ESP
0.1
The Example-based Sensor Predictions (ESP) system tries to bring machine learning to the maker community.
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#include "MFCC.h"
#include "matplotlibcpp.h"
#include "training-data-manager.h"
#include <GRT/GRT.h>
#include <assert.h>
#include <ctype.h>
#include <unistd.h>
#include <vector>
Functions | |
int | main (int argc, char *argv[]) |
Variables | |
constexpr uint32_t | kNumMaxLabels = 9 |
constexpr char | kTrainingDataFilename [] = "TrainingData.grt" |
constexpr char | kTestDataFilename [] = "TestData.grt" |
constexpr char | kPipelineFilename [] = "Pipeline.grt" |
constexpr uint32_t | downsample_rate = 5 |
constexpr uint32_t | sample_rate = 44100 / downsample_rate |
constexpr uint32_t | kFFT_WindowSize = 256 |
constexpr uint32_t | kFFT_HopSize = 128 |
constexpr uint32_t | DIM = 1 |
int main | ( | int | argc, |
char * | argv[] | ||
) |
constexpr uint32_t DIM = 1 |
constexpr uint32_t downsample_rate = 5 |
constexpr uint32_t kFFT_HopSize = 128 |
constexpr uint32_t kFFT_WindowSize = 256 |
constexpr uint32_t kNumMaxLabels = 9 |
constexpr char kPipelineFilename[] = "Pipeline.grt" |
constexpr char kTestDataFilename[] = "TestData.grt" |
constexpr char kTrainingDataFilename[] = "TrainingData.grt" |
constexpr uint32_t sample_rate = 44100 / downsample_rate |