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TarzaNN
TarzaNN neural network simulator
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TarzaNN
TarzaNN neural network simulator
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| addMatrix(Matrix *input) | Matrix | |
| addNoise() | Matrix | |
| addScalar(float item) | Matrix | |
| applyGatingControl(Matrix *theGatingControl) | Matrix | |
| applyIOR(Matrix *theIORMap) | Matrix | |
| applyThreshold(float the_value) | Matrix | |
| applyThresholdAndMark(float value, Matrix *gc) | Matrix | |
| applyThresholdBinarize(float the_value) | Matrix | |
| Array2D() | Array2D< float > | [inline, protected] |
| Array2D(const int nXSize, const int nYSize) | Array2D< float > | [inline] |
| average() | Matrix | |
| changeBrightness(const QImage &image, int brightness) | Matrix | |
| changeBrightnessOp(int value, int brightness) | Matrix | [inline] |
| changeContrast(const QImage &image, int contrast) | Matrix | |
| changeContrastOp(int value, int contrast) | Matrix | [inline] |
| changeGamma(const QImage &image, int gamma) | Matrix | |
| changeGammaOp(int value, int gamma) | Matrix | [inline] |
| changeImage(ChangeOp changeOp, const QImage &image, int value) | Matrix | |
| changeUsingTable(int value, const int table[]) | Matrix | [inline] |
| circularMask() | Matrix | |
| clamp(float the_value) | Matrix | |
| copyData(const Matrix &matrix) | Matrix | |
| created | Matrix | [protected] |
| createKernel(float *kernel) | Matrix | [protected] |
| data | Array2D< float > | [protected] |
| depth | OutputImage | |
| dotProduct(Matrix *otherMatrix) | Matrix | |
| dotSquare() | Matrix | |
| downsample(Matrix *input) | Matrix | |
| downsample_skip(Matrix *input) | Matrix | |
| equals(Matrix *input) | Matrix | |
| equals(Matrix *input, int tol) | Matrix | |
| fpID | OutputImage | |
| fromQImage(QImage *image, bool scale, float min, float max, OutputImage **list=NULL, int outputs=0) | OutputImage | |
| getImage() | Matrix | |
| getImageCopy(uint32_t *x, uint32_t *y, uint32_t *size, void *p) | Matrix | |
| getMaxCoords() | Matrix | |
| getMaxCoordsSpiral() | Matrix | |
| getMaxValue() | Matrix | [inline] |
| getMinValue() | Matrix | |
| getNonZero() | Matrix | |
| getSendSize() | OutputImage | |
| getXSize() | Array2D< float > | [inline] |
| getYSize() | Array2D< float > | [inline] |
| height | Array2D< float > | [protected] |
| incUseCount() | OutputImage | |
| init() | Array2D< float > | [inline] |
| isInUse() | OutputImage | [inline] |
| isZero() | Matrix | |
| Matrix(char *buf) | Matrix | [protected] |
| Matrix(QString fileName, int fileType) | Matrix | [protected] |
| Matrix() | Matrix | [protected] |
| Matrix(const int nXSize, const int nYSize) | Matrix | |
| Matrix(const Matrix &matrix) | Matrix | |
| memorySize | Array2D< float > | [protected] |
| multiplyScalar(float item) | Matrix | |
| normalize(float scale) | Matrix | |
| operator()(uint32_t col, uint32_t row) | Array2D< float > | [inline] |
| operator()(uint32_t col, uint32_t row) const | Array2D< float > | [inline] |
| operator=(const Matrix &matrix) | Matrix | |
| OutputImage(const OutputImage &image) | OutputImage | |
| OutputImage(int w, int h, int id) | OutputImage | |
| OutputImage(char *buf) | OutputImage | |
| printContent() | Matrix | |
| printContentMap() | Matrix | |
| punch_out(int window) | Matrix | |
| read(QDataStream *inStream) | Matrix | |
| rectangleCopy(uint32_t r_w, uint32_t r_h, uint32_t x1, uint32_t y1, Matrix *otherMatrix, uint32_t o_x1, uint32_t o_y1) | Matrix | |
| rectangleFill(uint32_t x, uint32_t y, uint32_t w, uint32_t h, float theValue) | Matrix | |
| release() | OutputImage | |
| resample(Matrix *input, bool skip=false, float fill=0) | Matrix | |
| rowBytes | Array2D< float > | [protected] |
| rows | Array2D< float > | [protected] |
| save(QDataStream *outStream) | Matrix | |
| saveActivations(char *filename) | Matrix | |
| scaleValues(float minScaleValue, float maxScaleValue) | Matrix | |
| serialize(char *buf) | OutputImage | |
| setOne() | Matrix | [inline] |
| setOneSum() | Matrix | |
| setPixels(unsigned char *data) | Matrix | |
| setPixels(int *data) | Matrix | |
| setValue(float value) | Matrix | [inline] |
| setZero() | Matrix | [inline] |
| setZeroMean() | Matrix | |
| shift(int dx, int dy, int fillOption=0) | Matrix | |
| subtractMatrix(Matrix *input) | Matrix | |
| sumAll() | Matrix | [inline] |
| sumAllAbsolute() | Matrix | |
| sumAllPositive() | Matrix | [inline] |
| testfunc() | Array2D< float > | [inline] |
| timeStamp | OutputImage | |
| toQImage(QImage *tmpImage, float max_activation, float *minRealPixelValue=NULL, float *maxRealPixelValue=NULL) | OutputImage | |
| toResizedImage(int newX, int newY) | OutputImage | |
| toScaledQImage(QImage *tmpImage, float min, float max) | OutputImage | |
| toSTMQImage(int max=255) | Matrix | |
| upsample(Matrix *input) | Matrix | |
| upsample_skip(Matrix *input, float fill=0) | Matrix | |
| width | Array2D< float > | [protected] |
| ~Array2D() | Array2D< float > | [inline] |
| ~OutputImage() | OutputImage |
1.7.5.1
