* Clustering function that takes a cut in the hierarchical k-means * tree and return the clusters centers of that clustering. * Params:

* Clustering function that takes a cut in the hierarchical k-means * tree and return the clusters centers of that clustering. * Params:

Just for display

Display Custom layer latency breakup

optional float alpha = 1 [default = 1];

optional int32 batchnorm_mean_bw = 11;

optional int32 batchnorm_mean_fl = 9;

optional int32 batchnorm_variance_bw = 12;

optional int32 batchnorm_variance_fl = 10;

optional float beta = 3 [default = 0.75];

optional bool channel_shared = 3 [default = true];

optional int32 channels = 2 [default = 0];

optional bool clip = 5 [default = false];

optional float confidence_threshold = 9;

optional float eta = 3 [default = 1];

optional int32 fl_layer_in = 6;

optional int32 fl_layer_out = 7;

optional int32 fl_params = 8;

optional bool flip = 4 [default = true];

optional bool global_pooling = 12 [default = false];

optional int32 height = 3 [default = 0];

optional float k = 5 [default = 1];

optional int32 keep_top_k = 7 [default = -1];

optional uint32 local_size = 1 [default = 5];

optional string name = 1;

optional .caffe.LRNParameter.NormRegion norm_region = 4 [default = ACROSS_CHANNELS];

optional uint32 num_classes = 1;

optional float offset = 13 [default = 0.5];

optional .caffe.EltwiseParameter.EltwiseOp operation = 1 [default = SUM];

optional .caffe.Phase phase = 1 [default = TEST];

optional .caffe.PoolingParameter.PoolMethod pool = 1 [default = MAX];

optional float power = 10;

optional .caffe.PrecisionParameter precision_param = 997;

optional .caffe.QuantizationParameter quantization_param = 147;

optional float scale = 1 [default = 1];

optional int32 scale_beta_bw = 16;

optional int32 scale_beta_fl = 14;

optional int32 scale_gamma_bw = 15;

optional int32 scale_gamma_by_std_bw = 18;

optional int32 scale_gamma_by_std_fl = 17;

optional int32 scale_gamma_fl = 13;

optional float shift = 3 [default = 0];

optional float th_layer_in = 19;

optional float th_layer_out = 20;

optional bool use_global_stats = 1;

optional int32 width = 4 [default = 0];

repeated .caffe.NetStateRule include = 8;

repeated string input = 3;

int loadAndPrepareImage(cv::Mat &frame, short *inptr, float* mean_data, int img_w, int img_h, int img_channel, int resize_h, int resize_w, const char

int loadImage(cv::Mat &frame, char *inptr, float* mean_data, int img_w, int img_h, int img_channel, int resize_h, int resize_w, const char *mean_path,

* \brief Loads the index from a stream * \param stream The stream from which the index is loaded */

* \brief Loads the index from a stream * \param stream The stream from which the index is loaded */

* * @param stream - Stream to load from * @return Index header */

* * @param stream - Stream to load from * @return Index header */