# demo for cpp_infer.py

use_python_inference: true # whether to use python inference
mode: fluid # trt_fp32, trt_fp16, trt_int8, fluid
arch: RCNN # YOLO, SSD, RCNN, RetinaNet
min_subgraph_size: 40 # need 3 for YOLO arch

# visualize the predicted image
metric: COCO # COCO, VOC
draw_threshold: 0.5

Preprocess:
- type: Resize
  target_size: 640
  max_size: 640
- type: Normalize
  mean:
  - 0.485
  - 0.456
  - 0.406
  std:
  - 0.229
  - 0.224
  - 0.225
  is_scale: True
- type: Permute
  to_bgr: False
- type: PadStride
  stride: 0 # set 32 on FPN and 128 on RetinaNet