示例文档中部署ppyoloe在server端返回结果异常

[hxuaj]

• 镜像版本registry.baidubce.com/paddlepaddle/fastdeploy:1.0.7-gpu-cuda11.4-trt8.5-21.10
  -【系统平台】: Linux x64
  -【硬件】： Nvidia T4, Driver Version: 545.23.06

在跑示例文档https://github.com/PaddlePaddle/FastDeploy/blob/develop/examples/vision/detection/paddledetection/serving/README_CN.md 部署ppyoloe在服务端时，遇到了返回结果异常的情况（从结果里看似乎是没有nms或者过滤低score的bbox）。

tm: name: "INPUT"
datatype: "UINT8"
shape: -1
shape: -1
shape: -1
shape: 3

output_name: DET_RESULT
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附上ppdet使用相同模型参数的推理结果：

-----------  Running Arguments -----------
action_file: None
batch_size: 1
camera_id: -1
collect_trt_shape_info: False
combine_method: nms
cpu_threads: 1
device: gpu
enable_mkldnn: False
enable_mkldnn_bfloat16: False
image_dir: None
image_file: /home/FastDeploy/examples/vision/detection/paddledetection/serving/000000014439.jpg
match_metric: ios
match_threshold: 0.6
model_dir: /home/FastDeploy/examples/vision/detection/paddledetection/serving/ppyoloe_crn_l_300e_coco
output_dir: output
overlap_ratio: [0.25, 0.25]
random_pad: False
reid_batch_size: 50
reid_model_dir: None
run_benchmark: False
run_mode: paddle
save_images: True
save_mot_txt_per_img: False
save_mot_txts: False
save_results: False
scaled: False
slice_infer: False
slice_size: [640, 640]
threshold: 0.5
tracker_config: None
trt_calib_mode: False
trt_max_shape: 1280
trt_min_shape: 1
trt_opt_shape: 640
tuned_trt_shape_file: shape_range_info.pbtxt
use_coco_category: False
use_dark: True
use_fd_format: False
use_gpu: False
video_file: None
window_size: 50
------------------------------------------
-----------  Model Configuration -----------
Model Arch: YOLO
Transform Order: 
--transform op: Resize
--transform op: NormalizeImage
--transform op: Permute
--------------------------------------------
class_id:0, confidence:0.9504, left_top:[415.05,89.31],right_bottom:[506.01,283.86]
class_id:0, confidence:0.8964, left_top:[163.67,81.91],right_bottom:[198.59,166.76]
class_id:0, confidence:0.8426, left_top:[581.79,113.03],right_bottom:[612.62,198.52]
class_id:0, confidence:0.8380, left_top:[267.22,89.78],right_bottom:[298.80,169.36]
class_id:0, confidence:0.7733, left_top:[104.47,45.48],right_bottom:[127.69,93.53]
class_id:0, confidence:0.7671, left_top:[348.90,44.06],right_bottom:[367.54,98.40]
class_id:0, confidence:0.7565, left_top:[363.89,58.39],right_bottom:[381.40,114.65]
class_id:0, confidence:0.7141, left_top:[504.84,114.53],right_bottom:[612.28,271.29]
class_id:0, confidence:0.6814, left_top:[328.23,38.97],right_bottom:[347.21,80.57]
class_id:0, confidence:0.6572, left_top:[379.18,40.79],right_bottom:[394.88,83.98]
class_id:0, confidence:0.5745, left_top:[25.86,117.87],right_bottom:[61.26,153.16]
class_id:33, confidence:0.9639, left_top:[162.66,83.09],right_bottom:[626.04,344.37]
class_id:56, confidence:0.6765, left_top:[75.28,121.60],right_bottom:[116.64,156.69]
save result to: output/000000014439.jpg
Test iter 0
------------------ Inference Time Info ----------------------
total_time(ms): 1451.3, img_num: 1
average latency time(ms): 1451.30, QPS: 0.689037
preprocess_time(ms): 44.30, inference_time(ms): 1407.00, postprocess_time(ms): 0.00

[hxuaj]

查了一下ppyoloe_crn_l_300e_coco的默认配置，在ppyoloe_crn.yml中找到了关于PPYOLOEHead的配置如下：

PPYOLOEHead:
  fpn_strides: [32, 16, 8]
  grid_cell_scale: 5.0
  grid_cell_offset: 0.5
  static_assigner_epoch: 100
  use_varifocal_loss: True
  loss_weight: {class: 1.0, iou: 2.5, dfl: 0.5}
  static_assigner:
    name: ATSSAssigner
    topk: 9
  assigner:
    name: TaskAlignedAssigner
    topk: 13
    alpha: 1.0
    beta: 6.0
  nms:
    name: MultiClassNMS
    nms_top_k: 1000
    keep_top_k: 300
    score_threshold: 0.01
    nms_threshold: 0.7

果然是因为score_threshold设置太低（应该是为了eval）导致以上的情况。尝试了修改score_threshold为0.5再导出模型，以上问题解决。建议在模型导出文档中说明一下。另外没有找到关于模型配置文档（如ppyoloe_crn.yml）的详细参数说明，可否提供一下？

[jiangjiajun]

此参数是在PaddleDetection中导出的，可以在PaddleDetection仓库中提个建议反馈