dragonpilot/selfdrive/locationd/calibrationd.py

#!/usr/bin/env python3

import os
import copy
import json
import numpy as np
import cereal.messaging as messaging
from selfdrive.locationd.calibration_helpers import Calibration
from selfdrive.swaglog import cloudlog
from common.params import Params, put_nonblocking
from common.transformations.model import model_height
from common.transformations.camera import view_frame_from_device_frame, get_view_frame_from_road_frame, \
                                          get_calib_from_vp, H, W, FOCAL

MPH_TO_MS = 0.44704
MIN_SPEED_FILTER = 15 * MPH_TO_MS
MAX_SPEED_STD = 1.5
MAX_YAW_RATE_FILTER = np.radians(2)  # per second

# This is all 20Hz, blocks needed for efficiency
BLOCK_SIZE = 100
INPUTS_NEEDED = 5   # allow to update VP every so many frames
INPUTS_WANTED = 20   # We want a little bit more than we need for stability
WRITE_CYCLES = 10  # write every 1000 cycles
VP_INIT = np.array([W/2., H/2.])

# These validity corners were chosen by looking at 1000
# and taking most extreme cases with some margin.
VP_VALIDITY_CORNERS = np.array([[W//2 - 120, 300], [W//2 + 120, 520]])
DEBUG = os.getenv("DEBUG") is not None


def is_calibration_valid(vp):
  return vp[0] > VP_VALIDITY_CORNERS[0,0] and vp[0] < VP_VALIDITY_CORNERS[1,0] and \
         vp[1] > VP_VALIDITY_CORNERS[0,1] and vp[1] < VP_VALIDITY_CORNERS[1,1]


def sanity_clip(vp):
  if np.isnan(vp).any():
    vp = VP_INIT
  return np.array([np.clip(vp[0], VP_VALIDITY_CORNERS[0,0] - 20, VP_VALIDITY_CORNERS[1,0] + 20),
                   np.clip(vp[1], VP_VALIDITY_CORNERS[0,1] - 20, VP_VALIDITY_CORNERS[1,1] + 20)])


def intrinsics_from_vp(vp):
  return np.array([
    [FOCAL,   0.,   vp[0]],
    [  0.,  FOCAL,  vp[1]],
    [  0.,    0.,     1.]])


class Calibrator():
  def __init__(self, param_put=False):
    self.param_put = param_put
    self.vp = copy.copy(VP_INIT)
    self.vps = np.zeros((INPUTS_WANTED, 2))
    self.idx = 0
    self.block_idx = 0
    self.valid_blocks = 0
    self.cal_status = Calibration.UNCALIBRATED
    self.just_calibrated = False

    # Read calibration
    calibration_params = Params().get("CalibrationParams")
    if calibration_params:
      try:
        calibration_params = json.loads(calibration_params)
        self.vp = np.array(calibration_params["vanishing_point"])
        if not np.isfinite(self.vp).all():
          self.vp = copy.copy(VP_INIT)
        self.vps = np.tile(self.vp, (INPUTS_WANTED, 1))
        self.valid_blocks = calibration_params['valid_blocks']
        if not np.isfinite(self.valid_blocks) or self.valid_blocks < 0:
          self.valid_blocks = 0
        self.update_status()
      except Exception:
        cloudlog.exception("CalibrationParams file found but error encountered")

  def update_status(self):
    start_status = self.cal_status
    if self.valid_blocks < INPUTS_NEEDED:
      self.cal_status = Calibration.UNCALIBRATED
    else:
      self.cal_status = Calibration.CALIBRATED if is_calibration_valid(self.vp) else Calibration.INVALID
    end_status = self.cal_status

    self.just_calibrated = False
    if start_status == Calibration.UNCALIBRATED and end_status == Calibration.CALIBRATED:
      self.just_calibrated = True

  def handle_cam_odom(self, trans, rot, trans_std, rot_std):
    if ((trans[0] > MIN_SPEED_FILTER) and
        (trans_std[0] < MAX_SPEED_STD) and
         (abs(rot[2]) < MAX_YAW_RATE_FILTER)):
      # intrinsics are not eon intrinsics, since this is calibrated frame
      intrinsics = intrinsics_from_vp(self.vp)
      new_vp = intrinsics.dot(view_frame_from_device_frame.dot(trans))
      new_vp = new_vp[:2]/new_vp[2]
      new_vp = sanity_clip(new_vp)

      self.vps[self.block_idx] = (self.idx*self.vps[self.block_idx] + (BLOCK_SIZE - self.idx) * new_vp) / float(BLOCK_SIZE)
      self.idx = (self.idx + 1) % BLOCK_SIZE
      if self.idx == 0:
        self.block_idx += 1
        self.valid_blocks = max(self.block_idx, self.valid_blocks)
        self.block_idx = self.block_idx % INPUTS_WANTED
      self.vp = np.mean(self.vps[:max(1, self.valid_blocks)], axis=0)
      self.update_status()

      if self.param_put and ((self.idx == 0 and self.block_idx == 0) or self.just_calibrated):
        cal_params = {"vanishing_point": list(self.vp),
                      "valid_blocks": self.valid_blocks}
        put_nonblocking("CalibrationParams", json.dumps(cal_params).encode('utf8'))
      return new_vp
    else:
      return None

  def send_data(self, pm):
    calib = get_calib_from_vp(self.vp)
    extrinsic_matrix = get_view_frame_from_road_frame(0, calib[1], calib[2], model_height)

    cal_send = messaging.new_message()
    cal_send.init('liveCalibration')
    cal_send.liveCalibration.calStatus = self.cal_status
    cal_send.liveCalibration.calPerc = min(100 * (self.valid_blocks * BLOCK_SIZE + self.idx) // (INPUTS_NEEDED * BLOCK_SIZE), 100)
    cal_send.liveCalibration.extrinsicMatrix = [float(x) for x in extrinsic_matrix.flatten()]
    cal_send.liveCalibration.rpyCalib = [float(x) for x in calib]

    pm.send('liveCalibration', cal_send)


def calibrationd_thread(sm=None, pm=None):
  if sm is None:
    sm = messaging.SubMaster(['cameraOdometry'])

  if pm is None:
    pm = messaging.PubMaster(['liveCalibration'])

  calibrator = Calibrator(param_put=True)

  send_counter = 0
  while 1:
    sm.update()

    if sm.updated['cameraOdometry']:
      new_vp = calibrator.handle_cam_odom(sm['cameraOdometry'].trans,
                                          sm['cameraOdometry'].rot,
                                          sm['cameraOdometry'].transStd,
                                          sm['cameraOdometry'].rotStd)
    if DEBUG and new_vp is not None:
      print('got new vp', new_vp)

    # decimate outputs for efficiency
    if (send_counter % 5) == 0:
      calibrator.send_data(pm)
    send_counter += 1


def main(sm=None, pm=None):
  calibrationd_thread(sm, pm)


if __name__ == "__main__":
  main()