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ReadingFilledForm-0.0.7
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مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشترتوضیحات
This is the main calling python script that will invoke the class to initiate the reading capability & display text from a formatted forms.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | OS Independent |
| نام فایل | ReadingFilledForm-0.0.7 |
| نام | ReadingFilledForm |
| نسخه کتابخانه | 0.0.7 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | - |
| ایمیل نویسنده | Satyaki De <satyakide.us@gmail.com> |
| آدرس صفحه اصلی | - |
| آدرس اینترنتی | https://pypi.org/project/ReadingFilledForm/ |
| مجوز | Copyright 2022 @ Satyaki De Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
# Reading texts from the pre-filled scanned forms or live-scanner individual frames.
## About this package
This computer-vision package will invoke the python script that will instantiate the class to initiate the reading capability & display text from a pre-filled scanned forms or live scanner-based individual frames. This application developed using Open-CV. This project is for the advanced Python developer & Data Science Newbi's.
## How to use this package
(The following instructions apply to Posix/bash. Windows users should check
[here](https://docs.python.org/3/library/venv.html).)
First, clone this repository and open a terminal inside the root folder.
Create and activate a new virtual environment (recommended) by running
the following:
```bash
python3 -m venv venv
source venv/bin/activate
```
Install the requirements:
```bash
pip install -r requirements.txt
```
Run the Augmented Reality-App:
```bash
python readingFormLib.py
```
Make sure that you are properly connected with a functional WebCam or scanned images (Preferably a separate external WebCAM).
Please find the dependent package -
```
cmake==3.22.1
dlib==19.19.0
imutils==0.5.3
jsonschema==4.4.0
numpy==1.23.2
oauthlib==3.1.1
opencv-contrib-python==4.6.0.66
opencv-contrib-python-headless==4.4.0.46
opencv-python==4.6.0.66
opencv-python-headless==4.5.5.62
pandas==1.4.3
python-dateutil==2.8.2
pytesseract==0.3.10
requests==2.27.1
requests-oauthlib==1.3.0
```
## How to use this Package
We need to understand that the current class has some basic limitations. We need to define the areas in terms of pixel position, which we need to extract.
We need to fill-up the zone in the following way -
```
'MY_DICT': {
"atrib_1": {"id": "FileNo", "bbox": (425, 60, 92, 34), "filter_keywords": tuple(["FILE", "DEPT"])},
"atrib_2": {"id": "DeptNo", "bbox": (545, 60, 87, 40), "filter_keywords": tuple(["DEPT", "CLOCK"])},
"atrib_3": {"id": "ClockNo", "bbox": (673, 60, 75, 36), "filter_keywords": tuple(["CLOCK","VCHR.","NO."])},
"atrib_4": {"id": "VCHRNo", "bbox": (785, 60, 136, 40), "filter_keywords": tuple(["VCHR.","NO."])},
"atrib_5": {"id": "DigitNo", "bbox": (949, 60, 50, 38), "filter_keywords": tuple(["VCHR.","NO.", "056"])},
"atrib_6": {"id": "CompanyName", "bbox": (326, 140, 621, 187), "filter_keywords": tuple(["COMPANY","FILE"])},
"atrib_7": {"id": "StartDate", "bbox": (1264, 143, 539, 44), "filter_keywords": tuple(["Period", "Beginning:"])},
"atrib_8": {"id": "EndDate", "bbox": (1264, 193, 539, 44), "filter_keywords": tuple(["Period", "Ending:"])},
"atrib_9": {"id": "PayDate", "bbox": (1264, 233, 539, 44), "filter_keywords": tuple(["Pay", "Date:"])},
}
```
From the above, as you can see that you need pass the area that you want to extract by the following method ->
"atrib_<Number>": {"id": <Your FieldName that you want to capture inside the Python>, "bbox": (x-Coordinates, y-Coordinates, Width, Height), "filter_keywords": tuple(["Mention the overlapping printed text that you don't want to capture. Make sure you are following the exact Case to proper detection."])}
You can easily get the individual intended text position by using any Photo editor.
Let's see the complete code of this config file ->
### clsConfigClient.py
```
################################################
#### Written By: SATYAKI DE ####
#### Written On: 15-May-2020 ####
#### Modified On: 17-Sep-2022 ####
#### ####
#### Objective: This script is a config ####
#### file, contains all the keys for ####
#### text extraction via image scanning. ####
#### ####
################################################
import os
import platform as pl
my_dict = {}
class clsConfigClient(object):
Curr_Path = os.path.dirname(os.path.realpath(__file__))
os_det = pl.system()
if os_det == "Windows":
sep = '\\'
else:
sep = '/'
conf = {
'APP_ID': 1,
'ARCH_DIR': Curr_Path + sep + 'arch' + sep,
'PROFILE_PATH': Curr_Path + sep + 'profile' + sep,
'LOG_PATH': Curr_Path + sep + 'log' + sep,
'REPORT_PATH': Curr_Path + sep + 'report',
'SRC_PATH': Curr_Path + sep + 'data' + sep,
'FINAL_PATH': Curr_Path + sep + 'Target' + sep,
'IMAGE_PATH': Curr_Path + sep + 'Scans' + sep,
'TEMPLATE_PATH': Curr_Path + sep + 'Template' + sep,
'APP_DESC_1': 'Text Extraction from Video!',
'DEBUG_IND': 'N',
'INIT_PATH': Curr_Path,
'SUBDIR': 'data',
'WIDTH': 320,
'HEIGHT': 320,
'PADDING': 0.1,
'SEP': sep,
'MIN_CONFIDENCE':0.5,
'GPU':-1,
'FILE_NAME':'FilledUp.jpeg',
'TEMPLATE_FILE_NAME':'Template.jpeg',
'TITLE': "Text Reading!",
'ORIG_TITLE': "Camera Source!",
'LANG':"en",
'OEM_VAL': 1,
'PSM_VAL': 7,
'DRAW_TAG': (0, 0, 255),
'LAYER_DET':[
"feature_fusion/Conv_7/Sigmoid",
"feature_fusion/concat_3"],
"CACHE_LIM": 1,
'ASCII_RANGE': 128,
'SUBTRACT_PARAM': (123.68, 116.78, 103.94),
'MY_DICT': {
"atrib_1": {"id": "FileNo", "bbox": (425, 60, 92, 34), "filter_keywords": tuple(["FILE", "DEPT"])},
"atrib_2": {"id": "DeptNo", "bbox": (545, 60, 87, 40), "filter_keywords": tuple(["DEPT", "CLOCK"])},
"atrib_3": {"id": "ClockNo", "bbox": (673, 60, 75, 36), "filter_keywords": tuple(["CLOCK","VCHR.","NO."])},
"atrib_4": {"id": "VCHRNo", "bbox": (785, 60, 136, 40), "filter_keywords": tuple(["VCHR.","NO."])},
"atrib_5": {"id": "DigitNo", "bbox": (949, 60, 50, 38), "filter_keywords": tuple(["VCHR.","NO.", "056"])},
"atrib_6": {"id": "CompanyName", "bbox": (326, 140, 621, 187), "filter_keywords": tuple(["COMPANY","FILE"])},
"atrib_7": {"id": "StartDate", "bbox": (1264, 143, 539, 44), "filter_keywords": tuple(["Period", "Beginning:"])},
"atrib_8": {"id": "EndDate", "bbox": (1264, 193, 539, 44), "filter_keywords": tuple(["Period", "Ending:"])},
"atrib_9": {"id": "PayDate", "bbox": (1264, 233, 539, 44), "filter_keywords": tuple(["Pay", "Date:"])},
}
}
```
## Common Issue - Troubleshoots
You need to identify whether even after installing the package, you may still say the following errors: <> module not found.
In case you tried installing a package and get an output:>>Requirement already satisfied.
You will find a path in your output where it says Requirement already satisfied, copy the path. Now go back to your working environment.
```
import sys
sys.path.append("/YourPathSharedByThePreviousCommand")
```
Place this command even before calling the new package. However, this is optional.
Or, you might face this issue due to multiple versions of Python.
Use the following ways to install that specific package to a specific version of your python -
```
python3.10 -m pip install <LibraryName>
```
## How to invoke this package
Following is the sample demo snippet to invoke the main python package ->
### readingFormLib.py
```
#####################################################
#### Written By: SATYAKI DE ####
#### Written On: 22-Jul-2022 ####
#### Modified On 15-Sep-2022 ####
#### ####
#### Objective: This is the main calling ####
#### python script that will invoke the ####
#### ReadingFilledForm package to initiate ####
#### the reading capability in real-time ####
#### & display text from a formatted forms. ####
#####################################################
# We keep the setup code in a different class as shown below.
from ReadingFilledForm import clsReadForm as rf
from clsConfigClient import clsConfigClient as cf
import datetime
import logging
###############################################
### Global Section ###
###############################################
# Instantiating all the main class
scannedImagePath = str(cf.conf['IMAGE_PATH']) + str(cf.conf['FILE_NAME'])
templatePath = str(cf.conf['TEMPLATE_PATH']) + str(cf.conf['TEMPLATE_FILE_NAME'])
x1 = rf.clsReadForm(scannedImagePath, templatePath)
###############################################
### End of Global Section ###
###############################################
def main():
try:
# Other useful variables
debugInd = 'Y'
var = datetime.datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
var1 = datetime.datetime.now()
print('Start Time: ', str(var))
# End of useful variables
# Initiating Log Class
general_log_path = str(cf.conf['LOG_PATH'])
# Enabling Logging Info
logging.basicConfig(filename=general_log_path + 'readingForm.log', level=logging.INFO)
print('Started extracting text from formatted forms!')
# Getting the dictionary
my_dict = cf.conf['MY_DICT']
# Execute all the pass
r1 = x1.startProcess(debugInd, var, my_dict)
if (r1 == 0):
print('Successfully extracted text from the formatted forms!')
else:
print('Failed to extract the text from the formatted forms!')
var2 = datetime.datetime.now()
c = var2 - var1
minutes = c.total_seconds() / 60
print('Total difference in minutes: ', str(minutes))
print('End Time: ', str(var1))
except Exception as e:
x = str(e)
print('Error: ', x)
if __name__ == "__main__":
main()
```
Note that the debug indicator is set to "Y". This will generate logs. If you change this to 'N'. No logs will be generated. However, the process will be faster.
You can certainly contact me to add any features. Depending upon my bandwidth, I'll add them. Please share your feedback at my Technical blog site shared below.
## Resources
- To learn more about Open-CV, check out our [documentation](https://opencv.org/opencv-free-course/).
- To learn more about my website, check out the blog [documentation](https://satyakide.com).
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.7 | Python |
نحوه نصب
نصب پکیج whl ReadingFilledForm-0.0.7:
pip install ReadingFilledForm-0.0.7.whl
نصب پکیج tar.gz ReadingFilledForm-0.0.7:
pip install ReadingFilledForm-0.0.7.tar.gz