python百度智能云图像识别文字 图形结合

百度智能云提供了丰富的图像识别API，包括OCR文字识别和图像识别等。可以使用Python的requests库和百度智能云提供的API接口进行图像识别。

具体步骤如下：

1. 在百度智能云控制台创建应用，获取API Key和Secret Key。

2. 安装requests库，使用API Key和Secret Key生成Access Token。

3. 使用Access Token和API接口对图像进行识别，获取识别结果。

示例代码如下：

import requests
import base64

# 获取Access Token
def get_access_token(api_key, secret_key):
    url = 'https://aip.baidubce.com/oauth/2.0/token'
    params = {
        'grant_type': 'client_credentials',
        'client_id': api_key,
        'client_secret': secret_key,
    }
    response = requests.post(url, params=params)
    if response:
        access_token = response.json()['access_token']
        return access_token
    else:
        return None

# OCR文字识别
def ocr_text_recognition(image_path, access_token):
    url = 'https://aip.baidubce.com/rest/2.0/ocr/v1/general_basic'
    with open(image_path, 'rb') as f:
        image_data = f.read()
    image_base64 = base64.b64encode(image_data).decode('utf-8')
    data = {'image': image_base64}
    headers = {'Content-Type': 'application/x-www-form-urlencoded'}
    params = {'access_token': access_token}
    response = requests.post(url, params=params, headers=headers, data=data)
    if response:
        result = response.json()['words_result']
        return result
    else:
        return None

# 物体识别
def object_detection(image_path, access_token):
    url = 'https://aip.baidubce.com/rest/2.0/image-classify/v2/advanced_general'
    with open(image_path, 'rb') as f:
        image_data = f.read()
    image_base64 = base64.b64encode(image_data).decode('utf-8')
    data = {'image': image_base64}
    headers = {'Content-Type': 'application/x-www-form-urlencoded'}
    params = {'access_token': access_token}
    response = requests.post(url, params=params, headers=headers, data=data)
    if response:
        result = response.json()['result']
        return result
    else:
        return None

if __name__ == '__main__':
    # 替换为自己的API Key和Secret Key
    api_key = 'your_api_key'
    secret_key = 'your_secret_key'

    # 获取Access Token
    access_token = get_access_token(api_key, secret_key)

    # 图像识别
    image_path = 'test.jpg'
    text_result = ocr_text_recognition(image_path, access_token)
    object_result = object_detection(image_path, access_token)

    # 输出识别结果
    print(text_result)
    print(object_result)

以上代码演示了如何使用Python和百度智能云API实现OCR文字识别和物体识别。可以根据自己的需求修改API接口和参数，实现更多功能。