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214 lines
8.0 KiB
214 lines
8.0 KiB
#include <cstdio>
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#include <cstdlib>
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#include <mutex>
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#include <cmath>
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#include <eigen3/Eigen/Dense>
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#include "cereal/messaging/messaging.h"
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#include "cereal/visionipc/visionipc_client.h"
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#include "common/clutil.h"
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#include "common/params.h"
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#include "common/swaglog.h"
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#include "common/util.h"
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#include "system/hardware/hw.h"
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#include "selfdrive/modeld/models/driving.h"
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ExitHandler do_exit;
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mat3 update_calibration(Eigen::Matrix<float, 3, 4> &extrinsics, bool wide_camera, bool bigmodel_frame) {
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/*
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import numpy as np
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from common.transformations.model import medmodel_frame_from_road_frame
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medmodel_frame_from_ground = medmodel_frame_from_road_frame[:, (0, 1, 3)]
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ground_from_medmodel_frame = np.linalg.inv(medmodel_frame_from_ground)
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*/
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static const auto ground_from_medmodel_frame = (Eigen::Matrix<float, 3, 3>() <<
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0.00000000e+00, 0.00000000e+00, 1.00000000e+00,
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-1.09890110e-03, 0.00000000e+00, 2.81318681e-01,
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-1.84808520e-20, 9.00738606e-04, -4.28751576e-02).finished();
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static const auto ground_from_sbigmodel_frame = (Eigen::Matrix<float, 3, 3>() <<
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0.00000000e+00, 7.31372216e-19, 1.00000000e+00,
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-2.19780220e-03, 4.11497335e-19, 5.62637363e-01,
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-5.46146580e-20, 1.80147721e-03, -2.73464241e-01).finished();
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const auto cam_intrinsics = Eigen::Matrix<float, 3, 3, Eigen::RowMajor>(wide_camera ? ecam_intrinsic_matrix.v : fcam_intrinsic_matrix.v);
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static const mat3 yuv_transform = get_model_yuv_transform();
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auto ground_from_model_frame = bigmodel_frame ? ground_from_sbigmodel_frame : ground_from_medmodel_frame;
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auto camera_frame_from_road_frame = cam_intrinsics * extrinsics;
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Eigen::Matrix<float, 3, 3> camera_frame_from_ground;
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camera_frame_from_ground.col(0) = camera_frame_from_road_frame.col(0);
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camera_frame_from_ground.col(1) = camera_frame_from_road_frame.col(1);
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camera_frame_from_ground.col(2) = camera_frame_from_road_frame.col(3);
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auto warp_matrix = camera_frame_from_ground * ground_from_model_frame;
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mat3 transform = {};
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for (int i=0; i<3*3; i++) {
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transform.v[i] = warp_matrix(i / 3, i % 3);
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}
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return matmul3(yuv_transform, transform);
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}
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void run_model(ModelState &model, VisionIpcClient &vipc_client_main, VisionIpcClient &vipc_client_extra, bool main_wide_camera, bool use_extra_client) {
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// messaging
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PubMaster pm({"modelV2", "cameraOdometry"});
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SubMaster sm({"lateralPlan", "roadCameraState", "liveCalibration"});
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// setup filter to track dropped frames
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FirstOrderFilter frame_dropped_filter(0., 10., 1. / MODEL_FREQ);
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uint32_t frame_id = 0, last_vipc_frame_id = 0;
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double last = 0;
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uint32_t run_count = 0;
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mat3 model_transform_main = {};
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mat3 model_transform_extra = {};
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bool live_calib_seen = false;
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VisionBuf *buf_main = nullptr;
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VisionBuf *buf_extra = nullptr;
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VisionIpcBufExtra meta_main = {0};
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VisionIpcBufExtra meta_extra = {0};
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while (!do_exit) {
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// Keep receiving frames until we are at least 1 frame ahead of previous extra frame
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while (meta_main.timestamp_sof < meta_extra.timestamp_sof + 25000000ULL) {
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buf_main = vipc_client_main.recv(&meta_main);
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if (buf_main == nullptr) break;
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}
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if (buf_main == nullptr) {
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LOGE("vipc_client_main no frame");
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continue;
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}
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if (use_extra_client) {
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// Keep receiving extra frames until frame id matches main camera
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do {
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buf_extra = vipc_client_extra.recv(&meta_extra);
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} while (buf_extra != nullptr && meta_main.timestamp_sof > meta_extra.timestamp_sof + 25000000ULL);
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if (buf_extra == nullptr) {
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LOGE("vipc_client_extra no frame");
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continue;
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}
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if (std::abs((int64_t)meta_main.timestamp_sof - (int64_t)meta_extra.timestamp_sof) > 10000000ULL) {
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LOGE("frames out of sync! main: %d (%.5f), extra: %d (%.5f)",
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meta_main.frame_id, double(meta_main.timestamp_sof) / 1e9,
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meta_extra.frame_id, double(meta_extra.timestamp_sof) / 1e9);
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}
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} else {
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// Use single camera
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buf_extra = buf_main;
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meta_extra = meta_main;
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}
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// TODO: path planner timeout?
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sm.update(0);
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int desire = ((int)sm["lateralPlan"].getLateralPlan().getDesire());
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frame_id = sm["roadCameraState"].getRoadCameraState().getFrameId();
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if (sm.updated("liveCalibration")) {
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auto extrinsic_matrix = sm["liveCalibration"].getLiveCalibration().getExtrinsicMatrix();
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Eigen::Matrix<float, 3, 4> extrinsic_matrix_eigen;
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for (int i = 0; i < 4*3; i++) {
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extrinsic_matrix_eigen(i / 4, i % 4) = extrinsic_matrix[i];
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}
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model_transform_main = update_calibration(extrinsic_matrix_eigen, main_wide_camera, false);
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model_transform_extra = update_calibration(extrinsic_matrix_eigen, true, true);
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live_calib_seen = true;
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}
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float vec_desire[DESIRE_LEN] = {0};
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if (desire >= 0 && desire < DESIRE_LEN) {
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vec_desire[desire] = 1.0;
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}
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// tracked dropped frames
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uint32_t vipc_dropped_frames = meta_main.frame_id - last_vipc_frame_id - 1;
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float frames_dropped = frame_dropped_filter.update((float)std::min(vipc_dropped_frames, 10U));
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if (run_count < 10) { // let frame drops warm up
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frame_dropped_filter.reset(0);
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frames_dropped = 0.;
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}
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run_count++;
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float frame_drop_ratio = frames_dropped / (1 + frames_dropped);
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bool prepare_only = vipc_dropped_frames > 0;
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if (prepare_only) {
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LOGE("skipping model eval. Dropped %d frames", vipc_dropped_frames);
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}
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double mt1 = millis_since_boot();
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ModelOutput *model_output = model_eval_frame(&model, buf_main, buf_extra, model_transform_main, model_transform_extra, vec_desire, prepare_only);
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double mt2 = millis_since_boot();
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float model_execution_time = (mt2 - mt1) / 1000.0;
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if (model_output != nullptr) {
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model_publish(pm, meta_main.frame_id, meta_extra.frame_id, frame_id, frame_drop_ratio, *model_output, meta_main.timestamp_eof, model_execution_time,
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kj::ArrayPtr<const float>(model.output.data(), model.output.size()), live_calib_seen);
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posenet_publish(pm, meta_main.frame_id, vipc_dropped_frames, *model_output, meta_main.timestamp_eof, live_calib_seen);
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}
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//printf("model process: %.2fms, from last %.2fms, vipc_frame_id %u, frame_id, %u, frame_drop %.3f\n", mt2 - mt1, mt1 - last, extra.frame_id, frame_id, frame_drop_ratio);
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last = mt1;
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last_vipc_frame_id = meta_main.frame_id;
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}
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}
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int main(int argc, char **argv) {
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if (!Hardware::PC()) {
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int ret;
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ret = util::set_realtime_priority(54);
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assert(ret == 0);
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util::set_core_affinity({7});
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assert(ret == 0);
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}
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bool main_wide_camera = Params().getBool("WideCameraOnly");
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bool use_extra_client = !main_wide_camera; // set for single camera mode
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// cl init
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cl_device_id device_id = cl_get_device_id(CL_DEVICE_TYPE_DEFAULT);
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cl_context context = CL_CHECK_ERR(clCreateContext(NULL, 1, &device_id, NULL, NULL, &err));
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// init the models
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ModelState model;
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model_init(&model, device_id, context);
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LOGW("models loaded, modeld starting");
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VisionIpcClient vipc_client_main = VisionIpcClient("camerad", main_wide_camera ? VISION_STREAM_WIDE_ROAD : VISION_STREAM_ROAD, true, device_id, context);
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VisionIpcClient vipc_client_extra = VisionIpcClient("camerad", VISION_STREAM_WIDE_ROAD, false, device_id, context);
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while (!do_exit && !vipc_client_main.connect(false)) {
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util::sleep_for(100);
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}
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while (!do_exit && use_extra_client && !vipc_client_extra.connect(false)) {
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util::sleep_for(100);
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}
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// run the models
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// vipc_client.connected is false only when do_exit is true
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if (!do_exit) {
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const VisionBuf *b = &vipc_client_main.buffers[0];
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LOGW("connected main cam with buffer size: %d (%d x %d)", b->len, b->width, b->height);
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if (use_extra_client) {
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const VisionBuf *wb = &vipc_client_extra.buffers[0];
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LOGW("connected extra cam with buffer size: %d (%d x %d)", wb->len, wb->width, wb->height);
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}
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run_model(model, vipc_client_main, vipc_client_extra, main_wide_camera, use_extra_client);
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}
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model_free(&model);
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CL_CHECK(clReleaseContext(context));
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return 0;
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}
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