openpilot v0.9.7 release

date: 2024-06-11T01:36:39
master commit: f8cb04e4a8
This commit is contained in:
Vehicle Researcher
2024-06-11 01:36:40 +00:00
parent fa724893fb
commit d64fb1838d
1014 changed files with 40763 additions and 16667 deletions
+1 -1
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@@ -7,7 +7,7 @@ from openpilot.system.version import get_version
API_HOST = os.getenv('API_HOST', 'https://api.commadotai.com')
class Api():
class Api:
def __init__(self, dongle_id):
self.dongle_id = dongle_id
with open(Paths.persist_root()+'/comma/id_rsa') as f:
+1 -2
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@@ -1,7 +1,6 @@
import os
import tempfile
import contextlib
from typing import Optional
class CallbackReader:
@@ -24,7 +23,7 @@ class CallbackReader:
@contextlib.contextmanager
def atomic_write_in_dir(path: str, mode: str = 'w', buffering: int = -1, encoding: Optional[str] = None, newline: Optional[str] = None,
def atomic_write_in_dir(path: str, mode: str = 'w', buffering: int = -1, encoding: str = None, newline: str = None,
overwrite: bool = False):
"""Write to a file atomically using a temporary file in the same directory as the destination file."""
dir_name = os.path.dirname(path)
+42
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@@ -0,0 +1,42 @@
from functools import cache
import subprocess
from openpilot.common.run import run_cmd, run_cmd_default
@cache
def get_commit(cwd: str = None, branch: str = "HEAD") -> str:
return run_cmd_default(["git", "rev-parse", branch], cwd=cwd)
@cache
def get_commit_date(cwd: str = None, commit: str = "HEAD") -> str:
return run_cmd_default(["git", "show", "--no-patch", "--format='%ct %ci'", commit], cwd=cwd)
@cache
def get_short_branch(cwd: str = None) -> str:
return run_cmd_default(["git", "rev-parse", "--abbrev-ref", "HEAD"], cwd=cwd)
@cache
def get_branch(cwd: str = None) -> str:
return run_cmd_default(["git", "rev-parse", "--abbrev-ref", "--symbolic-full-name", "@{u}"], cwd=cwd)
@cache
def get_origin(cwd: str = None) -> str:
try:
local_branch = run_cmd(["git", "name-rev", "--name-only", "HEAD"], cwd=cwd)
tracking_remote = run_cmd(["git", "config", "branch." + local_branch + ".remote"], cwd=cwd)
return run_cmd(["git", "config", "remote." + tracking_remote + ".url"], cwd=cwd)
except subprocess.CalledProcessError: # Not on a branch, fallback
return run_cmd_default(["git", "config", "--get", "remote.origin.url"], cwd=cwd)
@cache
def get_normalized_origin(cwd: str = None) -> str:
return get_origin(cwd) \
.replace("git@", "", 1) \
.replace(".git", "", 1) \
.replace("https://", "", 1) \
.replace(":", "/", 1)
+5 -6
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@@ -1,6 +1,5 @@
import os
from functools import lru_cache
from typing import Optional, List
from functools import cache
def gpio_init(pin: int, output: bool) -> None:
try:
@@ -16,7 +15,7 @@ def gpio_set(pin: int, high: bool) -> None:
except Exception as e:
print(f"Failed to set gpio {pin} value: {e}")
def gpio_read(pin: int) -> Optional[bool]:
def gpio_read(pin: int) -> bool | None:
val = None
try:
with open(f"/sys/class/gpio/gpio{pin}/value", 'rb') as f:
@@ -36,8 +35,8 @@ def gpio_export(pin: int) -> None:
except Exception:
print(f"Failed to export gpio {pin}")
@lru_cache(maxsize=None)
def get_irq_action(irq: int) -> List[str]:
@cache
def get_irq_action(irq: int) -> list[str]:
try:
with open(f"/sys/kernel/irq/{irq}/actions") as f:
actions = f.read().strip().split(',')
@@ -45,7 +44,7 @@ def get_irq_action(irq: int) -> List[str]:
except FileNotFoundError:
return []
def get_irqs_for_action(action: str) -> List[str]:
def get_irqs_for_action(action: str) -> list[str]:
ret = []
with open("/proc/interrupts") as f:
for l in f.readlines():
+45
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@@ -0,0 +1,45 @@
HTML_REPLACEMENTS = [
(r'&', r'&'),
(r'"', r'"'),
]
def parse_markdown(text: str, tab_length: int = 2) -> str:
lines = text.split("\n")
output: list[str] = []
list_level = 0
def end_outstanding_lists(level: int, end_level: int) -> int:
while level > end_level:
level -= 1
output.append("</ul>")
if level > 0:
output.append("</li>")
return end_level
for i, line in enumerate(lines):
if i + 1 < len(lines) and lines[i + 1].startswith("==="): # heading
output.append(f"<h1>{line}</h1>")
elif line.startswith("==="):
pass
elif line.lstrip().startswith("* "): # list
line_level = 1 + line.count(" " * tab_length, 0, line.index("*"))
if list_level >= line_level:
list_level = end_outstanding_lists(list_level, line_level)
else:
list_level += 1
if list_level > 1:
output[-1] = output[-1].replace("</li>", "")
output.append("<ul>")
output.append(f"<li>{line.replace('*', '', 1).lstrip()}</li>")
else:
list_level = end_outstanding_lists(list_level, 0)
if len(line) > 0:
output.append(line)
end_outstanding_lists(list_level, 0)
output_str = "\n".join(output) + "\n"
for (fr, to) in HTML_REPLACEMENTS:
output_str = output_str.replace(fr, to)
return output_str
+50
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@@ -0,0 +1,50 @@
"""
Utilities for generating mock messages for testing.
example in common/tests/test_mock.py
"""
import functools
import threading
from cereal.messaging import PubMaster
from cereal.services import SERVICE_LIST
from openpilot.common.mock.generators import generate_liveLocationKalman
from openpilot.common.realtime import Ratekeeper
MOCK_GENERATOR = {
"liveLocationKalman": generate_liveLocationKalman
}
def generate_messages_loop(services: list[str], done: threading.Event):
pm = PubMaster(services)
rk = Ratekeeper(100)
i = 0
while not done.is_set():
for s in services:
should_send = i % (100/SERVICE_LIST[s].frequency) == 0
if should_send:
message = MOCK_GENERATOR[s]()
pm.send(s, message)
i += 1
rk.keep_time()
def mock_messages(services: list[str] | str):
if isinstance(services, str):
services = [services]
def decorator(func):
@functools.wraps(func)
def wrapper(*args, **kwargs):
done = threading.Event()
t = threading.Thread(target=generate_messages_loop, args=(services, done))
t.start()
try:
return func(*args, **kwargs)
finally:
done.set()
t.join()
return wrapper
return decorator
+20
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@@ -0,0 +1,20 @@
from cereal import messaging
LOCATION1 = (32.7174, -117.16277)
LOCATION2 = (32.7558, -117.2037)
LLK_DECIMATION = 10
RENDER_FRAMES = 15
DEFAULT_ITERATIONS = RENDER_FRAMES * LLK_DECIMATION
def generate_liveLocationKalman(location=LOCATION1):
msg = messaging.new_message('liveLocationKalman')
msg.liveLocationKalman.positionGeodetic = {'value': [*location, 0], 'std': [0., 0., 0.], 'valid': True}
msg.liveLocationKalman.positionECEF = {'value': [0., 0., 0.], 'std': [0., 0., 0.], 'valid': True}
msg.liveLocationKalman.calibratedOrientationNED = {'value': [0., 0., 0.], 'std': [0., 0., 0.], 'valid': True}
msg.liveLocationKalman.velocityCalibrated = {'value': [0., 0., 0.], 'std': [0., 0., 0.], 'valid': True}
msg.liveLocationKalman.status = 'valid'
msg.liveLocationKalman.gpsOK = True
return msg
+5 -3
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@@ -89,6 +89,7 @@ private:
std::unordered_map<std::string, uint32_t> keys = {
{"AccessToken", CLEAR_ON_MANAGER_START | DONT_LOG},
{"AlwaysOnDM", PERSISTENT},
{"ApiCache_Device", PERSISTENT},
{"ApiCache_NavDestinations", PERSISTENT},
{"AssistNowToken", PERSISTENT},
@@ -171,7 +172,6 @@ std::unordered_map<std::string, uint32_t> keys = {
{"Offroad_CarUnrecognized", CLEAR_ON_MANAGER_START | CLEAR_ON_ONROAD_TRANSITION},
{"Offroad_ConnectivityNeeded", CLEAR_ON_MANAGER_START},
{"Offroad_ConnectivityNeededPrompt", CLEAR_ON_MANAGER_START},
{"Offroad_InvalidTime", CLEAR_ON_MANAGER_START},
{"Offroad_IsTakingSnapshot", CLEAR_ON_MANAGER_START},
{"Offroad_NeosUpdate", CLEAR_ON_MANAGER_START},
{"Offroad_NoFirmware", CLEAR_ON_MANAGER_START | CLEAR_ON_ONROAD_TRANSITION},
@@ -188,6 +188,7 @@ std::unordered_map<std::string, uint32_t> keys = {
{"RecordFront", PERSISTENT},
{"RecordFrontLock", PERSISTENT}, // for the internal fleet
{"ReplayControlsState", CLEAR_ON_MANAGER_START | CLEAR_ON_ONROAD_TRANSITION},
{"RouteCount", PERSISTENT},
{"SnoozeUpdate", CLEAR_ON_MANAGER_START | CLEAR_ON_OFFROAD_TRANSITION},
{"SshEnabled", PERSISTENT},
{"TermsVersion", PERSISTENT},
@@ -206,7 +207,6 @@ std::unordered_map<std::string, uint32_t> keys = {
{"UpdaterTargetBranch", CLEAR_ON_MANAGER_START},
{"UpdaterLastFetchTime", PERSISTENT},
{"Version", PERSISTENT},
{"VisionRadarToggle", PERSISTENT},
};
} // namespace
@@ -273,7 +273,9 @@ int Params::put(const char* key, const char* value, size_t value_size) {
} while (false);
close(tmp_fd);
::unlink(tmp_path.c_str());
if (result != 0) {
::unlink(tmp_path.c_str());
}
return result;
}
+5
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@@ -5,6 +5,7 @@
#include "common/params.h"
#include "common/util.h"
#include "system/hardware/hw.h"
class OpenpilotPrefix {
public:
@@ -25,6 +26,10 @@ public:
system(util::string_format("rm %s -rf", real_path.c_str()).c_str());
unlink(param_path.c_str());
}
if (getenv("COMMA_CACHE") == nullptr) {
system(util::string_format("rm %s -rf", Path::download_cache_root().c_str()).c_str());
}
system(util::string_format("rm %s -rf", Path::comma_home().c_str()).c_str());
system(util::string_format("rm %s -rf", msgq_path.c_str()).c_str());
unsetenv("OPENPILOT_PREFIX");
}
+4 -3
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@@ -2,14 +2,14 @@ import os
import shutil
import uuid
from typing import Optional
from openpilot.common.params import Params
from openpilot.system.hardware import PC
from openpilot.system.hardware.hw import Paths
from openpilot.system.hardware.hw import DEFAULT_DOWNLOAD_CACHE_ROOT
class OpenpilotPrefix:
def __init__(self, prefix: Optional[str] = None, clean_dirs_on_exit: bool = True, shared_download_cache: bool = False):
def __init__(self, prefix: str = None, clean_dirs_on_exit: bool = True, shared_download_cache: bool = False):
self.prefix = prefix if prefix else str(uuid.uuid4().hex[0:15])
self.msgq_path = os.path.join('/dev/shm', self.prefix)
self.clean_dirs_on_exit = clean_dirs_on_exit
@@ -46,7 +46,8 @@ class OpenpilotPrefix:
shutil.rmtree(os.path.realpath(symlink_path), ignore_errors=True)
os.remove(symlink_path)
shutil.rmtree(self.msgq_path, ignore_errors=True)
shutil.rmtree(Paths.log_root(), ignore_errors=True)
if PC:
shutil.rmtree(Paths.log_root(), ignore_errors=True)
if not os.environ.get("COMMA_CACHE", False):
shutil.rmtree(Paths.download_cache_root(), ignore_errors=True)
shutil.rmtree(Paths.comma_home(), ignore_errors=True)
+1 -1
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@@ -9,7 +9,7 @@ public:
~RateKeeper() {}
bool keepTime();
bool monitorTime();
inline double frame() const { return frame_; }
inline uint64_t frame() const { return frame_; }
inline double remaining() const { return remaining_; }
private:
+5 -6
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@@ -3,7 +3,6 @@ import gc
import os
import time
from collections import deque
from typing import Optional, List, Union
from setproctitle import getproctitle
@@ -13,7 +12,7 @@ from openpilot.system.hardware import PC
# time step for each process
DT_CTRL = 0.01 # controlsd
DT_MDL = 0.05 # model
DT_TRML = 0.5 # thermald and manager
DT_HW = 0.5 # hardwared and manager
DT_DMON = 0.05 # driver monitoring
@@ -24,7 +23,7 @@ class Priority:
CTRL_LOW = 51 # plannerd & radard
# CORE 3
# - boardd = 55
# - pandad = 55
CTRL_HIGH = 53
@@ -33,12 +32,12 @@ def set_realtime_priority(level: int) -> None:
os.sched_setscheduler(0, os.SCHED_FIFO, os.sched_param(level))
def set_core_affinity(cores: List[int]) -> None:
def set_core_affinity(cores: list[int]) -> None:
if not PC:
os.sched_setaffinity(0, cores)
def config_realtime_process(cores: Union[int, List[int]], priority: int) -> None:
def config_realtime_process(cores: int | list[int], priority: int) -> None:
gc.disable()
set_realtime_priority(priority)
c = cores if isinstance(cores, list) else [cores, ]
@@ -46,7 +45,7 @@ def config_realtime_process(cores: Union[int, List[int]], priority: int) -> None
class Ratekeeper:
def __init__(self, rate: float, print_delay_threshold: Optional[float] = 0.0) -> None:
def __init__(self, rate: float, print_delay_threshold: float | None = 0.0) -> None:
"""Rate in Hz for ratekeeping. print_delay_threshold must be nonnegative."""
self._interval = 1. / rate
self._next_frame_time = time.monotonic() + self._interval
+13
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@@ -0,0 +1,13 @@
import subprocess
def run_cmd(cmd: list[str], cwd=None, env=None) -> str:
return subprocess.check_output(cmd, encoding='utf8', cwd=cwd, env=env).strip()
def run_cmd_default(cmd: list[str], default: str = "", cwd=None, env=None) -> str:
try:
return run_cmd(cmd, cwd=cwd, env=env)
except subprocess.CalledProcessError:
return default
+1 -1
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@@ -3,7 +3,7 @@ import subprocess
from openpilot.common.basedir import BASEDIR
class Spinner():
class Spinner:
def __init__(self):
try:
self.spinner_proc = subprocess.Popen(["./spinner"],
+2 -2
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@@ -1,6 +1,6 @@
import numpy as np
class RunningStat():
class RunningStat:
# tracks realtime mean and standard deviation without storing any data
def __init__(self, priors=None, max_trackable=-1):
self.max_trackable = max_trackable
@@ -51,7 +51,7 @@ class RunningStat():
def params_to_save(self):
return [self.M, self.S, self.n]
class RunningStatFilter():
class RunningStatFilter:
def __init__(self, raw_priors=None, filtered_priors=None, max_trackable=-1):
self.raw_stat = RunningStat(raw_priors, -1)
self.filtered_stat = RunningStat(filtered_priors, max_trackable)
+11 -2
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@@ -1,6 +1,15 @@
import datetime
from pathlib import Path
MIN_DATE = datetime.datetime(year=2024, month=1, day=28)
_MIN_DATE = datetime.datetime(year=2024, month=3, day=30)
def min_date():
# on systemd systems, the default time is the systemd build time
systemd_path = Path("/lib/systemd/systemd")
if systemd_path.exists():
d = datetime.datetime.fromtimestamp(systemd_path.stat().st_mtime)
return d + datetime.timedelta(days=1)
return _MIN_DATE
def system_time_valid():
return datetime.datetime.now() > MIN_DATE
return datetime.datetime.now() > min_date()
+2
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@@ -0,0 +1,2 @@
transformations
transformations.cpp
+70
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@@ -0,0 +1,70 @@
Reference Frames
------
Many reference frames are used throughout. This
folder contains all helper functions needed to
transform between them. Generally this is done
by generating a rotation matrix and multiplying.
| Name | [x, y, z] | Units | Notes |
| :-------------: |:-------------:| :-----:| :----: |
| Geodetic | [Latitude, Longitude, Altitude] | geodetic coordinates | Sometimes used as [lon, lat, alt], avoid this frame. |
| ECEF | [x, y, z] | meters | We use **ITRF14 (IGS14)**, NOT NAD83. <br> This is the global Mesh3D frame. |
| NED | [North, East, Down] | meters | Relative to earth's surface, useful for visualizing. |
| Device | [Forward, Right, Down] | meters | This is the Mesh3D local frame. <br> Relative to camera, **not imu.** <br> ![img](http://upload.wikimedia.org/wikipedia/commons/thumb/2/2f/RPY_angles_of_airplanes.png/440px-RPY_angles_of_airplanes.png)|
| Calibrated | [Forward, Right, Down] | meters | This is the frame the model outputs are in. <br> More details below. <br>|
| Car | [Forward, Right, Down] | meters | This is useful for estimating position of points on the road. <br> More details below. <br>|
| View | [Right, Down, Forward] | meters | Like device frame, but according to camera conventions. |
| Camera | [u, v, focal] | pixels | Like view frame, but 2d on the camera image.|
| Normalized Camera | [u / focal, v / focal, 1] | / | |
| Model | [u, v, focal] | pixels | The sampled rectangle of the full camera frame the model uses. |
| Normalized Model | [u / focal, v / focal, 1] | / | |
Orientation Conventions
------
Quaternions, rotation matrices and euler angles are three
equivalent representations of orientation and all three are
used throughout the code base.
For euler angles the preferred convention is [roll, pitch, yaw]
which corresponds to rotations around the [x, y, z] axes. All
euler angles should always be in radians or radians/s unless
for plotting or display purposes. For quaternions the hamilton
notations is preferred which is [q<sub>w</sub>, q<sub>x</sub>, q<sub>y</sub>, q<sub>z</sub>]. All quaternions
should always be normalized with a strictly positive q<sub>w</sub>. **These
quaternions are a unique representation of orientation whereas euler angles
or rotation matrices are not.**
To rotate from one frame into another with euler angles the
convention is to rotate around roll, then pitch and then yaw,
while rotating around the rotated axes, not the original axes.
Car frame
------
Device frame is aligned with the road-facing camera used by openpilot. However, when controlling the vehicle it is helpful to think in a reference frame aligned with the vehicle. These two reference frames can be different.
The orientation of car frame is defined to be aligned with the car's direction of travel and the road plane when the vehicle is driving on a flat road and not turning. The origin of car frame is defined to be directly below device frame (in car frame), such that it is on the road plane. The position and orientation of this frame is not necessarily always aligned with the direction of travel or the road plane due to suspension movements and other effects.
Calibrated frame
------
It is helpful for openpilot's driving model to take in images that look similar when mounted differently in different cars. To achieve this we "calibrate" the images by transforming it into calibrated frame. Calibrated frame is defined to be aligned with car frame in pitch and yaw, and aligned with device frame in roll. It also has the same origin as device frame.
Example
------
To transform global Mesh3D positions and orientations (positions_ecef, quats_ecef) into the local frame described by the
first position and orientation from Mesh3D one would do:
```
ecef_from_local = rot_from_quat(quats_ecef[0])
local_from_ecef = ecef_from_local.T
positions_local = np.einsum('ij,kj->ki', local_from_ecef, postions_ecef - positions_ecef[0])
rotations_global = rot_from_quat(quats_ecef)
rotations_local = np.einsum('ij,kjl->kil', local_from_ecef, rotations_global)
eulers_local = euler_from_rot(rotations_local)
```
+58 -39
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@@ -1,55 +1,74 @@
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
@dataclass(frozen=True)
class CameraConfig:
width: int
height: int
focal_length: float
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)
@property
def size(self):
return (self.width, self.height)
# 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
@property
def intrinsics(self):
# aka 'K' aka camera_frame_from_view_frame
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]
])
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]])
@property
def intrinsics_inv(self):
# aka 'K_inv' aka view_frame_from_camera_frame
return np.linalg.inv(self.intrinsics)
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]])
@dataclass(frozen=True)
class _NoneCameraConfig(CameraConfig):
width: int = 0
height: int = 0
focal_length: float = 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]])
@dataclass(frozen=True)
class DeviceCameraConfig:
fcam: CameraConfig
dcam: CameraConfig
ecam: CameraConfig
tici_ecam_intrinsics = tici_dcam_intrinsics
def all_cams(self):
for cam in ['fcam', 'dcam', 'ecam']:
if not isinstance(getattr(self, cam), _NoneCameraConfig):
yield cam, getattr(self, cam)
# 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
_ar_ox_fisheye = CameraConfig(1928, 1208, 567.0) # focal length probably wrong? magnification is not consistent across frame
_os_fisheye = CameraConfig(2688, 1520, 567.0 / 2 * 3)
_ar_ox_config = DeviceCameraConfig(CameraConfig(1928, 1208, 2648.0), _ar_ox_fisheye, _ar_ox_fisheye)
_os_config = DeviceCameraConfig(CameraConfig(2688, 1520, 2648.0 * 2 / 3), _os_fisheye, _os_fisheye)
_neo_config = DeviceCameraConfig(CameraConfig(1164, 874, 910.0), CameraConfig(816, 612, 650.0), _NoneCameraConfig())
tici_fcam_intrinsics_inv = np.linalg.inv(tici_fcam_intrinsics)
tici_ecam_intrinsics_inv = np.linalg.inv(tici_ecam_intrinsics)
DEVICE_CAMERAS = {
# A "device camera" is defined by a device type and sensor
# sensor type was never set on eon/neo/two
("neo", "unknown"): _neo_config,
# unknown here is AR0231, field was added with OX03C10 support
("tici", "unknown"): _ar_ox_config,
FULL_FRAME_SIZE = tici_f_frame_size
FOCAL = tici_f_focal_length
fcam_intrinsics = tici_fcam_intrinsics
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 +112,7 @@ 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 +125,7 @@ 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 +142,7 @@ 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))
+3 -18
View File
@@ -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
View File
@@ -1,5 +1,5 @@
import numpy as np
from typing import Callable
from collections.abc import Callable
from openpilot.common.transformations.transformations import (ecef_euler_from_ned_single,
euler2quat_single,
@@ -0,0 +1,104 @@
import numpy as np
import openpilot.common.transformations.coordinates as coord
geodetic_positions = np.array([[37.7610403, -122.4778699, 115],
[27.4840915, -68.5867592, 2380],
[32.4916858, -113.652821, -6],
[15.1392514, 103.6976037, 24],
[24.2302229, 44.2835412, 1650]])
ecef_positions = np.array([[-2711076.55270557, -4259167.14692758, 3884579.87669935],
[ 2068042.69652729, -5273435.40316622, 2927004.89190746],
[-2160412.60461669, -4932588.89873832, 3406542.29652851],
[-1458247.92550567, 5983060.87496612, 1654984.6099885 ],
[ 4167239.10867871, 4064301.90363223, 2602234.6065749 ]])
ecef_positions_offset = np.array([[-2711004.46961115, -4259099.33540613, 3884605.16002147],
[ 2068074.30639499, -5273413.78835412, 2927012.48741131],
[-2160344.53748176, -4932586.20092211, 3406636.2962545 ],
[-1458211.98517094, 5983151.11161276, 1655077.02698447],
[ 4167271.20055269, 4064398.22619263, 2602238.95265847]])
ned_offsets = np.array([[78.722153649976391, 24.396208657446344, 60.343017506838436],
[10.699003365155221, 37.319278617604269, 4.1084100025050407],
[95.282646251726959, 61.266689955574428, -25.376506058505054],
[68.535769283630003, -56.285970011848889, -100.54840137956515],
[-33.066609321880179, 46.549821994306861, -84.062540548335591]])
ecef_init_batch = np.array([2068042.69652729, -5273435.40316622, 2927004.89190746])
ecef_positions_offset_batch = np.array([[ 2068089.41454771, -5273434.46829148, 2927074.04783672],
[ 2068103.31628647, -5273393.92275431, 2927102.08725987],
[ 2068108.49939636, -5273359.27047121, 2927045.07091581],
[ 2068075.12395611, -5273381.69432566, 2927041.08207992],
[ 2068060.72033399, -5273430.6061505, 2927094.54928305]])
ned_offsets_batch = np.array([[ 53.88103168, 43.83445935, -46.27488057],
[ 93.83378995, 71.57943024, -30.23113187],
[ 57.26725796, 89.05602684, 23.02265814],
[ 49.71775195, 49.79767572, 17.15351015],
[ 78.56272609, 18.53100158, -43.25290759]])
class TestNED:
def test_small_distances(self):
start_geodetic = np.array([33.8042184, -117.888593, 0.0])
local_coord = coord.LocalCoord.from_geodetic(start_geodetic)
start_ned = local_coord.geodetic2ned(start_geodetic)
np.testing.assert_array_equal(start_ned, np.zeros(3,))
west_geodetic = start_geodetic + [0, -0.0005, 0]
west_ned = local_coord.geodetic2ned(west_geodetic)
assert np.abs(west_ned[0]) < 1e-3
assert west_ned[1] < 0
southwest_geodetic = start_geodetic + [-0.0005, -0.002, 0]
southwest_ned = local_coord.geodetic2ned(southwest_geodetic)
assert southwest_ned[0] < 0
assert southwest_ned[1] < 0
def test_ecef_geodetic(self):
# testing single
np.testing.assert_allclose(ecef_positions[0], coord.geodetic2ecef(geodetic_positions[0]), rtol=1e-9)
np.testing.assert_allclose(geodetic_positions[0, :2], coord.ecef2geodetic(ecef_positions[0])[:2], rtol=1e-9)
np.testing.assert_allclose(geodetic_positions[0, 2], coord.ecef2geodetic(ecef_positions[0])[2], rtol=1e-9, atol=1e-4)
np.testing.assert_allclose(geodetic_positions[:, :2], coord.ecef2geodetic(ecef_positions)[:, :2], rtol=1e-9)
np.testing.assert_allclose(geodetic_positions[:, 2], coord.ecef2geodetic(ecef_positions)[:, 2], rtol=1e-9, atol=1e-4)
np.testing.assert_allclose(ecef_positions, coord.geodetic2ecef(geodetic_positions), rtol=1e-9)
def test_ned(self):
for ecef_pos in ecef_positions:
converter = coord.LocalCoord.from_ecef(ecef_pos)
ecef_pos_moved = ecef_pos + [25, -25, 25]
ecef_pos_moved_double_converted = converter.ned2ecef(converter.ecef2ned(ecef_pos_moved))
np.testing.assert_allclose(ecef_pos_moved, ecef_pos_moved_double_converted, rtol=1e-9)
for geo_pos in geodetic_positions:
converter = coord.LocalCoord.from_geodetic(geo_pos)
geo_pos_moved = geo_pos + np.array([0, 0, 10])
geo_pos_double_converted_moved = converter.ned2geodetic(converter.geodetic2ned(geo_pos) + np.array([0, 0, -10]))
np.testing.assert_allclose(geo_pos_moved[:2], geo_pos_double_converted_moved[:2], rtol=1e-9, atol=1e-6)
np.testing.assert_allclose(geo_pos_moved[2], geo_pos_double_converted_moved[2], rtol=1e-9, atol=1e-4)
def test_ned_saved_results(self):
for i, ecef_pos in enumerate(ecef_positions):
converter = coord.LocalCoord.from_ecef(ecef_pos)
np.testing.assert_allclose(converter.ned2ecef(ned_offsets[i]),
ecef_positions_offset[i],
rtol=1e-9, atol=1e-4)
np.testing.assert_allclose(converter.ecef2ned(ecef_positions_offset[i]),
ned_offsets[i],
rtol=1e-9, atol=1e-4)
def test_ned_batch(self):
converter = coord.LocalCoord.from_ecef(ecef_init_batch)
np.testing.assert_allclose(converter.ecef2ned(ecef_positions_offset_batch),
ned_offsets_batch,
rtol=1e-9, atol=1e-7)
np.testing.assert_allclose(converter.ned2ecef(ned_offsets_batch),
ecef_positions_offset_batch,
rtol=1e-9, atol=1e-7)
@@ -0,0 +1,61 @@
import numpy as np
from openpilot.common.transformations.orientation import euler2quat, quat2euler, euler2rot, rot2euler, \
rot2quat, quat2rot, \
ned_euler_from_ecef
eulers = np.array([[ 1.46520501, 2.78688383, 2.92780854],
[ 4.86909526, 3.60618161, 4.30648981],
[ 3.72175965, 2.68763705, 5.43895988],
[ 5.92306687, 5.69573614, 0.81100357],
[ 0.67838374, 5.02402037, 2.47106426]])
quats = np.array([[ 0.66855182, -0.71500939, 0.19539353, 0.06017818],
[ 0.43163717, 0.70013301, 0.28209145, 0.49389021],
[ 0.44121991, -0.08252646, 0.34257534, 0.82532207],
[ 0.88578382, -0.04515356, -0.32936046, 0.32383617],
[ 0.06578165, 0.61282835, 0.07126891, 0.78424163]])
ecef_positions = np.array([[-2711076.55270557, -4259167.14692758, 3884579.87669935],
[ 2068042.69652729, -5273435.40316622, 2927004.89190746],
[-2160412.60461669, -4932588.89873832, 3406542.29652851],
[-1458247.92550567, 5983060.87496612, 1654984.6099885 ],
[ 4167239.10867871, 4064301.90363223, 2602234.6065749 ]])
ned_eulers = np.array([[ 0.46806039, -0.4881889 , 1.65697808],
[-2.14525969, -0.36533066, 0.73813479],
[-1.39523364, -0.58540761, -1.77376356],
[-1.84220435, 0.61828016, -1.03310421],
[ 2.50450101, 0.36304151, 0.33136365]])
class TestOrientation:
def test_quat_euler(self):
for i, eul in enumerate(eulers):
np.testing.assert_allclose(quats[i], euler2quat(eul), rtol=1e-7)
np.testing.assert_allclose(quats[i], euler2quat(quat2euler(quats[i])), rtol=1e-6)
for i, eul in enumerate(eulers):
np.testing.assert_allclose(quats[i], euler2quat(list(eul)), rtol=1e-7)
np.testing.assert_allclose(quats[i], euler2quat(quat2euler(list(quats[i]))), rtol=1e-6)
np.testing.assert_allclose(quats, euler2quat(eulers), rtol=1e-7)
np.testing.assert_allclose(quats, euler2quat(quat2euler(quats)), rtol=1e-6)
def test_rot_euler(self):
for eul in eulers:
np.testing.assert_allclose(euler2quat(eul), euler2quat(rot2euler(euler2rot(eul))), rtol=1e-7)
for eul in eulers:
np.testing.assert_allclose(euler2quat(eul), euler2quat(rot2euler(euler2rot(list(eul)))), rtol=1e-7)
np.testing.assert_allclose(euler2quat(eulers), euler2quat(rot2euler(euler2rot(eulers))), rtol=1e-7)
def test_rot_quat(self):
for quat in quats:
np.testing.assert_allclose(quat, rot2quat(quat2rot(quat)), rtol=1e-7)
for quat in quats:
np.testing.assert_allclose(quat, rot2quat(quat2rot(list(quat))), rtol=1e-7)
np.testing.assert_allclose(quats, rot2quat(quat2rot(quats)), rtol=1e-7)
def test_euler_ned(self):
for i in range(len(eulers)):
np.testing.assert_allclose(ned_eulers[i], ned_euler_from_ecef(ecef_positions[i], eulers[i]), rtol=1e-7)
#np.testing.assert_allclose(eulers[i], ecef_euler_from_ned(ecef_positions[i], ned_eulers[i]), rtol=1e-7)
# np.testing.assert_allclose(ned_eulers, ned_euler_from_ecef(ecef_positions, eulers), rtol=1e-7)
+3 -24
View File
@@ -246,18 +246,13 @@ std::string random_string(std::string::size_type length) {
return s;
}
std::string dir_name(std::string const &path) {
size_t pos = path.find_last_of("/");
if (pos == std::string::npos) return "";
return path.substr(0, pos);
}
bool starts_with(const std::string &s1, const std::string &s2) {
return strncmp(s1.c_str(), s2.c_str(), s2.size()) == 0;
}
bool ends_with(const std::string &s1, const std::string &s2) {
return strcmp(s1.c_str() + (s1.size() - s2.size()), s2.c_str()) == 0;
bool ends_with(const std::string& s, const std::string& suffix) {
return s.size() >= suffix.size() &&
strcmp(s.c_str() + (s.size() - suffix.size()), suffix.c_str()) == 0;
}
std::string check_output(const std::string& command) {
@@ -276,20 +271,4 @@ std::string check_output(const std::string& command) {
return result;
}
struct tm get_time() {
time_t rawtime;
time(&rawtime);
struct tm sys_time;
gmtime_r(&rawtime, &sys_time);
return sys_time;
}
bool time_valid(struct tm sys_time) {
int year = 1900 + sys_time.tm_year;
int month = 1 + sys_time.tm_mon;
return (year > 2023) || (year == 2023 && month >= 6);
}
} // namespace util
+8 -7
View File
@@ -8,7 +8,6 @@
#include <atomic>
#include <chrono>
#include <csignal>
#include <ctime>
#include <map>
#include <memory>
#include <mutex>
@@ -45,10 +44,6 @@ int set_realtime_priority(int level);
int set_core_affinity(std::vector<int> cores);
int set_file_descriptor_limit(uint64_t limit);
// ***** Time helpers *****
struct tm get_time();
bool time_valid(struct tm sys_time);
// ***** math helpers *****
// map x from [a1, a2] to [b1, b2]
@@ -75,9 +70,8 @@ int getenv(const char* key, int default_val);
float getenv(const char* key, float default_val);
std::string hexdump(const uint8_t* in, const size_t size);
std::string dir_name(std::string const& path);
bool starts_with(const std::string &s1, const std::string &s2);
bool ends_with(const std::string &s1, const std::string &s2);
bool ends_with(const std::string &s, const std::string &suffix);
// ***** random helpers *****
int random_int(int min, int max);
@@ -179,3 +173,10 @@ void update_max_atomic(std::atomic<T>& max, T const& value) {
T prev = max;
while (prev < value && !max.compare_exchange_weak(prev, value)) {}
}
typedef struct Rect {
int x;
int y;
int w;
int h;
} Rect;
+11
View File
@@ -0,0 +1,11 @@
class Freezable:
_frozen: bool = False
def freeze(self):
if not self._frozen:
self._frozen = True
def __setattr__(self, *args, **kwargs):
if self._frozen:
raise Exception("cannot modify frozen object")
super().__setattr__(*args, **kwargs)
+1 -1
View File
@@ -1 +1 @@
#define COMMA_VERSION "0.9.6"
#define COMMA_VERSION "0.9.7"