[benchmark] fix faster rcnn dataloader inconsistence (#4451)

benchmark/configs/faster_rcnn_r50_fpn_1x_coco.yml

+_BASE_: [
+  '../../configs/datasets/coco_detection.yml',
+  '../../configs/runtime.yml',
+  '../../configs/faster_rcnn/_base_/optimizer_1x.yml',
+  '../../configs/faster_rcnn/_base_/faster_rcnn_r50_fpn.yml',
+]
+weights: output/faster_rcnn_r50_fpn_1x_coco/model_final
+
+worker_num: 2
+TrainReader:
+  sample_transforms:
+  - Decode: {}
+  - Resize: {interp: 2, target_size: [800, 1333], keep_ratio: True}
+  - RandomFlip: {prob: 0.5}
+  - NormalizeImage: {is_scale: true, mean: [0.485,0.456,0.406], std: [0.229, 0.224,0.225]}
+  - Permute: {}
+  batch_transforms:
+  - PadBatch: {pad_to_stride: 32}
+  batch_size: 1
+  shuffle: true
+  drop_last: true
+  collate_batch: false
+
+
+EvalReader:
+  sample_transforms:
+  - Decode: {}
+  - Resize: {interp: 2, target_size: [800, 1333], keep_ratio: True}
+  - NormalizeImage: {is_scale: true, mean: [0.485,0.456,0.406], std: [0.229, 0.224,0.225]}
+  - Permute: {}
+  batch_transforms:
+  - PadBatch: {pad_to_stride: 32}
+  batch_size: 1
+  shuffle: false
+  drop_last: false
+
+
+TestReader:
+  sample_transforms:
+  - Decode: {}
+  - Resize: {interp: 2, target_size: [800, 1333], keep_ratio: True}
+  - NormalizeImage: {is_scale: true, mean: [0.485,0.456,0.406], std: [0.229, 0.224,0.225]}
+  - Permute: {}
+  batch_transforms:
+  - PadBatch: {pad_to_stride: 32}
+  batch_size: 1
+  shuffle: false
+  drop_last: false

benchmark/run_benchmark.sh

@@ -25,7 +25,7 @@ function _train(){
     set_optimizer_lr_mp=" "
     # parse model_name
     case ${model_name} in
-        faster_rcnn) model_yml="configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.yml"
+        faster_rcnn) model_yml="benchmark/configs/faster_rcnn_r50_fpn_1x_coco.yml"
             set_optimizer_lr_sp="LearningRate.base_lr=0.001" ;;
         fcos) model_yml="configs/fcos/fcos_r50_fpn_1x_coco.yml"
             set_optimizer_lr_sp="LearningRate.base_lr=0.001" ;;