Eli Stevens elistevens

elistevens / pathfinding.py

Last active December 21, 2021 06:42

Pathfinding using A8-like algo, but attempts to minimize damage within a travel budget

	class Path:
	_offset_to_distance: dict[tuple[int, int], float] = {
	(0, 0): 0,
	(0, 1): 1,
	(0, -1): 1,
	(1, 0): 1,
	(1, 1): 2 ** 0.5,
	(1, -1): 2 ** 0.5,
	(-1, 0): 1,
	(-1, 1): 2 ** 0.5,

elistevens / augment.py

Created April 6, 2019 16:11

3D data augmentation from Deep Learning with PyTorch (untested)

	def getCtAugmentedNodule(augmentation_dict, series_uid, center_xyz, width_mm, voxels_int, maxWidth_mm=32.0, use_cache=True):
	assert width_mm <= maxWidth_mm

	if use_cache:
	cubic_chunk, center_irc = getCtCubicChunk(series_uid, center_xyz, maxWidth_mm)
	else:
	ct = getCt(series_uid)
	ct_chunk, center_irc = ct.getCubicInputChunk(center_xyz, maxWidth_mm)

	slice_list = []

elistevens / test_affine.py

Created June 10, 2018 21:24

Tests for volumetric affine grid generation in pytorch

elistevens / affine.py

Created May 12, 2018 05:39

affine grid for volumetric arrays

	import math
	import random
	import warnings

	import numpy as np
	import scipy.ndimage

	import torch
	from torch.autograd import Function
	from torch.autograd.function import once_differentiable

elistevens / gpumemtest.py

Last active May 6, 2017 22:07

	from __future__ import print_function

	import torch

	from torch.nn.parallel.data_parallel import DataParallel
	from torchvision.models import resnet18
	from torch.autograd import Variable

	model_list = [DataParallel(resnet18(), output_device=(i % torch.cuda.device_count())).cuda() for i in range(20)]

elistevens / xdice.py

Created August 5, 2014 21:08

Scratch code that calculates probabilities of dice rolls for the FFG X-Wing minis game.

	import itertools

	def attack(n, rerolls=0, focus=False, r='', p=1.0):
	s = 'CHHHffxx'
	focus = 'h' if focus else None
	result_dict = dice(s, n, r, p)
	result_dict = reroll(result_dict, s, rerolls, focus)
	#print 'attack', n, rerolls, focus, repr(r), p, result_dict

	result_dict = usefocus(result_dict, focus)

elistevens / gist:992452

Created May 26, 2011 02:54

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