Python - 将嵌套项添加到一个嵌套列表

Python - Add nested items to one nested list

我正在尝试创建一个名为 Results 的嵌套 Python 字典。

我正在使用 AWS Rekognition 获取图像并输出结果。

results_dict编译后只有一个结果,我希望所有结果都在一个嵌套循环中

我正在尝试获取:

{
    "Results": [
        {
            "Name": "Human",
            "Confidence": 98.87621307373047,
        },
                {
            "Name": "Face",
            "Confidence": 98.87621307373047,
        },
        {
            "Name": "Person",
            "Confidence": 98.87621307373047,
        },
        
    ]
}

但我得到:

{
    'Results': 
        {
          'Name': 'Paper', 
          'Confidence': 57.299766540527344
        }
}

代码正在替换文字,我想再添加一组Name和Confidence。

我的代码是:

import boto3
import json

BUCKET = "*****"

FOLDER = 'testing/'
JOEY =  FOLDER + "Joey_30_Sept.png"
BEYONCE = FOLDER + "beyonce_rekognition_moderation_testing.jpg"
MANBEARD = FOLDER + "man_beard.jpg"
MEN = FOLDER + "men_group.jpg"


client = boto3.client('rekognition')
                                
response = client.detect_labels(Image=
                                {'S3Object': {
                                    'Bucket': BUCKET,
                                    'Name': JOEY
                                }},
                                MaxLabels = 10,
                                MinConfidence=0)
 

results_dict = {}
results_dict['Results'] = {}
results_dict['Results']['Name'] = ""
results_dict['Results']['Confidence'] = ""
               
for label in response['Labels']:
    name = label['Name'] #to get the whole bounding box.
    confidence = label['Confidence'] 
    
    name_str = str(name)
    conf_str = str(confidence)
    
    results_dict["Results"]["Name"] = label['Name']
    results_dict["Results"]["Confidence"] = label['Confidence']

print(results_dict)

您将 results_dict['Results'] 定义为字典,因为字典不是列表:

...
results_dict = {}
results_dict['Results'] = []
results_dict['Results']['Name'] = ""
results_dict['Results']['Confidence'] = ""
               
for label in response['Labels']:
    name = label['Name'] #to get the whole bounding box.
    confidence = label['Confidence'] 
    
    name_str = str(name)
    conf_str = str(confidence)
    
    results_dict['Results'].append({["Name": name_str, "Confidence": conf_str })
print(results_dict)