def disp(self,sampler,interp_type_during_visualization):
level=sampler.level
theta=sampler.theta_current
tw=self.tw
# interval=self.interval
# interval_dense=self.interval_dense
markersize = 5
fontsize=30
cpa_space = tw.ms.L_cpa_space[level]
plt.subplot(231)
sampler.plot_ll()
plt.title('ll',fontsize=fontsize)
sampler.plot_wlp()
sampler.plot_wlp_plus_ll()
if sampler.lp_func:
plt.legend(['ll','wlp','ll+wlp'])
plt.subplot(232)
sampler.plot_ar()
plt.title('accept ratio',fontsize=fontsize)
# print theta
cpa_space.theta2As(theta=theta)
tw.update_pat_from_Avees(level=level)
tw.calc_v(level=level)
tw.v_dense.gpu2cpu()
src = self.src
# dst = self.dst
transformed = self.transformed
# src_dense=self.src_dense
# transformed_dense=self.transformed_dense
# tw.calc_T(src_dense, transformed_dense, mysign=1, level=level,
#
# transformed_dense.gpu2cpu()
tw.calc_T_inv(src, transformed, level=level,
int_quality=+1)
transformed.gpu2cpu()
if interp_type_during_visualization=='gpu_linear':
my_dtype = np.float64
else:
my_dtype = np.float32 # For opencv
img_src = self.signal.src.cpu.reshape(tw.nRows,tw.nCols)
img_src = CpuGpuArray(img_src.astype(my_dtype))
img_wrapped = CpuGpuArray.zeros_like(img_src)
img_dst = self.signal.dst.cpu.reshape(tw.nRows,tw.nCols)
img_dst = CpuGpuArray(img_dst)
if interp_type_during_visualization=='gpu_linear':
tw.remap_fwd(transformed,img_src,img_wrapped)
else:
tw.remap_fwd_opencv(transformed,img_src,img_wrapped,interp_type_during_visualization)
img_wrapped.gpu2cpu()
plt.subplot(233)
plt.imshow(img_src.cpu,interpolation="None")
plt.gray()
cpa_space.plot_cells('r')
tw.config_plt(axis_on_or_off='on')
plt.title(r'$I_{\mathrm{src}}$')
plt.subplot(234)
plt.imshow(img_wrapped.cpu,interpolation="None")
plt.gray()
# cpa_space.plot_cells('w')
tw.config_plt(axis_on_or_off='on')
plt.title(r'$I_{\mathrm{src}}\circ T^{\theta}$')
plt.subplot(235)
plt.imshow(img_dst.cpu,interpolation="None")
plt.gray()
plt.title(r'$I_{\mathrm{dst}}$')
# cpa_space.plot_cells('w')
tw.config_plt(axis_on_or_off='on')
plt.subplot(2,6,11)
self.tw.imshow_vx()
pylab.jet()
tw.config_plt(axis_on_or_off='on')
plt.title(r'$v_x$')
plt.subplot(2,6,12)
self.tw.imshow_vy()
pylab.jet()
tw.config_plt(axis_on_or_off='on')
plt.title(r'$v_y$')
