图像增强与特效-API调用实践-百度AI

百度智能云-图像增强-清晰度

文章目录

• 介绍
• 实践
• • Python 解释器
  • 获取token
  • 调用

    最近在整理草稿箱。2022-07-25。我的token应该早过期了哈，需要大家去官网查看最新的API接口+申请替换钥匙喔。

    介绍

    图像清晰度增强官网介绍&预览

    
    （图片来源网络，侵删）

    API文档

    API调用方式

    ApiExplorer平台

    实践

    Python 解释器

    1.交互命令
    print('当前 Python 解释器目录：')
    print(os.path.dirname(sys.executable))
    r"""
    当前 Python 解释器目录：
    C:\Users\jpch89\AppData\Local\Programs\Python\Python36
    """
    2. 直接在控制台查看
    Windows 版：cmd下，使用 where python
    

    获取token

    # encoding:utf-8
    import requests 
    # client_id 为官网获取的AK， client_secret 为官网获取的SK
    host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=【。。】&client_secret=【。。】'
    response = requests.get(host)
    if response:
        print(response.json())
    

    响应：

    {'refresh_token': '！！', 
    'expires_in': 2592000, 'session_key': '',
     'access_token': '！！',
     'scope': ''}
    

    调用

    # encoding:utf-8
    import requests
    import base64
    '''
    图像清晰度增强
    '''
    request_url = "https://aip.baidubce.com/rest/2.0/image-process/v1/image_definition_enhance"
    # 二进制方式打开图片文件
    f = open('[本地文件]', 'rb')
    img = base64.b64encode(f.read())
    params = {"image":img}
    access_token = '[调用鉴权接口获取的token]'
    request_url = request_url + "?access_token=" + access_token
    headers = {'content-type': 'application/x-www-form-urlencoded'}
    response = requests.post(request_url, data=params, headers=headers)
    if response:
        print (response.json())
    

    参考菜品识别项目

    图像识别API调用

    # coding=utf-8
    import sys
    import json
    import base64
    # 保证兼容python2以及python3
    IS_PY3 = sys.version_info.major == 3
    if IS_PY3:
        from urllib.request import urlopen
        from urllib.request import Request
        from urllib.error import URLError
        from urllib.parse import urlencode
        from urllib.parse import quote_plus
    else:
        import urllib2
        from urllib import quote_plus
        from urllib2 import urlopen
        from urllib2 import Request
        from urllib2 import URLError
        from urllib import urlencode
    # 防止https证书校验不正确
    import ssl
    ssl._create_default_https_context = ssl._create_unverified_context
    API_KEY = 'VlCzAIKSYNgjfkhC8PRLPx0Z'
    SECRET_KEY = '0G9cNdtwmx0GxlaCMgjHtvGvWYlTLIMu'
    IMAGE_RECOGNIZE_URL = "https://aip.baidubce.com/rest/2.0/image-classify/v2/dish"
    """  TOKEN start """
    TOKEN_URL = 'https://aip.baidubce.com/oauth/2.0/token'
    """
        获取token
    """
    def fetch_token():
        params = {'grant_type': 'client_credentials',
                  'client_id': API_KEY,
                  'client_secret': SECRET_KEY}
        post_data = urlencode(params)
        if (IS_PY3):
            post_data = post_data.encode('utf-8')
        req = Request(TOKEN_URL, post_data)
        try:
            f = urlopen(req, timeout=5)
            result_str = f.read()
        except URLError as err:
            print(err)
        if (IS_PY3):
            result_str = result_str.decode()
        result = json.loads(result_str)
        if ('access_token' in result.keys() and 'scope' in result.keys()):
            if not 'brain_all_scope' in result['scope'].split(' '):
                print ('please ensure has check the  ability')
                exit()
            return result['access_token']
        else:
            print ('please overwrite the correct API_KEY and SECRET_KEY')
            exit()
    """
        读取文件
    """
    def read_file(image_path):
        f = None
        try:
            f = open(image_path, 'rb')
            return f.read()
        except:
            print('read image file fail')
            return None
        finally:
            if f:
                f.close()
    """
        调用远程服务
    """
    def request(url, data):
        req = Request(url, data.encode('utf-8'))
        has_error = False
        try:
            f = urlopen(req)
            result_str = f.read()
            if (IS_PY3):
                result_str = result_str.decode()
            return result_str
        except  URLError as err:
            print(err)
    """
        调用菜品识别接口并打印结果
    """
    def print_result(filename, url):
        # 获取图片
        file_content = read_file(filename)
        response = request(url, urlencode(
            {
                'image': base64.b64encode(file_content),
                'top_num': 1
            }))
        result_json = json.loads(response)
        # 打印图片结果
        for data in result_json["result"]:
            print(u"  菜品名称: " + data["name"])
            if data[u'has_calorie']:
                print(u"  菜品热量: " + data["calorie"])
    if __name__ == '__main__':
        # 获取access token
        token = fetch_token()
        # 拼接图像识别url
        url = IMAGE_RECOGNIZE_URL + "?access_token=" + token
        # 菜品图1
        print("菜品1")
        print_result("./food1.jpg", url)
        # 菜品图3
        print("菜品2")
        print_result("./food2.jpg", url)
        # 菜品图3
        print("菜品3")
        print_result("./food3.jpg", url)