本文整理汇总了Python中shape.Shape.find_45方法的典型用法代码示例。如果您正苦于以下问题：Python Shape.find_45方法的具体用法？Python Shape.find_45怎么用？Python Shape.find_45使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类shape.Shape的用法示例。
在下文中一共展示了Shape.find_45方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: __init__
# 需要导入模块: from shape import Shape [as 别名]
# 或者: from shape.Shape import find_45 [as 别名]
class Scan:
def __init__(self, file_path):
self.file_path = file_path
self.original_image = Image.open(file_path)
self.original = self.original_image.convert("RGB")
self.data = self.original.load()
self.w, self.h = self.original.size
return
def show(self):
self.original.show()
return
def get_center(self):
self.borders = []
self.border = ImageDraw.Draw(self.original) #"L", (w, w), 255)
for i in xrange(0, self.w):
diff = 0
# XXX Hackone per la mancanza di "bordo" nella parte centrale dell'immagine
if i > 750 and i < (750+600):
continue
for j in xrange(10, self.h, 1):
diff = pix_distance(self.data[i, j], self.data[i, j-10])
if diff > 90:
# XXX Da valutare se è sensata come soglia
# Threshold di distanza euclidea dei colori
# We don't care if out of boundaries
try:
self.border.putpixel((i, j-1), 0)
self.border.putpixel((i, j+1), 0)
except:
pass
if j % 30:
self.borders.append((i, j))
# Coloro su border così da poterlo vedere dopo
self.border.point((i, j), 256)
print "Nella colonna", i, "ho lo stacco a", j
break
print self.borders
print "I've ", len(self.borders), "points for boundary"
self.shape = Shape(self.borders, self.w, self.h)
# Lo disegno in border per controllare
for i in range(5):
for j in range(5):
self.border.point((self.shape.center[0] - i, self.shape.center[1] - j), 0)
self.border.point((self.shape.center[0] + i, self.shape.center[1] - j), 0)
self.border.point((self.shape.center[0] - i, self.shape.center[1] + j), 0)
self.border.point((self.shape.center[0] + i, self.shape.center[1] + j), 0)
return
def draw_45(self):
self.shape.find_45()
self.border.line([self.shape.center, self.shape.x_intersections[0]], fill=256)
self.border.line([self.shape.center, self.shape.x_intersections[1]], fill=256)
return
def unfold(self):
ro_max = self.h/2
ro_min = ro_max/2
theta_min = 3.0/4*pi
theta_max = 1.0/4*pi
theta_delta = theta_min - theta_max
u_x, u_y = int(self.shape.diameter/4), int(ro_max - ro_min)
self.unfolded_image = Image.new("RGB", (u_x, u_y))
self.unfolded_image_data = self.unfolded_image.load()
# Vadi a step pari alla lunghezza in pixel del quarto di diametro
theta_steps = 1.0*(theta_min - theta_max) / u_x
print "Theta steps are", theta_steps
print "Theta max =", theta_max
print "Theta min =", theta_min
print "u_x and u_x are (%.3f, %.3f)" % (u_x, u_y)
for x in xrange(u_x):
#print "Fine ciclo", x
for y in xrange(u_y):
theta, ro = (theta_min - x*theta_steps, ro_max - y)
cp_x, cp_y = (ro * cos(theta), ro * sin(theta))
#print "(%d, %d) is mapped to (%.3f, %.3f) with ro, theta = (%.3f, %3f)" % (x, y, cp_x, cp_y, ro, theta)
cp_x, cp_y = (cp_x + self.shape.center[0], self.shape.center[1] - cp_y)
#print "(%d, %d) is mapped to (%.3f, %.3f) with ro, theta = (%.3f, %3f)" % (x, y, cp_x, cp_y, ro, theta)
#raw_input("")
try:
self.unfolded_image_data[x, y] = self.data[int(cp_x), int(cp_y)]
except:
#print "ERRRORE"
#print "(%d, %d) is mapped to (%.3f, %.3f) with ro, theta = (%.3f, %3f)" % (x, y, cp_x, cp_y, ro, theta)
pass
self.unfolded_image.save("unfolded.png")
#self.unfolded_image.show()
return