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Diffstat (limited to 'modules/noise/noise.cpp')
| -rw-r--r-- | modules/noise/noise.cpp | 116 |
1 files changed, 116 insertions, 0 deletions
diff --git a/modules/noise/noise.cpp b/modules/noise/noise.cpp new file mode 100644 index 0000000000..d14b63f7c8 --- /dev/null +++ b/modules/noise/noise.cpp @@ -0,0 +1,116 @@ +/*************************************************************************/ +/* noise.cpp */ +/*************************************************************************/ +/* This file is part of: */ +/* GODOT ENGINE */ +/* https://godotengine.org */ +/*************************************************************************/ +/* Copyright (c) 2007-2022 Juan Linietsky, Ariel Manzur. */ +/* Copyright (c) 2014-2022 Godot Engine contributors (cf. AUTHORS.md). */ +/* */ +/* 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: */ +/* */ +/* The above copyright notice and this permission notice shall be */ +/* included in all copies or substantial portions of the Software. */ +/* */ +/* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, */ +/* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF */ +/* MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.*/ +/* IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY */ +/* CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, */ +/* TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE */ +/* SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. */ +/*************************************************************************/ + +#include "noise.h" + +Ref<Image> Noise::get_seamless_image(int p_width, int p_height, bool p_invert, bool p_in_3d_space, real_t p_blend_skirt) const { + ERR_FAIL_COND_V(p_width <= 0 || p_height <= 0, Ref<Image>()); + + int skirt_width = p_width * p_blend_skirt; + int skirt_height = p_height * p_blend_skirt; + int src_width = p_width + skirt_width; + int src_height = p_height + skirt_height; + + Ref<Image> src = get_image(src_width, src_height, p_invert, p_in_3d_space); + bool grayscale = (src->get_format() == Image::FORMAT_L8); + if (grayscale) { + return _generate_seamless_image<uint8_t>(src, p_width, p_height, p_invert, p_blend_skirt); + } else { + return _generate_seamless_image<uint32_t>(src, p_width, p_height, p_invert, p_blend_skirt); + } +} + +// Template specialization for faster grayscale blending. +template <> +uint8_t Noise::_alpha_blend<uint8_t>(uint8_t p_bg, uint8_t p_fg, int p_alpha) const { + uint16_t alpha = p_alpha + 1; + uint16_t inv_alpha = 256 - p_alpha; + + return (uint8_t)((alpha * p_fg + inv_alpha * p_bg) >> 8); +} + +Ref<Image> Noise::get_image(int p_width, int p_height, bool p_invert, bool p_in_3d_space) const { + ERR_FAIL_COND_V(p_width <= 0 || p_height <= 0, Ref<Image>()); + + Vector<uint8_t> data; + data.resize(p_width * p_height); + + uint8_t *wd8 = data.ptrw(); + + // Get all values and identify min/max values. + Vector<real_t> values; + values.resize(p_width * p_height); + real_t min_val = 1000; + real_t max_val = -1000; + + for (int y = 0, i = 0; y < p_height; y++) { + for (int x = 0; x < p_width; x++, i++) { + values.set(i, p_in_3d_space ? get_noise_3d(x, y, 0.0) : get_noise_2d(x, y)); + if (values[i] > max_val) { + max_val = values[i]; + } + if (values[i] < min_val) { + min_val = values[i]; + } + } + } + + // Normalize values and write to texture. + uint8_t value; + for (int i = 0, x = 0; i < p_height; i++) { + for (int j = 0; j < p_width; j++, x++) { + if (max_val == min_val) { + value = 0; + } else { + value = uint8_t(CLAMP((values[x] - min_val) / (max_val - min_val) * 255.f, 0, 255)); + } + if (p_invert) { + value = 255 - value; + } + + wd8[x] = value; + } + } + + return memnew(Image(p_width, p_height, false, Image::FORMAT_L8, data)); +} + +void Noise::_bind_methods() { + // Noise functions. + ClassDB::bind_method(D_METHOD("get_noise_1d", "x"), &Noise::get_noise_1d); + ClassDB::bind_method(D_METHOD("get_noise_2d", "x", "y"), &Noise::get_noise_2d); + ClassDB::bind_method(D_METHOD("get_noise_2dv", "v"), &Noise::get_noise_2dv); + ClassDB::bind_method(D_METHOD("get_noise_3d", "x", "y", "z"), &Noise::get_noise_3d); + ClassDB::bind_method(D_METHOD("get_noise_3dv", "v"), &Noise::get_noise_3dv); + + // Textures. + ClassDB::bind_method(D_METHOD("get_image", "width", "height", "invert", "in_3d_space"), &Noise::get_image, DEFVAL(false), DEFVAL(false)); + ClassDB::bind_method(D_METHOD("get_seamless_image", "width", "height", "invert", "in_3d_space", "skirt"), &Noise::get_seamless_image, DEFVAL(false), DEFVAL(false), DEFVAL(0.1)); +} |