- BackProp (class in bob.learn.mlp)
- backward_step() (bob.learn.mlp.BackProp method)
- (bob.learn.mlp.RProp method)
- (bob.learn.mlp.Trainer method)
- base (bob.blitz.array attribute)
- (C++ member), [1]
- batch_size (bob.learn.mlp.BackProp attribute)
- (bob.learn.mlp.RProp attribute)
- (bob.learn.mlp.Trainer attribute)
- best_detection() (in module bob.ip.facedetect)
- bias_deltas (bob.learn.mlp.RProp attribute)
- bias_derivatives (bob.learn.mlp.BackProp attribute)
- (bob.learn.mlp.RProp attribute)
- (bob.learn.mlp.Trainer attribute)
- biases (bob.learn.linear.Machine attribute)
- (bob.learn.mlp.Machine attribute)
- bic_intra_extra_pairs() (in module bob.learn.linear)
- BICMachine (class in bob.learn.linear)
- BICTrainer (class in bob.learn.linear)
- binomial (class in bob.core.random)
- bins (bob.ip.base.HOG attribute)
- (bob.ip.base.SIFT attribute)
- bit_rate (bob.io.video.writer attribute)
- BLITZ_ARRAY_MAXDIMS (C macro)
- block() (in module bob.ip.base)
- block_norm (bob.ip.base.HOG attribute)
- block_norm_eps (bob.ip.base.HOG attribute)
- block_norm_threshold (bob.ip.base.HOG attribute)
- block_output_shape() (in module bob.ip.base)
- block_overlap (bob.ip.base.DCTFeatures attribute)
- (bob.ip.base.HOG attribute)
- (bob.ip.base.LBP attribute)
- block_size (bob.ip.base.DCTFeatures attribute)
- (bob.ip.base.HOG attribute)
- (bob.ip.base.LBP attribute)
- (bob.ip.base.VLDSIFT attribute)
- BlockNorm (class in bob.ip.base)
- blocks (bob.ip.base.SIFT attribute)
- bob.ap (module)
- bob.blitz (module)
- bob.core.log (module)
- bob.core.random (module)
- bob.db.atnt (module)
- bob.db.base (module)
- bob.db.base.driver (module)
- bob.db.base.utils (module)
- bob.db.iris (module)
- bob.db.mnist (module)
- bob.db.wine (module)
- bob.io.base (module)
- bob.io.image (module)
- bob.io.matlab (module)
- bob.io.video (module)
- bob.ip.base (module)
- bob.ip.color (module)
- bob.ip.draw (module)
- bob.ip.facedetect (module)
- bob.ip.gabor (module)
- bob.ip.optflow.hornschunck (module)
- bob.ip.optflow.liu (module)
- bob.ip.optflow.liu.cg (module)
- bob.ip.optflow.liu.sor (module)
- bob.learn.activation (module)
- bob.learn.boosting (module)
- bob.learn.em (module)
- bob.learn.libsvm (module)
- bob.learn.linear (module)
- bob.learn.mlp (module)
- bob.math (module)
- bob.measure (module)
- bob.measure.calibration (module)
- bob.measure.load (module)
- bob.measure.plot (module)
- bob.sp (module)
- bob::ip::gabor::Graph (C++ class)
- bob::ip::gabor::Graph::extract (C++ function)
- bob::ip::gabor::Graph::Graph (C++ function), [1], [2]
- bob::ip::gabor::Graph::load (C++ function)
- bob::ip::gabor::Graph::nodes (C++ function), [1]
- bob::ip::gabor::Graph::save (C++ function)
- bob::ip::gabor::Jet (C++ class)
- bob::ip::gabor::Jet::abs (C++ function)
- bob::ip::gabor::Jet::complex (C++ function)
- bob::ip::gabor::Jet::Jet (C++ function), [1], [2], [3]
- bob::ip::gabor::Jet::jet (C++ function)
- bob::ip::gabor::Jet::length (C++ function)
- bob::ip::gabor::Jet::load (C++ function)
- bob::ip::gabor::Jet::normalize (C++ function)
- bob::ip::gabor::Jet::phase (C++ function)
- bob::ip::gabor::Jet::save (C++ function)
- bob::ip::gabor::Similarity (C++ class)
- bob::ip::gabor::Similarity::disparity (C++ function), [1]
- bob::ip::gabor::Similarity::load (C++ function)
- bob::ip::gabor::Similarity::save (C++ function)
- bob::ip::gabor::Similarity::shift_phase (C++ function)
- bob::ip::gabor::Similarity::Similarity (C++ function)
- bob::ip::gabor::Similarity::similarity (C++ function)
- bob::ip::gabor::Similarity::SimilarityType (C++ class)
- bob::ip::gabor::Transform (C++ class)
- bob::ip::gabor::Transform::generateWavelets (C++ function)
- bob::ip::gabor::Transform::load (C++ function)
- bob::ip::gabor::Transform::numberOfWavelets (C++ function)
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- bob::ip::gabor::Transform::save (C++ function)
- bob::ip::gabor::Transform::Transform (C++ function)
- bob::ip::gabor::Transform::transform (C++ function)
- bob::ip::gabor::Transform::waveletFrequencies (C++ function)
- bob::ip::gabor::Transform::wavelets (C++ function)
- bob::ip::gabor::Wavelet (C++ class)
- bob::ip::gabor::Wavelet::transform (C++ function)
- bob::ip::gabor::Wavelet::Wavelet (C++ function)
- bob::ip::gabor::Wavelet::waveletImage (C++ function)
- bob::learn::libsvm::File (C++ class)
- bob::learn::libsvm::File::eof (C++ function)
- bob::learn::libsvm::File::fail (C++ function)
- bob::learn::libsvm::File::File (C++ function)
- bob::learn::libsvm::File::filename (C++ function)
- bob::learn::libsvm::File::good (C++ function)
- bob::learn::libsvm::File::read (C++ function)
- bob::learn::libsvm::File::read_ (C++ function)
- bob::learn::libsvm::File::reset (C++ function)
- bob::learn::libsvm::File::samples (C++ function)
- bob::learn::libsvm::File::shape (C++ function)
- bob::learn::libsvm::File::~File (C++ function)
- bob::learn::libsvm::kernel_t (C++ type)
- bob::learn::libsvm::Machine (C++ class)
- bob::learn::libsvm::Machine::classLabel (C++ function)
- bob::learn::libsvm::Machine::coefficient0 (C++ function)
- bob::learn::libsvm::Machine::gamma (C++ function)
- bob::learn::libsvm::Machine::getInputDivision (C++ function)
- bob::learn::libsvm::Machine::getInputSubtraction (C++ function)
- bob::learn::libsvm::Machine::inputSize (C++ function)
- bob::learn::libsvm::Machine::kernelType (C++ function)
- bob::learn::libsvm::Machine::Machine (C++ function), [1], [2]
- bob::learn::libsvm::Machine::machineType (C++ function)
- bob::learn::libsvm::Machine::numberOfClasses (C++ function)
- bob::learn::libsvm::Machine::outputSize (C++ function)
- bob::learn::libsvm::Machine::polynomialDegree (C++ function)
- bob::learn::libsvm::Machine::predictClass (C++ function)
- bob::learn::libsvm::Machine::predictClass_ (C++ function)
- bob::learn::libsvm::Machine::predictClassAndProbabilities (C++ function)
- bob::learn::libsvm::Machine::predictClassAndProbabilities_ (C++ function)
- bob::learn::libsvm::Machine::predictClassAndScores (C++ function)
- bob::learn::libsvm::Machine::predictClassAndScores_ (C++ function)
- bob::learn::libsvm::Machine::save (C++ function), [1]
- bob::learn::libsvm::Machine::setInputDivision (C++ function), [1]
- bob::learn::libsvm::Machine::setInputSubtraction (C++ function), [1]
- bob::learn::libsvm::Machine::supportsProbability (C++ function)
- bob::learn::libsvm::Machine::~Machine (C++ function)
- bob::learn::libsvm::machine_t (C++ type)
- bob::learn::libsvm::Trainer (C++ class)
- bob::learn::libsvm::Trainer::getCacheSizeInMb (C++ function)
- bob::learn::libsvm::Trainer::getCoef0 (C++ function)
- bob::learn::libsvm::Trainer::getCost (C++ function)
- bob::learn::libsvm::Trainer::getDegree (C++ function)
- bob::learn::libsvm::Trainer::getGamma (C++ function)
- bob::learn::libsvm::Trainer::getKernelType (C++ function)
- bob::learn::libsvm::Trainer::getLossEpsilonSVR (C++ function)
- bob::learn::libsvm::Trainer::getMachineType (C++ function)
- bob::learn::libsvm::Trainer::getNu (C++ function)
- bob::learn::libsvm::Trainer::getProbabilityEstimates (C++ function)
- bob::learn::libsvm::Trainer::getStopEpsilon (C++ function)
- bob::learn::libsvm::Trainer::getUseShrinking (C++ function)
- bob::learn::libsvm::Trainer::setCacheSizeInMb (C++ function)
- bob::learn::libsvm::Trainer::setCoef0 (C++ function)
- bob::learn::libsvm::Trainer::setCost (C++ function)
- bob::learn::libsvm::Trainer::setDegree (C++ function)
- bob::learn::libsvm::Trainer::setGamma (C++ function)
- bob::learn::libsvm::Trainer::setKernelType (C++ function)
- bob::learn::libsvm::Trainer::setLossEpsilonSVR (C++ function)
- bob::learn::libsvm::Trainer::setMachineType (C++ function)
- bob::learn::libsvm::Trainer::setNu (C++ function)
- bob::learn::libsvm::Trainer::setProbabilityEstimates (C++ function)
- bob::learn::libsvm::Trainer::setStopEpsilon (C++ function)
- bob::learn::libsvm::Trainer::setUseShrinking (C++ function)
- bob::learn::libsvm::Trainer::train (C++ function), [1]
- bob::learn::libsvm::Trainer::Trainer (C++ function)
- bob::learn::libsvm::Trainer::~Trainer (C++ function)
- BoostedMachine (class in bob.learn.boosting)
- Boosting (class in bob.learn.boosting)
- border (bob.ip.base.Gaussian attribute)
- (bob.ip.base.GaussianScaleSpace attribute)
- (bob.ip.base.MultiscaleRetinex attribute)
- (bob.ip.base.SIFT attribute)
- (bob.ip.base.SelfQuotientImage attribute)
- (bob.ip.base.TanTriggs attribute)
- (bob.ip.base.WeightedGaussian attribute)
- border_handling (bob.ip.base.LBP attribute)
- BorderType (class in bob.sp)
- bottom (bob.ip.facedetect.BoundingBox attribute)
- bottom_f (bob.ip.facedetect.BoundingBox attribute)
- bottomright (bob.ip.facedetect.BoundingBox attribute)
- bottomright_f (bob.ip.facedetect.BoundingBox attribute)
- bounding_box_from_annotation() (in module bob.ip.facedetect)
- BoundingBox (class in bob.ip.facedetect)
- box() (in module bob.ip.draw)
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