class TextExtractor:
def __init__(self, image_path, seg_mode=PSM.SPARSE_TEXT):
self.api = PyTessBaseAPI()
self.api.SetPageSegMode(seg_mode)
self.api.SetImageFile(image_path)
def __enter__(self):
return self
def __exit__(self, exc_type, exc_val, exc_tb):
self.close()
def _extract(self) -> Tuple:
text = self.api.GetUTF8Text()
conf = self.api.MeanTextConf()
return text, conf
def _extract_from_rect(self, x, y, w, h) -> Tuple:
self.api.SetRectangle(x, y, w, h)
return self._extract()
#TODO: Add support of zero values
def extract(self, x=None, y=None, w=None, h=None) -> Tuple:
if all([x, y, w, h]):
return self._extract_from_rect(x, y, w, h)
else:
return self._extract()
def close(self):
self.api.End()
def add_ocrinfo(tree, imgfile):
imgpil = Image.open(imgfile)
(orig_width, orig_height) = (imgpil.width, imgpil.height)
#root_width = tree[min(tree)]['width']
ratio = 1.0 * orig_width / config.width
#imgpil = imgpil.convert("RGB").resize(
# (orig_width * OCR_RATIO, orig_height * OCR_RATIO))
tesapi = PyTessBaseAPI(lang='eng')
tesapi.SetImage(imgpil)
tesapi.SetSourceResolution(config.ocr_resolution)
for nodeid in tree:
node = tree[nodeid]
if node['children'] and node['text'] == '':
node['ocr'] = ''
continue
x = max(node['x'] * ratio - 1, 0)
y = max(node['y'] * ratio - 1, 0)
x2 = min((node['x'] + node['width']) * ratio + 1, orig_width)
y2 = min((node['y'] + node['height']) * ratio + 1, orig_height)
width = int(x2 - x)
height = int(y2 - y)
if width > 3 and height > 3:
#tesapi.SetRectangle(int(x * OCR_RATIO), int(y * OCR_RATIO),
# int(width * OCR_RATIO), int(height * OCR_RATIO))
#print(int(x), int(y), int(width), int(height), orig_width, orig_height)
tesapi.SetRectangle(int(x), int(y), int(width), int(height))
ocr_text = tesapi.GetUTF8Text().strip().replace('\n', ' ')
if ocr_text.strip() == '':
x = min(x + width * 0.05, orig_width)
y = min(y + height * 0.05, orig_height)
width *= 0.9
height *= 0.9
tesapi.SetRectangle(int(x), int(y), int(width), int(height))
ocr_text = tesapi.GetUTF8Text().strip().replace('\n', ' ')
else:
ocr_text = ''
node['ocr'] = ocr_text
def preprocess_title(filename):
title = ''
api = PyTessBaseAPI()
api.SetImageFile(filename)
boxes = api.GetComponentImages(RIL.TEXTLINE, True)
for i, (im, box, _, _) in enumerate(boxes):
api.SetRectangle(box['x'], box['y'], box['w'], box['h'])
ocrResult = api.GetUTF8Text()
text = ' '.join(alpha_re.findall(ocrResult.strip()))
if len(text) < 5:
continue
title = text
break
if title:
logger.info("%s: %s", filename, title)
return title
class TesseractOCR:
#private static TESSERACT_ENGINE_MODE = TessAPI1.TessOcrEngineMode.OEM_DEFAULT
#
# bpp - bits per pixel, represents the bit depth of the image, with 1 for
# binary bitmap, 8 for gray, and 24 for color RGB.
#
BBP = 8
DEFAULT_CONFIDENT_THRESHOLD = 60.0
MINIMUM_DESKEW_THRESHOLD = 0.05
def __init__(self, rgbaImage, dipCalculator, language):
self.mRgbaImage = rgbaImage
self.mDipCalculator = dipCalculator
self.mHandle = PyTessBaseAPI()
self.mOcrTextWrappers = []
self.mOcrBlockWrappers = []
self.mOcrLineWrappers = []
self.raWrappers = []
# self.mLanguage = language
self.mBufferedImageRgbaImage = Image.fromarray(self.mRgbaImage)
self.initOCR()
def baseInit(self, iteratorLevel):
width = 0
height = 0
channels = 1
if len(self.mRgbaImage.shape) == 2:
height, width = self.mRgbaImage.shape
else:
height, width, channels = self.mRgbaImage.shape
return self.baseInitIter(self.mRgbaImage, Rect(0, 0, width, height),
channels, iteratorLevel)
def baseInitIter(self, imageMat, rect, channels, iteratorLevel):
listdata = []
parentX = rect.x
parentY = rect.y
# subMat = imageMat[rect.y:rect.y+rect.height, rect.x:rect.width+rect.x]
#
# if(channels != 1):
# subMat = imageMat[rect.y:rect.y+rect.height, rect.x:rect.width+rect.x, 0:channels]
#tessAPI = PyTessBaseAPI()
#Convert to PIL image
imgPIL = Image.fromarray(imageMat)
self.mHandle.SetImage(imgPIL)
boxes = self.mHandle.GetComponentImages(iteratorLevel, True)
for i, (im, box, _, _) in enumerate(boxes):
wrapper = OCRTextWrapper.OCRTextWrapper()
self.mHandle.SetRectangle(box['x'], box['y'], box['w'], box['h'])
ocrResult = self.mHandle.GetUTF8Text()
wrapper.text = ocrResult
conf = self.mHandle.MeanTextConf()
wrapper.confidence = conf
self.mHandle.Recognize()
iterator = self.mHandle.GetIterator()
fontAttribute = iterator.WordFontAttributes()
wrapper.x = box['x'] + parentX
wrapper.y = box['y'] + parentY
wrapper.width = box['w']
wrapper.height = box['h']
wrapper.rect = Rect(wrapper.x, wrapper.y, wrapper.width,
wrapper.height)
# print(box)
#
if (fontAttribute != None):
wrapper.fontName = fontAttribute['font_name']
wrapper.bold = fontAttribute['bold']
wrapper.italic = fontAttribute['italic']
wrapper.underlined = fontAttribute['underlined']
wrapper.monospace = fontAttribute['monospace']
wrapper.serif = fontAttribute['serif']
wrapper.smallcaps = fontAttribute['smallcaps']
wrapper.fontSize = fontAttribute['pointsize']
wrapper.fontId = fontAttribute['font_id']
listdata.append(wrapper)
return listdata
def getBlockWithLocation(self, rect):
wrappers = []
for ocrTextWrapper in self.mOcrBlockWrappers:
bound = ocrTextWrapper.rect
if (RectUtil.contains(rect, bound)):
wrappers.append(OCRTextWrapper.OCRTextWrapper(ocrTextWrapper))
return wrappers
def getImage(self, rect):
x2 = rect.x + rect.width
y2 = rect.y + rect.height
mat = self.mRgbaImage[rect.y:y2, rect.x:x2]
return Image.fromarray(mat)
def getText(self, rect):
try:
self.mHandle.SetImage(self.mBufferedImageRgbaImage)
self.mHandle.SetRectangle(rect.x, rect.y, rect.width, rect.height)
text = self.mHandle.GetUTF8Text()
return text
except Exception as error:
print('Caught this error: ' + repr(error))
return ""
def getLineText(self, rect):
try:
self.mHandle.SetImage(self.mBufferedImageRgbaImage)
self.mHandle.SetRectangle(rect.x, rect.y, rect.width, rect.height)
text = self.mHandle.GetUTF8Text()
if (TextUtils.isEmpty(text)):
self.mHandle = PyTessBaseAPI(psm=PSM.SINGLE_LINE)
self.mHandle.SetImage(self.mBufferedImageRgbaImage)
self.mHandle.SetRectangle(rect.x, rect.y, rect.width,
rect.height)
text = self.mHandle.GetUTF8Text()
if (TextUtils.isEmpty(text)):
self.mHandle.SetImage(self.getImage(rect))
text = self.mHandle.GetUTF8Text()
self.mHandle = PyTessBaseAPI(psm=PSM.AUTO)
return text
except Exception as error:
print('Caught this error: ' + repr(error))
return ""
def getRectWordForLowConfidence(self, ocr):
try:
rect = ocr.bound()
self.mHandle = PyTessBaseAPI(psm=PSM.SINGLE_WORD)
self.mHandle.SetImage(self.mBufferedImageRgbaImage)
self.mHandle.SetRectangle(rect.x, rect.y, rect.width, rect.height)
ocr.text = self.mHandle.GetUTF8Text()
ocr.confidence = self.mHandle.MeanTextConf()
if (ocr.confidence <= Constants.TEXT_CONFIDENT_THRESHOLD):
self.mHandle.SetImage(self.getImage(rect))
ocr.text = self.mHandle.GetUTF8Text()
ocr.confidence = self.mHandle.MeanTextConf()
if (ocr.confidence <= Constants.TEXT_CONFIDENT_THRESHOLD):
return False
self.mHandle.Recognize()
iterator = self.mHandle.GetIterator()
fontAttribute = iterator.WordFontAttributes()
if (fontAttribute != None):
ocr.fontName = fontAttribute['font_name']
ocr.bold = fontAttribute['bold']
ocr.italic = fontAttribute['italic']
ocr.underlined = fontAttribute['underlined']
ocr.monospace = fontAttribute['monospace']
ocr.serif = fontAttribute['serif']
ocr.smallcaps = fontAttribute['smallcaps']
ocr.fontSize = fontAttribute['pointsize']
ocr.fontId = fontAttribute['font_id']
# ocr.fontsize = self.getPreferenceFontSize(ocr)
self.mHandle = PyTessBaseAPI(psm=PSM.AUTO)
return True
except Exception as error:
print('Caught this error: ' + repr(error))
return False
def getWordsIn(self, rect):
wrappers = []
for ocrTextWrapper in self.mOcrTextWrappers:
bound = ocrTextWrapper.bound()
if (RectUtil.contains(rect, bound)):
wrappers.append(OCRTextWrapper.OCRTextWrapper(ocrTextWrapper))
return wrappers
def initOCR(self):
#
self.initText()
self.initBlock()
# self.initPara()
self.initLine()
#
def initBlock(self):
self.mOcrBlockWrappers = self.baseInit(RIL.BLOCK)
def initLine(self):
self.mOcrLineWrappers = self.baseInit(RIL.TEXTLINE)
invalidLineWrappers = []
# a line cannot contain another lines
for ocrLine in self.mOcrLineWrappers:
for otherOcrLine in self.mOcrLineWrappers:
if (ocrLine != otherOcrLine and RectUtil.contains(
ocrLine.bound(), otherOcrLine.bound())):
invalidLineWrappers.append(ocrLine)
self.mOcrLineWrappers = [
x for x in self.mOcrLineWrappers if x not in invalidLineWrappers
]
def initPara(self):
self.mOcrParaWrappers = self.baseInit(RIL.PARA)
def initText(self):
self.mOcrTextWrappers = self.baseInit(RIL.WORD)
def isOverlapText(self, rect, confident):
for ocrTextWrapper in self.mOcrTextWrappers:
bound = ocrTextWrapper.bound()
if (ocrTextWrapper.getConfidence() >= confident
and RectUtil.intersects(rect, bound)):
return True
return False
def reset(self):
self.mOcrTextWrappers = []
self.mOcrLineWrappers = []
self.initOCR()
# def rotateImage(bi) :
# iden = ImageDeskew(bi)
# imageSkewAngle = iden.getSkewAngle() # determine skew angle
# if imageSkewAngle > MINIMUM_DESKEW_THRESHOLD or imageSkewAngle < -MINIMUM_DESKEW_THRESHOLD :
# bi = ImageHelper.rotateImage(bi, -imageSkewAngle) # deskew
# return bi
def getPreferenceFontSize(self, ocrTextWrapper, parentHeight):
# TODO TODO
fontName = ocrTextWrapper.fontName
fontSize = ocrTextWrapper.fontSize
height = ocrTextWrapper.height * Constants.TEXT_BOX_AND_TEXT_HEIGHT_RATIO
# height = ocrTextWrapper.height
textHeight = int(
self.mDipCalculator.pxToHeightDip(min(parentHeight, height)))
# font = QFont(fontName, fontSize)
newFontSize = fontSize
if (self.getTextHeightUsingFontMetrics(ocrTextWrapper, fontName,
fontSize) == textHeight):
newFontSize = fontSize
elif (self.getTextHeightUsingFontMetrics(ocrTextWrapper, fontName,
fontSize) < textHeight):
while (self.getTextHeightUsingFontMetrics(ocrTextWrapper, fontName,
fontSize) < textHeight):
fontSize = fontSize + 1
newFontSize = fontSize
else:
while (self.getTextHeightUsingFontMetrics(ocrTextWrapper, fontName,
fontSize) > textHeight):
fontSize = fontSize - 1
newFontSize = fontSize
return newFontSize
def getTextHeightUsingFontMetrics(self, ocrTextWrapper, fontName,
fontSize):
# class SIZE(ctypes.Structure):
# _fields_ = [("cx", ctypes.c_long), ("cy", ctypes.c_long)]
# hdc = ctypes.windll.user32.GetDC(0)
# hfont = ctypes.windll.gdi32.CreateFontA(-fontSize, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, fontName)
# hfont_old = ctypes.windll.gdi32.SelectObject(hdc, hfont)
# size = SIZE(0, 0)
# ctypes.windll.gdi32.GetTextExtentPoint32A(hdc, text, len(text), ctypes.byref(size))
# ctypes.windll.gdi32.SelectObject(hdc, hfont_old)
# ctypes.windll.gdi32.DeleteObject(hfont)
# return size.cy
file = "fonts//" + fontName + ".ttf"
font = ImageFont.truetype(file, fontSize)
fontSize = font.getsize(ocrTextWrapper.text)
return fontSize[1]
def validCharacter(self, word):
return self.mHandle.IsValidCharacter(word)
#Don't have this method return TessAPI1.TessBaseAPIIsValidWord(mHandle, word) != 0
# return True
#TODO
# def getTextHeightUsingTextLayout(self,ocrTextWrapper, font) :
# frc = self.mGraphics.getFontRenderContext()
# loc = Point(0, 0)
# layout = TextLayout(ocrTextWrapper.text, font, frc)
# layout.draw(self.mGraphics, float(loc.x, loc.y))
# bounds = layout.getBounds()
# height = bounds.getHeight()
# return height
# def isValidTextUsingConfidentAndBoundaryCheck(self, ocrTextWrapper) :
# if (ocrTextWrapper.getConfidence() > Constants.TEXT_CONFIDENT_THRESHOLD + Constants.TEXT_CONFIDENT_THRESHOLD_SECONDARY_RANGE) :
# return True
#
# elif (ocrTextWrapper.getConfidence() <= Constants.TEXT_CONFIDENT_THRESHOLD) :
# return False
#
# return self.isValidTextUsingBoundaryCheck(ocrTextWrapper)
#
#
def getTextDimensions(self, text, fontName, fontSize):
file = "fonts//" + fontName + ".ttf"
try:
font = ImageFont.truetype(file, fontSize)
fontSize = font.getsize(text)
return fontSize
except OSError:
print(file)
def isValidTextUsingBoundaryCheck(self, ocrTextWrapper):
# confident between TextProcessor.TEXT_CONFIDENT_THRESHOLD and
# TextProcessor.TEXT_CONFIDENT_THRESHOLD +
# TextProcessor.TEXT_CONFIDENT_THRESHOLD_SECONDARY_RANGE
if (TextUtils.isEmpty(ocrTextWrapper.text)):
# We cannot calculate width of empty text
return True
# return True
# frc = mGraphics.getFontRenderContext()
# font = QFont(ocrTextWrapper.fontName,ocrTextWrapper.fontSize)
# loc = Point(0, 0)
# layout = TextLayout(ocrTextWrapper.text,font, frc)
# layout.draw(mGraphics, loc.getX(), loc.getY())
# bound = layout.getBounds()
width, height = self.getTextDimensions(ocrTextWrapper.text,
ocrTextWrapper.fontName,
ocrTextWrapper.fontSize)
fontRatio = float(height / width)
boundRatio = float(ocrTextWrapper.height / ocrTextWrapper.width)
fontArea = self.mDipCalculator.dipToHeightPx(
height) * self.mDipCalculator.dipToWidthPx(width)
boundArea = float(ocrTextWrapper.width * ocrTextWrapper.height)
#
# the different between dimensions of the text should be smaller than
# 10% of the max dimension.
# System.out.prln(" Ratio: " + fontRatio + ", " + boundRatio + ", "
# + Math.abs(boundRatio - fontRatio)
# / Math.max(boundRatio, fontRatio) + "," + fontArea + ", "
# + boundArea + ", " + Math.min(fontArea, boundArea)
# / Math.max(fontArea, boundArea))
# It the bound is square, it less likely that this text is correct
# TODO: This rule may not need it
# if (float(min(ocrTextWrapper.getWidth(),ocrTextWrapper.getHeight()) / max( ocrTextWrapper.getWidth(),
# ocrTextWrapper.getHeight())) > 0.95) :
# # if drawing text cannot create square, sorry -> invalid
# if (float(min(width, height) / max(width, height)) <= 0.95 and not validWord(ocrTextWrapper.text)) :
# return False
#
#
#
# print(self.mDipCalculator.dipToWidthPx(width), self.mDipCalculator.dipToHeightPx(height))
# print( ocrTextWrapper.width, ocrTextWrapper.height)
dimension = abs(boundRatio - fontRatio) / max(boundRatio, fontRatio)
# print(dimension)
dimensionCheck = abs(boundRatio - fontRatio) / max(
boundRatio, fontRatio
) <= Constants.TEXT_CONFIDENT_ACCEPTANCE_DIMENSION_RATIO_DIFFERENCE_THRESHOLD
areaCheckVal = min(fontArea, boundArea) / max(fontArea, boundArea)
# print(areaCheckVal)
# print(ocrTextWrapper.text)
areaCheck = min(fontArea, boundArea) / max(
fontArea,
boundArea) >= Constants.TEXT_AREA_ACCEPTANCE_DIFFERENCE_THRESHOLD
return dimensionCheck and areaCheck
def destroy(self):
self.mHandle.End
class ViewerWindow(Gtk.Window):
def __init__(self, filenames, kind, show, ml):
Gtk.Window.__init__(self)
self.ptx = 0
self.pty = 0
self.focus_id = -1
self.file_idx = 0
self.kind = kind
self.show_hidden = show
self.ml = ml
self.screen_hint = ''
self.in_hint_screen = False
self.colors = {}
self.memory = {}
self.elem_models = {}
self.filenames = filenames
self.tesapi = PyTessBaseAPI(lang='eng')
self.tesapi.SetVariable("tessedit_char_whitelist", WHITELIST)
self.init_ui()
self.load()
def init_ui(self):
self.connect("delete-event", Gtk.main_quit)
darea = Gtk.DrawingArea()
darea.connect("draw", self.on_draw)
darea.connect("motion-notify-event", self.move_over)
darea.connect("button-release-event", self.click_evt)
darea.connect("scroll-event", self.scroll_evt)
darea.connect("key-release-event", self.key_evt)
darea.set_events(Gdk.EventMask.POINTER_MOTION_MASK
| Gdk.EventMask.BUTTON_RELEASE_MASK
| Gdk.EventMask.BUTTON_PRESS_MASK
| Gdk.EventMask.SCROLL_MASK
| Gdk.EventMask.KEY_PRESS_MASK
| Gdk.EventMask.KEY_RELEASE_MASK)
darea.set_can_focus(True)
self.add(darea)
self.show_all()
def load(self, prev=False):
if self.file_idx == len(self.filenames):
Gtk.main_quit()
return
if prev:
self.file_idx -= 2
filename = self.filenames[self.file_idx]
(self.app, self.scr) = util.get_aux_info(filename)
if self.app not in self.memory:
self.memory[self.app] = {}
self.set_title(filename)
self.file_idx += 1
print("Loading %s" % filename)
self.pngfile = os.path.splitext(filename)[0] + '.png'
self.descname = os.path.splitext(filename)[0] + '.%s.txt' % self.kind
starttime = time.time()
self.tree = analyze.load_tree(filename)
hidden.find_hidden_ocr(self.tree)
hidden.mark_children_hidden_ocr(self.tree)
util.print_tree(self.tree, show_hidden=self.show_hidden)
if self.ml:
self.get_ml_rets()
else:
self.load_desc()
endtime = time.time()
print("Load time: %.3fs" % (endtime - starttime))
self.focus_id = -1
self.colors = {}
self.ptx = self.pty = 0
self.img = cairo.ImageSurface.create_from_png(self.pngfile)
print('Image:', self.img.get_width(), self.img.get_height())
root_item_id = min(self.tree)
root_node = self.tree[root_item_id]
print('Root node:', root_node['width'], root_node['height'])
self.scale = 1.0 * self.img.get_width() / config.width
#self.scale = analyze.find_closest(self.scale, analyze.SCALE_RATIOS)
print('Scale:', '%.3f' % self.scale, '->', '%.3f' % self.scale)
self.resize(self.img.get_width(), self.img.get_height())
self.mark_depth(self.tree)
for item_id in self.tree:
color_r = random.random() / 2
color_g = random.random() / 2
color_b = random.random() / 2
self.colors[item_id] = (color_r, color_g, color_b)
imgocr = Image.open(self.pngfile)
self.imgwidth = imgocr.width
self.imgheight = imgocr.height
#imgocr2 = imgocr.convert("RGB").resize(
# (imgocr.width * OCR_RATIO, imgocr.height * OCR_RATIO))
self.tesapi.SetImage(imgocr)
self.tesapi.SetSourceResolution(config.ocr_resolution)
self.dump_memory()
def remember(self, node, desc):
nodeid = node['id']
if not node['id']:
return
if node['id'] in self.memory[self.app]:
if desc != self.memory[self.app][nodeid]:
# multiple!
self.memory[self.app][nodeid] = 'MUL'
else:
self.memory[self.app][node['id']] = desc
def forget(self, node):
if node['id'] in self.memory[self.app]:
del self.memory[self.app][node['id']]
def get_elem_model(self, app):
elem_clas = elements.getmodel("../model/", "../guis/", app,
"../guis-extra/",
config.extra_element_scrs)
self.elem_models[app] = elem_clas
def get_ml_rets(self):
if self.app not in self.elem_models:
self.get_elem_model(self.app)
guess_descs = {}
guess_items = {} # type: Dict[str, List[int]]
guess_score = {}
elem_clas = self.elem_models[self.app]
elem_clas.set_imgfile(self.pngfile)
treeinfo = analyze.collect_treeinfo(self.tree)
for itemid in self.tree:
(guess_element,
score) = elem_clas.classify(self.scr, self.tree, itemid, None,
treeinfo)
if guess_element != 'NONE':
if tags.single(guess_element,
self.scr) and guess_element in guess_items:
old_item = guess_items[guess_element][0]
if guess_score[old_item] < score:
guess_items[guess_element] = [itemid]
guess_score[itemid] = score
del guess_descs[old_item]
guess_descs[itemid] = guess_element
else:
guess_descs[itemid] = guess_element
guess_score[itemid] = score
guess_items[guess_element] = (
guess_items.get(guess_element, []) + [itemid])
for nodeid in guess_descs:
self.tree[nodeid]['label'] = guess_descs[nodeid]
def load_desc(self):
if os.path.exists(self.descname):
with open(self.descname) as inf:
for line in inf.read().split('\n'):
if not line:
continue
(item_id, desc) = line.split(' ', 1)
item_id = int(item_id)
found = False
for nodeid in self.tree:
node = self.tree[nodeid]
if item_id in node['raw']:
if 'label' in node:
node['label'] += ' ' + desc
else:
node['label'] = desc
print(nodeid, '(', item_id, ')', '->', desc)
self.remember(node, desc)
found = True
break
if not found:
print("WARNING: %s (%s) is missing!" % (item_id, desc))
def mark_depth(self, tree):
for item_id in tree:
node = tree[item_id]
if 'depth' in node:
continue
self.mark_depth_node(tree, item_id, 0)
def mark_depth_node(self, tree, node_id, depth):
node = tree[node_id]
node['depth'] = depth
node['descs'] = []
for child in node['children']:
descs = self.mark_depth_node(tree, child, depth + 1)
node['descs'] += descs
return node['descs'] + [node_id]
def get_node_info(self, node):
(x, y, width, height, depth) = (node['x'], node['y'], node['width'],
node['height'], node['depth'])
x *= self.scale
y *= self.scale
width *= self.scale
height *= self.scale
width = min(width, self.imgwidth)
height = min(height, self.imgheight)
if x < 0:
width += x
x = 0
if y < 0:
height += y
y = 0
return (x, y, width, height, depth)
def find_containing_widget(self, px, py):
max_depth = 0
max_id = -1
for item_id in self.tree:
node = self.tree[item_id]
if self.ignore_node(node):
continue
if self.inside(node, px, py):
if node['depth'] > max_depth:
max_depth = node['depth']
max_id = item_id
return max_id
def inside(self, node, px, py):
(x, y, width, height, depth) = self.get_node_info(node)
return x <= px and x + width >= px and y <= py and y + height >= py
def ignore_node(self, node):
if node['class'].upper() == 'OPTION':
return True
if node.get('visible', '') == 'hidden':
return True
return False
def on_draw(self, wid, ctx):
ctx.select_font_face("Arial", cairo.FONT_SLANT_NORMAL,
cairo.FONT_WEIGHT_BOLD)
ctx.set_source_surface(self.img, 0, 0)
ctx.paint()
ctx.set_font_size(20)
ctx.set_line_width(5)
ctx.set_source_rgb(1.0, 0.0, 0.0)
max_click_id = -1
max_click_depth = 0
max_id = self.find_containing_widget(self.ptx, self.pty)
for item_id in self.tree:
node = self.tree[item_id]
depth = node['depth']
if max_id in node['descs'] and node['click']:
if depth > max_click_depth:
max_click_depth = depth
max_click_id = item_id
for item_id in self.tree:
node = self.tree[item_id]
if self.ignore_node(node):
continue
if item_id == max_id:
region_mode = False
else:
region_mode = True
(x, y, width, height, depth) = self.get_node_info(node)
if not self.inside(node, self.ptx, self.pty):
continue
self.show_widget(ctx, item_id, not region_mode, not region_mode)
if max_click_id != -1 and max_click_id != max_id:
self.show_widget(ctx, max_click_id, False, True)
if self.focus_id >= 0:
self.show_widget(ctx, self.focus_id, True, True, (1, 0, 0))
for itemid in self.tree:
node = self.tree[itemid]
if 'label' in node:
if itemid == self.focus_id:
color = (0, 1, 0)
else:
color = (0, 0, 1)
self.show_widget(ctx, itemid, True, False, (0, 0, 1))
self.show_desc(ctx, node, color)
#s.write_to_png('test.png')
#os.system("%s %s" % (config.picviewer_path, 'test.png'))
#report_time(start_time, "displayed")
def move_sibling(self, to_next):
leaf_list = []
any_list = []
for itemid in self.tree:
node = self.tree[itemid]
if not self.inside(node, self.clickx, self.clicky):
continue
if len(node['children']) == 0:
leaf_list.append(itemid)
any_list.append(itemid)
for i in range(len(leaf_list)):
if leaf_list[i] == self.focus_id:
if to_next:
idx = (i + 1) % len(leaf_list)
else:
idx = (i - 1) % len(leaf_list)
self.focus_id = leaf_list[idx]
return
if len(leaf_list) == 0:
for i in range(len(any_list)):
if any_list[i] == self.focus_id:
if to_next:
idx = (i + 1) % len(any_list)
else:
idx = (i - 1) % len(any_list)
self.focus_id = any_list[idx]
return
self.focus_id = any_list[0]
else:
self.focus_id = leaf_list[0]
def show_widget(self, ctx, item_id, fill, show_text, colors=None):
node = self.tree[item_id]
(x, y, width, height, depth) = self.get_node_info(node)
if colors is None:
color_r = self.colors[item_id][0]
color_g = self.colors[item_id][1]
color_b = self.colors[item_id][2]
else:
(color_r, color_g, color_b) = colors
ctx.rectangle(x, y, width, height)
if fill:
ctx.set_source_rgba(color_r, color_g, color_b, 0.3)
ctx.fill()
else:
ctx.set_source_rgba(color_r, color_g, color_b, 1)
ctx.set_line_width(5)
ctx.stroke()
if show_text:
max_char = int(width / ctx.text_extents("a")[2])
text = str(item_id)
if node['click']:
text = 'C' + text
if node['text']:
text = text + ':' + node['text'][:(max_char - 5)]
elif node['id']:
text += '#' + node['id'][:(max_char - 5)]
self.show_text(ctx, x + width / 2, y + height / 2, text, color_r,
color_g, color_b)
def show_desc(self, ctx, node, color=(0, 0, 1)):
desc = node['label']
(x, y, width, height, depth) = self.get_node_info(node)
self.show_text(ctx, x + width / 2, y + height / 2, desc, color[0],
color[1], color[2])
def show_text(self, ctx, x, y, text, color_r, color_g, color_b):
x_bearing, y_bearing, text_width, text_height = ctx.text_extents(
text)[:4]
ctx.move_to(x - text_width / 2, y + text_height / 2)
ctx.set_source_rgba(1, 1, 1, 1)
ctx.set_line_width(5)
ctx.text_path(text)
ctx.stroke()
ctx.move_to(x - text_width / 2, y + text_height / 2)
ctx.set_source_rgba(color_r, color_g, color_b, 1)
ctx.text_path(text)
ctx.fill()
def move_over(self, widget, evt):
self.ptx = evt.x
self.pty = evt.y
self.queue_draw()
def click_evt(self, widget, evt):
if self.in_hint_screen:
self.process_screen_hint_click(evt)
return
if evt.button == 3:
self.focus_id = -1
else:
self.clickx = evt.x
self.clicky = evt.y
self.focus_id = self.find_containing_widget(evt.x, evt.y)
self.queue_draw()
def scroll_evt(self, widget, evt):
if self.focus_id == -1:
return
scroll_up = evt.direction == Gdk.ScrollDirection.UP
if scroll_up:
self.focus_id = self.find_parent_widget(self.focus_id)
else:
self.focus_id = self.find_child_widget(self.focus_id)
self.queue_draw()
def find_parent_widget(self, wid):
for itemid in self.tree:
node = self.tree[itemid]
if self.ignore_node(node):
continue
if wid in node['children']:
return itemid
return wid
def find_child_widget(self, wid):
for itemid in self.tree[wid]['children']:
node = self.tree[itemid]
if self.ignore_node(node):
continue
if self.inside(node, self.clickx, self.clicky):
return itemid
return wid
def mark_direct(self):
enter = self.get_text('Please enter id_label', 'format: <id> <label>')
if enter is None:
return
if ' ' in enter:
nodeid, label = enter.split(' ')
else:
nodeid = enter
label = ''
nodeid = int(nodeid)
if nodeid not in self.tree:
print('missing node', nodeid)
return
node = self.tree[nodeid]
self.mark_node(node, label)
def mark_focused(self):
if self.focus_id < 0:
return
node = self.tree[self.focus_id]
label = self.get_text(
'Please enter label', 'label for %s: %s (%s) #%s' %
(self.focus_id, node['text'], node['desc'], node['id']))
if label is None:
return
if self.ml:
if label == '':
if 'label' not in self.tree[self.focus_id]:
return
self.generate_negative_hint(self.tree[self.focus_id]['label'])
del self.tree[self.focus_id]['label']
else:
self.generate_hint_for_widget(self.focus_id, label)
self.add_label(node, label)
else:
self.mark_node(node, label)
def generate_hint_for_widget(self, nodeid, label):
return self.generate_hint(label,
locator.get_locator(self.tree, nodeid))
def generate_negative_hint(self, label):
return self.generate_hint(label, 'notexist')
def generate_hint(self, label, hint):
print("@%s.%s %s" % (self.scr, label, hint))
def mark_node(self, node, label):
if label == '':
if 'label' in node:
del node['label']
self.forget(node)
else:
self.add_label(node, label)
self.remember(node, label)
self.save_labels()
def ocr_text(self):
node = self.tree[self.focus_id]
(x, y, width, height, _) = self.get_node_info(node)
print(x, y, width, height)
x = max(x - 1, 0)
y = max(y - 1, 0)
width = min(width + 2, self.imgwidth)
height = min(height + 2, self.imgheight)
#self.tesapi.SetRectangle(x * OCR_RATIO, y * OCR_RATIO,
# width * OCR_RATIO, height * OCR_RATIO)
self.tesapi.SetRectangle(x, y, width, height)
print("OCR ret:", self.tesapi.GetUTF8Text())
x = min(x + width * 0.05, self.imgwidth)
y = min(y + height * 0.05, self.imgheight)
width *= 0.9
height *= 0.9
self.tesapi.SetRectangle(x, y, width, height)
print("OCR ret:", self.tesapi.GetUTF8Text())
def save_region(self):
if self.focus_id == -1:
return
node = self.tree[self.focus_id]
(x, y, width, height, _) = self.get_node_info(node)
x = max(x - 1, 0)
y = max(y - 1, 0)
width = min(width + 2, self.imgwidth)
height = min(height + 2, self.imgheight)
regimg = cairo.ImageSurface(cairo.FORMAT_RGB24, int(width),
int(height))
ctx = cairo.Context(regimg)
ctx.set_source_surface(self.img, -x, -y)
ctx.paint()
regimg.write_to_png("/tmp/region.png")
def dump_memory(self):
for _id in self.memory[self.app]:
print('MEM %s -> %s' % (_id, self.memory[self.app][_id]))
def add_label(self, node, desc):
print('%s -> %s' % (util.describe_node(node, short=True), desc))
node['label'] = desc
def auto_label(self):
for nodeid in self.tree:
node = self.tree[nodeid]
if 'label' not in node and node['id'] in self.memory[self.app]:
if self.memory[self.app][node['id']] != 'MUL':
self.add_label(node, self.memory[self.app][node['id']])
else:
print('skip MUL id: %s' % node['id'])
self.save_labels()
def remove_all(self):
for nodeid in self.tree:
node = self.tree[nodeid]
if 'label' in node:
del node['label']
def process_screen_hint_click(self, evt):
click_id = self.find_containing_widget(evt.x, evt.y)
if click_id == -1:
print('Invalid widget selected')
return
hint = locator.get_locator(self.tree, click_id)
if hint is None:
print('Cannot generate hint for this widget')
return
hint = str(hint)
if evt.button == 3:
# negate
hint = 'not ' + hint
print('Widget hint: "%s"' % hint)
self.add_screen_hint(hint)
def add_screen_hint(self, hint):
if self.screen_hint == '':
self.screen_hint = hint
else:
self.screen_hint += ' && ' + hint
def hint_screen(self):
if not self.in_hint_screen:
label = self.get_text('Please enter screen name',
'screen name like "signin"')
if label is None:
return
self.screen_hint_label = label
self.in_hint_screen = True
self.screen_hint = ''
else:
self.in_hint_screen = False
print("%%%s %s" % (self.screen_hint_label, self.screen_hint))
def key_evt(self, widget, evt):
if evt.keyval == Gdk.KEY_space:
self.mark_focused()
elif evt.keyval == Gdk.KEY_Tab:
self.load()
elif evt.keyval == Gdk.KEY_Left:
self.move_sibling(to_next=True)
elif evt.keyval == Gdk.KEY_Right:
self.move_sibling(to_next=False)
elif evt.keyval == Gdk.KEY_v:
self.ocr_text()
elif evt.keyval == Gdk.KEY_a:
self.auto_label()
elif evt.keyval == Gdk.KEY_p:
self.load(prev=True)
elif evt.keyval == Gdk.KEY_l:
self.mark_direct()
elif evt.keyval == Gdk.KEY_r:
self.remove_all()
elif evt.keyval == Gdk.KEY_s:
self.save_region()
elif evt.keyval == Gdk.KEY_x:
self.hint_screen()
self.queue_draw()
def save_labels(self):
with open(self.descname, 'w') as outf:
for itemid in sorted(self.tree):
node = self.tree[itemid]
if 'label' in node:
outf.write("%s %s\n" % (itemid, node['label']))
def get_text(self, title, prompt):
#base this on a message dialog
dialog = Gtk.MessageDialog(self, 0, Gtk.MessageType.QUESTION,
Gtk.ButtonsType.OK_CANCEL, title)
dialog.format_secondary_text(prompt)
#create the text input field
entry = Gtk.Entry()
#allow the user to press enter to do ok
entry.connect("activate",
lambda entry: dialog.response(Gtk.ResponseType.OK))
#create a horizontal box to pack the entry and a label
hbox = Gtk.HBox()
hbox.pack_start(Gtk.Label("Label:"), False, 5, 5)
hbox.pack_end(entry, True, 0, 0)
#add it and show it
dialog.vbox.pack_end(hbox, True, True, 0)
dialog.show_all()
#go go go
response = dialog.run()
if response == Gtk.ResponseType.OK:
text = entry.get_text()
else:
text = None
dialog.destroy()
return text
class FeatureCollector(object):
def __init__(self, tree, imgfile):
self.tree = tree
self.collect_texts()
self.imgfile = imgfile
self.tesapi = PyTessBaseAPI(lang='eng')
self.set_tes_image()
def set_tes_image(self):
#imgpil = Image.fromarray(numpy.uint8(imgdata * 255))
imgpil = Image.open(self.imgfile)
(self.imgwidth, self.imgheight) = (imgpil.width, imgpil.height)
imgpil = imgpil.convert("RGB").resize(
(imgpil.width * OCR_RATIO, imgpil.height * OCR_RATIO))
self.tesapi.SetImage(imgpil)
def add_ctx_attr(self, ctx, data, attr_re, word_limit=1000):
if ctx not in self.point:
self.point[ctx] = ''
words = attr_re.findall(data)
if word_limit and len(words) > word_limit:
return
for word in words:
if self.point[ctx]:
self.point[ctx] += ' '
self.point[ctx] += '%s' % word.lower()
def add_ctx(self, ctx, node, attrs, attr_re=anything_re, word_limit=None):
for attr in attrs:
self.add_ctx_attr(ctx, node[attr], attr_re, word_limit)
def collect_texts(self):
for nodeid in self.tree:
node = self.tree[nodeid]
if 'fulltext' not in node:
self.collect_text(node)
def collect_text(self, node):
""" Collect text from node and all its children """
if 'fulltext' in node:
return node['fulltext']
cls = node['class']
if cls == 'View':
text = node['desc']
else:
text = node['text']
for child in node['children']:
text = text.strip() + ' ' + self.collect_text(self.tree[child])
node['fulltext'] = text
return text
def prepare_neighbour(self):
node = self.tree[self.nodeid]
self.point['neighbour_ctx'] = ''
self.point['adj_ctx'] = ''
neighbour_count = 0
for other in self.tree:
if self.tree[other]['parent'] == node[
'parent'] and other != self.nodeid:
self.add_ctx_attr('neighbour_ctx',
self.collect_text(self.tree[other]), text_re)
self.add_ctx('neighbour_ctx', self.tree[other], ['id'], id_re)
if self.tree[other]['class'] == node['class']:
neighbour_count += 1
# left sibling
if (self.tree[other]['parent'] == node['parent']
and other != self.nodeid
and self.tree[other]['childid'] < node['childid']
and self.tree[other]['childid'] > node['childid'] - 2):
self.add_ctx_attr('adj_ctx',
self.collect_text(self.tree[other]), text_re)
self.add_ctx('adj_ctx', self.tree[other], ['id'], id_re)
self.point['neighbour_count'] = neighbour_count
def ctx_append(self, ctx, kind, clz, detail):
ret = ctx
ret += ' ' + kind + clz
regex = word_re
for part in regex.findall(detail):
ret += ' ' + kind + part
return ret
def collect_subtree_info(self, node, root):
if ignore_node(node):
return {'ctx': '', 'text': '', 'count': 0}
ctx = ''
count = 1
clz = node['class']
if clz == 'View':
text = node['desc'][:30]
else:
text = node['text'][:30]
desc = node['desc'][:30]
ctx += clz + ' '
ctx += node['id'] + ' '
ctx += text + ' '
ctx += desc + ' '
ctx += gen_ngram(text) + ' '
ctx += gen_ngram(desc) + ' '
if root is not None:
if node['width'] > 0.6 * config.width:
ctx = self.ctx_append(ctx, "WIDE", clz, node['id'])
if node['height'] > 0.6 * config.height:
ctx = self.ctx_append(ctx, "TALL", clz, node['id'])
if node['y'] + node['height'] < root['y'] + 0.3 * root['height']:
ctx = self.ctx_append(ctx, "TOP", clz, node['id'])
if node['x'] + node['width'] < root['x'] + 0.3 * root['width']:
ctx = self.ctx_append(ctx, "LEFT", clz, node['id'])
if node['y'] > root['y'] + 0.7 * root['height']:
ctx = self.ctx_append(ctx, "BOTTOM", clz, node['id'])
if node['x'] > root['x'] + 0.7 * root['width']:
ctx = self.ctx_append(ctx, "RIGHT", clz, node['id'])
for child in node['children']:
child_info = self.collect_subtree_info(
self.tree[child], root if root is not None else node)
ctx = ctx.strip() + ' ' + child_info['ctx']
count += child_info['count']
text = text.strip() + ' ' + child_info['text']
return {'ctx': ctx, 'text': text, 'count': count}
def prepare_children(self):
node = self.tree[self.nodeid]
#self.add_ctx_attr('node_subtree_text', self.collect_text(node), text_re, 10)
subtree_info = self.collect_subtree_info(node, None)
self.point['subtree'] = subtree_info['ctx']
self.point['node_subtree_text'] = subtree_info['text']
self.point['node_childs'] = subtree_info['count']
def prepare_ancestor(self):
node = self.tree[self.nodeid]
parent = node['parent']
self.point['parent_ctx'] = ''
parent_click = parent_scroll = parent_manychild = False
parent_depth = 0
while parent != 0 and parent != -1 and parent_depth < PARENT_DEPTH_LIMIT:
self.add_ctx('parent_ctx', self.tree[parent], ['class', 'id'],
id_re)
parent_click |= self.tree[parent]['click']
parent_scroll |= self.tree[parent]['scroll']
parent_manychild |= len(self.tree[parent]['children']) > 1
parent = self.tree[parent]['parent']
parent_depth += 1
self.point['parent_prop'] = [
parent_click, parent_scroll, parent_manychild
]
def prepare_self(self):
node = self.tree[self.nodeid]
# AUX info
self.point['id'] = self.nodeid
self.point['str'] = util.describe_node(node, None)
self.add_ctx('node_text', node, ['text'], text_re, 10)
self.add_ctx('node_ctx', node, ['desc'], text_re)
self.add_ctx('node_ctx', node, ['id'], id_re)
self.add_ctx('node_class', node, ['class'], id_re)
if 'Recycler' in node['class'] or 'ListView' in node['class']:
self.point['node_class'] += " ListContainer"
self.point['node_x'] = node['x']
self.point['node_y'] = node['y']
self.point['node_w'] = node['width']
self.point['node_h'] = node['height']
def prepare_point(self, nodeid, app, scr, caseid, imgdata, treeinfo, path):
"""Convert a node in the tree into a data point for ML"""
self.nodeid = nodeid
self.point = {}
# AUX info
self.point['app'] = app
self.point['scr'] = scr
self.point['case'] = caseid
self.prepare_self()
self.prepare_neighbour()
self.prepare_ancestor()
self.prepare_global(path, treeinfo)
self.prepare_img(imgdata)
self.prepare_ocr()
self.prepare_children()
return self.point
def prepare_global(self, path, treeinfo):
node = self.tree[self.nodeid]
has_dupid = False
is_itemlike = False
is_listlike = False
for _id in node['raw']:
if _id in treeinfo['dupid']:
has_dupid = True
break
for _id in node['raw']:
if _id in treeinfo['itemlike']:
is_itemlike = True
break
for _id in node['raw']:
if _id in treeinfo['listlike']:
is_listlike = True
break
self.point['node_prop'] = [
node['click'], node['scroll'],
len(node['children']) > 1, has_dupid, is_itemlike, is_listlike
]
self.point['path'] = path
def prepare_img(self, imgdata):
node = self.tree[self.nodeid]
# your widget should be inside the screenshot
# not always!
self.min_x = max(node['x'], 0)
self.min_y = max(node['y'], 0)
self.max_x = min(node['x'] + node['width'], self.imgwidth)
self.max_y = min(node['y'] + node['height'], self.imgheight)
self.empty = self.max_x <= self.min_x or self.max_y <= self.min_y
self.point['empty'] = self.empty
def prepare_ocr(self):
node = self.tree[self.nodeid]
if config.region_use_ocr and not self.empty:
if 'ocr' in node:
ocr_text = node['ocr']
else:
self.tesapi.SetRectangle(self.min_x * OCR_RATIO,
self.min_y * OCR_RATIO,
(self.max_x - self.min_x) * OCR_RATIO,
(self.max_y - self.min_y) * OCR_RATIO)
try:
ocr_text = self.tesapi.GetUTF8Text()
except:
logger.warning("tessearact fail to recognize")
ocr_text = ''
ocr_text = ocr_text.strip().replace('\n', ' ')
else:
ocr_text = 'dummy'
self.point['node_ocr'] = ocr_text
#if point['node_text'].strip() == '':
# point['node_text'] = ocr_text
logger.debug("%s VS %s" % (ocr_text, node['text']))
(missing, found, other) = (node['ocr_missing'], node['ocr_found'],
node['ocr_other'])
self.point['ocr_missing'] = missing
self.point['ocr_found'] = found
self.point['ocr_other'] = other
self.point['ocr_ratio'] = (1.0 * missing / (missing + other)
if missing + other > 0 else 0.0)
self.point['ocr_visible'] = node['visible']
image = Image.fromarray(np.uint8(skimg * 255))
#image = Image.
#image.save('page0y.png')
#image = Image.open('page0.png')
title = ''
max_h = 0
min_y = 10000
api.SetImage(image)
#api.SetImageFile(filename)
boxes = api.GetComponentImages(RIL.TEXTLINE, True)
#print('Found {} textline image components.'.format(len(boxes)))
for i, (im, box, _, _) in enumerate(boxes):
# im is a PIL image object
# box is a dict with x, y, w and h keys
api.SetRectangle(box['x'], box['y'], box['w'], box['h'])
ocrResult = api.GetUTF8Text().replace('\n', ' ').strip()
conf = api.MeanTextConf()
print("Box[{0}]: x={x}, y={y}, w={w}, h={h}, "
"confidence: {1}, text: {2}".format(i, conf, ocrResult, **box))
text = ' '.join(alpha_re.findall(ocrResult.strip()))
if len(text) < 5:
continue
if box['y'] <= 50:
continue
if box['y'] < min_y:
min_y = box['y']
title = text
class GameAdaptor:
def __init__(self, window_name):
self._window_name = window_name
self._hwnd = win32gui.FindWindow(None, window_name)
_options = dict(psm=PSM.SINGLE_LINE, oem=OEM.LSTM_ONLY)
self._api = PyTessBaseAPI('tessdata', 'eng', **_options)
self._image = None
self._lock = Lock()
self._work = 0
if self._hwnd == 0:
raise Exception('Window Handle Not Found! xD')
def _get_window_region(self):
bl, bt, br, bb = 12, 31, 12, 20
l, t, r, b = win32gui.GetWindowRect(self._hwnd)
w = r - l - br - bl
h = b - t - bt - bb
return l, t, w, h, bl, bt
@contextmanager
def _window_device_context(self):
wdc = win32gui.GetWindowDC(self._hwnd)
dc_obj = win32ui.CreateDCFromHandle(wdc)
c_dc = dc_obj.CreateCompatibleDC()
yield dc_obj, c_dc
dc_obj.DeleteDC()
c_dc.DeleteDC()
win32gui.ReleaseDC(self._hwnd, wdc)
def _capture(self):
x, y, w, h, bx, by = self._get_window_region()
with self._window_device_context() as (dc_obj, cdc):
bmp = win32ui.CreateBitmap()
bmp.CreateCompatibleBitmap(dc_obj, w, h)
cdc.SelectObject(bmp)
cdc.BitBlt((0, 0), (w, h), dc_obj, (bx, by), win32con.SRCCOPY)
bmp_info = bmp.GetInfo()
img = np.frombuffer(bmp.GetBitmapBits(True), dtype=np.uint8)
win32gui.DeleteObject(bmp.GetHandle())
return img.reshape(bmp_info['bmHeight'], bmp_info['bmWidth'],
4)[:, :, :-1]
def _do_capture(self):
while self._work == 1:
temp_image = self._capture()
self._lock.acquire()
self._image = temp_image
self._lock.release()
sleep(0.001)
self._work = -1
def start_capture(self):
self._work = 1
Thread(target=self._do_capture).start()
while self._image is None:
sleep(0.001)
def stop_capture(self):
self._work = 0
while self._work != -1:
sleep(0.001)
self._image = None
def get_image(self):
self._lock.acquire()
res = self._image
self._lock.release()
return res
def send_keys(self, *keys):
for k in keys:
win32gui.PostMessage(self._hwnd, win32con.WM_KEYDOWN, k, 0)
def get_text(self, region):
temp_pil_image = Image.fromarray(self.get_image())
self._api.SetImage(temp_pil_image)
while region is not None:
x, y, w, h = region
self._api.SetRectangle(x, y, w, h)
self._api.Recognize(0)
region = yield self._api.GetUTF8Text()
class OCREngine():
def __init__(self, extra_whitelist='', all_unicode=False, lang='eng'):
"""
Args:
extra_whitelist: string of extra chars for Tesseract to consider
only takes effect when all_unicode is False
all_unicode: if True, Tess will consider all possible unicode characters
lang: OCR language
"""
self.tess = PyTessBaseAPI(psm=PSM_MODE, lang=lang)
self.is_closed = False
if all_unicode:
self.whitelist_chars = None
else:
self.whitelist_chars = ("abcdefghijklmnopqrstuvwxyz"
"ABCDEFGHIJKLMNOPQRSTUVWXYZ"
"1234567890"
r"~!@#$%^&*()_+-={}|[]\:;'<>?,./"
'"'
"©") + extra_whitelist
self.tess.SetVariable('tessedit_char_whitelist',
self.whitelist_chars)
def check_engine(self):
if self.is_closed:
raise RuntimeError('OCREngine has been closed.')
def recognize(self,
image,
min_text_size=MIN_TEXT_SIZE,
max_text_size=MAX_TEXT_SIZE,
uniformity_thresh=UNIFORMITY_THRESH,
thin_line_thresh=THIN_LINE_THRESH,
conf_thresh=CONF_THRESH,
box_expand_factor=BOX_EXPAND_FACTOR,
horizontal_pooling=HORIZONTAL_POOLING):
"""
Generator: Blob
http://stackoverflow.com/questions/23506105/extracting-text-opencv
Args:
input_image: can be one of the following types:
- string: image file path
- ndarray: numpy image
- PIL.Image.Image: PIL image
min_text_size:
min text height/width in pixels, below which will be ignored
max_text_size:
max text height/width in pixels, above which will be ignored
uniformity_thresh (0.0 < _ < 1.0):
remove all black or all white regions
ignore a region if the number of pixels neither black nor white < [thresh]
thin_line_thresh (must be odd int):
remove all lines thinner than [thresh] pixels.
can be used to remove the thin borders of web page textboxes.
conf_thresh (0 < _ < 100):
ignore regions with OCR confidence < thresh.
box_expand_factor (0.0 < _ < 1.0):
expand the bounding box outwards in case certain chars are cutoff.
horizontal_pooling:
result bounding boxes will be more connected with more pooling,
but large pooling might lower accuracy.
"""
self.check_engine()
# param sanity check
assert max_text_size > min_text_size > 0
assert 0.0 <= uniformity_thresh < 1.0
assert thin_line_thresh % 2 == 1
assert 0 <= conf_thresh < 100
assert 0.0 <= box_expand_factor < 1.0
assert horizontal_pooling > 0
image = get_np_img(image)
img_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
img_bw = cv2.adaptiveThreshold(img_gray, 255,
cv2.ADAPTIVE_THRESH_MEAN_C,
cv2.THRESH_BINARY, 11, 5)
img = img_gray
# http://docs.opencv.org/3.0-beta/doc/py_tutorials/py_imgproc/py_morphological_ops/py_morphological_ops.html
kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (3, 3))
img = cv2.morphologyEx(img, cv2.MORPH_GRADIENT, kernel)
# cut off all gray pixels < 30.
# `cv2.THRESH_BINARY | cv2.THRESH_OTSU` is also good, but might overlook certain light gray areas
_, img = cv2.threshold(img, 30, 255, cv2.THRESH_BINARY)
# connect horizontally oriented regions
kernel = cv2.getStructuringElement(cv2.MORPH_RECT,
(horizontal_pooling, 1))
img = cv2.morphologyEx(img, cv2.MORPH_CLOSE, kernel)
# remove all thin textbox borders (e.g. web page textbox)
if thin_line_thresh > 0:
kernel = cv2.getStructuringElement(
cv2.MORPH_RECT, (thin_line_thresh, thin_line_thresh))
img = cv2.morphologyEx(img, cv2.MORPH_OPEN, kernel)
# http://docs.opencv.org/trunk/d9/d8b/tutorial_py_contours_hierarchy.html
_, contours, hierarchy = cv2.findContours(img, cv2.RETR_CCOMP,
cv2.CHAIN_APPROX_SIMPLE)
for contour in contours:
x, y, w, h = box = Box(*cv2.boundingRect(contour))
# remove regions that are beyond size limits
if (w < min_text_size or h < min_text_size or h > max_text_size):
continue
# remove regions that are almost uniformly white or black
binary_region = crop(img_bw, box)
uniformity = np.count_nonzero(binary_region) / float(w * h)
if (uniformity > 1 - uniformity_thresh
or uniformity < uniformity_thresh):
continue
# expand the borders a little bit to include cutoff chars
expansion = int(min(h, w) * box_expand_factor)
x = max(0, x - expansion)
y = max(0, y - expansion)
h, w = h + 2 * expansion, w + 2 * expansion
if h > w: # further extend the long axis
h += 2 * expansion
elif w > h:
w += 2 * expansion
# image passed to Tess should be grayscale.
# http://stackoverflow.com/questions/15606379/python-tesseract-segmentation-fault-11
box = Box(x, y, w, h)
img_crop = crop(img_gray, box)
# make sure that crops passed in tesseract have minimum x-height
# http://github.com/tesseract-ocr/tesseract/wiki/FAQ#is-there-a-minimum-text-size-it-wont-read-screen-text
img_crop = cv2.resize(img_crop,
(int(img_crop.shape[1] * CROP_RESIZE_HEIGHT /
img_crop.shape[0]), CROP_RESIZE_HEIGHT))
ocr_text, conf = self.run_tess(img_crop)
if conf > conf_thresh:
yield Blob(ocr_text, box, conf)
def _experiment_segment(self,
img,
min_text_size=MIN_TEXT_SIZE,
max_text_size=MAX_TEXT_SIZE,
uniformity_thresh=UNIFORMITY_THRESH,
horizontal_pooling=HORIZONTAL_POOLING):
"""
PRIVATE: experiment only
"""
img_init = img # preserve initial image
img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
img_bw = cv2.adaptiveThreshold(img_gray, 255,
cv2.ADAPTIVE_THRESH_MEAN_C,
cv2.THRESH_BINARY, 11, 5)
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# http://docs.opencv.org/3.0-beta/doc/py_tutorials/py_imgproc/py_morphological_ops/py_morphological_ops.html
morph_kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (3, 3))
img = cv2.morphologyEx(img, cv2.MORPH_GRADIENT, morph_kernel)
disp(img)
# morph_kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (3, 3))
# img = cv2.dilate(img, morph_kernel)
# OTSU thresholding
# _, img = cv2.threshold(img, 0, 255, cv2.THRESH_BINARY | cv2.THRESH_OTSU)
_, img = cv2.threshold(img, 30, 255, cv2.THRESH_BINARY)
# img = cv2.adaptiveThreshold(img,255,cv2.ADAPTIVE_THRESH_MEAN_C,cv2.THRESH_BINARY_INV,9,2)
disp(img)
# connect horizontally oriented regions
morph_kernel = cv2.getStructuringElement(cv2.MORPH_RECT,
(horizontal_pooling, 1))
img = cv2.morphologyEx(img, cv2.MORPH_CLOSE, morph_kernel)
disp(img)
if 0:
morph_kernel = cv2.getStructuringElement(cv2.MORPH_CROSS,
(horizontal_pooling, 3))
img = cv2.erode(img, morph_kernel, iterations=1)
disp(img)
morph_kernel = cv2.getStructuringElement(cv2.MORPH_CROSS, (6, 6))
img = cv2.dilate(img, morph_kernel, iterations=1)
elif 1:
morph_kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (7, 7))
img = cv2.morphologyEx(img, cv2.MORPH_OPEN, morph_kernel)
disp(img)
# http://docs.opencv.org/trunk/d9/d8b/tutorial_py_contours_hierarchy.html
_, contours, hierarchy = cv2.findContours(img, cv2.RETR_CCOMP,
cv2.CHAIN_APPROX_SIMPLE)
img_copy = np.copy(img_init)
for contour in contours:
x, y, w, h = cv2.boundingRect(contour)
draw_rect(img_copy, x, y, w, h)
if (w < min_text_size or h < min_text_size or h > max_text_size):
continue
binary_region = img_bw[y:y + h, x:x + w]
uniformity = np.count_nonzero(binary_region) / float(w * h)
if (uniformity > 1 - uniformity_thresh
or uniformity < uniformity_thresh):
# ignore mostly white or black regions
# print(w, h)
# disp(binary_region)
continue
# the image must be grayscale, otherwise Tesseract will SegFault
# http://stackoverflow.com/questions/15606379/python-tesseract-segmentation-fault-11
draw_rect(img_init, x, y, w, h)
disp(img_copy)
disp(img_init, 0)
def run_tess(self, img):
"""
Tesseract python API source code:
https://github.com/sirfz/tesserocr/blob/master/tesserocr.pyx
Returns:
(ocr_text, confidence)
"""
if isinstance(img, np.ndarray):
img = np2PIL(img)
self.tess.SetImage(img)
ocr_text = self.tess.GetUTF8Text().strip()
conf = self.tess.MeanTextConf()
return ocr_text, conf
def _deprec_run_tess(self, img):
"GetComponentImages throws SegFault randomly. No way to fix. :("
if isinstance(img, np.ndarray):
img = np2PIL(img)
components = self.tess.GetComponentImages(RIL.TEXTLINE, True)
for _, inner_box, block_id, paragraph_id in components:
# box is a dict with x, y, w and h keys
inner_box = Box(**inner_box)
if inner_box.w < MIN_TEXT_SIZE or inner_box.h < MIN_TEXT_SIZE:
continue
self.tess.SetRectangle(*inner_box)
ocr_text = self.tess.GetUTF8Text().strip()
conf = self.tess.MeanTextConf()
yield ocr_text, inner_box, conf
def close(self):
self.tess.End()
self.is_closed = True
def __enter__(self):
return self
def __exit__(self, type, value, traceback):
self.close()