diff --git a/configs/Base-RCNN-C4.yaml b/configs/Base-RCNN-C4.yaml
old mode 100644
new mode 100755
diff --git a/configs/Base-RCNN-DilatedC5.yaml b/configs/Base-RCNN-DilatedC5.yaml
old mode 100644
new mode 100755
diff --git a/configs/Base-RCNN-FPN-4gpu.yaml b/configs/Base-RCNN-FPN-4gpu.yaml
deleted file mode 100644
index 628542c2c1d06783b53aa8f68720f58181fc7744..0000000000000000000000000000000000000000
--- a/configs/Base-RCNN-FPN-4gpu.yaml
+++ /dev/null
@@ -1,44 +0,0 @@
-MODEL:
-  META_ARCHITECTURE: "GeneralizedRCNN"
-  BACKBONE:
-    NAME: "build_resnet_fpn_backbone"
-  RESNETS:
-    OUT_FEATURES: ["res2", "res3", "res4", "res5"]
-  FPN:
-    IN_FEATURES: ["res2", "res3", "res4", "res5"]
-  ANCHOR_GENERATOR:
-    SIZES: [[32], [64], [128], [256], [512]]  # One size for each in feature map
-    ASPECT_RATIOS: [[0.5, 1.0, 2.0]]  # Three aspect ratios (same for all in feature maps)
-  RPN:
-    IN_FEATURES: ["p2", "p3", "p4", "p5", "p6"]
-    PRE_NMS_TOPK_TRAIN: 2000  # Per FPN level
-    PRE_NMS_TOPK_TEST: 1000  # Per FPN level
-    # Detectron1 uses 2000 proposals per-batch,
-    # (See "modeling/rpn/rpn_outputs.py" for details of this legacy issue)
-    # which is approximately 1000 proposals per-image since the default batch size for FPN is 2.
-    POST_NMS_TOPK_TRAIN: 1000
-    POST_NMS_TOPK_TEST: 1000
-  ROI_HEADS:
-    NAME: "StandardROIHeads"
-    IN_FEATURES: ["p2", "p3", "p4", "p5"]
-  ROI_BOX_HEAD:
-    NAME: "FastRCNNConvFCHead"
-    NUM_FC: 2
-    POOLER_RESOLUTION: 7
-  ROI_MASK_HEAD:
-    NAME: "MaskRCNNConvUpsampleHead"
-    NUM_CONV: 4
-    POOLER_RESOLUTION: 14
-DATASETS:
-  TRAIN: ("coco_2017_train",)
-  #TEST: ("coco_2017_val",)
-  #TEST: ("lvis_v0.5_val_cocofied",)
-  TEST: ("coco_2017_test-dev",)
-SOLVER:
-  IMS_PER_BATCH: 16 #8 #16
-  BASE_LR: 0.02 # 0.02
-  STEPS: (60000, 80000)
-  MAX_ITER: 90000
-INPUT:
-  MIN_SIZE_TRAIN: (640, 672, 704, 736, 768, 800)
-VERSION: 2
diff --git a/configs/Base-RCNN-FPN.yaml b/configs/Base-RCNN-FPN.yaml
old mode 100644
new mode 100755
index 45f3f0bb5761f5162b4d9c180f3222aeeb79b1b3..d1c7c791c40dbc5eec884e56c1bf18f422f52f1d
--- a/configs/Base-RCNN-FPN.yaml
+++ b/configs/Base-RCNN-FPN.yaml
@@ -31,7 +31,8 @@ MODEL:
     POOLER_RESOLUTION: 14
 DATASETS:
   TRAIN: ("coco_2017_train",)
-  TEST: ("coco_2017_val",)
+  #TEST: ("coco_2017_val",)
+  TEST: ("coco_2017_test-dev",)
 SOLVER:
   IMS_PER_BATCH: 16 #16
   BASE_LR: 0.02
diff --git a/configs/Base-RetinaNet.yaml b/configs/Base-RetinaNet.yaml
old mode 100644
new mode 100755
diff --git a/configs/COCO-Detection/fast_rcnn_R_50_FPN_1x.yaml b/configs/COCO-Detection/fast_rcnn_R_50_FPN_1x.yaml
deleted file mode 100644
index 773ac10e87c626760d00d831bf664ce9ff073c49..0000000000000000000000000000000000000000
--- a/configs/COCO-Detection/fast_rcnn_R_50_FPN_1x.yaml
+++ /dev/null
@@ -1,17 +0,0 @@
-_BASE_: "../Base-RCNN-FPN.yaml"
-MODEL:
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
-  MASK_ON: False
-  LOAD_PROPOSALS: True
-  RESNETS:
-    DEPTH: 50
-  PROPOSAL_GENERATOR:
-    NAME: "PrecomputedProposals"
-DATASETS:
-  TRAIN: ("coco_2017_train",)
-  PROPOSAL_FILES_TRAIN: ("detectron2://COCO-Detection/rpn_R_50_FPN_1x/137258492/coco_2017_train_box_proposals_21bc3a.pkl", )
-  TEST: ("coco_2017_val",)
-  PROPOSAL_FILES_TEST: ("detectron2://COCO-Detection/rpn_R_50_FPN_1x/137258492/coco_2017_val_box_proposals_ee0dad.pkl", )
-DATALOADER:
-  # proposals are part of the dataset_dicts, and take a lot of RAM
-  NUM_WORKERS: 2
diff --git a/configs/COCO-Detection/faster_rcnn_R_101_C4_3x.yaml b/configs/COCO-Detection/faster_rcnn_R_101_C4_3x.yaml
deleted file mode 100644
index db142cd671c1841b4f64cf130bee7f7954ecdd28..0000000000000000000000000000000000000000
--- a/configs/COCO-Detection/faster_rcnn_R_101_C4_3x.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-_BASE_: "../Base-RCNN-C4.yaml"
-MODEL:
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-101.pkl"
-  MASK_ON: False
-  RESNETS:
-    DEPTH: 101
-SOLVER:
-  STEPS: (210000, 250000)
-  MAX_ITER: 270000
diff --git a/configs/COCO-Detection/faster_rcnn_R_101_DC5_3x.yaml b/configs/COCO-Detection/faster_rcnn_R_101_DC5_3x.yaml
deleted file mode 100644
index bceb6b343618d8cd9a6c414ff9eb86ab31cc230a..0000000000000000000000000000000000000000
--- a/configs/COCO-Detection/faster_rcnn_R_101_DC5_3x.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-_BASE_: "../Base-RCNN-DilatedC5.yaml"
-MODEL:
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-101.pkl"
-  MASK_ON: False
-  RESNETS:
-    DEPTH: 101
-SOLVER:
-  STEPS: (210000, 250000)
-  MAX_ITER: 270000
diff --git a/configs/COCO-Detection/faster_rcnn_R_101_FPN_3x.yaml b/configs/COCO-Detection/faster_rcnn_R_101_FPN_3x.yaml
deleted file mode 100644
index 57a098f53ee8c54ecfa354cc96efefd890dc1b72..0000000000000000000000000000000000000000
--- a/configs/COCO-Detection/faster_rcnn_R_101_FPN_3x.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-_BASE_: "../Base-RCNN-FPN.yaml"
-MODEL:
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-101.pkl"
-  MASK_ON: False
-  RESNETS:
-    DEPTH: 101
-SOLVER:
-  STEPS: (210000, 250000)
-  MAX_ITER: 270000
diff --git a/configs/COCO-Detection/faster_rcnn_R_50_C4_1x.yaml b/configs/COCO-Detection/faster_rcnn_R_50_C4_1x.yaml
deleted file mode 100644
index f96130105c3ba6ab393e0932870903875f5cb732..0000000000000000000000000000000000000000
--- a/configs/COCO-Detection/faster_rcnn_R_50_C4_1x.yaml
+++ /dev/null
@@ -1,6 +0,0 @@
-_BASE_: "../Base-RCNN-C4.yaml"
-MODEL:
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
-  MASK_ON: False
-  RESNETS:
-    DEPTH: 50
diff --git a/configs/COCO-Detection/faster_rcnn_R_50_C4_3x.yaml b/configs/COCO-Detection/faster_rcnn_R_50_C4_3x.yaml
deleted file mode 100644
index bc51bce390a85ee3529ffdcebde05748e1646be0..0000000000000000000000000000000000000000
--- a/configs/COCO-Detection/faster_rcnn_R_50_C4_3x.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-_BASE_: "../Base-RCNN-C4.yaml"
-MODEL:
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
-  MASK_ON: False
-  RESNETS:
-    DEPTH: 50
-SOLVER:
-  STEPS: (210000, 250000)
-  MAX_ITER: 270000
diff --git a/configs/COCO-Detection/faster_rcnn_R_50_DC5_1x.yaml b/configs/COCO-Detection/faster_rcnn_R_50_DC5_1x.yaml
deleted file mode 100644
index 0fe96f57febdac5790ea4cec168fa4b97ac4807a..0000000000000000000000000000000000000000
--- a/configs/COCO-Detection/faster_rcnn_R_50_DC5_1x.yaml
+++ /dev/null
@@ -1,6 +0,0 @@
-_BASE_: "../Base-RCNN-DilatedC5.yaml"
-MODEL:
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
-  MASK_ON: False
-  RESNETS:
-    DEPTH: 50
diff --git a/configs/COCO-Detection/faster_rcnn_R_50_DC5_3x.yaml b/configs/COCO-Detection/faster_rcnn_R_50_DC5_3x.yaml
deleted file mode 100644
index 33fadeb87d1ef67ab2b55926b9a652ab4ac4a27d..0000000000000000000000000000000000000000
--- a/configs/COCO-Detection/faster_rcnn_R_50_DC5_3x.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-_BASE_: "../Base-RCNN-DilatedC5.yaml"
-MODEL:
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
-  MASK_ON: False
-  RESNETS:
-    DEPTH: 50
-SOLVER:
-  STEPS: (210000, 250000)
-  MAX_ITER: 270000
diff --git a/configs/COCO-Detection/faster_rcnn_R_50_FPN_1x.yaml b/configs/COCO-Detection/faster_rcnn_R_50_FPN_1x.yaml
deleted file mode 100644
index 3262019a1211b910d3b371569199ed1afaacf6a4..0000000000000000000000000000000000000000
--- a/configs/COCO-Detection/faster_rcnn_R_50_FPN_1x.yaml
+++ /dev/null
@@ -1,6 +0,0 @@
-_BASE_: "../Base-RCNN-FPN.yaml"
-MODEL:
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
-  MASK_ON: False
-  RESNETS:
-    DEPTH: 50
diff --git a/configs/COCO-Detection/faster_rcnn_R_50_FPN_3x.yaml b/configs/COCO-Detection/faster_rcnn_R_50_FPN_3x.yaml
deleted file mode 100644
index 41395182bf5c9dd8ab1241c4414068817298d554..0000000000000000000000000000000000000000
--- a/configs/COCO-Detection/faster_rcnn_R_50_FPN_3x.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-_BASE_: "../Base-RCNN-FPN.yaml"
-MODEL:
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
-  MASK_ON: False
-  RESNETS:
-    DEPTH: 50
-SOLVER:
-  STEPS: (210000, 250000)
-  MAX_ITER: 270000
diff --git a/configs/COCO-Detection/faster_rcnn_X_101_32x8d_FPN_3x.yaml b/configs/COCO-Detection/faster_rcnn_X_101_32x8d_FPN_3x.yaml
deleted file mode 100644
index 9c9b5ab77157baa581d90d9847c045c19ed6ffa3..0000000000000000000000000000000000000000
--- a/configs/COCO-Detection/faster_rcnn_X_101_32x8d_FPN_3x.yaml
+++ /dev/null
@@ -1,13 +0,0 @@
-_BASE_: "../Base-RCNN-FPN.yaml"
-MODEL:
-  MASK_ON: False
-  WEIGHTS: "detectron2://ImageNetPretrained/FAIR/X-101-32x8d.pkl"
-  PIXEL_STD: [57.375, 57.120, 58.395]
-  RESNETS:
-    STRIDE_IN_1X1: False  # this is a C2 model
-    NUM_GROUPS: 32
-    WIDTH_PER_GROUP: 8
-    DEPTH: 101
-SOLVER:
-  STEPS: (210000, 250000)
-  MAX_ITER: 270000
diff --git a/configs/COCO-Detection/retinanet_R_101_FPN_3x.yaml b/configs/COCO-Detection/retinanet_R_101_FPN_3x.yaml
deleted file mode 100644
index 4abb1b9a547957aa6afc0b29129e00f89cf98d59..0000000000000000000000000000000000000000
--- a/configs/COCO-Detection/retinanet_R_101_FPN_3x.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-_BASE_: "../Base-RetinaNet.yaml"
-MODEL:
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-101.pkl"
-  RESNETS:
-    DEPTH: 101
-SOLVER:
-  STEPS: (210000, 250000)
-  MAX_ITER: 270000
diff --git a/configs/COCO-Detection/retinanet_R_50_FPN_1x.py b/configs/COCO-Detection/retinanet_R_50_FPN_1x.py
deleted file mode 100644
index db86b18a9ee03789f5bc0066d470609d3515d524..0000000000000000000000000000000000000000
--- a/configs/COCO-Detection/retinanet_R_50_FPN_1x.py
+++ /dev/null
@@ -1,9 +0,0 @@
-from ..common.optim import SGD as optimizer
-from ..common.coco_schedule import lr_multiplier_1x as lr_multiplier
-from ..common.data.coco import dataloader
-from ..common.models.retinanet import model
-from ..common.train import train
-
-dataloader.train.mapper.use_instance_mask = False
-model.backbone.bottom_up.freeze_at = 2
-optimizer.lr = 0.01
diff --git a/configs/COCO-Detection/retinanet_R_50_FPN_1x.yaml b/configs/COCO-Detection/retinanet_R_50_FPN_1x.yaml
deleted file mode 100644
index 4a24ce3a9a108a8792e18c8aabfb7b712f0d3725..0000000000000000000000000000000000000000
--- a/configs/COCO-Detection/retinanet_R_50_FPN_1x.yaml
+++ /dev/null
@@ -1,5 +0,0 @@
-_BASE_: "../Base-RetinaNet.yaml"
-MODEL:
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
-  RESNETS:
-    DEPTH: 50
diff --git a/configs/COCO-Detection/retinanet_R_50_FPN_3x.yaml b/configs/COCO-Detection/retinanet_R_50_FPN_3x.yaml
deleted file mode 100644
index 3b5412d4a7aef1d6c3f7c1e34f94007de639b833..0000000000000000000000000000000000000000
--- a/configs/COCO-Detection/retinanet_R_50_FPN_3x.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-_BASE_: "../Base-RetinaNet.yaml"
-MODEL:
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
-  RESNETS:
-    DEPTH: 50
-SOLVER:
-  STEPS: (210000, 250000)
-  MAX_ITER: 270000
diff --git a/configs/COCO-Detection/rpn_R_50_C4_1x.yaml b/configs/COCO-Detection/rpn_R_50_C4_1x.yaml
deleted file mode 100644
index e04821156b0376ba5215d5ce5b7010a36b43e6a1..0000000000000000000000000000000000000000
--- a/configs/COCO-Detection/rpn_R_50_C4_1x.yaml
+++ /dev/null
@@ -1,10 +0,0 @@
-_BASE_: "../Base-RCNN-C4.yaml"
-MODEL:
-  META_ARCHITECTURE: "ProposalNetwork"
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
-  MASK_ON: False
-  RESNETS:
-    DEPTH: 50
-  RPN:
-    PRE_NMS_TOPK_TEST: 12000
-    POST_NMS_TOPK_TEST: 2000
diff --git a/configs/COCO-Detection/rpn_R_50_FPN_1x.yaml b/configs/COCO-Detection/rpn_R_50_FPN_1x.yaml
deleted file mode 100644
index dc9c95203b1c3c9cd9bb9876bb8d9a5dd9b31d9a..0000000000000000000000000000000000000000
--- a/configs/COCO-Detection/rpn_R_50_FPN_1x.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-_BASE_: "../Base-RCNN-FPN.yaml"
-MODEL:
-  META_ARCHITECTURE: "ProposalNetwork"
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
-  MASK_ON: False
-  RESNETS:
-    DEPTH: 50
-  RPN:
-    POST_NMS_TOPK_TEST: 2000
diff --git a/configs/COCO-InstanceSegmentation/.mask_rcnn_R_50_FPN_1x_4gpu.yaml.swp b/configs/COCO-InstanceSegmentation/.mask_rcnn_R_50_FPN_1x_4gpu.yaml.swp
deleted file mode 100644
index d3cd42dd54ff5bad2b489ac7aa2e5d54aa651484..0000000000000000000000000000000000000000
Binary files a/configs/COCO-InstanceSegmentation/.mask_rcnn_R_50_FPN_1x_4gpu.yaml.swp and /dev/null differ
diff --git a/configs/COCO-InstanceSegmentation/mask_rcnn_R_101_C4_3x.yaml b/configs/COCO-InstanceSegmentation/mask_rcnn_R_101_C4_3x.yaml
deleted file mode 100644
index 1a94cc45a0f2aaa8c92e14871c553b736545e327..0000000000000000000000000000000000000000
--- a/configs/COCO-InstanceSegmentation/mask_rcnn_R_101_C4_3x.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-_BASE_: "../Base-RCNN-C4.yaml"
-MODEL:
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-101.pkl"
-  MASK_ON: True
-  RESNETS:
-    DEPTH: 101
-SOLVER:
-  STEPS: (210000, 250000)
-  MAX_ITER: 270000
diff --git a/configs/COCO-InstanceSegmentation/mask_rcnn_R_101_DC5_3x.yaml b/configs/COCO-InstanceSegmentation/mask_rcnn_R_101_DC5_3x.yaml
deleted file mode 100644
index 67b70cf4be8c19f5dc735b6f55a8690698f34b69..0000000000000000000000000000000000000000
--- a/configs/COCO-InstanceSegmentation/mask_rcnn_R_101_DC5_3x.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-_BASE_: "../Base-RCNN-DilatedC5.yaml"
-MODEL:
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-101.pkl"
-  MASK_ON: True
-  RESNETS:
-    DEPTH: 101
-SOLVER:
-  STEPS: (210000, 250000)
-  MAX_ITER: 270000
diff --git a/configs/COCO-InstanceSegmentation/mask_rcnn_R_101_FPN_3x_4gpu_transfiner.yaml b/configs/COCO-InstanceSegmentation/mask_rcnn_R_101_FPN_3x_4gpu_transfiner.yaml
deleted file mode 100644
index 315b95933a4449f1bee6790d31f45bdd180717de..0000000000000000000000000000000000000000
--- a/configs/COCO-InstanceSegmentation/mask_rcnn_R_101_FPN_3x_4gpu_transfiner.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-_BASE_: "../Base-RCNN-FPN-4gpu.yaml"
-MODEL:
-  WEIGHTS: "./init_weights/model_final_a3ec72.pkl"
-  MASK_ON: True
-  RESNETS:
-    DEPTH: 101
-SOLVER:
-  STEPS: (210000, 250000)
-  MAX_ITER: 270000
diff --git a/configs/COCO-InstanceSegmentation/mask_rcnn_R_101_FPN_3x_4gpu_transfiner_lvis.yaml b/configs/COCO-InstanceSegmentation/mask_rcnn_R_101_FPN_3x_4gpu_transfiner_lvis.yaml
deleted file mode 100644
index d5197d67b143be9a4a1273a9a8983cd32d80e6a7..0000000000000000000000000000000000000000
--- a/configs/COCO-InstanceSegmentation/mask_rcnn_R_101_FPN_3x_4gpu_transfiner_lvis.yaml
+++ /dev/null
@@ -1,12 +0,0 @@
-_BASE_: "../Base-RCNN-FPN-4gpu.yaml"
-MODEL:
-  WEIGHTS: "./init_weights/model_final_a3ec72.pkl"
-  MASK_ON: True
-  RESNETS:
-    DEPTH: 101
-SOLVER:
-  STEPS: (210000, 250000)
-  MAX_ITER: 270000
-DATASETS:
-  TEST: ("lvis_v0.5_val_cocofied",)
-
diff --git a/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_C4_1x.py b/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_C4_1x.py
deleted file mode 100644
index 5e5bf932d9e216c1a866c8ed5d1d571242c97326..0000000000000000000000000000000000000000
--- a/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_C4_1x.py
+++ /dev/null
@@ -1,7 +0,0 @@
-from ..common.train import train
-from ..common.optim import SGD as optimizer
-from ..common.coco_schedule import lr_multiplier_1x as lr_multiplier
-from ..common.data.coco import dataloader
-from ..common.models.mask_rcnn_c4 import model
-
-model.backbone.freeze_at = 2
diff --git a/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_C4_1x.yaml b/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_C4_1x.yaml
deleted file mode 100644
index a9aeb4eac38026dbb867e799f9fd3a8d8eb3af80..0000000000000000000000000000000000000000
--- a/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_C4_1x.yaml
+++ /dev/null
@@ -1,6 +0,0 @@
-_BASE_: "../Base-RCNN-C4.yaml"
-MODEL:
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
-  MASK_ON: True
-  RESNETS:
-    DEPTH: 50
diff --git a/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_C4_3x.yaml b/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_C4_3x.yaml
deleted file mode 100644
index 38ed867d897dfec839cbcf11a2e2dc8abb92f07c..0000000000000000000000000000000000000000
--- a/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_C4_3x.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-_BASE_: "../Base-RCNN-C4.yaml"
-MODEL:
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
-  MASK_ON: True
-  RESNETS:
-    DEPTH: 50
-SOLVER:
-  STEPS: (210000, 250000)
-  MAX_ITER: 270000
diff --git a/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_DC5_1x.yaml b/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_DC5_1x.yaml
deleted file mode 100644
index b13eefab2a049c48d94d5051c82ceb6dbde40579..0000000000000000000000000000000000000000
--- a/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_DC5_1x.yaml
+++ /dev/null
@@ -1,6 +0,0 @@
-_BASE_: "../Base-RCNN-DilatedC5.yaml"
-MODEL:
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
-  MASK_ON: True
-  RESNETS:
-    DEPTH: 50
diff --git a/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_DC5_3x.yaml b/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_DC5_3x.yaml
deleted file mode 100644
index d401016358f967f6619d88b1c9bd5673a1cdeba8..0000000000000000000000000000000000000000
--- a/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_DC5_3x.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-_BASE_: "../Base-RCNN-DilatedC5.yaml"
-MODEL:
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
-  MASK_ON: True
-  RESNETS:
-    DEPTH: 50
-SOLVER:
-  STEPS: (210000, 250000)
-  MAX_ITER: 270000
diff --git a/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_1x.py b/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_1x.py
deleted file mode 100644
index 6f216a61c5181fe9aa1c5d1008b51cbc6fb86285..0000000000000000000000000000000000000000
--- a/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_1x.py
+++ /dev/null
@@ -1,7 +0,0 @@
-from ..common.optim import SGD as optimizer
-from ..common.coco_schedule import lr_multiplier_1x as lr_multiplier
-from ..common.data.coco import dataloader
-from ..common.models.mask_rcnn_fpn import model
-from ..common.train import train
-
-model.backbone.bottom_up.freeze_at = 2
diff --git a/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_1x_4gpu.yaml b/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_1x_4gpu.yaml
deleted file mode 100644
index fb896c8fa5971cea94099fbfffc9140418603af8..0000000000000000000000000000000000000000
--- a/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_1x_4gpu.yaml
+++ /dev/null
@@ -1,6 +0,0 @@
-_BASE_: "../Base-RCNN-FPN-4gpu.yaml"
-MODEL:
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
-  MASK_ON: True
-  RESNETS:
-    DEPTH: 50
diff --git a/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_1x_4gpu_transfiner.yaml b/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_1x_4gpu_transfiner.yaml
deleted file mode 100644
index 6eb97408fee1a5aec65d0985a6eac2598aa9b113..0000000000000000000000000000000000000000
--- a/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_1x_4gpu_transfiner.yaml
+++ /dev/null
@@ -1,6 +0,0 @@
-_BASE_: "../Base-RCNN-FPN-4gpu.yaml"
-MODEL:
-  WEIGHTS: "./init_weights/model_final_a54504.pkl"
-  MASK_ON: True
-  RESNETS:
-    DEPTH: 50
diff --git a/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_1x_giou.yaml b/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_1x_giou.yaml
deleted file mode 100644
index bec680ee17a474fefe527b7b79d26266e75c09f0..0000000000000000000000000000000000000000
--- a/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_1x_giou.yaml
+++ /dev/null
@@ -1,12 +0,0 @@
-_BASE_: "../Base-RCNN-FPN.yaml"
-MODEL:
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
-  MASK_ON: True
-  RESNETS:
-    DEPTH: 50
-  RPN:
-    BBOX_REG_LOSS_TYPE: "giou"
-    BBOX_REG_LOSS_WEIGHT: 2.0
-  ROI_BOX_HEAD:
-    BBOX_REG_LOSS_TYPE: "giou"
-    BBOX_REG_LOSS_WEIGHT: 10.0
diff --git a/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x_4gpu_transfiner.yaml b/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x_4gpu_transfiner.yaml
deleted file mode 100644
index f962edd32eaa6e8ea38d70599e036f8a415fbe6c..0000000000000000000000000000000000000000
--- a/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x_4gpu_transfiner.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-_BASE_: "../Base-RCNN-FPN-4gpu.yaml"
-MODEL:
-  WEIGHTS: "./init_weights/model_final_f10217.pkl"
-  MASK_ON: True
-  RESNETS:
-    DEPTH: 50
-SOLVER:
-  STEPS: (210000, 250000)
-  MAX_ITER: 270000
diff --git a/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x_4gpu_transfiner_lvis.yaml b/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x_4gpu_transfiner_lvis.yaml
deleted file mode 100644
index 3ae4ae125513269daf90df615fa5b0324c3cc61b..0000000000000000000000000000000000000000
--- a/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x_4gpu_transfiner_lvis.yaml
+++ /dev/null
@@ -1,12 +0,0 @@
-_BASE_: "../Base-RCNN-FPN-4gpu.yaml"
-MODEL:
-  WEIGHTS: "./init_weights/model_final_f10217.pkl"
-  MASK_ON: True
-  RESNETS:
-    DEPTH: 50
-SOLVER:
-  STEPS: (210000, 250000)
-  MAX_ITER: 270000
-DATASETS:
-  TEST: ("lvis_v0.5_val_cocofied",)
-
diff --git a/configs/COCO-InstanceSegmentation/mask_rcnn_X_101_32x8d_FPN_3x.yaml b/configs/COCO-InstanceSegmentation/mask_rcnn_X_101_32x8d_FPN_3x.yaml
deleted file mode 100644
index d14c63f74383bfc308750f51d51344398b02a239..0000000000000000000000000000000000000000
--- a/configs/COCO-InstanceSegmentation/mask_rcnn_X_101_32x8d_FPN_3x.yaml
+++ /dev/null
@@ -1,13 +0,0 @@
-_BASE_: "../Base-RCNN-FPN.yaml"
-MODEL:
-  MASK_ON: True
-  WEIGHTS: "detectron2://ImageNetPretrained/FAIR/X-101-32x8d.pkl"
-  PIXEL_STD: [57.375, 57.120, 58.395]
-  RESNETS:
-    STRIDE_IN_1X1: False  # this is a C2 model
-    NUM_GROUPS: 32
-    WIDTH_PER_GROUP: 8
-    DEPTH: 101
-SOLVER:
-  STEPS: (210000, 250000)
-  MAX_ITER: 270000
diff --git a/configs/COCO-InstanceSegmentation/mask_rcnn_X_101_32x8d_FPN_3x_transfiner.yaml b/configs/COCO-InstanceSegmentation/mask_rcnn_X_101_32x8d_FPN_3x_transfiner.yaml
deleted file mode 100644
index b6fc19397ba59079cd2add4751f96a202b8b1e37..0000000000000000000000000000000000000000
--- a/configs/COCO-InstanceSegmentation/mask_rcnn_X_101_32x8d_FPN_3x_transfiner.yaml
+++ /dev/null
@@ -1,13 +0,0 @@
-_BASE_: "../Base-RCNN-FPN-4gpu.yaml"
-MODEL:
-  MASK_ON: True
-  WEIGHTS: "./init_weights/model_final_x101.pkl"
-  PIXEL_STD: [57.375, 57.120, 58.395]
-  RESNETS:
-    STRIDE_IN_1X1: False  # this is a C2 model
-    NUM_GROUPS: 32
-    WIDTH_PER_GROUP: 8
-    DEPTH: 101
-SOLVER:
-  STEPS: (210000, 250000)
-  MAX_ITER: 270000
diff --git a/configs/COCO-InstanceSegmentation/mask_rcnn_regnetx_4gf_dds_fpn_1x.py b/configs/COCO-InstanceSegmentation/mask_rcnn_regnetx_4gf_dds_fpn_1x.py
deleted file mode 100644
index d7bbdd7d00505f1e51154379c99ab621cb648a6d..0000000000000000000000000000000000000000
--- a/configs/COCO-InstanceSegmentation/mask_rcnn_regnetx_4gf_dds_fpn_1x.py
+++ /dev/null
@@ -1,34 +0,0 @@
-from ..common.optim import SGD as optimizer
-from ..common.coco_schedule import lr_multiplier_1x as lr_multiplier
-from ..common.data.coco import dataloader
-from ..common.models.mask_rcnn_fpn import model
-from ..common.train import train
-
-from detectron2.config import LazyCall as L
-from detectron2.modeling.backbone import RegNet
-from detectron2.modeling.backbone.regnet import SimpleStem, ResBottleneckBlock
-
-
-# Replace default ResNet with RegNetX-4GF from the DDS paper. Config source:
-# https://github.com/facebookresearch/pycls/blob/2c152a6e5d913e898cca4f0a758f41e6b976714d/configs/dds_baselines/regnetx/RegNetX-4.0GF_dds_8gpu.yaml#L4-L9  # noqa
-model.backbone.bottom_up = L(RegNet)(
-    stem_class=SimpleStem,
-    stem_width=32,
-    block_class=ResBottleneckBlock,
-    depth=23,
-    w_a=38.65,
-    w_0=96,
-    w_m=2.43,
-    group_width=40,
-    freeze_at=2,
-    norm="FrozenBN",
-    out_features=["s1", "s2", "s3", "s4"],
-)
-model.pixel_std = [57.375, 57.120, 58.395]
-
-optimizer.weight_decay = 5e-5
-train.init_checkpoint = (
-    "https://dl.fbaipublicfiles.com/pycls/dds_baselines/160906383/RegNetX-4.0GF_dds_8gpu.pyth"
-)
-# RegNets benefit from enabling cudnn benchmark mode
-train.cudnn_benchmark = True
diff --git a/configs/COCO-InstanceSegmentation/mask_rcnn_regnety_4gf_dds_fpn_1x.py b/configs/COCO-InstanceSegmentation/mask_rcnn_regnety_4gf_dds_fpn_1x.py
deleted file mode 100644
index 72c6b7a5c8939970bd0e1e4a3c1155695943b19a..0000000000000000000000000000000000000000
--- a/configs/COCO-InstanceSegmentation/mask_rcnn_regnety_4gf_dds_fpn_1x.py
+++ /dev/null
@@ -1,35 +0,0 @@
-from ..common.optim import SGD as optimizer
-from ..common.coco_schedule import lr_multiplier_1x as lr_multiplier
-from ..common.data.coco import dataloader
-from ..common.models.mask_rcnn_fpn import model
-from ..common.train import train
-
-from detectron2.config import LazyCall as L
-from detectron2.modeling.backbone import RegNet
-from detectron2.modeling.backbone.regnet import SimpleStem, ResBottleneckBlock
-
-
-# Replace default ResNet with RegNetY-4GF from the DDS paper. Config source:
-# https://github.com/facebookresearch/pycls/blob/2c152a6e5d913e898cca4f0a758f41e6b976714d/configs/dds_baselines/regnety/RegNetY-4.0GF_dds_8gpu.yaml#L4-L10  # noqa
-model.backbone.bottom_up = L(RegNet)(
-    stem_class=SimpleStem,
-    stem_width=32,
-    block_class=ResBottleneckBlock,
-    depth=22,
-    w_a=31.41,
-    w_0=96,
-    w_m=2.24,
-    group_width=64,
-    se_ratio=0.25,
-    freeze_at=2,
-    norm="FrozenBN",
-    out_features=["s1", "s2", "s3", "s4"],
-)
-model.pixel_std = [57.375, 57.120, 58.395]
-
-optimizer.weight_decay = 5e-5
-train.init_checkpoint = (
-    "https://dl.fbaipublicfiles.com/pycls/dds_baselines/160906838/RegNetY-4.0GF_dds_8gpu.pyth"
-)
-# RegNets benefit from enabling cudnn benchmark mode
-train.cudnn_benchmark = True
diff --git a/configs/COCO-Keypoints/Base-Keypoint-RCNN-FPN.yaml b/configs/COCO-Keypoints/Base-Keypoint-RCNN-FPN.yaml
deleted file mode 100644
index 4e03944a42d2e497da5ceca17c8fda797dac3f82..0000000000000000000000000000000000000000
--- a/configs/COCO-Keypoints/Base-Keypoint-RCNN-FPN.yaml
+++ /dev/null
@@ -1,15 +0,0 @@
-_BASE_: "../Base-RCNN-FPN.yaml"
-MODEL:
-  KEYPOINT_ON: True
-  ROI_HEADS:
-    NUM_CLASSES: 1
-  ROI_BOX_HEAD:
-    SMOOTH_L1_BETA: 0.5  # Keypoint AP degrades (though box AP improves) when using plain L1 loss
-  RPN:
-    # Detectron1 uses 2000 proposals per-batch, but this option is per-image in detectron2.
-    # 1000 proposals per-image is found to hurt box AP.
-    # Therefore we increase it to 1500 per-image.
-    POST_NMS_TOPK_TRAIN: 1500
-DATASETS:
-  TRAIN: ("keypoints_coco_2017_train",)
-  TEST: ("keypoints_coco_2017_val",)
diff --git a/configs/COCO-Keypoints/keypoint_rcnn_R_101_FPN_3x.yaml b/configs/COCO-Keypoints/keypoint_rcnn_R_101_FPN_3x.yaml
deleted file mode 100644
index 9309535c57a1aa7d23297aac80a9bd78a6c79fcc..0000000000000000000000000000000000000000
--- a/configs/COCO-Keypoints/keypoint_rcnn_R_101_FPN_3x.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-_BASE_: "Base-Keypoint-RCNN-FPN.yaml"
-MODEL:
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-101.pkl"
-  RESNETS:
-    DEPTH: 101
-SOLVER:
-  STEPS: (210000, 250000)
-  MAX_ITER: 270000
diff --git a/configs/COCO-Keypoints/keypoint_rcnn_R_50_FPN_1x.py b/configs/COCO-Keypoints/keypoint_rcnn_R_50_FPN_1x.py
deleted file mode 100644
index b74e8ac52d121cfa76ea4f5ec6562552c072ff22..0000000000000000000000000000000000000000
--- a/configs/COCO-Keypoints/keypoint_rcnn_R_50_FPN_1x.py
+++ /dev/null
@@ -1,7 +0,0 @@
-from ..common.optim import SGD as optimizer
-from ..common.coco_schedule import lr_multiplier_1x as lr_multiplier
-from ..common.data.coco_keypoint import dataloader
-from ..common.models.keypoint_rcnn_fpn import model
-from ..common.train import train
-
-model.backbone.bottom_up.freeze_at = 2
diff --git a/configs/COCO-Keypoints/keypoint_rcnn_R_50_FPN_1x.yaml b/configs/COCO-Keypoints/keypoint_rcnn_R_50_FPN_1x.yaml
deleted file mode 100644
index 7bf85cf745b53b3e7ab28fe94b7f4f9e7fe6e335..0000000000000000000000000000000000000000
--- a/configs/COCO-Keypoints/keypoint_rcnn_R_50_FPN_1x.yaml
+++ /dev/null
@@ -1,5 +0,0 @@
-_BASE_: "Base-Keypoint-RCNN-FPN.yaml"
-MODEL:
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
-  RESNETS:
-    DEPTH: 50
diff --git a/configs/COCO-Keypoints/keypoint_rcnn_R_50_FPN_3x.yaml b/configs/COCO-Keypoints/keypoint_rcnn_R_50_FPN_3x.yaml
deleted file mode 100644
index a07f243f650a497b9372501e3face75194cf0941..0000000000000000000000000000000000000000
--- a/configs/COCO-Keypoints/keypoint_rcnn_R_50_FPN_3x.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-_BASE_: "Base-Keypoint-RCNN-FPN.yaml"
-MODEL:
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
-  RESNETS:
-    DEPTH: 50
-SOLVER:
-  STEPS: (210000, 250000)
-  MAX_ITER: 270000
diff --git a/configs/COCO-Keypoints/keypoint_rcnn_X_101_32x8d_FPN_3x.yaml b/configs/COCO-Keypoints/keypoint_rcnn_X_101_32x8d_FPN_3x.yaml
deleted file mode 100644
index d4bfa20a98c0a65c6bd60e93b07e8f4b7d92a867..0000000000000000000000000000000000000000
--- a/configs/COCO-Keypoints/keypoint_rcnn_X_101_32x8d_FPN_3x.yaml
+++ /dev/null
@@ -1,12 +0,0 @@
-_BASE_: "Base-Keypoint-RCNN-FPN.yaml"
-MODEL:
-  WEIGHTS: "detectron2://ImageNetPretrained/FAIR/X-101-32x8d.pkl"
-  PIXEL_STD: [57.375, 57.120, 58.395]
-  RESNETS:
-    STRIDE_IN_1X1: False  # this is a C2 model
-    NUM_GROUPS: 32
-    WIDTH_PER_GROUP: 8
-    DEPTH: 101
-SOLVER:
-  STEPS: (210000, 250000)
-  MAX_ITER: 270000
diff --git a/configs/COCO-PanopticSegmentation/Base-Panoptic-FPN.yaml b/configs/COCO-PanopticSegmentation/Base-Panoptic-FPN.yaml
deleted file mode 100644
index f00d54b760c2b9271c75643e0a1ab1ffc0d9543a..0000000000000000000000000000000000000000
--- a/configs/COCO-PanopticSegmentation/Base-Panoptic-FPN.yaml
+++ /dev/null
@@ -1,11 +0,0 @@
-_BASE_: "../Base-RCNN-FPN.yaml"
-MODEL:
-  META_ARCHITECTURE: "PanopticFPN"
-  MASK_ON: True
-  SEM_SEG_HEAD:
-    LOSS_WEIGHT: 0.5
-DATASETS:
-  TRAIN: ("coco_2017_train_panoptic_separated",)
-  TEST: ("coco_2017_val_panoptic_separated",)
-DATALOADER:
-  FILTER_EMPTY_ANNOTATIONS: False
diff --git a/configs/COCO-PanopticSegmentation/panoptic_fpn_R_101_3x.yaml b/configs/COCO-PanopticSegmentation/panoptic_fpn_R_101_3x.yaml
deleted file mode 100644
index 0e01f6fb31e9b00b1857b7de3b5074184d1f4a21..0000000000000000000000000000000000000000
--- a/configs/COCO-PanopticSegmentation/panoptic_fpn_R_101_3x.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-_BASE_: "Base-Panoptic-FPN.yaml"
-MODEL:
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-101.pkl"
-  RESNETS:
-    DEPTH: 101
-SOLVER:
-  STEPS: (210000, 250000)
-  MAX_ITER: 270000
diff --git a/configs/COCO-PanopticSegmentation/panoptic_fpn_R_50_1x.py b/configs/COCO-PanopticSegmentation/panoptic_fpn_R_50_1x.py
deleted file mode 100644
index d7378e093e12ff854d0c46f1eda9177190d31813..0000000000000000000000000000000000000000
--- a/configs/COCO-PanopticSegmentation/panoptic_fpn_R_50_1x.py
+++ /dev/null
@@ -1,7 +0,0 @@
-from ..common.optim import SGD as optimizer
-from ..common.coco_schedule import lr_multiplier_1x as lr_multiplier
-from ..common.data.coco_panoptic_separated import dataloader
-from ..common.models.panoptic_fpn import model
-from ..common.train import train
-
-model.backbone.bottom_up.freeze_at = 2
diff --git a/configs/COCO-PanopticSegmentation/panoptic_fpn_R_50_1x.yaml b/configs/COCO-PanopticSegmentation/panoptic_fpn_R_50_1x.yaml
deleted file mode 100644
index 6afa2c1cc92495309ed1553a17359fe5d7d6566e..0000000000000000000000000000000000000000
--- a/configs/COCO-PanopticSegmentation/panoptic_fpn_R_50_1x.yaml
+++ /dev/null
@@ -1,5 +0,0 @@
-_BASE_: "Base-Panoptic-FPN.yaml"
-MODEL:
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
-  RESNETS:
-    DEPTH: 50
diff --git a/configs/COCO-PanopticSegmentation/panoptic_fpn_R_50_3x.yaml b/configs/COCO-PanopticSegmentation/panoptic_fpn_R_50_3x.yaml
deleted file mode 100644
index b956b3f673e78649184fe2c50e2700b3f1f14794..0000000000000000000000000000000000000000
--- a/configs/COCO-PanopticSegmentation/panoptic_fpn_R_50_3x.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-_BASE_: "Base-Panoptic-FPN.yaml"
-MODEL:
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
-  RESNETS:
-    DEPTH: 50
-SOLVER:
-  STEPS: (210000, 250000)
-  MAX_ITER: 270000
diff --git a/configs/Cityscapes/mask_rcnn_R_50_FPN.yaml b/configs/Cityscapes/mask_rcnn_R_50_FPN.yaml
old mode 100644
new mode 100755
diff --git a/configs/Cityscapes/mask_rcnn_R_50_FPN_4gpu.yaml b/configs/Cityscapes/mask_rcnn_R_50_FPN_4gpu.yaml
old mode 100644
new mode 100755
diff --git a/configs/Detectron1-Comparisons/README.md b/configs/Detectron1-Comparisons/README.md
old mode 100644
new mode 100755
diff --git a/configs/Detectron1-Comparisons/faster_rcnn_R_50_FPN_noaug_1x.yaml b/configs/Detectron1-Comparisons/faster_rcnn_R_50_FPN_noaug_1x.yaml
old mode 100644
new mode 100755
diff --git a/configs/Detectron1-Comparisons/keypoint_rcnn_R_50_FPN_1x.yaml b/configs/Detectron1-Comparisons/keypoint_rcnn_R_50_FPN_1x.yaml
old mode 100644
new mode 100755
diff --git a/configs/Detectron1-Comparisons/mask_rcnn_R_50_FPN_noaug_1x.yaml b/configs/Detectron1-Comparisons/mask_rcnn_R_50_FPN_noaug_1x.yaml
old mode 100644
new mode 100755
diff --git a/configs/LVISv0.5-InstanceSegmentation/mask_rcnn_R_101_FPN_1x.yaml b/configs/LVISv0.5-InstanceSegmentation/mask_rcnn_R_101_FPN_1x.yaml
old mode 100644
new mode 100755
diff --git a/configs/LVISv0.5-InstanceSegmentation/mask_rcnn_R_101_FPN_1x_finetune.yaml b/configs/LVISv0.5-InstanceSegmentation/mask_rcnn_R_101_FPN_1x_finetune.yaml
old mode 100644
new mode 100755
diff --git a/configs/LVISv0.5-InstanceSegmentation/mask_rcnn_R_50_FPN_1x.yaml b/configs/LVISv0.5-InstanceSegmentation/mask_rcnn_R_50_FPN_1x.yaml
old mode 100644
new mode 100755
diff --git a/configs/LVISv0.5-InstanceSegmentation/mask_rcnn_X_101_32x8d_FPN_1x.yaml b/configs/LVISv0.5-InstanceSegmentation/mask_rcnn_X_101_32x8d_FPN_1x.yaml
old mode 100644
new mode 100755
diff --git a/configs/LVISv1-InstanceSegmentation/mask_rcnn_R_101_FPN_1x.yaml b/configs/LVISv1-InstanceSegmentation/mask_rcnn_R_101_FPN_1x.yaml
old mode 100644
new mode 100755
diff --git a/configs/LVISv1-InstanceSegmentation/mask_rcnn_R_50_FPN_1x.yaml b/configs/LVISv1-InstanceSegmentation/mask_rcnn_R_50_FPN_1x.yaml
old mode 100644
new mode 100755
diff --git a/configs/LVISv1-InstanceSegmentation/mask_rcnn_X_101_32x8d_FPN_1x.yaml b/configs/LVISv1-InstanceSegmentation/mask_rcnn_X_101_32x8d_FPN_1x.yaml
old mode 100644
new mode 100755
diff --git a/configs/Misc/cascade_mask_rcnn_R_50_FPN_1x.yaml b/configs/Misc/cascade_mask_rcnn_R_50_FPN_1x.yaml
old mode 100644
new mode 100755
diff --git a/configs/Misc/cascade_mask_rcnn_R_50_FPN_3x.yaml b/configs/Misc/cascade_mask_rcnn_R_50_FPN_3x.yaml
old mode 100644
new mode 100755
diff --git a/configs/Misc/cascade_mask_rcnn_X_152_32x8d_FPN_IN5k_gn_dconv.yaml b/configs/Misc/cascade_mask_rcnn_X_152_32x8d_FPN_IN5k_gn_dconv.yaml
old mode 100644
new mode 100755
diff --git a/configs/Misc/mask_rcnn_R_50_FPN_1x_cls_agnostic.yaml b/configs/Misc/mask_rcnn_R_50_FPN_1x_cls_agnostic.yaml
old mode 100644
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diff --git a/configs/Misc/mask_rcnn_R_50_FPN_1x_dconv_c3-c5.yaml b/configs/Misc/mask_rcnn_R_50_FPN_1x_dconv_c3-c5.yaml
old mode 100644
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diff --git a/configs/Misc/mask_rcnn_R_50_FPN_3x_dconv_c3-c5.yaml b/configs/Misc/mask_rcnn_R_50_FPN_3x_dconv_c3-c5.yaml
old mode 100644
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diff --git a/configs/Misc/mask_rcnn_R_50_FPN_3x_dconv_c3-c5_4gpu.yaml b/configs/Misc/mask_rcnn_R_50_FPN_3x_dconv_c3-c5_4gpu.yaml
old mode 100644
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diff --git a/configs/Misc/mask_rcnn_R_50_FPN_3x_gn.yaml b/configs/Misc/mask_rcnn_R_50_FPN_3x_gn.yaml
old mode 100644
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diff --git a/configs/Misc/mask_rcnn_R_50_FPN_3x_syncbn.yaml b/configs/Misc/mask_rcnn_R_50_FPN_3x_syncbn.yaml
old mode 100644
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diff --git a/configs/Misc/mmdet_mask_rcnn_R_50_FPN_1x.py b/configs/Misc/mmdet_mask_rcnn_R_50_FPN_1x.py
old mode 100644
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diff --git a/configs/Misc/panoptic_fpn_R_101_dconv_cascade_gn_3x.yaml b/configs/Misc/panoptic_fpn_R_101_dconv_cascade_gn_3x.yaml
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diff --git a/configs/Misc/scratch_mask_rcnn_R_50_FPN_3x_gn.yaml b/configs/Misc/scratch_mask_rcnn_R_50_FPN_3x_gn.yaml
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diff --git a/configs/Misc/scratch_mask_rcnn_R_50_FPN_9x_gn.yaml b/configs/Misc/scratch_mask_rcnn_R_50_FPN_9x_gn.yaml
old mode 100644
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diff --git a/configs/Misc/scratch_mask_rcnn_R_50_FPN_9x_syncbn.yaml b/configs/Misc/scratch_mask_rcnn_R_50_FPN_9x_syncbn.yaml
old mode 100644
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diff --git a/configs/Misc/semantic_R_50_FPN_1x.yaml b/configs/Misc/semantic_R_50_FPN_1x.yaml
old mode 100644
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diff --git a/configs/Misc/torchvision_imagenet_R_50.py b/configs/Misc/torchvision_imagenet_R_50.py
old mode 100644
new mode 100755
diff --git a/configs/PascalVOC-Detection/faster_rcnn_R_50_C4.yaml b/configs/PascalVOC-Detection/faster_rcnn_R_50_C4.yaml
deleted file mode 100644
index ea2a6baaebd1a186db18f2904430ffb25901898e..0000000000000000000000000000000000000000
--- a/configs/PascalVOC-Detection/faster_rcnn_R_50_C4.yaml
+++ /dev/null
@@ -1,18 +0,0 @@
-_BASE_: "../Base-RCNN-C4.yaml"
-MODEL:
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
-  MASK_ON: False
-  RESNETS:
-    DEPTH: 50
-  ROI_HEADS:
-    NUM_CLASSES: 20
-INPUT:
-  MIN_SIZE_TRAIN: (480, 512, 544, 576, 608, 640, 672, 704, 736, 768, 800)
-  MIN_SIZE_TEST: 800
-DATASETS:
-  TRAIN: ('voc_2007_trainval', 'voc_2012_trainval')
-  TEST: ('voc_2007_test',)
-SOLVER:
-  STEPS: (12000, 16000)
-  MAX_ITER: 18000  # 17.4 epochs
-  WARMUP_ITERS: 100
diff --git a/configs/PascalVOC-Detection/faster_rcnn_R_50_FPN.yaml b/configs/PascalVOC-Detection/faster_rcnn_R_50_FPN.yaml
deleted file mode 100644
index e554cab18a358a27b630c1ab0c2359666b0e1514..0000000000000000000000000000000000000000
--- a/configs/PascalVOC-Detection/faster_rcnn_R_50_FPN.yaml
+++ /dev/null
@@ -1,18 +0,0 @@
-_BASE_: "../Base-RCNN-FPN.yaml"
-MODEL:
-  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
-  MASK_ON: False
-  RESNETS:
-    DEPTH: 50
-  ROI_HEADS:
-    NUM_CLASSES: 20
-INPUT:
-  MIN_SIZE_TRAIN: (480, 512, 544, 576, 608, 640, 672, 704, 736, 768, 800)
-  MIN_SIZE_TEST: 800
-DATASETS:
-  TRAIN: ('voc_2007_trainval', 'voc_2012_trainval')
-  TEST: ('voc_2007_test',)
-SOLVER:
-  STEPS: (12000, 16000)
-  MAX_ITER: 18000  # 17.4 epochs
-  WARMUP_ITERS: 100
diff --git a/configs/common/README.md b/configs/common/README.md
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diff --git a/configs/common/coco_schedule.py b/configs/common/coco_schedule.py
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diff --git a/configs/common/data/coco.py b/configs/common/data/coco.py
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diff --git a/configs/common/data/coco_keypoint.py b/configs/common/data/coco_keypoint.py
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diff --git a/configs/common/data/coco_panoptic_separated.py b/configs/common/data/coco_panoptic_separated.py
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diff --git a/configs/common/models/cascade_rcnn.py b/configs/common/models/cascade_rcnn.py
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diff --git a/configs/common/models/keypoint_rcnn_fpn.py b/configs/common/models/keypoint_rcnn_fpn.py
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diff --git a/configs/common/models/mask_rcnn_c4.py b/configs/common/models/mask_rcnn_c4.py
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diff --git a/configs/common/models/mask_rcnn_fpn.py b/configs/common/models/mask_rcnn_fpn.py
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diff --git a/configs/common/models/panoptic_fpn.py b/configs/common/models/panoptic_fpn.py
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diff --git a/configs/common/models/retinanet.py b/configs/common/models/retinanet.py
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diff --git a/configs/common/optim.py b/configs/common/optim.py
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diff --git a/configs/common/train.py b/configs/common/train.py
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diff --git a/configs/new_baselines/mask_rcnn_R_101_FPN_100ep_LSJ.py b/configs/new_baselines/mask_rcnn_R_101_FPN_100ep_LSJ.py
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diff --git a/configs/new_baselines/mask_rcnn_R_101_FPN_200ep_LSJ.py b/configs/new_baselines/mask_rcnn_R_101_FPN_200ep_LSJ.py
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diff --git a/configs/new_baselines/mask_rcnn_R_101_FPN_400ep_LSJ.py b/configs/new_baselines/mask_rcnn_R_101_FPN_400ep_LSJ.py
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diff --git a/configs/new_baselines/mask_rcnn_R_50_FPN_100ep_LSJ.py b/configs/new_baselines/mask_rcnn_R_50_FPN_100ep_LSJ.py
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diff --git a/configs/new_baselines/mask_rcnn_R_50_FPN_200ep_LSJ.py b/configs/new_baselines/mask_rcnn_R_50_FPN_200ep_LSJ.py
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diff --git a/configs/new_baselines/mask_rcnn_R_50_FPN_400ep_LSJ.py b/configs/new_baselines/mask_rcnn_R_50_FPN_400ep_LSJ.py
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diff --git a/configs/new_baselines/mask_rcnn_R_50_FPN_50ep_LSJ.py b/configs/new_baselines/mask_rcnn_R_50_FPN_50ep_LSJ.py
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diff --git a/configs/new_baselines/mask_rcnn_regnetx_4gf_dds_FPN_100ep_LSJ.py b/configs/new_baselines/mask_rcnn_regnetx_4gf_dds_FPN_100ep_LSJ.py
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diff --git a/configs/new_baselines/mask_rcnn_regnetx_4gf_dds_FPN_200ep_LSJ.py b/configs/new_baselines/mask_rcnn_regnetx_4gf_dds_FPN_200ep_LSJ.py
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diff --git a/configs/new_baselines/mask_rcnn_regnetx_4gf_dds_FPN_400ep_LSJ.py b/configs/new_baselines/mask_rcnn_regnetx_4gf_dds_FPN_400ep_LSJ.py
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diff --git a/configs/new_baselines/mask_rcnn_regnety_4gf_dds_FPN_100ep_LSJ.py b/configs/new_baselines/mask_rcnn_regnety_4gf_dds_FPN_100ep_LSJ.py
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diff --git a/configs/new_baselines/mask_rcnn_regnety_4gf_dds_FPN_200ep_LSJ.py b/configs/new_baselines/mask_rcnn_regnety_4gf_dds_FPN_200ep_LSJ.py
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diff --git a/configs/new_baselines/mask_rcnn_regnety_4gf_dds_FPN_400ep_LSJ.py b/configs/new_baselines/mask_rcnn_regnety_4gf_dds_FPN_400ep_LSJ.py
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diff --git a/configs/quick_schedules/README.md b/configs/quick_schedules/README.md
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diff --git a/configs/quick_schedules/cascade_mask_rcnn_R_50_FPN_inference_acc_test.yaml b/configs/quick_schedules/cascade_mask_rcnn_R_50_FPN_inference_acc_test.yaml
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diff --git a/configs/quick_schedules/cascade_mask_rcnn_R_50_FPN_instant_test.yaml b/configs/quick_schedules/cascade_mask_rcnn_R_50_FPN_instant_test.yaml
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diff --git a/configs/quick_schedules/fast_rcnn_R_50_FPN_inference_acc_test.yaml b/configs/quick_schedules/fast_rcnn_R_50_FPN_inference_acc_test.yaml
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diff --git a/configs/quick_schedules/fast_rcnn_R_50_FPN_instant_test.yaml b/configs/quick_schedules/fast_rcnn_R_50_FPN_instant_test.yaml
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diff --git a/configs/quick_schedules/keypoint_rcnn_R_50_FPN_inference_acc_test.yaml b/configs/quick_schedules/keypoint_rcnn_R_50_FPN_inference_acc_test.yaml
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diff --git a/configs/quick_schedules/keypoint_rcnn_R_50_FPN_instant_test.yaml b/configs/quick_schedules/keypoint_rcnn_R_50_FPN_instant_test.yaml
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diff --git a/configs/quick_schedules/keypoint_rcnn_R_50_FPN_normalized_training_acc_test.yaml b/configs/quick_schedules/keypoint_rcnn_R_50_FPN_normalized_training_acc_test.yaml
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diff --git a/configs/quick_schedules/keypoint_rcnn_R_50_FPN_training_acc_test.yaml b/configs/quick_schedules/keypoint_rcnn_R_50_FPN_training_acc_test.yaml
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diff --git a/configs/quick_schedules/mask_rcnn_R_50_C4_GCV_instant_test.yaml b/configs/quick_schedules/mask_rcnn_R_50_C4_GCV_instant_test.yaml
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diff --git a/configs/quick_schedules/mask_rcnn_R_50_C4_inference_acc_test.yaml b/configs/quick_schedules/mask_rcnn_R_50_C4_inference_acc_test.yaml
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diff --git a/configs/quick_schedules/mask_rcnn_R_50_C4_instant_test.yaml b/configs/quick_schedules/mask_rcnn_R_50_C4_instant_test.yaml
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diff --git a/configs/quick_schedules/mask_rcnn_R_50_C4_training_acc_test.yaml b/configs/quick_schedules/mask_rcnn_R_50_C4_training_acc_test.yaml
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diff --git a/configs/quick_schedules/mask_rcnn_R_50_DC5_inference_acc_test.yaml b/configs/quick_schedules/mask_rcnn_R_50_DC5_inference_acc_test.yaml
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diff --git a/configs/quick_schedules/mask_rcnn_R_50_FPN_inference_acc_test.yaml b/configs/quick_schedules/mask_rcnn_R_50_FPN_inference_acc_test.yaml
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diff --git a/configs/quick_schedules/mask_rcnn_R_50_FPN_instant_test.yaml b/configs/quick_schedules/mask_rcnn_R_50_FPN_instant_test.yaml
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diff --git a/configs/quick_schedules/mask_rcnn_R_50_FPN_pred_boxes_training_acc_test.yaml b/configs/quick_schedules/mask_rcnn_R_50_FPN_pred_boxes_training_acc_test.yaml
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diff --git a/configs/quick_schedules/mask_rcnn_R_50_FPN_training_acc_test.yaml b/configs/quick_schedules/mask_rcnn_R_50_FPN_training_acc_test.yaml
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diff --git a/configs/quick_schedules/panoptic_fpn_R_50_inference_acc_test.yaml b/configs/quick_schedules/panoptic_fpn_R_50_inference_acc_test.yaml
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diff --git a/configs/quick_schedules/panoptic_fpn_R_50_instant_test.yaml b/configs/quick_schedules/panoptic_fpn_R_50_instant_test.yaml
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diff --git a/configs/quick_schedules/panoptic_fpn_R_50_training_acc_test.yaml b/configs/quick_schedules/panoptic_fpn_R_50_training_acc_test.yaml
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diff --git a/configs/quick_schedules/retinanet_R_50_FPN_inference_acc_test.yaml b/configs/quick_schedules/retinanet_R_50_FPN_inference_acc_test.yaml
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diff --git a/configs/quick_schedules/retinanet_R_50_FPN_instant_test.yaml b/configs/quick_schedules/retinanet_R_50_FPN_instant_test.yaml
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diff --git a/configs/quick_schedules/rpn_R_50_FPN_inference_acc_test.yaml b/configs/quick_schedules/rpn_R_50_FPN_inference_acc_test.yaml
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diff --git a/configs/quick_schedules/rpn_R_50_FPN_instant_test.yaml b/configs/quick_schedules/rpn_R_50_FPN_instant_test.yaml
old mode 100644
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diff --git a/configs/quick_schedules/semantic_R_50_FPN_inference_acc_test.yaml b/configs/quick_schedules/semantic_R_50_FPN_inference_acc_test.yaml
old mode 100644
new mode 100755
diff --git a/configs/quick_schedules/semantic_R_50_FPN_instant_test.yaml b/configs/quick_schedules/semantic_R_50_FPN_instant_test.yaml
old mode 100644
new mode 100755
diff --git a/configs/quick_schedules/semantic_R_50_FPN_training_acc_test.yaml b/configs/quick_schedules/semantic_R_50_FPN_training_acc_test.yaml
old mode 100644
new mode 100755
diff --git a/configs/COCO-InstanceSegmentation/mask_rcnn_R_101_FPN_3x.yaml b/configs/transfiner/mask_rcnn_R_101_FPN_3x.yaml
old mode 100644
new mode 100755
similarity index 86%
rename from configs/COCO-InstanceSegmentation/mask_rcnn_R_101_FPN_3x.yaml
rename to configs/transfiner/mask_rcnn_R_101_FPN_3x.yaml
index 1935a302d2d0fa7f69553b3fd50b5a7082c6c0d1..ad87a098a83e5d670378e7fa451bef3c6cc1f406
--- a/configs/COCO-InstanceSegmentation/mask_rcnn_R_101_FPN_3x.yaml
+++ b/configs/transfiner/mask_rcnn_R_101_FPN_3x.yaml
@@ -7,3 +7,4 @@ MODEL:
 SOLVER:
   STEPS: (210000, 250000)
   MAX_ITER: 270000
+OUTPUT_DIR: "./output_101_3x"
diff --git a/configs/COCO-InstanceSegmentation/mask_rcnn_R_101_FPN_3x_4gpu_transfiner_deform.yaml b/configs/transfiner/mask_rcnn_R_101_FPN_3x_deform.yaml
old mode 100644
new mode 100755
similarity index 60%
rename from configs/COCO-InstanceSegmentation/mask_rcnn_R_101_FPN_3x_4gpu_transfiner_deform.yaml
rename to configs/transfiner/mask_rcnn_R_101_FPN_3x_deform.yaml
index 0e85038edcce2cfd676e518e01274d7670cfa57a..157f74d4078260d1261985d68cfde47cca5a80c9
--- a/configs/COCO-InstanceSegmentation/mask_rcnn_R_101_FPN_3x_4gpu_transfiner_deform.yaml
+++ b/configs/transfiner/mask_rcnn_R_101_FPN_3x_deform.yaml
@@ -1,6 +1,6 @@
-_BASE_: "../Base-RCNN-FPN-4gpu.yaml"
+_BASE_: "../Base-RCNN-FPN.yaml"
 MODEL:
-  WEIGHTS: "./init_weights/model_final_a3ec72.pkl"
+  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-101.pkl"
   MASK_ON: True
   RESNETS:
     DEPTH: 101
@@ -9,3 +9,4 @@ MODEL:
 SOLVER:
   STEPS: (210000, 250000)
   MAX_ITER: 270000
+OUTPUT_DIR: "./output_101_3x_deform"
diff --git a/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_1x.yaml b/configs/transfiner/mask_rcnn_R_50_FPN_1x.yaml
old mode 100644
new mode 100755
similarity index 82%
rename from configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_1x.yaml
rename to configs/transfiner/mask_rcnn_R_50_FPN_1x.yaml
index d50fb866ca7811a87b42555c7213f88e00bf6df1..e0cfed630dcce0da04c1461e72197e11bdc820c8
--- a/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_1x.yaml
+++ b/configs/transfiner/mask_rcnn_R_50_FPN_1x.yaml
@@ -4,3 +4,4 @@ MODEL:
   MASK_ON: True
   RESNETS:
     DEPTH: 50
+OUTPUT_DIR: "./output_r50_1x"
diff --git a/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x.yaml b/configs/transfiner/mask_rcnn_R_50_FPN_3x.yaml
old mode 100644
new mode 100755
similarity index 86%
rename from configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x.yaml
rename to configs/transfiner/mask_rcnn_R_50_FPN_3x.yaml
index be7d06b8e0f032ee7fcaabd7c122158518489fd2..9f75563b51e1e071d9c70f7254c4495f2085fa12
--- a/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x.yaml
+++ b/configs/transfiner/mask_rcnn_R_50_FPN_3x.yaml
@@ -7,3 +7,4 @@ MODEL:
 SOLVER:
   STEPS: (210000, 250000)
   MAX_ITER: 270000
+OUTPUT_DIR: "./output_r50_3x"
diff --git a/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x_4gpu_transfiner_deform.yaml b/configs/transfiner/mask_rcnn_R_50_FPN_3x_deform.yaml
old mode 100644
new mode 100755
similarity index 60%
rename from configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x_4gpu_transfiner_deform.yaml
rename to configs/transfiner/mask_rcnn_R_50_FPN_3x_deform.yaml
index d4ef02309eade988e17afcdd2fe4c4c8f96a23e7..2354b3419225809fd660c09779a3ee94841f5cdb
--- a/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x_4gpu_transfiner_deform.yaml
+++ b/configs/transfiner/mask_rcnn_R_50_FPN_3x_deform.yaml
@@ -1,6 +1,6 @@
-_BASE_: "../Base-RCNN-FPN-4gpu.yaml"
+_BASE_: "../Base-RCNN-FPN.yaml"
 MODEL:
-  WEIGHTS: "./init_weights/model_final_f10217.pkl"
+  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
   MASK_ON: True
   RESNETS:
     DEPTH: 50
@@ -9,3 +9,4 @@ MODEL:
 SOLVER:
   STEPS: (210000, 250000)
   MAX_ITER: 270000
+OUTPUT_DIR: "./output_r50_3x_deform"