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potera-single-image.py
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potera-single-image.py
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from time import sleep
import cv2
import numpy
import sys
import easyocr
# Configuration ##################################################
fileName = '{image-path}'
writeDebugInfoOnImages = False
preprocessImageBeforeOCR = False
percentageOfAreaThreshold = 0.0030
resizeImagePercentage = 0.5
font = cv2.FONT_HERSHEY_COMPLEX
# Easy OCR language (either latin or cyrillic, cannot do both at the same time)
#ocrLanguage = 'rs_latin'
ocrLanguage = 'rs_cyrillic'
###############################################################################################
def nothing(x):
# dummy
pass
def listToString(s):
str1 = " "
return (str1.join(s))
def scale_contour(cnt, scale):
if scale == 1.0:
return cnt
M = cv2.moments(cnt)
cx = int(M['m10']/M['m00'])
cy = int(M['m01']/M['m00'])
cnt_norm = cnt - [cx, cy]
cnt_scaled = cnt_norm * scale
cnt_scaled = cnt_scaled + [cx, cy]
cnt_scaled = cnt_scaled.astype(numpy.int32)
return cnt_scaled
def areAllPointsInsideSeekBorderArea(approx, seekAreaBorderHorizontalY, seekAreaBorderHorizontalXStart, seekAreaBorderHorizontalXEnd):
result = True
n = approx.ravel()
i = 0
for j in n :
if(i % 2 == 0):
x = n[i]
y = n[i + 1]
if y < seekAreaBorderHorizontalY or x < seekAreaBorderHorizontalXStart or x > seekAreaBorderHorizontalXEnd:
result = False
break
i = i + 1
return result
def calculateMinMaxPoints(font, original_img_preview, original_img_previewHeight, original_img_previewWidth, approx):
#https://www.geeksforgeeks.org/find-co-ordinates-of-contours-using-opencv-python/
n = approx.ravel()
i = 0
ymin = original_img_previewHeight
ymax = 0
xmin = original_img_previewWidth
xmax = 0
for j in n :
if(i % 2 == 0):
x = n[i]
y = n[i + 1]
if y < ymin:
ymin = y
if y > ymax:
ymax = y
if x < xmin:
xmin = x
if x > xmax:
xmax = x
if writeDebugInfoOnImages:
textCoordinate = str(x) + " " + str(y)
cv2.putText(original_img_preview, textCoordinate, (x, y),
font, 0.5, (0, 0, 255))
i = i + 1
return ymin,ymax,xmin,xmax
def preprocessBeforeOCR(imageToProcess, invertColors):
imageToProcess = cv2.cvtColor(imageToProcess, cv2.COLOR_BGR2GRAY)
if invertColors:
imageToProcess = cv2.bitwise_not(imageToProcess)
dilated_img = cv2.dilate(imageToProcess, numpy.ones((7, 7), numpy.uint8))
bg_img = cv2.medianBlur(dilated_img, 17)
diff_img = 255 - cv2.absdiff(imageToProcess, bg_img)
imageToProcess = cv2.normalize(diff_img, None, alpha=0, beta=255,
norm_type=cv2.NORM_MINMAX, dtype=cv2.CV_8UC1)
imageToProcess = cv2.threshold(imageToProcess, 0, 255, cv2.THRESH_OTSU)[1]
return imageToProcess
# Start processing...
# Load model into the memory
reader = easyocr.Reader([ocrLanguage], gpu=False)
cv2.namedWindow("HSVTrackbarsGreen")
cv2.createTrackbar("Lower-H", "HSVTrackbarsGreen", 31, 180, nothing)
cv2.createTrackbar("Lower-S", "HSVTrackbarsGreen", 23, 255, nothing)
cv2.createTrackbar("Lower-V", "HSVTrackbarsGreen", 0, 255, nothing)
cv2.createTrackbar("Upper-H", "HSVTrackbarsGreen", 84, 180, nothing)
cv2.createTrackbar("Upper-S", "HSVTrackbarsGreen", 255, 255, nothing)
cv2.createTrackbar("Upper-V", "HSVTrackbarsGreen", 255, 255, nothing)
cv2.namedWindow("HSVTrackbarsBlue")
cv2.createTrackbar("Lower-H", "HSVTrackbarsBlue", 100, 180, nothing)
cv2.createTrackbar("Lower-S", "HSVTrackbarsBlue", 118, 255, nothing)
cv2.createTrackbar("Lower-V", "HSVTrackbarsBlue", 42, 255, nothing)
cv2.createTrackbar("Upper-H", "HSVTrackbarsBlue", 120, 180, nothing)
cv2.createTrackbar("Upper-S", "HSVTrackbarsBlue", 255, 255, nothing)
cv2.createTrackbar("Upper-V", "HSVTrackbarsBlue", 210, 255, nothing)
image = cv2.imread(fileName)
if image is None:
print('Failed to load image file:', fileName)
sys.exit(1)
hsvImage = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
while True:
# must be in the loop (reload empty image/frame)
original_img_preview = cv2.resize(image, (0, 0), fx=resizeImagePercentage, fy=resizeImagePercentage)
original_img_previewHeight, original_img_previewWidth, channels = original_img_preview.shape
seekAreaBorderHorizontalLineY = 2 * int(original_img_previewHeight/3)
seekAreaBorderHorizontalLineXStart = 0
seekAreaBorderHorizontalLineXEnd = original_img_previewWidth
seekAreaBorderLeftX = int(original_img_previewWidth/9.1)
seekAreaBorderLeftY = original_img_previewHeight
seekAreaBorderRightX = int(8.1 * int(original_img_previewWidth/9.1))
seekAreaBorderRightY = original_img_previewHeight
if writeDebugInfoOnImages:
cv2.line(original_img_preview, (seekAreaBorderHorizontalLineXStart, seekAreaBorderHorizontalLineY), (seekAreaBorderHorizontalLineXEnd, seekAreaBorderHorizontalLineY), (74, 153, 255), thickness=3)
cv2.line(original_img_preview, (seekAreaBorderLeftX, seekAreaBorderHorizontalLineY), (seekAreaBorderLeftX, seekAreaBorderLeftY), (74, 153, 255), thickness=3)
cv2.line(original_img_preview, (seekAreaBorderRightX, seekAreaBorderHorizontalLineY), (seekAreaBorderRightX, seekAreaBorderRightY), (74, 153, 255), thickness=3)
green_l_h = cv2.getTrackbarPos("Lower-H", "HSVTrackbarsGreen")
green_l_s = cv2.getTrackbarPos("Lower-S", "HSVTrackbarsGreen")
green_l_v = cv2.getTrackbarPos("Lower-V", "HSVTrackbarsGreen")
green_u_h = cv2.getTrackbarPos("Upper-H", "HSVTrackbarsGreen")
green_u_s = cv2.getTrackbarPos("Upper-S", "HSVTrackbarsGreen")
green_u_v = cv2.getTrackbarPos("Upper-V", "HSVTrackbarsGreen")
green_lower_hsv = numpy.array([green_l_h, green_l_s, green_l_v])
green_upper_hsv = numpy.array([green_u_h, green_u_s, green_u_v])
green_mask = cv2.inRange(hsvImage, green_lower_hsv, green_upper_hsv)
blue_l_h = cv2.getTrackbarPos("Lower-H", "HSVTrackbarsBlue")
blue_l_s = cv2.getTrackbarPos("Lower-S", "HSVTrackbarsBlue")
blue_l_v = cv2.getTrackbarPos("Lower-V", "HSVTrackbarsBlue")
blue_u_h = cv2.getTrackbarPos("Upper-H", "HSVTrackbarsBlue")
blue_u_s = cv2.getTrackbarPos("Upper-S", "HSVTrackbarsBlue")
blue_u_v = cv2.getTrackbarPos("Upper-V", "HSVTrackbarsBlue")
blue_lower_hsv = numpy.array([blue_l_h, blue_l_s, blue_l_v])
blue_upper_hsv = numpy.array([blue_u_h, blue_u_s, blue_u_v])
blue_mask = cv2.inRange(hsvImage, blue_lower_hsv, blue_upper_hsv)
# Erode green mask
kernelGreen = numpy.ones((5,5), numpy.uint8)
green_mask = cv2.erode(green_mask, kernelGreen)
# Erode blue mask
kernelBlue = numpy.ones((5,5), numpy.uint8)
blue_mask = cv2.erode(blue_mask, kernelBlue)
# if image is too big, scale it down for preview
green_mask_half = cv2.resize(green_mask, (0, 0), fx=resizeImagePercentage, fy=resizeImagePercentage)
blue_mask_half = cv2.resize(blue_mask, (0, 0), fx=resizeImagePercentage, fy=resizeImagePercentage)
# Errode green mask half
kernel_half_green = numpy.ones((2,2), numpy.uint8)
green_mask_half = cv2.erode(green_mask_half, kernel_half_green)
# Errode blue mask half
kernel_half_blue = numpy.ones((2,2), numpy.uint8)
blue_mask_half = cv2.erode(blue_mask_half, kernel_half_blue)
contoursInGreenMask, _ = cv2.findContours(green_mask_half, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
contoursInBlueMask, _ = cv2.findContours(blue_mask_half, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
totalPixels = original_img_previewHeight * original_img_previewWidth
areaThreashold = percentageOfAreaThreshold * totalPixels
maxGreenArea = 0
maxGreenAreaContour = None
maxGreenAreaContourApprox = None
green_ymin, green_ymax, green_xmin, green_xmax = None, None, None, None
for cnt in contoursInGreenMask:
area = cv2.contourArea(cnt)
approx = cv2.approxPolyDP(cnt, 0.02 * cv2.arcLength(cnt, True), True)
numberOfPoints = len(approx)
if area > maxGreenArea and numberOfPoints >= 4 and numberOfPoints <= 6 and area > areaThreashold and areAllPointsInsideSeekBorderArea(approx, seekAreaBorderHorizontalLineY, seekAreaBorderLeftX, seekAreaBorderRightX):
green_ymin, green_ymax, green_xmin, green_xmax = calculateMinMaxPoints(font, original_img_preview, original_img_previewHeight, original_img_previewWidth, approx)
maxGreenArea = area
maxGreenAreaContour = scale_contour(cnt, 1.01)
maxGreenAreaContourApprox = scale_contour(approx, 1.01)
if maxGreenArea > 0:
if writeDebugInfoOnImages:
cv2.drawContours(original_img_preview, [maxGreenAreaContourApprox], 0, (0, 102, 0), 2)
maxBlueArea = 0
maxBlueAreaContour = None
maxBlueAreaContourApprox = None
blue_ymin, blue_ymax, blue_xmin, blue_xmax = None, None, None, None
for cnt in contoursInBlueMask:
area = cv2.contourArea(cnt)
approx = cv2.approxPolyDP(cnt, 0.02 * cv2.arcLength(cnt, True), True)
numberOfPoints = len(approx)
if area > maxBlueArea and numberOfPoints >= 4 and numberOfPoints <= 6 and area > areaThreashold and area > 3 * maxGreenArea and areAllPointsInsideSeekBorderArea(approx, seekAreaBorderHorizontalLineY, seekAreaBorderLeftX, seekAreaBorderRightX):
blue_ymin, blue_ymax, blue_xmin, blue_xmax = calculateMinMaxPoints(font, original_img_preview, original_img_previewHeight, original_img_previewWidth, approx)
maxBlueArea = area
maxBlueAreaContour = scale_contour(cnt, 1.01)
maxBlueAreaContourApprox = scale_contour(approx, 1.01)
if maxBlueArea > 0:
if writeDebugInfoOnImages:
cv2.drawContours(original_img_preview, [maxBlueAreaContourApprox], 0, (255, 0, 0), 2)
cv2.imshow('green mask', green_mask_half)
cv2.imshow('blue mask', blue_mask_half)
cv2.imshow('Original preview', original_img_preview)
key = cv2.waitKey(1)
if key == 27: # ESC
break
if maxGreenArea > 0 and maxBlueArea > 0:
questionRectangleImage = original_img_preview[blue_ymin:blue_ymax, blue_xmin:blue_xmax]
answerRectangleImage = original_img_preview[green_ymin:green_ymax, green_xmin:green_xmax]
if preprocessImageBeforeOCR:
questionRectangleImage = preprocessBeforeOCR(questionRectangleImage, invertColors=True)
answerRectangleImage = preprocessBeforeOCR(answerRectangleImage, invertColors=False)
cv2.imwrite("results/%s-question.jpg" %fileName, questionRectangleImage)
ocrQuestionList = reader.readtext(questionRectangleImage, detail = 0, paragraph=True)
ocrQuestion = listToString(ocrQuestionList)
cv2.imwrite("results/%s-answer.jpg" %fileName, answerRectangleImage)
ocrAnswerList = reader.readtext(answerRectangleImage, detail = 0, paragraph=True)
ocrAnswer = listToString(ocrAnswerList)
print('Question: %s' %ocrQuestion)
print('Answer: %s' %ocrAnswer)
print('Success!')
else:
print('Error: Question/Answer not found!')
print('Done.')