Merge remote-tracking branch 'upstream/master' into person-changing

pull/31792/head
Shane Smiskol 1 year ago
commit 1c88f7de10
  1. 2
      .pre-commit-config.yaml
  2. 2
      cereal
  3. 1
      common/params.cc
  4. 87
      common/transformations/camera.py
  5. 21
      common/transformations/model.py
  6. 2
      panda
  7. 445
      poetry.lock
  8. 2
      release/build_release.sh
  9. 1
      release/files_common
  10. 42
      selfdrive/boardd/boardd.cc
  11. 39
      selfdrive/boardd/panda.cc
  12. 3
      selfdrive/boardd/panda.h
  13. 5
      selfdrive/boardd/pandad.py
  14. 38
      selfdrive/boardd/set_time.py
  15. 2
      selfdrive/car/chrysler/fingerprints.py
  16. 1
      selfdrive/car/toyota/fingerprints.py
  17. 10
      selfdrive/modeld/modeld.py
  18. 11
      selfdrive/modeld/tests/test_modeld.py
  19. 6
      selfdrive/monitoring/driver_monitor.py
  20. 16
      selfdrive/test/process_replay/migration.py
  21. 18
      selfdrive/test/process_replay/model_replay.py
  22. 2
      selfdrive/test/process_replay/process_replay.py
  23. 2
      selfdrive/test/process_replay/ref_commit
  24. 4
      selfdrive/test/process_replay/regen.py
  25. 10
      selfdrive/test/process_replay/vision_meta.py
  26. 1
      selfdrive/thermald/thermald.py
  27. 10
      selfdrive/ui/qt/network/networking.cc
  28. 3
      selfdrive/ui/qt/network/wifi_manager.cc
  29. 2
      selfdrive/ui/qt/network/wifi_manager.h
  30. 11
      selfdrive/ui/tests/test_ui/run.py
  31. 7
      selfdrive/updated/tests/test_base.py
  32. 9
      system/loggerd/tests/test_loggerd.py
  33. 43
      tools/replay/lib/ui_helpers.py
  34. 26
      tools/replay/ui.py
  35. 1
      tools/sim/bridge/metadrive/metadrive_bridge.py
  36. 6
      tools/sim/bridge/metadrive/metadrive_process.py
  37. 1
      tools/sim/scenarios/metadrive/stay_in_lane.py

@ -33,7 +33,7 @@ repos:
- -L bu,ro,te,ue,alo,hda,ois,nam,nams,ned,som,parm,setts,inout,warmup,bumb,nd,sie,preints
- --builtins clear,rare,informal,usage,code,names,en-GB_to_en-US
- repo: https://github.com/astral-sh/ruff-pre-commit
rev: v0.2.2
rev: v0.3.2
hooks:
- id: ruff
exclude: '^(third_party/)|(cereal/)|(panda/)|(rednose/)|(rednose_repo/)|(tinygrad/)|(tinygrad_repo/)|(teleoprtc/)|(teleoprtc_repo/)'

@ -1 +1 @@
Subproject commit ae018910975883dfe70700fe161092ef62050fc2
Subproject commit 2e49ea08fc15c5947f6564dbc7982e95e32c1344

@ -207,7 +207,6 @@ std::unordered_map<std::string, uint32_t> keys = {
{"UpdaterTargetBranch", CLEAR_ON_MANAGER_START},
{"UpdaterLastFetchTime", PERSISTENT},
{"Version", PERSISTENT},
{"VisionRadarToggle", PERSISTENT},
};
} // namespace

@ -1,55 +1,58 @@
import itertools
import numpy as np
from dataclasses import dataclass
import openpilot.common.transformations.orientation as orient
## -- hardcoded hardware params --
eon_f_focal_length = 910.0
eon_d_focal_length = 650.0
tici_f_focal_length = 2648.0
tici_e_focal_length = tici_d_focal_length = 567.0 # probably wrong? magnification is not consistent across frame
eon_f_frame_size = (1164, 874)
eon_d_frame_size = (816, 612)
tici_f_frame_size = tici_e_frame_size = tici_d_frame_size = (1928, 1208)
@dataclass(frozen=True)
class CameraConfig:
width: int
height: int
focal_length: float
@property
def intrinsics(self):
# aka 'K' aka camera_frame_from_view_frame
eon_fcam_intrinsics = np.array([
[eon_f_focal_length, 0.0, float(eon_f_frame_size[0])/2],
[0.0, eon_f_focal_length, float(eon_f_frame_size[1])/2],
[0.0, 0.0, 1.0]])
eon_intrinsics = eon_fcam_intrinsics # xx
eon_dcam_intrinsics = np.array([
[eon_d_focal_length, 0.0, float(eon_d_frame_size[0])/2],
[0.0, eon_d_focal_length, float(eon_d_frame_size[1])/2],
[0.0, 0.0, 1.0]])
tici_fcam_intrinsics = np.array([
[tici_f_focal_length, 0.0, float(tici_f_frame_size[0])/2],
[0.0, tici_f_focal_length, float(tici_f_frame_size[1])/2],
[0.0, 0.0, 1.0]])
tici_dcam_intrinsics = np.array([
[tici_d_focal_length, 0.0, float(tici_d_frame_size[0])/2],
[0.0, tici_d_focal_length, float(tici_d_frame_size[1])/2],
[0.0, 0.0, 1.0]])
tici_ecam_intrinsics = tici_dcam_intrinsics
return np.array([
[self.focal_length, 0.0, float(self.width)/2],
[0.0, self.focal_length, float(self.height)/2],
[0.0, 0.0, 1.0]
])
@property
def intrinsics_inv(self):
# aka 'K_inv' aka view_frame_from_camera_frame
eon_fcam_intrinsics_inv = np.linalg.inv(eon_fcam_intrinsics)
eon_intrinsics_inv = eon_fcam_intrinsics_inv # xx
return np.linalg.inv(self.intrinsics)
@dataclass(frozen=True)
class DeviceCameraConfig:
fcam: CameraConfig
dcam: CameraConfig
ecam: CameraConfig
tici_fcam_intrinsics_inv = np.linalg.inv(tici_fcam_intrinsics)
tici_ecam_intrinsics_inv = np.linalg.inv(tici_ecam_intrinsics)
ar_ox_fisheye = CameraConfig(1928, 1208, 567.0) # focal length probably wrong? magnification is not consistent across frame
ar_ox_config = DeviceCameraConfig(CameraConfig(1928, 1208, 2648.0), ar_ox_fisheye, ar_ox_fisheye)
os_fisheye = CameraConfig(2688, 1520, 567.0 / 2 * 3)
os_config = DeviceCameraConfig(CameraConfig(2688, 1520, 2648.0 * 2 / 3), os_fisheye, os_fisheye)
DEVICE_CAMERAS = {
# A "device camera" is defined by a device type and sensor
FULL_FRAME_SIZE = tici_f_frame_size
FOCAL = tici_f_focal_length
fcam_intrinsics = tici_fcam_intrinsics
# sensor type was never set on eon/neo/two
("neo", "unknown"): DeviceCameraConfig(CameraConfig(1164, 874, 910.0), CameraConfig(816, 612, 650.0), CameraConfig(0, 0, 0.)),
# unknown here is AR0231, field was added with OX03C10 support
("tici", "unknown"): ar_ox_config,
W, H = FULL_FRAME_SIZE[0], FULL_FRAME_SIZE[1]
# before deviceState.deviceType was set, assume tici AR config
("unknown", "ar0231"): ar_ox_config,
("unknown", "ox03c10"): ar_ox_config,
# simulator (emulates a tici)
("pc", "unknown"): ar_ox_config,
}
prods = itertools.product(('tici', 'tizi', 'mici'), (('ar0231', ar_ox_config), ('ox03c10', ar_ox_config), ('os04c10', os_config)))
DEVICE_CAMERAS.update({(d, c[0]): c[1] for d, c in prods})
# device/mesh : x->forward, y-> right, z->down
# view : x->right, y->down, z->forward
@ -93,7 +96,7 @@ def roll_from_ke(m):
-(m[0, 0] - m[0, 1] * m[2, 0] / m[2, 1]))
def normalize(img_pts, intrinsics=fcam_intrinsics):
def normalize(img_pts, intrinsics):
# normalizes image coordinates
# accepts single pt or array of pts
intrinsics_inv = np.linalg.inv(intrinsics)
@ -106,7 +109,7 @@ def normalize(img_pts, intrinsics=fcam_intrinsics):
return img_pts_normalized[:, :2].reshape(input_shape)
def denormalize(img_pts, intrinsics=fcam_intrinsics, width=np.inf, height=np.inf):
def denormalize(img_pts, intrinsics, width=np.inf, height=np.inf):
# denormalizes image coordinates
# accepts single pt or array of pts
img_pts = np.array(img_pts)
@ -123,7 +126,7 @@ def denormalize(img_pts, intrinsics=fcam_intrinsics, width=np.inf, height=np.inf
return img_pts_denormalized[:, :2].reshape(input_shape)
def get_calib_from_vp(vp, intrinsics=fcam_intrinsics):
def get_calib_from_vp(vp, intrinsics):
vp_norm = normalize(vp, intrinsics)
yaw_calib = np.arctan(vp_norm[0])
pitch_calib = -np.arctan(vp_norm[1]*np.cos(yaw_calib))

@ -1,19 +1,11 @@
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)
from openpilot.common.transformations.camera import get_view_frame_from_calib_frame, view_frame_from_device_frame
# 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)
@ -63,16 +55,9 @@ 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
def get_warp_matrix(device_from_calib_euler: np.ndarray, intrinsics: np.ndarray, bigmodel_frame: bool = False) -> np.ndarray:
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
camera_from_calib = intrinsics @ view_frame_from_device_frame @ device_from_calib
warp_matrix: np.ndarray = camera_from_calib @ calib_from_model
return warp_matrix

@ -1 +1 @@
Subproject commit 41e9610ff841e4cf62051c6df09c1870f5d12477
Subproject commit 895a7001c9d21ac7c4ace65debe70dfaee017443

445
poetry.lock generated

@ -255,13 +255,13 @@ files = [
[[package]]
name = "azure-core"
version = "1.30.0"
version = "1.30.1"
description = "Microsoft Azure Core Library for Python"
optional = false
python-versions = ">=3.7"
files = [
{file = "azure-core-1.30.0.tar.gz", hash = "sha256:6f3a7883ef184722f6bd997262eddaf80cfe7e5b3e0caaaf8db1695695893d35"},
{file = "azure_core-1.30.0-py3-none-any.whl", hash = "sha256:3dae7962aad109610e68c9a7abb31d79720e1d982ddf61363038d175a5025e89"},
{file = "azure-core-1.30.1.tar.gz", hash = "sha256:26273a254131f84269e8ea4464f3560c731f29c0c1f69ac99010845f239c1a8f"},
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]
[package.dependencies]
@ -291,13 +291,13 @@ msal-extensions = ">=0.3.0,<2.0.0"
[[package]]
name = "azure-storage-blob"
version = "12.19.0"
version = "12.19.1"
description = "Microsoft Azure Blob Storage Client Library for Python"
optional = false
python-versions = ">=3.7"
files = [
{file = "azure-storage-blob-12.19.0.tar.gz", hash = "sha256:26c0a4320a34a3c2a1b74528ba6812ebcb632a04cd67b1c7377232c4b01a5897"},
{file = "azure_storage_blob-12.19.0-py3-none-any.whl", hash = "sha256:7bbc2c9c16678f7a420367fef6b172ba8730a7e66df7f4d7a55d5b3c8216615b"},
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]
[package.dependencies]
@ -894,69 +894,69 @@ tests = ["pytest", "pytest-cov", "pytest-xdist"]
[[package]]
name = "cython"
version = "3.0.8"
version = "3.0.9"
description = "The Cython compiler for writing C extensions in the Python language."
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
files = [
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{file = "pyOpenSSL-24.1.0.tar.gz", hash = "sha256:cabed4bfaa5df9f1a16c0ef64a0cb65318b5cd077a7eda7d6970131ca2f41a6f"},
]
[package.dependencies]
@ -6308,17 +6309,17 @@ cryptography = ">=41.0.5,<43"
[package.extras]
docs = ["sphinx (!=5.2.0,!=5.2.0.post0,!=7.2.5)", "sphinx-rtd-theme"]
test = ["flaky", "pretend", "pytest (>=3.0.1)"]
test = ["pretend", "pytest (>=3.0.1)", "pytest-rerunfailures"]
[[package]]
name = "pyparsing"
version = "3.1.1"
version = "3.1.2"
description = "pyparsing module - Classes and methods to define and execute parsing grammars"
optional = false
python-versions = ">=3.6.8"
files = [
{file = "pyparsing-3.1.1-py3-none-any.whl", hash = "sha256:32c7c0b711493c72ff18a981d24f28aaf9c1fb7ed5e9667c9e84e3db623bdbfb"},
{file = "pyparsing-3.1.1.tar.gz", hash = "sha256:ede28a1a32462f5a9705e07aea48001a08f7cf81a021585011deba701581a0db"},
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]
[package.extras]
@ -6469,23 +6470,23 @@ cp2110 = ["hidapi"]
[[package]]
name = "pytest"
version = "8.0.2"
version = "8.1.1"
description = "pytest: simple powerful testing with Python"
optional = false
python-versions = ">=3.8"
files = [
{file = "pytest-8.0.2-py3-none-any.whl", hash = "sha256:edfaaef32ce5172d5466b5127b42e0d6d35ebbe4453f0e3505d96afd93f6b096"},
{file = "pytest-8.0.2.tar.gz", hash = "sha256:d4051d623a2e0b7e51960ba963193b09ce6daeb9759a451844a21e4ddedfc1bd"},
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{file = "pytest-8.1.1.tar.gz", hash = "sha256:ac978141a75948948817d360297b7aae0fcb9d6ff6bc9ec6d514b85d5a65c044"},
]
[package.dependencies]
colorama = {version = "*", markers = "sys_platform == \"win32\""}
iniconfig = "*"
packaging = "*"
pluggy = ">=1.3.0,<2.0"
pluggy = ">=1.4,<2.0"
[package.extras]
testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
testing = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
[[package]]
name = "pytest-cov"
@ -6536,13 +6537,13 @@ pytest = "*"
[[package]]
name = "pytest-subtests"
version = "0.11.0"
version = "0.12.1"
description = "unittest subTest() support and subtests fixture"
optional = false
python-versions = ">=3.7"
files = [
{file = "pytest-subtests-0.11.0.tar.gz", hash = "sha256:51865c88457545f51fb72011942f0a3c6901ee9e24cbfb6d1b9dc1348bafbe37"},
{file = "pytest_subtests-0.11.0-py3-none-any.whl", hash = "sha256:453389984952eec85ab0ce0c4f026337153df79587048271c7fd0f49119c07e4"},
{file = "pytest-subtests-0.12.1.tar.gz", hash = "sha256:d6605dcb88647e0b7c1889d027f8ef1c17d7a2c60927ebfdc09c7b0d8120476d"},
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]
[package.dependencies]
@ -6551,17 +6552,17 @@ pytest = ">=7.0"
[[package]]
name = "pytest-timeout"
version = "2.2.0"
version = "2.3.1"
description = "pytest plugin to abort hanging tests"
optional = false
python-versions = ">=3.7"
files = [
{file = "pytest-timeout-2.2.0.tar.gz", hash = "sha256:3b0b95dabf3cb50bac9ef5ca912fa0cfc286526af17afc806824df20c2f72c90"},
{file = "pytest_timeout-2.2.0-py3-none-any.whl", hash = "sha256:bde531e096466f49398a59f2dde76fa78429a09a12411466f88a07213e220de2"},
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]
[package.dependencies]
pytest = ">=5.0.0"
pytest = ">=7.0.0"
[[package]]
name = "pytest-xdist"
@ -6585,13 +6586,13 @@ testing = ["filelock"]
[[package]]
name = "python-dateutil"
version = "2.8.2"
version = "2.9.0.post0"
description = "Extensions to the standard Python datetime module"
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
files = [
{file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
{file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
{file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"},
{file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"},
]
[package.dependencies]
@ -6925,28 +6926,28 @@ docs = ["furo (==2023.9.10)", "pyenchant (==3.2.2)", "sphinx (==7.1.2)", "sphinx
[[package]]
name = "ruff"
version = "0.2.2"
version = "0.3.2"
description = "An extremely fast Python linter and code formatter, written in Rust."
optional = false
python-versions = ">=3.7"
files = [
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[[package]]
@ -7028,13 +7029,13 @@ stats = ["scipy (>=1.7)", "statsmodels (>=0.12)"]
[[package]]
name = "sentry-sdk"
version = "1.40.5"
version = "1.41.0"
description = "Python client for Sentry (https://sentry.io)"
optional = false
python-versions = "*"
files = [
{file = "sentry-sdk-1.40.5.tar.gz", hash = "sha256:d2dca2392cc5c9a2cc9bb874dd7978ebb759682fe4fe889ee7e970ee8dd1c61e"},
{file = "sentry_sdk-1.40.5-py2.py3-none-any.whl", hash = "sha256:d188b407c9bacbe2a50a824e1f8fb99ee1aeb309133310488c570cb6d7056643"},
{file = "sentry-sdk-1.41.0.tar.gz", hash = "sha256:4f2d6c43c07925d8cd10dfbd0970ea7cb784f70e79523cca9dbcd72df38e5a46"},
{file = "sentry_sdk-1.41.0-py2.py3-none-any.whl", hash = "sha256:be4f8f4b29a80b6a3b71f0f31487beb9e296391da20af8504498a328befed53f"},
]
[package.dependencies]
@ -7595,13 +7596,13 @@ telegram = ["requests"]
[[package]]
name = "types-requests"
version = "2.31.0.20240218"
version = "2.31.0.20240311"
description = "Typing stubs for requests"
optional = false
python-versions = ">=3.8"
files = [
{file = "types-requests-2.31.0.20240218.tar.gz", hash = "sha256:f1721dba8385958f504a5386240b92de4734e047a08a40751c1654d1ac3349c5"},
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{file = "types_requests-2.31.0.20240311-py3-none-any.whl", hash = "sha256:47872893d65a38e282ee9f277a4ee50d1b28bd592040df7d1fdaffdf3779937d"},
]
[package.dependencies]

@ -94,7 +94,7 @@ cp -pR -n --parents $TEST_FILES $BUILD_DIR/
cd $BUILD_DIR
RELEASE=1 selfdrive/test/test_onroad.py
#selfdrive/manager/test/test_manager.py
selfdrive/car/tests/test_car_interfaces.py
#selfdrive/car/tests/test_car_interfaces.py
rm -rf $TEST_FILES
if [ ! -z "$RELEASE_BRANCH" ]; then

@ -82,7 +82,6 @@ selfdrive/boardd/panda.h
selfdrive/boardd/spi.cc
selfdrive/boardd/panda_comms.h
selfdrive/boardd/panda_comms.cc
selfdrive/boardd/set_time.py
selfdrive/boardd/pandad.py
selfdrive/boardd/tests/test_boardd_loopback.py

@ -49,12 +49,6 @@ std::atomic<bool> ignition(false);
ExitHandler do_exit;
static std::string get_time_str(const struct tm &time) {
char s[30] = {'\0'};
std::strftime(s, std::size(s), "%Y-%m-%d %H:%M:%S", &time);
return s;
}
bool check_all_connected(const std::vector<Panda *> &pandas) {
for (const auto& panda : pandas) {
if (!panda->connected()) {
@ -65,36 +59,6 @@ bool check_all_connected(const std::vector<Panda *> &pandas) {
return true;
}
enum class SyncTimeDir { TO_PANDA, FROM_PANDA };
void sync_time(Panda *panda, SyncTimeDir dir) {
if (!panda->has_rtc) return;
setenv("TZ", "UTC", 1);
struct tm sys_time = util::get_time();
struct tm rtc_time = panda->get_rtc();
if (dir == SyncTimeDir::TO_PANDA) {
if (util::time_valid(sys_time)) {
// Write time to RTC if it looks reasonable
double seconds = difftime(mktime(&rtc_time), mktime(&sys_time));
if (std::abs(seconds) > 1.1) {
panda->set_rtc(sys_time);
LOGW("Updating panda RTC. dt = %.2f System: %s RTC: %s",
seconds, get_time_str(sys_time).c_str(), get_time_str(rtc_time).c_str());
}
}
} else if (dir == SyncTimeDir::FROM_PANDA) {
LOGW("System time: %s, RTC time: %s", get_time_str(sys_time).c_str(), get_time_str(rtc_time).c_str());
if (!util::time_valid(sys_time) && util::time_valid(rtc_time)) {
const struct timeval tv = {mktime(&rtc_time), 0};
settimeofday(&tv, 0);
LOGE("System time wrong, setting from RTC.");
}
}
}
bool safety_setter_thread(std::vector<Panda *> pandas) {
LOGD("Starting safety setter thread");
@ -195,7 +159,6 @@ Panda *connect(std::string serial="", uint32_t index=0) {
throw std::runtime_error("Panda firmware out of date. Run pandad.py to update.");
}
sync_time(panda.get(), SyncTimeDir::FROM_PANDA);
return panda.release();
}
@ -581,11 +544,6 @@ void peripheral_control_thread(Panda *panda, bool no_fan_control) {
panda->set_ir_pwr(ir_pwr);
prev_ir_pwr = ir_pwr;
}
// Write to rtc once per minute when no ignition present
if (!ignition && (sm.frame % 120 == 1)) {
sync_time(panda, SyncTimeDir::TO_PANDA);
}
}
}

@ -25,10 +25,6 @@ Panda::Panda(std::string serial, uint32_t bus_offset) : bus_offset(bus_offset) {
}
hw_type = get_hw_type();
has_rtc = (hw_type == cereal::PandaState::PandaType::UNO) ||
(hw_type == cereal::PandaState::PandaType::DOS) ||
(hw_type == cereal::PandaState::PandaType::TRES);
can_reset_communications();
return;
@ -77,41 +73,6 @@ cereal::PandaState::PandaType Panda::get_hw_type() {
return (cereal::PandaState::PandaType)(hw_query[0]);
}
void Panda::set_rtc(struct tm sys_time) {
// tm struct has year defined as years since 1900
handle->control_write(0xa1, (uint16_t)(1900 + sys_time.tm_year), 0);
handle->control_write(0xa2, (uint16_t)(1 + sys_time.tm_mon), 0);
handle->control_write(0xa3, (uint16_t)sys_time.tm_mday, 0);
// handle->control_write(0xa4, (uint16_t)(1 + sys_time.tm_wday), 0);
handle->control_write(0xa5, (uint16_t)sys_time.tm_hour, 0);
handle->control_write(0xa6, (uint16_t)sys_time.tm_min, 0);
handle->control_write(0xa7, (uint16_t)sys_time.tm_sec, 0);
}
struct tm Panda::get_rtc() {
struct __attribute__((packed)) timestamp_t {
uint16_t year; // Starts at 0
uint8_t month;
uint8_t day;
uint8_t weekday;
uint8_t hour;
uint8_t minute;
uint8_t second;
} rtc_time = {0};
handle->control_read(0xa0, 0, 0, (unsigned char*)&rtc_time, sizeof(rtc_time));
struct tm new_time = { 0 };
new_time.tm_year = rtc_time.year - 1900; // tm struct has year defined as years since 1900
new_time.tm_mon = rtc_time.month - 1;
new_time.tm_mday = rtc_time.day;
new_time.tm_hour = rtc_time.hour;
new_time.tm_min = rtc_time.minute;
new_time.tm_sec = rtc_time.second;
return new_time;
}
void Panda::set_fan_speed(uint16_t fan_speed) {
handle->control_write(0xb1, fan_speed, 0);
}

@ -50,7 +50,6 @@ public:
Panda(std::string serial="", uint32_t bus_offset=0);
cereal::PandaState::PandaType hw_type = cereal::PandaState::PandaType::UNKNOWN;
bool has_rtc = false;
const uint32_t bus_offset;
bool connected();
@ -64,8 +63,6 @@ public:
cereal::PandaState::PandaType get_hw_type();
void set_safety_model(cereal::CarParams::SafetyModel safety_model, uint16_t safety_param=0U);
void set_alternative_experience(uint16_t alternative_experience);
void set_rtc(struct tm sys_time);
struct tm get_rtc();
void set_fan_speed(uint16_t fan_speed);
uint16_t get_fan_speed();
void set_ir_pwr(uint16_t ir_pwr);

@ -10,7 +10,6 @@ from functools import cmp_to_key
from panda import Panda, PandaDFU, PandaProtocolMismatch, FW_PATH
from openpilot.common.basedir import BASEDIR
from openpilot.common.params import Params
from openpilot.selfdrive.boardd.set_time import set_time
from openpilot.system.hardware import HARDWARE
from openpilot.common.swaglog import cloudlog
@ -154,10 +153,6 @@ def main() -> NoReturn:
cloudlog.event("panda.som_reset_triggered", health=health, serial=panda.get_usb_serial())
if first_run:
if panda.is_internal():
# update time from RTC
set_time(cloudlog)
# reset panda to ensure we're in a good state
cloudlog.info(f"Resetting panda {panda.get_usb_serial()}")
if panda.is_internal():

@ -1,38 +0,0 @@
#!/usr/bin/env python3
import os
import datetime
from panda import Panda
from openpilot.common.time import MIN_DATE
def set_time(logger):
sys_time = datetime.datetime.today()
if sys_time > MIN_DATE:
logger.info("System time valid")
return
try:
ps = Panda.list()
if len(ps) == 0:
logger.error("Failed to set time, no pandas found")
return
for s in ps:
with Panda(serial=s) as p:
if not p.is_internal():
continue
# Set system time from panda RTC time
panda_time = p.get_datetime()
if panda_time > MIN_DATE:
logger.info(f"adjusting time from '{sys_time}' to '{panda_time}'")
os.system(f"TZ=UTC date -s '{panda_time}'")
break
except Exception:
logger.exception("Failed to fetch time from panda")
if __name__ == "__main__":
import logging
logging.basicConfig(level=logging.DEBUG)
set_time(logging)

@ -404,6 +404,7 @@ FW_VERSIONS = {
b'68527383AD',
b'68527387AE',
b'68527403AC',
b'68527403AD',
b'68546047AF',
b'68631938AA',
b'68631942AA',
@ -477,6 +478,7 @@ FW_VERSIONS = {
],
(Ecu.engine, 0x7e0, None): [
b'05035699AG ',
b'05035841AC ',
b'05036026AB ',
b'05036065AE ',
b'05036066AE ',

@ -1547,6 +1547,7 @@ FW_VERSIONS = {
b'\x018966348W5100\x00\x00\x00\x00',
b'\x018966348W9000\x00\x00\x00\x00',
b'\x018966348X0000\x00\x00\x00\x00',
b'\x01896634D11000\x00\x00\x00\x00',
b'\x01896634D12000\x00\x00\x00\x00',
b'\x01896634D12100\x00\x00\x00\x00',
b'\x01896634D43000\x00\x00\x00\x00',

@ -13,6 +13,7 @@ from openpilot.common.swaglog import cloudlog
from openpilot.common.params import Params
from openpilot.common.filter_simple import FirstOrderFilter
from openpilot.common.realtime import config_realtime_process
from openpilot.common.transformations.camera import DEVICE_CAMERAS
from openpilot.common.transformations.model import get_warp_matrix
from openpilot.selfdrive import sentry
from openpilot.selfdrive.car.car_helpers import get_demo_car_params
@ -153,7 +154,7 @@ def main(demo=False):
# messaging
pm = PubMaster(["modelV2", "cameraOdometry"])
sm = SubMaster(["carState", "roadCameraState", "liveCalibration", "driverMonitoringState", "navModel", "navInstruction", "carControl"])
sm = SubMaster(["deviceState", "carState", "roadCameraState", "liveCalibration", "driverMonitoringState", "navModel", "navInstruction", "carControl"])
publish_state = PublishState()
params = Params()
@ -225,10 +226,11 @@ def main(demo=False):
is_rhd = sm["driverMonitoringState"].isRHD
frame_id = sm["roadCameraState"].frameId
lateral_control_params = np.array([sm["carState"].vEgo, steer_delay], dtype=np.float32)
if sm.updated["liveCalibration"]:
if sm.updated["liveCalibration"] and sm.seen['roadCameraState'] and sm.seen['deviceState']:
device_from_calib_euler = np.array(sm["liveCalibration"].rpyCalib, dtype=np.float32)
model_transform_main = get_warp_matrix(device_from_calib_euler, main_wide_camera, False).astype(np.float32)
model_transform_extra = get_warp_matrix(device_from_calib_euler, True, True).astype(np.float32)
dc = DEVICE_CAMERAS[(str(sm['deviceState'].deviceType), str(sm['roadCameraState'].sensor))]
model_transform_main = get_warp_matrix(device_from_calib_euler, dc.ecam.intrinsics if main_wide_camera else dc.fcam.intrinsics, False).astype(np.float32)
model_transform_extra = get_warp_matrix(device_from_calib_euler, dc.ecam.intrinsics, True).astype(np.float32)
live_calib_seen = True
traffic_convention = np.zeros(2)

@ -5,13 +5,14 @@ import random
import cereal.messaging as messaging
from cereal.visionipc import VisionIpcServer, VisionStreamType
from openpilot.common.transformations.camera import tici_f_frame_size
from openpilot.common.transformations.camera import DEVICE_CAMERAS
from openpilot.common.realtime import DT_MDL
from openpilot.selfdrive.car.car_helpers import write_car_param
from openpilot.selfdrive.manager.process_config import managed_processes
from openpilot.selfdrive.test.process_replay.vision_meta import meta_from_camera_state
IMG = np.zeros(int(tici_f_frame_size[0]*tici_f_frame_size[1]*(3/2)), dtype=np.uint8)
CAM = DEVICE_CAMERAS[("tici", "ar0231")].fcam
IMG = np.zeros(int(CAM.width*CAM.height*(3/2)), dtype=np.uint8)
IMG_BYTES = IMG.flatten().tobytes()
@ -19,9 +20,9 @@ class TestModeld(unittest.TestCase):
def setUp(self):
self.vipc_server = VisionIpcServer("camerad")
self.vipc_server.create_buffers(VisionStreamType.VISION_STREAM_ROAD, 40, False, *tici_f_frame_size)
self.vipc_server.create_buffers(VisionStreamType.VISION_STREAM_DRIVER, 40, False, *tici_f_frame_size)
self.vipc_server.create_buffers(VisionStreamType.VISION_STREAM_WIDE_ROAD, 40, False, *tici_f_frame_size)
self.vipc_server.create_buffers(VisionStreamType.VISION_STREAM_ROAD, 40, False, CAM.width, CAM.height)
self.vipc_server.create_buffers(VisionStreamType.VISION_STREAM_DRIVER, 40, False, CAM.width, CAM.height)
self.vipc_server.create_buffers(VisionStreamType.VISION_STREAM_WIDE_ROAD, 40, False, CAM.width, CAM.height)
self.vipc_server.start_listener()
write_car_param()

@ -5,7 +5,7 @@ from openpilot.common.numpy_fast import interp
from openpilot.common.realtime import DT_DMON
from openpilot.common.filter_simple import FirstOrderFilter
from openpilot.common.stat_live import RunningStatFilter
from openpilot.common.transformations.camera import tici_d_frame_size
from openpilot.common.transformations.camera import DEVICE_CAMERAS
EventName = car.CarEvent.EventName
@ -71,9 +71,11 @@ class DRIVER_MONITOR_SETTINGS():
self._MAX_TERMINAL_DURATION = int(30 / self._DT_DMON) # not allowed to engage after 30s of terminal alerts
# TODO: get these live
# model output refers to center of undistorted+leveled image
EFL = 598.0 # focal length in K
W, H = tici_d_frame_size # corrected image has same size as raw
cam = DEVICE_CAMERAS[("tici", "ar0231")] # corrected image has same size as raw
W, H = (cam.dcam.width, cam.dcam.height) # corrected image has same size as raw
class DistractedType:
NOT_DISTRACTED = 0

@ -12,6 +12,7 @@ def migrate_all(lr, old_logtime=False, manager_states=False, panda_states=False,
msgs = migrate_sensorEvents(lr, old_logtime)
msgs = migrate_carParams(msgs, old_logtime)
msgs = migrate_gpsLocation(msgs)
msgs = migrate_deviceState(msgs)
if manager_states:
msgs = migrate_managerState(msgs)
if panda_states:
@ -52,6 +53,21 @@ def migrate_gpsLocation(lr):
return all_msgs
def migrate_deviceState(lr):
all_msgs = []
dt = None
for msg in lr:
if msg.which() == 'initData':
dt = msg.initData.deviceType
if msg.which() == 'deviceState':
n = msg.as_builder()
n.deviceState.deviceType = dt
all_msgs.append(n.as_reader())
else:
all_msgs.append(msg)
return all_msgs
def migrate_pandaStates(lr):
all_msgs = []
# TODO: safety param migration should be handled automatically

@ -107,14 +107,17 @@ def model_replay(lr, frs):
# modeld is using frame pairs
modeld_logs = trim_logs_to_max_frames(lr, MAX_FRAMES, {"roadCameraState", "wideRoadCameraState"}, {"roadEncodeIdx", "wideRoadEncodeIdx", "carParams"})
dmodeld_logs = trim_logs_to_max_frames(lr, MAX_FRAMES, {"driverCameraState"}, {"driverEncodeIdx", "carParams"})
if not SEND_EXTRA_INPUTS:
modeld_logs = [msg for msg in modeld_logs if msg.which() not in ["liveCalibration",]]
dmodeld_logs = [msg for msg in dmodeld_logs if msg.which() not in ["liveCalibration",]]
# initial calibration
cal_msg = next(msg for msg in lr if msg.which() == "liveCalibration").as_builder()
cal_msg.logMonoTime = lr[0].logMonoTime
modeld_logs.insert(0, cal_msg.as_reader())
dmodeld_logs.insert(0, cal_msg.as_reader())
modeld_logs = [msg for msg in modeld_logs if msg.which() != 'liveCalibration']
dmodeld_logs = [msg for msg in dmodeld_logs if msg.which() != 'liveCalibration']
# initial setup
for s in ('liveCalibration', 'deviceState'):
msg = next(msg for msg in lr if msg.which() == s).as_builder()
msg.logMonoTime = lr[0].logMonoTime
modeld_logs.insert(1, msg.as_reader())
dmodeld_logs.insert(1, msg.as_reader())
modeld = get_process_config("modeld")
dmonitoringmodeld = get_process_config("dmonitoringmodeld")
@ -218,6 +221,7 @@ if __name__ == "__main__":
results[TEST_ROUTE]["models"] = compare_logs(cmp_log, log_msgs, tolerance=tolerance, ignore_fields=ignore)
diff_short, diff_long, failed = format_diff(results, log_paths, ref_commit)
if "CI" in os.environ:
print(diff_long)
print('-------------\n'*5)
print(diff_short)

@ -546,7 +546,7 @@ CONFIGS = [
),
ProcessConfig(
proc_name="modeld",
pubs=["roadCameraState", "wideRoadCameraState", "liveCalibration", "driverMonitoringState"],
pubs=["deviceState", "roadCameraState", "wideRoadCameraState", "liveCalibration", "driverMonitoringState"],
subs=["modelV2", "cameraOdometry"],
ignore=["logMonoTime", "modelV2.frameDropPerc", "modelV2.modelExecutionTime"],
should_recv_callback=ModeldCameraSyncRcvCallback(),

@ -1 +1 @@
653f68e6be4689dc9dce1a93cb726d37b9c588d3
fba62008efd13fb578de325f0cdb0a87fe5e28f0

@ -10,7 +10,7 @@ from collections.abc import Iterable
from openpilot.selfdrive.test.process_replay.process_replay import CONFIGS, FAKEDATA, ProcessConfig, replay_process, get_process_config, \
check_openpilot_enabled, get_custom_params_from_lr
from openpilot.selfdrive.test.process_replay.vision_meta import DRIVER_FRAME_SIZES
from openpilot.selfdrive.test.process_replay.vision_meta import DRIVER_CAMERA_FRAME_SIZES
from openpilot.selfdrive.test.update_ci_routes import upload_route
from openpilot.tools.lib.route import Route
from openpilot.tools.lib.framereader import FrameReader, BaseFrameReader, FrameType
@ -37,7 +37,7 @@ class DummyFrameReader(BaseFrameReader):
@staticmethod
def zero_dcamera():
return DummyFrameReader(*DRIVER_FRAME_SIZES["tici"], 1200, 0)
return DummyFrameReader(*DRIVER_CAMERA_FRAME_SIZES[("tici", "ar0231")], 1200, 0)
def regen_segment(

@ -1,17 +1,17 @@
from collections import namedtuple
from cereal.visionipc import VisionStreamType
from openpilot.common.realtime import DT_MDL, DT_DMON
from openpilot.common.transformations.camera import tici_f_frame_size, tici_d_frame_size, tici_e_frame_size, eon_f_frame_size, eon_d_frame_size
from openpilot.common.transformations.camera import DEVICE_CAMERAS
VideoStreamMeta = namedtuple("VideoStreamMeta", ["camera_state", "encode_index", "stream", "dt", "frame_sizes"])
ROAD_CAMERA_FRAME_SIZES = {"tici": tici_f_frame_size, "tizi": tici_f_frame_size, "neo": eon_f_frame_size}
WIDE_ROAD_CAMERA_FRAME_SIZES = {"tici": tici_e_frame_size, "tizi": tici_e_frame_size}
DRIVER_FRAME_SIZES = {"tici": tici_d_frame_size, "tizi": tici_d_frame_size, "neo": eon_d_frame_size}
ROAD_CAMERA_FRAME_SIZES = {k: (v.dcam.width, v.dcam.height) for k, v in DEVICE_CAMERAS.items()}
WIDE_ROAD_CAMERA_FRAME_SIZES = {k: (v.ecam.width, v.ecam.height) for k, v in DEVICE_CAMERAS.items() if v.ecam is not None}
DRIVER_CAMERA_FRAME_SIZES = {k: (v.dcam.width, v.dcam.height) for k, v in DEVICE_CAMERAS.items()}
VIPC_STREAM_METADATA = [
# metadata: (state_msg_type, encode_msg_type, stream_type, dt, frame_sizes)
("roadCameraState", "roadEncodeIdx", VisionStreamType.VISION_STREAM_ROAD, DT_MDL, ROAD_CAMERA_FRAME_SIZES),
("wideRoadCameraState", "wideRoadEncodeIdx", VisionStreamType.VISION_STREAM_WIDE_ROAD, DT_MDL, WIDE_ROAD_CAMERA_FRAME_SIZES),
("driverCameraState", "driverEncodeIdx", VisionStreamType.VISION_STREAM_DRIVER, DT_DMON, DRIVER_FRAME_SIZES),
("driverCameraState", "driverEncodeIdx", VisionStreamType.VISION_STREAM_DRIVER, DT_DMON, DRIVER_CAMERA_FRAME_SIZES),
]

@ -216,6 +216,7 @@ def thermald_thread(end_event, hw_queue) -> None:
peripheral_panda_present = peripheralState.pandaType != log.PandaState.PandaType.unknown
msg = read_thermal(thermal_config)
msg.deviceState.deviceType = HARDWARE.get_device_type()
if sm.updated['pandaStates'] and len(pandaStates) > 0:

@ -82,11 +82,11 @@ void Networking::connectToNetwork(const Network n) {
if (wifi->isKnownConnection(n.ssid)) {
wifi->activateWifiConnection(n.ssid);
} else if (n.security_type == SecurityType::OPEN) {
wifi->connect(n);
wifi->connect(n, false);
} else if (n.security_type == SecurityType::WPA) {
QString pass = InputDialog::getText(tr("Enter password"), this, tr("for \"%1\"").arg(QString::fromUtf8(n.ssid)), true, 8);
if (!pass.isEmpty()) {
wifi->connect(n, pass);
wifi->connect(n, false, pass);
}
}
}
@ -96,7 +96,7 @@ void Networking::wrongPassword(const QString &ssid) {
const Network &n = wifi->seenNetworks.value(ssid);
QString pass = InputDialog::getText(tr("Wrong password"), this, tr("for \"%1\"").arg(QString::fromUtf8(n.ssid)), true, 8);
if (!pass.isEmpty()) {
wifi->connect(n, pass);
wifi->connect(n, false, pass);
}
}
}
@ -192,9 +192,9 @@ AdvancedNetworking::AdvancedNetworking(QWidget* parent, WifiManager* wifi): QWid
hidden_network.ssid = ssid.toUtf8();
if (!pass.isEmpty()) {
hidden_network.security_type = SecurityType::WPA;
wifi->connect(hidden_network, pass);
wifi->connect(hidden_network, true, pass);
} else {
wifi->connect(hidden_network);
wifi->connect(hidden_network, true);
}
emit requestWifiScreen();
}

@ -166,7 +166,7 @@ SecurityType WifiManager::getSecurityType(const QVariantMap &properties) {
}
}
void WifiManager::connect(const Network &n, const QString &password, const QString &username) {
void WifiManager::connect(const Network &n, const bool is_hidden, const QString &password, const QString &username) {
setCurrentConnecting(n.ssid);
forgetConnection(n.ssid); // Clear all connections that may already exist to the network we are connecting
Connection connection;
@ -176,6 +176,7 @@ void WifiManager::connect(const Network &n, const QString &password, const QStri
connection["connection"]["autoconnect-retries"] = 0;
connection["802-11-wireless"]["ssid"] = n.ssid;
connection["802-11-wireless"]["hidden"] = is_hidden;
connection["802-11-wireless"]["mode"] = "infrastructure";
if (n.security_type == SecurityType::WPA) {

@ -52,7 +52,7 @@ public:
std::optional<QDBusPendingCall> activateWifiConnection(const QString &ssid);
NetworkType currentNetworkType();
void updateGsmSettings(bool roaming, QString apn, bool metered);
void connect(const Network &ssid, const QString &password = {}, const QString &username = {});
void connect(const Network &ssid, const bool is_hidden = false, const QString &password = {}, const QString &username = {});
// Tethering functions
void setTetheringEnabled(bool enabled);

@ -18,7 +18,7 @@ from cereal.messaging import SubMaster, PubMaster
from openpilot.common.mock import mock_messages
from openpilot.common.params import Params
from openpilot.common.realtime import DT_MDL
from openpilot.common.transformations.camera import tici_f_frame_size
from openpilot.common.transformations.camera import DEVICE_CAMERAS
from openpilot.selfdrive.test.helpers import with_processes
from openpilot.selfdrive.test.process_replay.vision_meta import meta_from_camera_state
from openpilot.tools.webcam.camera import Camera
@ -69,15 +69,16 @@ def setup_onroad(click, pm: PubMaster):
pm.send("pandaStates", dat)
d = DEVICE_CAMERAS[("tici", "ar0231")]
server = VisionIpcServer("camerad")
server.create_buffers(VisionStreamType.VISION_STREAM_ROAD, 40, False, *tici_f_frame_size)
server.create_buffers(VisionStreamType.VISION_STREAM_DRIVER, 40, False, *tici_f_frame_size)
server.create_buffers(VisionStreamType.VISION_STREAM_WIDE_ROAD, 40, False, *tici_f_frame_size)
server.create_buffers(VisionStreamType.VISION_STREAM_ROAD, 40, False, d.fcam.width, d.fcam.height)
server.create_buffers(VisionStreamType.VISION_STREAM_DRIVER, 40, False, d.dcam.width, d.dcam.height)
server.create_buffers(VisionStreamType.VISION_STREAM_WIDE_ROAD, 40, False, d.fcam.width, d.fcam.height)
server.start_listener()
time.sleep(0.5) # give time for vipc server to start
IMG = Camera.bgr2nv12(np.random.randint(0, 255, (*tici_f_frame_size,3), dtype=np.uint8))
IMG = Camera.bgr2nv12(np.random.randint(0, 255, (d.fcam.width, d.fcam.height, 3), dtype=np.uint8))
IMG_BYTES = IMG.flatten().tobytes()
cams = ('roadCameraState', 'wideRoadCameraState')

@ -32,6 +32,10 @@ def update_release(directory, name, version, agnos_version, release_notes):
with open(directory / "launch_env.sh", "w") as f:
f.write(f'export AGNOS_VERSION="{agnos_version}"')
test_symlink = directory / "test_symlink"
if not os.path.exists(str(test_symlink)):
os.symlink("common/version.h", test_symlink)
@pytest.mark.slow # TODO: can we test overlayfs in GHA?
class BaseUpdateTest(unittest.TestCase):
@ -111,6 +115,9 @@ class BaseUpdateTest(unittest.TestCase):
self.assertEqual(get_version(str(self.staging_root / "finalized")), version)
self.assertEqual(get_consistent_flag(), True)
with open(self.staging_root / "finalized" / "test_symlink") as f:
self.assertIn(version, f.read())
def wait_for_condition(self, condition, timeout=12):
start = time.monotonic()
while True:

@ -24,7 +24,7 @@ from openpilot.system.version import get_version
from openpilot.tools.lib.helpers import RE
from openpilot.tools.lib.logreader import LogReader
from cereal.visionipc import VisionIpcServer, VisionStreamType
from openpilot.common.transformations.camera import tici_f_frame_size, tici_d_frame_size, tici_e_frame_size
from openpilot.common.transformations.camera import DEVICE_CAMERAS
SentinelType = log.Sentinel.SentinelType
@ -142,10 +142,11 @@ class TestLoggerd:
os.environ["LOGGERD_TEST"] = "1"
Params().put("RecordFront", "1")
d = DEVICE_CAMERAS[("tici", "ar0231")]
expected_files = {"rlog", "qlog", "qcamera.ts", "fcamera.hevc", "dcamera.hevc", "ecamera.hevc"}
streams = [(VisionStreamType.VISION_STREAM_ROAD, (*tici_f_frame_size, 2048*2346, 2048, 2048*1216), "roadCameraState"),
(VisionStreamType.VISION_STREAM_DRIVER, (*tici_d_frame_size, 2048*2346, 2048, 2048*1216), "driverCameraState"),
(VisionStreamType.VISION_STREAM_WIDE_ROAD, (*tici_e_frame_size, 2048*2346, 2048, 2048*1216), "wideRoadCameraState")]
streams = [(VisionStreamType.VISION_STREAM_ROAD, (d.fcam.width, d.fcam.height, 2048*2346, 2048, 2048*1216), "roadCameraState"),
(VisionStreamType.VISION_STREAM_DRIVER, (d.dcam.width, d.dcam.height, 2048*2346, 2048, 2048*1216), "driverCameraState"),
(VisionStreamType.VISION_STREAM_WIDE_ROAD, (d.ecam.width, d.ecam.height, 2048*2346, 2048, 2048*1216), "wideRoadCameraState")]
pm = messaging.PubMaster(["roadCameraState", "driverCameraState", "wideRoadCameraState"])
vipc_server = VisionIpcServer("camerad")

@ -7,9 +7,7 @@ import pygame
from matplotlib.backends.backend_agg import FigureCanvasAgg
from openpilot.common.transformations.camera import (eon_f_frame_size, eon_f_focal_length,
tici_f_frame_size, tici_f_focal_length,
get_view_frame_from_calib_frame)
from openpilot.common.transformations.camera import get_view_frame_from_calib_frame
from openpilot.selfdrive.controls.radard import RADAR_TO_CAMERA
@ -20,9 +18,6 @@ YELLOW = (255, 255, 0)
BLACK = (0, 0, 0)
WHITE = (255, 255, 255)
_FULL_FRAME_SIZE = {
}
class UIParams:
lidar_x, lidar_y, lidar_zoom = 384, 960, 6
lidar_car_x, lidar_car_y = lidar_x / 2., lidar_y / 1.1
@ -32,45 +27,13 @@ class UIParams:
car_color = 110
UP = UIParams
_BB_TO_FULL_FRAME = {}
_CALIB_BB_TO_FULL = {}
_FULL_FRAME_TO_BB = {}
_INTRINSICS = {}
eon_f_qcam_frame_size = (480, 360)
tici_f_qcam_frame_size = (528, 330)
cams = [(eon_f_frame_size, eon_f_focal_length, eon_f_frame_size),
(tici_f_frame_size, tici_f_focal_length, tici_f_frame_size),
(eon_f_qcam_frame_size, eon_f_focal_length, eon_f_frame_size),
(tici_f_qcam_frame_size, tici_f_focal_length, tici_f_frame_size)]
for size, focal, full_size in cams:
sz = size[0] * size[1]
_BB_SCALE = size[0] / 640.
_BB_TO_FULL_FRAME[sz] = np.asarray([
[_BB_SCALE, 0., 0.],
[0., _BB_SCALE, 0.],
[0., 0., 1.]])
calib_scale = full_size[0] / 640.
_CALIB_BB_TO_FULL[sz] = np.asarray([
[calib_scale, 0., 0.],
[0., calib_scale, 0.],
[0., 0., 1.]])
_FULL_FRAME_TO_BB[sz] = np.linalg.inv(_BB_TO_FULL_FRAME[sz])
_FULL_FRAME_SIZE[sz] = (size[0], size[1])
_INTRINSICS[sz] = np.array([
[focal, 0., full_size[0] / 2.],
[0., focal, full_size[1] / 2.],
[0., 0., 1.]])
METER_WIDTH = 20
class Calibration:
def __init__(self, num_px, rpy, intrinsic):
def __init__(self, num_px, rpy, intrinsic, calib_scale):
self.intrinsic = intrinsic
self.extrinsics_matrix = get_view_frame_from_calib_frame(rpy[0], rpy[1], rpy[2], 0.0)[:,:3]
self.zoom = _CALIB_BB_TO_FULL[num_px][0, 0]
self.zoom = calib_scale
def car_space_to_ff(self, x, y, z):
car_space_projective = np.column_stack((x, y, z)).T

@ -10,8 +10,9 @@ import pygame
import cereal.messaging as messaging
from openpilot.common.numpy_fast import clip
from openpilot.common.basedir import BASEDIR
from openpilot.tools.replay.lib.ui_helpers import (_BB_TO_FULL_FRAME, UP,
_INTRINSICS, BLACK, GREEN,
from openpilot.common.transformations.camera import DEVICE_CAMERAS
from openpilot.tools.replay.lib.ui_helpers import (UP,
BLACK, GREEN,
YELLOW, Calibration,
get_blank_lid_overlay, init_plots,
maybe_update_radar_points, plot_lead,
@ -55,7 +56,7 @@ def ui_thread(addr):
top_down_surface = pygame.surface.Surface((UP.lidar_x, UP.lidar_y), 0, 8)
sm = messaging.SubMaster(['carState', 'longitudinalPlan', 'carControl', 'radarState', 'liveCalibration', 'controlsState',
'liveTracks', 'modelV2', 'liveParameters'], addr=addr)
'liveTracks', 'modelV2', 'liveParameters', 'roadCameraState'], addr=addr)
img = np.zeros((480, 640, 3), dtype='uint8')
imgff = None
@ -112,20 +113,27 @@ def ui_thread(addr):
vipc_client.connect(True)
yuv_img_raw = vipc_client.recv()
if yuv_img_raw is None or not yuv_img_raw.data.any():
continue
sm.update(0)
camera = DEVICE_CAMERAS[("three", str(sm['roadCameraState'].sensor))]
imgff = np.frombuffer(yuv_img_raw.data, dtype=np.uint8).reshape((len(yuv_img_raw.data) // vipc_client.stride, vipc_client.stride))
num_px = vipc_client.width * vipc_client.height
rgb = cv2.cvtColor(imgff[:vipc_client.height * 3 // 2, :vipc_client.width], cv2.COLOR_YUV2RGB_NV12)
zoom_matrix = _BB_TO_FULL_FRAME[num_px]
qcam = "QCAM" in os.environ
bb_scale = (528 if qcam else camera.fcam.width) / 640.
calib_scale = camera.fcam.width / 640.
zoom_matrix = np.asarray([
[bb_scale, 0., 0.],
[0., bb_scale, 0.],
[0., 0., 1.]])
cv2.warpAffine(rgb, zoom_matrix[:2], (img.shape[1], img.shape[0]), dst=img, flags=cv2.WARP_INVERSE_MAP)
intrinsic_matrix = _INTRINSICS[num_px]
sm.update(0)
intrinsic_matrix = camera.fcam.intrinsics
w = sm['controlsState'].lateralControlState.which()
if w == 'lqrStateDEPRECATED':
@ -165,7 +173,7 @@ def ui_thread(addr):
if sm.updated['liveCalibration'] and num_px:
rpyCalib = np.asarray(sm['liveCalibration'].rpyCalib)
calibration = Calibration(num_px, rpyCalib, intrinsic_matrix)
calibration = Calibration(num_px, rpyCalib, intrinsic_matrix, calib_scale)
# *** blits ***
pygame.surfarray.blit_array(camera_surface, img.swapaxes(0, 1))

@ -75,6 +75,7 @@ class MetaDriveBridge(SimulatorBridge):
on_continuous_line_done=False,
crash_vehicle_done=False,
crash_object_done=False,
arrive_dest_done=False,
traffic_density=0.0, # traffic is incredibly expensive
map_config=create_map(),
decision_repeat=1,

@ -22,7 +22,7 @@ C3_HPR = Vec3(0, 0,0)
metadrive_simulation_state = namedtuple("metadrive_simulation_state", ["running", "done", "done_info"])
metadrive_vehicle_state = namedtuple("metadrive_vehicle_state", ["velocity", "position", "bearing", "steering_angle"])
def apply_metadrive_patches():
def apply_metadrive_patches(arrive_dest_done=True):
# By default, metadrive won't try to use cuda images unless it's used as a sensor for vehicles, so patch that in
def add_image_sensor_patched(self, name: str, cls, args):
if self.global_config["image_on_cuda"]:# and name == self.global_config["vehicle_config"]["image_source"]:
@ -44,12 +44,14 @@ def apply_metadrive_patches():
def arrive_destination_patch(self, *args, **kwargs):
return False
if not arrive_dest_done:
MetaDriveEnv._is_arrive_destination = arrive_destination_patch
def metadrive_process(dual_camera: bool, config: dict, camera_array, wide_camera_array, image_lock,
controls_recv: Connection, simulation_state_send: Connection, vehicle_state_send: Connection,
exit_event):
apply_metadrive_patches()
arrive_dest_done = config.pop("arrive_dest_done", True)
apply_metadrive_patches(arrive_dest_done)
road_image = np.frombuffer(camera_array.get_obj(), dtype=np.uint8).reshape((H, W, 3))
if dual_camera:

@ -65,6 +65,7 @@ class MetaDriveBridge(SimulatorBridge):
on_continuous_line_done=True,
crash_vehicle_done=True,
crash_object_done=True,
arrive_dest_done=True,
traffic_density=0.0,
map_config=create_map(),
map_region_size=2048,

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