fepegar

fepegar

"""
Convert the input of day 12 of Advent of Code 2022 to an STL file.

To install requirements, run:
pip install scikit-image numpy-stl

Usage:
python input_to_mesh.py input.txt output.stl

Example content of input.txt:

fepegar

import torch
import torchio as tio
from einops import rearrange

rows = 16
cols = 28

dataset = tio.datasets.OrganMNIST3D('train')
batch_size = rows * cols
loader = torch.utils.data.DataLoader(dataset, batch_size=batch_size, shuffle=True)

fepegar

fepegar

import torch
import torchio as tio

image4d = tio.Resample()(tio.datasets.FPG().dmri)
collater = torch.utils.data.DataLoader([image4d])
batch = next(iter(collater))
tensor = batch[tio.DATA].float()
dropped = torch.nn.Dropout3d()(tensor)
for i, channel in enumerate(dropped[0]):

fepegar

fepegar

from pathlib import Path

import torch
import torchvision
import numpy as np
from PIL import Image
import torchio as tio
from tqdm import trange

output_dir = Path('/tmp/transformed')

fepegar

fepegar

# Paste this code into the Slicer Python console

pip_install('highresnet')

import SampleData
from highresnet.inference import infer
from highresnet.cli.download_oasis import download_oasis

input_path = download_oasis()
loadVolume(input_path)

fepegar

import numpy as np
import matplotlib.pyplot as plt

def fourier_transform(array: np.ndarray):
    transformed = np.fft.fftn(array)
    fshift = np.fft.fftshift(transformed)
    return fshift

def inv_fourier_transform(fshift: np.ndarray):
    f_ishift = np.fft.ifftshift(fshift)