def _show_matches_fn(aid, orank, pnum):
""" Helper function for drawing matches to one aid """
aug = 'rank=%r\n' % orank
_kwshow['pnum'] = pnum
_kwshow['title_aug'] = aug
#draw_ell = annot_mode == 1
#draw_lines = annot_mode >= 1
# If we already are showing the query dont show it here
if sidebyside:
# Draw each match side by side the query
if viz_name_score:
cm.show_single_namematch(qreq_, ibs.get_annot_nids(aid),
**_kwshow)
else:
_kwshow['draw_border'] = False
_kwshow['draw_lbl'] = False
_kwshow['notitle'] = True
_kwshow['vert'] = False
cm.show_single_annotmatch(qreq_, aid, **_kwshow)
#viz_matches.show_matches(ibs, cm, aid, qreq_=qreq_, **_kwshow)
else:
# Draw each match by themselves
data_config2_ = None if qreq_ is None else qreq_.get_external_data_config2(
)
#_kwshow['draw_border'] = kwargs.get('draw_border', True)
#_kwshow['notitle'] = ut.get_argflag(('--no-title', '--notitle'))
viz_chip.show_chip(ibs,
aid,
annote=False,
notitle=True,
data_config2_=data_config2_,
**_kwshow)
def show_each_fgweight_chip(self):
viz_chip.show_chip(self.ibs, self.qaid, fnum=pt.next_fnum(),
weight_label='fg_weights')
viz_chip.show_chip(self.ibs, self.daid, fnum=pt.next_fnum(),
weight_label='fg_weights')
#self.draw()
pt.draw()
def _show_matches_fn(aid, orank, pnum):
""" Helper function for drawing matches to one aid """
aug = 'rank=%r\n' % orank
_kwshow['pnum'] = pnum
_kwshow['title_aug'] = aug
#draw_ell = annot_mode == 1
#draw_lines = annot_mode >= 1
# If we already are showing the query dont show it here
if sidebyside:
# Draw each match side by side the query
if viz_name_score:
cm.show_single_namematch(qreq_, ibs.get_annot_nids(aid), **_kwshow)
else:
_kwshow['draw_border'] = False
_kwshow['draw_lbl'] = False
_kwshow['notitle'] = True
_kwshow['vert'] = False
cm.show_single_annotmatch(qreq_, aid, **_kwshow)
#viz_matches.show_matches(ibs, cm, aid, qreq_=qreq_, **_kwshow)
else:
# Draw each match by themselves
data_config2_ = None if qreq_ is None else qreq_.get_external_data_config2()
#_kwshow['draw_border'] = kwargs.get('draw_border', True)
#_kwshow['notitle'] = ut.get_argflag(('--no-title', '--notitle'))
viz_chip.show_chip(ibs, aid, annote=False, notitle=True,
data_config2_=data_config2_, **_kwshow)
def show_each_dstncvs_chip(self, dodraw=True):
"""
CommandLine:
python -m ibeis.viz.interact.interact_matches --test-show_each_dstncvs_chip --show
Example:
>>> # DISABLE_DOCTEST
>>> from ibeis.viz.interact.interact_matches import * # NOQA
>>> self = testdata_match_interact(mx=1)
>>> self.show_each_dstncvs_chip(dodraw=False)
>>> pt.show_if_requested()
"""
dstncvs1, dstncvs2 = scoring.get_kpts_distinctiveness(self.ibs,
[self.qaid,
self.daid])
print('dstncvs1_stats = ' + ut.get_stats_str(dstncvs1))
print('dstncvs2_stats = ' + ut.get_stats_str(dstncvs2))
weight_label = 'dstncvs'
showkw = dict(weight_label=weight_label, ell=False, pts=True)
viz_chip.show_chip(self.ibs, self.qaid, weights=dstncvs1,
fnum=pt.next_fnum(), **showkw)
viz_chip.show_chip(self.ibs, self.daid, weights=dstncvs2,
fnum=pt.next_fnum(), **showkw)
if dodraw:
viz.draw()
def show_each_dstncvs_chip(self, dodraw=True):
"""
CommandLine:
python -m ibeis.viz.interact.interact_matches --test-show_each_dstncvs_chip --show
Example:
>>> # DISABLE_DOCTEST
>>> from ibeis.viz.interact.interact_matches import * # NOQA
>>> self = testdata_match_interact(mx=1)
>>> self.show_each_dstncvs_chip(dodraw=False)
>>> pt.show_if_requested()
"""
dstncvs1, dstncvs2 = scoring.get_kpts_distinctiveness(
self.ibs, [self.qaid, self.daid])
print('dstncvs1_stats = ' + ut.get_stats_str(dstncvs1))
print('dstncvs2_stats = ' + ut.get_stats_str(dstncvs2))
weight_label = 'dstncvs'
showkw = dict(weight_label=weight_label, ell=False, pts=True)
viz_chip.show_chip(self.ibs,
self.qaid,
weights=dstncvs1,
fnum=pt.next_fnum(),
**showkw)
viz_chip.show_chip(self.ibs,
self.daid,
weights=dstncvs2,
fnum=pt.next_fnum(),
**showkw)
if dodraw:
viz.draw()
def testshow_extramargin_info(ibs, aid_list, arg_list, newsize_list, halfoffset_cs_list):
#cfpath, gfpath, bbox, theta, new_size, filter_list = tup
# TEMP TESTING
from vtool import chip as ctool
import plottool as pt
import vtool as vt
from ibeis.viz import viz_chip
index = 0
cfpath, gfpath, bbox, theta, new_size, filter_list = arg_list[index]
chipBGR = ctool.compute_chip(gfpath, bbox, theta, new_size, filter_list)
bbox_cs_list = [
(xo_pcs, yo_pcs, w_pcs, h_pcs)
for (w_pcs, h_pcs), (xo_pcs, yo_pcs) in zip(newsize_list, halfoffset_cs_list)
]
bbox_pcs = bbox_cs_list[index]
aid = aid_list[0]
print('new_size = %r' % (new_size,))
print('newsize_list[index] = %r' % (newsize_list[index],))
fnum = 1
viz_chip.show_chip(ibs, aid, pnum=(1, 3, 1), fnum=fnum, annote=False, in_image=True ,
title_suffix='\noriginal image')
viz_chip.show_chip(ibs, aid, pnum=(1, 3, 2), fnum=fnum, annote=False,
title_suffix='\noriginal chip')
bboxed_chip = vt.draw_verts(chipBGR,
vt.scaled_verts_from_bbox(bbox_pcs, theta, 1, 1))
pt.imshow(bboxed_chip, pnum=(1, 3, 3), fnum=fnum,
title='scaled chip with expanded margin.\n(orig margin drawn in orange)')
pt.show_if_requested()
def show_each_chip(self):
viz_chip.show_chip(self.ibs,
self.qaid,
fnum=pt.next_fnum(),
nokpts=True)
viz_chip.show_chip(self.ibs,
self.daid,
fnum=pt.next_fnum(),
nokpts=True)
viz.draw()
def _show_query_fn(plotx_shift, rowcols):
""" helper for show_qres """
plotx = plotx_shift + 1
pnum = (rowcols[0], rowcols[1], plotx)
#print('[viz] Plotting Query: pnum=%r' % (pnum,))
_kwshow = dict(draw_kpts=annot_mode)
_kwshow.update(kwargs)
_kwshow['prefix'] = 'q'
_kwshow['pnum'] = pnum
_kwshow['aid2_color'] = aid2_color
_kwshow['draw_ell'] = annot_mode >= 1
viz_chip.show_chip(ibs, cm.qaid, annote=False, qreq_=qreq_, **_kwshow)
def _show_query_fn(plotx_shift, rowcols):
""" helper for show_qres """
plotx = plotx_shift + 1
pnum = (rowcols[0], rowcols[1], plotx)
#print('[viz] Plotting Query: pnum=%r' % (pnum,))
_kwshow = dict(draw_kpts=annot_mode)
_kwshow.update(kwargs)
_kwshow['prefix'] = 'q'
_kwshow['pnum'] = pnum
_kwshow['aid2_color'] = aid2_color
_kwshow['draw_ell'] = annot_mode >= 1
viz_chip.show_chip(ibs, cm.qaid, annote=False, qreq_=qreq_, **_kwshow)
def testshow_extramargin_info(ibs, aid_list, arg_list, newsize_list,
halfoffset_cs_list):
#cfpath, gfpath, bbox, theta, new_size, filter_list = tup
# TEMP TESTING
from vtool import chip as ctool
import plottool as pt
import vtool as vt
from ibeis.viz import viz_chip
index = 0
cfpath, gfpath, expanded_bbox, theta, expanded_new_size, filter_list = arg_list[
index]
expanded_chipBGR = ctool.compute_chip(gfpath, expanded_bbox, theta,
expanded_new_size, filter_list)
bbox_cs_list = [
(xo_pcs, yo_pcs, w_pcs, h_pcs)
for (w_pcs, h_pcs), (xo_pcs,
yo_pcs) in zip(newsize_list, halfoffset_cs_list)
]
bbox_pcs = bbox_cs_list[index]
aid = aid_list[0]
#print('new_size = %r' % (new_size,))
print('newsize_list[index] = %r' % (newsize_list[index], ))
fnum = 1
viz_chip.show_chip(ibs,
aid,
pnum=(1, 3, 1),
fnum=fnum,
annote=False,
in_image=True,
title_suffix='\noriginal image')
viz_chip.show_chip(ibs,
aid,
pnum=(1, 3, 2),
fnum=fnum,
annote=False,
title_suffix='\noriginal chip')
bboxed_chip = vt.draw_verts(
expanded_chipBGR, vt.scaled_verts_from_bbox(bbox_pcs, theta, 1, 1))
pt.imshow(
bboxed_chip,
pnum=(1, 3, 3),
fnum=fnum,
title='scaled chip with expanded margin.\n(orig margin drawn in orange)'
)
pt.gca().set_xlabel(str(bboxed_chip.shape))
pt.show_if_requested()
def sanity_checks(offset_list, Y_list, query_annots, ibs):
nfeat_list = np.diff(offset_list)
for Y, nfeat in ut.ProgIter(zip(Y_list, nfeat_list), 'checking'):
assert nfeat == sum(ut.lmap(len, Y.fxs_list))
if False:
# Visualize queries
# Look at the standard query images here
# http://www.robots.ox.ac.uk:5000/~vgg/publications/2007/Philbin07/philbin07.pdf
from ibeis.viz import viz_chip
import plottool as pt
pt.qt4ensure()
fnum = 1
pnum_ = pt.make_pnum_nextgen(len(query_annots.aids) // 5, 5)
for aid in ut.ProgIter(query_annots.aids):
pnum = pnum_()
viz_chip.show_chip(ibs,
aid,
in_image=True,
annote=False,
notitle=True,
draw_lbls=False,
fnum=fnum,
pnum=pnum)
def show(self, *args, **kwargs):
if len(self) != 1:
raise ValueError('Can only show one, got {}'.format(len(self)))
from ibeis.viz import viz_chip
for aid in self:
return viz_chip.show_chip(self._ibs, aid, *args, **kwargs)
def show_annot(ibs, aid, *args, **kwargs):
""" viz helper see ibeis.viz.viz_chip.show_chip """
from ibeis.viz import viz_chip
return viz_chip.show_chip(ibs, aid, *args, **kwargs)
def show_annot(ibs, aid, *args, **kwargs):
""" viz helper see ibeis.viz.viz_chip.show_chip """
from ibeis.viz import viz_chip
return viz_chip.show_chip(ibs, aid, *args, **kwargs)
def plot_chip_metric(ibs, aid, metric=None, fnum=1, lbl='', figtitle='', colortype='score',
darken=.5, cmap_='hot', reverse_cmap=False, **kwargs):
"""
Plots one annotation with one metric.
The word metric is used liberally.
Example:
>>> from ibeis.algo.hots.smk.smk_plots import * # NOQA
>>> from ibeis.algo.hots.smk import smk_debug
>>> from ibeis.algo.hots.smk import smk_plots
>>> from ibeis.algo.hots.smk import smk_repr
>>> #tup = smk_debug.testdata_raw_internals0(db='GZ_ALL', nWords=64000)
>>> #tup = smk_debug.testdata_raw_internals0(db='GZ_ALL', nWords=8000)
>>> #tup = smk_debug.testdata_raw_internals0(db='PZ_Master0', nWords=64000)
>>> tup = smk_debug.testdata_raw_internals0(db='PZ_Mothers', nWords=8000)
>>> ibs, annots_df, daids, qaids, invindex, qreq_ = tup
>>> smk_repr.compute_data_internals_(invindex, qreq_.qparams, delete_rawvecs=False)
>>> invindex.idx2_wxs = np.array(invindex.idx2_wxs)
>>> metric = None
>>> aid = 1
>>> fnum = 0
>>> lbl='test'
>>> colortype='score'
>>> kwargs = {'annote': False}
#>>> df2.rrr()
>>> smk_plots.plot_chip_metric(ibs, aid, metric, fnum, lbl, colortype, **kwargs)
>>> df2.present()
"""
import plottool.draw_func2 as df2
from ibeis.viz import viz_chip
df2.figure(fnum=fnum, doclf=True, docla=True)
if metric is not None:
if colortype == 'score':
colors = df2.scores_to_color(metric, cmap_=cmap_, reverse_cmap=reverse_cmap)
elif colortype == 'label':
colors = df2.label_to_colors(metric)
elif colortype == 'custom':
# Give ranks of -1 and -2 special meaning
val2_customcolor = {
-1: df2.UNKNOWN_PURP,
-2: df2.LIGHT_BLUE,
}
# Inconsistent but visable colors
scale_max = .7
#consistent colors (needs to know highest K)
#maxval = np.array(metric).max()
#scale_max = .7 * (float(maxval) / 20.0)
colors = df2.scores_to_color(metric, cmap_=cmap_,
reverse_cmap=reverse_cmap,
scale_max=scale_max,
val2_customcolor=val2_customcolor)
else:
raise ValueError('no known colortype = %r' % (colortype,))
else:
colors = 'distinct'
viz_chip.show_chip(ibs, aid, color=colors, darken=darken,
ell_alpha=.8,
#ell_linewidth=4,
ell_linewidth=2,
**kwargs)
df2.set_figtitle(figtitle)
if metric is not None:
cb = df2.colorbar(metric, colors, custom=(colortype == 'custom'))
cb.set_label(lbl)
def show_each_fgweight_chip(self):
viz_chip.show_chip(self.ibs, self.qaid, fnum=pt.next_fnum(),
weight_label='fg_weights')
viz_chip.show_chip(self.ibs, self.daid, fnum=pt.next_fnum(),
weight_label='fg_weights')
viz.draw()
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
def plot_chip(self, aid, nRows, nCols, px, fulldraw=True, **kwargs):
""" Plots an individual chip in a subaxis """
ibs = self.ibs
if aid in [self.aid1, self.aid2]:
# Bold color for the matching chips
lw = 5
text_color = np.array((135, 206, 235, 255)) / 255.0
else:
lw = 2
text_color = None
pnum = (nRows, nCols, px)
if not fulldraw:
# not doing full draw so we have to clear any axes
# that are here already manually
ax = self.fig.add_subplot(*pnum)
self.clear_parent_axes(ax)
#ut.embed()
#print(subax)
viz_chip_kw = {
'fnum': self.fnum,
'pnum': pnum,
'nokpts': True,
'show_name': True,
'show_gname': False,
'show_aidstr': True,
'notitle': True,
'show_num_gt': False,
'text_color': text_color,
}
if False and ut.is_developer():
enable_chip_title_prefix = True
viz_chip_kw.update({
'enable_chip_title_prefix': enable_chip_title_prefix,
'show_name': True,
'show_aidstr': True,
'show_viewcode': True,
'show_num_gt': True,
'show_quality_text': True,
})
viz_chip.show_chip(ibs, aid, **viz_chip_kw)
ax = pt.gca()
pt.draw_border(ax, color=kwargs.get('color'), lw=lw)
if kwargs.get('make_buttons', True):
#divider = pt.ensure_divider(ax)
butkw = {
#'divider': divider,
'ax': ax,
'size': '13%'
#'size': '15%'
}
# Chip matching/naming options
nid = ibs.get_annot_name_rowids(aid)
annotation_unknown = ibs.is_nid_unknown([nid])[0]
if not annotation_unknown:
# remove name
callback = functools.partial(self.unname_annotation, aid)
self.append_button('remove name (' + ibs.get_name_texts(nid) + ')',
callback=callback,
**butkw)
else:
# new name
callback = functools.partial(self.mark_annotation_as_new_name, aid)
self.append_button('mark as new name', callback=callback, **butkw)
if nid != self.nid2 and not ibs.is_nid_unknown(
[self.nid2])[0] and not self.is_split_case:
# match to nid2
callback = functools.partial(self.rename_annotation, aid,
self.nid2)
text = 'match to name2: ' + ibs.get_name_texts(self.nid2)
self.append_button(text, callback=callback, **butkw)
if nid != self.nid1 and not ibs.is_nid_unknown([self.nid1])[0]:
# match to nid1
callback = functools.partial(self.rename_annotation, aid,
self.nid1)
text = 'match to name1: ' + ibs.get_name_texts(self.nid1)
self.append_button(text, callback=callback, **butkw)
other_nid_list = self.get_other_nids()
for other_nid in other_nid_list:
if other_nid == nid:
continue
# rename nid2
callback = functools.partial(self.rename_annotation, aid,
other_nid)
text = 'match to: ' + ibs.get_name_texts(other_nid)
self.append_button(text, callback=callback, **butkw)
return ax
def show_each_chip(self):
viz_chip.show_chip(self.ibs, self.qaid, fnum=pt.next_fnum(), nokpts=True)
viz_chip.show_chip(self.ibs, self.daid, fnum=pt.next_fnum(), nokpts=True)
viz.draw()
def plot_chip(self, aid, nRows, nCols, px, fulldraw=True, **kwargs):
""" Plots an individual chip in a subaxis """
ibs = self.ibs
if aid in [self.aid1, self.aid2]:
# Bold color for the matching chips
lw = 5
text_color = np.array((135, 206, 235, 255)) / 255.0
else:
lw = 2
text_color = None
pnum = (nRows, nCols, px)
if not fulldraw:
# not doing full draw so we have to clear any axes
# that are here already manually
ax = self.fig.add_subplot(*pnum)
self.clear_parent_axes(ax)
#ut.embed()
#print(subax)
viz_chip_kw = {
'fnum': self.fnum,
'pnum': pnum,
'nokpts': True,
'show_name': True,
'show_gname': False,
'show_aidstr': True,
'notitle': True,
'show_num_gt': False,
'text_color': text_color,
}
if False and ut.is_developer():
enable_chip_title_prefix = True
viz_chip_kw.update(
{
'enable_chip_title_prefix': enable_chip_title_prefix,
'show_name': True,
'show_aidstr': True,
'show_yawtext': True,
'show_num_gt': True,
'show_quality_text': True,
}
)
viz_chip.show_chip(ibs, aid, **viz_chip_kw)
ax = pt.gca()
pt.draw_border(ax, color=kwargs.get('color'), lw=lw)
if kwargs.get('make_buttons', True):
#divider = pt.ensure_divider(ax)
butkw = {
#'divider': divider,
'ax': ax,
'size': '13%'
#'size': '15%'
}
# Chip matching/naming options
nid = ibs.get_annot_name_rowids(aid)
annotation_unknown = ibs.is_nid_unknown([nid])[0]
if not annotation_unknown:
# remove name
callback = functools.partial(self.unname_annotation, aid)
self.append_button('remove name (' + ibs.get_name_texts(nid) + ')', callback=callback, **butkw)
else:
# new name
callback = functools.partial(self.mark_annotation_as_new_name, aid)
self.append_button('mark as new name', callback=callback, **butkw)
if nid != self.nid2 and not ibs.is_nid_unknown([self.nid2])[0] and not self.is_split_case:
# match to nid2
callback = functools.partial(self.rename_annotation, aid, self.nid2)
text = 'match to name2: ' + ibs.get_name_texts(self.nid2)
self.append_button(text, callback=callback, **butkw)
if nid != self.nid1 and not ibs.is_nid_unknown([self.nid1])[0]:
# match to nid1
callback = functools.partial(self.rename_annotation, aid, self.nid1)
text = 'match to name1: ' + ibs.get_name_texts(self.nid1)
self.append_button(text, callback=callback, **butkw)
other_nid_list = self.get_other_nids()
for other_nid in other_nid_list:
if other_nid == nid:
continue
# rename nid2
callback = functools.partial(self.rename_annotation, aid, other_nid)
text = 'match to: ' + ibs.get_name_texts(other_nid)
self.append_button(text, callback=callback, **butkw)
return ax
def plot_chip(self, aid, nRows, nCols, px, **kwargs):
""" Plots an individual chip in a subaxis """
ibs = self.ibs
enable_chip_title_prefix = ut.is_developer()
#enable_chip_title_prefix = False
if aid in self.comp_aids:
score = self.cm.get_annot_scores([aid])[0]
rawscore = self.cm.get_annot_scores([aid])[0]
title_suf = kwargs.get('title_suffix', '')
if score != rawscore:
if score is None:
title_suf += '\n score=____'
else:
title_suf += '\n score=%0.2f' % score
title_suf += '\n rawscore=%0.2f' % rawscore
else:
title_suf = kwargs.get('title_suffix', '')
if enable_chip_title_prefix:
title_suf = '\n' + title_suf
#nid = ibs.get_annot_name_rowids(aid)
viz_chip_kw = {
'fnum': self.fnum,
'pnum': (nRows, nCols, px),
'nokpts': True,
'show_gname': False,
'show_exemplar': False,
'show_num_gt': False,
'show_gname': False,
'title_suffix': title_suf,
# 'text_color': kwargs.get('color'),
###
#'show_name': False,
#'show_aidstr': False,
'enable_chip_title_prefix': enable_chip_title_prefix,
'show_name': True,
'show_aidstr': True,
'show_yawtext': True,
'show_quality_text': True,
}
viz_chip.show_chip(ibs, aid, **viz_chip_kw)
ax = pt.gca()
if kwargs.get('make_buttons', True):
divider = pt.ensure_divider(ax)
butkw = {
'divider': divider,
'size': '13%'
}
self.aid2_ax = {}
self.aid2_border = {}
if aid in self.comp_aids:
callback = partial(self.select, aid)
self.append_button('Select This Animal', callback=callback, **butkw)
#Hack to toggle colors
if aid in self.aid_checkbox_states:
#If we are selecting it, then make it green, otherwise change it back to grey
if self.aid_checkbox_states[aid]:
border = pt.draw_border(ax, color=(0, 1, 0), lw=4)
else:
border = pt.draw_border(ax, color=(.7, .7, .7), lw=4)
self.aid2_border[aid] = border
else:
self.aid_checkbox_states[aid] = False
self.append_button('Examine', callback=partial(self.examine, aid), **butkw)
def plot_chip_metric(ibs,
aid,
metric=None,
fnum=1,
lbl='',
figtitle='',
colortype='score',
darken=.5,
cmap_='hot',
reverse_cmap=False,
**kwargs):
"""
Plots one annotation with one metric.
The word metric is used liberally.
Example:
>>> from ibeis.algo.hots.smk.smk_plots import * # NOQA
>>> from ibeis.algo.hots.smk import smk_debug
>>> from ibeis.algo.hots.smk import smk_plots
>>> from ibeis.algo.hots.smk import smk_repr
>>> #tup = smk_debug.testdata_raw_internals0(db='GZ_ALL', nWords=64000)
>>> #tup = smk_debug.testdata_raw_internals0(db='GZ_ALL', nWords=8000)
>>> #tup = smk_debug.testdata_raw_internals0(db='PZ_Master0', nWords=64000)
>>> tup = smk_debug.testdata_raw_internals0(db='PZ_Mothers', nWords=8000)
>>> ibs, annots_df, daids, qaids, invindex, qreq_ = tup
>>> smk_repr.compute_data_internals_(invindex, qreq_.qparams, delete_rawvecs=False)
>>> invindex.idx2_wxs = np.array(invindex.idx2_wxs)
>>> metric = None
>>> aid = 1
>>> fnum = 0
>>> lbl='test'
>>> colortype='score'
>>> kwargs = {'annote': False}
#>>> df2.rrr()
>>> smk_plots.plot_chip_metric(ibs, aid, metric, fnum, lbl, colortype, **kwargs)
>>> df2.present()
"""
import plottool.draw_func2 as df2
from ibeis.viz import viz_chip
df2.figure(fnum=fnum, doclf=True, docla=True)
if metric is not None:
if colortype == 'score':
colors = df2.scores_to_color(metric,
cmap_=cmap_,
reverse_cmap=reverse_cmap)
elif colortype == 'label':
colors = df2.label_to_colors(metric)
elif colortype == 'custom':
# Give ranks of -1 and -2 special meaning
val2_customcolor = {
-1: df2.UNKNOWN_PURP,
-2: df2.LIGHT_BLUE,
}
# Inconsistent but visable colors
scale_max = .7
#consistent colors (needs to know highest K)
#maxval = np.array(metric).max()
#scale_max = .7 * (float(maxval) / 20.0)
colors = df2.scores_to_color(metric,
cmap_=cmap_,
reverse_cmap=reverse_cmap,
scale_max=scale_max,
val2_customcolor=val2_customcolor)
else:
raise ValueError('no known colortype = %r' % (colortype, ))
else:
colors = 'distinct'
viz_chip.show_chip(
ibs,
aid,
color=colors,
darken=darken,
ell_alpha=.8,
#ell_linewidth=4,
ell_linewidth=2,
**kwargs)
df2.set_figtitle(figtitle)
if metric is not None:
cb = df2.colorbar(metric, colors, custom=(colortype == 'custom'))
cb.set_label(lbl)
def plot_chip(self, aid, nRows, nCols, px, **kwargs):
""" Plots an individual chip in a subaxis """
ibs = self.ibs
enable_chip_title_prefix = ut.is_developer()
#enable_chip_title_prefix = False
if aid in self.comp_aids:
score = self.cm.get_annot_scores([aid])[0]
rawscore = self.cm.get_annot_scores([aid])[0]
title_suf = kwargs.get('title_suffix', '')
if score != rawscore:
if score is None:
title_suf += '\n score=____'
else:
title_suf += '\n score=%0.2f' % score
title_suf += '\n rawscore=%0.2f' % rawscore
else:
title_suf = kwargs.get('title_suffix', '')
if enable_chip_title_prefix:
title_suf = '\n' + title_suf
#nid = ibs.get_annot_name_rowids(aid)
viz_chip_kw = {
'fnum': self.fnum,
'pnum': (nRows, nCols, px),
'nokpts': True,
'show_gname': False,
'show_exemplar': False,
'show_num_gt': False,
'show_gname': False,
'title_suffix': title_suf,
# 'text_color': kwargs.get('color'),
###
#'show_name': False,
#'show_aidstr': False,
'enable_chip_title_prefix': enable_chip_title_prefix,
'show_name': True,
'show_aidstr': True,
'show_yawtext': True,
'show_quality_text': True,
}
viz_chip.show_chip(ibs, aid, **viz_chip_kw)
ax = pt.gca()
if kwargs.get('make_buttons', True):
divider = pt.ensure_divider(ax)
butkw = {'divider': divider, 'size': '13%'}
self.aid2_ax = {}
self.aid2_border = {}
if aid in self.comp_aids:
callback = partial(self.select, aid)
self.append_button('Select This Animal',
callback=callback,
**butkw)
#Hack to toggle colors
if aid in self.aid_checkbox_states:
#If we are selecting it, then make it green, otherwise change it back to grey
if self.aid_checkbox_states[aid]:
border = pt.draw_border(ax, color=(0, 1, 0), lw=4)
else:
border = pt.draw_border(ax, color=(.7, .7, .7), lw=4)
self.aid2_border[aid] = border
else:
self.aid_checkbox_states[aid] = False
self.append_button('Examine',
callback=partial(self.examine, aid),
**butkw)