本文整理汇总了Python中PIL.ImageDraw.Draw.ellipse方法的典型用法代码示例。如果您正苦于以下问题：Python Draw.ellipse方法的具体用法？Python Draw.ellipse怎么用？Python Draw.ellipse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PIL.ImageDraw.Draw的用法示例。
在下文中一共展示了Draw.ellipse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: generate_captcha
# 需要导入模块: from PIL.ImageDraw import Draw [as 别名]
# 或者: from PIL.ImageDraw.Draw import ellipse [as 别名]
def generate_captcha(directory="tmp", letters=ascii_uppercase+digits,
length=3, font_size=30, lines=5, mode="ellipse", font="FreeSerif.ttf"):
""" Returns a tuple : (path, code) """
dimensions = ((length + 1) * font_size, int(font_size * 2))
path = "%s%s" % (os.path.join(directory, "".join(choice(ascii_letters) for
i in xrange(7))), ".png")
code = "".join(choice(letters) for i in range(length))
background_color = tuple( [randrange(190, 230) for i in xrange(3)] )
master = new_image("RGB", dimensions, background_color)
# On colle les lettres
for i, l in enumerate(code):
img, mask = generate_letter(l, font_size, font)
for _ in xrange(3):
# On colle plusieurs fois pour plus de netteté
master.paste(img, (font_size / 2 + font_size * i , font_size / 3),
mask)
# Et on dessine quelques jolies lignes
draw = Draw(master)
for i in xrange(lines):
color = tuple( [randrange(128, 190) for i in xrange(3)] )
#pen = Pen("black", opacity=64)
#pen.color = color
w = dimensions[0]
h = dimensions[1]
geom = (randrange(0, int(w * 3. / 4)), randrange(0, h),
randrange(int(w * 1. / 4), w), randrange(0, h))
if mode == "mixed":
mode_ = choice( ("ellipse", "line") )
else:
mode_ = mode
if mode_ == "ellipse":
draw.ellipse(geom, None, color)
else:
draw.line(geom, color, 1)
with open(path, "w") as f:
master.save(f)
return (path, code)示例2: make_sure_path_exists
# 需要导入模块: from PIL.ImageDraw import Draw [as 别名]
# 或者: from PIL.ImageDraw.Draw import ellipse [as 别名]
make_sure_path_exists(overlay_path)
# Superimpose smoothed midlines on the (cropped) original image sequence
for i in range(Nf):
shift = -offsets[i]
# im = Image.open(original_images.format(i+1))
# im = im.crop((0, 680, 2260, 680+810))
im = open_png(sillhouette_path.format(i+1))
im = Image.fromarray(im.astype(np.uint8)).convert('RGB')
d = Draw(im)
y = smid[:,i].astype(int)+shift[1]
x = (np.arange(smid.shape[0])*end[i]/float(smid.shape[0]-1)).astype(int)+shift[0]
d.line(zip(x,y), fill=(255,0,0), width=3 )
tp = tip_locations[i]
d.ellipse((tp[0]-1, tp[1]-1, tp[0]+1, tp[1]+1), fill=(0,0,255))
im.save(overlay_path+'orig_{}.png'.format(i))
# Calculate scaling between transformed and y-coordinate
# in pixels - dy/di
sc = end / float(smid.shape[0]-1)
# Evaluate derivatives of the smoothed midline - dx/dy and d^2 x / dy^2
# Use scaling factor to give in terms of pixel coordinates
d = u(range(new_mid.shape[0]), range(new_mid.shape[1]), dx=1)/sc
dd = u(range(new_mid.shape[0]), range(new_mid.shape[1]), dx=2)/sc/sc
# Calculate distance
# ds = ds / di. Use d^2 d/dy^2 = 1 + (dx/dy)^2 and dy/di = sc