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Split bounding rectangle on white spaces columnwise

outputImage = img.copy()

npaContours, npaHierarchy = cv2.findContours(rectdilation.copy(),
cv2.RETR_EXTERNAL,
cv2.CHAIN_APPROX_SIMPLE)

for npaContour in npaContours:
x,y,w,h = cv2.boundingRect(npaContour) if w < 10 or h < 10: continue

cv2.rectangle(outputImage,(x,y),(x+w,y+h),(0,255,0),2)

if cv2.contourArea(npaContour) > MIN_CONTOUR_AREA:          

    **[intX, intY, intW, intH] = cv2.boundingRect(npaContour)**

*split npaContour white spaces columnwise

Split bounding rectangle on white spaces columnwise

outputImage = img.copy()
 img.copy()

npaContours, npaHierarchy = cv2.findContours(rectdilation.copy(), 
 
                                             cv2.RETR_EXTERNAL, 
 
                                             cv2.CHAIN_APPROX_SIMPLE)          
  for npaContour in npaContours: 
 
    x,y,w,h = cv2.boundingRect(npaContour)
    if w < 10 or h < 10:
        continue  
  cv2.rectangle(outputImage,(x,y),(x+w,y+h),(0,255,0),2)

 if cv2.contourArea(npaContour) > MIN_CONTOUR_AREA:          

    **[intX,     [intX, intY, intW, intH] = cv2.boundingRect(npaContour)**
cv2.boundingRect(npaContour)
 *split npaContour white spaces columnwise

          3    None 
      updated 
        2020-06-22 22:15:47 -0600
     
 
 
  
 
 
 
  Split bounding rectangle on white spaces columnwise
 .
 outputImage = img.copy()
 outputImage = img.copy()

npaContours, npaHierarchy = cv2.findContours(rectdilation.copy(),        
                                             cv2.RETR_EXTERNAL,                 
                                             cv2.CHAIN_APPROX_SIMPLE)          

for npaContour in npaContours:                         
    x,y,w,h = cv2.boundingRect(npaContour)
    if w < 10 or h < 10:
        continue  

    cv2.rectangle(outputImage,(x,y),(x+w,y+h),(0,255,0),2)

    if cv2.contourArea(npaContour) > MIN_CONTOUR_AREA:          

        [intX, intY, intW, intH] = cv2.boundingRect(npaContour)
 *split npaContour white spaces columnwise
 
 
 
          4    None 
      updated 
        2020-06-23 09:14:15 -0600
     
 
 
  
 
 
 
  Split bounding rectangle on white spaces columnwise
 
 outputImage = img.copy()
 npaContours, npaHierarchy = cv2.findContours(rectdilation.copy(),        
                                             cv2.RETR_EXTERNAL,                 
                                             cv2.CHAIN_APPROX_SIMPLE)          

for npaContour in npaContours:                         
    x,y,w,h = cv2.boundingRect(npaContour)
    if w < 10 or h < 10:
        continue  

    cv2.rectangle(outputImage,(x,y),(x+w,y+h),(0,255,0),2)

    if cv2.contourArea(npaContour) > MIN_CONTOUR_AREA:          

        [intX, intY, intW, intH] = cv2.boundingRect(npaContour)
 *split npaContour white spaces columnwise
 
 
 
          5    None 
      updated 
        2020-06-23 09:20:18 -0600
     
 
 
  
 
 
 
  Split bounding rectangle on white spaces columnwise
 
 outputImage = img.copy()
 npaContours, npaHierarchy = cv2.findContours(rectdilation.copy(),        
                                             cv2.RETR_EXTERNAL,                 
                                             cv2.CHAIN_APPROX_SIMPLE)          

for npaContour in npaContours:                         
    x,y,w,h = cv2.boundingRect(npaContour)
    if w < 10 or h < 10:
        continue  

    cv2.rectangle(outputImage,(x,y),(x+w,y+h),(0,255,0),2)

    if cv2.contourArea(npaContour) > MIN_CONTOUR_AREA:          

        [intX, intY, intW, intH] = cv2.boundingRect(npaContour)
 *split npaContour white spaces columnwise
 
 
 
          6    None 
      updated 
        2020-06-23 11:48:50 -0600
     
    supra56  
 943  ●9 ●6  
 
 
 
  
 
 
 
  Split bounding rectangle on white spaces columnwise
 
 snippet:
  outputImage = img.copy()
 img.copy()

    npaContours, npaHierarchy = cv2.findContours(rectdilation.copy(),        
                                              cv2.RETR_EXTERNAL,                 
                                              cv2.CHAIN_APPROX_SIMPLE)          

 for npaContour in npaContours:                         
     x,y,w,h = cv2.boundingRect(npaContour)
     if w < 10 or h < 10:
         continue  

     cv2.rectangle(outputImage,(x,y),(x+w,y+h),(0,255,0),2)

     if cv2.contourArea(npaContour) > MIN_CONTOUR_AREA:          

         [intX, intY, intW, intH] = cv2.boundingRect(npaContour)
 *split npaContour white spaces columnwise