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Only look at 20% margins for hole punches. Works on all existing examples

This commit is contained in:
Matthew McWilliams 2022-11-09 16:55:02 -05:00
parent 73b61c0cab
commit e1c6777bf8
1 changed files with 41 additions and 19 deletions
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58
fourcell/analyze.py
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@ -46,6 +46,23 @@ print(f'Analyzing {scanImage} and creating {templateFile}')
img = cv2.imread(scanImage) img = cv2.imread(scanImage)
height, width = img.shape[:2] height, width = img.shape[:2]
orientation = height > width
pageDim = (11, 8.5)
if not orientation :
pageDim = (8.5, 11)
pageRatio = pageDim[1] / pageDim[0]
left=-1
right=-1
top=-1
bottom=-1
if orientation :
left = width * 0.2
right = width * 0.8
else :
top = height * 0.2
bottom = height * 0.8
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
@ -57,52 +74,57 @@ canny = cv2.Canny(thresh, 75, 200)
contours, hierarchy = cv2.findContours(canny, cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE) contours, hierarchy = cv2.findContours(canny, cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)
contour_list = [] contourList = []
area_list = [] areaList = []
for contour in contours: for contour in contours:
approx = cv2.approxPolyDP(contour, 0.01 * cv2.arcLength(contour, True), True) approx = cv2.approxPolyDP(contour, 0.03 * cv2.arcLength(contour, True), True)
if cv2.isContourConvex(approx) :
M = cv2.moments(contour)
cX = int(M["m10"] / M["m00"])
cY = int(M["m01"] / M["m00"])
if (orientation and ( cX < left or cX > right) ) or ( not orientation and ( cY < top or cY > bottom)) :
area = cv2.contourArea(contour) area = cv2.contourArea(contour)
area_list.append(area) areaList.append(area)
contour_list.append(contour) contourList.append(contour)
maxArea=0 maxArea=0
maxIndex=0 maxIndex=0
for i in range(len(area_list)) : for i in range(len(areaList)) :
area = area_list[i] area = areaList[i]
if area > maxArea: if area > maxArea:
maxArea = area maxArea = area
maxIndex = i maxIndex = i
count = 0 count = 0
hole_punches = [] holePunches = []
centers = [] centers = []
centersStr = [] centersStr = []
area_range = 0 areaRange = 0
# pretty good # pretty good
# add position constraint # add position constraint
while count < 6 : while count < 6 :
area_range+=1 areaRange+=1
for i in range(len(area_list)) : for i in range(len(areaList)) :
area = area_list[i] area = areaList[i]
if area == maxArea or area * ((100 + area_range) / 100) > maxArea : if area == maxArea or area * ((100 + areaRange) / 100) > maxArea :
M = cv2.moments(contour_list[i]) M = cv2.moments(contourList[i])
cX = int(M["m10"] / M["m00"]) cX = int(M["m10"] / M["m00"])
cY = int(M["m01"] / M["m00"]) cY = int(M["m01"] / M["m00"])
strC = f'{cX},{cY}' strC = f'{cX},{cY}'
if strC in centersStr : if strC in centersStr :
continue continue
centersStr.append(strC) centersStr.append(strC)
corners.append((cX, cY)) centers.append((cX, cY))
print(f'{cX},{cY}') print(f'{cX},{cY}')
cv2.circle(img, (cX, cY), 40, (255, 0, 0), -1) cv2.circle(img, (cX, cY), 40, (255, 0, 0), -1)
hole_punches.append(contour_list[i]) holePunches.append(contourList[i])
count+=1 count+=1
print(f'Found hole punches within {area_range}% of largest') print(f'Found hole punches within {areaRange}% of largest')
cv2.drawContours(img, hole_punches, -1, (0, 255, 0), 20) cv2.drawContours(img, holePunches, -1, (0, 255, 0), 20)
display(img) display(img)