def show_hist_submaxima(hist_, edges=None, centers=None, maxima_thresh=.8, pnum=(1, 1, 1)):
r"""
For C++ to show data
Args:
hist_ (?):
edges (None):
centers (None):
CommandLine:
python -m vtool.histogram --test-show_hist_submaxima --show
python -m pyhesaff._pyhesaff --test-test_rot_invar --show
python -m vtool.histogram --test-show_hist_submaxima --dpath figures --save ~/latex/crall-candidacy-2015/figures/show_hist_submaxima.jpg
Example:
>>> # DISABLE_DOCTEST
>>> import plottool as pt
>>> from vtool.histogram import * # NOQA
>>> # build test data
>>> hist_ = np.array(list(map(float, ut.get_argval('--hist', type_=list, default=[1, 4, 2, 5, 3, 3]))))
>>> edges = np.array(list(map(float, ut.get_argval('--edges', type_=list, default=[0, 1, 2, 3, 4, 5, 6]))))
>>> maxima_thresh = ut.get_argval('--maxima_thresh', type_=float, default=.8)
>>> centers = None
>>> # execute function
>>> show_hist_submaxima(hist_, edges, centers, maxima_thresh)
>>> pt.show_if_requested()
"""
#print(repr(hist_))
#print(repr(hist_.shape))
#print(repr(edges))
#print(repr(edges.shape))
#ut.embed()
import plottool as pt
#ut.embed()
if centers is None:
centers = hist_edges_to_centers(edges)
bin_colors = pt.get_orientation_color(centers)
pt.figure(fnum=pt.next_fnum(), pnum=pnum)
POLAR = False
if POLAR:
pt.df2.plt.subplot(*pnum, polar=True, axisbg='#000000')
pt.draw_hist_subbin_maxima(hist_, centers, bin_colors=bin_colors, maxima_thresh=maxima_thresh)
#pt.gca().set_rmax(hist_.max() * 1.1)
#pt.gca().invert_yaxis()
#pt.gca().invert_xaxis()
pt.dark_background()
#if ut.get_argflag('--legend'):
# pt.figure(fnum=pt.next_fnum())
# centers_ = np.append(centers, centers[0])
# r = np.ones(centers_.shape) * .2
# ax = pt.df2.plt.subplot(111, polar=True)
# pt.plots.colorline(centers_, r, cmap=pt.df2.plt.get_cmap('hsv'), linewidth=10)
# #ax.plot(centers_, r, 'm', color=bin_colors, linewidth=100)
# ax.set_rmax(.2)
# #ax.grid(True)
# #ax.set_title("Angle Colors", va='bottom')
title = ut.get_argval('--title', default='')
import plottool as pt
pt.set_figtitle(title)
def TEST_figure1(wpatch, gradx, grady, gmag, gori, hist, centers):
from plottool import draw_func2 as df2
import plottool
import vtool.patch as ptool
print('[rotinvar] 4) Draw histogram with interpolation annotations')
fnum = 1
gorimag = plottool.color_orimag(gori, gmag, True)
nRow, nCol = (2, 7)
df2.figure(fnum=1, pnum=(nRow, 1, nRow), doclf=True, docla=True)
plottool.draw_hist_subbin_maxima(hist, centers)
df2.set_xlabel('grad orientation (radians)')
df2.set_ylabel('grad magnitude')
df2.set_title('dominant orientations')
print('[rotinvar] 5) Show patch, gradients, magintude, and orientation')
df2.imshow(wpatch, pnum=(nRow, nCol, 1), fnum=fnum, title='patch')
df2.draw_vector_field(gradx,
grady,
pnum=(nRow, nCol, 2),
fnum=fnum,
title='gori (vec)')
df2.imshow(gorimag, pnum=(nRow, nCol, 3), fnum=fnum, title='gori (col)')
df2.imshow(np.abs(gradx), pnum=(nRow, nCol, 4), fnum=fnum, title='gradx')
df2.imshow(np.abs(grady), pnum=(nRow, nCol, 5), fnum=fnum, title='grady')
df2.imshow(gmag, pnum=(nRow, nCol, 6), fnum=fnum, title='gmag')
gpatch = ptool.gaussian_patch(shape=gori.shape)
df2.imshow(gpatch * 255,
pnum=(nRow, nCol, 7),
fnum=fnum,
title='gauss weights',
cmap_='hot')
#gpatch3 = np.dstack((gpatch, gpatch, gpatch))
#df2.draw_vector_field(gradx * gpatch, grady * gpatch, pnum=(nRow, nCol, 8), fnum=fnum, title='gori (vec)')
#df2.imshow(gorimag * gpatch3, pnum=(nRow, nCol, 9), fnum=fnum, title='gori (col)')
#df2.imshow(gradx * gpatch, pnum=(nRow, nCol, 10), fnum=fnum, title='gradx')
#df2.imshow(grady * gpatch, pnum=(nRow, nCol, 11), fnum=fnum, title='grady')
#df2.imshow(gmag * gpatch, pnum=(nRow, nCol, 12), fnum=fnum, title='gmag')
return locals()
def show_hist_submaxima(hist_,
edges=None,
centers=None,
maxima_thresh=.8,
pnum=(1, 1, 1)):
r"""
For C++ to show data
Args:
hist_ (?):
edges (None):
centers (None):
CommandLine:
python -m vtool.histogram --test-show_hist_submaxima --show
python -m pyhesaff._pyhesaff --test-test_rot_invar --show
python -m vtool.histogram --test-show_hist_submaxima --dpath figures --save ~/latex/crall-candidacy-2015/figures/show_hist_submaxima.jpg
Example:
>>> # DISABLE_DOCTEST
>>> import plottool as pt
>>> from vtool.histogram import * # NOQA
>>> # build test data
>>> hist_ = np.array(list(map(float, ut.get_argval('--hist', type_=list, default=[1, 4, 2, 5, 3, 3]))))
>>> edges = np.array(list(map(float, ut.get_argval('--edges', type_=list, default=[0, 1, 2, 3, 4, 5, 6]))))
>>> maxima_thresh = ut.get_argval('--maxima_thresh', type_=float, default=.8)
>>> centers = None
>>> # execute function
>>> show_hist_submaxima(hist_, edges, centers, maxima_thresh)
>>> pt.show_if_requested()
"""
#print(repr(hist_))
#print(repr(hist_.shape))
#print(repr(edges))
#print(repr(edges.shape))
#ut.embed()
import plottool as pt
#ut.embed()
if centers is None:
centers = hist_edges_to_centers(edges)
bin_colors = pt.get_orientation_color(centers)
pt.figure(fnum=pt.next_fnum(), pnum=pnum)
POLAR = False
if POLAR:
pt.df2.plt.subplot(*pnum, polar=True, axisbg='#000000')
pt.draw_hist_subbin_maxima(hist_,
centers,
bin_colors=bin_colors,
maxima_thresh=maxima_thresh)
#pt.gca().set_rmax(hist_.max() * 1.1)
#pt.gca().invert_yaxis()
#pt.gca().invert_xaxis()
pt.dark_background()
#if ut.get_argflag('--legend'):
# pt.figure(fnum=pt.next_fnum())
# centers_ = np.append(centers, centers[0])
# r = np.ones(centers_.shape) * .2
# ax = pt.df2.plt.subplot(111, polar=True)
# pt.plots.colorline(centers_, r, cmap=pt.df2.plt.get_cmap('hsv'), linewidth=10)
# #ax.plot(centers_, r, 'm', color=bin_colors, linewidth=100)
# ax.set_rmax(.2)
# #ax.grid(True)
# #ax.set_title("Angle Colors", va='bottom')
title = ut.get_argval('--title', default='')
import plottool as pt
pt.set_figtitle(title)
