binaryfoundry

from keras.models import Sequential
from keras.layers import Dense
import numpy as np

np.random.seed(7)

NUM_DIGITS = 12

def binary_encode(i, num_digits):
    return np.array([i >> d & 1 for d in range(num_digits)])

binaryfoundry

Shader "CustomPBRShader"
{
    Properties
    {
        [NoScaleOffset] _Albedo("Albedo", Color) = (1.0, 1.0, 1.0, 1.0)
        [NoScaleOffset] _Metalness("Conductivity", Range(0.0, 1.0)) = 0.0
        [NoScaleOffset] _Roughness("Roughness", Range(0.0, 1.0)) = 0.0
        [NoScaleOffset][HDR] _RadianceMap("RadianceMap", CUBE) = "" {}
        [NoScaleOffset][HDR] _IrradianceMap("IrradianceMap", CUBE) = "" {}
    }

binaryfoundry

// http://bearcave.com/misl/misl_tech/wavelets/index.html

class WaveletBase {
  constructor() {
    this.forward = 1;
    this.inverse = 2;
  }
  split(vec, N) {
    var half = N >> 1;
    var vc = vec.slice();

binaryfoundry

#pragma once

#include <stdint.h>
#include <string.h>

#define WAVELET_DIM 512

extern void wavelet_forward_2d(uint8_t *mat, size_t N);
extern void wavelet_inverse_2d(uint8_t *mat, size_t N);

binaryfoundry

//The MIT License

//Copyright (c) 2019-2020, blockulator.

//Permission is hereby granted, free of charge, to any person obtaining a copy
//of this software and associated documentation files (the "Software"), to deal
//in the Software without restriction, including without limitation the rights
//to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
//copies of the Software, and to permit persons to whom the Software is
//furnished to do so, subject to the following conditions: