def delete_cache(back):
# Help -> Delete Directory Slots
# RCOS TODO: Are you sure?
ans = back.user_option('Are you sure you want to delete cache?')
if ans != 'Yes':
return
back.invalidate_result()
df2.close_all_figures()
back.hs.delete_cache()
back.populate_result_table()
def delete_cache(back):
# Help -> Delete Directory Slots
# RCOS TODO: Are you sure?
ans = back.user_option('Are you sure you want to delete cache?')
if ans != 'Yes':
return
back.invalidate_result()
df2.close_all_figures()
back.hs.delete_cache()
back.populate_result_table()
def mask_creator_demo(mode=0):
print('*** START DEMO ***')
print('mode = %r' % mode)
# try:
# from hscom import fileio as io
# img = io.imread('/zebra.jpg', 'RGB')
# except ImportError as ex:
# print('cant read zebra: %r' % ex)
# img = np.random.uniform(255, 255, size=(100, 100))
img = mpimg.imread('zebra2.jpg')
ax = plt.subplot(111)
ax.imshow(img)
if mode == 0:
mc = MaskCreator(ax)
# Do interaction
plt.show()
# Make mask from selection
mask = mc.get_mask(img.shape)
# User must close previous figure
elif mode == 1:
from hsgui import guitools
from hsviz import draw_func2 as df2
ax.set_title('Click two points to select an ROI (old mode)')
# Do selection
roi = guitools.select_roi()
# Make mask from selection
mask = roi_to_mask(img.shape, roi)
# Close previous figure
df2.close_all_figures()
# Modify the image with the mask
masked_img = apply_mask(img, mask)
# show the modified image
plt.imshow(masked_img)
plt.title('Region outside of mask is darkened')
print('show2')
plt.show()
def delete_queryresults_dir(back):
# RCOS TODO: Are you sure?
df2.close_all_figures()
back.invalidate_result()
back.hs.delete_queryresults_dir()
back.populate_result_table()
def delete_global_prefs(back):
# RCOS TODO: Are you sure?
df2.close_all_figures()
back.hs.delete_global_prefs()
def delete_queryresults_dir(back):
# RCOS TODO: Are you sure?
df2.close_all_figures()
back.invalidate_result()
back.hs.delete_queryresults_dir()
back.populate_result_table()
def delete_global_prefs(back):
# RCOS TODO: Are you sure?
df2.close_all_figures()
back.hs.delete_global_prefs()
