TAi"RSrSSKrSSKrS SjrS SjrSrSrSrSr S r S r g) zpFunctions useful for detecting graphical elements from the image to using OpenCV to reconstruct / detect tables.Nc$[R"U5n[R"U[R5nU(d[R "U5n[R "US[R[RX#5nXF4$)aThresholds an image using OpenCV's adaptiveThreshold. Parameters ---------- imagename : string Path to image file. process_background : bool, optional (default: False) Whether or not to process lines that are in background. blocksize : int, optional (default: 15) Size of a pixel neighborhood that is used to calculate a threshold value for the pixel: 3, 5, 7, and so on. For more information, refer `OpenCV's adaptiveThreshold `_. c : int, optional (default: -2) Constant subtracted from the mean or weighted mean. Normally, it is positive but may be zero or negative as well. For more information, refer `OpenCV's adaptiveThreshold `_. Returns ------- img : object numpy.ndarray representing the original image. threshold : object numpy.ndarray representing the thresholded image. ) cv2imreadcvtColorCOLOR_BGR2GRAYnpinvertadaptiveThresholdADAPTIVE_THRESH_GAUSSIAN_C THRESH_BINARY) imagenameprocess_background blocksizecimggray thresholds T/var/www/html/land-ocr/venv/lib/python3.13/site-packages/camelot/image_processing.pyadaptive_thresholdrsi: **Y C <<S// 0D yy%% c31133D3DiI >c0US;a [S5e[XU5upV[X5n[XU5n[R "UR [R5[R[R5up[X5n Xz4$)a Finds horizontal and vertical lines by applying morphological transformations on an image. Parameters ---------- threshold : object numpy.ndarray representing the thresholded image. regions : list, optional (default: None) List of page regions that may contain tables of the form x1,y1,x2,y2 where (x1, y1) -> left-top and (x2, y2) -> right-bottom in image coordinate space. direction : string, optional (default: 'horizontal') Specifies whether to find vertical or horizontal lines. line_scale : int, optional (default: 40) Factor by which the page dimensions will be divided to get smallest length of lines that should be detected. iterations : int, optional (default: 0) Number of times for erosion/dilation is applied. Returns ------- dmask : object numpy.ndarray representing pixels where vertical/horizontal lines lie. lines : list List of tuples representing vertical/horizontal lines with coordinates relative to a left-top origin in image coordinate space. )vertical horizontalz6Specify direction as either 'vertical' or 'horizontal') ValueErrorcreate_structuring_elementapply_region_mask process_imager findContoursastyper uint8 RETR_EXTERNALCHAIN_APPROX_SIMPLEextract_lines_from_contours) rregions direction line_scale iterationselsizeprocessed_thresholdcontours_liness r find_linesr/.s@22QRR)) KHB!)5I' zB""""288,c.?.?AXAXKH ( x1x2y1y2s rr$r$s E %%a( aEBEB  " LL27q."Bw1nbA B , & LL"Bw1nb7q.A B LrcX-n[R"UR[R5[R [R 5up4[U[RSS9SSn/nUHGn[R"USS5n[R"U5uppURXX45 MI U$)aFind table boundaries using OpenCV's findContours. Parameters ---------- vertical : object numpy.ndarray representing pixels where vertical lines lie. horizontal : object numpy.ndarray representing pixels where horizontal lines lie. Returns ------- cont : list List of tuples representing table boundaries. Each tuple is of the form (x, y, w, h) where (x, y) -> left-top, w -> width and h -> height in image coordinate space. T)keyreverseN ) rrr r r!r"r#sorted contourArea approxPolyDPrErF) rrmaskr,__contrc_polyr;r<r=r>s r find_contoursrWs$  D## BHHs00#2I2ILHhCOOTB3BGH D !!!Q-%%f- a Q1L! Krc[R"X5n0nUHnUupgpX7Xy-2XfU-24n [R"U R [R 5[R [R5up[U 5S::aMz/n U HMn[R"U5unnnnUSU-U-S--USU-U-S--nnU RUU45 MO XXgU -Xh-U4'M U$)aFind joints/intersections present inside each table boundary. Parameters ---------- contours : list List of tuples representing table boundaries. Each tuple is of the form (x, y, w, h) where (x, y) -> left-top, w -> width and h -> height in image coordinate space. vertical : object numpy.ndarray representing pixels where vertical lines lie. horizontal : object numpy.ndarray representing pixels where horizontal lines lie. Returns ------- tables : dict Dict with table boundaries as keys and list of intersections in that boundary as their value. Keys are of the form (x1, y1, x2, y2) where (x1, y1) -> lb and (x2, y2) -> rt in image coordinate space. rD) r r8rrr r! RETR_CCOMPr#lenrErF)r,rrjointstablesrr;r<r=r>roijcrT joint_coordsjjxjyjwjhc1c2s r find_jointsrhs.[[ .F F  aYE )*!! JJrxx #..#2I2I  r7a<  A --a0NBB!b&2+!++Q!b&2+!1C-CB   R )(4q5!%#$ Mr)F)Nr(r) __doc__rnumpyr rr/rrrr$rWrhrrros@v $PPQ-&`842:D(r