brian-yang/table-parser-opencv

Extract tables from images or PDFs and convert them to Excel files

table-parser-opencv's Issues

module 'utils' has no attribute verify_table

import utils
tables = [] # list of tables
for i in range(len(contours)):
# Verify that region of interest is a table
(rect, table_joints) = utils.verify_table(contours[i], intersections)
if rect == None or table_joints == None:
continue

# Create a new instance of a table
table = Table(rect[0], rect[1], rect[2], rect[3])

# Get an n-dimensional array of the coordinates of the table joints
joint_coords = []
for i in range(len(table_joints)):
    joint_coords.append(table_joints[i][0][0])
joint_coords = np.asarray(joint_coords)

# Returns indices of coordinates in sorted order
# Sorts based on parameters (aka keys) starting from the last parameter, then second-to-last, etc
sorted_indices = np.lexsort((joint_coords[:, 0], joint_coords[:, 1]))
joint_coords = joint_coords[sorted_indices]

# Store joint coordinates in the table instance
table.set_joints(joint_coords)

tables.append(table)

OSError: [WinError 193] %1 is not a valid Win32 application

Hi Brian ,

I am getting this issue while running the code

D:\data\POC\table-parser-opencv-master>python main.py D:\data\POC\test.pdf
Traceback (most recent call last):
File "main.py", line 161, in
fname = utils.run_textcleaner(fname, num_img)
File "D:\data\POC\table-parser-opencv-master\utils.py", line 69, in run_textcleaner
s.call(["./textcleaner", "-g", "-e", "none", "-f", str(10), "-o", str(5), filename, cleaned_file])
File "D:\Python37-32\lib\subprocess.py", line 323, in call
with Popen(*popenargs, **kwargs) as p:
File "D:\Python37-32\lib\subprocess.py", line 775, in init
restore_signals, start_new_session)
File "D:\Python37-32\lib\subprocess.py", line 1178, in _execute_child
startupinfo)
OSError: [WinError 193] %1 is not a valid Win32 application

Didn't work for me for my document

I tried to do OCR on a scanned PDF I have with tables but it didn't work. Is there a way I can send you the pdf?

Unapproved use of textcleaner script

Hello,

I had an inquiry from one of your table-parser-opencv users with a problem. To my surprise, when I looked into your git page, I see that your code uses my textcleaner, bash unix shell script that calls Imagemagick without my permission. Look carefully at my license at the top of the script.

Please contact me about this at fmw at alink dot net.

If you had previously contacted me, my apologies. However, there is inadequate reference to me an my work in your README file and to my licensing conditions.

Fred W

Image compressed unnecessarily

The input is being copied to target.jpg, but by doing this, the file is being compressed unnecessarily, adding compression artifacting: https://github.com/brian-yang/table-parser-opencv/blob/master/main.py#L27

Should I open a PR to change it to target.png?

FileNotFoundError: [Errno 2] No such file or directory: 'bin/cleaned/cleaned0.jpg'

Traceback (most recent call last):
File "D:\Python\Python37\lib\code.py", line 90, in runcode
exec(code, self.locals)
File "", line 1, in
File "D:\PyCharm Community Edition 2022.2.1\plugins\python-ce\helpers\pydev_pydev_bundle\pydev_umd.py", line 198, in runfile
pydev_imports.execfile(filename, global_vars, local_vars) # execute the script
File "D:\PyCharm Community Edition 2022.2.1\plugins\python-ce\helpers\pydev_pydev_imps_pydev_execfile.py", line 18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
File "E:/table-parser-opencv-master/main.py", line 164, in
text = utils.run_tesseract(fname, num_img, psm, oem)
File "E:\table-parser-opencv-master\utils.py", line 79, in run_tesseract
image = Image.open(filename)
File "E:\table-parser-opencv-master\venv\lib\site-packages\PIL\Image.py", line 2904, in open
fp = builtins.open(filename, "rb")
FileNotFoundError: [Errno 2] No such file or directory: 'bin/cleaned/cleaned0.jpg'

./textcleaner: line 459: [: ,0 7001028: integer expression expected

The issue is on MacOS mojave

Python 3.7.8
ImageMagick 7.0.10-28 Q16 x86_64 2020-08-16

So what about the recognition results？

Is it need to train the data set?

Works Partially.

It is partially working for scanned images. It crops just a few boxes from the entire table. Please suggest changes.