DocumentAIKit/configs/faster_rcnn/faster_rcnn_r34_fpn_multiscaletest_1x_coco.yml

_BASE_: [
  'faster_rcnn_r34_fpn_1x_coco.yml',
]

pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet34_pretrained.pdparams
weights: output/faster_rcnn_r34_fpn_multiscaletest_1x_coco/model_final

EvalReader:
  sample_transforms:
  - Decode: {}
#  - Resize: {interp: 2, target_size: [800, 1333], keep_ratio: True}
  - MultiscaleTestResize: {origin_target_size: [800, 1333], target_size: [700 , 900], use_flip: False}
  - NormalizeImage: {is_scale: true, mean: [0.485,0.456,0.406], std: [0.229, 0.224,0.225]}
  - Permute: {}

TestReader:
  sample_transforms:
  - Decode: {}
#  - Resize: {interp: 2, target_size: [800, 1333], keep_ratio: True}
  - MultiscaleTestResize: {origin_target_size: [800, 1333], target_size: [700 , 900], use_flip: False}
  - NormalizeImage: {is_scale: true, mean: [0.485,0.456,0.406], std: [0.229, 0.224,0.225]}
  - Permute: {}