【发布时间】:2022-01-20 23:21:06
【问题描述】:
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 编译后只包含一个结果,我希望将所有结果放在一个嵌套循环中
我想得到:
{
"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
}
}
代码正在替换文本,我想添加另一组名称和置信度。
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)
【问题讨论】:
标签: python dictionary nested-loops