#include #include "libyuv.h" #include "selfdrive/common/mat.h" #include "selfdrive/common/modeldata.h" #include "selfdrive/common/params.h" #include "selfdrive/common/timing.h" #include "selfdrive/hardware/hw.h" #include "selfdrive/modeld/models/dmonitoring.h" constexpr int MODEL_WIDTH = 1440; constexpr int MODEL_HEIGHT = 960; template static inline T *get_buffer(std::vector &buf, const size_t size) { if (buf.size() < size) buf.resize(size); return buf.data(); } void dmonitoring_init(DMonitoringModelState* s) { s->is_rhd = Params().getBool("IsRHD"); #ifdef USE_ONNX_MODEL s->m = new ONNXModel("../../models/dmonitoring_model.onnx", &s->output[0], OUTPUT_SIZE, USE_DSP_RUNTIME); #else s->m = new SNPEModel("../../models/dmonitoring_model_q.dlc", &s->output[0], OUTPUT_SIZE, USE_DSP_RUNTIME); #endif s->m->addCalib(s->calib, CALIB_LEN); } static inline auto get_yuv_buf(std::vector &buf, const int width, int height) { uint8_t *y = get_buffer(buf, width * height * 3 / 2); uint8_t *u = y + width * height; uint8_t *v = u + (width /2) * (height / 2); return std::make_tuple(y, u, v); } DMonitoringResult dmonitoring_eval_frame(DMonitoringModelState* s, void* stream_buf, int width, int height, float *calib) { int v_off = height - MODEL_HEIGHT; int h_off = (width - MODEL_WIDTH) / 2; int yuv_buf_len = (MODEL_WIDTH/2) * (MODEL_HEIGHT/2) * 6; // Y|u|v, frame2tensor done in dsp uint8_t *raw_buf = (uint8_t *) stream_buf; auto [cropped_y, cropped_u, cropped_v] = get_yuv_buf(s->cropped_buf, MODEL_WIDTH, MODEL_HEIGHT); float *net_input_buf = get_buffer(s->net_input_buf, yuv_buf_len); libyuv::ConvertToI420(raw_buf, (width/2)*(height/2)*6, cropped_y, MODEL_WIDTH, cropped_u, MODEL_WIDTH/2, cropped_v, MODEL_WIDTH/2, h_off, v_off, width, height, MODEL_WIDTH, MODEL_HEIGHT, libyuv::kRotate0, libyuv::FOURCC_I420); // snpe UserBufferEncodingUnsigned8Bit doesn't work // fast float conversion instead, also scales to 0-1 libyuv::ByteToFloat(cropped_y, net_input_buf, 0.003921569f, yuv_buf_len); // printf("preprocess completed. %d \n", yuv_buf_len); // FILE *dump_yuv_file = fopen("/tmp/rawdump.yuv", "wb"); // fwrite(net_input_buf, yuv_buf_len, sizeof(float), dump_yuv_file); // fclose(dump_yuv_file); // # testing: // dat = np.fromfile('/tmp/rawdump.yuv', dtype=np.float32) // dat = dat.reshape(1,6,320,512) * 128. + 128. // frame = tensor_to_frames(dat)[0] // frame = cv2.cvtColor(frame, cv2.COLOR_YUV2RGB_I420) double t1 = millis_since_boot(); s->m->addImage(net_input_buf, yuv_buf_len); for (int i = 0; i < CALIB_LEN; i++) { s->calib[i] = calib[i]; } s->m->execute(); double t2 = millis_since_boot(); DMonitoringResult ret = {0}; for (int i = 0; i < 3; ++i) { ret.face_orientation[i] = s->output[i] * REG_SCALE; ret.face_orientation_meta[i] = exp(s->output[6 + i]); } for (int i = 0; i < 2; ++i) { ret.face_position[i] = s->output[3 + i] * REG_SCALE; ret.face_position_meta[i] = exp(s->output[9 + i]); } for (int i = 0; i < 4; ++i) { ret.ready_prob[i] = sigmoid(s->output[39 + i]); } for (int i = 0; i < 2; ++i) { ret.not_ready_prob[i] = sigmoid(s->output[43 + i]); } ret.face_prob = sigmoid(s->output[12]); ret.left_eye_prob = sigmoid(s->output[21]); ret.right_eye_prob = sigmoid(s->output[30]); ret.left_blink_prob = sigmoid(s->output[31]); ret.right_blink_prob = sigmoid(s->output[32]); ret.sg_prob = sigmoid(s->output[33]); ret.poor_vision = sigmoid(s->output[34]); ret.partial_face = sigmoid(s->output[35]); ret.distracted_pose = sigmoid(s->output[36]); ret.distracted_eyes = sigmoid(s->output[37]); ret.occluded_prob = sigmoid(s->output[38]); ret.dsp_execution_time = (t2 - t1) / 1000.; return ret; } void dmonitoring_publish(PubMaster &pm, uint32_t frame_id, const DMonitoringResult &res, float execution_time, kj::ArrayPtr raw_pred) { // make msg MessageBuilder msg; auto framed = msg.initEvent().initDriverState(); framed.setFrameId(frame_id); framed.setModelExecutionTime(execution_time); framed.setDspExecutionTime(res.dsp_execution_time); framed.setFaceOrientation(res.face_orientation); framed.setFaceOrientationStd(res.face_orientation_meta); framed.setFacePosition(res.face_position); framed.setFacePositionStd(res.face_position_meta); framed.setFaceProb(res.face_prob); framed.setLeftEyeProb(res.left_eye_prob); framed.setRightEyeProb(res.right_eye_prob); framed.setLeftBlinkProb(res.left_blink_prob); framed.setRightBlinkProb(res.right_blink_prob); framed.setSunglassesProb(res.sg_prob); framed.setPoorVision(res.poor_vision); framed.setPartialFace(res.partial_face); framed.setDistractedPose(res.distracted_pose); framed.setDistractedEyes(res.distracted_eyes); framed.setOccludedProb(res.occluded_prob); framed.setReadyProb(res.ready_prob); framed.setNotReadyProb(res.not_ready_prob); if (send_raw_pred) { framed.setRawPredictions(raw_pred.asBytes()); } pm.send("driverState", msg); } void dmonitoring_free(DMonitoringModelState* s) { delete s->m; }