openpilot_comma/common/transformations/model.py

import numpy as np

from openpilot.common.transformations.orientation import rot_from_euler
from openpilot.common.transformations.camera import (
  FULL_FRAME_SIZE, get_view_frame_from_calib_frame, view_frame_from_device_frame,
  eon_fcam_intrinsics, tici_ecam_intrinsics, tici_fcam_intrinsics)

# segnet
SEGNET_SIZE = (512, 384)

def get_segnet_frame_from_camera_frame(segnet_size=SEGNET_SIZE, full_frame_size=FULL_FRAME_SIZE):
  return np.array([[float(segnet_size[0]) / full_frame_size[0],  0.0],
                   [0.0,  float(segnet_size[1]) / full_frame_size[1]]])
segnet_frame_from_camera_frame = get_segnet_frame_from_camera_frame() # xx


# MED model
MEDMODEL_INPUT_SIZE = (512, 256)
MEDMODEL_YUV_SIZE = (MEDMODEL_INPUT_SIZE[0], MEDMODEL_INPUT_SIZE[1] * 3 // 2)
MEDMODEL_CY = 47.6

medmodel_fl = 910.0
medmodel_intrinsics = np.array([
  [medmodel_fl,  0.0,  0.5 * MEDMODEL_INPUT_SIZE[0]],
  [0.0,  medmodel_fl,                   MEDMODEL_CY],
  [0.0,  0.0,                                   1.0]])


# BIG model
BIGMODEL_INPUT_SIZE = (1024, 512)
BIGMODEL_YUV_SIZE = (BIGMODEL_INPUT_SIZE[0], BIGMODEL_INPUT_SIZE[1] * 3 // 2)

bigmodel_fl = 910.0
bigmodel_intrinsics = np.array([
  [bigmodel_fl,  0.0,  0.5 * BIGMODEL_INPUT_SIZE[0]],
  [0.0,  bigmodel_fl,             256 + MEDMODEL_CY],
  [0.0,  0.0,                                   1.0]])


# SBIG model (big model with the size of small model)
SBIGMODEL_INPUT_SIZE = (512, 256)
SBIGMODEL_YUV_SIZE = (SBIGMODEL_INPUT_SIZE[0], SBIGMODEL_INPUT_SIZE[1] * 3 // 2)

sbigmodel_fl = 455.0
sbigmodel_intrinsics = np.array([
  [sbigmodel_fl,  0.0,  0.5 * SBIGMODEL_INPUT_SIZE[0]],
  [0.0,  sbigmodel_fl,      0.5 * (256 + MEDMODEL_CY)],
  [0.0,  0.0,                                     1.0]])

bigmodel_frame_from_calib_frame = np.dot(bigmodel_intrinsics,
  get_view_frame_from_calib_frame(0, 0, 0, 0))


sbigmodel_frame_from_calib_frame = np.dot(sbigmodel_intrinsics,
  get_view_frame_from_calib_frame(0, 0, 0, 0))

medmodel_frame_from_calib_frame = np.dot(medmodel_intrinsics,
  get_view_frame_from_calib_frame(0, 0, 0, 0))

medmodel_frame_from_bigmodel_frame = np.dot(medmodel_intrinsics, np.linalg.inv(bigmodel_intrinsics))

calib_from_medmodel = np.linalg.inv(medmodel_frame_from_calib_frame[:, :3])
calib_from_sbigmodel = np.linalg.inv(sbigmodel_frame_from_calib_frame[:, :3])

# This function is verified to give similar results to xx.uncommon.utils.transform_img
def get_warp_matrix(device_from_calib_euler: np.ndarray, wide_camera: bool = False, bigmodel_frame: bool = False, tici: bool = True) -> np.ndarray:
  if tici and wide_camera:
    cam_intrinsics = tici_ecam_intrinsics
  elif tici:
    cam_intrinsics = tici_fcam_intrinsics
  else:
    cam_intrinsics = eon_fcam_intrinsics

  calib_from_model = calib_from_sbigmodel if bigmodel_frame else calib_from_medmodel
  device_from_calib = rot_from_euler(device_from_calib_euler)
  camera_from_calib = cam_intrinsics @ view_frame_from_device_frame @ device_from_calib
  warp_matrix: np.ndarray = camera_from_calib @ calib_from_model
  return warp_matrix