mask_rcnn_r50_fpn_1x_coco.py'
 model = dict(pretrained='torchvision://resnet101', backbone=dict(depth=101))
-work_dir = './work_dirs/cascade_mask_rcnn_r101_fpn_1x'

configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco.py

@@ -3,4 +3,3 @@ _base_ = [
     '../_base_/datasets/coco_instance.py',
     '../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py'
 ]
-work_dir = './work_dirs/cascade_mask_rcnn_r50_fpn_1x'

configs/cascade_rcnn/cascade_mask_rcnn_x101_32x4d_fpn_1x_coco.py

@@ -11,4 +11,3 @@ model = dict(
         frozen_stages=1,
         norm_cfg=dict(type='BN', requires_grad=True),
         style='pytorch'))
-work_dir = './work_dirs/cascade_mask_rcnn_x101_32x4d_fpn_1x'

configs/cascade_rcnn/cascade_mask_rcnn_x101_64x4d_fpn_1x_coco.py

@@ -11,4 +11,3 @@ model = dict(
         frozen_stages=1,
         norm_cfg=dict(type='BN', requires_grad=True),
         style='pytorch'))
-work_dir = './work_dirs/cascade_mask_rcnn_x101_64x4d_fpn_1x'

configs/cascade_rcnn/cascade_rcnn_r101_fpn_1x_coco.py

 _base_ = './cascade_rcnn_r50_fpn_1x_coco.py'
 model = dict(pretrained='torchvision://resnet101', backbone=dict(depth=101))
-work_dir = './work_dirs/cascade_rcnn_r101_fpn_1x'

configs/cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco.py

@@ -3,4 +3,3 @@ _base_ = [
     '../_base_/datasets/coco_detection.py',
     '../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py'
 ]
-work_dir = './work_dirs/cascade_rcnn_r50_fpn_1x'

configs/cascade_rcnn/cascade_rcnn_x101_32x4d_fpn_1x_coco.py

@@ -11,4 +11,3 @@ model = dict(
         frozen_stages=1,
         norm_cfg=dict(type='BN', requires_grad=True),
         style='pytorch'))
-work_dir = './work_dirs/cascade_rcnn_x101_32x4d_fpn_1x'

configs/cascade_rcnn/cascade_rcnn_x101_64x4d_fpn_1x_coco.py

@@ -13,4 +13,3 @@ model = dict(
         frozen_stages=1,
         norm_cfg=dict(type='BN', requires_grad=True),
         style='pytorch'))
-work_dir = './work_dirs/cascade_rcnn_x101_64x4d_fpn_1x'

configs/cityscapes/faster_rcnn_r50_fpn_1x_cityscapes.py

@@ -31,6 +31,5 @@ lr_config = dict(
     step=[7])
 total_epochs = 8  # actual epoch = 8 * 8 = 64
 log_config = dict(interval=100)
-work_dir = './work_dirs/cityscapes/faster_rcnn_r50_fpn_1x_cityscapes'
 # For better, more stable performance initialize from COCO
 load_from = 'https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/faster_rcnn_r50_fpn_2x_20181010-443129e1.pth'  # noqa

configs/cityscapes/mask_rcnn_r50_fpn_1x_cityscapes.py

@@ -38,6 +38,5 @@ lr_config = dict(
     step=[7])
 total_epochs = 8  # actual epoch = 8 * 8 = 64
 log_config = dict(interval=100)
-work_dir = './work_dirs/cityscapes/mask_rcnn_r50_fpn_1x_cityscapes'
 # For better, more stable performance initialize from COCO
 load_from = 'https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/mask_rcnn_r50_fpn_2x_20181010-41d35c05.pth'  # noqa

configs/dcn/cascade_mask_rcnn_r50_fpn_dconv_c3-c5_1x_coco.py

@@ -3,4 +3,3 @@ model = dict(
     backbone=dict(
         dcn=dict(type='DCN', deformable_groups=1, fallback_on_stride=False),
         stage_with_dcn=(False, True, True, True)))
-work_dir = './work_dirs/cascade_mask_rcnn_dconv_c3-c5_r50_fpn_1x'

configs/dcn/cascade_rcnn_r50_fpn_dconv_c3-c5_1x_coco.py

@@ -3,4 +3,3 @@ model = dict(
     backbone=dict(
         dcn=dict(type='DCN', deformable_groups=1, fallback_on_stride=False),
         stage_with_dcn=(False, True, True, True)))
-work_dir = './work_dirs/cascade_rcnn_dconv_c3-c5_r50_fpn_1x'

configs/dcn/faster_rcnn_r50_fpn_dconv_c3-c5_1x_coco.py

@@ -3,4 +3,3 @@ model = dict(
     backbone=dict(
         dcn=dict(type='DCN', deformable_groups=1, fallback_on_stride=False),
         stage_with_dcn=(False, True, True, True)))
-work_dir = './work_dirs/faster_rcnn_dconv_c3-c5_r50_fpn_1x'

configs/dcn/faster_rcnn_r50_fpn_dpool_1x_coco.py

@@ -12,4 +12,3 @@ model = dict(
             trans_std=0.1),
         out_channels=256,
         featmap_strides=[4, 8, 16, 32]))
-work_dir = './work_dirs/faster_rcnn_dpool_r50_fpn_1x'

configs/dcn/faster_rcnn_r50_fpn_mdconv_c3-c5_1x_coco.py

@@ -3,4 +3,3 @@ model = dict(
     backbone=dict(
         dcn=dict(type='DCNv2', deformable_groups=1, fallback_on_stride=False),
         stage_with_dcn=(False, True, True, True)))
-work_dir = './work_dirs/faster_rcnn_mdconv_c3-c5_r50_fpn_1x'

configs/dcn/faster_rcnn_r50_fpn_mdconv_c3-c5_group4_1x_coco.py

@@ -3,4 +3,3 @@ model = dict(
     backbone=dict(
         dcn=dict(type='DCNv2', deformable_groups=4, fallback_on_stride=False),
         stage_with_dcn=(False, True, True, True)))
-work_dir = './work_dirs/faster_rcnn_mdconv_c3-c5_group4_r50_fpn_1x'