# 百度智能云 API调用PythonSDK
这是一个用于百度云部分开放AI功能的Python库。主要为ORC功能，可以对各种图像文件进行文字识别，包括车牌、手写文字、通用文字、人脸发现、人脸比对和人流量统计等。
更多的功能大家可以提出，后续会慢慢开发这个库。
使用这个库，你可以很方便地调用百度云OCR API，并将识别结果以json的形式返回。你可以根据自己的需要来使用不同的API，以获得更精确或更快速的识别结果。
此外，这个库还提供了URL版本的文字识别功能，可以直接对网络图片进行识别。
# 使用方法
## 1.安装库
使用pip安装：
```bash
pip install baiducloud
```
1. 准备API Key和Secret Key
## 2.准备API Key和Secret Key
在使用百度云OCR API之前，你需要去百度云控制台申请API Key和Secret Key。
## 3.初始化baiducloud类
在你的代码中导入baiducloud类，并使用API Key和Secret Key初始化它：
```python
from baiducloud import baiducloud
api_key = "your_api_key"
secret_key = "your_secret_key"
bc = baiducloud(api_key, secret_key)
```
## 4.使用Python开发你的程序
### 例子1.车牌识别
```python
result = bc.orc_license_plate("image.jpg")
print(result)
```
返回结果是一个json
### 例子2.使用URL版本的文字识别
```python
result = bc.orc_license_plate_url("https://example.com/image.jpg")
print(result)
```
**注意：使用URL版本的文字识别方法时，你需要确保图片URL是可以公开访问的。**
### 例子3.使用人脸比对
```python
result = bc.face_compare("https://example.com/image.jpg"，"https://example.com/image1.jpg")
print(result)
```
当然，还有更多的使用方法，具体可以参考`baiducloud > main.py`，使用方法大同小异，文档就后续再更新。
# 生成环境
下面是我的机器人的真实使用环境，大家可以进行一个参考：
```python
#百度云 车牌识别
def baiduyun_orc_traffic_plate(img_path):
bc = baiducloud.baiducloud(sqlite.search_API("百度云应用API_Key"), sqlite.search_API("百度云应用Secret_Key"))
response_data = bc.orc_license_plate(img_path)
number = response_data['words_result']['number']
color = response_data['words_result']['color']
return "车牌号："+number+"\n颜色："+color
#百度云 车牌识别——URL版
def baiduyun_orc_traffic_plate_url(img_url):
bc = baiducloud.baiducloud(sqlite.search_API("百度云应用API_Key"), sqlite.search_API("百度云应用Secret_Key"))
response_data = bc.orc_license_plate_url(img_url)
number = response_data['words_result']['number']
color = response_data['words_result']['color']
return "车牌号："+number+"\n颜色："+color
#百度云 手写文字识别
def baiduyun_orc_handwriting(img_url):
bc = baiducloud.baiducloud(sqlite.search_API("百度云应用API_Key"), sqlite.search_API("百度云应用Secret_Key"))
response_data = bc.orc_handwriting_url(img_url)
words_result = response_data['words_result']
words = ""
for i in words_result:
words += i['words']+"\n"
return words[:-1]
#百度云 通用文字识别 高精度
def baiduyun_orc_accurate_basic(img_url):
bc = baiducloud.baiducloud(sqlite.search_API("百度云应用API_Key"), sqlite.search_API("百度云应用Secret_Key"))
response_data = bc.orc_accurate_basic_url(img_url)
words_result = response_data['words_result']
words = ""
for i in words_result:
words += i['words']+"\n"
return words[:-1]
#百度云 通用文字识别
def baiduyun_orc_general_basic(img_url):
bc = baiducloud.baiducloud(sqlite.search_API("百度云应用API_Key"), sqlite.search_API("百度云应用Secret_Key"))
response_data = bc.orc_general_basic_url()
words_result = response_data['words_result']
words = ""
for i in words_result:
words += i['words'] + "\n"
return words[:-1]
#百度云 人脸检测
def baiduyun_face_check(img_path):
bc = baiducloud.baiducloud(sqlite.search_API("百度云应用API_Key"), sqlite.search_API("百度云应用Secret_Key"))
response_data = bc.face_detect(img_path)
if response_data['error_code'] != 0:
return response_data['error_msg']
else:
return "检测到"+str(response_data['result']['face_num'])+"张人脸"
#百度云 人脸对比
def baiduyun_face_contrast(img_path,img_path1):
bc = baiducloud.baiducloud(sqlite.search_API("百度云应用API_Key"), sqlite.search_API("百度云应用Secret_Key"))
response_data = bc.face_compare(img_path,img_path1)
if response_data['error_code'] != 0:
return response_data['error_msg']
else:
return "两张人脸相似度为："+str(response_data['result']['score'])+"%"
#百度云 人流量
def baiduyun_person_num(img_path):
bc = baiducloud.baiducloud(sqlite.search_API("百度云应用API_Key"), sqlite.search_API("百度云应用Secret_Key"))
response_data = bc.person_num(img_path)
return "图片中人流量为："+str(response_data['person_num'])
```
当然，写的有些乱，但是应该可以看懂。
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\u751f\u6210\u73af\u5883\r\n\r\n\u4e0b\u9762\u662f\u6211\u7684\u673a\u5668\u4eba\u7684\u771f\u5b9e\u4f7f\u7528\u73af\u5883\uff0c\u5927\u5bb6\u53ef\u4ee5\u8fdb\u884c\u4e00\u4e2a\u53c2\u8003\uff1a\r\n\r\n```python\r\n#\u767e\u5ea6\u4e91 \u8f66\u724c\u8bc6\u522b\r\ndef baiduyun_orc_traffic_plate(img_path):\r\n bc = baiducloud.baiducloud(sqlite.search_API(\"\u767e\u5ea6\u4e91\u5e94\u7528API_Key\"), sqlite.search_API(\"\u767e\u5ea6\u4e91\u5e94\u7528Secret_Key\"))\r\n response_data = bc.orc_license_plate(img_path)\r\n number = response_data['words_result']['number']\r\n color = response_data['words_result']['color']\r\n return \"\u8f66\u724c\u53f7\uff1a\"+number+\"\\n\u989c\u8272\uff1a\"+color\r\n\r\n#\u767e\u5ea6\u4e91 \u8f66\u724c\u8bc6\u522b\u2014\u2014URL\u7248\r\ndef baiduyun_orc_traffic_plate_url(img_url):\r\n bc = baiducloud.baiducloud(sqlite.search_API(\"\u767e\u5ea6\u4e91\u5e94\u7528API_Key\"), sqlite.search_API(\"\u767e\u5ea6\u4e91\u5e94\u7528Secret_Key\"))\r\n response_data = bc.orc_license_plate_url(img_url)\r\n number = response_data['words_result']['number']\r\n color = response_data['words_result']['color']\r\n return \"\u8f66\u724c\u53f7\uff1a\"+number+\"\\n\u989c\u8272\uff1a\"+color\r\n\r\n#\u767e\u5ea6\u4e91 \u624b\u5199\u6587\u5b57\u8bc6\u522b\r\ndef baiduyun_orc_handwriting(img_url):\r\n bc = baiducloud.baiducloud(sqlite.search_API(\"\u767e\u5ea6\u4e91\u5e94\u7528API_Key\"), sqlite.search_API(\"\u767e\u5ea6\u4e91\u5e94\u7528Secret_Key\"))\r\n response_data = bc.orc_handwriting_url(img_url)\r\n words_result = response_data['words_result']\r\n words = \"\"\r\n for i in words_result:\r\n words += i['words']+\"\\n\"\r\n return words[:-1]\r\n\r\n#\u767e\u5ea6\u4e91 \u901a\u7528\u6587\u5b57\u8bc6\u522b \u9ad8\u7cbe\u5ea6\r\ndef baiduyun_orc_accurate_basic(img_url):\r\n bc = baiducloud.baiducloud(sqlite.search_API(\"\u767e\u5ea6\u4e91\u5e94\u7528API_Key\"), sqlite.search_API(\"\u767e\u5ea6\u4e91\u5e94\u7528Secret_Key\"))\r\n response_data = bc.orc_accurate_basic_url(img_url)\r\n words_result = response_data['words_result']\r\n words = \"\"\r\n for i in words_result:\r\n words += i['words']+\"\\n\"\r\n return words[:-1]\r\n\r\n#\u767e\u5ea6\u4e91 \u901a\u7528\u6587\u5b57\u8bc6\u522b\r\ndef baiduyun_orc_general_basic(img_url):\r\n bc = baiducloud.baiducloud(sqlite.search_API(\"\u767e\u5ea6\u4e91\u5e94\u7528API_Key\"), sqlite.search_API(\"\u767e\u5ea6\u4e91\u5e94\u7528Secret_Key\"))\r\n response_data = bc.orc_general_basic_url()\r\n words_result = response_data['words_result']\r\n words = \"\"\r\n for i in words_result:\r\n words += i['words'] + \"\\n\"\r\n return words[:-1]\r\n#\u767e\u5ea6\u4e91 \u4eba\u8138\u68c0\u6d4b\r\ndef baiduyun_face_check(img_path):\r\n bc = baiducloud.baiducloud(sqlite.search_API(\"\u767e\u5ea6\u4e91\u5e94\u7528API_Key\"), sqlite.search_API(\"\u767e\u5ea6\u4e91\u5e94\u7528Secret_Key\"))\r\n response_data = bc.face_detect(img_path)\r\n if response_data['error_code'] != 0:\r\n return response_data['error_msg']\r\n else:\r\n return \"\u68c0\u6d4b\u5230\"+str(response_data['result']['face_num'])+\"\u5f20\u4eba\u8138\"\r\n#\u767e\u5ea6\u4e91 \u4eba\u8138\u5bf9\u6bd4\r\ndef baiduyun_face_contrast(img_path,img_path1):\r\n bc = baiducloud.baiducloud(sqlite.search_API(\"\u767e\u5ea6\u4e91\u5e94\u7528API_Key\"), sqlite.search_API(\"\u767e\u5ea6\u4e91\u5e94\u7528Secret_Key\"))\r\n response_data = bc.face_compare(img_path,img_path1)\r\n if response_data['error_code'] != 0:\r\n return response_data['error_msg']\r\n else:\r\n return \"\u4e24\u5f20\u4eba\u8138\u76f8\u4f3c\u5ea6\u4e3a\uff1a\"+str(response_data['result']['score'])+\"%\"\r\n\r\n#\u767e\u5ea6\u4e91 \u4eba\u6d41\u91cf\r\ndef baiduyun_person_num(img_path):\r\n bc = baiducloud.baiducloud(sqlite.search_API(\"\u767e\u5ea6\u4e91\u5e94\u7528API_Key\"), sqlite.search_API(\"\u767e\u5ea6\u4e91\u5e94\u7528Secret_Key\"))\r\n response_data = bc.person_num(img_path)\r\n return \"\u56fe\u7247\u4e2d\u4eba\u6d41\u91cf\u4e3a\uff1a\"+str(response_data['person_num'])\r\n```\r\n\r\n\u5f53\u7136\uff0c\u5199\u7684\u6709\u4e9b\u4e71\uff0c\u4f46\u662f\u5e94\u8be5\u53ef\u4ee5\u770b\u61c2\u3002\r\n",
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