open source driving agent
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51 lines
1.4 KiB

#pragma once
#include <cstdlib>
#include "selfdrive/modeld/runners/runmodel.h"
class ONNXModel : public RunModel {
public:
ONNXModel(const char *path, float *output, size_t output_size, int runtime, bool use_extra = false, bool _use_tf8 = false, cl_context context = NULL);
~ONNXModel();
void addRecurrent(float *state, int state_size);
void addDesire(float *state, int state_size);
void addNavFeatures(float *state, int state_size);
void addDrivingStyle(float *state, int state_size);
void addTrafficConvention(float *state, int state_size);
void addCalib(float *state, int state_size);
void addImage(float *image_buf, int buf_size);
void addExtra(float *image_buf, int buf_size);
void execute();
private:
int proc_pid;
float *output;
size_t output_size;
float *rnn_input_buf = NULL;
int rnn_state_size;
float *desire_input_buf = NULL;
int desire_state_size;
float *nav_features_input_buf = NULL;
int nav_features_size;
float *driving_style_input_buf = NULL;
int driving_style_size;
float *traffic_convention_input_buf = NULL;
int traffic_convention_size;
float *calib_input_buf = NULL;
int calib_size;
float *image_input_buf = NULL;
int image_buf_size;
bool use_tf8;
float *extra_input_buf = NULL;
int extra_buf_size;
bool use_extra;
// pipe to communicate to keras subprocess
void pread(float *buf, int size);
void pwrite(float *buf, int size);
int pipein[2];
int pipeout[2];
};