PaddleDetection目标检测模型PPYOLOE为例展示CPU上的推理示例，我在windows上推理，执行后没有检测出来

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环境

• 【FastDeploy版本】： fastdeploy-win-x64-1.0.6
• 【编译命令】 使用的Release版本
• 【系统平台】: Windows x64(Windows11)
• 【硬件】： i7-6700HQ CPU
• 【编译语言】： C++

参考这个文档来的，https://github.com/PaddlePaddle/FastDeploy/blob/develop/docs/cn/quick_start/models/cpp.md

问题日志及出现问题的操作流程

• 附上详细的问题日志有助于快速定位分析
• 【模型跑不通】
  能跑通

C:\Project\Paddle\PaddleDetection\build\Release>infer_demo.exe
[INFO] fastdeploy/vision/common/processors/transform.cc(45)::fastdeploy::vision::FuseNormalizeCast Normalize and Cast are fused to Normalize in preprocessing pipeline.
[INFO] fastdeploy/vision/common/processors/transform.cc(93)::fastdeploy::vision::FuseNormalizeHWC2CHW Normalize and HWC2CHW are fused to NormalizeAndPermute in preprocessing pipeline.
[INFO] fastdeploy/vision/common/processors/transform.cc(159)::fastdeploy::vision::FuseNormalizeColorConvert BGR2RGB and NormalizeAndPermute are fused to NormalizeAndPermute with swap_rb=1
[INFO] fastdeploy/runtime/backends/openvino/ov_backend.cc(218)::fastdeploy::OpenVINOBackend::InitFromPaddle number of streams:1.
[INFO] fastdeploy/runtime/backends/openvino/ov_backend.cc(228)::fastdeploy::OpenVINOBackend::InitFromPaddle affinity:YES.
[INFO] fastdeploy/runtime/backends/openvino/ov_backend.cc(240)::fastdeploy::OpenVINOBackend::InitFromPaddle Compile OpenVINO model on device_name:CPU.
[INFO] fastdeploy/runtime/runtime.cc(279)::fastdeploy::Runtime::CreateOpenVINOBackend Runtime initialized with Backend::OPENVINO in Device::CPU.
DetectionResult: [xmin, ymin, xmax, ymax, score, label_id]

Visualized result save in vis_result.jpg

• 【模型精度问题】

vis_result.jpg 没有检测出来

Start with docs/cn/quick_start/models/cpp.md and the infer_demo.exe entry point used on Windows x64. Reproduce the CPU run, inspect the DetectionResult output and generated vis_result.jpg, and trace why the PPYOLOE example produces no detections. Done means the example detects objects or the issue has a documented cause and correction.