CODEWITHSUNDEEP
pythonnumpymatplotlibplotimshow
orkan
orkan

Reputation: 522

Drawing circles on image with Matplotlib and NumPy

I have NumPy arrays which hold circle centers.

import matplotlib.pylab as plt
import numpy as np
npX = np.asarray(X)
npY = np.asarray(Y)
plt.imshow(img)
// TO-DO
plt.show()

How can I show circles at the given positions on my image?

Upvotes: 24

Views: 57191

Answers (2)

user1953366
user1953366

Reputation: 1611

To get the image, instead of plt.show do (Without saving to disc one can get it as):

io_buf = io.BytesIO()
fig.savefig(io_buf, format='raw')#dpi=36)#DPI)
io_buf.seek(0)
img_arr = np.reshape(np.frombuffer(io_buf.getvalue(), dtype=np.uint8),
                         newshape=(int(fig.bbox.bounds[3]), int(fig.bbox.bounds[2]), -1))
io_buf.close()
plt.close()  #To not display the image

Upvotes: 0

tmdavison
tmdavison

Reputation: 69116

You can do this with the matplotlib.patches.Circle patch.

For your example, we need to loop through the X and Y arrays, and then create a circle patch for each coordinate.

Here's an example placing circles on top of an image (from the matplotlib.cbook)

import matplotlib.pyplot as plt
import numpy as np
from matplotlib.patches import Circle

# Get an example image
import matplotlib.cbook as cbook
image_file = cbook.get_sample_data('grace_hopper.png')
img = plt.imread(image_file)

# Make some example data
x = np.random.rand(5)*img.shape[1]
y = np.random.rand(5)*img.shape[0]

# Create a figure. Equal aspect so circles look circular
fig,ax = plt.subplots(1)
ax.set_aspect('equal')

# Show the image
ax.imshow(img)

# Now, loop through coord arrays, and create a circle at each x,y pair
for xx,yy in zip(x,y):
    circ = Circle((xx,yy),50)
    ax.add_patch(circ)

# Show the image
plt.show()

enter image description here

Upvotes: 41

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