def testShowInterestAreaBox():
import platform
imgdirname = ["data", "img", "style1"]
if "Windows" in platform.system():
imgdirname = FileNameUtil.getDirname(
r"D:\chengxu\python\project\digitRecognise\com\huitong\gasMeterv1",
imgdirname)
elif "Linux" in platform.system():
imgdirname = FileNameUtil.getDirname(
r"/home/allen/work/digitRecognise/com/huitong/gasMeterv1",
imgdirname)
pattern = r'.*\.jpg$'
filelist = FileNameUtil.getPathFilenameList(imgdirname, pattern)
interestColorLower = (0, 0, 0)
interestColorUpper = (70, 70, 70)
for filename in filelist:
image = cv2.imread(filename)
image = ImageTool.preProcessImage(image)
boxCornerPoint = ImageTool.getInterestBoxCornerPointByColor(
image, interestColorLower, interestColorUpper)
if boxCornerPoint is not None:
box = ImageTool.getBoxFromBoxCorner(boxCornerPoint)
boxCornerPoint = ImageTool.getBoxCornerPointFromBox(box)
title = "box area, %s" % FileNameUtil.getFilenameFromFullFilepathname(
filename)
ImageTool.showBoxInImageByBoxCornerPoint(image, boxCornerPoint,
title)
else:
print("no color in range" + str(interestColorLower) +
str(interestColorUpper))
def fun2():
imgdirname = ["data","img"]
imgdirname = FileNameUtil.getDirname(FileNameUtil.getBasedirname(__file__),imgdirname)
imgdirname = FileNameUtil.getPathJoin(imgdirname,"pic1.jpg")
img = Image.open(imgdirname)
plt.figure()
plt.imshow(img)
plt.title("ori")
plt.show()
pastImg = np.zeros([20,40],dtype=np.uint8)
plt.figure()
plt.imshow(pastImg)
plt.title("past")
plt.show()
pastImg = Image.fromarray(pastImg)
# left, upper, right, and lower pixel coordinate
img.paste(pastImg,(40,0,80,20))
plt.figure()
plt.imshow(img)
plt.title("after")
plt.show()
def testShowGasmeterArea():
imgdirname = ["data", "img", "style0"]
imgdirname = FileNameUtil.getDirname(FileNameUtil.getBasedirname(__file__),
imgdirname)
pattern = r'.*\.jpg$'
filelist = FileNameUtil.getPathFilenameList(imgdirname, pattern)
for each in filelist:
ImageTool.showGasmeterArea(cv2.imread(each), filename=each)
def dataDirInit():
path = FileNameUtil.getBasedirname(__file__)
saveVariableDirname = FileNameUtil.getDirname(
path, gps.saveVariableDirnameList)
logDirname = FileNameUtil.getDirname(path, gps.logDirnameList)
if not FileNameUtil.fileExisted(saveVariableDirname):
os.makedirs(saveVariableDirname)
if not FileNameUtil.fileExisted(logDirname):
os.makedirs(logDirname)
def testgetGasmeterAreaData():
imgdirname = ["data", "img", "style0"]
imgdirname = FileNameUtil.getDirname(FileNameUtil.getBasedirname(__file__),
imgdirname)
pattern = r'.*\.jpg$'
filelist = FileNameUtil.getPathFilenameList(imgdirname, pattern)
for each in filelist:
img = ImageTool.getGasmeterAreaData(cv2.imread(each))
data = np.array(img)
print(data.shape)
plt.figure()
plt.title("gasmeter area")
plt.imshow(img)
plt.show()
def getFilename(filename, baseDirname=None, dirnameList=None):
"""
根据基目录、子目录名列表、文件名获取文件全路径名。
如果基目录名为None,则基目录为当前文件所在目录。
:param dirnameList:
:param filename:
:param baseDirname:
"""
path = baseDirname
if baseDirname is None:
path = FileNameUtil.getBasedirname(__file__)
if dirnameList is not None:
path = FileNameUtil.getDirname(path, dirnameList)
return FileNameUtil.getFilename(path, filename)
def getRandomFilename():
if "Windows" in platform.system():
dirname = r"D:\chengxu\python\project\digitRecognise\com\huitong\gasMeterv1\data\img\gasmeterRoller"
elif "Linux" in platform.system():
dirname = r"/home/allen/work/digitRecognise/com/huitong/gasMeterv1/data/img/gasmeterRoller"
filenameList = FileNameUtil.getPathFilenameList(dirname)
return random.choice(filenameList)
def testGasmeterComposite():
captchaCharacterLength = 5
captchaBoxWidth = 128
captchaBoxHeight = 64
gen = GenDigitPicture(captchaCharacterLength,
captchaBoxWidth,
captchaBoxHeight,
backgroundColor=(1, 1, 1),
fontColor=(200, 200, 200))
imgdirname = ["data", "img", "style0"]
imgdirname = FileNameUtil.getDirname(FileNameUtil.getBasedirname(__file__),
imgdirname)
pattern = r'.*\.jpg$'
filenames = FileNameUtil.getPathFilenameList(imgdirname, pattern)
for filename in filenames:
gasmeterPic = cv2.imread(filename)
for i in range(5):
text, image = gen.get_compose_gasmeter_text_and_image(gasmeterPic)
print('begin ' + time.strftime("%Y-%m-%d %H:%M:%S") +
str(type(image)))
f = plt.figure()
ax = f.add_subplot(111)
ax.text(0.1,
0.9,
text,
ha='center',
va='center',
transform=ax.transAxes)
title = FileNameUtil.getFilenameFromFullFilepathname(
filename) + " for composite"
plt.title(title)
plt.imshow(image)
plt.show()
print('end ' + time.strftime("%Y-%m-%d %H:%M:%S"))
img = ImageTool.getGasmeterAreaData(
cv2.cvtColor(image, cv2.COLOR_BGR2BGRA))
plt.figure()
title = title + ", found gasmeter area," + text
plt.title(title)
plt.imshow(img)
plt.show()
def fun7():
baseDir = r"D:\chengxu\python\project\digitRecognise\com\huitong\gasMeterv1"
imgdirname = ["data", "img","gasmeterHead","style1"]
dirname = FileNameUtil.getDirname(baseDir,imgdirname)
filelist = FileNameUtil.getPathFilenameList(dirname,".*\.jpg")
interestLoweer = (0,0,100)
interestUpper = (60,45,255)
interestLoweer = (40, 35, 80)
interestUpper = (105, 105, 230)
for each in filelist:
image = cv2.imread(each)
cornerpoint = ImageTool.getInterestBoxCornerPointByColor(image,interestLoweer,interestUpper)
title = os.path.basename(each)
ImageTool.showBoxInImageByBoxCornerPoint(image, cornerpoint, title)
def testGet_compose_gasmeter_next_batch():
imgdirname = ["data", "img", "style0"]
imgdirname = FileNameUtil.getDirname(FileNameUtil.getBasedirname(__file__),
imgdirname)
pattern = r'.*\.jpg$'
filelist = FileNameUtil.getPathFilenameList(imgdirname, pattern)
captchaCharacterLength = 5
captchaBoxWidth = 128
captchaBoxHeight = 64
gen = GenDigitPicture(captchaCharacterLength,
captchaBoxWidth,
captchaBoxHeight,
backgroundColor=(10, 10, 10),
fontColor=(200, 200, 200))
for eachfile in filelist:
gen.get_compose_gasmeter_next_batch(cv2.imread(eachfile))
def get_batch_gasmeter_digit_area_from_filename(self, filename, batchsize):
"""
根据燃气表图片文件名，获得改燃气表数字区域的数据并返回。主要功能用来预测单张图片数据
:param filename:
"""
if not FileNameUtil.fileExisted(filename):
raise ValueError("%s 文件不存在")
image = cv2.imread(filename)
image = ImageTool.getGasmeterAreaData(image)
image = cv2.resize(image, (self._picBoxWidth, self._picBoxHeight))
image = np.array(image, dtype=np.float32).flatten()
image = image.reshape((-1, image.shape[0]))
batch_x = np.repeat(image, batchsize, 0)
return batch_x
def showGasmeterArea(imgobj, filename=None):
"""
显示获得的图片区域，自己对原始图片进行了处理，看到的图片大小跟原始图片不一样
:param imgobj:通过cv2 读进来的图像对象
:param filename: 要处理的原始图片
"""
imgTemp = imgobj.copy()
imgTemp = cv2.cvtColor(imgTemp, cv2.COLOR_BGR2GRAY)
boxCornerPoint = ImageTool.getGasmeterRectBoxCornerPoint(
grayImg=imgTemp)
title = "box area, %s" % FileNameUtil.getFilenameFromFullFilepathname(
filename)
imgTemp = ImageTool.preProcessImage(imgobj)
ImageTool.showBoxInImage(imgTemp, boxCornerPoint, title)
def get_text_and_image(self,
backgroundColor=None,
fontColor=None,
fontSizes=(28, )):
filename = GenImageGasMeterStyle1m2.getRandomFilename()
# print(filename)
captcha_image = Image.open(filename)
captcha_image = ImageTool.imageResizePIL(captcha_image,
self._picBoxWidth,
self._picBoxHeight)
t = FileNameUtil.getFilenameFromFullFilepathname(filename)
captcha_text = t[:5]
if self._imageDepth == 1:
# 将彩色图片转换成灰度图图片
captcha_image = ImageTool.convertImgRGB2Gray(captcha_image)
captcha_image = np.array(captcha_image)
return captcha_text, captcha_image
def testShowInterestAreaDataStyle1():
import platform
imgdirname = ["data", "img", "style1"]
if "Windows" in platform.system():
imgdirname = FileNameUtil.getDirname(
r"D:\chengxu\python\project\digitRecognise\com\huitong\gasMeterv1",
imgdirname)
elif "Linux" in platform.system():
imgdirname = FileNameUtil.getDirname(
r"/home/allen/work/digitRecognise/com/huitong/gasMeterv1",
imgdirname)
pattern = r'.*\.jpg$'
filelist = FileNameUtil.getPathFilenameList(imgdirname, pattern)
redLower, redUpper = ImageTool.getRedColorRangeBGR()
blackLower, blackUpper = ImageTool.getBlackColorRangeBGR()
for filename in filelist:
print(filename)
image = cv2.imread(filename)
image = ImageTool.preProcessImage(image)
cornerPoint = ImageTool.getInterestBoxCornerPointByColor(
image, blackLower, blackUpper)
if cornerPoint is None:
raise ValueError("none black data")
interestImage = ImageTool.getCropImageByBoxCornerPoint(
image, cornerPoint)
shape = interestImage.shape
mid = int(shape[0] / 2)
quarter = int(shape[0] / 4)
upbox = (0, 0, shape[1], mid)
upImage = ImageTool.getCropImageByBox(interestImage, upbox)
title = "box area, %s, digit area,%s" % (
FileNameUtil.getFilenameFromFullFilepathname(filename),
str(upImage.shape))
upImageGray = cv2.cvtColor(upImage, cv2.COLOR_BGR2GRAY)
# equalizeImage = cv2.equalizeHist(upImageGray) # 灰度图像直方图均衡化
# retval,otsuImage = cv2.threshold(equalizeImage,0,255,cv2.THRESH_OTSU) #只支持灰度图像的STSU
shape = upImageGray.shape
box = (70, quarter, 170, shape[0])
splitLineImage = ImageTool.getCropImageByBox(upImageGray, box)
# equalizeImage = cv2.equalizeHist(splitLineImage)
retval, otsuImage = cv2.threshold(splitLineImage, 0, 255,
cv2.THRESH_OTSU)
ImageTool.showImagePIL(upImageGray, title)
# ImageTool.showHistGray(upImageGray,title)
# ImageTool.showImagePIL(equalizeImage,title)
# ImageTool.showHistGray(equalizeImage,title)
# ImageTool.showImagePIL(otsuImage,title)
# ImageTool.showImagePIL(splitLineImage,title)
# ImageTool.showImagePIL(otsuImage, title)
#
otsuImage = cv2.cvtColor(otsuImage, cv2.COLOR_GRAY2BGR)
lower = (250, 250, 250)
upper = (255, 255, 255)
tcorner = ImageTool.getInterestBoxCornerPointByColor(
otsuImage, lower, upper)
ImageTool.showBoxInImageByBoxCornerPoint(otsuImage, tcorner, title)
def testShowInterestAreaDataStyle0():
import platform
imgdirname = ["data", "img", "style0"]
if "Windows" in platform.system():
imgdirname = FileNameUtil.getDirname(
r"D:\chengxu\python\project\digitRecognise\com\huitong\gasMeterv1",
imgdirname)
elif "Linux" in platform.system():
imgdirname = FileNameUtil.getDirname(
r"/home/allen/work/digitRecognise/com/huitong/gasMeterv1",
imgdirname)
pattern = r'.*\.jpg$'
filelist = FileNameUtil.getPathFilenameList(imgdirname, pattern)
bkgLower, bkgUpper = ImageTool.getBlackColorRangeBGR()
redLower, redUpper = ImageTool.getRedColorRangeBGR()
for filename in filelist:
print(filename)
image = cv2.imread(filename)
image = ImageTool.preProcessImage(image)
blackBackgroundBoxCornerPoint = ImageTool.getInterestBoxCornerPointByColor(
image, bkgLower, bkgUpper)
if blackBackgroundBoxCornerPoint is None:
raise ValueError("no color is black")
bkgBox = ImageTool.getBoxFromBoxCorner(blackBackgroundBoxCornerPoint)
bkgimage = ImageTool.getCropImageByBoxCornerPoint(
image, blackBackgroundBoxCornerPoint)
redBoxCornerPoint = ImageTool.getInterestBoxCornerPointByColor(
bkgimage, redLower, redUpper)
if redBoxCornerPoint is not None:
redBox = ImageTool.getBoxFromBoxCorner(redBoxCornerPoint)
box = (0, 0, redBox[0], bkgBox[3] - bkgBox[1])
interestImage = ImageTool.getCropImageByBox(bkgimage, box)
interestImage = ImageTool.imageResize(interestImage, 128, 64)
else:
interestImage = bkgimage
# title = "box area, %s, background" % FileNameUtil.getFilenameFromFullFilepathname(filename)
# bkgimage = cv2.cvtColor(bkgimage,cv2.COLOR_BGR2RGB)
#
# plt.figure()
# plt.title(title)
# plt.imshow(bkgimage)
# plt.show()
title = "box area, %s, digit area,%s" % (
FileNameUtil.getFilenameFromFullFilepathname(filename),
str(interestImage.shape))
grayImage = cv2.cvtColor(interestImage, cv2.COLOR_BGR2GRAY)
plt.figure()
plt.title(title)
plt.imshow(grayImage)
plt.show()
