百度智能云-图像增强-清晰度
文章目录
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
API文档
API调用方式
ApiExplorer平台
实践
Python 解释器
bash
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
python
# 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:
bash
{'refresh_token': '!!',
'expires_in': 2592000, 'session_key': '',
'access_token': '!!',
'scope': ''}
调用
python
# 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
python
# 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)