我正在研究 Python 2.7。我必须在图片上定义一些感兴趣区域 (AoI)。基本上,我试图在图片的特定部分上绘制一个椭圆(或更多)并获取其轮廓的坐标(x;y)。我想将这些坐标保存在文件中,以便稍后使用它们来查看我的数据是否在该区域内。
这是我的代码:
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.patches import Ellipse, Circle
from matplotlib.path import Path
# Get an example image
img = imread('sposa.png')
# Create a figure. Equal aspect so circles look circular
fig,ax = plt.subplots(1)
ax.set_aspect('equal')
# Show the image
ax.imshow(img)
ax.set_xlim(0,1600)
ax.set_ylim(0,1200)
# Now, loop through coord arrays, and create a circle at each x,y pair
ellipse = Ellipse((1000, 400), width=400, height=100, edgecolor='white',facecolor='none',linewidth=2)
ax.add_patch(ellipse)
path = ellipse.get_path()
# Show the image
plt.show()
当我运行代码时,我得到了这个(这正是我想要的):
但是,当我打印路径以检查它时,我得到以下输出,(我认为)它与椭圆完全相关。
Path(array([[ 0. , -1. ],
[ 0.2652031 , -1. ],
[ 0.51957987, -0.89463369],
[ 0.70710678, -0.70710678],
[ 0.89463369, -0.51957987],
[ 1. , -0.2652031 ],
[ 1. , 0. ],
[ 1. , 0.2652031 ],
[ 0.89463369, 0.51957987],
[ 0.70710678, 0.70710678],
[ 0.51957987, 0.89463369],
[ 0.2652031 , 1. ],
[ 0. , 1. ],
[-0.2652031 , 1. ],
[-0.51957987, 0.89463369],
[-0.70710678, 0.70710678],
[-0.89463369, 0.51957987],
[-1. , 0.2652031 ],
[-1. , 0. ],
[-1. , -0.2652031 ],
[-0.89463369, -0.51957987],
[-0.70710678, -0.70710678],
[-0.51957987, -0.89463369],
[-0.2652031 , -1. ],
[ 0. , -1. ],
[ 0. , -1. ]]), array([ 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 4, 4, 4, 4, 79], dtype=uint8))
但是,我需要一个椭圆相对于图片像素 (1600 X 1200) 的坐标列表。我可能使用了错误的函数,或者图片和椭圆之间存在不匹配的内容。
我应该得到这样的东西(这是之前实验的一个例子):
[ Path(array([[ 1599. , 868.86791294],
[ 1598. , 868.87197971],
[ 1597. , 868.8801087 ],
...,
[ 1597. , 675.30378536],
[ 1598. , 675.31373204],
[ 1599. , 675.31870792]]), None)]
665
有人可以帮助我吗? 先感谢您,
最佳答案
您应该使用Ellipse.get_path().vertices
,但它不在正确的坐标系中。要对其进行转换,请对其应用ellipse.get_patch_transform().transform
。请参阅下面的工作示例
import matplotlib.pyplot as plt
from matplotlib.patches import Ellipse
from matplotlib.path import Path
from matplotlib.patches import PathPatch
img = plt.imread("image.jpg")
fig, ax = plt.subplots(1)
ax.set_aspect('equal')
ax.imshow(img)
# Create the base ellipse
ellipse = Ellipse((300, 300), width=400, height=100,
edgecolor='white', facecolor='none', linewidth=2)
# Get the path
path = ellipse.get_path()
# Get the list of path vertices
vertices = path.vertices.copy()
# Transform the vertices so that they have the correct coordinates
vertices = ellipse.get_patch_transform().transform(vertices)
# You can then save the vertices array to a file: csv, pickle... It's up to you
plt.show()
关于python - 在图形上绘制椭圆并获取坐标_Python,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/48670760/