delete work_dir in all configs (#2315)

* delete work_dir in all configs

* add comment on work_dir priority

configs/dcn/faster_rcnn_r50_fpn_mdpool_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_mdpool_r50_fpn_1x'

configs/dcn/faster_rcnn_x101_32x4d_fpn_dconv_c3-c5_1x_coco.py

@@ -13,4 +13,3 @@ model = dict(
         style='pytorch',
         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_x101_32x4d_fpn_1x'

configs/dcn/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/mask_rcnn_dconv_c3-c5_r50_fpn_1x'

configs/dcn/mask_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/mask_rcnn_dconv_c3-c5_r50_fpn_1x'

configs/double_heads/dh_faster_rcnn_r50_fpn_1x_coco.py

@@ -18,4 +18,3 @@ model = dict(
         loss_cls=dict(
             type='CrossEntropyLoss', use_sigmoid=False, loss_weight=2.0),
         loss_bbox=dict(type='SmoothL1Loss', beta=1.0, loss_weight=2.0)))
-work_dir = './work_dirs/dh_faster_rcnn_r50_fpn_1x'

configs/empirical_attention/faster_rcnn_r50_fpn_attention_0010_1x_coco.py

@@ -5,4 +5,3 @@ model = dict(
             spatial_range=-1, num_heads=8, attention_type='0010', kv_stride=2),
         stage_with_gen_attention=[[], [], [0, 1, 2, 3, 4, 5], [0, 1, 2]],
     ))
-work_dir = './work_dirs/faster_rcnn_r50_fpn_attention_0010_1x'

configs/empirical_attention/faster_rcnn_r50_fpn_attention_0010_dcn_1x_coco.py

@@ -7,4 +7,3 @@ model = 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_r50_fpn_attention_0010_dcn_1x'

configs/empirical_attention/faster_rcnn_r50_fpn_attention_1111_1x_coco.py

@@ -5,4 +5,3 @@ model = dict(
             spatial_range=-1, num_heads=8, attention_type='1111', kv_stride=2),
         stage_with_gen_attention=[[], [], [0, 1, 2, 3, 4, 5], [0, 1, 2]],
     ))
-work_dir = './work_dirs/faster_rcnn_r50_fpn_attention_1111_1x'

configs/empirical_attention/faster_rcnn_r50_fpn_attention_1111_dcn_1x_coco.py

@@ -7,4 +7,3 @@ model = 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_r50_fpn_attention_1111_dcn_1x'

configs/fast_rcnn/fast_rcnn_r50_fpn_1x_coco.py

@@ -50,4 +50,3 @@ data = dict(
     test=dict(
         proposal_file=data_root + 'proposals/rpn_r50_fpn_1x_val2017.pkl',
         pipeline=test_pipeline))
-work_dir = './work_dirs/fast_rcnn_r50_fpn_1x'

configs/faster_rcnn/faster_rcnn_r101_fpn_1x_coco.py

 _base_ = './faster_rcnn_r50_fpn_1x_coco.py'
 model = dict(pretrained='torchvision://resnet101', backbone=dict(depth=101))
-work_dir = './work_dirs/faster_rcnn_r101_fpn_1x'

configs/faster_rcnn/faster_rcnn_r50_caffe_c4_1x_coco.py

@@ -37,4 +37,3 @@ data = dict(
     test=dict(pipeline=test_pipeline))
 # optimizer
 optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0001)
-work_dir = './work_dirs/faster_rcnn_r50_caffe_c4_1x'

configs/faster_rcnn/faster_rcnn_r50_caffe_fpn_1x_coco.py

@@ -34,4 +34,3 @@ data = dict(
     train=dict(pipeline=train_pipeline),
     val=dict(pipeline=test_pipeline),
     test=dict(pipeline=test_pipeline))
-work_dir = './work_dirs/faster_rcnn_r50_caffe_fpn_1x'

configs/faster_rcnn/faster_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/faster_rcnn_r50_fpn_1x'

configs/faster_rcnn/faster_rcnn_r50_fpn_ohem_1x_coco.py

 _base_ = './faster_rcnn_r50_fpn_1x_coco.py'
 train_cfg = dict(rcnn=dict(sampler=dict(type='OHEMSampler')))
-work_dir = './work_dirs/faster_rcnn_r50_fpn_1x'

configs/faster_rcnn/faster_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/faster_rcnn_x101_32x4d_fpn_1x'

configs/faster_rcnn/faster_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/faster_rcnn_x101_64x4d_fpn_1x'

configs/fcos/fcos_center_r50_caffe_fpn_gn-head_4x4_1x_coco.py

 _base_ = './fcos_r50_caffe_fpn_gn-head_4x4_1x_coco.py'
 model = dict(bbox_head=dict(center_sampling=True, center_sample_radius=1.5))
-work_dir = './work_dirs/fcos_center_r50_caffe_fpn_gn_1x_4gpu'

configs/fcos/fcos_r101_caffe_fpn_gn-head_mstrain_640-800_4x4_2x_coco.py

@@ -41,4 +41,3 @@ data = dict(
 # learning policy
 lr_config = dict(step=[16, 22])
 total_epochs = 24
-work_dir = './work_dirs/fcos_mstrain_640_800_r101_caffe_fpn_gn_2x_4gpu'

configs/fcos/fcos_r50_caffe_fpn_gn-head_4x4_1x_coco.py

@@ -96,4 +96,3 @@ optimizer_config = dict(_delete_=True, grad_clip=None)
 # learning policy
 lr_config = dict(warmup='constant')
 total_epochs = 12
-work_dir = './work_dirs/fcos_r50_caffe_fpn_gn_1x_4gpu'