Ejemplo n.º 1
0
        public int PredictionEnTransformXor(Foreseer foreseer)
        {
            IntField orig = this.Clone();

            foreseer.Initialize(orig);
            int wrongPredictions = 0;

            int p = 0;

            for (int y = 0; y < Height; y++)
            {
                for (int x = 0; x < Width; x++, p++)
                {
                    int predicted = foreseer.Foresee(orig, x, y);
                    Data[p] = orig.Data[p] ^ predicted;
                    if (Data[p] != 0)
                    {
                        wrongPredictions++;
                    }
                    foreseer.Learn(orig, x, y, orig.Data[p], predicted);
                }
            }

            return(wrongPredictions);
        }
Ejemplo n.º 2
0
        public override int Foresee(IntField image, int x, int y)
        {
            _curArea = ExtractArea(image, x, y);

            if (_curArea == null)
            {
                return(_fallback.Foresee(image, x, y));
            }

            if (_history.ContainsKey(_curArea))
            {
                return(_history[_curArea].Predicted());
            }
            else
            {
                return(_fallback.Foresee(image, x, y));
            }
        }
Ejemplo n.º 3
0
        public override int Foresee(IntField image, int x, int y)
        {
            _curArea = ExtractArea(image, x, y, out _curMostFreqSymbol, out _curSecondFreqSymbol);

            if (_curArea == null)
            {
                return(_fallback.Foresee(image, x, y));
            }

            if (_history.ContainsKey(_curArea))
            {
                return(_history[_curArea].MostFrequent > _history[_curArea].Other ? _curMostFreqSymbol : _curSecondFreqSymbol);
            }
            else
            {
                return(_fallback.Foresee(image, x, y));
            }
        }
Ejemplo n.º 4
0
        public void PredictionDeTransformXor(Foreseer foreseer)
        {
            IntField diff = this.Clone();

            foreseer.Initialize(this);

            int p = 0;

            for (int y = 0; y < Height; y++)
            {
                for (int x = 0; x < Width; x++, p++)
                {
                    int predicted = foreseer.Foresee(this, x, y);
                    Data[p] = diff.Data[p] ^ predicted;
                    foreseer.Learn(this, x, y, this.Data[p], predicted);
                }
            }
        }
Ejemplo n.º 5
0
        public void Prediction(Foreseer foreseer)
        {
            IntField orig = this.Clone();

            foreseer.Initialize(orig);

            int p = 0;

            for (int y = 0; y < Height; y++)
            {
                for (int x = 0; x < Width; x++, p++)
                {
                    int predicted = foreseer.Foresee(orig, x, y);
                    Data[p] = predicted;
                    foreseer.Learn(orig, x, y, orig.Data[p], predicted);
                }
            }
        }
Ejemplo n.º 6
0
        public override int Foresee(IntField image, int x, int y)
        {
            double conf0 = 0, conf1 = 0, conf2 = 0, conf3 = 0;

            foreach (var size in _sizes)
            {
                ulong hash = HashImageRegion(image, x, y, size.Width, size.Height);
                uint  c0, c1, c2, c3;
                _hashtable.GetCounts(hash, out c0, out c1, out c2, out c3);
                double total = c0 + c1 + c2 + c3;
                if (total == 0)
                {
                    continue;
                }
                double wt = Math.Sqrt(size.Width * size.Height);
                conf0 += c0 / total * wt;
                conf1 += c1 / total * wt;
                conf2 += c2 / total * wt;
                conf3 += c3 / total * wt;
            }

            if (conf0 == 0 && conf1 == 0 && conf2 == 0 && conf3 == 0)
            {
                return(_fallback.Foresee(image, x, y));
            }
            else if (conf0 >= conf1 && conf0 >= conf2 && conf0 >= conf3)
            {
                return(0);
            }
            else if (conf1 >= conf2 && conf1 >= conf3)
            {
                return(1);
            }
            else if (conf2 >= conf3)
            {
                return(2);
            }
            else
            {
                return(3);
            }
        }
Ejemplo n.º 7
0
        public void PredictionEnTransformDiff(Foreseer foreseer, int modulus)
        {
            IntField orig = this.Clone();

            foreseer.Initialize(orig);

            int p = 0;

            for (int y = 0; y < Height; y++)
            {
                for (int x = 0; x < Width; x++, p++)
                {
                    int predicted = foreseer.Foresee(orig, x, y);
                    Data[p] = orig.Data[p] - predicted;
                    if (Data[p] < 0)
                    {
                        Data[p] += modulus;
                    }
                    foreseer.Learn(orig, x, y, orig.Data[p], predicted);
                }
            }
        }
Ejemplo n.º 8
0
        public override int Foresee(IntField image, int x, int y)
        {
            _curAreas.Clear();
            for (int h = _height; h >= 1; h--)
            {
                var area = ExtractArea(image, x, y, h);
                if (area != null)
                {
                    _curAreas.Add(area);
                }
            }

            foreach (var area in _curAreas)
            {
                ColorFrequencies cf;
                if (_history.TryGetValue(area, out cf))
                {
                    return(cf.Predicted());
                }
            }

            return(_fallback.Foresee(image, x, y));
        }