rapidocr-web 0.1.2

A cross platform OCR Library based on OnnxRuntime.

rapidocr-web

Web use

1. Install package by pypi.

   $ pip install rapidocr-web
   

2. Run by command line.
   • Usage:

     $ rapidocr_web -h
     usage: rapidocr_web [-h] [-ip IP] [-p PORT]
     
     optional arguments:
     -h, --help            show this help message and exit
     -ip IP, --ip IP       IP Address
     -p PORT, --port PORT  IP port
     

   • Example:

     $ rapidocr_web -ip "0.0.0.0" -p 9003
     

3. Open http://localhost:9003/ to view, enjoy it.

API Use

1. Installrapidocr_web[api]

   $ pip install rapidocr_web[api]
   

2. Run

   • Usage:

     $ rapidocr_api -h
     usage: rapidocr_api [-h] [-ip IP] [-p PORT]
     
     optional arguments:
     -h, --help            show this help message and exit
     -ip IP, --ip IP       IP Address
     -p PORT, --port PORT  IP port
     

   • Example:

     $ rapidocr_api -ip 0.0.0.0 -p 9003
     

3. Use

   import requests
   
   url = 'http://localhost:9003/ocr'
   img_path = '../python/tests/test_files/ch_en_num.jpg'
   
   with open(img_path, 'rb') as f:
       file_dict = {'image': (img_path, f, 'image/png')}
       response = requests.post(url, files=file_dict, timeout=60)
   
   res_rec = response.json()
   print(res_rec)
   

4. Output

   Click to expand

   {
       "0": {
           "rec_txt": "香港深圳抽血，",
           "dt_boxes": [
               [265, 18],
               [472, 231],
               [431, 271],
               [223, 59]
           ],
           "score": "0.8175641223788261"
       },
       "1": {
           "rec_txt": "专业查性别",
           "dt_boxes": [
               [388, 15],
               [636, 257],
               [587, 307],
               [339, 65]
           ],
           "score": "0.8293875356515249"
       },
       "2": {
           "rec_txt": "专业鉴定B超单",
           "dt_boxes": [
               [215, 84],
               [509, 413],
               [453, 463],
               [159, 134]
           ],
           "score": "0.8626169338822365"
       },
       "3": {
           "rec_txt": "b超仪器查性别",
           "dt_boxes": [
               [128, 135],
               [430, 478],
               [366, 534],
               [64, 192]
           ],
           "score": "0.8449362441897392"
       },
       "4": {
           "rec_txt": "加微信eee",
           "dt_boxes": [
               [58, 189],
               [268, 450],
               [209, 498],
               [0, 236]
           ],
           "score": "0.8176911813872201"
       },
       "5": {
           "rec_txt": "可邮寄",
           "dt_boxes": [
               [493, 261],
               [617, 384],
               [577, 423],
               [454, 300]
           ],
           "score": "0.7494261413812637"
       }
   }
   

See details for RapidOCR.