unify log_smooth_windows and log_iter (#1530)

* unify log_smooth_windows and log_iter

test=develop

* remove duplicate log_iter

* remain mobile yml, since they are soft-link

test=develop

configs/acfpn/faster_rcnn_r50_vd_acfpn_1x.yml

@@ -2,7 +2,7 @@ architecture: FasterRCNN
 max_iters: 90000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar
 weights: output/faster_rcnn_r50_vd_acfpn_1x/model_final

configs/anchor_free/cornernet_squeeze_dcn_r50_vd_fpn.yml

 architecture: CornerNetSqueeze
 use_gpu: true
 max_iters: 500000
-log_smooth_window: 20
 log_iter: 20
 save_dir: output
 snapshot_iter: 10000

configs/anchor_free/cornernet_squeeze_dcn_r50_vd_fpn_mixup_cosine.yml

 architecture: CornerNetSqueeze
 use_gpu: true
 max_iters: 500000
-log_smooth_window: 20
 log_iter: 20
 save_dir: output
 snapshot_iter: 10000

configs/anchor_free/cornernet_squeeze_hg104.yml

 architecture: CornerNetSqueeze
 use_gpu: true
 max_iters: 500000
-log_smooth_window: 20
 log_iter: 20
 save_dir: output
 snapshot_iter: 10000

configs/anchor_free/cornernet_squeeze_r50_vd_fpn.yml

 architecture: CornerNetSqueeze
 use_gpu: true
 max_iters: 500000
-log_smooth_window: 20
 log_iter: 20
 save_dir: output
 snapshot_iter: 10000

configs/anchor_free/fcos_dcn_r50_fpn_1x.yml

@@ -2,7 +2,6 @@ architecture: FCOS
 max_iters: 90000
 use_gpu: true
 snapshot_iter: 5000
-log_smooth_window: 20
 log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar

configs/anchor_free/fcos_dcn_r50_fpn_1x_cutmix.yml

@@ -2,7 +2,6 @@ architecture: FCOS
 max_iters: 90000
 use_gpu: true
 snapshot_iter: 5000
-log_smooth_window: 20
 log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar

configs/anchor_free/fcos_r50_fpn_1x.yml

@@ -2,7 +2,6 @@ architecture: FCOS
 max_iters: 90000
 use_gpu: true
 snapshot_iter: 10000
-log_smooth_window: 20
 log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar

configs/anchor_free/fcos_r50_fpn_multiscale_2x.yml

@@ -2,7 +2,6 @@ architecture: FCOS
 max_iters: 180000
 use_gpu: true
 snapshot_iter: 20000
-log_smooth_window: 20
 log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar

configs/anchor_free/ttfnet_darknet.yml

 architecture: TTFNet
 use_gpu: true
 max_iters: 15000
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 snapshot_iter: 1000
 metric: COCO

configs/autoaugment/faster_rcnn_r101_vd_fpn_aa_3x.yml

@@ -2,7 +2,7 @@ architecture: FasterRCNN
 max_iters: 270000
 snapshot_iter: 30000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_vd_pretrained.tar
 weights: output/faster_rcnn_r101_vd_fpn_aa_3x/model_final

configs/autoaugment/faster_rcnn_r50_vd_fpn_aa_3x.yml

@@ -2,7 +2,7 @@ architecture: FasterRCNN
 max_iters: 270000
 snapshot_iter: 30000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar
 weights: output/faster_rcnn_r50_vd_fpn_aa_3x/model_final

configs/cascade_mask_rcnn_r50_fpn_1x.yml

@@ -2,7 +2,7 @@ architecture: CascadeMaskRCNN
 use_gpu: true
 max_iters: 180000
 snapshot_iter: 10000
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
 metric: COCO

configs/cascade_rcnn_cls_aware_r101_vd_fpn_1x_softnms.yml

@@ -2,7 +2,7 @@ architecture: CascadeRCNNClsAware
 max_iters: 90000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_vd_pretrained.tar
 weights: output/cascade_rcnn_cls_aware_r101_vd_fpn_1x_softnms/model_final

configs/cascade_rcnn_cls_aware_r101_vd_fpn_ms_test.yml

@@ -2,7 +2,7 @@ architecture: CascadeRCNNClsAware
 max_iters: 90000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_vd_pretrained.tar
 weights: output/cascade_rcnn_cls_aware_r101_vd_fpn_ms_test/model_final

configs/cascade_rcnn_r50_fpn_1x.yml

@@ -2,7 +2,7 @@ architecture: CascadeRCNN
 max_iters: 90000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
 weights: output/cascade_rcnn_r50_fpn_1x/model_final

configs/cascade_rcnn_r50_fpn_1x_ms_test.yml

@@ -2,7 +2,7 @@ architecture: CascadeRCNN
 max_iters: 90000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
 weights: output/cascade_rcnn_r50_fpn_1x/model_final

configs/dcn/cascade_mask_rcnn_dcnv2_se154_vd_fpn_gn_s1x.yml

@@ -3,7 +3,6 @@ max_iters: 300000
 snapshot_iter: 10
 use_gpu: true
 log_iter: 20
-log_smooth_window: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/SENet154_vd_caffe_pretrained.tar
 weights: output/cascade_mask_rcnn_dcn_se154_vd_fpn_gn_s1x/model_final

configs/dcn/cascade_mask_rcnn_dcnv2_se154_vd_fpn_gn_s1x_ms_test.yml

@@ -3,7 +3,6 @@ max_iters: 300000
 snapshot_iter: 10000
 use_gpu: true
 log_iter: 20
-log_smooth_window: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/SENet154_vd_caffe_pretrained.tar
 weights: output/cascade_mask_rcnn_dcn_se154_vd_fpn_gn_s1x/model_final

configs/dcn/cascade_rcnn_cbr200_vd_fpn_dcnv2_nonlocal_softnms.yml

@@ -2,7 +2,7 @@ architecture: CascadeRCNN
 max_iters: 460000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/CBResNet200_vd_pretrained.tar
 weights: output/cascade_rcnn_cbr200_vd_fpn_dcnv2_nonlocal_softnms/model_final

configs/dcn/cascade_rcnn_cls_aware_r200_vd_fpn_dcnv2_nonlocal_softnms.yml

@@ -2,7 +2,7 @@ architecture: CascadeRCNNClsAware
 max_iters: 460000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet200_vd_pretrained.tar
 weights: output/cascade_rcnn_cls_aware_r200_vd_fpn_dcnv2_nonlocal_softnms/model_final

configs/dcn/cascade_rcnn_dcn_r101_vd_fpn_1x.yml

@@ -2,7 +2,6 @@ architecture: CascadeRCNN
 max_iters: 90000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
 log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_vd_pretrained.tar

configs/dcn/cascade_rcnn_dcn_r50_fpn_1x.yml

@@ -2,7 +2,6 @@ architecture: CascadeRCNN
 max_iters: 90000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
 log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar

configs/dcn/cascade_rcnn_dcn_x101_vd_64x4d_fpn_1x.yml

@@ -2,7 +2,6 @@ architecture: CascadeRCNN
 max_iters: 90000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
 log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNeXt101_vd_64x4d_pretrained.tar

configs/dcn/faster_rcnn_dcn_r101_vd_fpn_1x.yml

@@ -2,7 +2,6 @@ architecture: FasterRCNN
 max_iters: 90000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
 log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_vd_pretrained.tar

configs/dcn/faster_rcnn_dcn_r50_fpn_1x.yml

@@ -2,7 +2,6 @@ architecture: FasterRCNN
 max_iters: 90000
 use_gpu: true
 snapshot_iter: 10000
-log_smooth_window: 20
 log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar

configs/dcn/faster_rcnn_dcn_r50_vd_fpn_2x.yml

@@ -2,7 +2,6 @@ architecture: FasterRCNN
 max_iters: 180000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
 log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar

configs/dcn/faster_rcnn_dcn_x101_vd_64x4d_fpn_1x.yml

@@ -2,7 +2,6 @@ architecture: FasterRCNN
 max_iters: 180000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
 log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNeXt101_vd_64x4d_pretrained.tar

configs/dcn/mask_rcnn_dcn_r101_vd_fpn_1x.yml

@@ -2,7 +2,6 @@ architecture: MaskRCNN
 max_iters: 180000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
 log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_vd_pretrained.tar

configs/dcn/mask_rcnn_dcn_r50_fpn_1x.yml

@@ -2,7 +2,6 @@ architecture: MaskRCNN
 use_gpu: true
 max_iters: 180000
 snapshot_iter: 10000
-log_smooth_window: 20
 log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar

configs/dcn/mask_rcnn_dcn_r50_vd_fpn_2x.yml

@@ -2,7 +2,6 @@ architecture: MaskRCNN
 use_gpu: true
 max_iters: 360000
 snapshot_iter: 10000
-log_smooth_window: 20
 log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar

configs/dcn/mask_rcnn_dcn_x101_vd_64x4d_fpn_1x.yml

@@ -2,7 +2,6 @@ architecture: MaskRCNN
 max_iters: 180000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
 log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNeXt101_vd_64x4d_pretrained.tar

configs/dcn/yolov3_r50vd_dcn.yml

 architecture: YOLOv3
 use_gpu: true
 max_iters: 500000
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 snapshot_iter: 20000
 metric: COCO

configs/dcn/yolov3_r50vd_dcn_db_iouaware_obj365_pretrained_coco.yml

 architecture: YOLOv3
 use_gpu: true
 max_iters: 85000
-log_smooth_window: 1
+log_iter: 1
 save_dir: output
 snapshot_iter: 10000
 metric: COCO

configs/dcn/yolov3_r50vd_dcn_db_iouloss_obj365_pretrained_coco.yml

 architecture: YOLOv3
 use_gpu: true
 max_iters: 85000
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 snapshot_iter: 10000
 metric: COCO

configs/dcn/yolov3_r50vd_dcn_db_obj365_pretrained_coco.yml

 architecture: YOLOv3
 use_gpu: true
 max_iters: 85000
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 snapshot_iter: 10000
 metric: COCO

configs/dcn/yolov3_r50vd_dcn_obj365_pretrained_coco.yml

 architecture: YOLOv3
 use_gpu: true
 max_iters: 85000
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 snapshot_iter: 10000
 metric: COCO

configs/efficientdet_d0.yml

@@ -3,7 +3,7 @@ max_iters: 281250
 use_gpu: true
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB0_pretrained.tar
 weights: output/efficientdet_d0/model_final
-log_smooth_window: 20
+log_iter: 20
 snapshot_iter: 10000
 metric: COCO
 save_dir: output

configs/face_detection/blazeface.yml

@@ -3,7 +3,6 @@ max_iters: 320000
 pretrain_weights:
 use_gpu: true
 snapshot_iter: 10000
-log_smooth_window: 20
 log_iter: 20
 metric: WIDERFACE
 save_dir: output

configs/face_detection/blazeface_keypoint.yml

@@ -3,7 +3,6 @@ max_iters: 160000
 pretrain_weights:
 use_gpu: true
 snapshot_iter: 10000
-log_smooth_window: 20
 log_iter: 20
 metric: WIDERFACE
 save_dir: output

configs/face_detection/blazeface_nas.yml

@@ -3,7 +3,6 @@ max_iters: 320000
 pretrain_weights:
 use_gpu: true
 snapshot_iter: 10000
-log_smooth_window: 20
 log_iter: 20
 metric: WIDERFACE
 save_dir: output

configs/face_detection/blazeface_nas_v2.yml

@@ -3,7 +3,6 @@ max_iters: 320000
 pretrain_weights:
 use_gpu: true
 snapshot_iter: 10000
-log_smooth_window: 20
 log_iter: 20
 metric: WIDERFACE
 save_dir: output

configs/face_detection/faceboxes.yml

@@ -3,7 +3,6 @@ pretrain_weights:
 use_gpu: true
 max_iters: 320000
 snapshot_iter: 10000
-log_smooth_window: 20
 log_iter: 20
 metric: WIDERFACE
 save_dir: output

configs/face_detection/faceboxes_lite.yml

@@ -3,7 +3,6 @@ pretrain_weights:
 use_gpu: true
 max_iters: 320000
 snapshot_iter: 10000
-log_smooth_window: 20
 log_iter: 20
 metric: WIDERFACE
 save_dir: output

configs/faster_rcnn_cbr101_vd_dual_fpn_1x.yml

@@ -2,7 +2,7 @@ architecture: FasterRCNN
 max_iters: 90000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/CBResNet101_vd_pretrained.tar
 weights: output/faster_rcnn_cbr101_vd_dual_fpn_1x/model_final

configs/faster_rcnn_cbr50_vd_dual_fpn_1x.yml

@@ -2,7 +2,7 @@ architecture: FasterRCNN
 max_iters: 90000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/CBResNet50_vd_pretrained.tar
 weights: output/faster_rcnn_cbr50_vd_dual_fpn_1x/model_final

configs/faster_rcnn_r101_1x.yml

 architecture: FasterRCNN
 use_gpu: true
 max_iters: 180000
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 snapshot_iter: 10000
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_pretrained.tar

configs/faster_rcnn_r101_fpn_1x.yml

@@ -2,7 +2,7 @@ architecture: FasterRCNN
 max_iters: 180000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: http://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_pretrained.tar
 weights: output/faster_rcnn_r101_fpn_1x/model_final

configs/faster_rcnn_r101_fpn_2x.yml

@@ -2,7 +2,7 @@ architecture: FasterRCNN
 max_iters: 360000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: http://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_pretrained.tar
 weights: output/faster_rcnn_r101_fpn_2x/model_final

configs/faster_rcnn_r101_vd_fpn_1x.yml

@@ -2,7 +2,7 @@ architecture: FasterRCNN
 max_iters: 180000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_vd_pretrained.tar
 weights: output/faster_rcnn_r101_vd_fpn_1x/model_final

configs/faster_rcnn_r101_vd_fpn_2x.yml

@@ -2,7 +2,7 @@ architecture: FasterRCNN
 max_iters: 360000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_vd_pretrained.tar
 weights: output/faster_rcnn_r101_vd_fpn_2x/model_final

configs/faster_rcnn_r34_fpn_1x.yml

@@ -2,7 +2,7 @@ architecture: FasterRCNN
 max_iters: 90000
 use_gpu: true
 snapshot_iter: 10000
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet34_pretrained.tar
 metric: COCO

configs/faster_rcnn_r34_vd_fpn_1x.yml

@@ -2,7 +2,7 @@ architecture: FasterRCNN
 max_iters: 90000
 use_gpu: true
 snapshot_iter: 10000
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet34_vd_pretrained.tar
 metric: COCO

configs/faster_rcnn_r50_1x.yml

 architecture: FasterRCNN
 use_gpu: true
 max_iters: 180000
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 snapshot_iter: 10000
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar

configs/faster_rcnn_r50_2x.yml

 architecture: FasterRCNN
 use_gpu: true
 max_iters: 360000
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 snapshot_iter: 10000
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar

configs/faster_rcnn_r50_fpn_1x.yml

@@ -2,7 +2,7 @@ architecture: FasterRCNN
 max_iters: 90000
 use_gpu: true
 snapshot_iter: 10000
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
 metric: COCO

configs/faster_rcnn_r50_fpn_2x.yml

@@ -2,7 +2,7 @@ architecture: FasterRCNN
 max_iters: 180000
 use_gpu: true
 snapshot_iter: 10000
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
 metric: COCO

configs/faster_rcnn_r50_vd_1x.yml

 architecture: FasterRCNN
 use_gpu: true
 max_iters: 180000
-log_smooth_window: 20
+log_iter: 20
 save_dir: output/faster-r50-vd-c4-1x
 snapshot_iter: 10000
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar

configs/faster_rcnn_r50_vd_fpn_2x.yml

@@ -2,7 +2,7 @@ architecture: FasterRCNN
 max_iters: 180000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar
 weights: output/faster_rcnn_r50_vd_fpn_2x/model_final

configs/faster_rcnn_se154_vd_fpn_s1x.yml

@@ -2,7 +2,7 @@ architecture: FasterRCNN
 max_iters: 260000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/SENet154_vd_pretrained.tar
 weights: output/faster_rcnn_se154_vd_fpn_s1x/model_final

configs/faster_rcnn_x101_vd_64x4d_fpn_1x.yml

@@ -2,7 +2,7 @@ architecture: FasterRCNN
 max_iters: 180000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNeXt101_vd_64x4d_pretrained.tar
 weights: output/faster_rcnn_x101_vd_64x4d_fpn_1x/model_final

configs/faster_rcnn_x101_vd_64x4d_fpn_2x.yml

@@ -2,7 +2,7 @@ architecture: FasterRCNN
 max_iters: 360000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNeXt101_vd_64x4d_pretrained.tar
 weights: output/faster_rcnn_x101_vd_64x4d_fpn_1x/model_final

configs/gcnet/mask_rcnn_r50_vd_fpn_gcb_add_r16_2x.yml

@@ -2,7 +2,7 @@ architecture: MaskRCNN
 use_gpu: true
 max_iters: 180000
 snapshot_iter: 10000
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar
 metric: COCO

configs/gcnet/mask_rcnn_r50_vd_fpn_gcb_mul_r16_2x.yml

@@ -2,7 +2,7 @@ architecture: MaskRCNN
 use_gpu: true
 max_iters: 180000
 snapshot_iter: 10000
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar
 metric: COCO

configs/gn/cascade_mask_rcnn_r50_fpn_gn_2x.yml

@@ -2,7 +2,7 @@ architecture: CascadeMaskRCNN
 max_iters: 180000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
 weights: output/cascade_mask_rcnn_r50_fpn_gn_2x/model_final

configs/gn/faster_rcnn_r50_fpn_gn_2x.yml

@@ -2,7 +2,7 @@ architecture: FasterRCNN
 max_iters: 180000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
 metric: COCO

configs/gn/mask_rcnn_r50_fpn_gn_2x.yml

@@ -2,7 +2,7 @@ architecture: MaskRCNN
 max_iters: 360000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
 weights: output/mask_rcnn_r50_fpn_gn_2x/model_final

configs/gridmask/faster_rcnn_r50_vd_fpn_gridmask_4x.yml

@@ -2,7 +2,7 @@ architecture: FasterRCNN
 max_iters: 360000
 snapshot_iter: 40000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar
 weights: output/faster_rcnn_r50_vd_fpn_gridmask_4x/model_final

configs/hrnet/faster_rcnn_hrnetv2p_w18_1x.yml

@@ -2,7 +2,7 @@ architecture: FasterRCNN
 max_iters: 90000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/HRNet_W18_C_pretrained.tar
 weights: output/faster_rcnn_hrnetv2p_w18_1x/model_final

configs/hrnet/faster_rcnn_hrnetv2p_w18_2x.yml

@@ -2,7 +2,7 @@ architecture: FasterRCNN
 max_iters: 180000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/HRNet_W18_C_pretrained.tar
 weights: output/faster_rcnn_hrnetv2p_w18_2x/model_final

configs/htc/htc_r50_fpn_1x.yml

@@ -2,7 +2,7 @@ architecture: HybridTaskCascade
 use_gpu: true
 max_iters: 180000
 snapshot_iter: 10000
-log_smooth_window: 50
+log_iter: 50
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
 metric: COCO

configs/iou_loss/faster_rcnn_r50_vd_fpn_ciou_loss_1x.yml

@@ -2,7 +2,7 @@ architecture: FasterRCNN
 max_iters: 90000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar
 weights: output/faster_rcnn_r50_vd_fpn_diou_loss_1x/model_final

configs/iou_loss/faster_rcnn_r50_vd_fpn_diou_loss_1x.yml

@@ -2,7 +2,7 @@ architecture: FasterRCNN
 max_iters: 90000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar
 weights: output/faster_rcnn_r50_vd_fpn_diou_loss_1x/model_final

configs/iou_loss/faster_rcnn_r50_vd_fpn_giou_loss_1x.yml

@@ -2,7 +2,7 @@ architecture: FasterRCNN
 max_iters: 90000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar
 weights: output/faster_rcnn_r50_vd_fpn_giou_loss_1x/model_final

configs/libra_rcnn/libra_rcnn_r101_vd_fpn_1x.yml

@@ -2,7 +2,7 @@ architecture: FasterRCNN
 max_iters: 90000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_vd_pretrained.tar
 weights: output/libra_rcnn_r101_vd_fpn_1x/model_final

configs/libra_rcnn/libra_rcnn_r50_vd_fpn_1x.yml

@@ -2,7 +2,7 @@ architecture: FasterRCNN
 max_iters: 90000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar
 weights: output/libra_rcnn_r50_vd_fpn_1x/model_final

configs/mask_rcnn_r101_fpn_1x.yml

@@ -2,7 +2,7 @@ architecture: MaskRCNN
 use_gpu: true
 max_iters: 180000
 snapshot_iter: 10000
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_pretrained.tar
 metric: COCO

configs/mask_rcnn_r101_vd_fpn_1x.yml

@@ -2,7 +2,7 @@ architecture: MaskRCNN
 max_iters: 180000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_vd_pretrained.tar
 weights: output/mask_rcnn_r101_vd_fpn_1x/model_final

configs/mask_rcnn_r50_1x.yml

@@ -2,7 +2,7 @@ architecture: MaskRCNN
 use_gpu: true
 max_iters: 180000
 snapshot_iter: 10000
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
 metric: COCO

configs/mask_rcnn_r50_2x.yml

@@ -2,7 +2,7 @@ architecture: MaskRCNN
 use_gpu: true
 max_iters: 360000
 snapshot_iter: 10000
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
 metric: COCO

configs/mask_rcnn_r50_fpn_1x.yml

@@ -2,7 +2,7 @@ architecture: MaskRCNN
 use_gpu: true
 max_iters: 180000
 snapshot_iter: 10000
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
 metric: COCO

configs/mask_rcnn_r50_fpn_2x.yml

@@ -2,7 +2,7 @@ architecture: MaskRCNN
 max_iters: 360000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
 weights: output/mask_rcnn_r50_fpn_2x/model_final

configs/mask_rcnn_r50_vd_fpn_2x.yml

@@ -2,7 +2,7 @@ architecture: MaskRCNN
 use_gpu: true
 max_iters: 360000
 snapshot_iter: 10000
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar
 metric: COCO

configs/mask_rcnn_se154_vd_fpn_s1x.yml

@@ -2,7 +2,7 @@ architecture: MaskRCNN
 max_iters: 260000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/SENet154_vd_pretrained.tar
 weights: output/mask_rcnn_se154_vd_fpn_s1x/model_final

configs/mask_rcnn_x101_vd_64x4d_fpn_1x.yml

@@ -2,7 +2,7 @@ architecture: MaskRCNN
 max_iters: 180000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNeXt101_vd_64x4d_pretrained.tar
 weights: output/mask_rcnn_x101_vd_64x4d_fpn_1x/model_final

configs/mask_rcnn_x101_vd_64x4d_fpn_2x.yml

@@ -2,7 +2,7 @@ architecture: MaskRCNN
 max_iters: 360000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNeXt101_vd_64x4d_pretrained.tar
 weights: output/mask_rcnn_x101_vd_64x4d_fpn_2x/model_final

configs/mobile/cascade_rcnn_mobilenetv3_fpn_320.yml

@@ -2,7 +2,7 @@ architecture: CascadeRCNN
 max_iters: 500000
 snapshot_iter: 50000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV3_large_x1_0_ssld_pretrained.tar
 weights: output/cascade_rcnn_mobilenetv3_fpn_320/model_final

configs/mobile/cascade_rcnn_mobilenetv3_fpn_640.yml

@@ -2,7 +2,7 @@ architecture: CascadeRCNN
 max_iters: 500000
 snapshot_iter: 50000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV3_large_x1_0_ssld_pretrained.tar
 weights: output/cascade_rcnn_mobilenetv3_fpn_640/model_final

configs/obj365/cascade_rcnn_cls_aware_r200_vd_fpn_dcnv2_nonlocal_softnms.yml

@@ -2,7 +2,7 @@ architecture: CascadeRCNNClsAware
 max_iters: 800000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet200_vd_pretrained.tar
 weights: output/cascade_rcnn_cls_aware_r200_vd_fpn_dcnv2_nonlocal_softnms/model_final

configs/obj365/cascade_rcnn_dcnv2_se154_vd_fpn_gn_cas.yml

@@ -3,7 +3,6 @@ max_iters: 500000
 snapshot_iter: 10000
 use_gpu: true
 log_iter: 20
-log_smooth_window: 20
 save_dir: output
 pretrain_weights: https://paddlemodels.bj.bcebos.com/object_detection/cascade_mask_rcnn_dcnv2_se154_vd_fpn_gn_coco_pretrained.tar
 weights: output/cascade_rcnn_dcnv2_se154_vd_fpn_gn_cas/model_final

configs/oidv5/cascade_rcnn_cls_aware_r200_vd_fpn_dcnv2_nonlocal_softnms.yml

@@ -2,7 +2,7 @@ architecture: CascadeRCNNClsAware
 max_iters: 1500000
 snapshot_iter: 10000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet200_vd_pretrained.tar
 weights: output/cascade_rcnn_cls_aware_r200_vd_fpn_dcnv2_nonlocal_softnms/model_final

configs/ppyolo/ppyolo.yml

 architecture: YOLOv3
 use_gpu: true
 max_iters: 250000
-log_smooth_window: 100
 log_iter: 100
 save_dir: output
 snapshot_iter: 10000

configs/ppyolo/ppyolo_2x.yml

 architecture: YOLOv3
 use_gpu: true
 max_iters: 500000
-log_smooth_window: 100
 log_iter: 100
 save_dir: output
 snapshot_iter: 10000

configs/ppyolo/ppyolo_2x_bs12.yml

 architecture: YOLOv3
 use_gpu: true
 max_iters: 500000
-log_smooth_window: 100
 log_iter: 100
 save_dir: output
 snapshot_iter: 10000

configs/ppyolo/ppyolo_r18vd.yml

 architecture: YOLOv3
 use_gpu: true
 max_iters: 250000
-log_smooth_window: 20
 log_iter: 20
 save_dir: output
 snapshot_iter: 10000

configs/ppyolo/ppyolo_test.yml

@@ -3,7 +3,6 @@
 architecture: YOLOv3
 use_gpu: true
 max_iters: 500000
-log_smooth_window: 100
 log_iter: 100
 save_dir: output
 snapshot_iter: 10000

configs/random_erasing/faster_rcnn_r50_vd_fpn_random_erasing_4x.yml

@@ -2,7 +2,7 @@ architecture: FasterRCNN
 max_iters: 360000
 snapshot_iter: 40000
 use_gpu: true
-log_smooth_window: 20
+log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar
 weights: output/faster_rcnn_r50_vd_fpn_random_erasing_4x/model_final

configs/rcnn_enhance/cascade_rcnn_dcn_r101_vd_fpn_3x_server_side.yml

@@ -2,7 +2,6 @@ architecture: CascadeRCNN
 max_iters: 270000
 snapshot_iter: 30000
 use_gpu: true
-log_smooth_window: 20
 log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_vd_ssld_pretrained.tar

configs/rcnn_enhance/cascade_rcnn_dcn_r50_vd_fpn_3x_server_side.yml

@@ -2,7 +2,6 @@ architecture: CascadeRCNN
 max_iters: 270000
 snapshot_iter: 30000
 use_gpu: true
-log_smooth_window: 20
 log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_ssld_pretrained.tar

configs/rcnn_enhance/faster_rcnn_dcn_r50_vd_fpn_3x_server_side.yml

@@ -2,7 +2,6 @@ architecture: FasterRCNN
 max_iters: 270000
 snapshot_iter: 30000
 use_gpu: true
-log_smooth_window: 20
 log_iter: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_ssld_pretrained.tar