def _select_ith_kpt(fx):
print_('[interact] viewing ith=%r keypoint' % fx)
# Get the fx-th keypiont
kp, sift = kpts[fx], desc[fx]
# Draw the image with keypoint fx highlighted
_viz_keypoints(fnum, (2, 1, 1), sel_fx=fx)
# Draw the selected feature
nRows, nCols, px = (2, 3, 3)
viz.draw_feat_row(rchip, fx, kp, sift, fnum, nRows, nCols, px, None)
def _select_ith_kpt(fx):
# Get the fx-th keypiont
kpts = hs.get_kpts(cx)
desc = hs.get_desc(cx)
kp, sift = kpts[fx], desc[fx]
# Draw chip + keypoints + highlighted plots
_chip_view(pnum=(2, 1, 1), sel_fx=fx)
# Draw the selected feature plots
nRows, nCols, px = (2, 3, 3)
viz.draw_feat_row(rchip, fx, kp, sift, fnum, nRows, nCols, px, None)
def _select_ith_match(mx, qcx, cx):
#----------------------
# Get info for the _select_ith_match plot
annote_ptr[0] = 1
# Get the mx-th feature match
cx1, cx2 = qcx, cx
fx1, fx2 = fm[mx]
fscore2 = res.cx2_fs[cx2][mx]
fk2 = res.cx2_fk[cx2][mx]
kpts1, kpts2 = hs.get_kpts([cx1, cx2])
desc1, desc2 = hs.get_desc([cx1, cx2])
kp1, kp2 = kpts1[fx1], kpts2[fx2]
sift1, sift2 = desc1[fx1], desc2[fx2]
info1 = '\nquery'
info2 = '\nk=%r fscore=%r' % (fk2, fscore2)
last_state.last_fx = fx1
# Extracted keypoints to draw
extracted_list = [(rchip1, kp1, sift1, fx1, cx1, info1),
(rchip2, kp2, sift2, fx2, cx2, info2)]
# Normalizng Keypoint
if hasattr(res, 'filt2_meta') and 'lnbnn' in res.filt2_meta:
qfx2_norm = res.filt2_meta['lnbnn']
# Normalizing chip and feature
(cx3, fx3, normk) = qfx2_norm[fx1]
rchip3 = hs.get_chip(cx3)
kp3 = hs.get_kpts(cx3)[fx3]
sift3 = hs.get_desc(cx3)[fx3]
info3 = '\nnorm %s k=%r' % (hs.cidstr(cx3), normk)
extracted_list.append((rchip3, kp3, sift3, fx3, cx3, info3))
else:
print('WARNING: meta doesnt exist')
#----------------------
# Draw the _select_ith_match plot
nRows, nCols = len(extracted_list) + same_fig, 3
# Draw matching chips and features
sel_fm = np.array([(fx1, fx2)])
pnum1 = (nRows, 1, 1) if same_fig else (1, 1, 1)
_chipmatch_view(pnum1, vert=False, ell_alpha=.4, ell_linewidth=1.8,
colors=df2.BLUE, sel_fm=sel_fm, **kwargs)
# Draw selected feature matches
px = nCols * same_fig # plot offset
prevsift = None
if not same_fig:
fnum2 = fnum + len(viz.FNUMS)
fig2 = df2.figure(fnum=fnum2, docla=True, doclf=True)
else:
fnum2 = fnum
for (rchip, kp, sift, fx, cx, info) in extracted_list:
px = viz.draw_feat_row(rchip, fx, kp, sift, fnum2, nRows, nCols, px,
prevsift=prevsift, cx=cx, info=info)
prevsift = sift
if not same_fig:
df2.connect_callback(fig2, 'button_press_event', _click_chipres_click)
df2.set_figtitle(figtitle + hs.vs_str(qcx, cx))
