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@ -27,7 +27,7 @@ import os
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# CNIRevelator version
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verType = "final release"
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version = [3, 1, 3]
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version = [3, 1, 4]
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verstring_full = "{}.{}.{} {}".format(version[0], version[1], version[2], verType)
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verstring = "{}.{}".format(version[0], version[1])
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@ -141,7 +141,8 @@ french = \
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"Coller :\t\t\t\tCtrl-V \n"
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"Forcer une nouvelle détection du document :\tEchap\n",
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"CHANGELOG" : "Version 3.1.3 \nMise-à-jour mineure avec les progressions suivantes :\n- Correction d'un bug de la détection automatique de documents\n- Ajout d'une fonctionnalité de rapport d'erreur\n\n" + \
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"CHANGELOG" : "Version 3.1.4 \nMise-à-jour mineure avec les progressions suivantes :\n- Correction d'un bug affectant la rotation de documents dans l'afficheur d'images\n\n" + \
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"Version 3.1.3 \nMise-à-jour mineure avec les progressions suivantes :\n- Correction d'un bug de la détection automatique de documents\n- Ajout d'une fonctionnalité de rapport d'erreur\n\n" + \
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"Version 3.1.2 \nMise-à-jour mineure avec les progressions suivantes :\n- Montée de version de Tesseract OCR : 5.0\n- Correction de noms des documents\n- Résolution d'un problème avec le système de mise-à-jour\n- Amélioration des effets sur images\n\n" + \
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"Version 3.1.1 \nMise-à-jour mineure avec les progressions suivantes :\n- Correction d'un bug sévère du système de mise à jour\n\n" + \
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"Version 3.1.0 \nMise-à-jour majeure avec les progressions suivantes :\n- Modifications cosmétiques de l'interface utilisateur\n- Stabilisation des changements effectués sur la version mineure 3.0 : interface utilisateur, OCR, VISA A et B, logging\n- Rationalisation du système de langues\n- Ajout des canaux de mise-à-jour\n\n" + \
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@ -846,7 +847,8 @@ english = \
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"Paste:\t\t\t\tCtrl-V\n"
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"Force a new document detection:\tEchap\n",
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"CHANGELOG" : "Version 3.1.3 \nMinor update with the following progressions:\n- Correction of a bug affecting automated document detection\n- Added bug reporting functionnality\n\n" + \
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"CHANGELOG" : "Version 3.1.4 \nMinor update with the following progressions:\n- Correction of a bug affecting rotation of document in image viewer\n\n" + \
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"Version 3.1.3 \nMinor update with the following progressions:\n- Correction of a bug affecting automated document detection\n- Added bug reporting functionnality\n\n" + \
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"Version 3.1.2 \nMinor update with the following progressions: \n- Tesseract OCR version upgrade : 5.0\n- Correction of document names\n- Fixed a problem with the update system\n- Some enhancements about effects on images\n\n" + \
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"Version 3.1.1 \nMinor update with the following progressions: \n- Fixed a severe bug in the update system\n\n" + \
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"Version 3.1.0 \nMajor update with the following progressions: \n- Cosmetic modifications of the user interface \n- Stabilization of the changes made on the minor version 3.0 : user interface, OCR, VISA A and B, logging\n- Rationalization of the language system\n- Added update channels\n\n" + \
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41
src/main.py
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src/main.py
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@ -40,6 +40,7 @@ import PIL.Image, PIL.ImageTk
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import os, shutil
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import webbrowser
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import sys, os
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import numpy
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import critical # critical.py
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import ihm # ihm.py
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@ -370,7 +371,7 @@ class mainWindow(Tk):
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self.geometry('%dx%d+%d+%d' % (self.w, self.h, self.x, self.y))
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self.update()
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self.deiconify()
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self.attributes("-topmost", 1)
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#self.attributes("-topmost", 1)
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self.maxsize(self.w, self.h)
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self.minsize(int(2.15 * (self.ws / 2 * 0.3333333333333333)), self.h)
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self.currentw = self.w
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@ -426,6 +427,7 @@ class mainWindow(Tk):
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elif self.imageViewer.blackhat == 2:
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cv_img = cv2.cvtColor(cv_img, cv2.COLOR_BGR2GRAY)
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cv_img = cv2.medianBlur(cv_img, 3)
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try:
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# Get the image dimensions (OpenCV stores image data as NumPy ndarray)
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height, width, channels_no = cv_img.shape
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@ -436,9 +438,9 @@ class mainWindow(Tk):
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height, width = cv_img.shape
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# Get the image dimensions (OpenCV stores image data as NumPy ndarray)
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height, width = cv_img.shape
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# Rotate
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rotationMatrix=cv2.getRotationMatrix2D((width/2, height/2),int(self.imageViewer.rotateCount*90),1)
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cv_img=cv2.warpAffine(cv_img,rotationMatrix,(width,height))
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cv_img, width, height = self.rotateBound(cv_img, int(self.imageViewer.rotateCount*90))
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# Resize
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dim = (int(width * (self.imageViewer.imgZoom + 100) / 100), int(height * (self.imageViewer.imgZoom + 100) / 100))
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cv_img = cv2.resize(cv_img, dim, interpolation = cv2.INTER_AREA)
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@ -932,6 +934,32 @@ class mainWindow(Tk):
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self.imageViewer.blackhat = 0
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self.resizeScan(cv_img)
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def rotateBound(self, image, angle):
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"""
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Computes the rotation matrix and the new shapes in order to rotate an image
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"""
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# grab the dimensions of the image and then determine the
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# center
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(h, w) = image.shape[:2]
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(cX, cY) = (w // 2, h // 2)
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# grab the rotation matrix , then grab the sine and cosine
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# (i.e., the rotation components of the matrix)
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M = cv2.getRotationMatrix2D((cX, cY), angle, 1.0)
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cos = numpy.abs(M[0, 0])
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sin = numpy.abs(M[0, 1])
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# compute the new bounding dimensions of the image
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nW = int((h * sin) + (w * cos))
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nH = int((h * cos) + (w * sin))
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# adjust the rotation matrix to take into account translation
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M[0, 2] += (nW / 2) - cX
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M[1, 2] += (nH / 2) - cY
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# perform the actual rotation and return the image
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return cv2.warpAffine(image, M, (nW, nH)), nW, nH
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def resizeScan(self, cv_img = None):
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"""
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Reloads the image according to settings
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@ -948,7 +976,7 @@ class mainWindow(Tk):
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elif self.imageViewer.blackhat == 2:
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cv_img = cv2.cvtColor(cv_img, cv2.COLOR_BGR2GRAY)
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cv_img = cv2.medianBlur(cv_img, 3)
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try:
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# Get the image dimensions (OpenCV stores image data as NumPy ndarray)
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height, width, channels_no = cv_img.shape
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@ -959,12 +987,13 @@ class mainWindow(Tk):
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height, width = cv_img.shape
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# Get the image dimensions (OpenCV stores image data as NumPy ndarray)
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height, width = cv_img.shape
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# Rotate
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rotationMatrix=cv2.getRotationMatrix2D((width/2, height/2),int(self.imageViewer.rotateCount*90),1)
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cv_img=cv2.warpAffine(cv_img,rotationMatrix,(width,height))
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cv_img, width, height = self.rotateBound(cv_img, int(self.imageViewer.rotateCount*90))
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# Resize
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dim = (int(width * (self.imageViewer.imgZoom + 100) / 100), int(height * (self.imageViewer.imgZoom + 100) / 100))
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cv_img = cv2.resize(cv_img, dim, interpolation = cv2.INTER_AREA)
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# Use PIL (Pillow) to convert the NumPy ndarray to a PhotoImage
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photo = PIL.ImageTk.PhotoImage(image = PIL.Image.fromarray(cv_img))
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self.DisplayUpdate( photo)
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@ -332,7 +332,7 @@ def umain():
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if len(sys.argv) > 2 and str(sys.argv[1]) == "DELETE":
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globs.CNIRNewVersion = True
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launcherWindow.printmsg(lang.all[globs.CNIRlang]["Deleting old version"])
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logfile.printdbg("Old install detected : {}".format(sys.argv[1]))
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logfile.printdbg("Old install detected : {}".format(sys.argv[2]))
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while os.path.exists(str(sys.argv[2])):
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try:
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shutil.rmtree(str(sys.argv[2]))
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@ -359,7 +359,7 @@ def umain():
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# check we want open a file
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elif len(sys.argv) > 1 and str(sys.argv[1]) != "DELETE":
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globs.CNIROpenFile = True
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print(sys.argv)
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logfile.printdbg("Command line received : {}".format(sys.argv))
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try:
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try:
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except:
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critical.crashCNIR()
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launcherWindow.exit()
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sys.exit(2)
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exitProcess(2)
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return 2
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time.sleep(2)
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@ -6,8 +6,8 @@ VSVersionInfo(
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ffi=FixedFileInfo(
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# filevers and prodvers should be always a tuple with four items: (1, 2, 3, 4)
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# Set not needed items to zero 0.
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filevers=(3, 1, 3, 0),
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prodvers=(3, 1, 3, 0),
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filevers=(3, 1, 4, 0),
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prodvers=(3, 1, 4, 0),
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# Contains a bitmask that specifies the valid bits 'flags'r
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mask=0x3f,
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# Contains a bitmask that specifies the Boolean attributes of the file.
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u'040904B0',
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[StringStruct(u'CompanyName', u'Adrien Bourmault (neox95)'),
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StringStruct(u'FileDescription', u'This file is part of CNIRevelator.'),
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StringStruct(u'FileVersion', u'3.1.3'),
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StringStruct(u'FileVersion', u'3.1.4'),
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StringStruct(u'InternalName', u'CNIRevelator'),
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StringStruct(u'LegalCopyright', u'Copyright (c) Adrien Bourmault (neox95)'),
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StringStruct(u'OriginalFilename', u'CNIRevelator.exe'),
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StringStruct(u'ProductName', u'CNIRevelator 3'),
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StringStruct(u'ProductVersion', u'3.1.3')])
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StringStruct(u'ProductName', u'CNIRevelator 3.1'),
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StringStruct(u'ProductVersion', u'3.1.4')])
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]),
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VarFileInfo([VarStruct(u'Translation', [1033, 1200])])
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]
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