def select_roi():
#from matplotlib.backend_bases import mplDeprecation
print('[*guitools] Define a Rectanglular ROI by clicking two points.')
try:
sys.stdout.flush()
fig = df2.gcf()
# Disconnect any other button_press events
oldcbid, oldcbfn = df2.disconnect_callback(fig, 'button_press_event')
#with warnings.catch_warnings():
#warnings.filterwarnings("ignore", category=mplDeprecation)
pts = fig.ginput(2)
print('[*guitools] ginput(2) = %r' % (pts,))
[(x1, y1), (x2, y2)] = pts
xm = min(x1, x2)
xM = max(x1, x2)
ym = min(y1, y2)
yM = max(y1, y2)
xywh = map(int, map(round, (xm, ym, xM - xm, yM - ym)))
roi = np.array(xywh, dtype=np.int32)
# Reconnect the old button press events
df2.connect_callback(fig, 'button_press_event', oldcbfn)
print('[*guitools] roi = %r ' % (roi,))
return roi
except Exception as ex:
print('[*guitools] ROI selection Failed:\n%r' % (ex,))
return None
def select_orientation():
#from matplotlib.backend_bases import mplDeprecation
print('[*guitools] Define an orientation angle by clicking two points')
try:
# Compute an angle from user interaction
sys.stdout.flush()
fig = df2.gcf()
oldcbid, oldcbfn = df2.disconnect_callback(fig, 'button_press_event')
#with warnings.catch_warnings():
#warnings.filterwarnings("ignore", category=mplDeprecation)
pts = np.array(fig.ginput(2))
#print('[*guitools] ginput(2) = %r' % pts)
# Get reference point to origin
refpt = pts[1] - pts[0]
#theta = np.math.atan2(refpt[1], refpt[0])
theta = np.math.atan2(refpt[1], refpt[0])
print('The angle in radians is: %r' % theta)
df2.connect_callback(fig, 'button_press_event', oldcbfn)
return theta
except Exception as ex:
print('Annotate Orientation Failed %r' % ex)
return None
def draw_images_at_positions(img_list, pos_list):
print('[encounter] drawing %d images' % len(img_list))
# Thumb stack
ax = df2.gca()
fig = df2.gcf()
trans = ax.transData.transform
trans2 = fig.transFigure.inverted().transform
mark_progress, end_progress = util.progress_func(len(pos_list), lbl='drawing img')
for ix, ((x, y), img) in enumerate(izip(pos_list, img_list)):
mark_progress(ix)
xx, yy = trans((x, y)) # figure coordinates
xa, ya = trans2((xx, yy)) # axes coordinates
#
width, height = img.shape[0:2]
tlx = xa - (width / 2.0)
tly = ya - (height / 2.0)
img_bbox = [tlx, tly, width, height]
# Make new axis for the image
img_ax = df2.plt.axes(img_bbox)
img_ax.imshow(img)
img_ax.set_aspect('equal')
img_ax.axis('off')
end_progress()
