交互式略读查看器CanvaTools矩形

Question

我遇到了skimage.viewer.canvastools.RectangleTool()的麻烦，如能提供任何帮助，我将不胜感激。在

我希望选择框是交互式的，也就是说，在绘图之后，可以使用手柄编辑所选区域。此功能appears to work与{}一起使用…例如

from matplotlib.widgets import  RectangleSelector
from pylab import *

def onselect(eclick, erelease):
  'Dummy function'

x = arange(100)/(99.0)
y = sin(x)
fig = figure
ax = subplot(111)
ax.plot(x,y)

test = RectangleSelector(ax, onselect,
                         drawtype='box',
                         interactive=True)
show()

---

但是，当我使用

^{pr2}$

我被甩了：

TypeError: init() got an unexpected keyword argument 'interactive'

…如果我使用

rect_tool = RectangleTool(viewer,
                      on_enter=save_region,
                      rect_props=dict(interactive=True))  

我被抛出这个错误：

AttributeError: Unknown property interactive

我是否误解了manpage？在

非常感谢！在

---

这就是我所处的位置（矩形工具不交互）：

import skimage.io
from skimage.viewer import ImageViewer
from skimage.viewer.canvastools import RectangleTool

import numpy as np

from tkinter import Tk
from tkinter.filedialog import askopenfilename
from tkinter.simpledialog import askfloat


Tk().withdraw() # we don't want a full GUI, so keep the root window from appearing
filename = askopenfilename() # show an "Open" dialog box and return the path to the selected file
print(filename)

image_rgb = skimage.io.imread(filename)
image_r = image_rgb[:,:,0] # extract red channel


########
# Does this need to be initialised differently to make the rectangle interactive?
viewer = ImageViewer(image_r)


intensity_dumps = [] # used to store pixel values for selected regions

def save_region(extents):
    global image_r, intensity_dumps
    xmin = np.floor(extents[0]).astype('uint16')
    xmax = np.ceil(extents[1]).astype('uint16')
    ymin = np.floor(extents[2]).astype('uint16')
    ymax = np.ceil(extents[3]).astype('uint16')
    region = image_r[ymin:ymax,xmin:xmax]
    intensity_dumps.append(np.ndarray.flatten(region))
    print('Mean:',np.mean(region))
    print('Std. dev.:',np.std(region))
    print('Max:',np.max(region))


########
# Here is where I believe the problem lies...
rect_tool = RectangleTool(viewer,
                          on_enter=save_region)


thresholded = viewer.show()[0][0]

Answer 1

是的，我想你误解了。请注意，RectangleTool没有interactive=参数。相反，有一个rect_props参数，它是一个字典。字典项将作为关键字参数传递给RectangleSelector。所以你想要：RectangleTool(..., rect_props=dict(interactive=True)。在