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from PDE3D.Coefficient import *
from PDE3D.BoundaryShape import *
from PDE3D.utils import *
import os
def plot_coeff(coeff : Coefficient, shape : Shape,
input_range, path : str, tag : str,
slice_ax = "z", cam_res = [512, 512], spp=128, cam_origin = mi.ScalarPoint3f([7,7,10]),
cam_target = mi.ScalarPoint3f([0.0,0.0,0.0]), cam_up = mi.ScalarPoint3f([0,1,0]), scale_cam = 1/5,
cmap = "viridis", start_slice = -3.5, end_slice =3.0, num_slices = 9):
slices = []
offsets = np.linspace(start_slice, end_slice, num_slices)
for offset in offsets:
slices.append(Slice(offset = offset, scale = 9, axis = slice_ax,))
fig, ax = plt.subplots(num_slices//3, 3, figsize = (12, (num_slices//3) * 4))
for i in range(num_slices):
r = i // 3
c = i % 3
coeff3D, coeff_norm = shape.visualize(colormap = cmap, cam_origin= cam_origin, spp = spp, image_res = cam_res,
scale_cam=scale_cam, cam_up = cam_up, slice = slices[i], cam_target = cam_target, coeff=coeff,
input_range = input_range)
plot_image_3D(coeff3D, ax[r,c], norm = coeff_norm, cmap = cmap)
plt.savefig(os.path.join(path, f"{tag}.pdf"), dpi = 250)
def plot_summary(loss_list, path, log = False, save_npy = True):
losses = np.array(loss_list)
if save_npy:
np.save(os.path.join(path, "losses.npy"),losses)
fig, (ax1, ax2) = plt.subplots(1, 2, figsize = (16, 5))
loss_all = losses.sum(axis = 1).squeeze()
iters = np.arange(0, len(loss_all))
ax1.plot(iters, loss_all)
ax1.grid()
ax1.set_title("Sum of All Setups")
for i in range(losses.shape[1]):
ax2.plot(iters, losses[:,i], label = f"Setup {i}")
ax2.grid()
#ax2.legend()
if log:
ax1.set_yscale("log")
ax2.set_yscale("log")
ax2.set_title("Across different setups")
fig.suptitle("Evolution of the loss function")
path_loss_pdf = os.path.join(path, "loss")
if log:
fig.savefig(f"{path_loss_pdf}-log-setups.pdf", bbox_inches='tight', pad_inches=0.04, dpi=300)
else:
fig.savefig(f"{path_loss_pdf}-lin-setups.pdf", bbox_inches='tight', pad_inches=0.04, dpi=300)
plt.close(fig)