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] |
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 | |
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() | Matrix | [protected] |
getXSize() | Array2D< float > | [inline] |
getYSize() | Array2D< float > | [inline] |
height | Array2D< float > | [protected] |
init() | Array2D< float > | [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 | |
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 | |
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) | Matrix | [protected] |
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] |
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] |