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Floatbot assets added, and nodetunnel being implemented.

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Bo Thompson
2026-02-03 06:59:07 -05:00
parent b90fdaad98
commit e7570c78c3
105 changed files with 14184 additions and 5 deletions
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experimental/BinbunVFX/shared/texture/cracks.ptex Normal file
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"longdesc": "A node that generates several images from a tileable voronoi noise",
"name": "HBAO",
"outputs": [
{
"f": "$(name)_hbao($uv,$radius, $angleBiasDeg, $intensity, vec2(16.0,16.0))",
"longdesc": "A color pattern that assigns a random color to each cell",
"shortdesc": "Random color",
"type": "f"
}
],
"parameters": [
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"control": "None",
"default": 0.01,
"label": "Radius",
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"max": 1,
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"name": "radius",
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"step": 0.01,
"type": "float"
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"control": "None",
"default": 30,
"label": "Angle Bias",
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"max": 90,
"min": 0,
"name": "angleBiasDeg",
"shortdesc": "Angle Bias",
"step": 1,
"type": "float"
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"control": "None",
"default": 0.2,
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"max": 5,
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"shortdesc": "Intensity",
"step": 0.01,
"type": "float"
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"max": 1,
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"step": 0.01,
"type": "float"
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"default": 4,
"label": "Steps",
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"max": 12,
"min": 1,
"name": "quality",
"shortdesc": "Quality",
"step": 1,
"type": "float"
}
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"shortdesc": "Voronoi Noise"
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"name": "param2",
"shortdesc": "Angle bias",
"type": "linked_control"
},
{
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],
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"name": "param3",
"shortdesc": "Depth Scale",
"type": "linked_control"
},
{
"label": "Quality",
"linked_widgets": [
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],
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"name": "param4",
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"type": "linked_control"
},
{
"label": "Intensity",
"linked_widgets": [
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"node": "voronoi_3",
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],
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"name": "param5",
"shortdesc": "Intensity",
"type": "linked_control"
}
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},
{
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"size": 10,
"threshold": 0.7
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"instance": "//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n// Copyright (c) 2018-2019 Michele Morrone\n// All rights reserved.\n//\n// https://michelemorrone.eu - https://BrutPitt.com\n//\n// me@michelemorrone.eu - brutpitt@gmail.com\n// twitter: @BrutPitt - github: BrutPitt\n// \n// https://github.com/BrutPitt/glslSmartDeNoise/\n//\n// This software is distributed under the terms of the BSD 2-Clause license\n//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n// smartDeNoise - parameters\n//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n//\n// sampler2D tex\t - sampler image / texture\n// vec2 uv\t\t - actual fragment coord\n// float sigma > 0 - sigma Standard Deviation\n// float kSigma >= 0 - sigma coefficient \n//\t kSigma * sigma --> radius of the circular kernel\n// float threshold - edge sharpening threshold \nvec4 $(name)_smartDeNoise(vec2 uv, float sigma, float kSigma, float threshold)\n{\n\tfloat INV_SQRT_OF_2PI = 0.39894228040143267793994605993439; // 1.0/SQRT_OF_2PI\n\tfloat INV_PI = 0.31830988618379067153776752674503;\n\tfloat radius = round(kSigma*sigma);\n\tfloat radQ = radius * radius;\n\n\tfloat invSigmaQx2 = .5 / (sigma * sigma);\t // 1.0 / (sigma^2 * 2.0)\n\tfloat invSigmaQx2PI = INV_PI * invSigmaQx2;\t// 1/(2 * PI * sigma^2)\n\n\tfloat invThresholdSqx2 = .5 / (threshold * threshold);\t // 1.0 / (sigma^2 * 2.0)\n\tfloat invThresholdSqrt2PI = INV_SQRT_OF_2PI / threshold; // 1.0 / (sqrt(2*PI) * sigma^2)\n\n\tvec4 centrPx = $in(uv); \n\n\tfloat zBuff = 0.0;\n\tvec4 aBuff = vec4(0.0);\n\tvec2 size = vec2($size, $size);\n\n\tvec2 d;\n\tfor (d.x=-radius; d.x <= radius; d.x++) {\n\t\tfloat pt = sqrt(radQ-d.x*d.x);\t // pt = yRadius: have circular trend\n\t\tfor (d.y=-pt; d.y <= pt; d.y++) {\n\t\t\tfloat blurFactor = exp( -dot(d , d) * invSigmaQx2 ) * invSigmaQx2PI;\n\n\t\t\tvec4 walkPx = $in(uv+d/size);\n\t\t\tvec4 dC = walkPx-centrPx;\n\t\t\tfloat deltaFactor = exp( -dot(dC, dC) * invThresholdSqx2) * invThresholdSqrt2PI * blurFactor;\n\n\t\t\tzBuff += deltaFactor;\n\t\t\taBuff += deltaFactor*walkPx;\n\t\t}\n\t}\n\treturn aBuff/zBuff;\n}",
"longdesc": "A node that generates several images from a tileable voronoi noise",
"name": "Denoiser",
"outputs": [
{
"longdesc": "A color pattern that assigns a random color to each cell",
"rgba": "$(name)_smartDeNoise($uv, $sigma, $ksigma, $threshold)",
"shortdesc": "Random color",
"type": "rgba"
}
],
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"default": 10,
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"label": "size",
"last": 12,
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"name": "size",
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"type": "size"
},
{
"control": "None",
"default": 0.5,
"label": "Sigma",
"max": 1,
"min": 0.005,
"name": "sigma",
"step": 0.1,
"type": "float"
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{
"control": "None",
"default": 0.5,
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"max": 1,
"min": 0,
"name": "ksigma",
"step": 0.1,
"type": "float"
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{
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"default": 0.5,
"label": "threshold",
"max": 1,
"min": 0,
"name": "threshold",
"step": 0.1,
"type": "float"
}
],
"shortdesc": "Voronoi Noise"
},
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