def to_csv(path):
classNameList = [
"ascending_stair", "descending_stair", "door", "elevator_door"
]
obj = imageRegionOfInterest(path)
valid_images = [".jpg", ".gif", ".png", ".tga", ".jpeg"]
xml_list = []
for filename in os.listdir(path):
name, ext = os.path.splitext(filename)
if ext.lower() not in valid_images:
continue
if (not os.path.exists(os.path.join(path, name + ".txt"))):
continue
obj.setFileImage(filename)
print(filename)
points = obj.loadBoxFromTxt()
if len(points) > 0:
obj.loadFromFile()
for point in points:
iclass = int(point[4])
value = (filename, int(obj.image.shape[1]),
int(obj.image.shape[0]), classNameList[iclass],
int(point[0]), int(point[1]), int(point[2]),
int(point[3]))
xml_list.append(value)
column_name = [
'filename', 'width', 'height', 'class', 'xmin', 'ymin', 'xmax', 'ymax'
]
xml_df = pd.DataFrame(xml_list, columns=column_name)
return xml_df
def run(path, destPath):
margemArea = 0.2
finalSquad = 50
obj = imageRegionOfInterest(path)
valid_images = [".jpg", ".gif", ".png", ".tga", ".jpeg"]
qtd = 0
for filename in os.listdir(path):
name, ext = os.path.splitext(filename)
if ext.lower() not in valid_images:
continue
if (not os.path.exists(os.path.join(path, name + ".txt"))):
continue
obj.setFileImage(filename)
points = obj.loadBoxFromTxt()
if len(points) > 0:
obj.loadFromFile()
boxNumber = 0
for point in points:
name, ext = os.path.splitext(filename)
if margemArea != 0:
obj.extractBoxM(os.path.join(destPath, point[4]),
name + "-" + str(boxNumber) + ext, point,
margemArea, finalSquad)
else:
obj.extractBox(os.path.join(destPath, point[4]),
name + "-" + str(boxNumber) + ext, point)
boxNumber += 1
qtd += 1
def run(pathImages, filePath):
obj = imageRegionOfInterest(pathImages)
filehandle = open(filePath, "r")
while True:
# read a single line
line = filehandle.readline()
if not line:
break
name = line[0:-1]
#print(name)
obj.points.clear()
qtd = int(filehandle.readline())
for i in range(qtd):
box = filehandle.readline().split(' ')
obj.setFileImage(pathImages + name)
obj.setTxtFileName()
obj.loadFromFile()
x1y1 = (int(box[0]), int(box[1]))
x2y2 = (int(box[0]) + int(box[2]), int(box[1]) + int(box[3]))
obj.points.append([x1y1, x2y2, "0"])
obj.savePoints()
def run(image_path, ann_path, classNameList = ["someclass"]):
obj = imageRegionOfInterest(image_path)
valid_images = [".jpg",".gif",".png",".tga",".jpeg"]
#print(image_path)
classes_qtd = []
images_total_qtd = 0
images_without_classes_qtd = 0
xml_list = []
for filename in os.listdir(image_path):
name, ext = os.path.splitext(filename)
if ext.lower() not in valid_images:
continue
images_total_qtd = images_total_qtd + 1
xmlFileName = os.path.join(ann_path,name+".xml")
obj.setFileImage(filename)
obj.loadFromFile()
points = obj.loadBoxFromTxt()
#print(image_path, filename, int(obj.image.shape[1]), int(obj.image.shape[0]))
annotation = root(image_path, filename, int(obj.image.shape[1]), int(obj.image.shape[0]))
if len(points)>0:
for point in points:
annotation.append(instance_to_xml(point, classNameList))
iclass = int(point[4])
while len(classes_qtd) < iclass+1:
classes_qtd.append(0)
classes_qtd[iclass] = classes_qtd[iclass] + 1
else:
images_without_classes_qtd = images_without_classes_qtd + 1
#print(etree.tostring(annotation, pretty_print=True))
print(xmlFileName)
etree.ElementTree(annotation).write(xmlFileName)
print('Successfully converted to xml PASCAL.')
print('Total Images: ', images_total_qtd)
print('Images without classes: ', images_without_classes_qtd)
print('Classes: ')
for q in classes_qtd:
print( q)
return
def searchFolder(image_path, ann_path, classNameList, searchSubdir):
global valid_images
global classes_qtd
global images_total_qtd
global images_without_classes_qtd
global xml_list
print("Folder", image_path)
obj = imageRegionOfInterest(image_path)
for filename in os.listdir(image_path):
if searchSubdir and os.path.isdir(os.path.join(image_path, filename)):
searchFolder(os.path.join(image_path, filename), ann_path,
classNameList, searchSubdir)
name, ext = os.path.splitext(filename)
if ext.lower() not in valid_images:
continue
images_total_qtd = images_total_qtd + 1
xmlFileName = os.path.join(ann_path, name + ".xml")
obj.setFileImage(filename)
obj.loadFromFile()
points = obj.loadBoxFromTxt()
#print(image_path, filename, int(obj.image.shape[1]), int(obj.image.shape[0]))
annotation = root(image_path, filename, int(obj.image.shape[1]),
int(obj.image.shape[0]))
if len(points) > 0:
for point in points:
annotation.append(instance_to_xml(point, classNameList))
iclass = int(point[4])
while len(classes_qtd) < iclass + 1:
classes_qtd.append(0)
classes_qtd[iclass] = classes_qtd[iclass] + 1
else:
images_without_classes_qtd = images_without_classes_qtd + 1
#print(etree.tostring(annotation, pretty_print=True))
print(xmlFileName)
createFolder(os.path.dirname(xmlFileName))
etree.ElementTree(annotation).write(xmlFileName)
return
def searchFolder(image_path, classNameList, searchSubdir):
global valid_images
global classes_qtd
global images_total_qtd
global images_without_classes_qtd
global xml_list
print("Folder", image_path)
obj = imageRegionOfInterest(image_path)
for filename in os.listdir(image_path):
if searchSubdir and os.path.isdir(os.path.join(image_path, filename)):
searchFolder(os.path.join(image_path, filename), classNameList, searchSubdir)
name, ext = os.path.splitext(filename)
if ext.lower() not in valid_images:
continue
print(filename)
images_total_qtd = images_total_qtd + 1
obj.setFileImage(filename)
points = obj.loadBoxFromTxt()
if len(points)>0:
for point in points:
iclass = int(point[4])
while len(classes_qtd) < iclass+1:
classes_qtd.append(0)
classes_qtd[iclass] = classes_qtd[iclass] + 1
else:
images_without_classes_qtd = images_without_classes_qtd + 1
return
def run(path, isFirstEmpty=False, classNumber="0", classNameList=None):
valid_images = [".jpg", ".gif", ".png", ".tga", ".jpeg"]
fileNames = []
firstEmpty = -1
qtd = 0
for filename in os.listdir(path):
name, ext = os.path.splitext(filename)
if ext.lower() not in valid_images:
continue
fileNames.append(filename)
if (firstEmpty == -1
and not os.path.exists(os.path.join(path, name + ".txt"))):
firstEmpty = qtd
qtd += 1
obj = imageRegionOfInterest(path)
obj.isSavePoints = True
obj.pathToSave = path
obj.classNumber = classNumber
obj.classNameList = classNameList
print("Total", qtd)
print("Labeled", firstEmpty)
index = 0
if (isFirstEmpty and firstEmpty != -1):
index = firstEmpty
while index < len(fileNames):
if index < 0:
index = 0
if index == len(fileNames):
index = len(fileNames) - 1
filename = fileNames[index]
print(str(index) + " " + filename)
obj.loadImage(filename)
wait = 10
# keep looping until the 'q' key is pressed
while True:
key = cv2.waitKey(33) & 0xFF
#if key != 255:
# print("Key "+str(key))
# refresh
if key == ord("r"):
print('refresh')
obj.refresh()
# save
elif key == ord("s"):
print('savePoints')
obj.savePoints()
# change Class Number
elif key >= ord("0") and key <= ord("9"):
print('change Class to ' + chr(key))
obj.classNumber = chr(key)
obj.RefreshSelectedClass()
# change Class 0 (' key is left side 1 key)
elif key == ord("'"):
print('change Class to 0')
obj.classNumber = "0"
obj.RefreshSelectedClass()
# next image or spacebar
elif key == ord("n") or key == 32:
print('next image')
obj.savePoints()
index += 1
break
# previus image
elif key == ord("p"):
print('previus image')
obj.savePoints()
index -= 1
break
# box to left
elif key == ord("g"):
print('box to left')
obj.moveLastBox(-1, 0)
# box to right
elif key == ord("h"):
print('box to right')
obj.moveLastBox(1, 0)
# box to up
elif key == ord("y"):
print('box to up')
obj.moveLastBox(0, -1)
# box to down
elif key == ord("b"):
print('box to down')
obj.moveLastBox(0, 1)
# copy last bounding boxes
elif key == ord("c"):
print('copy last bounding boxes')
obj.copyLastBoundingBoxes()
# shift last bounding box
elif key == ord("x"):
print('shift last bounding box')
obj.shiftLastBoundingBox()
# quit
elif key == ord("q") or key == 27 or cv2.getWindowProperty(
filename, 1) + wait == -1:
print('quit')
if len(obj.points) > 0:
obj.savePoints()
return
wait = wait - 1 if wait > 0 else wait
