Problem: incorrect detection

Windows platform. Image with wrong detection for example:

model | 模型 | モデル

1. original model: https://github.com/ultralytics/yolov5

how to reproduce | 复现步骤 | 再現方法

1. Install yolov5 steps from Quick Start Examples.
2. Verify: python detect.py --source data/images --weights yolov5s.pt --conf 0.25 .
3. Export for solve problems 'Unsupported slice step !': python export.py --include onnx --weight yolov5s.pt --img 640 --train --simplify . According to this.
4. Conversion using out-of-the-box web model conversion (https://convertmodel.com/#outputFormat=ncnn): check both 'Optimize', check 'Generate ft16 model'.
5. Comparing my .param file with the param file example ( https://github.com/nihui/ncnn-assets/blob/master/models/yolov5s_6.0.param ). The layers are the same, only the numbers differ. Size the .bin file is the same as in the example
6. Use ncnn tutorial ( https://github.com/Tencent/ncnn/blob/master/examples/yolov5.cpp ) for yolov5s_6.0. Rewrite ex.extract() according to my .param file numbers.
7. ...And I get a completely incorrect detection result :(

@zhiliu6, could you tell me how you converted the model? it seemed to me that I was doing similar steps, but this is not the case :(