예제 #1
0
        public ClusterFit(ColourSet colours, SquishFlags flags, float?metric)
            : base(colours, flags)
        {
            // set the iteration count
            m_iterationCount = ((m_flags & SquishFlags.kColourIterativeClusterFit) != 0 ? 8 : 1);

            // initialise the metric (old perceptual = 0.2126f, 0.7152f, 0.0722f)
            if (metric != null)
            {
                //m_metric = Vec4( metric[0], metric[1], metric[2], 1.0f );
            }
            else
            {
                m_metric = new Vector4(1.0f);
            }

            // initialise the best error
            m_besterror = new Vector4(float.MaxValue);

            // cache some values
            int count = m_colours.Count;

            Vector3[] values = m_colours.Points;

            // get the covariance matrix
            Sym3x3 covariance = Sym3x3.ComputeWeightedCovariance(count, values, m_colours.Weights);

            // compute the principle component
            m_principle = Sym3x3.ComputePrincipleComponent(covariance);
        }
        public RangeFit(ColourSet colours, SquishFlags flags, float?metric)
            : base(colours, flags)
        {
            // initialise the metric (old perceptual = 0.2126f, 0.7152f, 0.0722f)
            if (metric != null)
            {
                //m_metric = new Vector3( metric[0], metric[1], metric[2] );
            }
            else
            {
                m_metric = new Vector3(1.0f);
            }

            // initialise the best error
            m_besterror = float.MaxValue;

            // cache some values
            int count = m_colours.Count;

            Vector3[] values  = m_colours.Points;
            float[]   weights = m_colours.Weights;

            // get the covariance matrix
            Sym3x3 covariance = Sym3x3.ComputeWeightedCovariance(count, values, weights);

            // compute the principle component
            Vector3 principle = Sym3x3.ComputePrincipleComponent(covariance);

            // get the min and max range as the codebook endpoints
            Vector3 start = new Vector3(0.0f);
            Vector3 end   = new Vector3(0.0f);

            if (count > 0)
            {
                float min, max;

                // compute the range
                start = end = values[0];
                min   = max = Vector3.Dot(values[0], principle);
                for (int i = 1; i < count; ++i)
                {
                    float val = Vector3.Dot(values[i], principle);
                    if (val < min)
                    {
                        start = values[i];
                        min   = val;
                    }
                    else if (val > max)
                    {
                        end = values[i];
                        max = val;
                    }
                }
            }

            // clamp the output to [0, 1]
            Vector3 one  = new Vector3(1.0f);
            Vector3 zero = new Vector3(0.0f);

            start = Vector3.Min(one, Vector3.Max(zero, start));
            end   = Vector3.Min(one, Vector3.Max(zero, end));

            // clamp to the grid and save
            Vector3 grid    = new Vector3(31.0f, 63.0f, 31.0f);
            Vector3 gridrcp = new Vector3(1.0f / 31.0f, 1.0f / 63.0f, 1.0f / 31.0f);
            Vector3 half    = new Vector3(0.5f);

            m_start = Helpers.Truncate(grid * start + half) * gridrcp;
            m_end   = Helpers.Truncate(grid * end + half) * gridrcp;
        }