本文整理汇总了Python中SimpleCV.Image.getPIL方法的典型用法代码示例。如果您正苦于以下问题：Python Image.getPIL方法的具体用法？Python Image.getPIL怎么用？Python Image.getPIL使用的例子？那么, 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SimpleCV.Image的用法示例。
在下文中一共展示了Image.getPIL方法的2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: on_image
# 需要导入模块: from SimpleCV import Image [as 别名]
# 或者: from SimpleCV.Image import getPIL [as 别名]
def on_image(self, data):
print 'Image Received'
imgstr = re.search(r'base64,(.*)', data).group(1) #This is a hack to clean up the encoding.
tempimg = StringIO.StringIO(imgstr.decode('base64'))
pilimg = PILImage.open(tempimg)
img = Image(pilimg)
img = img.edges()
pimg = img.getPIL()
output = StringIO.StringIO()
pimg.save(output, format='JPEG')
sendstr = 'data:image/jpeg;base64,' + output.getvalue().encode('base64')
self.emit('update', sendstr)示例2: fancify
# 需要导入模块: from SimpleCV import Image [as 别名]
# 或者: from SimpleCV.Image import getPIL [as 别名]
#.........这里部分代码省略.........
bottom_of_nose = y_nose + (nose.height() * 4 / 5)
top_of_mouth = y_mouth
# if top_of_mouth > bottom_of_nose:
# top_of_mouth = bottom_of_nose
y_must = y_face + ((bottom_of_nose + top_of_mouth) / 2) - (cur_stache.height / 2)
middle_of_nose = nose.x
middle_of_mouth = mouth.x
x_must = x_face + ((middle_of_nose + middle_of_mouth) / 2) - (cur_stache.width / 2)
if right_eye:
x_right_eye = right_eye.x - (right_eye.width() / 2)
y_right_eye = right_eye.y - (right_eye.height() / 2)
# Setup Monocle Image
cur_mono = monocle.copy()
scale_factor = ((right_eye.width() / 65.0) + (face.width() / 200.0)) / 2.0
cur_mono = cur_mono.scale(scale_factor)
mono_mask = cur_mono.createAlphaMask(hue_lb=0, hue_ub=100).invert()
# Calculate Monocle Position
x_mono = x_face + x_right_eye
y_mono = y_face + y_right_eye
img = img.blit(cur_mono, pos=(x_mono, y_mono), alphaMask=mono_mask)
img = img.blit(cur_stache, pos=(x_must, y_must), alphaMask=stache_mask)
if debug:
noselayer = DrawingLayer((img.width, img.height))
nosebox_dimensions = (nose.width(), nose.height())
center_point = (face.x - (face.width() / 2) + nose.x,
face.y - (face.height() / 2) + nose.y)
nosebox = noselayer.centeredRectangle(center_point, nosebox_dimensions, width=3)
img.addDrawingLayer(noselayer)
img = img.applyLayers()
else:
print "Face culled:"
if not nose:
print " No Nose"
if not mouth:
print " No mouth"
if not right_eye:
print " No right eye"
print
if debug:
face_left_edge = face.x - (face.width() / 2)
face_top_edge = face.y - (face.height() / 2)
facelayer = DrawingLayer((img.width, img.height))
facebox_dimensions = (face.width(), face.height())
center_point = (face.x, face.y)
facebox = facelayer.centeredRectangle(center_point, facebox_dimensions, Color.BLUE)
img.addDrawingLayer(facelayer)
if noses:
for nose in noses:
noselayer = DrawingLayer((img.width, img.height))
nosebox_dimensions = (nose.width(), nose.height())
center_point = (face.x - (face.width() / 2) + nose.x,
face.y - (face.height() / 2) + nose.y)
nosebox = noselayer.centeredRectangle(center_point, nosebox_dimensions)
img.addDrawingLayer(noselayer)
if mouths:
for mouth in mouths:
mouthlayer = DrawingLayer((img.width, img.height))
mouthbox_dimensions = (mouth.width(), mouth.height())
center_point = (face.x - (face.width() / 2) + mouth.x,
face.y - (face.height() / 2) + mouth.y)
mouthbox = mouthlayer.centeredRectangle(center_point, mouthbox_dimensions, Color.GREEN)
img.addDrawingLayer(mouthlayer)
if eyes:
for right_eye in eyes:
right_eyelayer = DrawingLayer((img.width, img.height))
right_eyebox_dimensions = (right_eye.width(), right_eye.height())
right_eye_center_point = (face_left_edge + right_eye.x, face_top_edge + right_eye.y)
right_eyebox = right_eyelayer.centeredRectangle(right_eye_center_point, right_eyebox_dimensions)
img.addDrawingLayer(right_eyelayer)
img = img.applyLayers()
img = img.scale(0.5)
w_ratio = img.width / 800.0
h_ratio = img.height / 600.0
if h_ratio > 1.0 or w_ratio > 1.0:
if h_ratio > w_ratio:
img = img.resize(h=600)
else:
img = img.resize(w=800)
output = StringIO.StringIO()
img.getPIL().save(output, format="JPEG") #, quality=85, optimize=True)
img_contents = output.getvalue()
mimetype = "image/jpeg"
return app.response_class(img_contents, mimetype=mimetype, direct_passthrough=False)