Clean up config files (#2585)

* Clean up config files

- reorder: batch_size -> data_set -> sample_transforms -> batch_transforms -> worker -> other
- unify bool values, lower case true/false
- remove `null` values
- remove `shuffle` settings, covered by default values

* Update ResNet50 pretrained weight url

* Remove `use_padded_im_info` settings, covered by default value

PaddleCV/object_detection/configs/cascade_rcnn_r50_fpn_1x.yml

@@ -7,7 +7,7 @@ snapshot_iter: 10000
 use_gpu: true
 log_smooth_window: 20
 save_dir: output
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_pretrained.tar
+pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
 weights: output/cascade_rcnn_r50_fpn_1x/model_final
 metric: COCO
 
@@ -107,34 +107,32 @@ OptimizerBuilder:
 
 FasterRCNNTrainFeed:
   batch_size: 2
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     annotation: annotations/instances_train2017.json
     image_dir: train2017
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   drop_last: false
   num_workers: 2
-  shuffle: true
 
 FasterRCNNEvalFeed:
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     annotation: annotations/instances_val2017.json
     image_dir: val2017
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
 
 FasterRCNNTestFeed:
   batch_size: 1
+  dataset:
+    annotation: annotations/instances_val2017.json
   batch_transforms:
   - !PadBatch
     pad_to_stride: 32
-  dataset:
-    annotation: annotations/instances_val2017.json
   drop_last: false
   num_workers: 2
-  shuffle: false

PaddleCV/object_detection/configs/faster_rcnn_r101_1x.yml

@@ -2,7 +2,7 @@ architecture: FasterRCNN
 train_feed: FasterRCNNTrainFeed
 eval_feed: FasterRCNNEvalFeed
 test_feed: FasterRCNNTestFeed
-use_gpu: True
+use_gpu: true
 max_iters: 180000
 log_smooth_window: 20
 save_dir: output

PaddleCV/object_detection/configs/faster_rcnn_r101_fpn_1x.yml

@@ -4,7 +4,7 @@ eval_feed: FasterRCNNEvalFeed
 test_feed: FasterRCNNTestFeed
 max_iters: 180000
 snapshot_iter: 10000
-use_gpu: True
+use_gpu: true
 log_smooth_window: 20
 save_dir: output
 pretrain_weights: http://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_pretrained.tar
@@ -92,7 +92,6 @@ LearningRate:
   - !PiecewiseDecay
     gamma: 0.1
     milestones: [120000, 160000]
-    values: null
   - !LinearWarmup
     start_factor: 0.3333333333333333
     steps: 500
@@ -108,33 +107,31 @@ OptimizerBuilder:
 FasterRCNNTrainFeed:
   # batch size per device
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     image_dir: train2017
     annotation: annotations/instances_train2017.json
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   num_workers: 2
-  shuffle: True
 
 FasterRCNNEvalFeed:
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     annotation: annotations/instances_val2017.json
     image_dir: val2017
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   num_workers: 2
 
 FasterRCNNTestFeed:
   batch_size: 1
+  dataset:
+    annotation: annotations/instances_val2017.json
   batch_transforms:
   - !PadBatch
     pad_to_stride: 32
-  dataset:
-    annotation: annotations/instances_val2017.json
   num_workers: 2
-  shuffle: False

PaddleCV/object_detection/configs/faster_rcnn_r101_fpn_2x.yml

@@ -4,7 +4,7 @@ eval_feed: FasterRCNNEvalFeed
 test_feed: FasterRCNNTestFeed
 max_iters: 360000
 snapshot_iter: 10000
-use_gpu: True
+use_gpu: true
 log_smooth_window: 20
 save_dir: output
 pretrain_weights: http://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_pretrained.tar
@@ -92,7 +92,6 @@ LearningRate:
   - !PiecewiseDecay
     gamma: 0.1
     milestones: [240000, 320000]
-    values: null
   - !LinearWarmup
     start_factor: 0.3333333333333333
     steps: 500
@@ -108,33 +107,31 @@ OptimizerBuilder:
 FasterRCNNTrainFeed:
   # batch size per device
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     image_dir: train2017
     annotation: annotations/instances_train2017.json
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   num_workers: 2
-  shuffle: True
 
 FasterRCNNEvalFeed:
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     annotation: annotations/instances_val2017.json
     image_dir: val2017
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   num_workers: 2
 
 FasterRCNNTestFeed:
   batch_size: 1
+  dataset:
+    annotation: annotations/instances_val2017.json
   batch_transforms:
   - !PadBatch
     pad_to_stride: 32
-  dataset:
-    annotation: annotations/instances_val2017.json
   num_workers: 2
-  shuffle: False

PaddleCV/object_detection/configs/faster_rcnn_r101_vd_fpn_1x.yml

@@ -4,7 +4,7 @@ eval_feed: FasterRCNNEvalFeed
 test_feed: FasterRCNNTestFeed
 max_iters: 180000
 snapshot_iter: 10000
-use_gpu: True
+use_gpu: true
 log_smooth_window: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_vd_pretrained.tar
@@ -93,7 +93,6 @@ LearningRate:
   - !PiecewiseDecay
     gamma: 0.1
     milestones: [120000, 160000]
-    values: null
   - !LinearWarmup
     start_factor: 0.3333333333333333
     steps: 1000
@@ -109,33 +108,31 @@ OptimizerBuilder:
 FasterRCNNTrainFeed:
   # batch size per device
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     image_dir: train2017
     annotation: annotations/instances_train2017.json
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   num_workers: 2
-  shuffle: True
 
 FasterRCNNEvalFeed:
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     annotation: annotations/instances_val2017.json
     image_dir: val2017
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   num_workers: 2
 
 FasterRCNNTestFeed:
   batch_size: 1
+  dataset:
+    annotation: annotations/instances_val2017.json
   batch_transforms:
   - !PadBatch
     pad_to_stride: 32
-  dataset:
-    annotation: annotations/instances_val2017.json
   num_workers: 2
-  shuffle: False

PaddleCV/object_detection/configs/faster_rcnn_r101_vd_fpn_2x.yml

@@ -4,7 +4,7 @@ eval_feed: FasterRCNNEvalFeed
 test_feed: FasterRCNNTestFeed
 max_iters: 360000
 snapshot_iter: 10000
-use_gpu: True
+use_gpu: true
 log_smooth_window: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_vd_pretrained.tar
@@ -93,7 +93,6 @@ LearningRate:
   - !PiecewiseDecay
     gamma: 0.1
     milestones: [240000, 320000]
-    values: null
   - !LinearWarmup
     start_factor: 0.3333333333333333
     steps: 1000
@@ -109,33 +108,31 @@ OptimizerBuilder:
 FasterRCNNTrainFeed:
   # batch size per device
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     image_dir: train2017
     annotation: annotations/instances_train2017.json
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   num_workers: 2
-  shuffle: True
 
 FasterRCNNEvalFeed:
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     annotation: annotations/instances_val2017.json
     image_dir: val2017
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   num_workers: 2
 
 FasterRCNNTestFeed:
   batch_size: 1
+  dataset:
+    annotation: annotations/instances_val2017.json
   batch_transforms:
   - !PadBatch
     pad_to_stride: 32
-  dataset:
-    annotation: annotations/instances_val2017.json
   num_workers: 2
-  shuffle: False

PaddleCV/object_detection/configs/faster_rcnn_r50_1x.yml

@@ -2,12 +2,12 @@ architecture: FasterRCNN
 train_feed: FasterRCNNTrainFeed
 eval_feed: FasterRCNNEvalFeed
 test_feed: FasterRCNNTestFeed
-use_gpu: True
+use_gpu: true
 max_iters: 180000
 log_smooth_window: 20
 save_dir: output
 snapshot_iter: 10000
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_pretrained.tar
+pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
 metric: COCO
 weights: output/faster_rcnn_r50_1x/model_final
 

PaddleCV/object_detection/configs/faster_rcnn_r50_2x.yml

@@ -2,12 +2,12 @@ architecture: FasterRCNN
 train_feed: FasterRCNNTrainFeed
 eval_feed: FasterRCNNEvalFeed
 test_feed: FasterRCNNTestFeed
-use_gpu: True
+use_gpu: true
 max_iters: 360000
 log_smooth_window: 20
 save_dir: output
 snapshot_iter: 10000
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_pretrained.tar
+pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
 metric: COCO
 weights: output/faster_rcnn_r50_2x/model_final
 

PaddleCV/object_detection/configs/faster_rcnn_r50_fpn_1x.yml

@@ -3,11 +3,11 @@ train_feed: FasterRCNNTrainFeed
 eval_feed: FasterRCNNEvalFeed
 test_feed: FasterRCNNTestFeed
 max_iters: 90000
-use_gpu: True
+use_gpu: true
 snapshot_iter: 10000
 log_smooth_window: 20
 save_dir: output
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_pretrained.tar
+pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
 metric: COCO
 weights: output/fpn/faster_rcnn_r50_fpn_1x/model_final
 
@@ -107,34 +107,32 @@ OptimizerBuilder:
 
 FasterRCNNTrainFeed:
   batch_size: 2
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     annotation: annotations/instances_train2017.json
     image_dir: train2017
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   drop_last: false
   num_workers: 2
-  shuffle: true
 
 FasterRCNNEvalFeed:
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     annotation: annotations/instances_val2017.json
     image_dir: val2017
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
 
 FasterRCNNTestFeed:
   batch_size: 1
+  dataset:
+    annotation: annotations/instances_val2017.json
   batch_transforms:
   - !PadBatch
     pad_to_stride: 32
-  dataset:
-    annotation: annotations/instances_val2017.json
   drop_last: false
   num_workers: 2
-  shuffle: false

PaddleCV/object_detection/configs/faster_rcnn_r50_fpn_2x.yml

@@ -3,11 +3,11 @@ train_feed: FasterRCNNTrainFeed
 eval_feed: FasterRCNNEvalFeed
 test_feed: FasterRCNNTestFeed
 max_iters: 90000
-use_gpu: True
+use_gpu: true
 snapshot_iter: 10000
 log_smooth_window: 20
 save_dir: output
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_pretrained.tar
+pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
 metric: COCO
 weights: output/faster_rcnn_r50_fpn_2x/model_final
 
@@ -107,34 +107,32 @@ OptimizerBuilder:
 
 FasterRCNNTrainFeed:
   batch_size: 2
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     annotation: annotations/instances_train2017.json
     image_dir: train2017
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   drop_last: false
   num_workers: 2
-  shuffle: true
 
 FasterRCNNEvalFeed:
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     annotation: annotations/instances_val2017.json
     image_dir: val2017
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
 
 FasterRCNNTestFeed:
   batch_size: 1
+  dataset:
+    annotation: coco/annotations/instances_val2017.json
   batch_transforms:
   - !PadBatch
     pad_to_stride: 32
-  dataset:
-    annotation: coco/annotations/instances_val2017.json
   drop_last: false
   num_workers: 2
-  shuffle: false

PaddleCV/object_detection/configs/faster_rcnn_r50_vd_1x.yml

@@ -2,7 +2,7 @@ architecture: FasterRCNN
 train_feed: FasterRCNNTrainFeed
 eval_feed: FasterRCNNEvalFeed
 test_feed: FasterRCNNTestFeed
-use_gpu: True
+use_gpu: true
 max_iters: 180000
 log_smooth_window: 20
 save_dir: output/faster-r50-vd-c4-1x

PaddleCV/object_detection/configs/faster_rcnn_r50_vd_fpn_2x.yml

@@ -4,7 +4,7 @@ eval_feed: FasterRCNNEvalFeed
 test_feed: FasterRCNNTestFeed
 max_iters: 180000
 snapshot_iter: 10000
-use_gpu: True
+use_gpu: true
 log_smooth_window: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar
@@ -93,7 +93,6 @@ LearningRate:
   - !PiecewiseDecay
     gamma: 0.1
     milestones: [120000, 160000]
-    values: null
   - !LinearWarmup
     start_factor: 0.3333333333333333
     steps: 500
@@ -109,33 +108,31 @@ OptimizerBuilder:
 FasterRCNNTrainFeed:
   # batch size per device
   batch_size: 2
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     image_dir: train2017
     annotation: annotations/instances_train2017.json
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   num_workers: 2
-  shuffle: True
 
 FasterRCNNEvalFeed:
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     annotation: annotations/instances_val2017.json
     image_dir: val2017
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   num_workers: 2
 
 FasterRCNNTestFeed:
   batch_size: 1
+  dataset:
+    annotation: annotations/instances_val2017.json
   batch_transforms:
   - !PadBatch
     pad_to_stride: 32
-  dataset:
-    annotation: annotations/instances_val2017.json
   num_workers: 2
-  shuffle: False

PaddleCV/object_detection/configs/faster_rcnn_se154_vd_1x.yml

@@ -4,7 +4,7 @@ eval_feed: FasterRCNNEvalFeed
 test_feed: FasterRCNNTestFeed
 max_iters: 180000
 snapshot_iter: 10000
-use_gpu: True
+use_gpu: true
 log_smooth_window: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/SE154_vd_pretrained.tar
@@ -13,7 +13,6 @@ metric: COCO
 
 FasterRCNN:
   backbone: SENet
-  fpn: null
   rpn_head: RPNHead
   roi_extractor: RoIAlign
   bbox_head: BBoxHead
@@ -87,7 +86,6 @@ LearningRate:
   - !PiecewiseDecay
     gamma: 0.1
     milestones: [120000, 160000]
-    values: null
   - !LinearWarmup
     start_factor: 0.1
     steps: 1000
@@ -108,7 +106,6 @@ FasterRCNNTrainFeed:
     annotation: annotations/instances_val2017.json
     image_dir: val2017
   num_workers: 2
-  shuffle: True
 
 FasterRCNNEvalFeed:
   batch_size: 1
@@ -123,4 +120,3 @@ FasterRCNNTestFeed:
   dataset:
     annotation: annotations/instances_val2017.json
   num_workers: 2
-  shuffle: False

PaddleCV/object_detection/configs/faster_rcnn_se154_vd_fpn_1x.yml

@@ -4,7 +4,7 @@ eval_feed: FasterRCNNEvalFeed
 test_feed: FasterRCNNTestFeed
 max_iters: 180000
 snapshot_iter: 10000
-use_gpu: True
+use_gpu: true
 log_smooth_window: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/SE154_vd_pretrained.tar
@@ -95,7 +95,6 @@ LearningRate:
   - !PiecewiseDecay
     gamma: 0.1
     milestones: [120000, 160000]
-    values: null
   - !LinearWarmup
     start_factor: 0.1
     steps: 1000
@@ -111,33 +110,31 @@ OptimizerBuilder:
 FasterRCNNTrainFeed:
   # batch size per device
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     image_dir: train2017
     annotation: annotations/instances_train2017.json
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   num_workers: 2
-  shuffle: True
 
 FasterRCNNEvalFeed:
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     annotation: annotations/instances_val2017.json
     image_dir: val2017
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   num_workers: 2
 
 FasterRCNNTestFeed:
   batch_size: 1
+  dataset:
+    annotation: annotations/instances_val2017.json
   batch_transforms:
   - !PadBatch
     pad_to_stride: 32
-  dataset:
-    annotation: annotations/instances_val2017.json
   num_workers: 2
-  shuffle: False

PaddleCV/object_detection/configs/faster_rcnn_se154_vd_fpn_s1x.yml

@@ -4,7 +4,7 @@ eval_feed: FasterRCNNEvalFeed
 test_feed: FasterRCNNTestFeed
 max_iters: 260000
 snapshot_iter: 10000
-use_gpu: True
+use_gpu: true
 log_smooth_window: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/SE154_vd_pretrained.tar
@@ -95,7 +95,6 @@ LearningRate:
   - !PiecewiseDecay
     gamma: 0.1
     milestones: [200000, 240000]
-    values: null
   - !LinearWarmup
     start_factor: 0.1
     steps: 1000
@@ -111,33 +110,31 @@ OptimizerBuilder:
 FasterRCNNTrainFeed:
   # batch size per device
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     image_dir: train2017
     annotation: annotations/instances_train2017.json
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   num_workers: 2
-  shuffle: True
 
 FasterRCNNEvalFeed:
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     annotation: annotations/instances_val2017.json
     image_dir: val2017
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   num_workers: 2
 
 FasterRCNNTestFeed:
   batch_size: 1
+  dataset:
+    annotation: annotations/instances_val2017.json
   batch_transforms:
   - !PadBatch
     pad_to_stride: 32
-  dataset:
-    annotation: annotations/instances_val2017.json
   num_workers: 2
-  shuffle: False

PaddleCV/object_detection/configs/faster_rcnn_x101_64x4d_fpn_1x.yml

@@ -4,7 +4,7 @@ eval_feed: FasterRCNNEvalFeed
 test_feed: FasterRCNNTestFeed
 max_iters: 180000
 snapshot_iter: 10000
-use_gpu: True
+use_gpu: true
 log_smooth_window: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNeXt101_64x4d_pretrained.tar
@@ -94,7 +94,6 @@ LearningRate:
   - !PiecewiseDecay
     gamma: 0.1
     milestones: [120000, 160000]
-    values: null
   - !LinearWarmup
     start_factor: 0.3333333333333333
     steps: 500
@@ -110,33 +109,31 @@ OptimizerBuilder:
 FasterRCNNTrainFeed:
   # batch size per device
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     image_dir: train2017
     annotation: annotations/instances_train2017.json
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   num_workers: 2
-  shuffle: True
 
 FasterRCNNEvalFeed:
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     annotation: annotations/instances_val2017.json
     image_dir: val2017
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   num_workers: 2
 
 FasterRCNNTestFeed:
   batch_size: 1
+  dataset:
+    annotation: annotations/instances_val2017.json
   batch_transforms:
   - !PadBatch
     pad_to_stride: 32
-  dataset:
-    annotation: annotations/instances_val2017.json
   num_workers: 2
-  shuffle: False

PaddleCV/object_detection/configs/faster_rcnn_x101_64x4d_fpn_2x.yml

@@ -4,7 +4,7 @@ eval_feed: FasterRCNNEvalFeed
 test_feed: FasterRCNNTestFeed
 max_iters: 180000
 snapshot_iter: 10000
-use_gpu: True
+use_gpu: true
 log_smooth_window: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNeXt101_64x4d_pretrained.tar
@@ -94,7 +94,6 @@ LearningRate:
   - !PiecewiseDecay
     gamma: 0.1
     milestones: [240000, 320000]
-    values: null
   - !LinearWarmup
     start_factor: 0.3333333333333333
     steps: 500
@@ -110,33 +109,31 @@ OptimizerBuilder:
 FasterRCNNTrainFeed:
   # batch size per device
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     image_dir: train2017
     annotation: annotations/instances_train2017.json
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   num_workers: 2
-  shuffle: True
 
 FasterRCNNEvalFeed:
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     annotation: annotations/instances_val2017.json
     image_dir: val2017
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   num_workers: 2
 
 FasterRCNNTestFeed:
   batch_size: 1
+  dataset:
+    annotation: annotations/instances_val2017.json
   batch_transforms:
   - !PadBatch
     pad_to_stride: 32
-  dataset:
-    annotation: annotations/instances_val2017.json
   num_workers: 2
-  shuffle: False

PaddleCV/object_detection/configs/mask_rcnn_r101_fpn_1x.yml

@@ -2,14 +2,14 @@ architecture: MaskRCNN
 train_feed: MaskRCNNTrainFeed
 eval_feed: MaskRCNNEvalFeed
 test_feed: MaskRCNNTestFeed
-use_gpu: True
+use_gpu: true
 max_iters: 180000
 snapshot_iter: 10000
 log_smooth_window: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_pretrained.tar
 metric: COCO
-weights: output/mask_rcnn_r101_fpn_1x/model_final/ 
+weights: output/mask_rcnn_r101_fpn_1x/model_final/
 
 MaskRCNN:
   backbone: ResNet
@@ -101,7 +101,6 @@ LearningRate:
   - !PiecewiseDecay
     gamma: 0.1
     milestones: [120000, 160000]
-    values: null
   - !LinearWarmup
     start_factor: 0.3333333333333333
     steps: 500
@@ -116,34 +115,31 @@ OptimizerBuilder:
 
 MaskRCNNTrainFeed:
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     annotation: annotations/instances_train2017.json
     image_dir: train2017
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   num_workers: 2
-  use_padded_im_info: False
 
 MaskRCNNEvalFeed:
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     annotation: annotations/instances_val2017.json
     image_dir: val2017
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   num_workers: 2
-  use_padded_im_info: True
 
 MaskRCNNTestFeed:
   batch_size: 1
+  dataset:
+    annotation: annotations/instances_val2017.json
   batch_transforms:
   - !PadBatch
     pad_to_stride: 32
-  dataset:
-    annotation: annotations/instances_val2017.json
   num_workers: 2
-  use_padded_im_info: True

PaddleCV/object_detection/configs/mask_rcnn_r101_fpn_2x.yml

@@ -2,14 +2,14 @@ architecture: MaskRCNN
 train_feed: MaskRCNNTrainFeed
 eval_feed: MaskRCNNEvalFeed
 test_feed: MaskRCNNTestFeed
-use_gpu: True
+use_gpu: true
 max_iters: 360000
 snapshot_iter: 10000
 log_smooth_window: 20
 save_dir: output
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_pretrained.tar
 metric: COCO
-weights: output/mask_rcnn_r101_fpn_2x/model_final/ 
+weights: output/mask_rcnn_r101_fpn_2x/model_final/
 
 MaskRCNN:
   backbone: ResNet
@@ -101,7 +101,6 @@ LearningRate:
   - !PiecewiseDecay
     gamma: 0.1
     milestones: [240000, 320000]
-    values: null
   - !LinearWarmup
     start_factor: 0.3333333333333333
     steps: 500
@@ -116,34 +115,31 @@ OptimizerBuilder:
 
 MaskRCNNTrainFeed:
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     annotation: annotations/instances_train2017.json
     image_dir: train2017
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   num_workers: 2
-  use_padded_im_info: False
 
 MaskRCNNEvalFeed:
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     annotation: annotations/instances_val2017.json
     image_dir: val2017
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   num_workers: 2
-  use_padded_im_info: True
 
 MaskRCNNTestFeed:
   batch_size: 1
+  dataset:
+    annotation: annotations/instances_val2017.json
   batch_transforms:
   - !PadBatch
     pad_to_stride: 32
-  dataset:
-    annotation: annotations/instances_val2017.json
   num_workers: 2
-  use_padded_im_info: True

PaddleCV/object_detection/configs/mask_rcnn_r50_1x.yml

@@ -2,12 +2,12 @@ architecture: MaskRCNN
 train_feed: MaskRCNNTrainFeed
 eval_feed: MaskRCNNEvalFeed
 test_feed: MaskRCNNTestFeed
-use_gpu: True
+use_gpu: true
 max_iters: 180000
 snapshot_iter: 10000
 log_smooth_window: 20
 save_dir: output
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_pretrained.tar
+pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
 metric: COCO
 weights: output/mask_rcnn_r50_1x/model_final
 
@@ -111,7 +111,6 @@ MaskRCNNTrainFeed:
     annotation: annotations/instances_train2017.json
     image_dir: train2017
   num_workers: 2
-  shuffle: true
 
 MaskRCNNEvalFeed:
   batch_size: 1
@@ -119,7 +118,6 @@ MaskRCNNEvalFeed:
     dataset_dir: dataset/coco
     annotation: annotations/instances_val2017.json
     image_dir: val2017
-  shuffle: false
 
 MaskRCNNTestFeed:
   batch_size: 1

PaddleCV/object_detection/configs/mask_rcnn_r50_2x.yml

@@ -2,12 +2,12 @@ architecture: MaskRCNN
 train_feed: MaskRCNNTrainFeed
 eval_feed: MaskRCNNEvalFeed
 test_feed: MaskRCNNTestFeed
-use_gpu: True
+use_gpu: true
 max_iters: 360000
 snapshot_iter: 10000
 log_smooth_window: 20
 save_dir: output
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_pretrained.tar
+pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
 metric: COCO
 weights: output/mask_rcnn_r50_2x/model_final/
 
@@ -113,7 +113,6 @@ MaskRCNNTrainFeed:
     annotation: annotations/instances_train2017.json
     image_dir: train2017
   num_workers: 2
-  shuffle: true
 
 MaskRCNNEvalFeed:
   batch_size: 1
@@ -121,7 +120,6 @@ MaskRCNNEvalFeed:
     dataset_dir: dataset/coco
     annotation: annotations/instances_val2017.json
     image_dir: val2017
-  shuffle: false
 
 MaskRCNNTestFeed:
   batch_size: 1

PaddleCV/object_detection/configs/mask_rcnn_r50_fpn_1x.yml

@@ -2,14 +2,14 @@ architecture: MaskRCNN
 train_feed: MaskRCNNTrainFeed
 eval_feed: MaskRCNNEvalFeed
 test_feed: MaskRCNNTestFeed
-use_gpu: True
+use_gpu: true
 max_iters: 180000
 snapshot_iter: 10000
 log_smooth_window: 20
 save_dir: output
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_pretrained.tar
+pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
 metric: COCO
-weights: output/mask_rcnn_r50_fpn_1x/model_final/ 
+weights: output/mask_rcnn_r50_fpn_1x/model_final/
 
 MaskRCNN:
   backbone: ResNet
@@ -101,7 +101,6 @@ LearningRate:
   - !PiecewiseDecay
     gamma: 0.1
     milestones: [120000, 160000]
-    values: null
   - !LinearWarmup
     start_factor: 0.3333333333333333
     steps: 500
@@ -116,34 +115,31 @@ OptimizerBuilder:
 
 MaskRCNNTrainFeed:
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     annotation: annotations/instances_train2017.json
     image_dir: train2017
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   num_workers: 2
-  use_padded_im_info: False
 
 MaskRCNNEvalFeed:
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     annotation: annotations/instances_val2017.json
     image_dir: val2017
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   num_workers: 2
-  use_padded_im_info: True
 
 MaskRCNNTestFeed:
   batch_size: 1
+  dataset:
+    annotation: annotations/instances_val2017.json
   batch_transforms:
   - !PadBatch
     pad_to_stride: 32
-  dataset:
-    annotation: annotations/instances_val2017.json
   num_workers: 2
-  use_padded_im_info: True

PaddleCV/object_detection/configs/mask_rcnn_r50_fpn_2x.yml

@@ -2,14 +2,14 @@ architecture: MaskRCNN
 train_feed: MaskRCNNTrainFeed
 eval_feed: MaskRCNNEvalFeed
 test_feed: MaskRCNNTestFeed
-use_gpu: True
+use_gpu: true
 max_iters: 360000
 snapshot_iter: 10000
 log_smooth_window: 20
 save_dir: output
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_pretrained.tar
+pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
 metric: COCO
-weights: output/mask_rcnn_r50_fpn_2x/model_final/ 
+weights: output/mask_rcnn_r50_fpn_2x/model_final/
 
 MaskRCNN:
   backbone: ResNet
@@ -101,7 +101,6 @@ LearningRate:
   - !PiecewiseDecay
     gamma: 0.1
     milestones: [240000, 320000]
-    values: null
   - !LinearWarmup
     start_factor: 0.3333333333333333
     steps: 500
@@ -116,34 +115,31 @@ OptimizerBuilder:
 
 MaskRCNNTrainFeed:
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     annotation: annotations/instances_train2017.json
     image_dir: train2017
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   num_workers: 2
-  use_padded_im_info: False
 
 MaskRCNNEvalFeed:
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     annotation: annotations/instances_val2017.json
     image_dir: val2017
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   num_workers: 2
-  use_padded_im_info: True
 
 MaskRCNNTestFeed:
   batch_size: 1
+  dataset:
+    annotation: annotations/instances_val2017.json
   batch_transforms:
   - !PadBatch
     pad_to_stride: 32
-  dataset:
-    annotation: annotations/instances_val2017.json
   num_workers: 2
-  use_padded_im_info: True

PaddleCV/object_detection/configs/mask_rcnn_r50_vd_fpn_2x.yml

@@ -2,7 +2,7 @@ architecture: MaskRCNN
 train_feed: MaskRCNNTrainFeed
 eval_feed: MaskRCNNEvalFeed
 test_feed: MaskRCNNTestFeed
-use_gpu: True
+use_gpu: true
 max_iters: 360000
 snapshot_iter: 10000
 log_smooth_window: 20
@@ -102,7 +102,6 @@ LearningRate:
   - !PiecewiseDecay
     gamma: 0.1
     milestones: [240000, 320000]
-    values: null
   - !LinearWarmup
     start_factor: 0.3333333333333333
     steps: 500
@@ -118,35 +117,31 @@ OptimizerBuilder:
 MaskRCNNTrainFeed:
   # batch size per device
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     image_dir: train2017
     annotation: annotations/instances_train2017.json
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   num_workers: 2
-  shuffle: True
-  use_padded_im_info: False
 
 MaskRCNNEvalFeed:
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     annotation: annotations/instances_val2017.json
     image_dir: val2017
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   num_workers: 2
-  use_padded_im_info: True
 
 MaskRCNNTestFeed:
   batch_size: 1
+  dataset:
+    annotation: annotations/instances_val2017.json
   batch_transforms:
   - !PadBatch
     pad_to_stride: 32
-  dataset:
-    annotation: annotations/instances_val2017.json
   num_workers: 2
-  use_padded_im_info: True

PaddleCV/object_detection/configs/mask_rcnn_se154_vd_fpn_s1x.yml

@@ -104,7 +104,6 @@ LearningRate:
   - !PiecewiseDecay
     gamma: 0.1
     milestones: [200000, 240000]
-    values: null
   - !LinearWarmup
     start_factor: 0.3333333333333333
     steps: 500
@@ -120,35 +119,31 @@ OptimizerBuilder:
 MaskRCNNTrainFeed:
   # batch size per device
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco 
     image_dir: train2017
     annotation: annotations/instances_train2017.json
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   num_workers: 2
-  shuffle: True
-  use_padded_im_info: False
 
 MaskRCNNEvalFeed:
   batch_size: 1
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 32
   dataset:
     dataset_dir: dataset/coco
     annotation: annotations/instances_val2017.json
     image_dir: val2017
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 32
   num_workers: 2
-  use_padded_im_info: True
 
 MaskRCNNTestFeed:
   batch_size: 1
+  dataset:
+    annotation: annotations/instances_val2017.json
   batch_transforms:
   - !PadBatch
     pad_to_stride: 32
-  dataset:
-    annotation: annotations/instances_val2017.json
   num_workers: 2
-  use_padded_im_info: True

PaddleCV/object_detection/configs/retinanet_r101_fpn_1x.yml

@@ -61,7 +61,6 @@ LearningRate:
   - !PiecewiseDecay
     gamma: 0.1
     milestones: [60000, 80000]
-    values: null
   - !LinearWarmup
     start_factor: 0.3333333333333333
     steps: 500
@@ -84,7 +83,6 @@ FasterRCNNTrainFeed:
     annotation: annotations/instances_train2017.json
     image_dir: train2017
   num_workers: 2
-  shuffle: True
 
 FasterRCNNEvalFeed:
   batch_size: 2
@@ -105,4 +103,3 @@ FasterRCNNTestFeed:
   dataset:
     annotation: annotations/instances_val2017.json
   num_workers: 2
-  shuffle: False

PaddleCV/object_detection/configs/retinanet_r50_fpn_1x.yml

@@ -3,8 +3,8 @@ train_feed: FasterRCNNTrainFeed
 eval_feed: FasterRCNNEvalFeed
 test_feed: FasterRCNNTestFeed
 max_iters: 90000
-use_gpu: True
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_pretrained.tar
+use_gpu: true
+pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
 weights: output/retinanet_r50_fpn_1x/model_final
 log_smooth_window: 20
 snapshot_iter: 10000
@@ -61,7 +61,6 @@ LearningRate:
   - !PiecewiseDecay
     gamma: 0.1
     milestones: [60000, 80000]
-    values: null
   - !LinearWarmup
     start_factor: 0.3333333333333333
     steps: 500
@@ -76,33 +75,31 @@ OptimizerBuilder:
 
 FasterRCNNTrainFeed:
   batch_size: 2
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 128
   dataset:
     dataset_dir: dataset/coco
     annotation: annotations/instances_train2017.json
     image_dir: train2017
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 128
   num_workers: 2
-  shuffle: True
 
 FasterRCNNEvalFeed:
   batch_size: 2
-  batch_transforms:
-  - !PadBatch
-    pad_to_stride: 128
   dataset:
     dataset_dir: dataset/coco
     annotation: annotations/instances_val2017.json
     image_dir: val2017
+  batch_transforms:
+  - !PadBatch
+    pad_to_stride: 128
   num_workers: 2
 
 FasterRCNNTestFeed:
   batch_size: 1
+  dataset:
+    annotation: annotations/instances_val2017.json
   batch_transforms:
   - !PadBatch
     pad_to_stride: 128
-  dataset:
-    annotation: annotations/instances_val2017.json
   num_workers: 2
-  shuffle: False

PaddleCV/object_detection/configs/yolov3_darknet.yml

@@ -2,7 +2,7 @@ architecture: YOLOv3
 train_feed: YoloTrainFeed
 eval_feed: YoloEvalFeed
 test_feed: YoloTestFeed
-use_gpu: yes
+use_gpu: true
 max_iters: 500200
 log_smooth_window: 20
 save_dir: output

PaddleCV/object_detection/configs/yolov3_mobilenet_v1.yml

@@ -2,7 +2,7 @@ architecture: YOLOv3
 train_feed: YoloTrainFeed
 eval_feed: YoloEvalFeed
 test_feed: YoloTestFeed
-use_gpu: yes
+use_gpu: true
 max_iters: 500200
 log_smooth_window: 20
 save_dir: output

PaddleCV/object_detection/configs/yolov3_r34.yml

@@ -2,7 +2,7 @@ architecture: YOLOv3
 train_feed: YoloTrainFeed
 eval_feed: YoloEvalFeed
 test_feed: YoloTestFeed
-use_gpu: yes
+use_gpu: true
 max_iters: 500200
 log_smooth_window: 20
 save_dir: output
@@ -18,7 +18,7 @@ YOLOv3:
 ResNet:
   norm_type: sync_bn
   freeze_at: 0
-  freeze_norm: False
+  freeze_norm: false
   norm_decay: 0.
   depth: 34
   feature_maps: [3, 4, 5]