dragonpilot - 基於 openpilot 的開源駕駛輔助系統
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#pragma once
// gate this here
#define TEMPORAL
#define DESIRE
#define TRAFFIC_CONVENTION
#include <array>
#include <memory>
#include "cereal/messaging/messaging.h"
#include "selfdrive/common/mat.h"
#include "selfdrive/common/modeldata.h"
#include "selfdrive/common/util.h"
#include "selfdrive/modeld/models/commonmodel.h"
#include "selfdrive/modeld/runners/run.h"
constexpr int DESIRE_LEN = 8;
constexpr int TRAFFIC_CONVENTION_LEN = 2;
constexpr int MODEL_FREQ = 20;
constexpr int DESIRE_PRED_SIZE = 32;
constexpr int OTHER_META_SIZE = 48;
constexpr int NUM_META_INTERVALS = 5;
constexpr int META_STRIDE = 7;
constexpr int PLAN_MHP_N = 5;
constexpr int PLAN_MHP_VALS = 15*33;
constexpr int PLAN_MHP_SELECTION = 1;
constexpr int PLAN_MHP_GROUP_SIZE = (2*PLAN_MHP_VALS + PLAN_MHP_SELECTION);
constexpr int LEAD_MHP_N = 2;
constexpr int LEAD_TRAJ_LEN = 6;
constexpr int LEAD_PRED_DIM = 4;
constexpr int LEAD_MHP_VALS = LEAD_PRED_DIM*LEAD_TRAJ_LEN;
constexpr int LEAD_MHP_SELECTION = 3;
constexpr int LEAD_MHP_GROUP_SIZE = (2*LEAD_MHP_VALS + LEAD_MHP_SELECTION);
constexpr int POSE_SIZE = 12;
constexpr int PLAN_IDX = 0;
constexpr int LL_IDX = PLAN_IDX + PLAN_MHP_N*PLAN_MHP_GROUP_SIZE;
constexpr int LL_PROB_IDX = LL_IDX + 4*2*2*33;
constexpr int RE_IDX = LL_PROB_IDX + 8;
constexpr int LEAD_IDX = RE_IDX + 2*2*2*33;
constexpr int LEAD_PROB_IDX = LEAD_IDX + LEAD_MHP_N*(LEAD_MHP_GROUP_SIZE);
constexpr int DESIRE_STATE_IDX = LEAD_PROB_IDX + 3;
constexpr int META_IDX = DESIRE_STATE_IDX + DESIRE_LEN;
constexpr int POSE_IDX = META_IDX + OTHER_META_SIZE + DESIRE_PRED_SIZE;
constexpr int OUTPUT_SIZE = POSE_IDX + POSE_SIZE;
#ifdef TEMPORAL
constexpr int TEMPORAL_SIZE = 512;
#else
constexpr int TEMPORAL_SIZE = 0;
#endif
constexpr int NET_OUTPUT_SIZE = OUTPUT_SIZE + TEMPORAL_SIZE;
struct ModelDataRawXYZ {
float x;
float y;
float z;
};
static_assert(sizeof(ModelDataRawXYZ) == sizeof(float)*3);
struct ModelDataRawYZ {
float y;
float z;
};
static_assert(sizeof(ModelDataRawYZ) == sizeof(float)*2);
struct ModelDataRawPlanTimeStep {
ModelDataRawXYZ position;
ModelDataRawXYZ velocity;
ModelDataRawXYZ acceleration;
ModelDataRawXYZ rotation;
ModelDataRawXYZ rotation_rate;
};
static_assert(sizeof(ModelDataRawPlanTimeStep) == sizeof(ModelDataRawXYZ)*5);
struct ModelDataRawPlanPath {
std::array<ModelDataRawPlanTimeStep, TRAJECTORY_SIZE> mean;
std::array<ModelDataRawPlanTimeStep, TRAJECTORY_SIZE> std;
float prob;
};
static_assert(sizeof(ModelDataRawPlanPath) == (sizeof(ModelDataRawPlanTimeStep)*TRAJECTORY_SIZE*2) + sizeof(float));
struct ModelDataRawPlans {
std::array<ModelDataRawPlanPath, PLAN_MHP_N> path;
constexpr const ModelDataRawPlanPath &get_best_plan() const {
int max_idx = 0;
for (int i = 1; i < path.size(); i++) {
if (path[i].prob > path[max_idx].prob) {
max_idx = i;
}
}
return path[max_idx];
}
};
static_assert(sizeof(ModelDataRawPlans) == sizeof(ModelDataRawPlanPath)*PLAN_MHP_N);
struct ModelDataRawLinesXY {
std::array<ModelDataRawYZ, TRAJECTORY_SIZE> left_far;
std::array<ModelDataRawYZ, TRAJECTORY_SIZE> left_near;
std::array<ModelDataRawYZ, TRAJECTORY_SIZE> right_near;
std::array<ModelDataRawYZ, TRAJECTORY_SIZE> right_far;
};
static_assert(sizeof(ModelDataRawLinesXY) == sizeof(ModelDataRawYZ)*TRAJECTORY_SIZE*4);
struct ModelDataRawLineProbVal {
float val_deprecated;
float val;
};
static_assert(sizeof(ModelDataRawLineProbVal) == sizeof(float)*2);
struct ModelDataRawLinesProb {
ModelDataRawLineProbVal left_far;
ModelDataRawLineProbVal left_near;
ModelDataRawLineProbVal right_near;
ModelDataRawLineProbVal right_far;
};
static_assert(sizeof(ModelDataRawLinesProb) == sizeof(ModelDataRawLineProbVal)*4);
struct ModelDataRawLaneLines {
ModelDataRawLinesXY mean;
ModelDataRawLinesXY std;
ModelDataRawLinesProb prob;
};
static_assert(sizeof(ModelDataRawLaneLines) == (sizeof(ModelDataRawLinesXY)*2) + sizeof(ModelDataRawLinesProb));
struct ModelDataRawEdgessXY {
std::array<ModelDataRawYZ, TRAJECTORY_SIZE> left;
std::array<ModelDataRawYZ, TRAJECTORY_SIZE> right;
};
static_assert(sizeof(ModelDataRawEdgessXY) == sizeof(ModelDataRawYZ)*TRAJECTORY_SIZE*2);
struct ModelDataRawRoadEdges {
ModelDataRawEdgessXY mean;
ModelDataRawEdgessXY std;
};
static_assert(sizeof(ModelDataRawRoadEdges) == (sizeof(ModelDataRawEdgessXY)*2));
struct ModelDataRawPose {
ModelDataRawXYZ velocity_mean;
ModelDataRawXYZ rotation_mean;
ModelDataRawXYZ velocity_std;
ModelDataRawXYZ rotation_std;
};
static_assert(sizeof(ModelDataRawPose) == sizeof(ModelDataRawXYZ)*4);
struct ModelDataRaw {
const ModelDataRawPlans *const plan;
const ModelDataRawLaneLines *const lane_lines;
const ModelDataRawRoadEdges *const road_edges;
const float *const lead;
const float *const lead_prob;
const float *const desire_state;
const float *const meta;
const float *const desire_pred;
const ModelDataRawPose *const pose;
};
// TODO: convert remaining arrays to std::array and update model runners
struct ModelState {
ModelFrame *frame;
std::array<float, NET_OUTPUT_SIZE> output = {};
std::unique_ptr<RunModel> m;
#ifdef DESIRE
float prev_desire[DESIRE_LEN] = {};
float pulse_desire[DESIRE_LEN] = {};
#endif
#ifdef TRAFFIC_CONVENTION
float traffic_convention[TRAFFIC_CONVENTION_LEN] = {};
#endif
};
void model_init(ModelState* s, cl_device_id device_id, cl_context context);
ModelDataRaw model_eval_frame(ModelState* s, cl_mem yuv_cl, int width, int height,
const mat3 &transform, float *desire_in);
void model_free(ModelState* s);
void poly_fit(float *in_pts, float *in_stds, float *out);
void model_publish(PubMaster &pm, uint32_t vipc_frame_id, uint32_t frame_id, float frame_drop,
const ModelDataRaw &net_outputs, uint64_t timestamp_eof,
float model_execution_time, kj::ArrayPtr<const float> raw_pred);
void posenet_publish(PubMaster &pm, uint32_t vipc_frame_id, uint32_t vipc_dropped_frames,
const ModelDataRaw &net_outputs, uint64_t timestamp_eof);