cmvr_edge_ai/models/detection/ppe-6classes-yolov8n/v2/README.md

31 lines
1.0 KiB
Markdown
Raw Permalink Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

# PPE YOLOv8n 6 Classes ONNX v2
这是 `ppe-6classes-yolov8n@1` 的静态 CPU FP32 ONNX 部署版本。
| 字段 | 值 |
|---|---|
| Model ID | `ppe-6classes-yolov8n@2` |
| Backend | `onnxruntime-yolov8` |
| 输入 | `float32[1,3,640,640]` |
| 输出 | `float32[1,10,8400]`NMS 外置 |
| ONNX opset | 17 |
| 文件大小 | 10,993,196 bytes |
| SHA256 | `6cb0e567b4fbf353aeb61c271ab33c45260d6ddddbe26eb3b64c245c2683c03b` |
| 来源 | [`v1/best.pt`](../v1/README.md) |
标签顺序保持为 `Gloves, Vest, goggles, helmet, mask, safety_shoe`。`manifest.json`
记录并由运行时校验来源、标签、模型身份和制品 SHA256。
```yaml
model: ppe-6classes-yolov8n@2
model_options:
weights: models/detection/ppe-6classes-yolov8n/v2/model.onnx
providers: [CPUExecutionProvider]
intra_op_threads: 1
inter_op_threads: 1
imgsz: 640
```
已通过 ONNX checker、CPU session 加载和合成非方形图推理 smoke当前部署 YAML
未实例化本模型。现场精度、性能和许可边界仍以 v1 模型卡及目标设备验收为准。