delete work_dir in all configs (#2315)

* delete work_dir in all configs

* add comment on work_dir priority

configs/gn+ws/mask_rcnn_r50_fpn_gn_ws-all_2x_coco.py

@@ -14,4 +14,3 @@ model = dict(
 # learning policy
 lr_config = dict(step=[16, 22])
 total_epochs = 24
-work_dir = './work_dirs/mask_rcnn_r50_fpn_gn_ws_2x'

configs/gn+ws/mask_rcnn_x101_32x4d_fpn_gn_ws-all_2x_coco.py

@@ -15,4 +15,3 @@ model = dict(
         style='pytorch',
         conv_cfg=conv_cfg,
         norm_cfg=norm_cfg))
-work_dir = './work_dirs/mask_rcnn_x101_32x4d_fpn_gn_ws_2x'

configs/gn/mask_rcnn_r101_fpn_gn-all_2x_coco.py

 _base_ = './mask_rcnn_r50_fpn_gn-all_2x_coco.py'
 model = dict(
     pretrained='open-mmlab://detectron/resnet101_gn', backbone=dict(depth=101))
-work_dir = './work_dirs/mask_rcnn_r101_fpn_gn_2x'

configs/gn/mask_rcnn_r50_fpn_gn-all_2x_coco.py

@@ -43,4 +43,3 @@ data = dict(
 # learning policy
 lr_config = dict(step=[16, 22])
 total_epochs = 24
-work_dir = './work_dirs/mask_rcnn_r50_fpn_gn_2x'

configs/gn/mask_rcnn_r50_fpn_gn-all_contrib_2x_coco.py

@@ -12,4 +12,3 @@ model = dict(
 # learning policy
 lr_config = dict(step=[16, 22])
 total_epochs = 24
-work_dir = './work_dirs/mask_rcnn_r50_fpn_gn_contrib_2x'

configs/grid_rcnn/grid_rcnn_r50_fpn_gn-head_2x_coco.py

@@ -122,4 +122,3 @@ lr_config = dict(
     warmup_ratio=1.0 / 80,
     step=[17, 23])
 total_epochs = 25
-work_dir = './work_dirs/grid_rcnn_gn_head_r50_fpn_2x'

configs/grid_rcnn/grid_rcnn_x101_32x4d_fpn_gn-head_2x_coco.py

@@ -21,4 +21,3 @@ lr_config = dict(
     warmup_ratio=1.0 / 80,
     step=[17, 23])
 total_epochs = 25
-work_dir = './work_dirs/grid_rcnn_gn_head_x101_32x4d_fpn_2x'

configs/guided_anchoring/ga_fast_r50_caffe_fpn_1x_coco.py

@@ -57,4 +57,3 @@ data = dict(
     test=dict(
         proposal_file=data_root + 'proposals/ga_rpn_r50_fpn_1x_val2017.pkl',
         pipeline=test_pipeline))
-work_dir = './work_dirs/ga_fast_rcnn_r50_caffe_fpn_1x'

configs/guided_anchoring/ga_faster_r50_caffe_fpn_1x_coco.py

@@ -49,4 +49,3 @@ train_cfg = dict(
         assigner=dict(pos_iou_thr=0.6, neg_iou_thr=0.6, min_pos_iou=0.6),
         sampler=dict(type='RandomSampler', num=256)))
 test_cfg = dict(rpn=dict(max_num=300), rcnn=dict(score_thr=1e-3))
-work_dir = './work_dirs/ga_faster_rcnn_r50_caffe_fpn_1x'

configs/guided_anchoring/ga_faster_r50_fpn_1x_coco.py

@@ -49,4 +49,3 @@ train_cfg = dict(
         assigner=dict(pos_iou_thr=0.6, neg_iou_thr=0.6, min_pos_iou=0.6),
         sampler=dict(type='RandomSampler', num=256)))
 test_cfg = dict(rpn=dict(max_num=300), rcnn=dict(score_thr=1e-3))
-work_dir = './work_dirs/ga_faster_rcnn_r50_fpn_1x'

configs/guided_anchoring/ga_faster_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/ga_faster_rcnn_x101_32x4d_fpn_1x'

configs/guided_anchoring/ga_retinanet_r50_caffe_fpn_1x_coco.py

@@ -48,4 +48,3 @@ train_cfg = dict(
     assigner=dict(neg_iou_thr=0.5, min_pos_iou=0.0),
     center_ratio=0.2,
     ignore_ratio=0.5)
-work_dir = './work_dirs/ga_retinanet_r50_caffe_fpn_1x'

configs/guided_anchoring/ga_retinanet_r50_fpn_1x_coco.py

@@ -48,4 +48,3 @@ train_cfg = dict(
     assigner=dict(neg_iou_thr=0.5, min_pos_iou=0.0),
     center_ratio=0.2,
     ignore_ratio=0.5)
-work_dir = './work_dirs/ga_retinanet_r50_fpn_1x'

configs/guided_anchoring/ga_retinanet_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/ga_retinanet_x101_32x4d_fpn_1x'

configs/guided_anchoring/ga_rpn_r101_caffe_rpn_1x_coco.py

@@ -2,4 +2,3 @@ _base_ = './ga_rpn_r50_caffe_fpn_1x_coco.py'
 # model settings
 model = dict(
     pretrained='open-mmlab://resnet101_caffe', backbone=dict(depth=101))
-work_dir = './work_dirs/ga_rpn_r101_caffe_fpn_1x'

configs/guided_anchoring/ga_rpn_r50_caffe_fpn_1x_coco.py

@@ -43,4 +43,3 @@ train_cfg = dict(
         allowed_border=-1,
         center_ratio=0.2,
         ignore_ratio=0.5))
-work_dir = './work_dirs/ga_rpn_r50_caffe_fpn_1x'

configs/guided_anchoring/ga_rpn_r50_fpn_1x_coco.py

@@ -43,4 +43,3 @@ train_cfg = dict(
         allowed_border=-1,
         center_ratio=0.2,
         ignore_ratio=0.5))
-work_dir = './work_dirs/ga_rpn_r50_fpn_1x'

configs/guided_anchoring/ga_rpn_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/ga_rpn_x101_32x4d_fpn_1x'

configs/hrnet/cascade_mask_rcnn_hrnetv2p_w32_20e_coco.py

@@ -37,4 +37,3 @@ model = dict(
 # learning policy
 lr_config = dict(step=[16, 19])
 total_epochs = 20
-work_dir = './work_dirs/cascade_mask_rcnn_hrnetv2p_w32_20e'

configs/hrnet/cascade_rcnn_hrnetv2p_w32_20e_coco.py

@@ -37,4 +37,3 @@ model = dict(
 # learning policy
 lr_config = dict(step=[16, 19])
 total_epochs = 20
-work_dir = './work_dirs/cascade_rcnn_hrnetv2p_w32'