def create_drawing(path, orig_data=True, stroke_size=None):
"""
:param path: path to the data file (.txt)
:return: Drawing object.
"""
data = Analyzer.get_data_file(path)
if orig_data:
pic_path = Analyzer.get_pic_path(path)
else:
pic_path = None
return Drawing(Analyzer.get_strokes(data), pic_path, stroke_size)
if pic_path is not None:
return Drawing(Analyzer.get_strokes(data), pic_path, stroke_size)
else:
print("Error: missing data")
def __init__(self):
self.width = 10
self.height = 10
self.checkers_count = 20
self.back_field = Drawing(self.width, self.height, 30)
self.checkers_field = []
self.fill_checkers_field()
print(self.checkers_field[0].x + self.checkers_field[0].y)
self.back_field.draw_checkers(self.checkers_field)
self.back_field.main()
def main():
print("Composite pattern Shapes..")
cir1 = Circle()
cir1.draw("red")
cir2 = Circle()
cir2.draw("blue")
tri1 = Triangle()
tri1.draw("green")
drawing = Drawing()
drawing.add(cir1)
drawing.add(tri1)
drawing.draw("yellow")
drawing.add(cir2)
drawing.draw("orange")
drawing.remove(tri1)
drawing.draw("orange")
def run():
filesets = [
("data/Notre Dame/1_o.jpg", "data/Notre Dame/1_o-featuresmat.mat"),
("data/Notre Dame/2_o.jpg", "data/Notre Dame/2_o-featuresmat.mat"),
# ("data/duda/img_20170130_162706.jpg", "data/duda/img_20170130_162706-featuresmat.mat"),
# ("data/duda/c3bxl_zweaywcbm.jpg", "data/duda/c3bxl_zweaywcbm-featuresmat.mat"),
# ("data/fountain/0000.png", "data/fountain/0000-featuresmat.mat"),
# ("data/fountain/0001.png", "data/fountain/0001-featuresmat.mat"),
# ("data/Mount Rushmore/9021235130_7c2acd9554_o.jpg", "data/Mount Rushmore/9021235130_7c2acd9554_o-featuresmat.mat"),
# ("data/Mount Rushmore/9318872612_a255c874fb_o.jpg","data/Mount Rushmore/9318872612_a255c874fb_o-featuresmat.mat"),
# ("data/Episcopal Gaudi/3743214471_1b5bbfda98_o.jpg", "data/Episcopal Gaudi/3743214471_1b5bbfda98_o-featuresmat.mat"),
# ("data/Episcopal Gaudi/4386465943_8cf9776378_o.jpg", "data/Episcopal Gaudi/4386465943_8cf9776378_o-featuresmat.mat"),
]
for fileset in filesets:
print("=== Files: (%s, %s)" % fileset)
(imageFilename, featureFilename) = fileset
basePath, extPath = os.path.splitext(imageFilename)
sourceImage = sc.ndimage.imread(imageFilename, flatten=True)
drawing = Drawing()
# featuresWithOrientation = siftDescriptor(fileset)
oa = OrientationAssignment()
(featuresWithOrientation2,
featuresWithOrientationToDraw) = oa.compute(sourceImage,
featureFilename)
drawing.drawFeaturesWithOrientations(imageFilename,
basePath + "-with-features.jpg",
featuresWithOrientationToDraw)
# Descripting
fd = FeatureDescripting()
featuresWithDescriptors = fd.compute(sourceImage,
featuresWithOrientation2)
fd.saveFeatureDescriptors(basePath + "-features.mat",
featuresWithDescriptors)
'''
Created on 31 ott 2018
@author: marco
'''
from Drawing import Drawing
from Structure import Structure
dwg = Drawing("panel.dwg")
l = 900
h = 1500
bplst = Structure(dwg, 900, 2100)
bplst.baseStructure()
bplst.basePanel()
dwg.save()
if __name__ == '__main__':
pass
from PolygonParser import PolygonParser
from Drawing import Drawing
from Gooey import Gooey
from DrawingWindow import DrawingWindow
d = Drawing()
p = PolygonParser("tricky_polygon.svg", d)
g = Gooey()
dw = DrawingWindow(d)
dw.zoom = 1.0
g.show(dw)
g.start()
def run():
COMPUTE_ORIENTATION = False
COMPUTE_DESCRIPTION = False
COMPUTE_MATCHING = True
for fileset in filesets:
print("=== Files: (%s, %s)" % (fileset[0][0], fileset[1][0]))
# Loading first image
(imageFilename1, featureFilename1) = fileset[0]
basePath1 = os.path.splitext(imageFilename1)[0]
sourceImage1 = sc.ndimage.imread(imageFilename1, flatten=True)
# Loading second image
(imageFilename2, featureFilename2) = fileset[1]
basePath2 = os.path.splitext(imageFilename2)[0]
sourceImage2 = sc.ndimage.imread(imageFilename2, flatten=True)
drawing = Drawing()
# Orientation assignment of first image
if COMPUTE_ORIENTATION:
oa1 = OrientationAssignment()
(featuresWithOrientation1,
featuresWithOrientationToDraw1) = oa1.compute(
sourceImage1, featureFilename1)
drawing.drawFeaturesWithOrientations(
imageFilename1, basePath1 + "-with-features.jpg",
featuresWithOrientationToDraw1)
# Orientation assignment of second image
if COMPUTE_ORIENTATION:
oa2 = OrientationAssignment()
(featuresWithOrientation2,
featuresWithOrientationToDraw2) = oa2.compute(
sourceImage2, featureFilename2)
drawing.drawFeaturesWithOrientations(
imageFilename2, basePath2 + "-with-features.jpg",
featuresWithOrientationToDraw2)
# Descripting - 1st img
featuresPath1 = basePath1 + "-features.mat"
if COMPUTE_DESCRIPTION:
fd1 = FeatureDescripting()
featuresWithDescriptors1 = fd1.compute(sourceImage1,
featuresWithOrientation1)
fd1.saveFeatureDescriptors(featuresPath1, featuresWithDescriptors1)
# Descripting - 2nd img
featuresPath2 = basePath2 + "-features.mat"
if COMPUTE_DESCRIPTION:
fd2 = FeatureDescripting()
featuresWithDescriptors2 = fd2.compute(sourceImage2,
featuresWithOrientation2)
fd2.saveFeatureDescriptors(featuresPath2, featuresWithDescriptors2)
# Matching
if COMPUTE_MATCHING:
fm = FeatureMatching()
fm.compute(fileset[0][0], fileset[1][0], featuresPath1,
featuresPath2)
fm.drawTopMatches(basePath1 + "-matches.jpg", amount=60)
if fileset[2]:
fm.verify(fileset[2])
def loss_plot():
drawing = Drawing()
drawing.draw_loss_plot()
def accuracy_plot():
"""Rysuje wykres pokazujący stopień dokładności przewidywań sieci"""
drawing = Drawing()
drawing.draw_accuracy_plot()
