InversePDE / data /PDE2D /utils /common.py
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import os
from os.path import join
import subprocess
import sys
__SCRIPT_DIR = os.path.realpath(os.path.dirname(__file__))
sys.path.insert(0, join(__SCRIPT_DIR, '../../mitsuba3/build/python/'))
FIGURE_DIR = os.path.realpath(join(__SCRIPT_DIR, '..', 'outputs', 'figures'))
SCENE_DIR = os.path.realpath(join(__SCRIPT_DIR, '..', 'scenes'))
PAPER_FIG_OUTPUT_DIR = os.path.realpath(join(__SCRIPT_DIR, '..', '..', 'phd-thesis', 'chapters'))
del __SCRIPT_DIR
import numpy as np
from string import ascii_lowercase
import drjit as dr
import matplotlib
# Override any style changes by VSCode
if hasattr(matplotlib, "style"):
matplotlib.style.use('default')
# Use double the true size for figures, as this leads to nicer, thinner plot lines
COLUMN_WIDTH = 3.37704722222
TEXT_WIDTH = 7.08743055556
DEFAULT_FONTSIZE = 8 # Font size used by captions in ACM format
DEFAULT_FONTSIZE_SMALL = 6.5
MPL_STYLE = {
"text.usetex": True,
"text.color": 'black',
"font.size": DEFAULT_FONTSIZE,
"axes.titlesize": DEFAULT_FONTSIZE,
"axes.labelsize": DEFAULT_FONTSIZE_SMALL,
"xtick.labelsize": DEFAULT_FONTSIZE_SMALL,
"ytick.labelsize": DEFAULT_FONTSIZE_SMALL,
"legend.fontsize": DEFAULT_FONTSIZE_SMALL,
"figure.titlesize": DEFAULT_FONTSIZE,
"text.latex.preamble": r"""\usepackage{libertine}
\usepackage[libertine]{newtxmath}
\usepackage{amsmath}
\usepackage{amsfonts}
\usepackage{bm}
\usepackage{bbm}""",
"pdf.fonttype": 42,
"ps.fonttype": 42,
'axes.edgecolor':'black',
'axes.linewidth': 0.4,
'xtick.major.size': 0.5,
'xtick.major.width': 0.5,
'xtick.minor.size': 0.25,
'xtick.minor.width': 0.5,
'ytick.major.size': 0.5,
'ytick.major.width': 0.5,
'ytick.minor.size': 0.25,
'ytick.minor.width': 0.5,
'lines.linewidth': 0.75,
'patch.linewidth': 0.5,
'grid.linewidth': 0.5,
}
# MPL_STYLE['savefig.facecolor'] = "0.8"
matplotlib.rcParams.update(MPL_STYLE)
import matplotlib.pyplot as plt
import matplotlib.patheffects as path_effects
#import seaborn as sns
#sns.set()
matplotlib.rcParams.update(MPL_STYLE)
"""
def read_img(fn, exposure=0, tonemap=True, background_color=None,
handle_inexistant_file=False):
if handle_inexistant_file and not os.path.isfile(fn):
return np.ones((256, 256, 3)) * 0.3
bmp = mi.Bitmap(fn)
if tonemap:
if background_color is not None:
img = np.array(bmp.convert(mi.Bitmap.PixelFormat.RGBA, mi.Struct.Type.Float32, False))
background_color = np.array(background_color).ravel()[None, None, :]
# img = img[:, :, :3] * img[..., -1][..., None] + (1.0 - img[..., -1][..., None]) * background_color
img = img[:, :, :3] + (1.0 - img[..., -1][..., None]) * background_color
else:
img = np.array(bmp.convert(mi.Bitmap.PixelFormat.RGB, mi.Struct.Type.Float32, False))
img = img * 2 ** exposure
return np.clip(np.array(mi.Bitmap(img).convert(mi.Bitmap.PixelFormat.RGB, mi.Struct.Type.Float32, True)), 0, 1)
else:
return np.array(bmp)
def tonemap(img):
return np.clip(np.array(mi.Bitmap(img).convert(mi.Bitmap.PixelFormat.RGB, mi.Struct.Type.Float32, True)), 0, 1)
"""
def save_fig(fig_name, fig_sub_dir, dpi=300, pad_inches=0.005, bbox_inches='tight', compress=True):
output_dir = os.path.join(PAPER_FIG_OUTPUT_DIR, fig_sub_dir, fig_name)
os.makedirs(output_dir, exist_ok=True)
fn = join(output_dir, fig_name + '.pdf')
orig_fn = fn
if compress:
fn = fn.replace('.pdf', '_uc.pdf')
plt.savefig(fn, format='pdf', dpi=dpi, bbox_inches=bbox_inches, pad_inches=pad_inches)
# plt.savefig(fn, format='pdf', dpi=dpi)
if compress:
gs = f"gs -o {orig_fn} -dQUIET -f -dNOPAUSE -dBATCH "
gs += "-sDEVICE=pdfwrite -dPDFSETTINGS=/prepress -dCompatibilityLevel=1.6 "
gs += f"-dDownsampleColorImages=false -DownsampleGrayImages=false {fn}"
subprocess.call(gs, shell=True)
return orig_fn
def disable_ticks(ax):
ax.axes.get_xaxis().set_ticklabels([])
ax.axes.get_yaxis().set_ticklabels([])
ax.axes.get_xaxis().set_ticks([])
ax.axes.get_yaxis().set_ticks([])
def disable_border(ax):
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['bottom'].set_visible(False)
ax.spines['left'].set_visible(False)
def apply_color_map(data, cmap='coolwarm', vmin=None, vmax=None):
from matplotlib import cm
data = np.array(data)
if vmin is None:
vmin = np.min(data)
if vmax is None:
vmax = np.max(data)
return getattr(cm, cmap)(plt.Normalize(vmin, vmax)(data))[..., :3]
def time_to_string(duration):
duration = round(duration)
m, s = divmod(duration, 60)
h, m = divmod(m, 60)
d, h = divmod(h, 24)
result = ''
if d > 0:
result += f'{d}d '
if h > 0:
result += f'{h}h '
if m > 0:
result += f'{m}m '
result += f'{s}s'
return result
def set_aspect(ax, aspect):
x_left, x_right = ax.get_xlim()
y_low, y_high = ax.get_ylim()
ax.set_aspect(abs((x_right - x_left) / (y_low - y_high)) * aspect)
def merge_pdfs(fn1, fn2, out_fn):
"""Merges two PDF files"""
from PyPDF2 import PdfReader, PdfWriter
reader_base = PdfReader(fn1)
page_base = reader_base.pages[0]
reader = PdfReader(fn2)
page_box = reader.pages[0]
page_base.merge_page(page_box)
writer = PdfWriter()
writer.add_page(page_base)
with open(out_fn, 'wb') as fp:
writer.write(fp)