def __init__(self):
AlgorithmProvider.__init__(self)
self.alglist = [SumLines(), PointsInPolygon(),
PointsInPolygonWeighted(), PointsInPolygonUnique(),
BasicStatisticsStrings(), BasicStatisticsNumbers(),
NearestNeighbourAnalysis(), MeanCoords(),
LinesIntersection(), UniqueValues(), PointDistance(),
ReprojectLayer(), ExportGeometryInfo(), Centroids(),
Delaunay(), VoronoiPolygons(), SimplifyGeometries(),
DensifyGeometries(), DensifyGeometriesInterval(),
MultipartToSingleparts(), SinglePartsToMultiparts(),
PolygonsToLines(), LinesToPolygons(), ExtractNodes(),
Eliminate(), ConvexHull(), FixedDistanceBuffer(),
VariableDistanceBuffer(), Dissolve(), Difference(),
Intersection(), Union(), Clip(), ExtentFromLayer(),
RandomSelection(), RandomSelectionWithinSubsets(),
SelectByLocation(), RandomExtract(),
RandomExtractWithinSubsets(), ExtractByLocation(),
SpatialJoin(), RegularPoints(), SymetricalDifference(),
VectorSplit(), VectorGrid(), DeleteColumn(),
DeleteDuplicateGeometries(), TextToFloat(),
ExtractByAttribute(), SelectByAttribute(), Grid(),
Gridify(), HubDistance(), HubLines(), Merge(),
GeometryConvert(), AddTableField(), FieldsCalculator(),
SaveSelectedFeatures(), JoinAttributes(),
AutoincrementalField(), Explode(), FieldsPyculator(),
EquivalentNumField(), PointsLayerFromTable(),
StatisticsByCategories(), ConcaveHull(), Polygonize(),
RasterLayerStatistics(), PointsDisplacement(),
ZonalStatistics(), PointsFromPolygons(),
PointsFromLines(), RandomPointsExtent(),
RandomPointsLayer(), RandomPointsPolygonsFixed(),
RandomPointsPolygonsVariable(),
RandomPointsAlongLines(), PointsToPaths(),
PostGISExecuteSQL(), ImportIntoPostGIS(),
SetVectorStyle(), SetRasterStyle(),
SelectByExpression(), HypsometricCurves(),
# ------ raster ------
# CreateConstantRaster(),
# ------ graphics ------
# VectorLayerHistogram(), VectorLayerScatterplot(),
# RasterLayerHistogram(), MeanAndStdDevPlot(),
# BarPlot(), PolarPlot()
]
folder = os.path.join(os.path.dirname(__file__), 'scripts')
scripts = ScriptUtils.loadFromFolder(folder)
for script in scripts:
script.allowEdit = False
self.alglist.extend(scripts)
for alg in self.alglist:
alg._icon = self._icon
def execute(arg1, arg2):
# if both args are 0, the result will be -128 otherwise it is the Difference
# The idea is that the args treat 0 as NaN so we treat -128 as NaN
# Byte data and NaN don't mix any better than this.
return where(logical_and(arg1 == 0, arg2 == 0), int8(-128),
Difference(arg1, arg2))
def main(threshold, Video, Map):
s = time.time()
images = []
counter = 0
pos = []
y = []
d = 1
current = os.getcwd()
warnings.filterwarnings("ignore")
Map1 = Map
h1, w1 = Map.shape[:2]
img1 = cv2.cvtColor(Map, cv2.COLOR_BGR2GRAY)
while True:
ret, frame = Video.read()
if ret:
if counter % 10 == 0:
images.append(frame)
counter = counter + 1
else:
break
for loop in range(0, len(images) + 1, 1):
try:
d = loop
start = time.time()
orig_image = images[loop]
orig_gray = cv2.cvtColor(orig_image, cv2.COLOR_BGR2GRAY)
extracted_img, y_cord = img_ex(img1, orig_gray)
transformed_img, theta = transform(orig_gray, extracted_img)
Diff = Difference(transformed_img, orig_gray, threshold)
Result_img, Map, x_map, y_map = Draw(Diff, transformed_img,
orig_image, Map,
extracted_img, y_cord, theta)
if (np.shape(Result_img) != (0, )):
filename = current + "/Result_Images/difference_img_%d.jpg" % d
cv2.imwrite(filename, Result_img)
end = time.time()
t = end - start
print('Time taken by Image %d:' % d, t)
print(' ')
'''position = x_map, y_map, theta, d
if not os.path.isfile('points.txt'):
file = open("points.txt", 'w')
else:
file = open("points.txt", 'a')
file.write(str(position[0]))
file.write(',')
file.write(str(position[1]))
file.write(',')
file.write(str(position[2]))
file.write(',')
file.write(str(position[3]))
file.write('\n')
file.close()'''
else:
end = time.time()
t = end - start
print('Time taken by Image %d:' % d, t)
print(' ')
except:
print('Skipped')
filename = current + "/Result_Images/Map.jpg"
cv2.imwrite(filename, Map1)
print('Total Time:', (time.time() - s))
def subtract(blank, tool):
from Difference import Difference
return Difference(blank, tool)
def main(imagePaths, Map):
s = time.time()
images = []
counter = 0
d = 1
for imagePath in imagePaths:
image = cv2.imread(imagePath)
images.append(image)
counter = counter + 1
Map1 = Map
img1 = cv2.cvtColor(Map, cv2.COLOR_BGR2GRAY)
h, w = Map.shape[:2]
for loop in range(0, counter, 1):
try:
start = time.time()
image2 = images[loop]
img2 = cv2.cvtColor(image2, cv2.COLOR_BGR2GRAY)
extracted_img, y = img_ex(img1, img2, 0)
transformed_img, angle = transform(img2, extracted_img, y)
filename = "C:\\Users\\ubaid\\AppData\\Local\\Programs\\Python\\Python37\\CodesandImages\\FYPFinalCode\\Result_Images\\extracted&transformed_img_%d.jpg" % d
cv2.imwrite(filename, transformed_img)
Diff = Difference(transformed_img, img2)
Resultant_img, Resultant_img1, Map1 = Draw(Diff, transformed_img,
image2, Map1, angle)
if (np.shape(Resultant_img) != (0, ) or np.shape(Resultant_img1) !=
(0, )):
filename = "C:\\Users\\ubaid\\AppData\\Local\\Programs\\Python\\Python37\\CodesandImages\\FYPFinalCode\\Result_Images\\difference_img_%d.jpg" % d
cv2.imwrite(filename, Resultant_img)
filename = "C:\\Users\\ubaid\\AppData\\Local\\Programs\\Python\\Python37\\CodesandImages\\FYPFinalCode\\Result_Images\\difference_orig_img_%d.jpg" % d
cv2.imwrite(filename, Resultant_img1)
cv2.imwrite(
"C:\\Users\\ubaid\\AppData\\Local\\Programs\\Python\\Python37\\CodesandImages\\FYPFinalCode\\Result_Images\\Difference_on_Map.jpg",
Map1)
end = time.time()
t = end - start
print('Time taken by Image %d:' % d, t)
d = d + 1
else:
end = time.time()
t = end - start
print('Time taken by Image %d:' % d, t)
d = d + 1
except:
try:
image2 = images[loop]
img2 = cv2.cvtColor(image2, cv2.COLOR_BGR2GRAY)
extracted_img, y = img_ex(img1, img2, 1)
transformed_img, angle = transform(img2, extracted_img, y)
filename = "C:\\Users\\ubaid\\AppData\\Local\\Programs\\Python\\Python37\\CodesandImages\\FYPFinalCode\\Result_Images\\extracted&transformed_img_%d.jpg" % d
cv2.imwrite(filename, transformed_img)
Diff = Difference(transformed_img, img2)
Resultant_img, Resultant_img1, Map1 = Draw(
Diff, transformed_img, image2, Map1, angle)
if (np.shape(Resultant_img) != (0, )
or np.shape(Resultant_img1) != (0, )):
filename = "C:\\Users\\ubaid\\AppData\\Local\\Programs\\Python\\Python37\\CodesandImages\\FYPFinalCode\\Result_Images\\difference_img_%d.jpg" % d
cv2.imwrite(filename, Resultant_img)
filename = "C:\\Users\\ubaid\\AppData\\Local\\Programs\\Python\\Python37\\CodesandImages\\FYPFinalCode\\Result_Images\\difference_orig_img_%d.jpg" % d
cv2.imwrite(filename, Resultant_img1)
cv2.imwrite(
"C:\\Users\\ubaid\\AppData\\Local\\Programs\\Python\\Python37\\CodesandImages\\FYPFinalCode\\Result_Images\\Difference_on_Map.jpg",
Map1)
end = time.time()
t = end - start
print('Time taken by Image %d:' % d, t)
d = d + 1
else:
end = time.time()
t = end - start
print('Time taken by Image %d:' % d, t)
d = d + 1
except:
print('Skipped')
print('Total Time:', (time.time() - s))
return
def __init__(self):
AlgorithmProvider.__init__(self)
self._icon = QIcon(os.path.join(pluginPath, 'images', 'qgis.png'))
self.alglist = [
SumLines(),
PointsInPolygon(),
PointsInPolygonWeighted(),
PointsInPolygonUnique(),
BasicStatisticsStrings(),
BasicStatisticsNumbers(),
NearestNeighbourAnalysis(),
MeanCoords(),
LinesIntersection(),
UniqueValues(),
PointDistance(),
ReprojectLayer(),
ExportGeometryInfo(),
Centroids(),
Delaunay(),
VoronoiPolygons(),
SimplifyGeometries(),
DensifyGeometries(),
DensifyGeometriesInterval(),
MultipartToSingleparts(),
SinglePartsToMultiparts(),
PolygonsToLines(),
LinesToPolygons(),
ExtractNodes(),
Eliminate(),
ConvexHull(),
FixedDistanceBuffer(),
VariableDistanceBuffer(),
Dissolve(),
Difference(),
Intersection(),
Union(),
Clip(),
ExtentFromLayer(),
RandomSelection(),
RandomSelectionWithinSubsets(),
SelectByLocation(),
RandomExtract(),
DeleteHoles(),
RandomExtractWithinSubsets(),
ExtractByLocation(),
SpatialJoin(),
RegularPoints(),
SymmetricalDifference(),
VectorSplit(),
VectorGrid(),
DeleteColumn(),
DeleteDuplicateGeometries(),
TextToFloat(),
ExtractByAttribute(),
SelectByAttribute(),
Grid(),
Gridify(),
HubDistance(),
HubLines(),
Merge(),
GeometryConvert(),
AddTableField(),
FieldsCalculator(),
SaveSelectedFeatures(),
JoinAttributes(),
AutoincrementalField(),
Explode(),
FieldsPyculator(),
EquivalentNumField(),
PointsLayerFromTable(),
StatisticsByCategories(),
ConcaveHull(),
RasterLayerStatistics(),
PointsDisplacement(),
ZonalStatistics(),
PointsFromPolygons(),
PointsFromLines(),
RandomPointsExtent(),
RandomPointsLayer(),
RandomPointsPolygonsFixed(),
RandomPointsPolygonsVariable(),
RandomPointsAlongLines(),
PointsToPaths(),
PostGISExecuteSQL(),
ImportIntoPostGIS(),
SetVectorStyle(),
SetRasterStyle(),
SelectByExpression(),
HypsometricCurves(),
SplitLinesWithLines(),
CreateConstantRaster(),
FieldsMapper(),
SelectByAttributeSum(),
Datasources2Vrt(),
CheckValidity(),
OrientedMinimumBoundingBox(),
Smooth(),
ReverseLineDirection()
]
if hasMatplotlib:
from VectorLayerHistogram import VectorLayerHistogram
from RasterLayerHistogram import RasterLayerHistogram
from VectorLayerScatterplot import VectorLayerScatterplot
from MeanAndStdDevPlot import MeanAndStdDevPlot
from BarPlot import BarPlot
from PolarPlot import PolarPlot
self.alglist.extend([
VectorLayerHistogram(),
RasterLayerHistogram(),
VectorLayerScatterplot(),
MeanAndStdDevPlot(),
BarPlot(),
PolarPlot(),
])
if hasShapely:
from Polygonize import Polygonize
self.alglist.extend([Polygonize()])
if QGis.QGIS_VERSION_INT >= 21400:
from ExecuteSQL import ExecuteSQL
self.alglist.extend([ExecuteSQL()])
folder = os.path.join(os.path.dirname(__file__), 'scripts')
scripts = ScriptUtils.loadFromFolder(folder)
for script in scripts:
script.allowEdit = False
self.alglist.extend(scripts)
for alg in self.alglist:
alg._icon = self._icon
def main(Video, Map):
s = time.time()
images = []
counter = 0
d = 1
old_d = 7340
while True:
ret, frame = Video.read()
if ret:
if counter % 10 == 0:
images.append(frame)
counter = counter + 1
else:
break
Map1 = Map
img1 = cv2.cvtColor(Map, cv2.COLOR_BGR2GRAY)
h, w = Map.shape[:2]
for loop in range(0, counter, 1):
try:
start = time.time()
image2 = images[loop]
img2 = cv2.cvtColor(image2, cv2.COLOR_BGR2GRAY)
extracted_img, y = img_ex(img1, img2)
try:
transformed_img, angle = transform(img2, extracted_img, y)
except:
print('Old Patch:', old_d)
transformed_img, angle = transform(img2, extracted_img, old_d)
y = old_d
filename = "B:\\Users\\ubaid\\AppData\\Local\\Programs\\Python\\Python37\\CodesandImages\\FYPFinalCode\\Result_Images\\extracted&transformed_img_%d.jpg" % d
cv2.imwrite(filename, transformed_img)
Diff = Difference(transformed_img, img2)
Resultant_img, Resultant_img1, Map1 = Draw(Diff, transformed_img,
image2, Map1, angle)
if (np.shape(Resultant_img) != (0, ) or np.shape(Resultant_img1) !=
(0, )):
filename = "B:\\Users\\ubaid\\AppData\\Local\\Programs\\Python\\Python37\\CodesandImages\\FYPFinalCode\\Result_Images\\difference_img_%d.jpg" % d
cv2.imwrite(filename, Resultant_img)
filename = "B:\\Users\\ubaid\\AppData\\Local\\Programs\\Python\\Python37\\CodesandImages\\FYPFinalCode\\Result_Images\\difference_orig_img_%d.jpg" % d
cv2.imwrite(filename, Resultant_img1)
cv2.imwrite(
"B:\\Users\\ubaid\\AppData\\Local\\Programs\\Python\\Python37\\CodesandImages\\FYPFinalCode\\Result_Images\\Difference_on_Map.jpg",
Map1)
end = time.time()
t = end - start
print('Time taken by Image %d:' % d, t)
d = d + 1
old_d = y
else:
end = time.time()
t = end - start
print('Time taken by Image %d:' % d, t)
d = d + 1
except:
print('Skipped')
print('Total Time:', (time.time() - s))
return
