neox/CNIRevelator
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Code Issues 2 Releases Wiki Activity

More enhancements for negative

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This commit is contained in:
Adrien Bourmault 2019-08-10 23:50:19 +02:00
parent 34625673a9
commit 9a7ab2e8ee
1 changed files with 11 additions and 10 deletions
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21
src/main.py
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@ -382,7 +382,9 @@ class mainWindow(Tk):
cv_img = cv2.imread(self.imageViewer.imagePath)
cv_img = cv2.cvtColor(cv_img, cv2.COLOR_BGR2RGB)
if self.imageViewer.blackhat:
self.negativeScan()
cv_img = cv2.cvtColor(cv_img, cv2.COLOR_BGR2GRAY)
cv_img = cv2.GaussianBlur(cv_img, (3, 3), 0)
cv_img = cv2.bitwise_not(cv_img)
if not self.imageViewer.blackhat:
# Get the image dimensions (OpenCV stores image data as NumPy ndarray)
height, width, channels_no = cv_img.shape
@ -405,20 +407,21 @@ class mainWindow(Tk):
x1 = int(self.corners[1][0])
y1 = int(self.corners[1][1])
# print("crop at {}:{}, {}:{}".format(x0,y0,x1,y1))
# print("real crop at {}:{}, {}:{}".format(x0+self.imageViewer.ZONE.winfo_height()/2, y0+self.imageViewer.ZONE.winfo_width()/2, x1+self.imageViewer.ZONE.winfo_height()/2, y1+self.imageViewer.ZONE.winfo_width()/2))
crop_img = cv_img[y0:y1, x0:x1]
cv2.imshow("image", crop_img)
# Get the text by OCR
try:
os.environ['PATH'] = globs.CNIRTesser
os.environ['TESSDATA_PREFIX'] = globs.CNIRTesser + '\\tessdata'
image = PIL.ImageTk.PhotoImage(image = PIL.Image.fromarray(crop_img))
text = pytesseract.image_to_string(crop_img, lang='ocrb', boxes=False, config='--psm 6 --oem 0 -c tessedit_char_whitelist=ABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890<')
# manual validation
# the regex
regex = re.compile("[^A-Z0-9<\n]")
text = re.sub(regex, '', text)
self.validatedtext = ''
invite = ihm.OpenScanDialog(self, text)
invite.transient(self)
@ -430,10 +433,6 @@ class mainWindow(Tk):
self.mrzChar = ""
# the regex
regex = re.compile("[^A-Z0-9<\n]")
self.validatedtext = re.sub(regex, '', self.validatedtext)
# Get that
for char in self.validatedtext:
self.termtext.delete("1.0","end")
@ -730,7 +729,9 @@ class mainWindow(Tk):
cv_img = cv2.imread(self.imageViewer.imagePath)
cv_img = cv2.cvtColor(cv_img, cv2.COLOR_BGR2RGB)
if self.imageViewer.blackhat:
self.negativeScan()
cv_img = cv2.cvtColor(cv_img, cv2.COLOR_BGR2GRAY)
cv_img = cv2.GaussianBlur(cv_img, (3, 3), 0)
cv_img = cv2.bitwise_not(cv_img)
if not self.imageViewer.blackhat:
# Get the image dimensions (OpenCV stores image data as NumPy ndarray)