From 576ad52a2dc81709b7c3bd7e5eb50e3e098c8e41 Mon Sep 17 00:00:00 2001 From: neox95 Date: Sun, 11 Aug 2019 16:26:06 +0200 Subject: [PATCH] Finished OCR detection --- src/OCR.png | Bin 0 -> 512 bytes src/main.py | 473 +++++++++++++++++++++++++++++----------------------- 2 files changed, 260 insertions(+), 213 deletions(-) create mode 100644 src/OCR.png diff --git a/src/OCR.png b/src/OCR.png new file mode 100644 index 0000000000000000000000000000000000000000..6fc81ea2a85b09cf9473673458392d76071a1f04 GIT binary patch literal 512 zcmV+b0{{JqP)5uyY|TnpQaZFMgKfo)>`MY=0Ogk~Me^N$x%2PyL4^wc4M9P>4d4jq00+P> z(9nAm;0<^I?tw>O@zWpM2Cg;vvf%mvZnSS{)PYN2<{=*gkzTRKW~MpnMT71EBM;dV z5ITH9z31{7X-*LxAn_2~B5NW5h92KUb34%o=0c`+&`sb17?6t01ove=2YT6{CnzQQ z1Y?)?l+~(Cfpcp=6nN%9*BG{dPr-Pc$<%ceQ(()o^9gRLW9@^wgVObgEW*BEH?ZuY z9M0F8{#Xaf@C2aJmP#F44h`I;PEf~SkXP!KG3?@3bXHtvncxXZa0YFGXMqy(3VK3t z*LCV^A3M_;@a*AmUMB;ofeguSAa@>Lv4I$Tr)9Q>", self.goPageChoice) + self.toolbar.pageChooser['values'] = ('1') + self.toolbar.pageChooser.current(0) + self.toolbar.pageChooser.grid(column=16, row=0) self.toolbar.grid(column=0, row=2, padx=0, pady=0) @@ -309,6 +320,8 @@ class mainWindow(Tk): menubar.add_cascade(label='Fichier', menu=menu1) menu3 = Menu(menubar, tearoff=0) menu3.add_command(label='Commandes au clavier', command=(self.helpbox)) + menu3.add_command(label='Signaler un problème', command=(self.openIssuePage)) + menu3.add_separator() menu3.add_command(label='A propos de CNIRevelator', command=(self.infobox)) menubar.add_cascade(label='Aide', menu=menu3) self.config(menu=menubar) @@ -335,22 +348,14 @@ class mainWindow(Tk): self.update() self.deiconify() self.minsize(self.winfo_width(), self.winfo_height()) - - # Load an image using OpenCV - cv_img = cv2.imread("background.png") - cv_img = cv2.cvtColor(cv_img, cv2.COLOR_BGR2GRAY) - cv_img = cv2.blur(cv_img, (15, 15)) - # Get the image dimensions (OpenCV stores image data as NumPy ndarray) - height, width = cv_img.shape - # Get the image dimensions (OpenCV stores image data as NumPy ndarray) - height, width = cv_img.shape - # Use PIL (Pillow) to convert the NumPy ndarray to a PhotoImage - photo = PIL.ImageTk.PhotoImage(image = PIL.Image.fromarray(cv_img)) - self.statusUpdate(photo, setplace=True) - self.imageViewer.imagePath = "background.png" + + # Set image + self.imageViewer.image = None + self.imageViewer.imagePath = None self.imageViewer.imgZoom = 1 self.imageViewer.rotateCount = 0 self.imageViewer.blackhat = False + self.imageViewer.pagenumber = 0 # Some bindings self.termtext.bind('', self.entryValidation) @@ -363,98 +368,100 @@ class mainWindow(Tk): def statusUpdate(self, image=None, setplace=False): if image: self.imageViewer.image = image - self.imageViewer.ZONE.itemconfigure(self.STATUSimg, image=(self.imageViewer.image)) - self.imageViewer.ZONE.configure(scrollregion=self.imageViewer.ZONE.bbox("all")) - - def rectangleSelectScan(self, event): - canvas = event.widget - print("Get coordinates : [{}, {}], for [{}, {}]".format(canvas.canvasx(event.x), canvas.canvasy(event.y), event.x, event.y)) + self.imageViewer.ZONE.itemconfigure(self.STATUSimg, image=(self.imageViewer.image)) + self.imageViewer.ZONE.configure(scrollregion=self.imageViewer.ZONE.bbox("all")) - self.corners.append([canvas.canvasx(event.x), canvas.canvasy(event.y)]) - if len(self.corners) == 2: - self.select = self.imageViewer.ZONE.create_rectangle(self.corners[0][0], self.corners[0][1], self.corners[1][0], self.corners[1][1], outline ='cyan', width = 2) - print("Get rectangle : [{}, {}], for [{}, {}]".format(self.corners[0][0], self.corners[0][1], self.corners[1][0], self.corners[1][1])) - if len(self.corners) > 2: - self.corners = [] - self.imageViewer.ZONE.delete(self.select) + def rectangleSelectScan(self, event): + if self.imageViewer.image: + canvas = event.widget + print("Get coordinates : [{}, {}], for [{}, {}]".format(canvas.canvasx(event.x), canvas.canvasy(event.y), event.x, event.y)) + + self.corners.append([canvas.canvasx(event.x), canvas.canvasy(event.y)]) + if len(self.corners) == 2: + self.select = self.imageViewer.ZONE.create_rectangle(self.corners[0][0], self.corners[0][1], self.corners[1][0], self.corners[1][1], outline ='cyan', width = 2) + print("Get rectangle : [{}, {}], for [{}, {}]".format(self.corners[0][0], self.corners[0][1], self.corners[1][0], self.corners[1][1])) + if len(self.corners) > 2: + self.corners = [] + self.imageViewer.ZONE.delete(self.select) def goOCRDetection(self): - cv_img = cv2.imread(self.imageViewer.imagePath) - cv_img = cv2.cvtColor(cv_img, cv2.COLOR_BGR2RGB) - if self.imageViewer.blackhat: - 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 - # Get the image dimensions (OpenCV stores image data as NumPy ndarray) - height, width, channels_no = cv_img.shape - else: - # Get the image dimensions (OpenCV stores image data as NumPy ndarray) - height, width = cv_img.shape - # Get the image dimensions (OpenCV stores image data as NumPy ndarray) - height, width = cv_img.shape - # Rotate - rotationMatrix=cv2.getRotationMatrix2D((width/2, height/2),int(self.imageViewer.rotateCount*90),1) - cv_img=cv2.warpAffine(cv_img,rotationMatrix,(width,height)) - # Resize - dim = (int(width * (self.imageViewer.imgZoom + 100) / 100), int(height * (self.imageViewer.imgZoom + 100) / 100)) - cv_img = cv2.resize(cv_img, dim, interpolation = cv2.INTER_AREA) - - x0 = int(self.corners[0][0]) - y0 = int(self.corners[0][1]) - x1 = int(self.corners[1][0]) - y1 = int(self.corners[1][1]) - - 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' - - 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) - invite.grab_set() - invite.focus_force() - self.wait_window(invite) - - print("text : {}".format(self.validatedtext)) - - self.mrzChar = "" - - # Get that - for char in self.validatedtext: - self.termtext.delete("1.0","end") - self.termtext.insert("1.0", self.mrzChar) - self.mrzChar = self.mrzChar + char - - self.stringValidation("") - print(self.mrzChar) - - # Reinstall tesseract - except pytesseract.TesseractNotFoundError as e: + if self.imageViewer.image: + cv_img = cv2.imreadmulti(self.imageViewer.imagePath)[1][self.imageViewer.pagenumber] + cv_img = cv2.cvtColor(cv_img, cv2.COLOR_BGR2RGB) + if self.imageViewer.blackhat: + 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) try: - shutil.rmtree(globs.CNIRTesser) - except Exception: - pass - showerror('Erreur de module OCR', ('Le module OCR localisé en ' + str(os.environ['PATH']) + 'est introuvable ou corrompu. Il sera réinstallé à la prochaine exécution'), parent=self) - logfile.printerr("Tesseract error : {}. Will be reinstallated".format(e)) - - # Tesseract error - except pytesseract.TesseractError as e: - logfile.printerr("Tesseract error : {}".format(e)) - showerror('Erreur de module OCR', ("Le module Tesseract a rencontré un problème : {}".format(e)), parent=self) + # Get the image dimensions (OpenCV stores image data as NumPy ndarray) + height, width, channels_no = cv_img.shape + # Get the image dimensions (OpenCV stores image data as NumPy ndarray) + height, width, channels_no = cv_img.shape + except ValueError: + # Get the image dimensions (OpenCV stores image data as NumPy ndarray) + height, width = cv_img.shape + # Get the image dimensions (OpenCV stores image data as NumPy ndarray) + height, width = cv_img.shape + # Rotate + rotationMatrix=cv2.getRotationMatrix2D((width/2, height/2),int(self.imageViewer.rotateCount*90),1) + cv_img=cv2.warpAffine(cv_img,rotationMatrix,(width,height)) + # Resize + dim = (int(width * (self.imageViewer.imgZoom + 100) / 100), int(height * (self.imageViewer.imgZoom + 100) / 100)) + cv_img = cv2.resize(cv_img, dim, interpolation = cv2.INTER_AREA) + + x0 = int(self.corners[0][0]) + y0 = int(self.corners[0][1]) + x1 = int(self.corners[1][0]) + y1 = int(self.corners[1][1]) + + 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' + + 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) + invite.grab_set() + invite.focus_force() + self.wait_window(invite) + + print("text : {}".format(self.validatedtext)) + + self.mrzChar = "" + + # Get that + for char in self.validatedtext: + self.termtext.delete("1.0","end") + self.termtext.insert("1.0", self.mrzChar) + self.mrzChar = self.mrzChar + char + + self.stringValidation("") + print(self.mrzChar) + + # Reinstall tesseract + except pytesseract.TesseractNotFoundError as e: + try: + shutil.rmtree(globs.CNIRTesser) + except Exception: + pass + showerror('Erreur de module OCR', ('Le module OCR localisé en ' + str(os.environ['PATH']) + 'est introuvable ou corrompu. Il sera réinstallé à la prochaine exécution'), parent=self) + logfile.printerr("Tesseract error : {}. Will be reinstallated".format(e)) + + # Tesseract error + except pytesseract.TesseractError as e: + logfile.printerr("Tesseract error : {}".format(e)) + showerror('Erreur de module OCR', ("Le module Tesseract a rencontré un problème : {}".format(e)), parent=self) def stringValidation(self, keysym): @@ -639,7 +646,10 @@ class mainWindow(Tk): self.speedResult.insert('end', text) self.speedResult['state'] = 'disabled' - + def goPageChoice(self, event): + self.imageViewer.pagenumber = int(self.toolbar.pageChooser.get()) - 1 + self.resizeScan() + def openingScan(self): path = '' path = filedialog.askopenfilename(parent=self, title='Ouvrir un scan de CNI...', filetypes=(('TIF files', '*.tif'), @@ -651,130 +661,160 @@ class mainWindow(Tk): self.imageViewer.imgZoom = 1 self.imageViewer.blackhat = False self.imageViewer.rotateCount = 0 - cv_img = cv2.imread(path) + self.imageViewer.pagenumber = 0 + + # Determine how many pages + self.toolbar.pageChooser['values'] = ('1') + total = len(cv2.imreadmulti(self.imageViewer.imagePath)[1]) + + for i in range(2, total + 1): + self.toolbar.pageChooser['values'] += tuple(str(i)) + + # Open the first page + cv_img = cv2.imreadmulti(self.imageViewer.imagePath)[1][self.imageViewer.pagenumber] cv_img = cv2.cvtColor(cv_img, cv2.COLOR_BGR2RGB) - # Get the image dimensions (OpenCV stores image data as NumPy ndarray) - height, width, channels_no = cv_img.shape - # Get the image dimensions (OpenCV stores image data as NumPy ndarray) - height, width, channels_no = cv_img.shape + + try: + # Get the image dimensions (OpenCV stores image data as NumPy ndarray) + height, width, channels_no = cv_img.shape + # Get the image dimensions (OpenCV stores image data as NumPy ndarray) + height, width, channels_no = cv_img.shape + except ValueError: + # Get the image dimensions (OpenCV stores image data as NumPy ndarray) + height, width = cv_img.shape + # Get the image dimensions (OpenCV stores image data as NumPy ndarray) + height, width = cv_img.shape + # Use PIL (Pillow) to convert the NumPy ndarray to a PhotoImage photo = PIL.ImageTk.PhotoImage(image = PIL.Image.fromarray(cv_img)) self.statusUpdate(photo) def zoomInScan50(self, quantity = 50): - self.imageViewer.imgZoom += quantity - self.resizeScan() + if self.imageViewer.image: + self.imageViewer.imgZoom += quantity + self.resizeScan() def zoomOutScan50(self, quantity = 50): - self.imageViewer.imgZoom -= quantity - self.resizeScan() + if self.imageViewer.image: + self.imageViewer.imgZoom -= quantity + self.resizeScan() def zoomInScan20(self, quantity = 20): - self.imageViewer.imgZoom += quantity - self.resizeScan() + if self.imageViewer.image: + self.imageViewer.imgZoom += quantity + self.resizeScan() def zoomOutScan20(self, quantity = 20): - self.imageViewer.imgZoom -= quantity - self.resizeScan() + if self.imageViewer.image: + self.imageViewer.imgZoom -= quantity + self.resizeScan() def zoomInScan(self, quantity = 1): - self.imageViewer.imgZoom += quantity - self.resizeScan() + if self.imageViewer.image: + self.imageViewer.imgZoom += quantity + self.resizeScan() def zoomOutScan(self, quantity = 1): - self.imageViewer.imgZoom -= quantity - self.resizeScan() + if self.imageViewer.image: + self.imageViewer.imgZoom -= quantity + self.resizeScan() def rotateRight(self): - self.imageViewer.rotateCount -= 1 - if self.imageViewer.rotateCount < 0: - self.imageViewer.rotateCount = 4 - self.resizeScan() + if self.imageViewer.image: + self.imageViewer.rotateCount -= 1 + if self.imageViewer.rotateCount < 0: + self.imageViewer.rotateCount = 4 + self.resizeScan() def rotateLeft(self): - self.imageViewer.rotateCount += 1 - if self.imageViewer.rotateCount > 4: - self.imageViewer.rotateCount = 0 - self.resizeScan() + if self.imageViewer.image: + self.imageViewer.rotateCount += 1 + if self.imageViewer.rotateCount > 4: + self.imageViewer.rotateCount = 0 + self.resizeScan() def rotateLeft1(self): - self.imageViewer.rotateCount += 0.01 - if self.imageViewer.rotateCount > 4: - self.imageViewer.rotateCount = 0 - self.resizeScan() + if self.imageViewer.image: + self.imageViewer.rotateCount += 0.01 + if self.imageViewer.rotateCount > 4: + self.imageViewer.rotateCount = 0 + self.resizeScan() def rotateRight1(self): - self.imageViewer.rotateCount -= 0.01 - if self.imageViewer.rotateCount < 0: - self.imageViewer.rotateCount = 4 - self.resizeScan() + if self.imageViewer.image: + self.imageViewer.rotateCount -= 0.01 + if self.imageViewer.rotateCount < 0: + self.imageViewer.rotateCount = 4 + self.resizeScan() def negativeScan(self): - # Load an image using OpenCV - cv_img = cv2.imread(self.imageViewer.imagePath) - cv_img = cv2.cvtColor(cv_img, cv2.COLOR_BGR2RGB) - if not self.imageViewer.blackhat: - self.imageViewer.blackhat = True - 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) - else: - self.imageViewer.blackhat = False - self.resizeScan(cv_img) + if self.imageViewer.image: + # Load an image using OpenCV + cv_img = cv2.imreadmulti(self.imageViewer.imagePath)[1][self.imageViewer.pagenumber] + cv_img = cv2.cvtColor(cv_img, cv2.COLOR_BGR2RGB) + if not self.imageViewer.blackhat: + self.imageViewer.blackhat = True + 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) + else: + self.imageViewer.blackhat = False + self.resizeScan(cv_img) def resizeScan(self, cv_img = None): - try: - if not hasattr(cv_img, 'shape'): - # Load an image using OpenCV - cv_img = cv2.imread(self.imageViewer.imagePath) - cv_img = cv2.cvtColor(cv_img, cv2.COLOR_BGR2RGB) - if self.imageViewer.blackhat: - 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 - # Get the image dimensions (OpenCV stores image data as NumPy ndarray) - height, width, channels_no = cv_img.shape - else: - # Get the image dimensions (OpenCV stores image data as NumPy ndarray) - height, width = cv_img.shape - # Get the image dimensions (OpenCV stores image data as NumPy ndarray) - height, width = cv_img.shape - # Rotate - rotationMatrix=cv2.getRotationMatrix2D((width/2, height/2),int(self.imageViewer.rotateCount*90),1) - cv_img=cv2.warpAffine(cv_img,rotationMatrix,(width,height)) - # Resize - dim = (int(width * (self.imageViewer.imgZoom + 100) / 100), int(height * (self.imageViewer.imgZoom + 100) / 100)) - cv_img = cv2.resize(cv_img, dim, interpolation = cv2.INTER_AREA) - # Use PIL (Pillow) to convert the NumPy ndarray to a PhotoImage - photo = PIL.ImageTk.PhotoImage(image = PIL.Image.fromarray(cv_img)) - self.statusUpdate( photo) - except Exception as e: - logfile.printerr("Error with opencv : {}".format(e)) - traceback.print_exc(file=sys.stdout) + if self.imageViewer.image: try: - # Reload an image using OpenCV - path = self.imageViewer.imagePath - self.imageViewer.imgZoom = 1 - self.imageViewer.blackhat = False - self.imageViewer.rotateCount = 0 - cv_img = cv2.imread(path) - cv_img = cv2.cvtColor(cv_img, cv2.COLOR_BGR2RGB) - # Get the image dimensions (OpenCV stores image data as NumPy ndarray) - height, width, channels_no = cv_img.shape - # Get the image dimensions (OpenCV stores image data as NumPy ndarray) - height, width, channels_no = cv_img.shape + if not hasattr(cv_img, 'shape'): + # Load an image using OpenCV + cv_img = cv2.imreadmulti(self.imageViewer.imagePath)[1][self.imageViewer.pagenumber] + cv_img = cv2.cvtColor(cv_img, cv2.COLOR_BGR2RGB) + if self.imageViewer.blackhat: + 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) + + try: + # Get the image dimensions (OpenCV stores image data as NumPy ndarray) + height, width, channels_no = cv_img.shape + # Get the image dimensions (OpenCV stores image data as NumPy ndarray) + height, width, channels_no = cv_img.shape + except ValueError: + # Get the image dimensions (OpenCV stores image data as NumPy ndarray) + height, width = cv_img.shape + # Get the image dimensions (OpenCV stores image data as NumPy ndarray) + height, width = cv_img.shape + # Rotate + rotationMatrix=cv2.getRotationMatrix2D((width/2, height/2),int(self.imageViewer.rotateCount*90),1) + cv_img=cv2.warpAffine(cv_img,rotationMatrix,(width,height)) + # Resize + dim = (int(width * (self.imageViewer.imgZoom + 100) / 100), int(height * (self.imageViewer.imgZoom + 100) / 100)) + cv_img = cv2.resize(cv_img, dim, interpolation = cv2.INTER_AREA) # Use PIL (Pillow) to convert the NumPy ndarray to a PhotoImage photo = PIL.ImageTk.PhotoImage(image = PIL.Image.fromarray(cv_img)) - self.statusUpdate(photo) + self.statusUpdate( photo) except Exception as e: - logfile.printerr("Critical error with opencv : ".format(e)) + logfile.printerr("Error with opencv : {}".format(e)) traceback.print_exc(file=sys.stdout) - showerror("Erreur OpenCV (traitement d'images)", "Une erreur critique s'est produite dans le gestionnaire de traitement d'images OpenCV utilisé par CNIRevelator. L'application va se réinitialiser") - self.initialize() + try: + # Reload an image using OpenCV + path = self.imageViewer.imagePath + self.imageViewer.imgZoom = 1 + self.imageViewer.blackhat = False + self.imageViewer.rotateCount = 0 + cv_img = cv2.imreadmulti(path) + cv_img = cv2.cvtColor(cv_img, cv2.COLOR_BGR2RGB) + # Get the image dimensions (OpenCV stores image data as NumPy ndarray) + height, width, channels_no = cv_img.shape + # Get the image dimensions (OpenCV stores image data as NumPy ndarray) + height, width, channels_no = cv_img.shape + # Use PIL (Pillow) to convert the NumPy ndarray to a PhotoImage + photo = PIL.ImageTk.PhotoImage(image = PIL.Image.fromarray(cv_img)) + self.statusUpdate(photo) + except Exception as e: + logfile.printerr("Critical error with opencv : ".format(e)) + traceback.print_exc(file=sys.stdout) + showerror("Erreur OpenCV (traitement d'images)", "Une erreur critique s'est produite dans le gestionnaire de traitement d'images OpenCV utilisé par CNIRevelator. L'application va se réinitialiser") + self.initialize() def newEntry(self): self.initialize() @@ -784,24 +824,25 @@ class mainWindow(Tk): Tk().withdraw() showinfo('A propos de CNIRevelator', - ( 'Version du logiciel : CNIRevelator ' + globs.verstring_full + '\n\n' + - "CNIRevelator est un logiciel libre : vous avez le droit de le modifier et/ou le distribuer " + - "dans les termes de la GNU General Public License telle que publiée par " + - "la Free Software Foundation, dans sa version 3 ou " + - "ultérieure. " + "\n\n" + - "CNIRevelator est distribué dans l'espoir d'être utile, sans toutefois " + - "impliquer une quelconque garantie de " + - "QUALITÉ MARCHANDE ou APTITUDE À UN USAGE PARTICULIER. Référez vous à la " + - "GNU General Public License pour plus de détails à ce sujet. " + - "\n\n" + - "Vous devriez avoir reçu une copie de la GNU General Public License " + - "avec CNIRevelator. Si cela n'est pas le cas, jetez un oeil à '. " + - "\n\n" + - "Le module d'OCR Tesseract 4.0 est soumis à l'Apache License 2004" + - "\n\n" + - "Les bibliothèques python et l'environnement Anaconda 3 sont soumis à la licence BSD 2018-2019" + - "\n\n" + - "Le code source de ce programme est disponible sur Github à l'adresse .\n" + + ( 'Version du logiciel : CNIRevelator ' + globs.verstring_full + '\n\n' + "Le fonctionnement de ce logiciel est conforme aux normes du document 9303 de l'OACI régissant les documents de voyages et d'identité" + '\n\n' + "CNIRevelator est un logiciel libre : vous avez le droit de le modifier et/ou le distribuer " + "dans les termes de la GNU General Public License telle que publiée par " + "la Free Software Foundation, dans sa version 3 ou " + "ultérieure. " + "\n\n" + "CNIRevelator est distribué dans l'espoir d'être utile, sans toutefois " + "impliquer une quelconque garantie de " + "QUALITÉ MARCHANDE ou APTITUDE À UN USAGE PARTICULIER. Référez vous à la " + "GNU General Public License pour plus de détails à ce sujet. " + "\n\n" + "Vous devriez avoir reçu une copie de la GNU General Public License " + "avec CNIRevelator. Si cela n'est pas le cas, jetez un oeil à '. " + "\n\n" + "Le module d'OCR Tesseract 4.0 est soumis à l'Apache License 2004" + "\n\n" + "Les bibliothèques python et l'environnement Anaconda 3 sont soumis à la licence BSD 2018-2019" + "\n\n" + "Le code source de ce programme est disponible sur Github à l'adresse .\n" " En cas de problèmes ou demande particulière, ouvrez-y une issue ou bien envoyez un mail à neox@os-k.eu !" ), @@ -827,6 +868,12 @@ class mainWindow(Tk): ), parent=self) + + def openIssuePage(self): + self.openBrowser("https://github.com/neox95/CNIRevelator/issues") + + def openBrowser(self, url): + webbrowser.open_new(url) def computeSigma(self): """