Question

我有以下JSON数据。

{
    "faceDetails": [
        {
            "boundingBox": {
                "width": 0.36888888,
                "height": 0.2777778,
                "left": 0.4814815,
                "top": 0.4422222
            },
            "emotions": [
                {
                    "type": "SAD",
                    "confidence": 40.245743
                },
                {
                    "type": "CONFUSED",
                    "confidence": 15.142041
                },
                {
                    "type": "SURPRISED",
                    "confidence": 1.9677103
                }
            ],
            "smile": {
                "value": false,
                "confidence": 90.49947
            }
        },
                {
            "boundingBox": {
                "width": 0.36888888,
                "height": 0.2777778,
                "left": 0.4814815,
                "top": 0.4422222
            },
            "emotions": [
                {
                    "type": "SAD",
                    "confidence": 40.245743
                },
                {
                    "type": "CONFUSED",
                    "confidence": 15.142041
                },
                {
                    "type": "SURPRISED",
                    "confidence": 1.9677103
                }
            ],
            "smile": {
                "value": false,
                "confidence": 90.49947
            }
        },
                {
            "boundingBox": {
                "width": 0.36888888,
                "height": 0.2777778,
                "left": 0.4814815,
                "top": 0.4422222
            },
            "emotions": [
                {
                    "type": "SAD",
                    "confidence": 40.245743
                },
                {
                    "type": "CONFUSED",
                    "confidence": 15.142041
                },
                {
                    "type": "SURPRISED",
                    "confidence": 1.9677103
                }
            ],
            "smile": {
                "value": false,
                "confidence": 90.49947
            }
        },
                {
            "boundingBox": {
                "width": 0.36888888,
                "height": 0.2777778,
                "left": 0.4814815,
                "top": 0.4422222
            },
            "emotions": [
                {
                    "type": "Happy",
                    "confidence": 40.245743
                },
                {
                    "type": "CONFUSED",
                    "confidence": 15.142041
                },
                {
                    "type": "SURPRISED",
                    "confidence": 1.9677103
                }
            ],
            "smile": {
                "value": false,
                "confidence": 90.49947
            }
        }
    ]
}

根据这些数据，我需要获得具有最高置信度分数的情绪，创建变量并将此分数分配给该分数。对于前者从上面的数据来看，我的输出应该如下所示。

Happy: 1
Sad: 3

这里的打印顺序无关紧要。我问你这个因为，我无法理解如何在旅途中创建一个变量。即如果另一个变量type为cool，那么我需要一个名为cool的变量及其计数。

此外，我无法理解如何捕获emotions值

以下是我尝试的代码

private static void getTheResultBasedOnEmotions(String inputText)
            throws JsonParseException, JsonMappingException, IOException {
        ObjectMapper mapper = new ObjectMapper();
        Map<String, Object> map = mapper.readValue(inputText, new TypeReference<Map<String, Object>>() {
        });
        List faceCount = (List) map.get("faceDetails");

        System.out.println(faceCount.toString());
    }

我得到的结果如下

[
{
            "boundingBox": {
                "width": 0.36888888,
                "height": 0.2777778,
                "left": 0.4814815,
                "top": 0.4422222
            },
            "emotions": [
                {
                    "type": "SAD",
                    "confidence": 40.245743
                },
                {
                    "type": "CONFUSED",
                    "confidence": 15.142041
                },
                {
                    "type": "SURPRISED",
                    "confidence": 1.9677103
                }
            ],
            "smile": {
                "value": false,
                "confidence": 90.49947
            }
        },
                {
            "boundingBox": {
                "width": 0.36888888,
                "height": 0.2777778,
                "left": 0.4814815,
                "top": 0.4422222
            },
            "emotions": [
                {
                    "type": "SAD",
                    "confidence": 40.245743
                },
                {
                    "type": "CONFUSED",
                    "confidence": 15.142041
                },
                {
                    "type": "SURPRISED",
                    "confidence": 1.9677103
                }
            ],
            "smile": {
                "value": false,
                "confidence": 90.49947
            }
        },
                {
            "boundingBox": {
                "width": 0.36888888,
                "height": 0.2777778,
                "left": 0.4814815,
                "top": 0.4422222
            },
            "emotions": [
                {
                    "type": "SAD",
                    "confidence": 40.245743
                },
                {
                    "type": "CONFUSED",
                    "confidence": 15.142041
                },
                {
                    "type": "SURPRISED",
                    "confidence": 1.9677103
                }
            ],
            "smile": {
                "value": false,
                "confidence": 90.49947
            }
        },
                {
            "boundingBox": {
                "width": 0.36888888,
                "height": 0.2777778,
                "left": 0.4814815,
                "top": 0.4422222
            },
            "emotions": [
                {
                    "type": "Happy",
                    "confidence": 40.245743
                },
                {
                    "type": "CONFUSED",
                    "confidence": 15.142041
                },
                {
                    "type": "SURPRISED",
                    "confidence": 1.9677103
                }
            ],
            "smile": {
                "value": false,
                "confidence": 90.49947
            }
        }
]

请让我知道我该怎么做。

这里我使用jackson文件进行解析。

由于

Answer 1

这是我的方法：

借助Gson和Online POJO generator

将JSON解析为POJO

PS。您可以使用任何库，例如jackson，将JSON解析为POJO。

//classes generated by Json2POJO generator
class FaceDetail {
    private Object boundingBox;
    private List<Emotion> emotions;
    private Object smile;

    public List<Emotion> getEmotions() {
        return emotions;
    }
}

class Emotion {
    private String type;
    private Double confidence;

    public String getType() {
        return type;
    }
}

//Parse Json to POJO
List<FaceDetail> faceDetails = gson.fromJson(JSONData, ArrayList<FaceDetail>.class);

使用Java stream API

按类型计算情感数字

//Flap map all emotion to an ArrayList
List<Emotion> allEmotions = faceDetails.stream()
        .map(FaceDetail::getEmotions)
        .flatMap(emotions -> emotions.stream())
        .collect(Collectors.toList());

//count 
long countSAD = allEmotions.stream()
        .filter(emotion -> emotion.getType().equals("SAD"))
        .count();

希望这有助于：）

如何计算json中的出现次数

1 个答案: