python部署chineseocr_lite的实现示例

pip install -r requirements.txt

cd chineseocr_lite ## 进入chineseocr目录
python backend/main.py 

tornado==5.1.1
numpy==1.19.1
opencv_python==4.2.0.34
onnxruntime==1.4.0
Shapely==2.0.1
pyclipper==1.2.0
Pillow==9.5.0

# 使用python backend/main.py启动服务后
import base64
import requests
# 使用python backend/main.py启动服务后
def get_text1(img_path):
    # 方式1：直接传递file文件
    with open(img_path, 'rb') as f:
        file = f.read()
    body_data = {
        'compress': 960
    }
    img_file = {
        'file': file
    }
    result = requests.post('http://127.0.0.1:8089/api/tr-run/', files=img_file, params=body_data)
    print(result.json())
def get_text2(img_path):
    # 方式2：将文件放到data中传递, 该方式传递jpg文件时可能报错
    with open(img_path, 'rb') as f:
        file = f.read()
    body_data = {
        'img': str(base64.b64encode(file), 'utf-8'),
        'compress': 960
    }
    result = requests.post('http://127.0.0.1:8089/api/tr-run/', data=body_data)
    print(result.json())
if __name__ == '__main__':
    file_path = r'123.jpg'
    get_text1(file_path)
    get_text2(file_path)