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Bugfix: incorrect BACKBONE_OUT_CHANNELS due to duplicate RESNET keys in yaml files #545

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merged 1 commit into from Mar 9, 2019
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Bugfix: incorrect BACKBONE_OUT_CHANNELS due to duplicate RESNET keys in yaml files #545

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7 changes: 3 additions & 4 deletions configs/caffe2/e2e_faster_rcnn_X_101_32x8d_FPN_1x_caffe2.yaml
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Expand Up @@ -5,6 +5,9 @@ MODEL:
CONV_BODY: "R-101-FPN"
RESNETS:
BACKBONE_OUT_CHANNELS: 256
STRIDE_IN_1X1: False
NUM_GROUPS: 32
WIDTH_PER_GROUP: 8
RPN:
USE_FPN: True
ANCHOR_STRIDE: (4, 8, 16, 32, 64)
Expand All @@ -20,10 +23,6 @@ MODEL:
POOLER_SAMPLING_RATIO: 2
FEATURE_EXTRACTOR: "FPN2MLPFeatureExtractor"
PREDICTOR: "FPNPredictor"
RESNETS:
STRIDE_IN_1X1: False
NUM_GROUPS: 32
WIDTH_PER_GROUP: 8
DATASETS:
TEST: ("coco_2014_minival",)
DATALOADER:
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7 changes: 3 additions & 4 deletions configs/quick_schedules/e2e_faster_rcnn_X_101_32x8d_FPN_quick.yaml
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Expand Up @@ -5,6 +5,9 @@ MODEL:
CONV_BODY: "R-101-FPN"
RESNETS:
BACKBONE_OUT_CHANNELS: 256
STRIDE_IN_1X1: False
NUM_GROUPS: 32
WIDTH_PER_GROUP: 8
RPN:
USE_FPN: True
ANCHOR_STRIDE: (4, 8, 16, 32, 64)
Expand All @@ -21,10 +24,6 @@ MODEL:
POOLER_SAMPLING_RATIO: 2
FEATURE_EXTRACTOR: "FPN2MLPFeatureExtractor"
PREDICTOR: "FPNPredictor"
RESNETS:
STRIDE_IN_1X1: False
NUM_GROUPS: 32
WIDTH_PER_GROUP: 8
DATASETS:
TRAIN: ("coco_2014_minival",)
TEST: ("coco_2014_minival",)
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7 changes: 3 additions & 4 deletions configs/quick_schedules/e2e_mask_rcnn_X_101_32x8d_FPN_quick.yaml
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Expand Up @@ -5,6 +5,9 @@ MODEL:
CONV_BODY: "R-101-FPN"
RESNETS:
BACKBONE_OUT_CHANNELS: 256
STRIDE_IN_1X1: False
NUM_GROUPS: 32
WIDTH_PER_GROUP: 8
RPN:
USE_FPN: True
ANCHOR_STRIDE: (4, 8, 16, 32, 64)
Expand All @@ -29,10 +32,6 @@ MODEL:
POOLER_SAMPLING_RATIO: 2
RESOLUTION: 28
SHARE_BOX_FEATURE_EXTRACTOR: False
RESNETS:
STRIDE_IN_1X1: False
NUM_GROUPS: 32
WIDTH_PER_GROUP: 8
MASK_ON: True
DATASETS:
TRAIN: ("coco_2014_minival",)
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7 changes: 3 additions & 4 deletions configs/retinanet/retinanet_X_101_32x8d_FPN_1x.yaml
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Expand Up @@ -7,6 +7,9 @@ MODEL:
CONV_BODY: "R-101-FPN-RETINANET"
RESNETS:
BACKBONE_OUT_CHANNELS: 256
STRIDE_IN_1X1: False
NUM_GROUPS: 32
WIDTH_PER_GROUP: 8
RPN:
USE_FPN: True
FG_IOU_THRESHOLD: 0.5
Expand All @@ -25,10 +28,6 @@ MODEL:
POOLER_SAMPLING_RATIO: 2
FEATURE_EXTRACTOR: "FPN2MLPFeatureExtractor"
PREDICTOR: "FPNPredictor"
RESNETS:
STRIDE_IN_1X1: False
NUM_GROUPS: 32
WIDTH_PER_GROUP: 8
RETINANET:
SCALES_PER_OCTAVE: 3
STRADDLE_THRESH: -1
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7 changes: 3 additions & 4 deletions configs/rpn_X_101_32x8d_FPN_1x.yaml
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Expand Up @@ -6,16 +6,15 @@ MODEL:
CONV_BODY: "R-101-FPN"
RESNETS:
BACKBONE_OUT_CHANNELS: 256
STRIDE_IN_1X1: False
NUM_GROUPS: 32
WIDTH_PER_GROUP: 8
RPN:
USE_FPN: True
ANCHOR_STRIDE: (4, 8, 16, 32, 64)
PRE_NMS_TOP_N_TEST: 1000
POST_NMS_TOP_N_TEST: 2000
FPN_POST_NMS_TOP_N_TEST: 2000
RESNETS:
STRIDE_IN_1X1: False
NUM_GROUPS: 32
WIDTH_PER_GROUP: 8
DATASETS:
TRAIN: ("coco_2014_train", "coco_2014_valminusminival")
TEST: ("coco_2014_minival",)
Expand Down