Rewrite dmonitoringmodeld in python (#29740)

* Added dmonitoringmodeld.py

* Removed dmonitoringmodeld.cc

* Use ModelRunner helpers from runners/__init__.py

* Fixed DriverStateResult field ordering

* Some bug fixes

* Set calib input

* Look ma, no loop!

* Bump dmonitoringmodeld cpu usage in test_onroad

* Fixed memory leak caused by np.ctypes.data_as

* Formatting fixes

* chmod +x

* remove USE_ONNX_MODEL

* Realtime priority 1, formatting fixes
old-commit-hash: 503fa121ee
test-msgs
Mitchell Goff 2 years ago committed by GitHub
parent 01ee6fd1bb
commit 5732002296
  1. 5
      release/files_common
  2. 2
      selfdrive/manager/process_config.py
  3. 15
      selfdrive/modeld/SConscript
  4. 12
      selfdrive/modeld/dmonitoringmodeld
  5. 69
      selfdrive/modeld/dmonitoringmodeld.cc
  6. 157
      selfdrive/modeld/dmonitoringmodeld.py
  7. 133
      selfdrive/modeld/models/dmonitoring.cc
  8. 50
      selfdrive/modeld/models/dmonitoring.h
  9. 4
      selfdrive/modeld/runners/run.h
  10. 2
      selfdrive/test/test_onroad.py

@ -362,10 +362,9 @@ selfdrive/modeld/__init__.py
selfdrive/modeld/SConscript selfdrive/modeld/SConscript
selfdrive/modeld/modeld.py selfdrive/modeld/modeld.py
selfdrive/modeld/navmodeld.py selfdrive/modeld/navmodeld.py
selfdrive/modeld/dmonitoringmodeld.cc selfdrive/modeld/dmonitoringmodeld.py
selfdrive/modeld/constants.py selfdrive/modeld/constants.py
selfdrive/modeld/modeld selfdrive/modeld/modeld
selfdrive/modeld/dmonitoringmodeld
selfdrive/modeld/models/__init__.py selfdrive/modeld/models/__init__.py
selfdrive/modeld/models/*.pxd selfdrive/modeld/models/*.pxd
@ -378,8 +377,6 @@ selfdrive/modeld/models/driving.cc
selfdrive/modeld/models/driving.h selfdrive/modeld/models/driving.h
selfdrive/modeld/models/supercombo.onnx selfdrive/modeld/models/supercombo.onnx
selfdrive/modeld/models/dmonitoring.cc
selfdrive/modeld/models/dmonitoring.h
selfdrive/modeld/models/dmonitoring_model_q.dlc selfdrive/modeld/models/dmonitoring_model_q.dlc
selfdrive/modeld/models/navmodel_q.dlc selfdrive/modeld/models/navmodel_q.dlc

@ -52,7 +52,7 @@ procs = [
PythonProcess("micd", "system.micd", iscar), PythonProcess("micd", "system.micd", iscar),
PythonProcess("timezoned", "system.timezoned", always_run, enabled=not PC), PythonProcess("timezoned", "system.timezoned", always_run, enabled=not PC),
NativeProcess("dmonitoringmodeld", "selfdrive/modeld", ["./dmonitoringmodeld"], driverview, enabled=(not PC or WEBCAM)), PythonProcess("dmonitoringmodeld", "selfdrive.modeld.dmonitoringmodeld", driverview, enabled=(not PC or WEBCAM)),
NativeProcess("encoderd", "system/loggerd", ["./encoderd"], only_onroad), NativeProcess("encoderd", "system/loggerd", ["./encoderd"], only_onroad),
NativeProcess("stream_encoderd", "system/loggerd", ["./encoderd", "--stream"], notcar), NativeProcess("stream_encoderd", "system/loggerd", ["./encoderd", "--stream"], notcar),
NativeProcess("loggerd", "system/loggerd", ["./loggerd"], logging), NativeProcess("loggerd", "system/loggerd", ["./loggerd"], logging),

@ -32,12 +32,6 @@ if arch == "Darwin":
else: else:
libs += ['OpenCL'] libs += ['OpenCL']
# Use onnx on PC
if arch != "larch64" and not GetOption('snpe'):
common_src += ['runners/onnxmodel.cc']
lenv['CFLAGS'].append("-DUSE_ONNX_MODEL")
lenv['CXXFLAGS'].append("-DUSE_ONNX_MODEL")
# Set path definitions # Set path definitions
for pathdef, fn in {'TRANSFORM': 'transforms/transform.cl', 'LOADYUV': 'transforms/loadyuv.cl', 'ONNXRUNNER': 'runners/onnx_runner.py'}.items(): for pathdef, fn in {'TRANSFORM': 'transforms/transform.cl', 'LOADYUV': 'transforms/loadyuv.cl', 'ONNXRUNNER': 'runners/onnx_runner.py'}.items():
for xenv in (lenv, lenvCython): for xenv in (lenv, lenvCython):
@ -60,15 +54,6 @@ lenvCython.Program('runners/snpemodel_pyx.so', 'runners/snpemodel_pyx.pyx', LIBS
lenvCython.Program('models/commonmodel_pyx.so', 'models/commonmodel_pyx.pyx', LIBS=[commonmodel_lib, *cython_libs], FRAMEWORKS=frameworks) lenvCython.Program('models/commonmodel_pyx.so', 'models/commonmodel_pyx.pyx', LIBS=[commonmodel_lib, *cython_libs], FRAMEWORKS=frameworks)
lenvCython.Program('models/driving_pyx.so', 'models/driving_pyx.pyx', LIBS=[driving_lib, commonmodel_lib, *cython_libs], FRAMEWORKS=frameworks) lenvCython.Program('models/driving_pyx.so', 'models/driving_pyx.pyx', LIBS=[driving_lib, commonmodel_lib, *cython_libs], FRAMEWORKS=frameworks)
# Compile binaries
lenv['FRAMEWORKS'] = frameworks
common_model = lenv.Object(common_src)
lenv.Program('_dmonitoringmodeld', [
"dmonitoringmodeld.cc",
"models/dmonitoring.cc",
]+common_model, LIBS=libs + snpe_lib)
# Build thneed model # Build thneed model
if arch == "larch64" or GetOption('pc_thneed'): if arch == "larch64" or GetOption('pc_thneed'):
fn = File("models/supercombo").abspath fn = File("models/supercombo").abspath

@ -1,12 +0,0 @@
#!/usr/bin/env bash
DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" >/dev/null && pwd)"
cd $DIR
if [ -f /TICI ]; then
export LD_LIBRARY_PATH="/usr/lib/aarch64-linux-gnu:/data/pythonpath/third_party/snpe/larch64:$LD_LIBRARY_PATH"
export ADSP_LIBRARY_PATH="/data/pythonpath/third_party/snpe/dsp/"
else
export LD_LIBRARY_PATH="$DIR/../../third_party/snpe/x86_64-linux-clang:$DIR/../../openpilot/third_party/snpe/x86_64:$LD_LIBRARY_PATH"
fi
exec ./_dmonitoringmodeld

@ -1,69 +0,0 @@
#include <sys/resource.h>
#include <limits.h>
#include <cstdio>
#include <cstdlib>
#include "cereal/visionipc/visionipc_client.h"
#include "common/params.h"
#include "common/swaglog.h"
#include "common/util.h"
#include "selfdrive/modeld/models/dmonitoring.h"
ExitHandler do_exit;
void run_model(DMonitoringModelState &model, VisionIpcClient &vipc_client) {
PubMaster pm({"driverStateV2"});
SubMaster sm({"liveCalibration"});
float calib[CALIB_LEN] = {0};
// double last = 0;
while (!do_exit) {
VisionIpcBufExtra extra = {};
VisionBuf *buf = vipc_client.recv(&extra);
if (buf == nullptr) continue;
sm.update(0);
if (sm.updated("liveCalibration")) {
auto calib_msg = sm["liveCalibration"].getLiveCalibration().getRpyCalib();
for (int i = 0; i < CALIB_LEN; i++) {
calib[i] = calib_msg[i];
}
}
double t1 = millis_since_boot();
DMonitoringModelResult model_res = dmonitoring_eval_frame(&model, buf->addr, buf->width, buf->height, buf->stride, buf->uv_offset, calib);
double t2 = millis_since_boot();
// send dm packet
dmonitoring_publish(pm, extra.frame_id, model_res, (t2 - t1) / 1000.0, model.output);
// printf("dmonitoring process: %.2fms, from last %.2fms\n", t2 - t1, t1 - last);
// last = t1;
}
}
int main(int argc, char **argv) {
setpriority(PRIO_PROCESS, 0, -15);
// init the models
DMonitoringModelState model;
dmonitoring_init(&model);
Params().putBool("DmModelInitialized", true);
LOGW("connecting to driver stream");
VisionIpcClient vipc_client = VisionIpcClient("camerad", VISION_STREAM_DRIVER, true);
while (!do_exit && !vipc_client.connect(false)) {
util::sleep_for(100);
}
// run the models
if (vipc_client.connected) {
LOGW("connected with buffer size: %zu", vipc_client.buffers[0].len);
run_model(model, vipc_client);
}
dmonitoring_free(&model);
return 0;
}

@ -0,0 +1,157 @@
#!/usr/bin/env python3
import os
import gc
import math
import time
import ctypes
import numpy as np
from pathlib import Path
from typing import Tuple, Dict
from cereal import messaging
from cereal.messaging import PubMaster, SubMaster
from cereal.visionipc import VisionIpcClient, VisionStreamType, VisionBuf
from openpilot.system.swaglog import cloudlog
from openpilot.common.params import Params
from openpilot.common.realtime import set_realtime_priority
from openpilot.selfdrive.modeld.runners import ModelRunner, Runtime
from openpilot.selfdrive.modeld.models.commonmodel_pyx import sigmoid
CALIB_LEN = 3
REG_SCALE = 0.25
MODEL_WIDTH = 1440
MODEL_HEIGHT = 960
OUTPUT_SIZE = 84
SEND_RAW_PRED = os.getenv('SEND_RAW_PRED')
MODEL_PATHS = {
ModelRunner.SNPE: Path(__file__).parent / 'models/dmonitoring_model_q.dlc',
ModelRunner.ONNX: Path(__file__).parent / 'models/dmonitoring_model.onnx'}
class DriverStateResult(ctypes.Structure):
_fields_ = [
("face_orientation", ctypes.c_float*3),
("face_position", ctypes.c_float*3),
("face_orientation_std", ctypes.c_float*3),
("face_position_std", ctypes.c_float*3),
("face_prob", ctypes.c_float),
("_unused_a", ctypes.c_float*8),
("left_eye_prob", ctypes.c_float),
("_unused_b", ctypes.c_float*8),
("right_eye_prob", ctypes.c_float),
("left_blink_prob", ctypes.c_float),
("right_blink_prob", ctypes.c_float),
("sunglasses_prob", ctypes.c_float),
("occluded_prob", ctypes.c_float),
("ready_prob", ctypes.c_float*4),
("not_ready_prob", ctypes.c_float*2)]
class DMonitoringModelResult(ctypes.Structure):
_fields_ = [
("driver_state_lhd", DriverStateResult),
("driver_state_rhd", DriverStateResult),
("poor_vision_prob", ctypes.c_float),
("wheel_on_right_prob", ctypes.c_float)]
class ModelState:
inputs: Dict[str, np.ndarray]
output: np.ndarray
model: ModelRunner
def __init__(self):
assert ctypes.sizeof(DMonitoringModelResult) == OUTPUT_SIZE * ctypes.sizeof(ctypes.c_float)
self.output = np.zeros(OUTPUT_SIZE, dtype=np.float32)
self.inputs = {
'input_imgs': np.zeros(MODEL_HEIGHT * MODEL_WIDTH, dtype=np.uint8),
'calib': np.zeros(CALIB_LEN, dtype=np.float32)}
self.model = ModelRunner(MODEL_PATHS, self.output, Runtime.DSP, True, None)
self.model.addInput("input_imgs", None)
self.model.addInput("calib", self.inputs['calib'])
def run(self, buf:VisionBuf, calib:np.ndarray) -> Tuple[np.ndarray, float]:
self.inputs['calib'][:] = calib
v_offset = buf.height - MODEL_HEIGHT
h_offset = (buf.width - MODEL_WIDTH) // 2
buf_data = buf.data.reshape(-1, buf.stride)
input_data = self.inputs['input_imgs'].reshape(MODEL_HEIGHT, MODEL_WIDTH)
input_data[:] = buf_data[v_offset:v_offset+MODEL_HEIGHT, h_offset:h_offset+MODEL_WIDTH]
t1 = time.perf_counter()
self.model.setInputBuffer("input_imgs", self.inputs['input_imgs'].view(np.float32))
self.model.execute()
t2 = time.perf_counter()
return self.output, t2 - t1
def fill_driver_state(msg, ds_result: DriverStateResult):
msg.faceOrientation = [x * REG_SCALE for x in ds_result.face_orientation]
msg.faceOrientationStd = [math.exp(x) for x in ds_result.face_orientation_std]
msg.facePosition = [x * REG_SCALE for x in ds_result.face_position[:2]]
msg.facePositionStd = [math.exp(x) for x in ds_result.face_position_std[:2]]
msg.faceProb = sigmoid(ds_result.face_prob)
msg.leftEyeProb = sigmoid(ds_result.left_eye_prob)
msg.rightEyeProb = sigmoid(ds_result.right_eye_prob)
msg.leftBlinkProb = sigmoid(ds_result.left_blink_prob)
msg.rightBlinkProb = sigmoid(ds_result.right_blink_prob)
msg.sunglassesProb = sigmoid(ds_result.sunglasses_prob)
msg.occludedProb = sigmoid(ds_result.occluded_prob)
msg.readyProb = [sigmoid(x) for x in ds_result.ready_prob]
msg.notReadyProb = [sigmoid(x) for x in ds_result.not_ready_prob]
def get_driverstate_packet(model_output: np.ndarray, frame_id: int, location_ts: int, execution_time: float, dsp_execution_time: float):
model_result = ctypes.cast(model_output.ctypes.data, ctypes.POINTER(DMonitoringModelResult)).contents
msg = messaging.new_message('driverStateV2')
ds = msg.driverStateV2
ds.frameId = frame_id
ds.modelExecutionTime = execution_time
ds.dspExecutionTime = dsp_execution_time
ds.poorVisionProb = sigmoid(model_result.poor_vision_prob)
ds.wheelOnRightProb = sigmoid(model_result.wheel_on_right_prob)
ds.rawPredictions = model_output.tobytes() if SEND_RAW_PRED else b''
fill_driver_state(ds.leftDriverData, model_result.driver_state_lhd)
fill_driver_state(ds.rightDriverData, model_result.driver_state_rhd)
return msg
def main():
gc.disable()
set_realtime_priority(1)
model = ModelState()
cloudlog.warning("models loaded, dmonitoringmodeld starting")
Params().put_bool("DmModelInitialized", True)
cloudlog.warning("connecting to driver stream")
vipc_client = VisionIpcClient("camerad", VisionStreamType.VISION_STREAM_DRIVER, True)
while not vipc_client.connect(False):
time.sleep(0.1)
assert vipc_client.is_connected()
cloudlog.warning(f"connected with buffer size: {vipc_client.buffer_len}")
sm = SubMaster(["liveCalibration"])
pm = PubMaster(["driverStateV2"])
calib = np.zeros(CALIB_LEN, dtype=np.float32)
# last = 0
while True:
buf = vipc_client.recv()
if buf is None:
continue
sm.update(0)
if sm.updated["liveCalibration"]:
calib[:] = np.array(sm["liveCalibration"].rpyCalib)
t1 = time.perf_counter()
model_output, dsp_execution_time = model.run(buf, calib)
t2 = time.perf_counter()
pm.send("driverStateV2", get_driverstate_packet(model_output, vipc_client.frame_id, vipc_client.timestamp_sof, t2 - t1, dsp_execution_time))
# print("dmonitoring process: %.2fms, from last %.2fms\n" % (t2 - t1, t1 - last))
# last = t1
if __name__ == "__main__":
main()

@ -1,133 +0,0 @@
#include <cstring>
#include "common/mat.h"
#include "common/modeldata.h"
#include "common/params.h"
#include "common/timing.h"
#include "system/hardware/hw.h"
#include "selfdrive/modeld/models/dmonitoring.h"
constexpr int MODEL_WIDTH = 1440;
constexpr int MODEL_HEIGHT = 960;
template <class T>
static inline T *get_buffer(std::vector<T> &buf, const size_t size) {
if (buf.size() < size) buf.resize(size);
return buf.data();
}
void dmonitoring_init(DMonitoringModelState* s) {
#ifdef USE_ONNX_MODEL
s->m = new ONNXModel("models/dmonitoring_model.onnx", &s->output[0], OUTPUT_SIZE, USE_DSP_RUNTIME, true);
#else
s->m = new SNPEModel("models/dmonitoring_model_q.dlc", &s->output[0], OUTPUT_SIZE, USE_DSP_RUNTIME, true);
#endif
s->m->addInput("input_imgs", NULL, 0);
s->m->addInput("calib", s->calib, CALIB_LEN);
}
void parse_driver_data(DriverStateResult &ds_res, const DMonitoringModelState* s, int out_idx_offset) {
for (int i = 0; i < 3; ++i) {
ds_res.face_orientation[i] = s->output[out_idx_offset+i] * REG_SCALE;
ds_res.face_orientation_std[i] = exp(s->output[out_idx_offset+6+i]);
}
for (int i = 0; i < 2; ++i) {
ds_res.face_position[i] = s->output[out_idx_offset+3+i] * REG_SCALE;
ds_res.face_position_std[i] = exp(s->output[out_idx_offset+9+i]);
}
for (int i = 0; i < 4; ++i) {
ds_res.ready_prob[i] = sigmoid(s->output[out_idx_offset+35+i]);
}
for (int i = 0; i < 2; ++i) {
ds_res.not_ready_prob[i] = sigmoid(s->output[out_idx_offset+39+i]);
}
ds_res.face_prob = sigmoid(s->output[out_idx_offset+12]);
ds_res.left_eye_prob = sigmoid(s->output[out_idx_offset+21]);
ds_res.right_eye_prob = sigmoid(s->output[out_idx_offset+30]);
ds_res.left_blink_prob = sigmoid(s->output[out_idx_offset+31]);
ds_res.right_blink_prob = sigmoid(s->output[out_idx_offset+32]);
ds_res.sunglasses_prob = sigmoid(s->output[out_idx_offset+33]);
ds_res.occluded_prob = sigmoid(s->output[out_idx_offset+34]);
}
void fill_driver_data(cereal::DriverStateV2::DriverData::Builder ddata, const DriverStateResult &ds_res) {
ddata.setFaceOrientation(ds_res.face_orientation);
ddata.setFaceOrientationStd(ds_res.face_orientation_std);
ddata.setFacePosition(ds_res.face_position);
ddata.setFacePositionStd(ds_res.face_position_std);
ddata.setFaceProb(ds_res.face_prob);
ddata.setLeftEyeProb(ds_res.left_eye_prob);
ddata.setRightEyeProb(ds_res.right_eye_prob);
ddata.setLeftBlinkProb(ds_res.left_blink_prob);
ddata.setRightBlinkProb(ds_res.right_blink_prob);
ddata.setSunglassesProb(ds_res.sunglasses_prob);
ddata.setOccludedProb(ds_res.occluded_prob);
ddata.setReadyProb(ds_res.ready_prob);
ddata.setNotReadyProb(ds_res.not_ready_prob);
}
DMonitoringModelResult dmonitoring_eval_frame(DMonitoringModelState* s, void* stream_buf, int width, int height, int stride, int uv_offset, float *calib) {
int v_off = height - MODEL_HEIGHT;
int h_off = (width - MODEL_WIDTH) / 2;
int yuv_buf_len = MODEL_WIDTH * MODEL_HEIGHT;
uint8_t *raw_buf = (uint8_t *) stream_buf;
// vertical crop free
uint8_t *raw_y_start = raw_buf + stride * v_off;
uint8_t *net_input_buf = get_buffer(s->net_input_buf, yuv_buf_len);
// here makes a uint8 copy
for (int r = 0; r < MODEL_HEIGHT; ++r) {
memcpy(net_input_buf + r * MODEL_WIDTH, raw_y_start + r * stride + h_off, MODEL_WIDTH);
}
// 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(uint8_t), dump_yuv_file);
// fclose(dump_yuv_file);
double t1 = millis_since_boot();
s->m->setInputBuffer("input_imgs", (float*)net_input_buf, yuv_buf_len / sizeof(float));
for (int i = 0; i < CALIB_LEN; i++) {
s->calib[i] = calib[i];
}
s->m->execute();
double t2 = millis_since_boot();
DMonitoringModelResult model_res = {0};
parse_driver_data(model_res.driver_state_lhd, s, 0);
parse_driver_data(model_res.driver_state_rhd, s, 41);
model_res.poor_vision_prob = sigmoid(s->output[82]);
model_res.wheel_on_right_prob = sigmoid(s->output[83]);
model_res.dsp_execution_time = (t2 - t1) / 1000.;
return model_res;
}
void dmonitoring_publish(PubMaster &pm, uint32_t frame_id, const DMonitoringModelResult &model_res, float execution_time, kj::ArrayPtr<const float> raw_pred) {
// make msg
MessageBuilder msg;
auto framed = msg.initEvent().initDriverStateV2();
framed.setFrameId(frame_id);
framed.setModelExecutionTime(execution_time);
framed.setDspExecutionTime(model_res.dsp_execution_time);
framed.setPoorVisionProb(model_res.poor_vision_prob);
framed.setWheelOnRightProb(model_res.wheel_on_right_prob);
fill_driver_data(framed.initLeftDriverData(), model_res.driver_state_lhd);
fill_driver_data(framed.initRightDriverData(), model_res.driver_state_rhd);
if (send_raw_pred) {
framed.setRawPredictions(raw_pred.asBytes());
}
pm.send("driverStateV2", msg);
}
void dmonitoring_free(DMonitoringModelState* s) {
delete s->m;
}

@ -1,50 +0,0 @@
#pragma once
#include <vector>
#include "cereal/messaging/messaging.h"
#include "common/util.h"
#include "selfdrive/modeld/models/commonmodel.h"
#include "selfdrive/modeld/runners/run.h"
#define CALIB_LEN 3
#define OUTPUT_SIZE 84
#define REG_SCALE 0.25f
typedef struct DriverStateResult {
float face_orientation[3];
float face_orientation_std[3];
float face_position[2];
float face_position_std[2];
float face_prob;
float left_eye_prob;
float right_eye_prob;
float left_blink_prob;
float right_blink_prob;
float sunglasses_prob;
float occluded_prob;
float ready_prob[4];
float not_ready_prob[2];
} DriverStateResult;
typedef struct DMonitoringModelResult {
DriverStateResult driver_state_lhd;
DriverStateResult driver_state_rhd;
float poor_vision_prob;
float wheel_on_right_prob;
float dsp_execution_time;
} DMonitoringModelResult;
typedef struct DMonitoringModelState {
RunModel *m;
float output[OUTPUT_SIZE];
std::vector<uint8_t> net_input_buf;
float calib[CALIB_LEN];
} DMonitoringModelState;
void dmonitoring_init(DMonitoringModelState* s);
DMonitoringModelResult dmonitoring_eval_frame(DMonitoringModelState* s, void* stream_buf, int width, int height, int stride, int uv_offset, float *calib);
void dmonitoring_publish(PubMaster &pm, uint32_t frame_id, const DMonitoringModelResult &model_res, float execution_time, kj::ArrayPtr<const float> raw_pred);
void dmonitoring_free(DMonitoringModelState* s);

@ -2,7 +2,3 @@
#include "selfdrive/modeld/runners/runmodel.h" #include "selfdrive/modeld/runners/runmodel.h"
#include "selfdrive/modeld/runners/snpemodel.h" #include "selfdrive/modeld/runners/snpemodel.h"
#if defined(USE_ONNX_MODEL)
#include "selfdrive/modeld/runners/onnxmodel.h"
#endif

@ -37,7 +37,7 @@ PROCS = {
"./_sensord": 7.0, "./_sensord": 7.0,
"selfdrive.controls.radard": 4.5, "selfdrive.controls.radard": 4.5,
"selfdrive.modeld.modeld": 8.0, "selfdrive.modeld.modeld": 8.0,
"./_dmonitoringmodeld": 5.0, "selfdrive.modeld.dmonitoringmodeld": 8.0,
"selfdrive.modeld.navmodeld": 1.0, "selfdrive.modeld.navmodeld": 1.0,
"selfdrive.thermald.thermald": 3.87, "selfdrive.thermald.thermald": 3.87,
"selfdrive.locationd.calibrationd": 2.0, "selfdrive.locationd.calibrationd": 2.0,

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