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9 Commits

Author SHA1 Message Date
DevTekVE a3201845f2 Merge branch 'temp-squash-long-distance-btn-exp-mode' into master-dev-c3-new-test 2025-01-18 19:39:08 +01:00
DevTekVE 9567c074c1 Longitudinal: Distance button hold to toggle Chill/Experimental Mode (#576)
Source commit: 13cb725652

Original commits:

* Sync: `commaai/openpilot:master` into `sunnypilot/sunnypilot:master-new` (#580)
* test_processes: update ref logs to afde277
* # Conflicts:
* #    .github/workflows/ui_preview.yaml
* #    opendbc_repo
* #    panda
* #    release/release_files.py
* #    selfdrive/test/process_replay/ref_commit
* #    selfdrive/ui/tests/test_ui/run.py
* bring back ui.py (#34396)
* * bring back uipy
* * fix it
* * fix
* Log satellite count in GpsLocationData (#34395)
* * Log satellite count in GpsLocationData
* * update refs
* * forgot to build
* Toyota: allow brake hold (#34394)
* toyota okay
* fix uv (#34393)
* uv fix
* Update RELEASES.md
* release this month
* no need
* fix
* unused
* Longitudinal: Distance button hold to toggle Chill/Experimental Mode
* Hyundai: match cancel button panda safety logic (#34390)
* * rising edge
* * should work
* * TODO
* * fix
* card: fix cruise speed initialization w/ buttons (#34386)
* * fix initialize w/ buttons
* * what
* * comment
* VW: switch to common pcmCruise check (#34389)
* Update car_specific.py
* card: vcruise all in one place (#34387)
* * no reason to not be here
* * oh this was off by a frame!
* * ref
* Fix missing visual car dash alerts (#34385)
* * fix missing visual dash alerts
* * update refs
* process_replay: add cast in migrate_longitudinalPlan (#34383)
* * Cast
* * Something
* * Remove newline
* process_replay: ignore unknown members in the migration code (#34382)
* * Fix the migration for the events
* * clean up
* clean up
* clean up
* * no continue
* ---------
* Co-authored-by: Shane Smiskol <shane@smiskol.com>
* Getting rid of openpilot.common.numpy_fast (#34368)
* * Got rid openpilot.common.numpy_fast
* * fixed some data type erros
* * importing numpy instead of importing specific functions
* * fixing some numpy importing mistakes
* * Update selfdrive/car/cruise.py
* ---------
* Co-authored-by: Adeeb Shihadeh <adeebshihadeh@gmail.com>
* Toyota: remove longitudinal derivative (#34378)
* * Update Python packages
* * update refs
* ---------
* Co-authored-by: Vehicle Researcher <user@comma.ai>
* Co-authored-by: Shane Smiskol <shane@smiskol.com>
* PlotJuggler: Layout for debugging locationdTemporaryError (#34381)
* * PlotJuggler: layout for debugging locationd
* * not needed, and codespell doesn't like it
* raylib: revert auto fit screen size (#34380)
* revert auto fit screen size
* Remove release files (conceptually) (#34379)
* * Remove release files (conceptually)
* * fix
* raylib: refactor to implement new App class (#34375)
* refactor to implement new App class
* [bot] Update Python packages (#34376)
* * Update Python packages
* * time -> time_helpers
* ---------
* Co-authored-by: Vehicle Researcher <user@comma.ai>
* Co-authored-by: Maxime Desroches <desroches.maxime@gmail.com>
* CI: Add missing uppercase_keyboard UI view (#34347)
* * add-uppercase-preview
* * testing-UI-on-fork
* * change back
* * add-my-branch
* * needs to see sha from fork for test
* * fix missing sha
* * change back
* * get correct named artifact
* * try this
* * experimenting coordinates
* * try these coordinates
* * try these coordinates
* * draws circles to see touches - changes coordinates
* * try these changes
* * better coordinates
* * click is more centered
* * try again
* * revert back
* * revert these too
* * last revert...
* Keyboard: add missing control btns to uppercase (#34344)
* * add-slash-to uppercase
* * Trigger UI preview workflow
* Move uds.py (#34374)
* * rm uds pt. 1
* * rm uds pt. 2
* * imports
* oops need raw
* third_party: add raygui (#34369)
* swaglog: fix locale dependence (#34367)
* encoderd: refactor VideoEncoder::publisher_publish to standardize member variable access (#34342)
* remove redundant pointer parameter
* modeld: properly release OpenCL context in  `__dealloc__` method (#34353)
* release OpenCL context in __dealloc__
* release soon
* loggerd: typing and remove unused default arg (#34349)
* deleter cleanups (#34345)
2025-01-18 19:39:07 +01:00
DevTekVE a79a2ac494 Merge branch 'temp-squash-long-distance-btn-exp-mode' into master-dev-c3-new-test 2025-01-18 19:35:46 +01:00
DevTekVE e6055d68be Longitudinal: Distance button hold to toggle Chill/Experimental Mode (#576)
Original commits:

* Sync: `commaai/openpilot:master` into `sunnypilot/sunnypilot:master-new` (#580)
* test_processes: update ref logs to afde277
* # Conflicts:
* #    .github/workflows/ui_preview.yaml
* #    opendbc_repo
* #    panda
* #    release/release_files.py
* #    selfdrive/test/process_replay/ref_commit
* #    selfdrive/ui/tests/test_ui/run.py
* bring back ui.py (#34396)
* * bring back uipy
* * fix it
* * fix
* Log satellite count in GpsLocationData (#34395)
* * Log satellite count in GpsLocationData
* * update refs
* * forgot to build
* Toyota: allow brake hold (#34394)
* toyota okay
* fix uv (#34393)
* uv fix
* Update RELEASES.md
* release this month
* no need
* fix
* unused
* Longitudinal: Distance button hold to toggle Chill/Experimental Mode
* Hyundai: match cancel button panda safety logic (#34390)
* * rising edge
* * should work
* * TODO
* * fix
* card: fix cruise speed initialization w/ buttons (#34386)
* * fix initialize w/ buttons
* * what
* * comment
* VW: switch to common pcmCruise check (#34389)
* Update car_specific.py
* card: vcruise all in one place (#34387)
* * no reason to not be here
* * oh this was off by a frame!
* * ref
* Fix missing visual car dash alerts (#34385)
* * fix missing visual dash alerts
* * update refs
* process_replay: add cast in migrate_longitudinalPlan (#34383)
* * Cast
* * Something
* * Remove newline
* process_replay: ignore unknown members in the migration code (#34382)
* * Fix the migration for the events
* * clean up
* clean up
* clean up
* * no continue
* ---------
* Co-authored-by: Shane Smiskol <shane@smiskol.com>
* Getting rid of openpilot.common.numpy_fast (#34368)
* * Got rid openpilot.common.numpy_fast
* * fixed some data type erros
* * importing numpy instead of importing specific functions
* * fixing some numpy importing mistakes
* * Update selfdrive/car/cruise.py
* ---------
* Co-authored-by: Adeeb Shihadeh <adeebshihadeh@gmail.com>
* Toyota: remove longitudinal derivative (#34378)
* * Update Python packages
* * update refs
* ---------
* Co-authored-by: Vehicle Researcher <user@comma.ai>
* Co-authored-by: Shane Smiskol <shane@smiskol.com>
* PlotJuggler: Layout for debugging locationdTemporaryError (#34381)
* * PlotJuggler: layout for debugging locationd
* * not needed, and codespell doesn't like it
* raylib: revert auto fit screen size (#34380)
* revert auto fit screen size
* Remove release files (conceptually) (#34379)
* * Remove release files (conceptually)
* * fix
* raylib: refactor to implement new App class (#34375)
* refactor to implement new App class
* [bot] Update Python packages (#34376)
* * Update Python packages
* * time -> time_helpers
* ---------
* Co-authored-by: Vehicle Researcher <user@comma.ai>
* Co-authored-by: Maxime Desroches <desroches.maxime@gmail.com>
* CI: Add missing uppercase_keyboard UI view (#34347)
* * add-uppercase-preview
* * testing-UI-on-fork
* * change back
* * add-my-branch
* * needs to see sha from fork for test
* * fix missing sha
* * change back
* * get correct named artifact
* * try this
* * experimenting coordinates
* * try these coordinates
* * try these coordinates
* * draws circles to see touches - changes coordinates
* * try these changes
* * better coordinates
* * click is more centered
* * try again
* * revert back
* * revert these too
* * last revert...
* Keyboard: add missing control btns to uppercase (#34344)
* * add-slash-to uppercase
* * Trigger UI preview workflow
* Move uds.py (#34374)
* * rm uds pt. 1
* * rm uds pt. 2
* * imports
* oops need raw
* third_party: add raygui (#34369)
* swaglog: fix locale dependence (#34367)
* encoderd: refactor VideoEncoder::publisher_publish to standardize member variable access (#34342)
* remove redundant pointer parameter
* modeld: properly release OpenCL context in  `__dealloc__` method (#34353)
* release OpenCL context in __dealloc__
* release soon
* loggerd: typing and remove unused default arg (#34349)
* deleter cleanups (#34345)
2025-01-18 19:35:46 +01:00
DevTekVE 3b907acfe7 Longitudinal: Distance button hold to toggle Chill/Experimental Mode
Original commits:

* no need
* fix
* unused
* Longitudinal: Distance button hold to toggle Chill/Experimental Mode
2025-01-15 21:42:38 +01:00
Jason Wen 01c5dbdc4c Hyundai CAN: auto-enable radar tracks on applicable Mando radar (#561)
* more

* event and checks

* comments

* missed events

* retry 2 times is enough

* rename to radar tracks

* fix data type

* more rename

* bump opendbc

* drain first

* put it behind a toggle lol

* re-enable

* update comments

* revert lead smoothing

* Revert "revert lead smoothing"

This reverts commit 872267970c.

* real events and radard engagement

* only show up for hyundai with mando

* update translations

* bump opendbc

* fix event name

* update description

* move above

* translations

---------

Co-authored-by: rav4kumar <meetkumardesai@gmail.com>
2025-01-13 16:14:00 -05:00
Kumar c3bfd17028 Revert "Longitudinal: Dynamic Experimental Control" (#571)
Revert "Longitudinal: Dynamic Experimental Control (#564)"

This reverts commit bba3c39e2f.
2025-01-13 05:17:15 +00:00
Kumar bba3c39e2f Longitudinal: Dynamic Experimental Control (#564)
* init dec

* Update sunnypilot/selfdrive/controls/lib/dynamic_experimental_controller.py

Co-authored-by: sourcery-ai[bot] <58596630+sourcery-ai[bot]@users.noreply.github.com>

* Update sunnypilot/selfdrive/controls/lib/dynamic_experimental_controller.py

Co-authored-by: sourcery-ai[bot] <58596630+sourcery-ai[bot]@users.noreply.github.com>

* fix static test

* ff

* fix static test

* unitee testt

* Refactor test_dynamic_controller and fix formatting issues

Added a new import for STOP_AND_GO_FRAME and corrected a float initialization for v_ego in MockCarState. Also fixed indentation in the test_standstill_detection method for consistency.

* Refactor test indentation for dynamic controller tests

Adjust indentation and formatting in test_dynamic_controller.py to ensure consistency and readability. This change does not alter functionality but improves the maintainability of the test code.

* Migrated to pytest using claude

* Integrate radar parameter into dynamic controller's pytest tests

Added a `has_radar` parameter to the test functions in the dynamic controller's pytest file. This allows each function to run both with and without radar inputs, thus enhancing the coverage of our test cases.

* Disabling unittest file to allow checks on the pipeline to succeed.

Pending to remove this, but leaving it to validate the move to pytest is okay before merging

* Replace unittest with pytest for dynamic controller tests

Migrated dynamic controller tests from unittest to pytest for improved readability and maintainability. Refactored mock setup using pytest fixtures and monkeypatching while preserving test coverage.

* new line...

* Refactor and modularize DynamicExperimentalController logic

Moved DynamicExperimentalController logic and helper functions to a dedicated module for better readability and maintainability. Simplified longitudinal planner logic by introducing reusable methods to manage MPC mode and longitudinal plan publishing. Adjusted file structure for dynamic controller-related components and updated relevant imports.

* Add missing import for messaging in helpers.py

The `messaging` module was added to resolve potential issues with undefined references. This change ensures all required imports are present, improving the reliability and maintainability of the code.

* Format

* Formatting

* rebase fix

* Refactor MpcSource definition and update references.

Moved MpcSource enum into LongitudinalPlanSP for better encapsulation. Updated references in helpers.py to use the new path. This change improves code organization and maintains functionality.

* Format

* Refactor DEC into a dedicated longitudinal planner class

Move Dynamic Experimental Control (DEC) logic to a new `DecLongitudinalPlanner` class for better modularity and maintainability. This simplifies the `LongitudinalPlanner` by delegating DEC-specific behavior and consolidates related methods into a single file. Additionally, redundant code was removed to improve readability and reduce complexity.

* **Refactor DEC module structure for better organization**

Moved DEC-related files from `dec` to `lib` for improved clarity and consistency within the project structure. Updated all relevant import paths to reflect the new locations. Ensured functionality remains unaffected with these changes.

* static test

* static

* had moved to car_state

* cleanup

* some more

* static method

* move around

* more cleanup

* stuff

* into their own

* rename

* check live param

* sync with stock

* type hint

* unused

* smoother trans

* window time

* fix type hint

* pass sm.frame from plannerd

* more fixes

* more

* more explicit

* fix test

* Revert "fix test"

This reverts commit 635b15f2bc.

* Revert "pass sm.frame from plannerd"

This reverts commit a8deaa69b8.

* use internal frame

---------

Co-authored-by: sourcery-ai[bot] <58596630+sourcery-ai[bot]@users.noreply.github.com>
Co-authored-by: DevTekVE <devtekve@gmail.com>
Co-authored-by: Jason Wen <haibin.wen3@gmail.com>
2025-01-12 19:11:58 -05:00
Jason Wen 4a60eb50e5 ui: new design for Device panel buttons (#557)
* init btns

* better design

* force offroad in another PR

* old calibration design for now

* revert

* ci: fix position

* try this

* check ci

* Revert "check ci"

This reverts commit 80795cc700.

* test more ci

* Revert "test more ci"

This reverts commit 05670b5ad6.

* nuke more on CI

* unlikely but why not

* Revert "unlikely but why not"

This reverts commit 72f45a7516.

* Revert "nuke more on CI"

This reverts commit 7f406efc24.

* try this

* Revert "try this"

This reverts commit 3ce6768067.

* same across
2025-01-12 15:29:08 -05:00
192 changed files with 8230 additions and 1316 deletions
+1 -9
View File
@@ -67,15 +67,7 @@ jobs:
timeout-minutes: 1
run: |
cd $STRIPPED_DIR
${{ env.RUN }} "release/check-dirty.sh && \
MAX_EXAMPLES=5 $PYTEST -m 'not slow' selfdrive/car system/manager"
- name: Static analysis
timeout-minutes: 1
run: |
cd $GITHUB_WORKSPACE
cp pyproject.toml $STRIPPED_DIR
cd $STRIPPED_DIR
${{ env.RUN }} "scripts/lint/lint.sh --skip check_added_large_files"
${{ env.RUN }} "release/check-dirty.sh"
build:
runs-on:
+1 -1
View File
@@ -86,7 +86,7 @@ jobs:
run: >-
sudo apt-get install -y imagemagick
scenes="homescreen settings_device settings_software settings_sunnylink settings_toggles settings_sunnypilot settings_sunnypilot_mads settings_trips settings_developer offroad_alert update_available prime onroad onroad_disengaged onroad_override onroad_sidebar onroad_wide onroad_wide_sidebar onroad_alert_small onroad_alert_mid onroad_alert_full driver_camera body keyboard"
scenes="homescreen settings_device settings_software settings_sunnylink settings_toggles settings_sunnypilot settings_sunnypilot_mads settings_trips settings_developer offroad_alert update_available prime onroad onroad_disengaged onroad_override onroad_sidebar onroad_wide onroad_wide_sidebar onroad_alert_small onroad_alert_mid onroad_alert_full driver_camera body keyboard keyboard_uppercase"
A=($scenes)
DIFF=""
+12 -5
View File
@@ -1,16 +1,23 @@
Version 0.9.8 (2024-XX-XX)
Version 0.9.9 (2025-03-30)
========================
* Coming soon
* Rivian support
* F-150 & Mach-E support
* Tesla Model 3 support
Version 0.9.8 (2025-01-30)
========================
* New driving model
* Trained in brand new ML simulator
* Model now gates applying positive accel in Chill mode
* New driving monitoring model
* Reduced false positives related to passengers
* Image processing pipeline moved to the ISP
* More GPU time for driving models
* Power draw reduced 0.5W, which means your device runs cooler
* Power draw reduced 0.5W, which means your device runs cooler
* Added toggle to enable driver monitoring even when openpilot is not engaged
* Enable openpilot longitudinal control for Ford Q3 vehicles
* New Toyota TSS2 longitudinal tune
* Coming soon
* New driving model with gas gating
* Training data upload mode
Version 0.9.7 (2024-06-13)
========================
+3
View File
@@ -198,6 +198,8 @@ struct OnroadEvent @0xc4fa6047f024e718 {
silentSeatbeltNotLatched @161;
silentParkBrake @162;
controlsMismatchLateral @163;
hyundaiRadarTracksConfirmed @164;
experimentalModeSwitched @165;
soundsUnavailableDEPRECATED @47;
}
@@ -482,6 +484,7 @@ struct GpsLocationData {
speedAccuracy @12 :Float32;
hasFix @13 :Bool;
satelliteCount @14 :Int8;
enum SensorSource {
android @0;
+4
View File
@@ -79,6 +79,10 @@ cl_context cl_create_context(cl_device_id device_id) {
return CL_CHECK_ERR(clCreateContext(NULL, 1, &device_id, NULL, NULL, &err));
}
void cl_release_context(cl_context context) {
clReleaseContext(context);
}
cl_program cl_program_from_file(cl_context ctx, cl_device_id device_id, const char* path, const char* args) {
return cl_program_from_source(ctx, device_id, util::read_file(path), args);
}
+1
View File
@@ -23,6 +23,7 @@
cl_device_id cl_get_device_id(cl_device_type device_type);
cl_context cl_create_context(cl_device_id device_id);
void cl_release_context(cl_context context);
cl_program cl_program_from_source(cl_context ctx, cl_device_id device_id, const std::string& src, const char* args = nullptr);
cl_program cl_program_from_binary(cl_context ctx, cl_device_id device_id, const uint8_t* binary, size_t length, const char* args = nullptr);
cl_program cl_program_from_file(cl_context ctx, cl_device_id device_id, const char* path, const char* args);
+6
View File
@@ -223,6 +223,12 @@ std::unordered_map<std::string, uint32_t> keys = {
{"SunnylinkDongleId", PERSISTENT},
{"SunnylinkdPid", PERSISTENT},
{"SunnylinkEnabled", PERSISTENT},
// sunnypilot car specific params
{"HyundaiRadarTracks", PERSISTENT},
{"HyundaiRadarTracksConfirmed", PERSISTENT},
{"HyundaiRadarTracksPersistent", PERSISTENT},
{"HyundaiRadarTracksToggle", PERSISTENT},
};
} // namespace
+6 -9
View File
@@ -1,9 +1,6 @@
import numpy as np
from numbers import Number
from openpilot.common.numpy_fast import clip, interp
class PIDController:
def __init__(self, k_p, k_i, k_f=0., k_d=0., pos_limit=1e308, neg_limit=-1e308, rate=100):
self._k_p = k_p
@@ -28,15 +25,15 @@ class PIDController:
@property
def k_p(self):
return interp(self.speed, self._k_p[0], self._k_p[1])
return np.interp(self.speed, self._k_p[0], self._k_p[1])
@property
def k_i(self):
return interp(self.speed, self._k_i[0], self._k_i[1])
return np.interp(self.speed, self._k_i[0], self._k_i[1])
@property
def k_d(self):
return interp(self.speed, self._k_d[0], self._k_d[1])
return np.interp(self.speed, self._k_d[0], self._k_d[1])
@property
def error_integral(self):
@@ -64,10 +61,10 @@ class PIDController:
# Clip i to prevent exceeding control limits
control_no_i = self.p + self.d + self.f
control_no_i = clip(control_no_i, self.neg_limit, self.pos_limit)
self.i = clip(self.i, self.neg_limit - control_no_i, self.pos_limit - control_no_i)
control_no_i = np.clip(control_no_i, self.neg_limit, self.pos_limit)
self.i = np.clip(self.i, self.neg_limit - control_no_i, self.pos_limit - control_no_i)
control = self.p + self.i + self.d + self.f
self.control = clip(control, self.neg_limit, self.pos_limit)
self.control = np.clip(control, self.neg_limit, self.pos_limit)
return self.control
+3
View File
@@ -26,6 +26,9 @@ public:
zmq_setsockopt(sock, ZMQ_LINGER, &timeout, sizeof(timeout));
zmq_connect(sock, Path::swaglog_ipc().c_str());
// workaround for https://github.com/dropbox/json11/issues/38
setlocale(LC_NUMERIC, "C");
print_level = CLOUDLOG_WARNING;
if (const char* print_lvl = getenv("LOGPRINT")) {
if (strcmp(print_lvl, "debug") == 0) {
-21
View File
@@ -1,21 +0,0 @@
import numpy as np
from openpilot.common.numpy_fast import interp
class TestInterp:
def test_correctness_controls(self):
_A_CRUISE_MIN_BP = np.asarray([0., 5., 10., 20., 40.])
_A_CRUISE_MIN_V = np.asarray([-1.0, -.8, -.67, -.5, -.30])
v_ego_arr = [-1, -1e-12, 0, 4, 5, 6, 7, 10, 11, 15.2, 20, 21, 39,
39.999999, 40, 41]
expected = np.interp(v_ego_arr, _A_CRUISE_MIN_BP, _A_CRUISE_MIN_V)
actual = interp(v_ego_arr, _A_CRUISE_MIN_BP, _A_CRUISE_MIN_V)
np.testing.assert_equal(actual, expected)
for v_ego in v_ego_arr:
expected = np.interp(v_ego, _A_CRUISE_MIN_BP, _A_CRUISE_MIN_V)
actual = interp(v_ego, _A_CRUISE_MIN_BP, _A_CRUISE_MIN_V)
np.testing.assert_equal(actual, expected)
+1 -1
View File
@@ -88,7 +88,7 @@ A supported vehicle is one that just works when you install a comma device. All
|Hyundai|Elantra 2017-18|Smart Cruise Control (SCC)|Stock|19 mph|32 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-empty.svg)](##)|<details><summary>Parts</summary><sub>- 1 Hyundai B connector<br>- 1 RJ45 cable (7 ft)<br>- 1 comma 3X<br>- 1 comma power v2<br>- 1 harness box<br>- 1 mount<br>- 1 right angle OBD-C cable (1.5 ft)<br><a href="https://comma.ai/shop/comma-3x.html?make=Hyundai&model=Elantra 2017-18">Buy Here</a></sub></details>||
|Hyundai|Elantra 2019|Smart Cruise Control (SCC)|Stock|19 mph|32 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-empty.svg)](##)|<details><summary>Parts</summary><sub>- 1 Hyundai G connector<br>- 1 RJ45 cable (7 ft)<br>- 1 comma 3X<br>- 1 comma power v2<br>- 1 harness box<br>- 1 mount<br>- 1 right angle OBD-C cable (1.5 ft)<br><a href="https://comma.ai/shop/comma-3x.html?make=Hyundai&model=Elantra 2019">Buy Here</a></sub></details>||
|Hyundai|Elantra 2021-23|Smart Cruise Control (SCC)|openpilot available[<sup>1</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|<details><summary>Parts</summary><sub>- 1 Hyundai K connector<br>- 1 RJ45 cable (7 ft)<br>- 1 comma 3X<br>- 1 comma power v2<br>- 1 harness box<br>- 1 mount<br>- 1 right angle OBD-C cable (1.5 ft)<br><a href="https://comma.ai/shop/comma-3x.html?make=Hyundai&model=Elantra 2021-23">Buy Here</a></sub></details>|<a href="https://youtu.be/_EdYQtV52-c" target="_blank"><img height="18px" src="assets/icon-youtube.svg"></img></a>|
|Hyundai|Elantra GT 2017-19|Smart Cruise Control (SCC)|Stock|0 mph|32 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|<details><summary>Parts</summary><sub>- 1 Hyundai E connector<br>- 1 RJ45 cable (7 ft)<br>- 1 comma 3X<br>- 1 comma power v2<br>- 1 harness box<br>- 1 mount<br>- 1 right angle OBD-C cable (1.5 ft)<br><a href="https://comma.ai/shop/comma-3x.html?make=Hyundai&model=Elantra GT 2017-19">Buy Here</a></sub></details>||
|Hyundai|Elantra GT 2017-20|Smart Cruise Control (SCC)|Stock|0 mph|32 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|<details><summary>Parts</summary><sub>- 1 Hyundai E connector<br>- 1 RJ45 cable (7 ft)<br>- 1 comma 3X<br>- 1 comma power v2<br>- 1 harness box<br>- 1 mount<br>- 1 right angle OBD-C cable (1.5 ft)<br><a href="https://comma.ai/shop/comma-3x.html?make=Hyundai&model=Elantra GT 2017-20">Buy Here</a></sub></details>||
|Hyundai|Elantra Hybrid 2021-23|Smart Cruise Control (SCC)|openpilot available[<sup>1</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|<details><summary>Parts</summary><sub>- 1 Hyundai K connector<br>- 1 RJ45 cable (7 ft)<br>- 1 comma 3X<br>- 1 comma power v2<br>- 1 harness box<br>- 1 mount<br>- 1 right angle OBD-C cable (1.5 ft)<br><a href="https://comma.ai/shop/comma-3x.html?make=Hyundai&model=Elantra Hybrid 2021-23">Buy Here</a></sub></details>|<a href="https://youtu.be/_EdYQtV52-c" target="_blank"><img height="18px" src="assets/icon-youtube.svg"></img></a>|
|Hyundai|Genesis 2015-16|Smart Cruise Control (SCC)|Stock|19 mph|37 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-empty.svg)](##)|<details><summary>Parts</summary><sub>- 1 Hyundai J connector<br>- 1 RJ45 cable (7 ft)<br>- 1 comma 3X<br>- 1 comma power v2<br>- 1 harness box<br>- 1 mount<br>- 1 right angle OBD-C cable (1.5 ft)<br><a href="https://comma.ai/shop/comma-3x.html?make=Hyundai&model=Genesis 2015-16">Buy Here</a></sub></details>||
|Hyundai|i30 2017-19|Smart Cruise Control (SCC)|Stock|0 mph|32 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|<details><summary>Parts</summary><sub>- 1 Hyundai E connector<br>- 1 RJ45 cable (7 ft)<br>- 1 comma 3X<br>- 1 comma power v2<br>- 1 harness box<br>- 1 mount<br>- 1 right angle OBD-C cable (1.5 ft)<br><a href="https://comma.ai/shop/comma-3x.html?make=Hyundai&model=i30 2017-19">Buy Here</a></sub></details>||
+1 -1
Submodule panda updated: 781af8b4f1...96632fa921
+2 -175
View File
@@ -6,41 +6,11 @@ from pathlib import Path
HERE = os.path.abspath(os.path.dirname(__file__))
ROOT = HERE + "/.."
# blacklisting is for two purposes:
# - minimizing release download size
# - keeping the diff readable
blacklist = [
"panda/drivers/",
"panda/examples/",
"panda/tests/safety/",
"opendbc_repo/dbc/.*.dbc$",
"opendbc_repo/dbc/generator/",
"cereal/.*test.*",
"^common/tests/",
# particularly large text files
"uv.lock",
"third_party/catch2",
"selfdrive/car/tests/test_models.*",
"^tools/",
"^tinygrad_repo/",
".git/",
"matlab.*.md",
".git/",
".github/",
".devcontainer/",
"Darwin/",
".vscode",
# common things
"LICENSE",
"Dockerfile",
".pre-commit",
# no LFS or submodules in release
".lfsconfig",
".gitattributes",
@@ -48,153 +18,10 @@ blacklist = [
".gitmodules",
]
# Sunnypilot blacklist
sunnypilot_blacklist = [
"system/loggerd/sunnylink_uploader.py", # Temporarily, until we are ready to roll it out widely
".idea/",
".run/",
".*__pycache__/.*",
".*\\.pyc",
"teleoprtc/*",
"third_party/snpe/x86_64/*",
"body/board/canloader.py",
"body/board/flash_base.sh",
"body/board/flash_knee.sh",
"body/board/recover.sh",
".*/test/",
".*/tests/",
".*tinygrad_repo/tinygrad/renderer/",
"README.md",
".*internal/",
"docs/.*",
".sconsign.dblite",
"release/ci/scons_cache/",
".gitlab-ci.yml",
".clang-tidy",
".dockerignore",
".editorconfig",
".python-version",
"SECURITY.md",
"codecov.yml",
"conftest.py",
"poetry.lock",
".venv/",
]
# Merge the blacklists
blacklist += sunnypilot_blacklist
# gets you through the blacklist
whitelist = [
"tools/lib/",
"tools/bodyteleop/",
"tools/joystick/",
"tools/longitudinal_maneuvers/",
"tinygrad_repo/examples/openpilot/compile3.py",
"tinygrad_repo/extra/onnx.py",
"tinygrad_repo/extra/onnx_ops.py",
"tinygrad_repo/extra/thneed.py",
"tinygrad_repo/extra/utils.py",
"tinygrad_repo/tinygrad/codegen/kernel.py",
"tinygrad_repo/tinygrad/codegen/linearizer.py",
"tinygrad_repo/tinygrad/features/image.py",
"tinygrad_repo/tinygrad/features/search.py",
"tinygrad_repo/tinygrad/nn/*",
"tinygrad_repo/tinygrad/renderer/cstyle.py",
"tinygrad_repo/tinygrad/renderer/opencl.py",
"tinygrad_repo/tinygrad/runtime/lib.py",
"tinygrad_repo/tinygrad/runtime/ops_cpu.py",
"tinygrad_repo/tinygrad/runtime/ops_disk.py",
"tinygrad_repo/tinygrad/runtime/ops_gpu.py",
"tinygrad_repo/tinygrad/shape/*",
"tinygrad_repo/tinygrad/.*.py",
# TODO: do this automatically
"opendbc_repo/dbc/comma_body.dbc",
"opendbc_repo/dbc/chrysler_ram_hd_generated.dbc",
"opendbc_repo/dbc/chrysler_ram_dt_generated.dbc",
"opendbc_repo/dbc/chrysler_pacifica_2017_hybrid_generated.dbc",
"opendbc_repo/dbc/chrysler_pacifica_2017_hybrid_private_fusion.dbc",
"opendbc_repo/dbc/gm_global_a_powertrain_generated.dbc",
"opendbc_repo/dbc/gm_global_a_object.dbc",
"opendbc_repo/dbc/gm_global_a_chassis.dbc",
"opendbc_repo/dbc/FORD_CADS.dbc",
"opendbc_repo/dbc/ford_fusion_2018_adas.dbc",
"opendbc_repo/dbc/ford_lincoln_base_pt.dbc",
"opendbc_repo/dbc/honda_accord_2018_can_generated.dbc",
"opendbc_repo/dbc/acura_ilx_2016_can_generated.dbc",
"opendbc_repo/dbc/acura_rdx_2018_can_generated.dbc",
"opendbc_repo/dbc/acura_rdx_2020_can_generated.dbc",
"opendbc_repo/dbc/honda_civic_touring_2016_can_generated.dbc",
"opendbc_repo/dbc/honda_civic_hatchback_ex_2017_can_generated.dbc",
"opendbc_repo/dbc/honda_crv_touring_2016_can_generated.dbc",
"opendbc_repo/dbc/honda_crv_ex_2017_can_generated.dbc",
"opendbc_repo/dbc/honda_crv_ex_2017_body_generated.dbc",
"opendbc_repo/dbc/honda_crv_executive_2016_can_generated.dbc",
"opendbc_repo/dbc/honda_fit_ex_2018_can_generated.dbc",
"opendbc_repo/dbc/honda_odyssey_exl_2018_generated.dbc",
"opendbc_repo/dbc/honda_odyssey_extreme_edition_2018_china_can_generated.dbc",
"opendbc_repo/dbc/honda_insight_ex_2019_can_generated.dbc",
"opendbc_repo/dbc/acura_ilx_2016_nidec.dbc",
"opendbc_repo/dbc/honda_civic_ex_2022_can_generated.dbc",
"opendbc_repo/dbc/hyundai_canfd.dbc",
"opendbc_repo/dbc/hyundai_kia_generic.dbc",
"opendbc_repo/dbc/hyundai_kia_mando_front_radar_generated.dbc",
"opendbc_repo/dbc/mazda_2017.dbc",
"opendbc_repo/dbc/nissan_x_trail_2017_generated.dbc",
"opendbc_repo/dbc/nissan_leaf_2018_generated.dbc",
"opendbc_repo/dbc/subaru_global_2017_generated.dbc",
"opendbc_repo/dbc/subaru_global_2020_hybrid_generated.dbc",
"opendbc_repo/dbc/subaru_outback_2015_generated.dbc",
"opendbc_repo/dbc/subaru_outback_2019_generated.dbc",
"opendbc_repo/dbc/subaru_forester_2017_generated.dbc",
"opendbc_repo/dbc/toyota_tnga_k_pt_generated.dbc",
"opendbc_repo/dbc/toyota_new_mc_pt_generated.dbc",
"opendbc_repo/dbc/toyota_nodsu_pt_generated.dbc",
"opendbc_repo/dbc/toyota_adas.dbc",
"opendbc_repo/dbc/toyota_tss2_adas.dbc",
"opendbc_repo/dbc/vw_golf_mk4.dbc",
"opendbc_repo/dbc/vw_mqb_2010.dbc",
"opendbc_repo/dbc/tesla_can.dbc",
"opendbc_repo/dbc/tesla_radar_bosch_generated.dbc",
"opendbc_repo/dbc/tesla_radar_continental_generated.dbc",
"opendbc_repo/dbc/tesla_powertrain.dbc",
whitelist: list[str] = [
]
# Sunnypilot whitelist
sunnypilot_whitelist = [
"^README.md",
".*selfdrive/test/fuzzy_generation.py",
".*selfdrive/test/helpers.py",
".*selfdrive/test/__init__.py",
".*selfdrive/test/setup_device_ci.sh",
".*selfdrive/test/test_time_to_onroad.py",
".*selfdrive/test/test_onroad.py",
".*system/manager/test/test_manager.py",
".*system/manager/test/__init__.py",
".*system/qcomgpsd/tests/test_qcomgpsd.py",
".*system/updated/casync/tests/test_casync.py",
".*system/updated/tests/test_git.py",
".*system/updated/tests/test_base.py",
".*selfdrive/ui/tests/test_translations.py",
".*selfdrive/car/tests/__init__.py",
".*selfdrive/car/tests/test_car_interfaces.py",
".*selfdrive/navd/tests/test_navd.py",
".*selfdrive/navd/tests/test_map_renderer.py",
".*selfdrive/boardd/tests/test_boardd_loopback.py",
".*INTEGRATION.md",
".*HOW-TOS.md",
".*CARS.md",
".*LIMITATIONS.md",
".*CONTRIBUTING.md",
".*sunnyhaibin0850_qrcode_paypal.me.png",
"opendbc/.*.dbc",
]
# Merge the whitelists
whitelist += sunnypilot_whitelist
if __name__ == "__main__":
for f in Path(ROOT).rglob("**/*"):
+6 -5
View File
@@ -122,7 +122,7 @@ class CarSpecificEvents:
elif self.CP.carName == 'volkswagen':
events = self.create_common_events(CS, CS_prev, extra_gears=[GearShifter.eco, GearShifter.sport, GearShifter.manumatic],
pcm_enable=not self.CP.openpilotLongitudinalControl,
pcm_enable=self.CP.pcmCruise,
enable_buttons=(ButtonType.setCruise, ButtonType.resumeCruise))
# Low speed steer alert hysteresis logic
@@ -149,7 +149,7 @@ class CarSpecificEvents:
# Main button also can trigger an engagement on these cars
self.cruise_buttons.append(any(ev.type in HYUNDAI_ENABLE_BUTTONS for ev in CS.buttonEvents))
events = self.create_common_events(CS, CS_prev, extra_gears=(GearShifter.sport, GearShifter.manumatic),
pcm_enable=self.CP.pcmCruise, allow_enable=any(self.cruise_buttons))
pcm_enable=self.CP.pcmCruise, allow_enable=any(self.cruise_buttons), allow_button_cancel=False)
# low speed steer alert hysteresis logic (only for cars with steer cut off above 10 m/s)
if CS.vEgo < (self.CP.minSteerSpeed + 2.) and self.CP.minSteerSpeed > 10.:
@@ -165,7 +165,7 @@ class CarSpecificEvents:
return events
def create_common_events(self, CS: structs.CarState, CS_prev: car.CarState, extra_gears=None, pcm_enable=True,
allow_enable=True, enable_buttons=(ButtonType.accelCruise, ButtonType.decelCruise)):
allow_enable=True, allow_button_cancel=True, enable_buttons=(ButtonType.accelCruise, ButtonType.decelCruise)):
events = Events()
if CS.doorOpen:
@@ -191,7 +191,7 @@ class CarSpecificEvents:
events.add(EventName.speedTooHigh)
if CS.cruiseState.nonAdaptive:
events.add(EventName.wrongCruiseMode)
if CS.brakeHoldActive and self.CP.openpilotLongitudinalControl:
if CS.brakeHoldActive and self.CP.openpilotLongitudinalControl and self.CP.carName != 'toyota':
events.add(EventName.brakeHold)
if CS.parkingBrake:
events.add(EventName.parkBrake)
@@ -216,7 +216,8 @@ class CarSpecificEvents:
if not self.CP.pcmCruise and (b.type in enable_buttons and not b.pressed):
events.add(EventName.buttonEnable)
# Disable on rising and falling edge of cancel for both stock and OP long
if b.type == ButtonType.cancel:
# TODO: only check the cancel button with openpilot longitudinal on all brands to match panda safety
if b.type == ButtonType.cancel and (allow_button_cancel or not self.CP.pcmCruise):
events.add(EventName.buttonCancel)
# Handle permanent and temporary steering faults
+10 -4
View File
@@ -23,6 +23,7 @@ from openpilot.selfdrive.car.cruise import VCruiseHelper
from openpilot.selfdrive.car.car_specific import MockCarState
from openpilot.sunnypilot.mads.mads import MadsParams
from openpilot.sunnypilot.selfdrive.car.interfaces import setup_car_interface_sp, initialize_car_interface_sp
REPLAY = "REPLAY" in os.environ
@@ -74,6 +75,7 @@ class Car:
self.can_rcv_cum_timeout_counter = 0
self.CC_prev = car.CarControl.new_message()
self.CS_prev = car.CarState.new_message()
self.initialized_prev = False
self.last_actuators_output = structs.CarControl.Actuators()
@@ -100,6 +102,7 @@ class Car:
cached_params = _cached_params
self.CI = get_car(*self.can_callbacks, obd_callback(self.params), experimental_long_allowed, num_pandas, cached_params)
setup_car_interface_sp(self.CI.CP, self.params)
self.RI = get_radar_interface(self.CI.CP)
self.CP = self.CI.CP
@@ -186,8 +189,12 @@ class Car:
if can_rcv_valid and REPLAY:
self.can_log_mono_time = messaging.log_from_bytes(can_strs[0]).logMonoTime
# TODO: mirror the carState.cruiseState struct?
self.v_cruise_helper.update_v_cruise(CS, self.sm['carControl'].enabled, self.is_metric)
if self.sm['carControl'].enabled and not self.CC_prev.enabled:
# Use CarState w/ buttons from the step selfdrived enables on
self.v_cruise_helper.initialize_v_cruise(self.CS_prev, self.experimental_mode)
# TODO: mirror the carState.cruiseState struct?
CS.vCruise = float(self.v_cruise_helper.v_cruise_kph)
CS.vCruiseCluster = float(self.v_cruise_helper.v_cruise_cluster_kph)
@@ -230,6 +237,7 @@ class Car:
# Initialize CarInterface, once controls are ready
# TODO: this can make us miss at least a few cycles when doing an ECU knockout
self.CI.init(self.CP, *self.can_callbacks)
initialize_car_interface_sp(self.CP, self.params, *self.can_callbacks)
# signal pandad to switch to car safety mode
self.params.put_bool_nonblocking("ControlsReady", True)
@@ -244,9 +252,6 @@ class Car:
def step(self):
CS, RD = self.state_update()
if self.sm['carControl'].enabled and not self.CC_prev.enabled:
self.v_cruise_helper.initialize_v_cruise(CS, self.experimental_mode)
self.state_publish(CS, RD)
initialized = (not any(e.name == EventName.selfdriveInitializing for e in self.sm['onroadEvents']) and
@@ -255,6 +260,7 @@ class Car:
self.controls_update(CS, self.sm['carControl'])
self.initialized_prev = initialized
self.CS_prev = CS
def params_thread(self, evt):
while not evt.is_set():
+3 -3
View File
@@ -1,8 +1,8 @@
import math
import numpy as np
from cereal import car
from openpilot.common.conversions import Conversions as CV
from openpilot.common.numpy_fast import clip
# WARNING: this value was determined based on the model's training distribution,
@@ -106,7 +106,7 @@ class VCruiseHelper:
if CS.gasPressed and button_type in (ButtonType.decelCruise, ButtonType.setCruise):
self.v_cruise_kph = max(self.v_cruise_kph, CS.vEgo * CV.MS_TO_KPH)
self.v_cruise_kph = clip(round(self.v_cruise_kph, 1), V_CRUISE_MIN, V_CRUISE_MAX)
self.v_cruise_kph = np.clip(round(self.v_cruise_kph, 1), V_CRUISE_MIN, V_CRUISE_MAX)
def update_button_timers(self, CS, enabled):
# increment timer for buttons still pressed
@@ -130,6 +130,6 @@ class VCruiseHelper:
if any(b.type in (ButtonType.accelCruise, ButtonType.resumeCruise) for b in CS.buttonEvents) and self.v_cruise_initialized:
self.v_cruise_kph = self.v_cruise_kph_last
else:
self.v_cruise_kph = int(round(clip(CS.vEgo * CV.MS_TO_KPH, initial, V_CRUISE_MAX)))
self.v_cruise_kph = int(round(np.clip(CS.vEgo * CV.MS_TO_KPH, initial, V_CRUISE_MAX)))
self.v_cruise_cluster_kph = self.v_cruise_kph
+6 -5
View File
@@ -119,15 +119,16 @@ class Controls:
# accel PID loop
pid_accel_limits = self.CI.get_pid_accel_limits(self.CP, CS.vEgo, CS.vCruise * CV.KPH_TO_MS)
actuators.accel = self.LoC.update(CC.longActive, CS, long_plan.aTarget, long_plan.shouldStop, pid_accel_limits)
actuators.accel = float(self.LoC.update(CC.longActive, CS, long_plan.aTarget, long_plan.shouldStop, pid_accel_limits))
# Steering PID loop and lateral MPC
self.desired_curvature = clip_curvature(CS.vEgo, self.desired_curvature, model_v2.action.desiredCurvature)
actuators.curvature = self.desired_curvature
actuators.steer, actuators.steeringAngleDeg, lac_log = self.LaC.update(CC.latActive, CS, self.VM, lp,
actuators.curvature = float(self.desired_curvature)
steer, steeringAngleDeg, lac_log = self.LaC.update(CC.latActive, CS, self.VM, lp,
self.steer_limited, self.desired_curvature,
self.calibrated_pose) # TODO what if not available
actuators.steer = float(steer)
actuators.steeringAngleDeg = float(steeringAngleDeg)
# Ensure no NaNs/Infs
for p in ACTUATOR_FIELDS:
attr = getattr(actuators, p)
@@ -192,7 +193,7 @@ class Controls:
cs.longitudinalPlanMonoTime = self.sm.logMonoTime['longitudinalPlan']
cs.lateralPlanMonoTime = self.sm.logMonoTime['modelV2']
cs.desiredCurvature = self.desired_curvature
cs.desiredCurvature = float(self.desired_curvature)
cs.longControlState = self.LoC.long_control_state
cs.upAccelCmd = float(self.LoC.pid.p)
cs.uiAccelCmd = float(self.LoC.pid.i)
+4 -4
View File
@@ -1,5 +1,5 @@
import numpy as np
from cereal import log
from openpilot.common.numpy_fast import clip
from openpilot.common.realtime import DT_CTRL
MIN_SPEED = 1.0
@@ -13,10 +13,10 @@ MAX_LATERAL_JERK = 5.0
MAX_VEL_ERR = 5.0
def clip_curvature(v_ego, prev_curvature, new_curvature):
new_curvature = clip(new_curvature, -MAX_CURVATURE, MAX_CURVATURE)
new_curvature = np.clip(new_curvature, -MAX_CURVATURE, MAX_CURVATURE)
v_ego = max(MIN_SPEED, v_ego)
max_curvature_rate = MAX_LATERAL_JERK / (v_ego**2) # inexact calculation, check https://github.com/commaai/openpilot/pull/24755
safe_desired_curvature = clip(new_curvature,
safe_desired_curvature = np.clip(new_curvature,
prev_curvature - max_curvature_rate * DT_CTRL,
prev_curvature + max_curvature_rate * DT_CTRL)
@@ -26,6 +26,6 @@ def clip_curvature(v_ego, prev_curvature, new_curvature):
def get_speed_error(modelV2: log.ModelDataV2, v_ego: float) -> float:
# ToDo: Try relative error, and absolute speed
if len(modelV2.temporalPose.trans):
vel_err = clip(modelV2.temporalPose.trans[0] - v_ego, -MAX_VEL_ERR, MAX_VEL_ERR)
vel_err = np.clip(modelV2.temporalPose.trans[0] - v_ego, -MAX_VEL_ERR, MAX_VEL_ERR)
return float(vel_err)
return 0.0
+2 -2
View File
@@ -1,6 +1,6 @@
import numpy as np
from abc import abstractmethod, ABC
from openpilot.common.numpy_fast import clip
from openpilot.common.realtime import DT_CTRL
MIN_LATERAL_CONTROL_SPEED = 0.3 # m/s
@@ -28,5 +28,5 @@ class LatControl(ABC):
self.sat_count += self.sat_count_rate
else:
self.sat_count -= self.sat_count_rate
self.sat_count = clip(self.sat_count, 0.0, self.sat_limit)
self.sat_count = np.clip(self.sat_count, 0.0, self.sat_limit)
return self.sat_count > (self.sat_limit - 1e-3)
+1 -1
View File
@@ -23,7 +23,7 @@ class LatControlAngle(LatControl):
angle_steers_des += params.angleOffsetDeg
angle_control_saturated = abs(angle_steers_des - CS.steeringAngleDeg) > STEER_ANGLE_SATURATION_THRESHOLD
angle_log.saturated = self._check_saturation(angle_control_saturated, CS, False)
angle_log.saturated = bool(self._check_saturation(angle_control_saturated, CS, False))
angle_log.steeringAngleDeg = float(CS.steeringAngleDeg)
angle_log.steeringAngleDesiredDeg = angle_steers_des
return 0, float(angle_steers_des), angle_log
+5 -5
View File
@@ -39,10 +39,10 @@ class LatControlPID(LatControl):
output_steer = self.pid.update(error, override=CS.steeringPressed,
feedforward=steer_feedforward, speed=CS.vEgo)
pid_log.active = True
pid_log.p = self.pid.p
pid_log.i = self.pid.i
pid_log.f = self.pid.f
pid_log.output = output_steer
pid_log.saturated = self._check_saturation(self.steer_max - abs(output_steer) < 1e-3, CS, steer_limited)
pid_log.p = float(self.pid.p)
pid_log.i = float(self.pid.i)
pid_log.f = float(self.pid.f)
pid_log.output = float(output_steer)
pid_log.saturated = bool(self._check_saturation(self.steer_max - abs(output_steer) < 1e-3, CS, steer_limited))
return output_steer, angle_steers_des, pid_log
+12 -12
View File
@@ -1,8 +1,8 @@
import math
import numpy as np
from cereal import log
from opendbc.car.interfaces import LatControlInputs
from openpilot.common.numpy_fast import interp
from openpilot.selfdrive.controls.lib.latcontrol import LatControl
from openpilot.common.pid import PIDController
from openpilot.selfdrive.controls.lib.vehicle_model import ACCELERATION_DUE_TO_GRAVITY
@@ -51,7 +51,7 @@ class LatControlTorque(LatControl):
else:
assert calibrated_pose is not None
actual_curvature_pose = calibrated_pose.angular_velocity.yaw / CS.vEgo
actual_curvature = interp(CS.vEgo, [2.0, 5.0], [actual_curvature_vm, actual_curvature_pose])
actual_curvature = np.interp(CS.vEgo, [2.0, 5.0], [actual_curvature_vm, actual_curvature_pose])
curvature_deadzone = 0.0
desired_lateral_accel = desired_curvature * CS.vEgo ** 2
@@ -60,7 +60,7 @@ class LatControlTorque(LatControl):
actual_lateral_accel = actual_curvature * CS.vEgo ** 2
lateral_accel_deadzone = curvature_deadzone * CS.vEgo ** 2
low_speed_factor = interp(CS.vEgo, LOW_SPEED_X, LOW_SPEED_Y)**2
low_speed_factor = np.interp(CS.vEgo, LOW_SPEED_X, LOW_SPEED_Y)**2
setpoint = desired_lateral_accel + low_speed_factor * desired_curvature
measurement = actual_lateral_accel + low_speed_factor * actual_curvature
gravity_adjusted_lateral_accel = desired_lateral_accel - roll_compensation
@@ -68,7 +68,7 @@ class LatControlTorque(LatControl):
setpoint, lateral_accel_deadzone, friction_compensation=False, gravity_adjusted=False)
torque_from_measurement = self.torque_from_lateral_accel(LatControlInputs(measurement, roll_compensation, CS.vEgo, CS.aEgo), self.torque_params,
measurement, lateral_accel_deadzone, friction_compensation=False, gravity_adjusted=False)
pid_log.error = torque_from_setpoint - torque_from_measurement
pid_log.error = float(torque_from_setpoint - torque_from_measurement)
ff = self.torque_from_lateral_accel(LatControlInputs(gravity_adjusted_lateral_accel, roll_compensation, CS.vEgo, CS.aEgo), self.torque_params,
desired_lateral_accel - actual_lateral_accel, lateral_accel_deadzone, friction_compensation=True,
gravity_adjusted=True)
@@ -80,14 +80,14 @@ class LatControlTorque(LatControl):
freeze_integrator=freeze_integrator)
pid_log.active = True
pid_log.p = self.pid.p
pid_log.i = self.pid.i
pid_log.d = self.pid.d
pid_log.f = self.pid.f
pid_log.output = -output_torque
pid_log.actualLateralAccel = actual_lateral_accel
pid_log.desiredLateralAccel = desired_lateral_accel
pid_log.saturated = self._check_saturation(self.steer_max - abs(output_torque) < 1e-3, CS, steer_limited)
pid_log.p = float(self.pid.p)
pid_log.i = float(self.pid.i)
pid_log.d = float(self.pid.d)
pid_log.f = float(self.pid.f)
pid_log.output = float(-output_torque)
pid_log.actualLateralAccel = float(actual_lateral_accel)
pid_log.desiredLateralAccel = float(desired_lateral_accel)
pid_log.saturated = bool(self._check_saturation(self.steer_max - abs(output_torque) < 1e-3, CS, steer_limited))
# TODO left is positive in this convention
return -output_torque, 0.0, pid_log
+2 -2
View File
@@ -1,5 +1,5 @@
import numpy as np
from cereal import car
from openpilot.common.numpy_fast import clip
from openpilot.common.realtime import DT_CTRL
from openpilot.selfdrive.controls.lib.drive_helpers import CONTROL_N
from openpilot.common.pid import PIDController
@@ -84,5 +84,5 @@ class LongControl:
output_accel = self.pid.update(error, speed=CS.vEgo,
feedforward=a_target)
self.last_output_accel = clip(output_accel, accel_limits[0], accel_limits[1])
self.last_output_accel = np.clip(output_accel, accel_limits[0], accel_limits[1])
return self.last_output_accel
@@ -4,7 +4,6 @@ import time
import numpy as np
from cereal import log
from opendbc.car.interfaces import ACCEL_MIN
from openpilot.common.numpy_fast import clip
from openpilot.common.realtime import DT_MDL
from openpilot.common.swaglog import cloudlog
# WARNING: imports outside of constants will not trigger a rebuild
@@ -320,9 +319,9 @@ class LongitudinalMpc:
# MPC will not converge if immediate crash is expected
# Clip lead distance to what is still possible to brake for
min_x_lead = ((v_ego + v_lead)/2) * (v_ego - v_lead) / (-ACCEL_MIN * 2)
x_lead = clip(x_lead, min_x_lead, 1e8)
v_lead = clip(v_lead, 0.0, 1e8)
a_lead = clip(a_lead, -10., 5.)
x_lead = np.clip(x_lead, min_x_lead, 1e8)
v_lead = np.clip(v_lead, 0.0, 1e8)
a_lead = np.clip(a_lead, -10., 5.)
lead_xv = self.extrapolate_lead(x_lead, v_lead, a_lead, a_lead_tau)
return lead_xv
+10 -11
View File
@@ -1,7 +1,6 @@
#!/usr/bin/env python3
import math
import numpy as np
from openpilot.common.numpy_fast import clip, interp
import cereal.messaging as messaging
from opendbc.car.interfaces import ACCEL_MIN, ACCEL_MAX
@@ -30,7 +29,7 @@ _A_TOTAL_MAX_BP = [20., 40.]
def get_max_accel(v_ego):
return interp(v_ego, A_CRUISE_MAX_BP, A_CRUISE_MAX_VALS)
return np.interp(v_ego, A_CRUISE_MAX_BP, A_CRUISE_MAX_VALS)
def get_coast_accel(pitch):
return np.sin(pitch) * -5.65 - 0.3 # fitted from data using xx/projects/allow_throttle/compute_coast_accel.py
@@ -43,7 +42,7 @@ def limit_accel_in_turns(v_ego, angle_steers, a_target, CP):
"""
# FIXME: This function to calculate lateral accel is incorrect and should use the VehicleModel
# The lookup table for turns should also be updated if we do this
a_total_max = interp(v_ego, _A_TOTAL_MAX_BP, _A_TOTAL_MAX_V)
a_total_max = np.interp(v_ego, _A_TOTAL_MAX_BP, _A_TOTAL_MAX_V)
a_y = v_ego ** 2 * angle_steers * CV.DEG_TO_RAD / (CP.steerRatio * CP.wheelbase)
a_x_allowed = math.sqrt(max(a_total_max ** 2 - a_y ** 2, 0.))
@@ -55,9 +54,9 @@ def get_accel_from_plan(speeds, accels, action_t=DT_MDL, vEgoStopping=0.05):
v_now = speeds[0]
a_now = accels[0]
v_target = interp(action_t, CONTROL_N_T_IDX, speeds)
v_target = np.interp(action_t, CONTROL_N_T_IDX, speeds)
a_target = 2 * (v_target - v_now) / (action_t) - a_now
v_target_1sec = interp(action_t + 1.0, CONTROL_N_T_IDX, speeds)
v_target_1sec = np.interp(action_t + 1.0, CONTROL_N_T_IDX, speeds)
else:
v_target = 0.0
v_target_1sec = 0.0
@@ -139,7 +138,7 @@ class LongitudinalPlanner:
if reset_state:
self.v_desired_filter.x = v_ego
# Clip aEgo to cruise limits to prevent large accelerations when becoming active
self.a_desired = clip(sm['carState'].aEgo, accel_limits[0], accel_limits[1])
self.a_desired = np.clip(sm['carState'].aEgo, accel_limits[0], accel_limits[1])
# Prevent divergence, smooth in current v_ego
self.v_desired_filter.x = max(0.0, self.v_desired_filter.update(v_ego))
@@ -151,7 +150,7 @@ class LongitudinalPlanner:
if not self.allow_throttle:
clipped_accel_coast = max(accel_coast, accel_limits_turns[0])
clipped_accel_coast_interp = interp(v_ego, [MIN_ALLOW_THROTTLE_SPEED, MIN_ALLOW_THROTTLE_SPEED*2], [accel_limits_turns[1], clipped_accel_coast])
clipped_accel_coast_interp = np.interp(v_ego, [MIN_ALLOW_THROTTLE_SPEED, MIN_ALLOW_THROTTLE_SPEED*2], [accel_limits_turns[1], clipped_accel_coast])
accel_limits_turns[1] = min(accel_limits_turns[1], clipped_accel_coast_interp)
if force_slow_decel:
@@ -176,7 +175,7 @@ class LongitudinalPlanner:
# Interpolate 0.05 seconds and save as starting point for next iteration
a_prev = self.a_desired
self.a_desired = float(interp(self.dt, CONTROL_N_T_IDX, self.a_desired_trajectory))
self.a_desired = float(np.interp(self.dt, CONTROL_N_T_IDX, self.a_desired_trajectory))
self.v_desired_filter.x = self.v_desired_filter.x + self.dt * (self.a_desired + a_prev) / 2.0
def publish(self, sm, pm):
@@ -200,9 +199,9 @@ class LongitudinalPlanner:
action_t = self.CP.longitudinalActuatorDelay + DT_MDL
a_target, should_stop = get_accel_from_plan(longitudinalPlan.speeds, longitudinalPlan.accels,
action_t=action_t, vEgoStopping=self.CP.vEgoStopping)
longitudinalPlan.aTarget = a_target
longitudinalPlan.shouldStop = should_stop
longitudinalPlan.aTarget = float(a_target)
longitudinalPlan.shouldStop = bool(should_stop)
longitudinalPlan.allowBrake = True
longitudinalPlan.allowThrottle = self.allow_throttle
longitudinalPlan.allowThrottle = bool(self.allow_throttle)
pm.send('longitudinalPlan', plan_send)
+2 -2
View File
@@ -1,11 +1,11 @@
#!/usr/bin/env python3
import math
import numpy as np
from collections import deque
from typing import Any
import capnp
from cereal import messaging, log, car
from openpilot.common.numpy_fast import interp
from openpilot.common.params import Params
from openpilot.common.realtime import DT_MDL, Priority, config_realtime_process
from openpilot.common.swaglog import cloudlog
@@ -44,7 +44,7 @@ class KalmanParams:
0.28144091, 0.27958406, 0.27783249, 0.27617149, 0.27458948, 0.27307714,
0.27162685, 0.27023228, 0.26888809, 0.26758976, 0.26633338, 0.26511557,
0.26393339, 0.26278425]
self.K = [[interp(dt, dts, K0)], [interp(dt, dts, K1)]]
self.K = [[np.interp(dt, dts, K0)], [np.interp(dt, dts, K1)]]
class Track:
+1 -1
View File
@@ -2,8 +2,8 @@
import sys
import argparse
from subprocess import check_output, CalledProcessError
from opendbc.car.uds import UdsClient, MessageTimeoutError, SESSION_TYPE, DTC_GROUP_TYPE
from panda import Panda
from panda.python.uds import UdsClient, MessageTimeoutError, SESSION_TYPE, DTC_GROUP_TYPE
parser = argparse.ArgumentParser(description="clear DTC status")
parser.add_argument("addr", type=lambda x: int(x,0), nargs="?", default=0x7DF) # default is functional (broadcast) address
@@ -1,9 +1,9 @@
#!/usr/bin/env python3
import argparse
from opendbc.car import uds
from openpilot.tools.lib.live_logreader import live_logreader
from openpilot.tools.lib.logreader import LogReader, ReadMode
from panda.python import uds
def main(route: str | None, addrs: list[int]):
@@ -16,8 +16,8 @@ import argparse
from typing import NamedTuple
from subprocess import check_output, CalledProcessError
from opendbc.car.uds import UdsClient, SESSION_TYPE, DATA_IDENTIFIER_TYPE
from panda.python import Panda
from panda.python.uds import UdsClient, SESSION_TYPE, DATA_IDENTIFIER_TYPE
class ConfigValues(NamedTuple):
default_config: bytes
+3 -3
View File
@@ -1,10 +1,10 @@
#!/usr/bin/env python3
import argparse
import numpy as np
import capnp
from collections import defaultdict
from cereal.messaging import SubMaster
from openpilot.common.numpy_fast import mean
def cputime_total(ct):
return ct.user + ct.nice + ct.system + ct.idle + ct.iowait + ct.irq + ct.softirq
@@ -49,7 +49,7 @@ if __name__ == "__main__":
if sm.updated['deviceState']:
t = sm['deviceState']
last_temp = mean(t.cpuTempC)
last_temp = np.mean(t.cpuTempC)
last_mem = t.memoryUsagePercent
if sm.updated['procLog']:
@@ -72,7 +72,7 @@ if __name__ == "__main__":
total_times = total_times_new[:]
busy_times = busy_times_new[:]
print(f"CPU {100.0 * mean(cores):.2f}% - RAM: {last_mem:.2f}% - Temp {last_temp:.2f}C")
print(f"CPU {100.0 * np.mean(cores):.2f}% - RAM: {last_mem:.2f}% - Temp {last_temp:.2f}C")
if args.cpu and prev_proclog is not None and prev_proclog_t is not None:
procs: dict[str, float] = defaultdict(float)
+1 -2
View File
@@ -2,9 +2,8 @@
import sys
import argparse
from subprocess import check_output, CalledProcessError
from opendbc.car.uds import UdsClient, SESSION_TYPE, DTC_REPORT_TYPE, DTC_STATUS_MASK_TYPE, get_dtc_num_as_str, get_dtc_status_names
from panda import Panda
from panda.python.uds import UdsClient, SESSION_TYPE, DTC_REPORT_TYPE, DTC_STATUS_MASK_TYPE
from panda.python.uds import get_dtc_num_as_str, get_dtc_status_names
parser = argparse.ArgumentParser(description="read DTC status")
parser.add_argument("addr", type=lambda x: int(x,0))
+2 -2
View File
@@ -3,9 +3,9 @@
import argparse
import struct
from enum import IntEnum
from panda import Panda
from panda.python.uds import UdsClient, MessageTimeoutError, NegativeResponseError, SESSION_TYPE,\
from opendbc.car.uds import UdsClient, MessageTimeoutError, NegativeResponseError, SESSION_TYPE,\
DATA_IDENTIFIER_TYPE, ACCESS_TYPE
from panda import Panda
from datetime import date
# TODO: extend UDS library to allow custom/vendor-defined data identifiers without ignoring type checks
+7 -8
View File
@@ -8,7 +8,6 @@ import cereal.messaging as messaging
from cereal import car, log
from openpilot.common.params import Params
from openpilot.common.realtime import config_realtime_process, DT_MDL
from openpilot.common.numpy_fast import clip
from openpilot.selfdrive.locationd.models.car_kf import CarKalman, ObservationKind, States
from openpilot.selfdrive.locationd.models.constants import GENERATED_DIR
from openpilot.selfdrive.locationd.helpers import PoseCalibrator, Pose
@@ -66,7 +65,7 @@ class ParamsLearner:
# This is done to bound the road roll estimate when localizer values are invalid
roll = 0.0
roll_std = np.radians(10.0)
self.roll = clip(roll, self.roll - ROLL_MAX_DELTA, self.roll + ROLL_MAX_DELTA)
self.roll = np.clip(roll, self.roll - ROLL_MAX_DELTA, self.roll + ROLL_MAX_DELTA)
yaw_rate_valid = msg.angularVelocityDevice.valid and self.calibrator.calib_valid
yaw_rate_valid = yaw_rate_valid and 0 < self.yaw_rate_std < 10 # rad/s
@@ -203,11 +202,11 @@ def main():
learner = ParamsLearner(CP, CP.steerRatio, 1.0, 0.0)
x = learner.kf.x
angle_offset_average = clip(math.degrees(x[States.ANGLE_OFFSET].item()),
angle_offset_average = np.clip(math.degrees(x[States.ANGLE_OFFSET].item()),
angle_offset_average - MAX_ANGLE_OFFSET_DELTA, angle_offset_average + MAX_ANGLE_OFFSET_DELTA)
angle_offset = clip(math.degrees(x[States.ANGLE_OFFSET].item() + x[States.ANGLE_OFFSET_FAST].item()),
angle_offset = np.clip(math.degrees(x[States.ANGLE_OFFSET].item() + x[States.ANGLE_OFFSET_FAST].item()),
angle_offset - MAX_ANGLE_OFFSET_DELTA, angle_offset + MAX_ANGLE_OFFSET_DELTA)
roll = clip(float(x[States.ROAD_ROLL].item()), roll - ROLL_MAX_DELTA, roll + ROLL_MAX_DELTA)
roll = np.clip(float(x[States.ROAD_ROLL].item()), roll - ROLL_MAX_DELTA, roll + ROLL_MAX_DELTA)
roll_std = float(P[States.ROAD_ROLL].item())
if learner.active and learner.speed > LOW_ACTIVE_SPEED:
# Account for the opposite signs of the yaw rates
@@ -226,9 +225,9 @@ def main():
liveParameters.sensorValid = sensors_valid
liveParameters.steerRatio = float(x[States.STEER_RATIO].item())
liveParameters.stiffnessFactor = float(x[States.STIFFNESS].item())
liveParameters.roll = roll
liveParameters.angleOffsetAverageDeg = angle_offset_average
liveParameters.angleOffsetDeg = angle_offset
liveParameters.roll = float(roll)
liveParameters.angleOffsetAverageDeg = float(angle_offset_average)
liveParameters.angleOffsetDeg = float(angle_offset)
liveParameters.valid = all((
avg_offset_valid,
total_offset_valid,
+1
View File
@@ -10,6 +10,7 @@ cdef extern from "common/clutil.h":
cdef unsigned long CL_DEVICE_TYPE_DEFAULT
cl_device_id cl_get_device_id(unsigned long)
cl_context cl_create_context(cl_device_id)
void cl_release_context(cl_context)
cdef extern from "selfdrive/modeld/models/commonmodel.h":
cppclass ModelFrame:
+5 -1
View File
@@ -8,7 +8,7 @@ from libc.stdint cimport uintptr_t
from msgq.visionipc.visionipc cimport cl_mem
from msgq.visionipc.visionipc_pyx cimport VisionBuf, CLContext as BaseCLContext
from .commonmodel cimport CL_DEVICE_TYPE_DEFAULT, cl_get_device_id, cl_create_context
from .commonmodel cimport CL_DEVICE_TYPE_DEFAULT, cl_get_device_id, cl_create_context, cl_release_context
from .commonmodel cimport mat3, ModelFrame as cppModelFrame, DrivingModelFrame as cppDrivingModelFrame, MonitoringModelFrame as cppMonitoringModelFrame
@@ -17,6 +17,10 @@ cdef class CLContext(BaseCLContext):
self.device_id = cl_get_device_id(CL_DEVICE_TYPE_DEFAULT)
self.context = cl_create_context(self.device_id)
def __dealloc__(self):
if self.context:
cl_release_context(self.context)
cdef class CLMem:
@staticmethod
cdef create(void * cmem):
+3 -3
View File
@@ -1,9 +1,9 @@
from math import atan2
import numpy as np
from cereal import car, log
import cereal.messaging as messaging
from openpilot.selfdrive.selfdrived.events import Events
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
@@ -205,10 +205,10 @@ class DriverMonitoring:
bp = model_data.meta.disengagePredictions.brakeDisengageProbs[0] # brake disengage prob in next 2s
k1 = max(-0.00156*((car_speed-16)**2)+0.6, 0.2)
bp_normal = max(min(bp / k1, 0.5),0)
self.pose.cfactor_pitch = interp(bp_normal, [0, 0.5],
self.pose.cfactor_pitch = np.interp(bp_normal, [0, 0.5],
[self.settings._POSE_PITCH_THRESHOLD_SLACK,
self.settings._POSE_PITCH_THRESHOLD_STRICT]) / self.settings._POSE_PITCH_THRESHOLD
self.pose.cfactor_yaw = interp(bp_normal, [0, 0.5],
self.pose.cfactor_yaw = np.interp(bp_normal, [0, 0.5],
[self.settings._POSE_YAW_THRESHOLD_SLACK,
self.settings._POSE_YAW_THRESHOLD_STRICT]) / self.settings._POSE_YAW_THRESHOLD
+7
View File
@@ -1061,6 +1061,13 @@ EVENTS: dict[int, dict[str, Alert | AlertCallbackType]] = {
ET.NO_ENTRY: NoEntryAlert("Controls Mismatch: Lateral"),
},
EventName.hyundaiRadarTracksConfirmed: {
ET.PERMANENT: NormalPermanentAlert("Radar tracks available. Restart the car to initialize")
},
EventName.experimentalModeSwitched: {
ET.WARNING: NormalPermanentAlert("Experimental Mode Switched", duration=1.5)
}
}
+21 -4
View File
@@ -24,6 +24,8 @@ from openpilot.selfdrive.controls.lib.latcontrol import MIN_LATERAL_CONTROL_SPEE
from openpilot.system.version import get_build_metadata
from openpilot.sunnypilot.mads.mads import ModularAssistiveDrivingSystem
from openpilot.sunnypilot.selfdrive.car.car_specific import CarSpecificEventsSP
from openpilot.sunnypilot.selfdrive.car.experimental_switcher import ExperimentalSwitcher
REPLAY = "REPLAY" in os.environ
SIMULATION = "SIMULATION" in os.environ
@@ -43,7 +45,7 @@ SafetyModel = car.CarParams.SafetyModel
IGNORED_SAFETY_MODES = (SafetyModel.silent, SafetyModel.noOutput)
class SelfdriveD:
class SelfdriveD(ExperimentalSwitcher):
def __init__(self, CP=None):
self.params = Params()
@@ -137,6 +139,10 @@ class SelfdriveD:
sock_services = list(self.pm.sock.keys()) + ['selfdriveStateSP']
self.pm = messaging.PubMaster(sock_services)
self.car_events_sp = CarSpecificEventsSP(self.CP, self.params)
ExperimentalSwitcher.__init__(self, self.params)
def update_events(self, CS):
"""Compute onroadEvents from carState"""
@@ -177,6 +183,9 @@ class SelfdriveD:
car_events = self.car_events.update(CS, self.CS_prev, self.sm['carControl']).to_msg()
self.events.add_from_msg(car_events)
car_events_sp = self.car_events_sp.update().to_msg()
self.events.add_from_msg(car_events_sp)
if self.CP.notCar:
# wait for everything to init first
if self.sm.frame > int(5. / DT_CTRL) and self.initialized:
@@ -361,12 +370,18 @@ class SelfdriveD:
if self.sm['modelV2'].frameDropPerc > 20:
self.events.add(EventName.modeldLagging)
# toggle experimental mode once on distance button hold
if self.CP.openpilotLongitudinalControl:
ExperimentalSwitcher.update(self, CS, self.events, self.experimental_mode)
# decrement personality on distance button press
if self.CP.openpilotLongitudinalControl:
if any(not be.pressed and be.type == ButtonType.gapAdjustCruise for be in CS.buttonEvents):
self.personality = (self.personality - 1) % 3
self.params.put_nonblocking('LongitudinalPersonality', str(self.personality))
self.events.add(EventName.personalityChanged)
if not self.experimental_mode_switched:
self.personality = (self.personality - 1) % 3
self.params.put_nonblocking('LongitudinalPersonality', str(self.personality))
self.events.add(EventName.personalityChanged)
self.experimental_mode_switched = False
def data_sample(self):
car_state = messaging.recv_one(self.car_state_sock)
@@ -446,6 +461,7 @@ class SelfdriveD:
ss.alertStatus = self.AM.current_alert.alert_status
ss.alertType = self.AM.current_alert.alert_type
ss.alertSound = self.AM.current_alert.audible_alert
ss.alertHudVisual = self.AM.current_alert.visual_alert
self.pm.send('selfdriveState', ss_msg)
@@ -495,6 +511,7 @@ class SelfdriveD:
self.personality = self.read_personality_param()
self.mads.read_params()
self.car_events_sp.read_params()
time.sleep(0.1)
def run(self):
@@ -121,7 +121,7 @@ class Plant:
ss.selfdriveState.personality = self.personality
control.controlsState.forceDecel = self.force_decel
car_state.carState.vEgo = float(self.speed)
car_state.carState.standstill = self.speed < 0.01
car_state.carState.standstill = bool(self.speed < 0.01)
car_state.carState.vCruise = float(v_cruise * 3.6)
car_control.carControl.orientationNED = [0., float(pitch), 0.]
@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:eb4235545588e617a82d698721503bdd048a5858da9d60b9b90eeecc8c969498
size 356186
@@ -1,3 +0,0 @@
version https://git-lfs.github.com/spec/v1
oid sha256:79ccc3bd2094ba8a55adedf0007b0152eb3a68edc5e2d35aeccbba122d5811c6
size 356151
@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c02a2432cb761440b9b5a0e432a13f05f5b03b9890bc5fe99f6c533be4f459f1
size 256426
@@ -1,3 +0,0 @@
version https://git-lfs.github.com/spec/v1
oid sha256:45f39fe1d1dc8c271f577d1a12812e01da34979bf3fffaad01a19a7a61b6d456
size 256342
@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f7b1411e8b4a91b4df94322023d83f5f2f27245fa761db73ffafd06b91068062
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