weight_config.json

{
    "yolov8.pt": {
        "display_name": "YOLOv8",
        "description": "用于通用目标检测的YOLOv8预训练模型"
    },
    "Yolov8.engine": {
        "display_name": "YOLOv8 QUANT",
        "description": "使用TensorRT优化的YOLOv8模型，提供更快的推理速度"
    },
    "NEUyolov8n.engine": {
        "display_name": "NEUyolov8n QUANT",
        "description": "使用TensorRT优化的NEU yolo v8n模型，提供更快的推理速度"
    },
    "model_simple.pth": {
        "display_name": "Deeplab V3+",
        "description": "用于检测常规钢材表面缺陷的深度学习模型"
    },
    "model_complex.pth": {
        "display_name": "Deeplab V3+ Enhanced",
        "description": "用于检测复杂钢材表面缺陷的深度学习模型"
    },
    "model_simple.trt": {
        "display_name": "Deeplab V3+ QUANT",
        "description": "用于检测常规钢材表面缺陷的轻量级模型，量化加速"
    },
    "model_complex.trt": {
        "display_name": "Deeplab V3+ Enhanced QUANT",
        "description": "用于检测复杂场景钢材表面缺陷的轻量级模型，量化加速"
    },
    "Efficientvit_Sam.pth": {
        "display_name": "Efficientvit_Sam(Beta)",
        "description": "Sam大模型，beta"
    }
}