openpilot_comma/selfdrive/calibrationd/calibrationd.py

#!/usr/bin/env python
from __future__ import print_function

import os
import numpy as np
import tempfile
import zmq

from common.services import service_list
import selfdrive.messaging as messaging
from selfdrive.config import ImageParams, VehicleParams
from selfdrive.calibrationd.calibration import ViewCalibrator, CalibStatus

CALIBRATION_TMP_DIR = "/sdcard"
CALIBRATION_FILE = "/sdcard/calibration_param"

def load_calibration(gctx):
  # calibration initialization
  I = ImageParams()
  vp_guess = None

  if gctx is not None:
    warp_matrix_start = np.array(
        gctx['calibration']["initial_homography"]).reshape(3, 3)
    big_box_size = [560, 304]
  else:
    warp_matrix_start = np.array([[1., 0., I.SX_R],
                                  [0., 1., I.SY_R],
                                  [0., 0., 1.]])
    big_box_size = [640, 480]

  # translate the vanishing point into phone image space
  vp_box = (I.VPX_R-I.SX_R, I.VPY_R-I.SY_R)
  vp_trans = np.dot(warp_matrix_start, vp_box+(1.,))
  vp_img = (vp_trans[0]/vp_trans[2], vp_trans[1]/vp_trans[2])

  # load calibration data
  if os.path.isfile(CALIBRATION_FILE):
    try:
      # If the calibration file exist, start from the last cal values
      with open(CALIBRATION_FILE, "r") as cal_file:
        data = [float(l.strip()) for l in cal_file.readlines()]
        return ViewCalibrator(
            (I.X, I.Y),
            big_box_size,
            vp_img,
            warp_matrix_start,
            vp_f=[data[2], data[3]],
            cal_cycle=data[0],
            cal_status=data[1])
    except Exception as e:
      print("Could not load calibration file: {}".format(e))

  return ViewCalibrator(
    (I.X, I.Y), big_box_size, vp_img, warp_matrix_start, vp_f=vp_guess)

def store_calibration(calib):
  # Tempfile needs to be on the same device as the calbration file.
  with tempfile.NamedTemporaryFile(delete=False, dir=CALIBRATION_TMP_DIR) as cal_file:
    print(calib.cal_cycle, file=cal_file)
    print(calib.cal_status, file=cal_file)
    print(calib.vp_f[0], file=cal_file)
    print(calib.vp_f[1], file=cal_file)
    cal_file_name = cal_file.name
  os.rename(cal_file_name, CALIBRATION_FILE)

def calibrationd_thread(gctx):
  context = zmq.Context()

  features = messaging.sub_sock(context, service_list['features'].port)
  live100 = messaging.sub_sock(context, service_list['live100'].port)

  livecalibration = messaging.pub_sock(context, service_list['liveCalibration'].port)

  # subscribe to stats about the car
  VP = VehicleParams(False)

  v_ego = None

  calib = load_calibration(gctx)
  last_write_cycle = calib.cal_cycle

  while 1:
    # calibration at the end so it does not delay radar processing above
    ft = messaging.recv_sock(features, wait=True)

    # get latest here
    l100 = messaging.recv_sock(live100)
    if l100 is not None:
      v_ego = l100.live100.vEgo
      steer_angle = l100.live100.angleSteers

    if v_ego is None:
      continue

    p0 = ft.features.p0
    p1 = ft.features.p1
    st = ft.features.status

    calib.calibration(p0, p1, st, v_ego, steer_angle, VP)

    # write a new calibration every 100 cal cycle
    if calib.cal_cycle - last_write_cycle >= 100:
      print("writing cal", calib.cal_cycle)
      store_calibration(calib)
      last_write_cycle = calib.cal_cycle

    warp_matrix = map(float, calib.warp_matrix.reshape(9).tolist())
    dat = messaging.new_message()
    dat.init('liveCalibration')
    dat.liveCalibration.warpMatrix = warp_matrix
    dat.liveCalibration.calStatus = calib.cal_status
    dat.liveCalibration.calCycle = calib.cal_cycle
    dat.liveCalibration.calPerc = calib.cal_perc
    livecalibration.send(dat.to_bytes())

def main(gctx=None):
  calibrationd_thread(gctx)

if __name__ == "__main__":
  main()