def _annotate_roi(hs, ax, cx, sel_cxs, draw_lbls, annote):
# Draw an roi around a chip in the image
roi, theta = hs.cx2_roi(cx), hs.cx2_theta(cx)
if annote:
is_sel = cx in sel_cxs
label = hs.cx2_name(cx)
label = hs.cidstr(cx) if label == '____' else label
label = label if draw_lbls else None
lbl_alpha = .75 if is_sel else .6
bbox_alpha = .95 if is_sel else .6
lbl_color = df2.BLACK * lbl_alpha
bbox_color = (df2.ORANGE if is_sel else df2.DARK_ORANGE) * bbox_alpha
df2.draw_roi(roi, label, bbox_color, lbl_color, theta=theta, ax=ax)
# Index the roi centers (for interaction)
(x, y, w, h) = roi
xy_center = np.array([x + (w / 2), y + (h / 2)])
return xy_center
def _annotate_roi(hs, ax, cx, sel_cxs, draw_lbls, annote):
# Draw an roi around a chip in the image
roi, theta = hs.cx2_roi(cx), hs.cx2_theta(cx)
if annote:
is_sel = cx in sel_cxs
label = hs.cx2_name(cx)
label = hs.cidstr(cx) if label == '____' else label
label = label if draw_lbls else None
lbl_alpha = .75 if is_sel else .6
bbox_alpha = .95 if is_sel else .6
lbl_color = df2.BLACK * lbl_alpha
bbox_color = (df2.ORANGE if is_sel else df2.DARK_ORANGE) * bbox_alpha
df2.draw_roi(roi, label, bbox_color, lbl_color, theta=theta, ax=ax)
# Index the roi centers (for interaction)
(x, y, w, h) = roi
xy_center = np.array([x + (w / 2), y + (h / 2)])
return xy_center
def annotate_chipres(hs,
res,
cx,
showTF=True,
showScore=True,
title_pref='',
title_suff='',
show_2nd_gname=True,
show_2nd_name=True,
show_1st=True,
time_appart=True,
in_image=False,
offset1=(0, 0),
offset2=(0, 0),
show_query=True,
xywh2=None,
**kwargs):
printDBG('[viz] annotate_chipres()')
#print('Did not expect args: %r' % (kwargs.keys(),))
qcx = res.qcx
score = res.cx2_score[cx]
matched_kpts = np.float32(len(res.cx2_fs[cx]))
# print('matched_kpts= %r'%str(matched_kpts))
# TODO Use this function when you clean show_chipres
(truestr, falsestr, nonamestr) = ('TRUE', 'FALSE', '???')
is_true, is_unknown = hs.is_true_match(qcx, cx)
isgt_str = nonamestr if is_unknown else (truestr if is_true else falsestr)
match_color = {
nonamestr: df2.UNKNOWN_PURP,
truestr: df2.TRUE_GREEN,
falsestr: df2.FALSE_RED
}[isgt_str]
# Build title
title = '*%s*' % isgt_str if showTF else ''
if showScore:
score_str = (' score=' + helpers.num_fmt(score)) % (score)
score_str += (' matched_kpts=' +
helpers.num_fmt(matched_kpts)) % (matched_kpts)
title += score_str
title = title_pref + str(title) + title_suff
# Build xlabel
xlabel_ = []
if 'show_1st':
xlabel_.append('top_gname=%r' % hs.cx2_gname(qcx))
xlabel_.append('top_name=%r' % hs.cx2_name(qcx))
if 'show_2nd_gname':
xlabel_.append('\n below_gname=%r' % hs.cx2_gname(cx))
if 'show_2nd_name':
xlabel_.append('below_name=%r' % hs.cx2_name(cx))
if 'time_appart':
xlabel_.append('\n' + hs.get_timedelta_str(qcx, cx))
xlabel = ', '.join(xlabel_)
ax = df2.gca()
ax._hs_viewtype = 'chipres'
ax._hs_qcx = qcx
ax._hs_cx = cx
if NO_LABEL_OVERRIDE:
title = ''
xlabel = ''
df2.set_title(title, ax)
df2.set_xlabel(xlabel, ax)
if in_image:
roi1 = hs.cx2_roi(qcx) + np.array(list(offset1) + [0, 0])
roi2 = hs.cx2_roi(cx) + np.array(list(offset2) + [0, 0])
theta1 = hs.cx2_theta(qcx)
theta2 = hs.cx2_theta(cx)
# HACK!
lbl1 = 'q' + hs.cidstr(qcx)
lbl2 = hs.cidstr(cx)
if show_query:
df2.draw_roi(roi1, bbox_color=df2.ORANGE, label=lbl1, theta=theta1)
df2.draw_roi(roi2, bbox_color=match_color, label=lbl2, theta=theta2)
# No matches draw a red box
if len(res.cx2_fm[cx]) == 0:
df2.draw_boxedX(roi2, theta=theta2)
else:
if xywh2 is None:
xy, w, h = df2._axis_xy_width_height(ax)
xywh2 = (xy[0], xy[1], w, h)
df2.draw_border(ax, match_color, 4, offset=offset2)
# No matches draw a red box
if len(res.cx2_fm[cx]) == 0:
df2.draw_boxedX(xywh2)
def annotate_chipres(hs, res, cx, showTF=True, showScore=True, title_pref='',
title_suff='', show_gname=False, show_name=True,
time_appart=True, in_image=False, offset1=(0, 0),
offset2=(0, 0), show_query=True, xywh2=None, **kwargs):
printDBG('[viz] annotate_chipres()')
#print('Did not expect args: %r' % (kwargs.keys(),))
qcx = res.qcx
score = res.cx2_score[cx]
# TODO Use this function when you clean show_chipres
(truestr, falsestr, nonamestr) = ('TRUE', 'FALSE', '???')
is_true, is_unknown = hs.is_true_match(qcx, cx)
isgt_str = nonamestr if is_unknown else (truestr if is_true else falsestr)
match_color = {nonamestr: df2.UNKNOWN_PURP,
truestr: df2.TRUE_GREEN,
falsestr: df2.FALSE_RED}[isgt_str]
# Build title
title = '*%s*' % isgt_str if showTF else ''
if showScore:
score_str = (' score=' + helpers.num_fmt(score)) % (score)
title += score_str
title = title_pref + str(title) + title_suff
# Build xlabel
xlabel_ = []
if 'show_gname':
xlabel_.append('gname=%r' % hs.cx2_gname(cx))
if 'show_name':
xlabel_.append('name=%r' % hs.cx2_name(cx))
if 'time_appart':
xlabel_.append('\n' + hs.get_timedelta_str(qcx, cx))
xlabel = ', '.join(xlabel_)
ax = df2.gca()
ax._hs_viewtype = 'chipres'
ax._hs_qcx = qcx
ax._hs_cx = cx
if NO_LABEL_OVERRIDE:
title = ''
xlabel = ''
df2.set_title(title, ax)
df2.set_xlabel(xlabel, ax)
if in_image:
roi1 = hs.cx2_roi(qcx) + np.array(list(offset1) + [0, 0])
roi2 = hs.cx2_roi(cx) + np.array(list(offset2) + [0, 0])
theta1 = hs.cx2_theta(qcx)
theta2 = hs.cx2_theta(cx)
# HACK!
lbl1 = 'q' + hs.cidstr(qcx)
lbl2 = hs.cidstr(cx)
if show_query:
df2.draw_roi(roi1, bbox_color=df2.ORANGE, label=lbl1, theta=theta1)
df2.draw_roi(roi2, bbox_color=match_color, label=lbl2, theta=theta2)
# No matches draw a red box
if len(res.cx2_fm[cx]) == 0:
df2.draw_boxedX(roi2, theta=theta2)
else:
if xywh2 is None:
xy, w, h = df2._axis_xy_width_height(ax)
xywh2 = (xy[0], xy[1], w, h)
df2.draw_border(ax, match_color, 4, offset=offset2)
# No matches draw a red box
if len(res.cx2_fm[cx]) == 0:
df2.draw_boxedX(xywh2)