2167b977de
The previous RGBA format included unused RGB data. Using the LA8 format
removes the need to store the extra data.
The Docs have been updated to reflect the format changes.
(cherry picked from commit 041fe20f64)
259 lines
8.2 KiB
C++
259 lines
8.2 KiB
C++
/*************************************************************************/
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/* open_simplex_noise.cpp */
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/*************************************************************************/
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/* This file is part of: */
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/* GODOT ENGINE */
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/* https://godotengine.org */
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/*************************************************************************/
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/* Copyright (c) 2007-2021 Juan Linietsky, Ariel Manzur. */
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/* Copyright (c) 2014-2021 Godot Engine contributors (cf. AUTHORS.md). */
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/* */
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/* Permission is hereby granted, free of charge, to any person obtaining */
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/* a copy of this software and associated documentation files (the */
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/* "Software"), to deal in the Software without restriction, including */
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/* without limitation the rights to use, copy, modify, merge, publish, */
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/* distribute, sublicense, and/or sell copies of the Software, and to */
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/* permit persons to whom the Software is furnished to do so, subject to */
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/* the following conditions: */
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/* */
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/* The above copyright notice and this permission notice shall be */
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/* included in all copies or substantial portions of the Software. */
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/* */
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/* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, */
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/* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF */
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/* MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.*/
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/* IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY */
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/* CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, */
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/* TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE */
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/* SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. */
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/*************************************************************************/
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#include "open_simplex_noise.h"
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#include "core/core_string_names.h"
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OpenSimplexNoise::OpenSimplexNoise() {
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seed = 0;
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persistence = 0.5;
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octaves = 3;
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period = 64;
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lacunarity = 2.0;
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_init_seeds();
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}
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OpenSimplexNoise::~OpenSimplexNoise() {
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}
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void OpenSimplexNoise::_init_seeds() {
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for (int i = 0; i < MAX_OCTAVES; ++i) {
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open_simplex_noise(seed + i * 2, &(contexts[i]));
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}
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}
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void OpenSimplexNoise::set_seed(int p_seed) {
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if (seed == p_seed)
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return;
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seed = p_seed;
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_init_seeds();
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emit_changed();
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}
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int OpenSimplexNoise::get_seed() const {
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return seed;
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}
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void OpenSimplexNoise::set_octaves(int p_octaves) {
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if (p_octaves == octaves) return;
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ERR_FAIL_COND_MSG(p_octaves > MAX_OCTAVES, vformat("The number of OpenSimplexNoise octaves is limited to %d; ignoring the new value.", MAX_OCTAVES));
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octaves = CLAMP(p_octaves, 1, MAX_OCTAVES);
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emit_changed();
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}
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void OpenSimplexNoise::set_period(float p_period) {
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if (p_period == period) return;
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period = p_period;
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emit_changed();
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}
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void OpenSimplexNoise::set_persistence(float p_persistence) {
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if (p_persistence == persistence) return;
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persistence = p_persistence;
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emit_changed();
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}
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void OpenSimplexNoise::set_lacunarity(float p_lacunarity) {
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if (p_lacunarity == lacunarity) return;
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lacunarity = p_lacunarity;
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emit_changed();
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}
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Ref<Image> OpenSimplexNoise::get_image(int p_width, int p_height) const {
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PoolVector<uint8_t> data;
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data.resize(p_width * p_height);
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PoolVector<uint8_t>::Write wd8 = data.write();
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for (int i = 0; i < p_height; i++) {
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for (int j = 0; j < p_width; j++) {
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float v = get_noise_2d(i, j);
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v = v * 0.5 + 0.5; // Normalize [0..1]
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wd8[(i * p_width + j)] = uint8_t(CLAMP(v * 255.0, 0, 255));
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}
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}
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Ref<Image> image = memnew(Image(p_width, p_height, false, Image::FORMAT_L8, data));
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return image;
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}
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Ref<Image> OpenSimplexNoise::get_seamless_image(int p_size) const {
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PoolVector<uint8_t> data;
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data.resize(p_size * p_size);
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PoolVector<uint8_t>::Write wd8 = data.write();
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for (int i = 0; i < p_size; i++) {
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for (int j = 0; j < p_size; j++) {
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float ii = (float)i / (float)p_size;
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float jj = (float)j / (float)p_size;
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ii *= 2.0 * Math_PI;
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jj *= 2.0 * Math_PI;
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float radius = p_size / (2.0 * Math_PI);
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float x = radius * Math::sin(jj);
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float y = radius * Math::cos(jj);
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float z = radius * Math::sin(ii);
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float w = radius * Math::cos(ii);
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float v = get_noise_4d(x, y, z, w);
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v = v * 0.5 + 0.5; // Normalize [0..1]
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wd8[(i * p_size + j)] = uint8_t(CLAMP(v * 255.0, 0, 255));
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}
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}
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Ref<Image> image = memnew(Image(p_size, p_size, false, Image::FORMAT_L8, data));
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return image;
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}
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void OpenSimplexNoise::_bind_methods() {
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ClassDB::bind_method(D_METHOD("get_seed"), &OpenSimplexNoise::get_seed);
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ClassDB::bind_method(D_METHOD("set_seed", "seed"), &OpenSimplexNoise::set_seed);
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ClassDB::bind_method(D_METHOD("set_octaves", "octave_count"), &OpenSimplexNoise::set_octaves);
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ClassDB::bind_method(D_METHOD("get_octaves"), &OpenSimplexNoise::get_octaves);
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ClassDB::bind_method(D_METHOD("set_period", "period"), &OpenSimplexNoise::set_period);
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ClassDB::bind_method(D_METHOD("get_period"), &OpenSimplexNoise::get_period);
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ClassDB::bind_method(D_METHOD("set_persistence", "persistence"), &OpenSimplexNoise::set_persistence);
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ClassDB::bind_method(D_METHOD("get_persistence"), &OpenSimplexNoise::get_persistence);
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ClassDB::bind_method(D_METHOD("set_lacunarity", "lacunarity"), &OpenSimplexNoise::set_lacunarity);
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ClassDB::bind_method(D_METHOD("get_lacunarity"), &OpenSimplexNoise::get_lacunarity);
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ClassDB::bind_method(D_METHOD("get_image", "width", "height"), &OpenSimplexNoise::get_image);
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ClassDB::bind_method(D_METHOD("get_seamless_image", "size"), &OpenSimplexNoise::get_seamless_image);
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ClassDB::bind_method(D_METHOD("get_noise_1d", "x"), &OpenSimplexNoise::get_noise_1d);
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ClassDB::bind_method(D_METHOD("get_noise_2d", "x", "y"), &OpenSimplexNoise::get_noise_2d);
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ClassDB::bind_method(D_METHOD("get_noise_3d", "x", "y", "z"), &OpenSimplexNoise::get_noise_3d);
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ClassDB::bind_method(D_METHOD("get_noise_4d", "x", "y", "z", "w"), &OpenSimplexNoise::get_noise_4d);
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ClassDB::bind_method(D_METHOD("get_noise_2dv", "pos"), &OpenSimplexNoise::get_noise_2dv);
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ClassDB::bind_method(D_METHOD("get_noise_3dv", "pos"), &OpenSimplexNoise::get_noise_3dv);
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ADD_PROPERTY(PropertyInfo(Variant::INT, "seed"), "set_seed", "get_seed");
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ADD_PROPERTY(PropertyInfo(Variant::INT, "octaves", PROPERTY_HINT_RANGE, vformat("1,%d,1", MAX_OCTAVES)), "set_octaves", "get_octaves");
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ADD_PROPERTY(PropertyInfo(Variant::REAL, "period", PROPERTY_HINT_RANGE, "0.1,256.0,0.1"), "set_period", "get_period");
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ADD_PROPERTY(PropertyInfo(Variant::REAL, "persistence", PROPERTY_HINT_RANGE, "0.0,1.0,0.001"), "set_persistence", "get_persistence");
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ADD_PROPERTY(PropertyInfo(Variant::REAL, "lacunarity", PROPERTY_HINT_RANGE, "0.1,4.0,0.01"), "set_lacunarity", "get_lacunarity");
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}
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float OpenSimplexNoise::get_noise_1d(float x) const {
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return get_noise_2d(x, 1.0);
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}
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float OpenSimplexNoise::get_noise_2d(float x, float y) const {
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x /= period;
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y /= period;
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float amp = 1.0;
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float max = 1.0;
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float sum = _get_octave_noise_2d(0, x, y);
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int i = 0;
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while (++i < octaves) {
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x *= lacunarity;
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y *= lacunarity;
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amp *= persistence;
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max += amp;
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sum += _get_octave_noise_2d(i, x, y) * amp;
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}
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return sum / max;
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}
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float OpenSimplexNoise::get_noise_3d(float x, float y, float z) const {
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x /= period;
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y /= period;
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z /= period;
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float amp = 1.0;
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float max = 1.0;
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float sum = _get_octave_noise_3d(0, x, y, z);
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int i = 0;
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while (++i < octaves) {
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x *= lacunarity;
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y *= lacunarity;
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z *= lacunarity;
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amp *= persistence;
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max += amp;
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sum += _get_octave_noise_3d(i, x, y, z) * amp;
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}
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return sum / max;
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}
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float OpenSimplexNoise::get_noise_4d(float x, float y, float z, float w) const {
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x /= period;
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y /= period;
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z /= period;
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w /= period;
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float amp = 1.0;
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float max = 1.0;
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float sum = _get_octave_noise_4d(0, x, y, z, w);
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int i = 0;
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while (++i < octaves) {
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x *= lacunarity;
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y *= lacunarity;
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z *= lacunarity;
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w *= lacunarity;
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amp *= persistence;
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max += amp;
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sum += _get_octave_noise_4d(i, x, y, z, w) * amp;
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}
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return sum / max;
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}
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