1 #ifndef MTF_NN_PARAMS_H 2 #define MTF_NN_PARAMS_H 4 #include "mtf/SM/GNNParams.h" 5 #include "mtf/Macros/common.h" 37 std::string saved_index_dir;
48 const vectorvd &_ssm_sigma,
49 const vectorvd &_ssm_mean,
50 const vectord &_pix_sigma,
51 bool _additive_update,
54 int _n_samples_to_add,
58 std::string _saved_index_dir,
66 vector<VectorXd> &state_mean, VectorXi &distr_n_samples,
67 unsigned int &n_distr,
unsigned int ssm_state_size);
bool processDistributions(vector< VectorXd > &state_sigma, vector< VectorXd > &state_mean, VectorXi &distr_n_samples, unsigned int &n_distr, unsigned int ssm_state_size)
parse the provided mean and sigma and apply several priors to get the final parameters for all distri...
int max_iters
maximum iterations of the NN algorithm to run for each frame
Definition: NNParams.h:16
Definition: GNNParams.h:9
bool debug_mode
decides whether logging data will be printed for debugging purposes; only matters if logging is enabl...
Definition: NNParams.h:41
double epsilon
maximum L2 norm of the state update vector at which to stop the iterations
Definition: NNParams.h:18
GNN with FLANN support.
Definition: FGNN.h:12
int n_samples_to_add
no. of samples added to the index at each update
Definition: NNParams.h:31
int add_samples_gap
gap between frames at which the index is updated with new samples 0 disables the addition of samples ...
Definition: NNParams.h:29