Remove keep all stage code in HTC and Cascade RCNN (#1806)

* Remove keep all stage code

* remove keep_all_stage in config

configs/cascade_mask_rcnn_r101_fpn_1x.py

@@ -174,8 +174,7 @@ test_cfg = dict(
         score_thr=0.05,
         nms=dict(type='nms', iou_thr=0.5),
         max_per_img=100,
-        mask_thr_binary=0.5),
-    keep_all_stages=False)
+        mask_thr_binary=0.5))
 # dataset settings
 dataset_type = 'CocoDataset'
 data_root = 'data/coco/'

configs/cascade_mask_rcnn_r50_caffe_c4_1x.py

@@ -176,8 +176,7 @@ test_cfg = dict(
         score_thr=0.05,
         nms=dict(type='nms', iou_thr=0.5),
         max_per_img=100,
-        mask_thr_binary=0.5),
-    keep_all_stages=False)
+        mask_thr_binary=0.5))
 # dataset settings
 dataset_type = 'CocoDataset'
 data_root = 'data/coco/'

configs/cascade_mask_rcnn_r50_fpn_1x.py

@@ -174,8 +174,7 @@ test_cfg = dict(
         score_thr=0.05,
         nms=dict(type='nms', iou_thr=0.5),
         max_per_img=100,
-        mask_thr_binary=0.5),
-    keep_all_stages=False)
+        mask_thr_binary=0.5))
 # dataset settings
 dataset_type = 'CocoDataset'
 data_root = 'data/coco/'

configs/cascade_mask_rcnn_x101_32x4d_fpn_1x.py

@@ -176,8 +176,7 @@ test_cfg = dict(
         score_thr=0.05,
         nms=dict(type='nms', iou_thr=0.5),
         max_per_img=100,
-        mask_thr_binary=0.5),
-    keep_all_stages=False)
+        mask_thr_binary=0.5))
 # dataset settings
 dataset_type = 'CocoDataset'
 data_root = 'data/coco/'

configs/cascade_mask_rcnn_x101_64x4d_fpn_1x.py

@@ -176,8 +176,7 @@ test_cfg = dict(
         score_thr=0.05,
         nms=dict(type='nms', iou_thr=0.5),
         max_per_img=100,
-        mask_thr_binary=0.5),
-    keep_all_stages=False)
+        mask_thr_binary=0.5))
 # dataset settings
 dataset_type = 'CocoDataset'
 data_root = 'data/coco/'

configs/cascade_rcnn_r101_fpn_1x.py

@@ -155,8 +155,7 @@ test_cfg = dict(
         nms_thr=0.7,
         min_bbox_size=0),
     rcnn=dict(
-        score_thr=0.05, nms=dict(type='nms', iou_thr=0.5), max_per_img=100),
-    keep_all_stages=False)
+        score_thr=0.05, nms=dict(type='nms', iou_thr=0.5), max_per_img=100))
 # dataset settings
 dataset_type = 'CocoDataset'
 data_root = 'data/coco/'

configs/cascade_rcnn_r50_caffe_c4_1x.py

@@ -164,8 +164,7 @@ test_cfg = dict(
         nms_thr=0.7,
         min_bbox_size=0),
     rcnn=dict(
-        score_thr=0.05, nms=dict(type='nms', iou_thr=0.5), max_per_img=100),
-    keep_all_stages=False)
+        score_thr=0.05, nms=dict(type='nms', iou_thr=0.5), max_per_img=100))
 # dataset settings
 dataset_type = 'CocoDataset'
 data_root = 'data/coco/'

configs/cascade_rcnn_r50_fpn_1x.py

@@ -155,8 +155,7 @@ test_cfg = dict(
         nms_thr=0.7,
         min_bbox_size=0),
     rcnn=dict(
-        score_thr=0.05, nms=dict(type='nms', iou_thr=0.5), max_per_img=100),
-    keep_all_stages=False)
+        score_thr=0.05, nms=dict(type='nms', iou_thr=0.5), max_per_img=100))
 # dataset settings
 dataset_type = 'CocoDataset'
 data_root = 'data/coco/'

configs/cascade_rcnn_x101_32x4d_fpn_1x.py

@@ -157,8 +157,7 @@ test_cfg = dict(
         nms_thr=0.7,
         min_bbox_size=0),
     rcnn=dict(
-        score_thr=0.05, nms=dict(type='nms', iou_thr=0.5), max_per_img=100),
-    keep_all_stages=False)
+        score_thr=0.05, nms=dict(type='nms', iou_thr=0.5), max_per_img=100))
 # dataset settings
 dataset_type = 'CocoDataset'
 data_root = 'data/coco/'

configs/cascade_rcnn_x101_64x4d_fpn_1x.py

@@ -157,8 +157,7 @@ test_cfg = dict(
         nms_thr=0.7,
         min_bbox_size=0),
     rcnn=dict(
-        score_thr=0.05, nms=dict(type='nms', iou_thr=0.5), max_per_img=100),
-    keep_all_stages=False)
+        score_thr=0.05, nms=dict(type='nms', iou_thr=0.5), max_per_img=100))
 # dataset settings
 dataset_type = 'CocoDataset'
 data_root = 'data/coco/'

configs/dcn/cascade_mask_rcnn_dconv_c3-c5_r50_fpn_1x.py

@@ -177,8 +177,7 @@ test_cfg = dict(
         score_thr=0.05,
         nms=dict(type='nms', iou_thr=0.5),
         max_per_img=100,
-        mask_thr_binary=0.5),
-    keep_all_stages=False)
+        mask_thr_binary=0.5))
 # dataset settings
 dataset_type = 'CocoDataset'
 data_root = 'data/coco/'

configs/dcn/cascade_rcnn_dconv_c3-c5_r50_fpn_1x.py

@@ -158,8 +158,7 @@ test_cfg = dict(
         nms_thr=0.7,
         min_bbox_size=0),
     rcnn=dict(
-        score_thr=0.05, nms=dict(type='nms', iou_thr=0.5), max_per_img=100),
-    keep_all_stages=False)
+        score_thr=0.05, nms=dict(type='nms', iou_thr=0.5), max_per_img=100))
 # dataset settings
 dataset_type = 'CocoDataset'
 data_root = 'data/coco/'

configs/hrnet/cascade_mask_rcnn_hrnetv2p_w32_20e.py

@@ -190,8 +190,7 @@ test_cfg = dict(
         score_thr=0.05,
         nms=dict(type='nms', iou_thr=0.5),
         max_per_img=100,
-        mask_thr_binary=0.5),
-    keep_all_stages=False)
+        mask_thr_binary=0.5))
 # dataset settings
 dataset_type = 'CocoDataset'
 data_root = 'data/coco/'

configs/hrnet/cascade_rcnn_hrnetv2p_w32_20e.py

@@ -171,8 +171,7 @@ test_cfg = dict(
         nms_thr=0.7,
         min_bbox_size=0),
     rcnn=dict(
-        score_thr=0.05, nms=dict(type='nms', iou_thr=0.5), max_per_img=100),
-    keep_all_stages=False)
+        score_thr=0.05, nms=dict(type='nms', iou_thr=0.5), max_per_img=100))
 # dataset settings
 dataset_type = 'CocoDataset'
 data_root = 'data/coco/'

configs/hrnet/htc_hrnetv2p_w32_20e.py

@@ -207,8 +207,7 @@ test_cfg = dict(
         score_thr=0.001,
         nms=dict(type='nms', iou_thr=0.5),
         max_per_img=100,
-        mask_thr_binary=0.5),
-    keep_all_stages=False)
+        mask_thr_binary=0.5))
 # dataset settings
 dataset_type = 'CocoDataset'
 data_root = 'data/coco/'

configs/htc/htc_dconv_c3-c5_mstrain_400_1400_x101_64x4d_fpn_20e.py

@@ -199,8 +199,7 @@ test_cfg = dict(
         score_thr=0.001,
         nms=dict(type='nms', iou_thr=0.5),
         max_per_img=100,
-        mask_thr_binary=0.5),
-    keep_all_stages=False)
+        mask_thr_binary=0.5))
 # dataset settings
 dataset_type = 'CocoDataset'
 data_root = 'data/coco/'

configs/htc/htc_r101_fpn_20e.py

@@ -191,8 +191,7 @@ test_cfg = dict(
         score_thr=0.001,
         nms=dict(type='nms', iou_thr=0.5),
         max_per_img=100,
-        mask_thr_binary=0.5),
-    keep_all_stages=False)
+        mask_thr_binary=0.5))
 # dataset settings
 dataset_type = 'CocoDataset'
 data_root = 'data/coco/'

configs/htc/htc_r50_fpn_1x.py

@@ -191,8 +191,7 @@ test_cfg = dict(
         score_thr=0.001,
         nms=dict(type='nms', iou_thr=0.5),
         max_per_img=100,
-        mask_thr_binary=0.5),
-    keep_all_stages=False)
+        mask_thr_binary=0.5))
 # dataset settings
 dataset_type = 'CocoDataset'
 data_root = 'data/coco/'

configs/htc/htc_r50_fpn_20e.py

@@ -191,8 +191,7 @@ test_cfg = dict(
         score_thr=0.001,
         nms=dict(type='nms', iou_thr=0.5),
         max_per_img=100,
-        mask_thr_binary=0.5),
-    keep_all_stages=False)
+        mask_thr_binary=0.5))
 # dataset settings
 dataset_type = 'CocoDataset'
 data_root = 'data/coco/'

configs/htc/htc_without_semantic_r50_fpn_1x.py

@@ -176,8 +176,7 @@ test_cfg = dict(
         score_thr=0.001,
         nms=dict(type='nms', iou_thr=0.5),
         max_per_img=100,
-        mask_thr_binary=0.5),
-    keep_all_stages=False)
+        mask_thr_binary=0.5))
 # dataset settings
 dataset_type = 'CocoDataset'
 data_root = 'data/coco/'