本文整理汇总了Python中PIL.Image.PERSPECTIVE属性的典型用法代码示例。如果您正苦于以下问题：Python Image.PERSPECTIVE属性的具体用法？Python Image.PERSPECTIVE怎么用？Python Image.PERSPECTIVE使用的例子？那么恭喜您, 这里精选的属性代码示例或许可以为您提供帮助。您也可以进一步了解该属性所在类PIL.Image的用法示例。
在下文中一共展示了Image.PERSPECTIVE属性的4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: _paste_donor_on_recipient
# 需要导入模块: from PIL import Image [as 别名]
# 或者: from PIL.Image import PERSPECTIVE [as 别名]
def _paste_donor_on_recipient(
recipient_face: face_detect.Face,
recipient_image: Image,
donor_face: face_detect.Face,
donor_image: Image) -> Image:
get_coords = lambda face: [c.xy() for c in [face.left_eye, face.right_eye, face.mouth_left, face.mouth_right]]
donor_coords = get_coords(donor_face)
recipient_coords = get_coords(recipient_face)
coefficients = _find_coeffs(recipient_coords, donor_coords)
warped_donor = donor_image.transform(
recipient_image.size, Image.PERSPECTIVE, coefficients, Image.BICUBIC)
working_recipient = recipient_image.copy()
working_recipient.paste(warped_donor, (0, 0), warped_donor)
return working_recipient
# Adapted from https://stackoverflow.com/questions/14177744/how-does-perspective-transformation-work-in-pil. 示例2: transform
# 需要导入模块: from PIL import Image [as 别名]
# 或者: from PIL.Image import PERSPECTIVE [as 别名]
def transform(startpoints, endpoints, im):
'''Perform a perspective transformation on an image where startpoints are moved to endpoints, and the image is streched accordingly.'''
width, height = im.size
coeffs = find_coeffs(endpoints, startpoints)
im = im.transform((width, height), Image.PERSPECTIVE, coeffs, Image.BICUBIC)
return im 示例3: __call__
# 需要导入模块: from PIL import Image [as 别名]
# 或者: from PIL.Image import PERSPECTIVE [as 别名]
def __call__(self, img, mask):
width, height = img.size
a = self.scale * (random.random() - 0.5) + 1
b = self.scale * (random.random() - 0.5)
c = self.scale * (random.random() - 0.5)
d = self.scale * (random.random() - 0.5)
e = self.scale * (random.random() - 0.5) + 1
f = self.scale * (random.random() - 0.5)
g = self.scale / width * (random.random() - 0.5)
h = self.scale / height * (random.random() - 0.5)
coeffs = np.array([a, b, c, d, e, f, g, h])
return img.transform((width, height), Image.PERSPECTIVE, coeffs, Image.BICUBIC), mask.transform(
(width, height), Image.PERSPECTIVE, coeffs, Image.NEAREST) 示例4: drawTerminal
# 需要导入模块: from PIL import Image [as 别名]
# 或者: from PIL.Image import PERSPECTIVE [as 别名]
def drawTerminal(text, fontsize):
"""Compose an img made of a pseudo-terminal interface,
with print outs of text and a background from the main video"""
black = (16,16,16)
light = (150,210,150)
white = (190,210,230)
x,y=(695,500)
font_title = ImageFont.truetype("COURIER.TTF",15)
font_text = ImageFont.truetype("COURIER.TTF",fontsize)
img=Image.new("RGBA", (x,y),black)
draw = ImageDraw.Draw(img)
draw.rectangle(((4,4),(x-5,y-5)), outline = light)
draw.rectangle(((5,5),(x-5,y-5)), outline = white)
draw.rectangle(((9,9),(x-10,30)), outline = light)
draw.rectangle(((10,10),(x-10,30)), outline = white)
draw.text((11, 15),' GIFOLATINE 3000 V1.337 - By 1-Sisyphe',light,
font=font_title)
draw.text((12, 16),' GIFOLATINE 3000 V1.337 - By 1-Sisyphe',white,
font=font_title)
draw.text((x-50, 15),'X O',white,font=font_title)
draw.multiline_text((10, 40),text,light,font=font_text)
draw.multiline_text((11, 41),text,white,font=font_text)
new_size = (800, 800)
new_im = Image.new("RGBA", new_size)
new_im.paste(img,(0,100))
coeffs = find_coeffs(
[(0, 0), (x, 0), (x, y), (0, y)],
[(0, 0), (x, 50), (x, 450), (0, y)])
img = new_im.transform(new_size, Image.PERSPECTIVE, coeffs,
Image.BICUBIC)
img = img.rotate(0.5, resample=Image.BICUBIC)
img_finale = Image.open('temp/background.png')
img_finale.paste(img,(340,-75),img)
return img_finale