【UnityShader】2D像素风格

摘自GitHub项目,地址https://github.com/dingxiaowei/AladdinShader

//-----------------------------------------------【Shader说明】--------------------------------------------------------
//     Shader功能:   2D像素风格
//       核心思路:   对UV进行放大,然后截取整数部分,然后再缩回原大小,UV精度丢失,就形成马赛克效果
//---------------------------------------------------------------------------------------------------------------------

Shader "2D像素风格" {
    Properties
    {
        _MainTex("Texture", 2D) = "white" {}
        _PixelSize("Pixel Size", Range(1,256)) = 64
    }
        SubShader
        {
            Tags { "Queue" = "Transparent" }
            Blend SrcAlpha OneMinusSrcAlpha

            Pass
            {
                CGPROGRAM
                #pragma vertex vert
                #pragma fragment frag

                #include "UnityCG.cginc"

                struct appdata
                {
                    float4 vertex : POSITION;
                    float2 uv : TEXCOORD0;
                };

                struct v2f
                {
                    float2 uv : TEXCOORD0;
                    float4 vertex : SV_POSITION;
                };

                sampler2D _MainTex;
                float4 _MainTex_ST;
                float _PixelSize;

                v2f vert(appdata v)
                {
                    v2f o;
                    o.vertex = UnityObjectToClipPos(v.vertex);
                    o.uv = TRANSFORM_TEX(v.uv, _MainTex);
                    return o;
                }

                fixed4 frag(v2f i) : SV_Target
                {
                    fixed4 col;

                    float ratioX = (int)(i.uv.x * _PixelSize) / _PixelSize;
                    float ratioY = (int)(i.uv.y * _PixelSize) / _PixelSize;

                    col = tex2D(_MainTex, float2(ratioX, ratioY));

                    if (col.a < 0.5)
                    {
                        col.a = 0;
                    }

                    return col;
                }
                ENDCG
            }
        }
}

原文地址:https://www.cnblogs.com/weigangblog/p/13223766.html