ulikoehler / otr Goto Github PK

Right now, all I get is an image out.png that shows the cells and their grid numbers (shown below).

Is there a way to programmatically get the table structure (rows, cols, spans if any) and bounding boxes of each cells? I would like to then perform OCR and extract the table data from the image.

Thanks in advance. :)

Dear Uli,
Thank you for this great this package, it's made my life much easier. I am using it to recover information on how Peru's congresspersons' voted for any given law. I'm planning to publish this info to hopefully make the next elections more transparent. This is how the documents' fingerprint looks:

I've been able to extract the information for some pages. However, in others i've failed. If you look closely at the fingerprint the last column of row 21 is labeled as row 22. Do you have any recommendation on how to ensure table recognition chooses the correct x, y coordinates? Thank you so much!

AttributeError Traceback (most recent call last)
in ()
4 contour_analyzer.filter_contours(min_area=400)
5 contour_analyzer.build_graph()
----> 6 contour_analyzer.remove_non_table_nodes()
7 contour_analyzer.compute_contour_bounding_boxes(e)
8 contour_analyzer.separate_supernode(f)

~/transfer_learning/table_data/OTR/TableRecognition.py in remove_non_table_nodes(self)
208 self.supernode_idx = max(self.g.degree().items(), key=operator.itemgetter(1))[0]
209 for i in range(len(self.contours)):
--> 210 if self.contours[i] is None: continue
211 nxt, prev, first_child, parent = self.hierarchy[0, i]
212 # Remove node if it has a non-supernode node as parent

AttributeError: 'DiDegreeView' object has no attribute 'items'

Traceback (most recent call last):
File "/home/temp/Desktop/OTR-master/MIME/contour1.py", line 41, in
contour_analyzer.visualize_contours(img)
File "/home/temp/Desktop/OTR-master/MIME/TableRecognition.py", line 442, in visualize_contours
cv2.drawContours(img, self.contours_bbox, -1, (0,255,0), thickness)
cv2.error: OpenCV(4.1.0) /io/opencv/modules/imgproc/src/drawing.cpp:2606: error: (-215:Assertion failed) reader.ptr != NULL in function 'cvDrawContours'

is this the opencv version conflict problem ?

how could i install cv_algorithms

Hi
how can we recognize the table in the image which has not a strict table but table like pattern. for example please find the attachment in that image we have a table like structure we need to draw a bounding box around it. can you please help me with that how can we approach this.

How can I restore a table with python-docx based on this image?

I run module python test-otr.py 0110_099.png and get this error

Traceback (most recent call last):
File "C:/Users/User/Documents/проект по иммунологии/OTR/test-otr.py", line 56, in
img = runOTR("0110_099.png")
File "C:/Users/User/Documents/проект по иммунологии/OTR/test-otr.py", line 27, in runOTR
contour_analyzer.find_corner_clusters()
File "C:\Users\User\Documents\проект по иммунологии\OTR\TableRecognition.py", line 293, in find_corner_clusters
distmat = scipy.spatial.distance.cdist(corners, corners, 'euclidean')
File "C:\Users\User\Anaconda3\lib\site-packages\scipy\spatial\distance.py", line 2369, in cdist
raise ValueError('XA must be a 2-dimensional array.')
ValueError: XA must be a 2-dimensional array.

file:
http://www.nasflmuseum.com/uploads/4/9/5/8/4958573/_7848632_orig.jpg

python3 test-otr.py test2.jpg

Traceback (most recent call last):
  File "test-otr.py", line 56, in <module>
    img = runOTR(args.infile)
  File "test-otr.py", line 18, in runOTR
    contour_analyzer = TableRecognition.ContourAnalyzer(imgDil)
  File "/home/piotr/OTR/TableRecognition.py", line 76, in __init__
    im2, contours, hierarchy = cv2.findContours(img, cv2.RETR_TREE, cv2.CHAIN_APPROX_TC89_KCOS, **kwargs)
ValueError: not enough values to unpack (expected 3, got 2)

Python 3.6.3
Distributor ID: Ubuntu
Description: Ubuntu 17.10
Release: 17.10
Codename: artful
OpenCV: 3.1.0