不是广告哈，就是记录一下操作，因为这些页面真的很难找，即便知道缺什么也找不到对应位置在哪…
文章目录调用说明:（以Python为例）
步骤1：腾讯开服务步骤2：图片转base64使用步骤3：把base64编码转腾讯OCR步骤4：Json转Dict步骤5：Dict数据转Pandas.Dataframe格式：步骤6：整体依次调用 完整代码资料整理
调用说明:（以Python为例）整个流程：
- 腾讯开服务图片转base64编码把base64编码转腾讯OCR腾讯OCR返回的json，转Pandas Dict类型整理dict的数据为Pandas Dataframe类型
进入控制台：https://console.cloud.tencent.com/cam/capi，新建一个密钥：
在控制台开启资源包：https://console.cloud.tencent.com/ocr/overview
def change_img_to_base64(image_path):
"""base64编码图片"""
with open(image_path, 'rb') as f:
image_data = f.read()
base64_data: bytes = base64.b64encode(image_data) # base64编码
return base64_data
步骤3：把base64编码转腾讯OCR
def tencent_ocr(suffix, image_based_64):
"""腾讯OCR
:param suffix:图片的后缀，比如png,jpg
:param image_based_64:图片的base64编码
"""
from tencentcloud.common import credential
from tencentcloud.common.profile.client_profile import ClientProfile
from tencentcloud.common.profile.http_profile import HttpProfile
from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException
from tencentcloud.ocr.v20181119 import ocr_client, models
try:
cred = credential.Credential("自己的SecretId(看步骤1)", "自己的SecretKey(看步骤1)")
httpProfile = HttpProfile()
httpProfile.endpoint = "ocr.tencentcloudapi.com"
clientProfile = ClientProfile()
clientProfile.httpProfile = httpProfile
client = ocr_client.OcrClient(cred, "ap-beijing", clientProfile)
req = models.RecognizeTableOCRRequest()
params = {
"Imagebase64": "data:image/{suffix};base64,{image_based_64}".format(
suffix=suffix, image_based_64=image_based_64.decode("utf8"))
}
req.from_json_string(json.dumps(params))
resp = client.RecognizeTableOCR(req)
return resp.to_json_string()
except TencentCloudSDKException as err:
print(err)
步骤4：Json转Dict
def json_to_dict(my_json: str) -> dict:
"""json转dict类型"""
return json.loads(my_json)
步骤5：Dict数据转Pandas.Dataframe格式：
def formation(json_data):
"""根据腾讯ocr识别结果整理格式并输出"""
if json_data is not None:
dict_data = json_to_dict(json_data)
for table_index, table_data in enumerate(dict_data['TableDetections']): # 遍历每个表格的数据
table_data_list = []
for each_table_data in table_data['Cells']: # 遍历每个表中的数据
content: str = each_table_data['Text']
x_y: list = list(each_table_data['Polygon'][0].values())
x_y.append(content)
table_data_list.append(x_y)
# 整理格式
table_df = pd.Dataframe(table_data_list)
table_df.columns = ['x', 'y', 'content']
table_df.sort_values(by=['y', 'x'], ascending=True, inplace=True)
for index, line_df in table_df.groupby("y"): # 按每行进行处理
line_df.sort_values(by=['x'], ascending=True, inplace=True)
line_values = line_df['content'].values # 当前行的数据
print(",".join(line_values))
步骤6：整体依次调用
if __name__ == '__main__':
image = "mypic.png"
image_base64 = change_img_to_base64(image) # 步骤1：图片转base64
suffix = image.split('.')[-1] # 后缀
tencent_result: json = tencent_ocr(suffix, image_base64)
formation(tencent_result)
完整代码
import base64
import json
import pandas as pd
def change_img_to_base64(image_path):
"""base64编码图片"""
with open(image_path, 'rb') as f:
image_data = f.read()
base64_data: bytes = base64.b64encode(image_data) # base64编码
return base64_data
def json_to_dict(my_json: str) -> dict:
"""json转dict类型"""
return json.loads(my_json)
def tencent_ocr(suffix, image_based_64):
"""腾讯OCR
:param suffix:图片的后缀，比如png,jpg
:param image_based_64:图片的base64编码
"""
from tencentcloud.common import credential
from tencentcloud.common.profile.client_profile import ClientProfile
from tencentcloud.common.profile.http_profile import HttpProfile
from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException
from tencentcloud.ocr.v20181119 import ocr_client, models
try:
cred = credential.Credential("自己的SecretId(看步骤1)", "自己的SecretKey(看步骤1)")
httpProfile = HttpProfile()
httpProfile.endpoint = "ocr.tencentcloudapi.com"
clientProfile = ClientProfile()
clientProfile.httpProfile = httpProfile
client = ocr_client.OcrClient(cred, "ap-beijing", clientProfile)
req = models.RecognizeTableOCRRequest()
params = {
"Imagebase64": "data:image/{suffix};base64,{image_based_64}".format(
suffix=suffix, image_based_64=image_based_64.decode("utf8"))
}
req.from_json_string(json.dumps(params))
resp = client.RecognizeTableOCR(req)
return resp.to_json_string()
except TencentCloudSDKException as err:
print(err)
def formation(json_data):
"""根据腾讯ocr识别结果整理格式并输出"""
if json_data is not None:
dict_data = json_to_dict(json_data)
for table_index, table_data in enumerate(dict_data['TableDetections']): # 遍历每个表格的数据
table_data_list = []
for each_table_data in table_data['Cells']: # 遍历每个表中的数据
content: str = each_table_data['Text']
x_y: list = list(each_table_data['Polygon'][0].values())
x_y.append(content)
table_data_list.append(x_y)
# 整理格式
table_df = pd.Dataframe(table_data_list)
table_df.columns = ['x', 'y', 'content']
table_df.sort_values(by=['y', 'x'], ascending=True, inplace=True)
for index, line_df in table_df.groupby("y"): # 按每行进行处理
line_df.sort_values(by=['x'], ascending=True, inplace=True)
line_values = line_df['content'].values # 当前行的数据
print(",".join(line_values))
if __name__ == '__main__':
image = "mypic.png"
image_base64 = change_img_to_base64(image) # 步骤1：图片转base64
suffix = image.split('.')[-1] # 后缀
tencent_result: json = tencent_ocr(suffix, image_base64)
formation(tencent_result)
资料整理
腾讯提供的服务叫做行业文档识别：https://cloud.tencent.com/act/event/ocrdemo?dt=4
行业文档识别的接口文档：https://cloud.tencent.com/document/api/866/49525
API调试的界面在：https://console.cloud.tencent.com/api/explorer?Product=ocr&Version=2018-11-19&Action=RecognizeTableOCR&SignVersion=
