AI开发平台MODELARTS-模型配置文件编写说明:目标检测模型配置文件示例

时间:2024-11-28 20:08:33

目标检测模型配置文件示例

如下代码以TensorFlow引擎为例,您可以根据实际使用的引擎类型修改model_type参数后使用。

  • 模型输入

    key:images

    value:图片文件

  • 模型输出
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    {
        "detection_classes": [
            "face",
            "arm"
        ],
        "detection_boxes": [
            [
                33.6,
                42.6,
                104.5,
                203.4
            ],
            [
                103.1,
                92.8,
                765.6,
                945.7
            ]
        ],
        "detection_scores": [0.99, 0.73]
    }
    
  • 配置文件
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    {
        "model_type": "TensorFlow",
        "model_algorithm": "object_detection",
        "metrics": {
            "f1": 0.345294,
            "accuracy": 0.462963,
            "precision": 0.338977,
            "recall": 0.351852
        },
        "apis": [{
            "url": "/",
            "method": "post",
            "request": {
                "Content-type": "multipart/form-data",
                "data": {
                    "type": "object",
                    "properties": {
                        "images": {
                            "type": "file"
                        }
                    }
                }
            },
            "response": {
                "Content-type": "application/json",
                "data": {
                    "type": "object",
                    "properties": {
                        "detection_classes": {
                            "type": "array",
                            "items": [{
                                "type": "string"
                            }]
                        },
                        "detection_boxes": {
                            "type": "array",
                            "items": [{
                                "type": "array",
                                "minItems": 4,
                                "maxItems": 4,
                                "items": [{
                                    "type": "number"
                                }]
                            }]
                        },
                        "detection_scores": {
                            "type": "array",
                            "items": [{
                                "type": "number"
                            }]
                        }
                    }
                }
            }
        }],
        "dependencies": [{
            "installer": "pip",
            "packages": [{
                    "restraint": "EXACT",
                    "package_version": "1.15.0",
                    "package_name": "numpy"
                },
                {
                    "restraint": "EXACT",
                    "package_version": "5.2.0",
                    "package_name": "Pillow"
                }
            ]
        }]
    }
    
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