I would like to get the bounding box (dimensions) around some text in a matplotlib figure. The post here, helped me realize that I can use the method text.get_window_
Here is my solution/hack. @tcaswell suggested I look at how matplotlib handles saving figures with tight bounding boxes. I found the code for backend_bases.py on Github, where it saves the figure to a temporary file object simply in order to get the renderer from the cache. I turned this trick into a little function that uses the built-in method get_renderer()
if it exists in the backend, but uses the save method otherwise.
def find_renderer(fig):
if hasattr(fig.canvas, "get_renderer"):
#Some backends, such as TkAgg, have the get_renderer method, which
#makes this easy.
renderer = fig.canvas.get_renderer()
else:
#Other backends do not have the get_renderer method, so we have a work
#around to find the renderer. Print the figure to a temporary file
#object, and then grab the renderer that was used.
#(I stole this trick from the matplotlib backend_bases.py
#print_figure() method.)
import io
fig.canvas.print_pdf(io.BytesIO())
renderer = fig._cachedRenderer
return(renderer)
Here are the results using find_renderer()
with a slightly modified version of the code in my original example. With the TkAgg backend, which has the get_renderer()
method, I get:
With the MacOSX backend, which does not have the get_renderer()
method, I get:
Obviously, the bounding box using MacOSX backend is not perfect, but it is much better than the red box in my original question.
If you would like to get the tight bounding box of a rotated text region, here is a possible solution.
# generate text layer
def text_on_canvas(text, myf, ro, margin = 1):
axis_lim = 1
fig = plt.figure(figsize = (5,5), dpi=100)
plt.axis([0, axis_lim, 0, axis_lim])
# place the left bottom corner at (axis_lim/20,axis_lim/20) to avoid clip during rotation
aa = plt.text(axis_lim/20.,axis_lim/20., text, ha='left', va = 'top', fontproperties = myf, rotation = ro, wrap=True)
plt.axis('off')
text_layer = fig2img(fig) # convert to image
plt.close()
we = aa.get_window_extent()
min_x, min_y, max_x, max_y = we.xmin, 500 - we.ymax, we.xmax, 500 - we.ymin
box = (min_x-margin, min_y-margin, max_x+margin, max_y+margin)
# return coordinates to further calculate the bbox of rotated text
return text_layer, min_x, min_y, max_x, max_y
def geneText(text, font_family, font_size, style):
myf = font_manager.FontProperties(fname=font_family, size=font_size)
ro = 0
if style < 8: # rotated text
# no rotation, just to get the minimum bbox
htext_layer, min_x, min_y, max_x, max_y = text_on_canvas(text, myf, 0)
# actual rotated text
ro = random.randint(0, 90)
M = cv2.getRotationMatrix2D((min_x,min_y),ro,1)
# pts is 4x3 matrix
pts = np.array([[min_x, min_y, 1],[max_x, min_y, 1],[max_x, max_y, 1],[min_x, max_y,1]]) # clockwise
affine_pts = np.dot(M, pts.T).T
#print affine_pts
text_layer, _, _, _, _ = text_on_canvas(text, myf, ro)
visualize_points(htext_layer, pts)
visualize_points(text_layer, affine_pts)
return text_layer
else:
raise NotImplementedError
fonts = glob.glob(fonts_path + '/*.ttf')
ret = geneText('aaaaaa', fonts[0], 80, 1)
The result looks like this: The first one is un-rotated, and the second one is rotated text region. The full code snippet is here.