def on_figure_clicked(self, event):
""" Clicked a match between query annotation and result annotation:
parses the type of click it was and execute the correct
visualiztion
"""
print('[viz] clicked result')
if ih.clicked_outside_axis(event):
#self.toggle_fmatch()
pass
else:
ax = event.inaxes
viztype = ph.get_plotdat(ax, 'viztype', '')
#printDBG(str(event.__dict__))
printDBG('viztype=%r' % viztype)
# Clicked a specific matches
if viztype == 'matches':
aid1 = ph.get_plotdat(ax, 'aid1', None)
aid2 = ph.get_plotdat(ax, 'aid2', None)
# Ctrl-Click
key = '' if event.key is None else event.key
print('key = %r' % key)
if key.find('control') == 0:
print('[viz] result control clicked')
self.on_ctrl_clicked_match(aid1, aid2)
# Left-Click
else:
print('[viz] result clicked')
self.on_clicked_match(aid1, aid2)
def on_single_match_clicked(event):
from plottool import interact_helpers as ih
from plottool import plot_helpers as ph
""" result interaction mpl event callback slot """
print('[viz] clicked result')
if ih.clicked_outside_axis(event):
pass
else:
ax = event.inaxes
viztype = ph.get_plotdat(ax, 'viztype', '')
#printDBG(str(event.__dict__))
# Clicked a specific matches
if viztype.startswith('matches'):
#aid2 = ph.get_plotdat(ax, 'aid2', None)
# Ctrl-Click
evkey = '' if event.key is None else event.key
simp = ph.get_plotdat(ax, 'simp', None)
key = ph.get_plotdat(ax, 'key', None)
print('evkey = %r' % evkey)
if evkey.find('control') == 0:
print('[viz] result control clicked')
pass
# Left-Click
else:
print(simp)
print(key)
print('[viz] result clicked')
pass
ph.draw()
def on_figure_clicked(self, event):
""" Clicked a match between query annotation and result annotation:
parses the type of click it was and execute the correct
visualiztion
"""
print('[viz] clicked result')
if ih.clicked_outside_axis(event):
#self.toggle_fmatch()
pass
else:
ax = event.inaxes
viztype = ph.get_plotdat(ax, 'viztype', '')
# Clicked a specific matches
if viztype == 'matches':
aid1 = ph.get_plotdat(ax, 'aid1', None)
aid2 = ph.get_plotdat(ax, 'aid2', None)
# Ctrl-Click
key = '' if event.key is None else event.key
print('key = %r' % key)
if key.find('control') == 0:
print('[viz] result control clicked')
self.on_ctrl_clicked_match(aid1, aid2)
# Left-Click
else:
print('[viz] result clicked')
self.on_clicked_match(aid1, aid2)
def match_reviewed(self, event):
ax = event.inaxes
viztype = ph.get_plotdat(ax, 'viztype', '')
assert viztype == 'button', 'bad mpl button slot'
# The change name button was clicked
index = ph.get_plotdat(ax, 'index', -1)
text = ph.get_plotdat(ax, 'text', -1)
self.select_candidate_match(index)
aid1, aid2 = self.current_match_aids
print(index)
print(text)
ibs = self.ibs
if text.startswith(BREAK_MATCH_PREF):
ibs.set_annot_names([aid1, aid2], ['____', '____'])
elif text.startswith(NEW_MATCH_PREF):
next_name = ibsfuncs.make_next_name(ibs)
ibs.set_annot_names([aid1, aid2], [next_name, next_name])
elif text.startswith(RENAME1_PREF):
name2 = ibs.get_annot_names(aid2)
ibs.set_annot_names([aid1], [name2])
elif text.startswith(RENAME2_PREF):
name1 = ibs.get_annot_names(aid1)
ibs.set_annot_names([aid2], [name1])
# Emit that something has changed
self.on_change_callback()
self.show_page()
def on_click_inside(self, event, ax):
import plottool as pt
viztype = ph.get_plotdat(ax, 'viztype', None)
print('[ik] viztype=%r' % viztype)
if viztype is None:
pass
elif viztype == 'keypoints':
kpts = ph.get_plotdat(ax, 'kpts', [])
if len(kpts) == 0:
print('...nokpts')
else:
print('...nearest')
x, y = event.xdata, event.ydata
fx = ut.nearest_point(x, y, kpts)[0]
self._select_ith_kpt(fx)
elif viztype == 'warped':
hs_fx = ph.get_plotdat(ax, 'fx', None)
if hs_fx is not None:
kp = self.kpts[hs_fx] # FIXME
sift = self.vecs[hs_fx]
df2.draw_keypoint_gradient_orientations(self.chip,
kp,
sift=sift,
mode='vec',
fnum=pt.next_fnum())
pt.draw()
elif viztype.startswith('colorbar'):
pass
else:
print('...unhandled')
self.draw()
def match_reviewed(self, event):
ax = event.inaxes
viztype = ph.get_plotdat(ax, 'viztype', '')
assert viztype == 'button', 'bad mpl button slot'
# The change name button was clicked
index = ph.get_plotdat(ax, 'index', -1)
text = ph.get_plotdat(ax, 'text', -1)
self.select_candidate_match(index)
aid1, aid2 = self.current_match_aids
print(index)
print(text)
ibs = self.ibs
if text.startswith(BREAK_MATCH_PREF):
ibs.set_annot_names([aid1, aid2], ['____', '____'])
elif text.startswith(NEW_MATCH_PREF):
next_name = ibsfuncs.make_next_name(ibs)
ibs.set_annot_names([aid1, aid2], [next_name, next_name])
elif text.startswith(RENAME1_PREF):
name2 = ibs.get_annot_names(aid2)
ibs.set_annot_names([aid1], [name2])
elif text.startswith(RENAME2_PREF):
name1 = ibs.get_annot_names(aid1)
ibs.set_annot_names([aid2], [name1])
# Emit that something has changed
self.on_change_callback()
self.show_page()
def on_click_inside(self, event, ax):
import plottool as pt
viztype = ph.get_plotdat(ax, 'viztype', None)
print('[ik] viztype=%r' % viztype)
if viztype is None:
pass
elif viztype == 'keypoints':
kpts = ph.get_plotdat(ax, 'kpts', [])
if len(kpts) == 0:
print('...nokpts')
else:
print('...nearest')
x, y = event.xdata, event.ydata
fx = ut.nearest_point(x, y, kpts)[0]
self._select_ith_kpt(fx)
elif viztype == 'warped':
hs_fx = ph.get_plotdat(ax, 'fx', None)
if hs_fx is not None:
kp = self.kpts[hs_fx] # FIXME
sift = self.vecs[hs_fx]
df2.draw_keypoint_gradient_orientations(self.chip, kp,
sift=sift, mode='vec',
fnum=pt.next_fnum())
pt.draw()
elif viztype.startswith('colorbar'):
pass
else:
print('...unhandled')
self.draw()
def on_single_match_clicked(event):
from plottool import interact_helpers as ih
from plottool import plot_helpers as ph
""" result interaction mpl event callback slot """
print('[viz] clicked result')
if ih.clicked_outside_axis(event):
pass
else:
ax = event.inaxes
viztype = ph.get_plotdat(ax, 'viztype', '')
#printDBG(str(event.__dict__))
# Clicked a specific matches
if viztype.startswith('matches'):
#aid2 = ph.get_plotdat(ax, 'aid2', None)
# Ctrl-Click
evkey = '' if event.key is None else event.key
simp = ph.get_plotdat(ax, 'simp', None)
key = ph.get_plotdat(ax, 'key', None)
print('evkey = %r' % evkey)
if evkey.find('control') == 0:
print('[viz] result control clicked')
pass
# Left-Click
else:
print(simp)
print(key)
print('[viz] result clicked')
pass
ph.draw()
def _on_keypoints_click(event):
print('[viz] clicked keypoint view')
if event is None or event.xdata is None or event.inaxes is None:
annote_ptr[0] = (annote_ptr[0] + 1) % 3
mode = annote_ptr[0]
ell = mode == 1
pts = mode == 2
print('... default kpts view mode=%r' % mode)
_viz_keypoints(fnum, ell=ell, pts=pts,
**kwargs) # MAYBE: remove kwargs
else:
ax = event.inaxes
viztype = ph.get_plotdat(ax, 'viztype', None)
print('[ik] viztype=%r' % viztype)
if viztype == 'keypoints':
kpts = ph.get_plotdat(ax, 'kpts', [])
if len(kpts) == 0:
print('...nokpts')
else:
print('...nearest')
x, y = event.xdata, event.ydata
fx = ut.nearest_point(x, y, kpts)[0]
_select_ith_kpt(fx)
elif viztype == 'warped':
hs_fx = ph.get_plotdat(ax, 'fx', None)
#kpts = ph.get_plotdat(ax, 'kpts', [])
if hs_fx is not None:
# Ugly. Interactions should be changed to classes.
kp = self.kpts[hs_fx] # FIXME
sift = self.vecs[hs_fx]
df2.draw_keypoint_gradient_orientations(
chip, kp, sift=sift, mode='vec', fnum=df2.next_fnum())
elif viztype.startswith('colorbar'):
pass
# Hack to get a specific scoring feature
#sortx = self.fs.argsort()
#idx = np.clip(int(np.round(y * len(sortx))), 0, len(sortx) - 1)
#mx = sortx[idx]
#(fx1, fx2) = self.fm[mx]
#(fx1, fx2) = self.fm[mx]
#print('... selected score at rank idx=%r' % (idx,))
#print('... selected score with fs=%r' % (self.fs[mx],))
#print('... resolved to mx=%r' % mx)
#print('... fx1, fx2 = %r, %r' % (fx1, fx2,))
#self.select_ith_match(mx)
else:
print('...unhandled')
ph.draw()
def on_click_inside(self, event, ax):
from plottool import plot_helpers as ph
ibs = self.ibs
viztype = ph.get_plotdat(ax, 'viztype', '')
is_match_type = viztype in ['matches', 'multi_match']
key = '' if event.key is None else event.key
print('key=%r ' % key)
ctrl_down = key.find('control') == 0
# Click in match axes
if event.button == 3:
return super(MatchInteraction, self).on_click_inside(event, ax)
if is_match_type and ctrl_down:
# Ctrl-Click
print('.. control click')
return self.sv_view()
elif viztype in ['warped', 'unwarped']:
print('clicked at patch')
ut.print_dict(ph.get_plotdat_dict(ax))
hs_aid = {
'aid1': self.qaid,
'aid2': self.daid,
}[vh.get_ibsdat(ax, 'aid', None)]
hs_fx = vh.get_ibsdat(ax, 'fx', None)
print('hs_fx = %r' % (hs_fx,))
print('hs_aid = %r' % (hs_aid,))
if hs_aid is not None and viztype == 'unwarped':
ishow_chip(ibs, hs_aid, fx=hs_fx, fnum=pt.next_fnum())
elif hs_aid is not None and viztype == 'warped':
viz.show_keypoint_gradient_orientations(ibs, hs_aid, hs_fx,
fnum=pt.next_fnum())
else:
return super(MatchInteraction, self).on_click_inside(event, ax)
self.draw()
def _on_keypoints_click(event):
print('[viz] clicked keypoint view')
if event is None or event.xdata is None or event.inaxes is None:
annote_ptr[0] = (annote_ptr[0] + 1) % 3
mode = annote_ptr[0]
ell = mode == 1
pts = mode == 2
print('... default kpts view mode=%r' % mode)
_viz_keypoints(fnum, ell=ell, pts=pts, **kwargs) # MAYBE: remove kwargs
else:
ax = event.inaxes
viztype = ph.get_plotdat(ax, 'viztype', None)
print('[ik] viztype=%r' % viztype)
if viztype == 'keypoints':
kpts = ph.get_plotdat(ax, 'kpts', [])
if len(kpts) == 0:
print('...nokpts')
else:
print('...nearest')
x, y = event.xdata, event.ydata
fx = ut.nearest_point(x, y, kpts)[0]
_select_ith_kpt(fx)
elif viztype == 'warped':
hs_fx = ph.get_plotdat(ax, 'fx', None)
#kpts = ph.get_plotdat(ax, 'kpts', [])
if hs_fx is not None:
# Ugly. Interactions should be changed to classes.
kp = self.kpts[hs_fx] # FIXME
sift = self.vecs[hs_fx]
df2.draw_keypoint_gradient_orientations(chip, kp, sift=sift, mode='vec',
fnum=df2.next_fnum())
elif viztype.startswith('colorbar'):
pass
# Hack to get a specific scoring feature
#sortx = self.fs.argsort()
#idx = np.clip(int(np.round(y * len(sortx))), 0, len(sortx) - 1)
#mx = sortx[idx]
#(fx1, fx2) = self.fm[mx]
#(fx1, fx2) = self.fm[mx]
#print('... selected score at rank idx=%r' % (idx,))
#print('... selected score with fs=%r' % (self.fs[mx],))
#print('... resolved to mx=%r' % mx)
#print('... fx1, fx2 = %r, %r' % (fx1, fx2,))
#self.select_ith_match(mx)
else:
print('...unhandled')
ph.draw()
def on_click_inside(self, event, ax):
from plottool import plot_helpers as ph
(x, y) = (event.xdata, event.ydata)
viztype = ph.get_plotdat(ax, "viztype", "")
if event.button == 3:
self.show_popup_menu(self.get_popup_options(), event)
return
# key = '' if event.key is None else event.key
# ctrl_down = key.find('control') == 0
if viztype == "matches":
if len(self.fm) == 0:
print("[inter] no feature matches to click")
else:
# Normal Click
# Select nearest feature match to the click
kpts1_m = self.kpts1[self.fm[:, 0]]
kpts2_m = self.kpts2[self.fm[:, 1]]
x2, y2, w2, h2 = self.xywh2
_mx1, _dist1 = ut.nearest_point(x, y, kpts1_m)
_mx2, _dist2 = ut.nearest_point(x - x2, y - y2, kpts2_m)
mx = _mx1 if _dist1 < _dist2 else _mx2
print("... clicked mx=%r" % mx)
self.select_ith_match(mx)
elif viztype in ["warped", "unwarped"]:
pass
# hs_aid = ax.__dict__.get('_hs_aid', None)
# hs_fx = ax.__dict__.get('_hs_fx', None)
# if hs_aid is not None and viztype == 'unwarped':
# ishow_chip(ibs, hs_aid, fx=hs_fx, fnum=pt.next_fnum())
# elif hs_aid is not None and viztype == 'warped':
# viz.show_keypoint_gradient_orientations(ibs, hs_aid,
# hs_fx, fnum=pt.next_fnum())
# Click in match axes
# elif viztype == 'matches' and ctrl_down:
# # Ctrl-Click
# print('.. control click')
# return self.sv_view()
elif viztype.startswith("colorbar"):
# Hack to get a specific scoring feature
sortx = self.fs.argsort()
idx = np.clip(int(np.round(y * len(sortx))), 0, len(sortx) - 1)
mx = sortx[idx]
(fx1, fx2) = self.fm[mx]
(fx1, fx2) = self.fm[mx]
print("... selected score at rank idx=%r" % (idx,))
print("... selected score with fs=%r" % (self.fs[mx],))
print("... resolved to mx=%r" % mx)
print("... fx1, fx2 = %r, %r" % (fx1, fx2))
self.select_ith_match(mx)
else:
print("...Unknown viztype: %r" % viztype)
self.draw()
def append_button(self, text, divider=None, rect=None, callback=None,
size='9%', location='bottom', ax=None, **kwargs):
""" Adds a button to the current page """
if rect is not None:
new_ax = df2.plt.axes(rect)
if rect is None and divider is None:
if ax is None:
ax = df2.gca()
divider = df2.ensure_divider(ax)
if divider is not None:
new_ax = divider.append_axes(location, size=size, pad=.05)
if callback is not None:
color, hovercolor = u'.85', u'.95'
else:
color, hovercolor = u'.88', u'.88'
#color, hovercolor = u'.45', u'.45'
#if isinstance(text, six.text_type):
new_but = mpl.widgets.Button(
new_ax, text, color=color, hovercolor=hovercolor)
#elif isinstance(text, (list, tuple)):
# labels = [False] * len(text)
# labels[0] = True
# new_but = mpl.widgets.CheckButtons(new_ax, text, labels)
#else:
# raise ValueError('bad input')
if callback is not None:
new_but.on_clicked(callback)
else:
button_text = new_but.ax.texts[0]
button_text.set_color('.6')
#button_text.set_color('r')
#ut.embed()
#print('new_but.color = %r' % (new_but.color,))
#else:
# TODO: figure ou how to gray out these buttons
# new_but.color = u'.1'
# new_but.hovercolor = u'.1'
# new_but.active = False
# print('new_but.color = %r' % (new_but.color,))
ph.set_plotdat(new_ax, 'viztype', 'button')
ph.set_plotdat(new_ax, 'text', text)
#ph.set_plotdat(new_ax, 'parent_axes', ax)
if ax is not None:
child_axes = ph.get_plotdat(ax, 'child_axes', [])
child_axes.append(new_ax)
ph.set_plotdat(ax, 'child_axes', child_axes)
for key, val in six.iteritems(kwargs):
ph.set_plotdat(new_ax, key, val)
# Keep buttons from losing scrop
tup = (new_but, new_ax)
self.scope.append(tup)
return tup
def on_click_inside(self, event, ax):
from plottool import plot_helpers as ph
(x, y) = (event.xdata, event.ydata)
viztype = ph.get_plotdat(ax, 'viztype', '')
if event.button == 3:
self.show_popup_menu(self.get_popup_options(), event)
return
#key = '' if event.key is None else event.key
#ctrl_down = key.find('control') == 0
if viztype == 'matches':
if len(self.fm) == 0:
print('[inter] no feature matches to click')
else:
# Normal Click
# Select nearest feature match to the click
kpts1_m = self.kpts1[self.fm[:, 0]]
kpts2_m = self.kpts2[self.fm[:, 1]]
x2, y2, w2, h2 = self.xywh2
_mx1, _dist1 = ut.nearest_point(x, y, kpts1_m)
_mx2, _dist2 = ut.nearest_point(x - x2, y - y2, kpts2_m)
mx = _mx1 if _dist1 < _dist2 else _mx2
print('... clicked mx=%r' % mx)
self.select_ith_match(mx)
elif viztype in ['warped', 'unwarped']:
pass
#hs_aid = ax.__dict__.get('_hs_aid', None)
#hs_fx = ax.__dict__.get('_hs_fx', None)
#if hs_aid is not None and viztype == 'unwarped':
# ishow_chip(ibs, hs_aid, fx=hs_fx, fnum=pt.next_fnum())
#elif hs_aid is not None and viztype == 'warped':
# viz.show_keypoint_gradient_orientations(ibs, hs_aid,
# hs_fx, fnum=pt.next_fnum())
# Click in match axes
#elif viztype == 'matches' and ctrl_down:
# # Ctrl-Click
# print('.. control click')
# return self.sv_view()
elif viztype.startswith('colorbar'):
# Hack to get a specific scoring feature
sortx = self.fs.argsort()
idx = np.clip(int(np.round(y * len(sortx))), 0, len(sortx) - 1)
mx = sortx[idx]
(fx1, fx2) = self.fm[mx]
(fx1, fx2) = self.fm[mx]
print('... selected score at rank idx=%r' % (idx,))
print('... selected score with fs=%r' % (self.fs[mx],))
print('... resolved to mx=%r' % mx)
print('... fx1, fx2 = %r, %r' % (fx1, fx2,))
self.select_ith_match(mx)
else:
print('...Unknown viztype: %r' % viztype)
self.draw()
def on_click_inside(self, event, ax):
ax = event.inaxes
viztype = ph.get_plotdat(ax, 'viztype', '')
#if verbose:
# print(str(event.__dict__))
print('viztype=%r' % viztype)
# Clicked a specific matches
print('plodat_dict = ' + ut.dict_str(ph.get_plotdat_dict(ax)))
if viztype.startswith('chip'):
from ibeis.viz.interact import interact_chip
options = interact_chip.build_annot_context_options(
self.ibs, self.cm.qaid, refresh_func=self._analysis_view,
with_interact_chip=False)
self.show_popup_menu(options, event)
if viztype.startswith('matches') or viztype == 'multi_match': # why startswith?
aid2 = ph.get_plotdat(ax, 'aid2', None)
aid_list = ph.get_plotdat(ax, 'aid_list', None)
if event.button == 3: # right-click
# TODO; this functionality should be in viz.interact
from ibeis.gui import inspect_gui
print('right click')
print('qreq_ = %r' % (self.qreq_,))
options = inspect_gui.get_aidpair_context_menu_options(
self.ibs, self.cm.qaid, aid2, self.cm,
qreq_=self.qreq_, update_callback=self.show_page,
backend_callback=None, aid_list=aid_list)
self.show_popup_menu(options, event)
else:
# Ctrl-Click
key = '' if event.key is None else event.key
print('key = %r' % key)
if key.find('control') == 0:
print('[viz] result control clicked')
self.show_sver_process_to_aid(aid2)
# Left-Click
else:
print('[viz] result clicked')
self.show_matches_to_aid(aid2)
self.draw()
def on_click_inside(self, event, ax):
ax = event.inaxes
viztype = ph.get_plotdat(ax, 'viztype', '')
#if verbose:
# print(str(event.__dict__))
print('viztype=%r' % viztype)
# Clicked a specific matches
print('plodat_dict = ' + ut.repr2(ph.get_plotdat_dict(ax)))
if viztype.startswith('chip'):
from ibeis.viz.interact import interact_chip
options = interact_chip.build_annot_context_options(
self.ibs, self.cm.qaid, refresh_func=self._analysis_view,
with_interact_chip=False)
self.show_popup_menu(options, event)
if viztype.startswith('matches') or viztype == 'multi_match': # why startswith?
aid2 = ph.get_plotdat(ax, 'aid2', None)
aid_list = ph.get_plotdat(ax, 'aid_list', None)
if event.button == 3: # right-click
# TODO; this functionality should be in viz.interact
from ibeis.gui import inspect_gui
print('right click')
print('qreq_ = %r' % (self.qreq_,))
options = inspect_gui.get_aidpair_context_menu_options(
self.ibs, self.cm.qaid, aid2, self.cm,
qreq_=self.qreq_, update_callback=self.show_page,
backend_callback=None, aid_list=aid_list)
self.show_popup_menu(options, event)
else:
# Ctrl-Click
key = '' if event.key is None else event.key
print('key = %r' % key)
if key.find('control') == 0:
print('[viz] result control clicked')
self.show_sver_process_to_aid(aid2)
# Left-Click
else:
print('[viz] result clicked')
self.show_matches_to_aid(aid2)
self.draw()
def clear_parent_axes(self, ax):
""" for clearing axes that we appended anything to """
child_axes = ph.get_plotdat(ax, 'child_axes', [])
ph.set_plotdat(ax, 'child_axes', [])
for subax in child_axes:
to_remove = None
for tup in self.scope:
if tup[1] is subax:
to_remove = tup
break
if to_remove is not None:
self.scope.remove(to_remove)
subax.cla()
self.fig.delaxes(subax)
ph.del_plotdat(ax, df2.DF2_DIVIDER_KEY)
ax.cla()
def clear_parent_axes(self, ax):
""" for clearing axes that we appended anything to """
child_axes = ph.get_plotdat(ax, 'child_axes', [])
ph.set_plotdat(ax, 'child_axes', [])
for subax in child_axes:
to_remove = None
for tup in self.scope:
if tup[1] is subax:
to_remove = tup
break
if to_remove is not None:
self.scope.remove(to_remove)
subax.cla()
self.fig.delaxes(subax)
ph.del_plotdat(ax, df2.DF2_DIVIDER_KEY)
ax.cla()
def on_click_inside(self, event, ax):
index = ph.get_plotdat(ax, 'index')
print('index = %r' % (index, ))
if index is not None:
if self.MOUSE_BUTTONS[event.button] == 'right':
if self.context_option_funcs is not None:
#if event.button == 3:
options = self.context_option_funcs[index]()
self.show_popup_menu(options, event)
elif self.MOUSE_BUTTONS[event.button] == 'left':
#bbox_list = ph.get_plotdat(ax, 'bbox_list')
gpath = self.gpath_list[index]
if ut.is_funclike(gpath):
print('gpath_isfunklike')
print('gpath = %r' % (gpath, ))
import plottool as pt
fnum = pt.next_fnum()
gpath(fnum=fnum)
df2.update()
else:
bbox_list = self.bboxes_list[index]
print('Bbox of figure: %r' % (bbox_list, ))
theta_list = self.thetas_list[index]
print('theta_list = %r' % (theta_list, ))
#img = mpimg.imread(gpath)
if isinstance(gpath, six.string_types):
img = vt.imread(gpath)
else:
img = gpath
fnum = df2.next_fnum()
mc = interact_annotations.ANNOTATIONInteraction(
img,
index,
self.update_images,
bbox_list=bbox_list,
theta_list=theta_list,
fnum=fnum)
mc.start()
self.mc = mc
# """wait for accept
# have a flag to tell if a bbox has been changed, on the bbox
# list that is brought it" on accept: viz_image2.show_image
# callback
# """
df2.update()
print('Clicked: ax: num=%r' % index)
def on_click_inside(self, event, ax):
index = ph.get_plotdat(ax, 'index')
print('index = %r' % (index,))
if index is not None:
if self.MOUSE_BUTTONS[event.button] == 'right':
if self.context_option_funcs is not None:
#if event.button == 3:
options = self.context_option_funcs[index]()
self.show_popup_menu(options, event)
elif self.MOUSE_BUTTONS[event.button] == 'left':
#bbox_list = ph.get_plotdat(ax, 'bbox_list')
gpath = self.gpath_list[index]
if ut.is_funclike(gpath):
print('gpath_isfunklike')
print('gpath = %r' % (gpath,))
import plottool as pt
fnum = pt.next_fnum()
gpath(fnum=fnum)
df2.update()
else:
bbox_list = self.bboxes_list[index]
print('Bbox of figure: %r' % (bbox_list,))
theta_list = self.thetas_list[index]
print('theta_list = %r' % (theta_list,))
#img = mpimg.imread(gpath)
if isinstance(gpath, six.string_types):
img = vt.imread(gpath)
else:
img = gpath
fnum = df2.next_fnum()
mc = interact_annotations.ANNOTATIONInteraction(
img, index, self.update_images, bbox_list=bbox_list,
theta_list=theta_list, fnum=fnum)
mc.start()
self.mc = mc
# """wait for accept
# have a flag to tell if a bbox has been changed, on the bbox
# list that is brought it" on accept: viz_image2.show_image
# callback
# """
df2.update()
print('Clicked: ax: num=%r' % index)
def get_popup_options(self):
from ibeis.gui import inspect_gui
options = []
ax = pt.gca() # HACK
from plottool import plot_helpers as ph
viztype = ph.get_plotdat(ax, 'viztype', '')
is_match_type = viztype in ['matches', 'multi_match']
if is_match_type:
options += inspect_gui.get_aidpair_context_menu_options(
self.ibs, self.qaid, self.daid, self.cm,
qreq_=self.qreq_,
#update_callback=self.show_page,
#backend_callback=None, aid_list=aid_list)
)
options += [
#('Toggle same_fig', self.toggle_samefig),
#('Toggle vert', self.toggle_vert),
('query last feature', self.query_last_feature),
('show each chip', self.show_each_chip),
('show each distinctiveness chip', self.show_each_dstncvs_chip),
('show each foreground weight chip', self.show_each_fgweight_chip),
('show each probchip', self.show_each_probchip),
('show coverage', self.show_coverage),
#('show each probchip', self.query_last_feature),
]
#options.append(('name_interaction', self.name_interaction))
#if self.H1 is not None:
# options.append(('Toggle homog', self.toggle_homog))
if ut.is_developer():
options.append(('dev_reload', self.dev_reload))
options.append(('dev_embed', self.dev_embed))
#options.append(('cancel', lambda: print('cancel')))
options += super(MatchInteraction, self).get_popup_options()
return options
def append_button(self,
text,
divider=None,
rect=None,
callback=None,
size='9%',
location='bottom',
ax=None,
**kwargs):
""" Adds a button to the current page """
if rect is not None:
new_ax = df2.plt.axes(rect)
if rect is None and divider is None:
if ax is None:
ax = df2.gca()
divider = df2.ensure_divider(ax)
if divider is not None:
new_ax = divider.append_axes(location, size=size, pad=.05)
if callback is not None:
color, hovercolor = u'.85', u'.95'
else:
color, hovercolor = u'.88', u'.88'
#color, hovercolor = u'.45', u'.45'
#if isinstance(text, six.text_type):
new_but = mpl.widgets.Button(new_ax,
text,
color=color,
hovercolor=hovercolor)
#elif isinstance(text, (list, tuple)):
# labels = [False] * len(text)
# labels[0] = True
# new_but = mpl.widgets.CheckButtons(new_ax, text, labels)
#else:
# raise ValueError('bad input')
if callback is not None:
new_but.on_clicked(callback)
else:
button_text = new_but.ax.texts[0]
button_text.set_color('.6')
#button_text.set_color('r')
#ut.embed()
#print('new_but.color = %r' % (new_but.color,))
#else:
# TODO: figure ou how to gray out these buttons
# new_but.color = u'.1'
# new_but.hovercolor = u'.1'
# new_but.active = False
# print('new_but.color = %r' % (new_but.color,))
ph.set_plotdat(new_ax, 'viztype', 'button')
ph.set_plotdat(new_ax, 'text', text)
#ph.set_plotdat(new_ax, 'parent_axes', ax)
if ax is not None:
child_axes = ph.get_plotdat(ax, 'child_axes', [])
child_axes.append(new_ax)
ph.set_plotdat(ax, 'child_axes', child_axes)
for key, val in six.iteritems(kwargs):
ph.set_plotdat(new_ax, key, val)
# Keep buttons from losing scrop
tup = (new_but, new_ax)
self.scope.append(tup)
return tup
def show_multiple_chips(ibs,
aid_list,
in_image=True,
fnum=0,
sel_aids=[],
subtitle='',
annote=False,
**kwargs):
"""
CommandLine:
python -m ibeis.viz.viz_name --test-show_multiple_chips --show --no-inimage
python -m ibeis.viz.viz_name --test-show_multiple_chips --show --db NNP_Master3 --aids=6435,9861,137,6563,9167,12547,9332,12598,13285 --no-inimage --notitle
python -m ibeis.viz.viz_name --test-show_multiple_chips --show --db NNP_Master3 --aids=137,6563,12547,9332,12598,13285 --no-inimage --notitle --adjust=.05
python -m ibeis.viz.viz_name --test-show_multiple_chips --show --db NNP_Master3 --aids=6563,9332,13285,12598 --no-inimage --notitle --adjust=.05 --rc=1,4
python -m ibeis.viz.viz_name --test-show_multiple_chips --show --db PZ_Master0 --aids=1288 --no-inimage --notitle --adjust=.05
python -m ibeis.viz.viz_name --test-show_multiple_chips --show --db PZ_Master0 --aids=4020,4839 --no-inimage --notitle --adjust=.05
python -m ibeis.viz.viz_name --test-show_multiple_chips --db NNP_Master3 --aids=6524,6540,6571,6751 --no-inimage --notitle --adjust=.05 --diskshow
python -m ibeis.viz.viz_name --test-show_multiple_chips --db PZ_MTEST -a default:index=0:4 --show
--aids=1 --doboth --show --no-inimage
python -m ibeis.viz.viz_name --test-show_multiple_chips --db PZ_MTEST --aids=1 --doboth --show --no-inimage
python -m ibeis.viz.viz_name --test-show_multiple_chips --db PZ_MTEST --aids=1 --doboth --rc=2,1 --show --no-inimage
python -m ibeis.viz.viz_name --test-show_multiple_chips --db PZ_MTEST --aids=1 --doboth --rc=2,1 --show --notitle --trydrawline --no-draw_lbls
python -m ibeis.viz.viz_name --test-show_multiple_chips --db PZ_MTEST --aids=1,2 --doboth --show --notitle --trydrawline
python -m ibeis.viz.viz_name --test-show_multiple_chips --db PZ_MTEST --aids=1,2,3,4,5 --doboth --rc=2,5 --show --chrlbl --trydrawline --qualtitle --no-figtitle --notitle
--doboth
--doboth --show
python -m ibeis.viz.viz_name --test-show_multiple_chips --db NNP_Master3 --aids=15419 --doboth --rc=2,1 --show --notitle --trydrawline --no-draw_lbls
Example:
>>> # DISABLE_DOCTEST
>>> from ibeis.viz.viz_name import * # NOQA
>>> import ibeis
>>> ibs, aid_list, in_image = testdata_multichips()
>>> if True:
>>> import matplotlib as mpl
>>> from ibeis.scripts.thesis import TMP_RC
>>> mpl.rcParams.update(TMP_RC)
>>> fnum = 0
>>> sel_aids = []
>>> subtitle = ''
>>> annote = False
>>> fig = show_multiple_chips(ibs, aid_list, in_image, fnum, sel_aids, subtitle, annote)
>>> ut.quit_if_noshow()
>>> fig.canvas.draw()
>>> ut.show_if_requested()
"""
fnum = pt.ensure_fnum(fnum)
nAids = len(aid_list)
if nAids == 0:
fig = df2.figure(fnum=fnum, pnum=(1, 1, 1), **kwargs)
df2.imshow_null(fnum=fnum, **kwargs)
return fig
# Trigger computation of all chips in parallel
ibsfuncs.ensure_annotation_data(ibs,
aid_list,
chips=(not in_image or annote),
feats=annote)
print('[viz_name] * annot_vuuid=%r' %
((ibs.get_annot_visual_uuids(aid_list), )))
print('[viz_name] * aid_list=%r' % ((aid_list, )))
DOBOTH = ut.get_argflag('--doboth')
rc = ut.get_argval('--rc', type_=list, default=None)
if rc is None:
nRows, nCols = ph.get_square_row_cols(nAids * (2 if DOBOTH else 1))
else:
nRows, nCols = rc
notitle = ut.get_argflag('--notitle')
draw_lbls = not ut.get_argflag('--no-draw_lbls')
show_chip_kw = dict(annote=annote,
in_image=in_image,
notitle=notitle,
draw_lbls=draw_lbls)
#print('[viz_name] * r=%r, c=%r' % (nRows, nCols))
#gs2 = gridspec.GridSpec(nRows, nCols)
pnum_ = df2.get_pnum_func(nRows, nCols)
fig = df2.figure(fnum=fnum, pnum=pnum_(0), **kwargs)
fig.clf()
ax_list1 = []
for px, aid in enumerate(aid_list):
print('px = %r' % (px, ))
_fig, _ax1 = viz_chip.show_chip(ibs,
aid=aid,
pnum=pnum_(px),
**show_chip_kw)
print('other_aids = %r' % (ibs.get_annot_contact_aids(aid), ))
ax = df2.gca()
ax_list1.append(_ax1)
if aid in sel_aids:
df2.draw_border(ax, df2.GREEN, 4)
if ut.get_argflag('--chrlbl') and not DOBOTH:
ax.set_xlabel('(' + chr(ord('a') - 1 + px) + ')')
elif ut.get_argflag('--numlbl') and not DOBOTH:
ax.set_xlabel('(' + str(px + 1) + ')')
#plot_aid3(ibs, aid)
# HACK to show in image and not in image
if DOBOTH:
#ut.embed()
#ph.get_plotdat_dict(ax_list1[1])
#ph.get_plotdat_dict(ax_list2[1])
ax_list2 = []
show_chip_kw['in_image'] = not show_chip_kw['in_image']
start = px + 1
for px, aid in enumerate(aid_list, start=start):
_fig, _ax2 = viz_chip.show_chip(ibs,
aid=aid,
pnum=pnum_(px),
**show_chip_kw)
ax = df2.gca()
ax_list2.append(_ax2)
if ut.get_argflag('--chrlbl'):
ax.set_xlabel('(' + chr(ord('a') - start + px) + ')')
elif ut.get_argflag('--numlbl'):
ax.set_xlabel('(' + str(px - start + 1) + ')')
if ut.get_argflag('--qualtitle'):
qualtext = ibs.get_annot_quality_texts(aid)
ax.set_title(qualtext)
if aid in sel_aids:
df2.draw_border(ax, df2.GREEN, 4)
if in_image:
ax_list1, ax_list2 = ax_list2, ax_list1
if ut.get_argflag('--trydrawline'):
# Unfinished
#ut.embed()
# Draw lines between corresponding axes
# References:
# http://stackoverflow.com/questions/17543359/drawing-lines-between-two-plots-in-matplotlib
import matplotlib as mpl
import vtool as vt
# !!!
#http://matplotlib.org/users/transforms_tutorial.html
#invTransFigure_fn1 = fig.transFigure.inverted().transform
#invTransFigure_fn2 = fig.transFigure.inverted().transform
#print(ax_list1)
#print(ax_list2)
assert len(ax_list1) == len(ax_list2)
for ax1, ax2 in zip(ax_list1, ax_list2):
#_ = ax1.get_window_extent().transformed(fig.dpi_scale_trans.inverted())
#bbox1 = (0, 0, _.width * fig.dpi, _.height * fig.dpi)
# returns in figure coordinates
#bbox1 = df2.get_axis_bbox(ax=ax1)
#if bbox1[-1] < 0:
# # Weird bug
# bbox1 = bbox1[1]
print('--')
print('ax1 = %r' % (ax1, ))
print('ax2 = %r' % (ax2, ))
chipshape = ph.get_plotdat(ax1, 'chipshape')
#_bbox1 = ax1.get_window_extent().transformed(fig.dpi_scale_trans.inverted())
#bbox1 = (0, 0, _bbox1.width * fig.dpi, _bbox1.height * fig.dpi)
bbox1 = (0, 0, chipshape[1], chipshape[0])
aid_ = ph.get_plotdat(ax2, 'aid')
aid_list_ = ph.get_plotdat(ax2, 'aid_list')
index = aid_list_.index(aid_)
annotation_bbox_list = ph.get_plotdat(ax2,
'annotation_bbox_list')
bbox2 = annotation_bbox_list[index]
print('bbox1 = %r' % (bbox1, ))
print('bbox2 = %r' % (bbox2, ))
vert_list1 = np.array(vt.verts_from_bbox(bbox1))
vert_list2 = np.array(vt.verts_from_bbox(bbox2))
print('vert_list1 = %r' % (vert_list1, ))
print('vert_list2 = %r' % (vert_list2, ))
#for vx in [0, 1, 2, 3]:
for vx in [0, 1]:
vert1 = vert_list1[vx].tolist()
vert2 = vert_list2[vx].tolist()
print(' ***')
print(' * vert1 = %r' % (vert1, ))
print(' * vert2 = %r' % (vert2, ))
coordsA = coordsB = 'data'
#coords = 'axes points'
#'axes fraction'
#'axes pixels'
#coordsA = 'axes pixels'
#coordsB = 'data'
#'figure fraction'
#'figure pixels'
#'figure pixels'
#'figure points'
#'polar'
#'offset points'
con = mpl.patches.ConnectionPatch(xyA=vert1,
xyB=vert2,
coordsA=coordsA,
coordsB=coordsB,
axesA=ax1,
axesB=ax2,
linewidth=1,
color='k')
#, arrowstyle="-")
#ut.embed()
#con.set_zorder(None)
ax1.add_artist(con)
#ax2.add_artist(con)
#ut.embed()
#verts2.T[1] -= bbox2[-1]
#bottom_left1, bottom_right1 = verts1[1:3].tolist()
#bottom_left2, bottom_right2 = verts2[1:3].tolist()
##transAxes1 = ax1.transData.inverted()
#transAxes1_fn = ax1.transData.transform
#transAxes2_fn = ax2.transData.transform
#transAxes1_fn = ut.identity
#transAxes2_fn = ut.identity
#coord_bl1 = transFigure.transform(transAxes1.transform(bottom_left1))
#coord_br1 = transFigure.transform(transAxes1.transform(bottom_right1))
#coord_bl1 = invTransFigure_fn1(transAxes1_fn(bottom_left1))
#print('bottom_left2 = %r' % (bottom_left2,))
#coord_bl1 = (5, 5)
#coord_bl2 = invTransFigure_fn2(transAxes2_fn(bottom_left2))
#print('coord_bl2 = %r' % (coord_bl2,))
#coord_br1 = invTransFigure_fn1(transAxes1_fn(bottom_right1))
#coord_br2 = invTransFigure_fn2(transAxes2_fn(bottom_right2))
##print('coord_bl1 = %r' % (coord_bl1,))
#line_coords1 = np.vstack([coord_bl1, coord_bl2])
#line_coords2 = np.vstack([coord_br1, coord_br2])
#print('line_coords1 = %r' % (line_coords1,))
#line1 = mpl.lines.Line2D((line_coords1[0]), (line_coords1[1]), transform=fig.transFigure)
#line2 = mpl.lines.Line2D((line_coords2[0]), (line_coords2[1]), transform=fig.transFigure)
#xs1, ys1 = line_coords1.T
#xs2, ys2 = line_coords2.T
#linekw = dict(transform=fig.transFigure)
#linekw = dict()
#print('xs1 = %r' % (xs1,))
#print('ys1 = %r' % (ys1,))
#line1 = mpl.lines.Line2D(xs1, ys1, **linekw)
#line2 = mpl.lines.Line2D(xs2, ys2, **linekw) # NOQA
#shrinkA=5, shrinkB=5, mutation_scale=20, fc="w")
#ax2.add_artist(con)
#fig.lines.append(line1)
#fig.lines.append(line2)
pass
return fig
def show_multiple_chips(ibs, aid_list, in_image=True, fnum=0, sel_aids=[],
subtitle='', annote=False, **kwargs):
"""
CommandLine:
python -m ibeis.viz.viz_name --test-show_multiple_chips --show --no-inimage
python -m ibeis.viz.viz_name --test-show_multiple_chips --show --db NNP_Master3 --aids=6435,9861,137,6563,9167,12547,9332,12598,13285 --no-inimage --notitle
python -m ibeis.viz.viz_name --test-show_multiple_chips --show --db NNP_Master3 --aids=137,6563,12547,9332,12598,13285 --no-inimage --notitle --adjust=.05
python -m ibeis.viz.viz_name --test-show_multiple_chips --show --db NNP_Master3 --aids=6563,9332,13285,12598 --no-inimage --notitle --adjust=.05 --rc=1,4
python -m ibeis.viz.viz_name --test-show_multiple_chips --show --db PZ_Master0 --aids=1288 --no-inimage --notitle --adjust=.05
python -m ibeis.viz.viz_name --test-show_multiple_chips --show --db PZ_Master0 --aids=4020,4839 --no-inimage --notitle --adjust=.05
python -m ibeis.viz.viz_name --test-show_multiple_chips --db NNP_Master3 --aids=6524,6540,6571,6751 --no-inimage --notitle --adjust=.05 --diskshow
python -m ibeis.viz.viz_name --test-show_multiple_chips --db PZ_MTEST -a default:index=0:4 --show
--aids=1 --doboth --show --no-inimage
python -m ibeis.viz.viz_name --test-show_multiple_chips --db PZ_MTEST --aids=1 --doboth --show --no-inimage
python -m ibeis.viz.viz_name --test-show_multiple_chips --db PZ_MTEST --aids=1 --doboth --rc=2,1 --show --no-inimage
python -m ibeis.viz.viz_name --test-show_multiple_chips --db PZ_MTEST --aids=1 --doboth --rc=2,1 --show --notitle --trydrawline --no-draw_lbls
python -m ibeis.viz.viz_name --test-show_multiple_chips --db PZ_MTEST --aids=1,2 --doboth --show --notitle --trydrawline
python -m ibeis.viz.viz_name --test-show_multiple_chips --db PZ_MTEST --aids=1,2,3,4,5 --doboth --rc=2,5 --show --chrlbl --trydrawline --qualtitle --no-figtitle --notitle
--doboth
--doboth --show
python -m ibeis.viz.viz_name --test-show_multiple_chips --db NNP_Master3 --aids=15419 --doboth --rc=2,1 --show --notitle --trydrawline --no-draw_lbls
Example:
>>> # DISABLE_DOCTEST
>>> from ibeis.viz.viz_name import * # NOQA
>>> import ibeis
>>> ibs, aid_list, in_image = testdata_multichips()
>>> fnum = 0
>>> sel_aids = []
>>> subtitle = ''
>>> annote = False
>>> fig = show_multiple_chips(ibs, aid_list, in_image, fnum, sel_aids, subtitle, annote)
>>> ut.quit_if_noshow()
>>> fig.canvas.draw()
>>> ut.show_if_requested()
"""
fnum = pt.ensure_fnum(fnum)
nAids = len(aid_list)
if nAids == 0:
fig = df2.figure(fnum=fnum, pnum=(1, 1, 1), **kwargs)
df2.imshow_null(fnum=fnum, **kwargs)
return fig
# Trigger computation of all chips in parallel
ibsfuncs.ensure_annotation_data(ibs, aid_list, chips=(not in_image or annote), feats=annote)
print('[viz_name] * annot_vuuid=%r' % ((ibs.get_annot_visual_uuids(aid_list),)))
print('[viz_name] * aid_list=%r' % ((aid_list,)))
DOBOTH = ut.get_argflag('--doboth')
rc = ut.get_argval('--rc', type_=list, default=None)
if rc is None:
nRows, nCols = ph.get_square_row_cols(nAids * (2 if DOBOTH else 1))
else:
nRows, nCols = rc
notitle = ut.get_argflag('--notitle')
draw_lbls = not ut.get_argflag('--no-draw_lbls')
show_chip_kw = dict(annote=annote, in_image=in_image, notitle=notitle, draw_lbls=draw_lbls)
#print('[viz_name] * r=%r, c=%r' % (nRows, nCols))
#gs2 = gridspec.GridSpec(nRows, nCols)
pnum_ = df2.get_pnum_func(nRows, nCols)
fig = df2.figure(fnum=fnum, pnum=pnum_(0), **kwargs)
fig.clf()
ax_list1 = []
for px, aid in enumerate(aid_list):
print('px = %r' % (px,))
_fig, _ax1 = viz_chip.show_chip(ibs, aid=aid, pnum=pnum_(px), **show_chip_kw)
print('other_aids = %r' % (ibs.get_annot_contact_aids(aid),))
ax = df2.gca()
ax_list1.append(_ax1)
if aid in sel_aids:
df2.draw_border(ax, df2.GREEN, 4)
if ut.get_argflag('--chrlbl') and not DOBOTH:
ax.set_xlabel('(' + chr(ord('a') - 1 + px) + ')')
elif ut.get_argflag('--numlbl') and not DOBOTH:
ax.set_xlabel('(' + str(px + 1) + ')')
#plot_aid3(ibs, aid)
# HACK to show in image and not in image
if DOBOTH:
#ut.embed()
#ph.get_plotdat_dict(ax_list1[1])
#ph.get_plotdat_dict(ax_list2[1])
ax_list2 = []
show_chip_kw['in_image'] = not show_chip_kw['in_image']
start = px + 1
for px, aid in enumerate(aid_list, start=start):
_fig, _ax2 = viz_chip.show_chip(ibs, aid=aid, pnum=pnum_(px), **show_chip_kw)
ax = df2.gca()
ax_list2.append(_ax2)
if ut.get_argflag('--chrlbl'):
ax.set_xlabel('(' + chr(ord('a') - start + px) + ')')
elif ut.get_argflag('--numlbl'):
ax.set_xlabel('(' + str(px - start + 1) + ')')
if ut.get_argflag('--qualtitle'):
qualtext = ibs.get_annot_quality_texts(aid)
ax.set_title(qualtext)
if aid in sel_aids:
df2.draw_border(ax, df2.GREEN, 4)
if in_image:
ax_list1, ax_list2 = ax_list2, ax_list1
if ut.get_argflag('--trydrawline'):
# Unfinished
#ut.embed()
# Draw lines between corresponding axes
# References:
# http://stackoverflow.com/questions/17543359/drawing-lines-between-two-plots-in-matplotlib
import matplotlib as mpl
import vtool as vt
# !!!
#http://matplotlib.org/users/transforms_tutorial.html
#invTransFigure_fn1 = fig.transFigure.inverted().transform
#invTransFigure_fn2 = fig.transFigure.inverted().transform
#print(ax_list1)
#print(ax_list2)
assert len(ax_list1) == len(ax_list2)
for ax1, ax2 in zip(ax_list1, ax_list2):
#_ = ax1.get_window_extent().transformed(fig.dpi_scale_trans.inverted())
#bbox1 = (0, 0, _.width * fig.dpi, _.height * fig.dpi)
# returns in figure coordinates
#bbox1 = df2.get_axis_bbox(ax=ax1)
#if bbox1[-1] < 0:
# # Weird bug
# bbox1 = bbox1[1]
print('--')
print('ax1 = %r' % (ax1,))
print('ax2 = %r' % (ax2,))
chipshape = ph.get_plotdat(ax1, 'chipshape')
#_bbox1 = ax1.get_window_extent().transformed(fig.dpi_scale_trans.inverted())
#bbox1 = (0, 0, _bbox1.width * fig.dpi, _bbox1.height * fig.dpi)
bbox1 = (0, 0, chipshape[1], chipshape[0])
aid_ = ph.get_plotdat(ax2, 'aid')
aid_list_ = ph.get_plotdat(ax2, 'aid_list')
index = aid_list_.index(aid_)
annotation_bbox_list = ph.get_plotdat(ax2, 'annotation_bbox_list')
bbox2 = annotation_bbox_list[index]
print('bbox1 = %r' % (bbox1,))
print('bbox2 = %r' % (bbox2,))
vert_list1 = np.array(vt.verts_from_bbox(bbox1))
vert_list2 = np.array(vt.verts_from_bbox(bbox2))
print('vert_list1 = %r' % (vert_list1,))
print('vert_list2 = %r' % (vert_list2,))
#for vx in [0, 1, 2, 3]:
for vx in [0, 1]:
vert1 = vert_list1[vx].tolist()
vert2 = vert_list2[vx].tolist()
print(' ***')
print(' * vert1 = %r' % (vert1,))
print(' * vert2 = %r' % (vert2,))
coordsA = coordsB = 'data'
#coords = 'axes points'
#'axes fraction'
#'axes pixels'
#coordsA = 'axes pixels'
#coordsB = 'data'
#'figure fraction'
#'figure pixels'
#'figure pixels'
#'figure points'
#'polar'
#'offset points'
con = mpl.patches.ConnectionPatch(
xyA=vert1, xyB=vert2, coordsA=coordsA,
coordsB=coordsB,
axesA=ax1, axesB=ax2,
linewidth=1, color='k')
#, arrowstyle="-")
#ut.embed()
#con.set_zorder(None)
ax1.add_artist(con)
#ax2.add_artist(con)
#ut.embed()
#verts2.T[1] -= bbox2[-1]
#bottom_left1, bottom_right1 = verts1[1:3].tolist()
#bottom_left2, bottom_right2 = verts2[1:3].tolist()
##transAxes1 = ax1.transData.inverted()
#transAxes1_fn = ax1.transData.transform
#transAxes2_fn = ax2.transData.transform
#transAxes1_fn = ut.identity
#transAxes2_fn = ut.identity
#coord_bl1 = transFigure.transform(transAxes1.transform(bottom_left1))
#coord_br1 = transFigure.transform(transAxes1.transform(bottom_right1))
#coord_bl1 = invTransFigure_fn1(transAxes1_fn(bottom_left1))
#print('bottom_left2 = %r' % (bottom_left2,))
#coord_bl1 = (5, 5)
#coord_bl2 = invTransFigure_fn2(transAxes2_fn(bottom_left2))
#print('coord_bl2 = %r' % (coord_bl2,))
#coord_br1 = invTransFigure_fn1(transAxes1_fn(bottom_right1))
#coord_br2 = invTransFigure_fn2(transAxes2_fn(bottom_right2))
##print('coord_bl1 = %r' % (coord_bl1,))
#line_coords1 = np.vstack([coord_bl1, coord_bl2])
#line_coords2 = np.vstack([coord_br1, coord_br2])
#print('line_coords1 = %r' % (line_coords1,))
#line1 = mpl.lines.Line2D((line_coords1[0]), (line_coords1[1]), transform=fig.transFigure)
#line2 = mpl.lines.Line2D((line_coords2[0]), (line_coords2[1]), transform=fig.transFigure)
#xs1, ys1 = line_coords1.T
#xs2, ys2 = line_coords2.T
#linekw = dict(transform=fig.transFigure)
#linekw = dict()
#print('xs1 = %r' % (xs1,))
#print('ys1 = %r' % (ys1,))
#line1 = mpl.lines.Line2D(xs1, ys1, **linekw)
#line2 = mpl.lines.Line2D(xs2, ys2, **linekw) # NOQA
#shrinkA=5, shrinkB=5, mutation_scale=20, fc="w")
#ax2.add_artist(con)
#fig.lines.append(line1)
#fig.lines.append(line2)
pass
return fig