def test_viz_image(imgpaths):
nImgs = len(imgpaths)
assert len(imgpaths) < 20, '%d > 20 out of scope of this test' % nImgs
tau = np.pi * 2
fnum = 1
img_list = imread_many(imgpaths)
nRows, nCols = ph.get_square_row_cols(nImgs)
print('[viz*] 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))
fig.clf()
for px, img in enumerate(img_list):
title = 'test title'
bbox_list = [dummy_bbox(img),
dummy_bbox(img, (-.25, -.25), .1)]
theta_list = [tau * .7, tau * .9]
sel_list = [True, False]
label_list = ['test label', 'lbl2']
viz_image2.show_image(img,
bbox_list=bbox_list,
title=title,
sel_list=sel_list,
label_list=label_list,
theta_list=theta_list,
fnum=fnum,
pnum=pnum_(px))
def show_name(ibs, nid, nid2_aids=None, in_image=True, fnum=0, sel_aids=[], subtitle='',
annote=False, **kwargs):
print('[viz] show_name nid=%r' % nid)
aid_list = ibs.get_name_aids(nid)
name = ibs.get_name_text((nid,))
ibsfuncs.ensure_annotation_data(ibs, aid_list, chips=(not in_image or annote), feats=annote)
print('[viz] show_name=%r aid_list=%r' % (name, aid_list))
nAids = len(aid_list)
if nAids > 0:
nRows, nCols = ph.get_square_row_cols(nAids)
print('[viz*] 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()
# Trigger computation of all chips in parallel
for px, aid in enumerate(aid_list):
show_chip(ibs, aid=aid, pnum=pnum_(px), annote=annote, in_image=in_image)
if aid in sel_aids:
ax = df2.gca()
df2.draw_border(ax, df2.GREEN, 4)
#plot_aid3(ibs, aid)
if isinstance(nid, np.ndarray):
nid = nid[0]
if isinstance(name, np.ndarray):
name = name[0]
else:
df2.imshow_null(fnum=fnum, **kwargs)
figtitle = 'Name View nid=%r name=%r' % (nid, name)
df2.set_figtitle(figtitle)
def prepare_page(self, pagenum):
""" Gets indexes for the pagenum ready to be displayed """
# Set the start index
self.start_index = pagenum * self.nPerPage
# Clip based on nCands
self.nDisplay = min(self.nCands - self.start_index, self.nPerPage)
nRows, nCols = ph.get_square_row_cols(self.nDisplay)
# Create a grid to hold nPerPage
self.pnum_ = df2.get_pnum_func(nRows, nCols)
# Adjust stop index
self.stop_index = self.start_index + self.nDisplay
# Clear current figure
self.clean_scope()
self.fig = df2.figure(fnum=self.fnum, pnum=self.pnum_(0), doclf=True, docla=True)
ih.disconnect_callback(self.fig, 'button_press_event')
ih.connect_callback(self.fig, 'button_press_event', self.on_figure_clicked)
def prepare_page(self, pagenum):
""" Gets indexes for the pagenum ready to be displayed """
# Set the start index
self.start_index = pagenum * self.nPerPage
# Clip based on nCands
self.nDisplay = min(self.nCands - self.start_index, self.nPerPage)
nRows, nCols = ph.get_square_row_cols(self.nDisplay)
# Create a grid to hold nPerPage
self.pnum_ = df2.get_pnum_func(nRows, nCols)
# Adjust stop index
self.stop_index = self.start_index + self.nDisplay
# Clear current figure
self.clean_scope()
self.fig = df2.figure(fnum=self.fnum,
pnum=self.pnum_(0),
doclf=True,
docla=True)
ih.disconnect_callback(self.fig, 'button_press_event')
ih.connect_callback(self.fig, 'button_press_event',
self.on_figure_clicked)
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_multi_images(ibs, gid_list, fnum=None, **kwargs):
r"""
Args:
ibs (IBEISController): ibeis controller object
gid_list (list):
fnum (int): figure number(default = None)
CommandLine:
python -m ibeis.viz.viz_image --test-show_multi_images --db NNP_Master3 --gids=7409,7448,4670,7497,7496,7464,7446,7442 --show
python -m ibeis.viz.viz_image --test-show_multi_images --db NNP_Master3 --gids=1,2,3 --show
Ignore:
>>> # print to 8 gids sorted by num aids
>>> import ibeis
>>> ibs = ibeis.opendb('NNP_Master3')
>>> gid_list = ibs.get_valid_gids()
>>> aids_list = ibs.get_image_aids(gid_list)
>>> index_list = ut.list_argsort(list(map(len, aids_list)))[::-1]
>>> gid_list = ut.take(gid_list, index_list[0:8])
>>> print(','.join(map(str, gid_list)))
Example:
>>> # DISABLE_DOCTEST
>>> from ibeis.viz.viz_image import * # NOQA
>>> import ibeis
>>> ibs = ibeis.opendb(defaultdb='testdb1')
>>> gid_list = ut.get_argval('--gids', list, default=[1, 2])
>>> fnum = None
>>> result = show_multi_images(ibs, gid_list, fnum, draw_lbls=False, notitle=True, sel_aids='all')
>>> print(result)
>>> ut.show_if_requested()
"""
fnum = pt.ensure_fnum(fnum)
nGids = len(gid_list)
if nGids == 0:
fig = pt.figure(fnum=fnum, pnum=(1, 1, 1), **kwargs)
pt.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)
rc = ut.get_argval('--rc', type_=list, default=None)
if rc is None:
nRows, nCols = ph.get_square_row_cols(nGids)
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_ = pt.get_pnum_func(nRows, nCols)
fig = pt.figure(fnum=fnum, pnum=pnum_(0), **kwargs)
fig.clf()
for px, gid in enumerate(gid_list):
print(pnum_(px))
_fig, _ax1 = show_image(ibs, gid, fnum=fnum, pnum=pnum_(px), **kwargs)
#ax = pt.gca()
#if aid in sel_aids:
# pt.draw_border(ax, pt.GREEN, 4)
#if ut.get_argflag('--numlbl') and not DOBOTH:
# ax.set_xlabel('(' + str(px + 1) + ')')
#plot_aid3(ibs, aid)
pass
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
