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29 Commits

Author SHA1 Message Date
discountchubbs e87a605fb2 relearn ideal sim pose 2026-10-20 18:39:44 -07:00
James Vecellio-Grant 11603b2de7 Update modeld.py 2026-10-20 18:02:52 -07:00
James Vecellio-Grant 644e23f8ef Update modeld.py 2026-10-20 17:55:15 -07:00
discountchubbs 7847dbf148 sm logging + qlog logging 2026-10-20 15:47:46 -07:00
discountchubbs 0af369cae0 blendful 2026-10-20 13:28:20 -07:00
James Vecellio-Grant 77d0c2d665 Ui fix 2026-10-20 07:16:14 -07:00
discountchubbs 4d2d3f69f5 winner takes all trust system in lane lines 2026-10-19 23:11:22 -07:00
discountchubbs e9fc7a2465 less is more 2026-10-19 21:43:35 -07:00
discountchubbs 61154655cd handle one line flicker by trust÷2 2026-10-19 20:25:29 -07:00
discountchubbs ed4e8aeea6 jerk limiting correctin strength so that hecker doesnt spin spin yo wheel 2026-10-19 20:20:45 -07:00
discountchubbs a3ed6bd2f0 blending 50% on sharp curvaruerqw 2026-10-19 16:49:48 -07:00
discountchubbs 46c0b31997 blend 30% plan with action projeciton 2026-10-19 16:28:07 -07:00
discountchubbs 8a50860648 quicker entry 2026-10-19 14:16:46 -07:00
discountchubbs 563fa3c782 sharp curvies have some issues :O 2026-10-19 13:38:52 -07:00
discountchubbs 0b3459fbdc decay trust when model intends to move plant off lane. think going around cones and stuff 2026-10-19 13:10:03 -07:00
discountchubbs 54a22bd8bd blended correction over .3 s 2026-10-19 12:54:53 -07:00
discountchubbs 6c674810ee default to 1.0 while i test variable weighting 2026-10-19 12:38:16 -07:00
discountchubbs e64f67ec7e red diff that 2026-10-19 12:36:35 -07:00
discountchubbs 9c7655c45e modeld_v2: blended laneful using weighted stds 2026-10-19 12:11:27 -07:00
discountchubbs 60c6464a14 Merge remote-tracking branch 'origin/master' into laneful-curves
# Conflicts:
#	openpilot/selfdrive/ui/mici/onroad/model_renderer.py
#	openpilot/sunnypilot/modeld_v2/modeld.py
2026-10-19 12:08:14 -07:00
James Vecellio-Grant 922513f312 ci: lfs pointers survive gc (#2066)
* ci: lfs pointers survive gc

* comma got gc'ed

* format
2026-10-18 22:41:23 -07:00
Kumar 0dacd0eec4 Revert "mapd: disable map-based Smart Cruise Control and speed limit sources until mapd has a position source" (#2065)
This reverts commit b6170ac5e9.
2026-10-18 19:25:14 -07:00
Kumar 09b2f4bbe0 mapd: fix mapd GPS position handling (#2064)
* mapd: restore the position mapd reads from llk

* turn it on

* mapd ui

* Revert "mapd ui"

This reverts commit 857d430297.

* Revert "turn it on"

This reverts commit 2a5d9a62be.
2026-10-18 19:07:32 -07:00
Amy Jeanes 0120b66f05 modeld: set AM_PERF_LEVEL to high for perf (#2061)
set AM_PERF_LEVEL to high for perf

Co-authored-by: James Vecellio-Grant <159560811+Discountchubbs@users.noreply.github.com>
2026-10-18 16:16:49 -07:00
James Vecellio-Grant f09b04c267 ci: upload big model over lfs (#2063)
ci: push chestnut via lfs
2026-10-18 16:14:06 -07:00
James Vecellio-Grant f0617e11a6 ci: fix default models (#2062)
* ci: fix default models

* shouldnt of been deleted

* skip dm warp as well
2026-10-18 15:30:33 -07:00
royjr bf93807e7b simple 2026-10-18 01:06:10 -04:00
royjr f54f2d462e settings 2026-10-18 00:15:49 -04:00
royjr 80494ec3cf init 2026-10-18 00:15:48 -04:00
30 changed files with 490 additions and 109 deletions
+4 -3
View File
@@ -115,7 +115,7 @@ jobs:
env ${TG_FLAGS} python3 ${{ github.workspace }}/${{ env.COMPILER }}/compile_onnx.py \
${{ github.workspace }}/${{ env.SMALL_ONNX }} \
${{ github.workspace }}/${{ env.SMALL_PKL }} \
--device-input "*" --out-of-band --benchmark-runs 1
--out-of-band --benchmark-runs 1
- name: Prepare output
env:
@@ -440,9 +440,10 @@ jobs:
TG_FLAGS="DEV=QCOM IMAGE=1 FLOAT16=1 NOLOCALS=1 JIT_BATCH_SIZE=0 OPENPILOT_HACKS=1"
taskset -c 7 env ${TG_FLAGS} python3 \
${{ github.workspace }}/tinygrad_repo/examples/openpilot/compile3.py \
${{ github.workspace }}/tinygrad_repo/examples/openpilot/compile_onnx.py \
${{ github.workspace }}/${{ env.DM_ONNX }} \
${{ github.workspace }}/${{ env.DM_PKL }}
${{ github.workspace }}/${{ env.DM_PKL }} \
--out-of-band --benchmark-runs 1
- name: Compile DM warp
run: |
+79 -1
View File
@@ -33,7 +33,7 @@ jobs:
- name: LFS Fetch
run: |
git lfs fetch
git lfs fetch || echo "::warning::some objects are missing on commaai/openpilot-lfs; mirroring the rest"
- name: Set up Git
run: |
@@ -68,6 +68,7 @@ jobs:
git config lfs.activitytimeout 300
git config lfs.transfer.maxretries 5
git config lfs.concurrenttransfers 4
git config lfs.allowincompletepush true
- name: Push LFS
id: sync-and-commit
@@ -81,3 +82,80 @@ jobs:
done
echo "All push attempts failed"
exit 1
- name: Checkout sunnypilot
uses: actions/checkout@v4
with:
repository: 'sunnypilot/sunnypilot'
path: sunnypilot
fetch-depth: 0
filter: blob:limit=1k
lfs: false
- name: Reference objects on sunnypilot-lfs
env:
HF_TOKEN: ${{ secrets.HF_TOKEN }}
run: |
set -euo pipefail
GIT_LFS_SKIP_SMUDGE=1 git clone --quiet https://huggingface.co/sunnypilot/sunnypilot-lfs hf-lfs
mkdir -p hf-lfs/all
cat > scan_pointers.py <<'EOF'
import re, subprocess, sys, threading
repo = sys.argv[1]
chk = subprocess.run(["git", "-C", repo, "cat-file", "--batch-all-objects",
"--batch-check=%(objectname) %(objecttype) %(objectsize)"],
capture_output=True, text=True, check=True).stdout
small = [f[0] for f in (l.split() for l in chk.splitlines()) if f[1] == "blob" and int(f[2]) < 1024]
p = subprocess.Popen(["git", "-C", repo, "cat-file", "--batch=%(objectsize)"],
stdin=subprocess.PIPE, stdout=subprocess.PIPE)
def feed():
for sha in small:
p.stdin.write(sha.encode() + b"\n")
p.stdin.close()
threading.Thread(target=feed, daemon=True).start()
rx = re.compile(rb"^version https://git-lfs\.github\.com/spec/v1\noid sha256:([0-9a-f]{64})\nsize ([0-9]+)\n")
seen = {}
for _ in small:
n = int(p.stdout.readline()); body = p.stdout.read(n); p.stdout.read(1)
m = rx.match(body)
if m:
seen.setdefault(m.group(1).decode(), m.group(2).decode())
for oid, size in sorted(seen.items()):
print(oid, size)
EOF
for repo in . sunnypilot; do
python3 scan_pointers.py "$repo"
done | sort -u | while read -r oid size; do
[ -e "hf-lfs/all/$oid" ] && continue
printf 'version https://git-lfs.github.com/spec/v1\noid sha256:%s\nsize %s\n' "$oid" "$size" > "hf-lfs/all/$oid"
echo "$oid"
done > new_oids.txt
echo "new pointer files: $(wc -l < new_oids.txt)"
dropped=0
while mapfile -t -n 100 chunk && ((${#chunk[@]})); do
body=$(for oid in "${chunk[@]}"; do
size=$(awk '/^size /{print $2}' "hf-lfs/all/$oid")
printf '{"oid":"%s","size":%s}\n' "$oid" "$size"
done | jq -s '{operation:"download",transfers:["basic"],objects:.}')
for attempt in 1 2 3 4 5; do
resp=$(curl -sS -u "user:${HF_TOKEN}" -w '\n%{http_code}' \
-H 'Accept: application/vnd.git-lfs+json' -H 'Content-Type: application/vnd.git-lfs+json' \
--data "$body" "${LFS_URL}/objects/batch") && [ "$(tail -n1 <<<"$resp")" = 200 ] && break
echo "batch check attempt $attempt failed ($(tail -n1 <<<"$resp")), retrying in 60s"; sleep 60
done
[ "$(tail -n1 <<<"$resp")" = 200 ] || { echo "batch check failed"; exit 1; }
for oid in $(sed '$d' <<<"$resp" | jq -r '.objects[] | select(.error) | .oid'); do
rm -f "hf-lfs/all/$oid"; dropped=$((dropped+1))
done
done < new_oids.txt
echo "dropped (not on HF): $dropped"
cd hf-lfs
git add -A all
if git diff --cached --quiet; then
echo "nothing new to reference"
exit 0
fi
git commit -q -m "Reference $(git diff --cached --name-only | wc -l | tr -d ' ') new LFS objects"
git push origin HEAD:main
@@ -594,8 +594,14 @@ jobs:
- name: Publish chestnut branch
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
HF_TOKEN: ${{ secrets.HF_TOKEN }}
run: |
CHESTNUT_BRANCH="${{ needs.prepare_strategy.outputs.new_branch }}-chestnut"
cp .lfsconfig "${{ env.OUTPUT_DIR }}/"
echo 'openpilot/selfdrive/modeld/models/big_*_tinygrad.pkl filter=lfs diff=lfs merge=lfs -text' > "${{ env.OUTPUT_DIR }}/.gitattributes"
git lfs install
git config --global credential.helper store
echo "https://user:${HF_TOKEN}@huggingface.co" > ~/.git-credentials
${{ env.CI_DIR }}/publish.sh \
"${{ github.workspace }}" \
+4
View File
@@ -465,6 +465,10 @@ struct ModelDataV2SP @0xa1680744031fdb2d {
laneTurnDirection @0 :TurnDirection;
leftLaneChangeEdgeBlock @1 :Bool;
rightLaneChangeEdgeBlock @2 :Bool;
lanefulCurvature @3 :Float32;
lanefulTrust @4 :Float32;
modelCurvature @5 :Float32;
lanefulGoingAround @6 :Bool;
enum TurnDirection {
none @0;
+1 -1
View File
@@ -94,7 +94,7 @@ _services: dict[str, tuple] = {
"carControlSP": (True, 100., 10),
"carStateSP": (True, 100., 10),
"liveMapDataSP": (True, 1., 1),
"modelDataV2SP": (True, 20., None, QueueSize.BIG),
"modelDataV2SP": (True, 20., 10, QueueSize.BIG),
"liveLocationKalman": (True, 20.),
# debug
+1
View File
@@ -256,6 +256,7 @@ inline static std::unordered_map<std::string, ParamKeyAttributes> keys = {
{"LagdValueCache", {PERSISTENT, FLOAT, "0.2"}},
{"LaneTurnDesire", {PERSISTENT | BACKUP, BOOL, "0"}},
{"LaneTurnValue", {PERSISTENT | BACKUP, FLOAT, "19.0"}},
{"Laneful", {PERSISTENT | BACKUP, BOOL, "0"}},
{"PlanplusControl", {PERSISTENT | BACKUP, FLOAT, "1.0"}},
// mapd
+4 -3
View File
@@ -48,8 +48,9 @@ def compile_model(onnx_path, pkl_path):
Action(cmd, " [ONNX] $TARGET"),
)
compile_model('models/dmonitoring_model.onnx', 'models/dmonitoring_model_tinygrad.pkl')
compile_model('models/driving_supercombo.onnx', 'models/driving_tinygrad.pkl')
if not os.getenv('SKIP_TINYGRAD_COMPILE'):
compile_model('models/dmonitoring_model.onnx', 'models/dmonitoring_model_tinygrad.pkl')
compile_model('models/driving_supercombo.onnx', 'models/driving_tinygrad.pkl')
model_w, model_h = MEDMODEL_INPUT_SIZE
for cam_w, cam_h in camera_configs:
@@ -62,7 +63,7 @@ for cam_w, cam_h in camera_configs:
lenv.Command(warp_pkl_path, tinygrad_files + warp_deps + [Value(cmd)], cmd)
dm_w, dm_h = DM_INPUT_SIZE
for cam_w, cam_h in camera_configs:
for cam_w, cam_h in [] if os.getenv('SKIP_TINYGRAD_COMPILE') else camera_configs:
dm_pkl_path = File(f"models/dm_warp_{cam_w}x{cam_h}_tinygrad.pkl").abspath
stride, y_height, uv_height, frame_size = get_nv12_info(cam_w, cam_h)
cmd = (f'{tg_flags} {mac_brew_string} python3 "{compiler}/compile_warp.py" '
+1
View File
@@ -7,6 +7,7 @@ from functools import cached_property
import os
os.environ['GMMU'] = '0' # for chestnut fast loading, noop for qcom
os.environ.setdefault('AM_POWER_LIMIT', '100')
os.environ.setdefault('AM_PERF_LEVEL', 'high')
from tinygrad.device import Buffer, Device
from tinygrad.dtype import DType, dtypes
from tinygrad.engine.realize import lower_and_compile
@@ -206,6 +206,8 @@ class AugmentedRoadView(CameraView):
def _handle_mouse_release(self, mouse_pos: MousePos):
# Don't trigger click callback if bookmark was triggered
if not self._bookmark_icon.interacting():
if self._model_renderer.laneful.handle_tap(mouse_pos):
return
super()._handle_mouse_release(mouse_pos)
def _render(self, _):
@@ -141,6 +141,7 @@ class ModelRenderer(Widget, ModelRendererSP):
if ui_state.status != UIStatus.DISENGAGED:
self._draw_lane_lines()
self._draw_path()
self.laneful.draw(self._rect)
if render_lead_indicator:
self._update_leads(sm)
@@ -219,6 +220,7 @@ class ModelRenderer(Widget, ModelRendererSP):
# Update road edges using raw points
for road_edge in self._road_edges:
road_edge.projected_points = self._map_line_to_polygon(road_edge.raw_points, line_width_factor, 0.0, max_idx)
self.laneful.update(self, max_idx)
# Update path using raw points
if lead and lead.present:
@@ -8,7 +8,6 @@ from enum import IntEnum
from openpilot.selfdrive.ui.sunnypilot.layouts.settings.cruise_sub_layouts.speed_limit_settings import SpeedLimitSettingsLayout
from openpilot.selfdrive.ui.ui_state import ui_state
from openpilot.sunnypilot.mapd import MAPD_AVAILABLE
from openpilot.system.ui.lib.multilang import tr, tr_noop
from openpilot.system.ui.sunnypilot.widgets.list_view import toggle_item_sp, option_item_sp, simple_button_item_sp
from openpilot.system.ui.widgets import Widget
@@ -30,7 +29,6 @@ ACC_ENABLED_DESCRIPTION = tr_noop("Enable custom Short & Long press increments f
ACC_NOLONG_DESCRIPTION = tr_noop("This feature can only be used with sunnypilot longitudinal control enabled.")
ACC_PCMCRUISE_DISABLED_DESCRIPTION = tr_noop("This feature is not supported on this platform due to vehicle limitations.")
ONROAD_ONLY_DESCRIPTION = tr_noop("Start the vehicle to check vehicle compatibility.")
MAP_UNAVAILABLE_DESCRIPTION = tr_noop("Map data is temporarily unavailable.")
class CruiseLayout(Widget):
@@ -56,8 +54,7 @@ class CruiseLayout(Widget):
self.scc_m_toggle = toggle_item_sp(
title=tr("Smart Cruise Control - Map"),
description=(f"<b>{tr(MAP_UNAVAILABLE_DESCRIPTION)}</b>\n\n" if not MAPD_AVAILABLE else "") +
tr("Use map data to estimate the appropriate speed to drive through turns ahead."),
description=tr("Use map data to estimate the appropriate speed to drive through turns ahead."),
param="SmartCruiseControlMap")
self.custom_acc_toggle = toggle_item_sp(
@@ -142,7 +139,7 @@ class CruiseLayout(Widget):
if has_long or has_icbm:
self.custom_acc_toggle.action_item.set_enabled(((has_long and not ui_state.CP.pcmCruise) or has_icbm) and ui_state.is_offroad())
self.scc_v_toggle.action_item.set_enabled(True)
self.scc_m_toggle.action_item.set_enabled(MAPD_AVAILABLE)
self.scc_m_toggle.action_item.set_enabled(True)
else:
ui_state.params.remove("CustomAccIncrementsEnabled")
ui_state.params.remove("SmartCruiseControlVision")
@@ -8,8 +8,6 @@ from collections.abc import Callable
import pyray as rl
from openpilot.selfdrive.ui.ui_state import ui_state
from openpilot.sunnypilot.mapd import MAPD_AVAILABLE
from openpilot.sunnypilot.selfdrive.controls.lib.speed_limit.common import Policy
from openpilot.system.ui.lib.multilang import tr
from openpilot.system.ui.sunnypilot.widgets.list_view import multiple_button_item_sp
from openpilot.system.ui.widgets.network import NavButton
@@ -45,8 +43,6 @@ class SpeedLimitPolicyLayout(Widget):
param="SpeedLimitPolicy",
button_width=250,
)
if not MAPD_AVAILABLE:
self._speed_limit_policy.action_item.set_enabled_buttons({Policy.car_state_only})
items = [
self._speed_limit_policy
@@ -55,8 +51,6 @@ class SpeedLimitPolicyLayout(Widget):
@staticmethod
def _get_policy_description():
if not MAPD_AVAILABLE:
return f"<b>{tr('Map data is temporarily unavailable. Using Speed Limit data only from Car.')}</b>"
return get_highlighted_description(ui_state.params, "SpeedLimitPolicy", SPEED_LIMIT_POLICY_DESCRIPTIONS)
def _render(self, rect):
@@ -0,0 +1,21 @@
"""
Copyright (c) 2021-, sunnypilot, and a number of other contributors.
This file is part of sunnypilot and is licensed under the MIT License.
See the LICENSE.md file in the root directory for more details.
"""
from openpilot.selfdrive.ui.mici.widgets.button import BigParamControl
from openpilot.system.ui.widgets.scroller import NavScroller
class LanefulLayoutMici(NavScroller):
def __init__(self):
super().__init__()
self._toggle = BigParamControl("laneful", "Laneful",
description="Keeps the car centered in its lane.\n" +
"Leans on the lane lines when they are clear, drives laneless when they are not.")
self._scroller.add_widget(self._toggle)
def show_event(self):
super().show_event()
self._toggle.refresh()
@@ -11,6 +11,7 @@ from openpilot.selfdrive.ui.mici.widgets.button import BigCircleButton
from openpilot.selfdrive.ui.mici.widgets.dialog import BigConfirmationDialog, BigDialog
from openpilot.selfdrive.ui.sunnypilot.mici.layouts.sunnylink import SunnylinkLayoutMici
from openpilot.selfdrive.ui.sunnypilot.mici.layouts.models import ModelsLayoutMici
from openpilot.selfdrive.ui.sunnypilot.mici.layouts.laneful import LanefulLayoutMici
from openpilot.selfdrive.ui.ui_state import ui_state
from openpilot.system.ui.lib.application import gui_app, FontWeight
from openpilot.system.ui.lib.multilang import tr
@@ -50,6 +51,10 @@ class SettingsLayoutSP(OP.SettingsLayout):
models_btn = SettingsBigButton(tr("models"), "", gui_app.texture("../../sunnypilot/selfdrive/assets/offroad/icon_models.png", ICON_SIZE, ICON_SIZE))
models_btn.set_click_callback(lambda: gui_app.push_widget(models_panel))
laneful_panel = LanefulLayoutMici()
laneful_btn = SettingsBigButton(tr("laneful"), "", gui_app.texture("icons_mici/settings/device/lkas.png", ICON_SIZE, ICON_SIZE))
laneful_btn.set_click_callback(lambda: gui_app.push_widget(laneful_panel))
# onroad: enable button sits at the front (left of toggles)
self._enable_offroad_btn_onroad = BigCircleButton(self.icon_offroad_enable, red=True)
self._enable_offroad_btn_onroad.set_click_callback(lambda: self._handle_always_offroad(True))
@@ -67,7 +72,8 @@ class SettingsLayoutSP(OP.SettingsLayout):
items = self._scroller._items.copy()
items.insert(1, models_btn)
items.insert(5, sunnylink_btn)
items.insert(2, laneful_btn)
items.insert(6, sunnylink_btn)
# front slots (only one ever visible at a time): exit-always-offroad, then enable-onroad
items.insert(0, self._enable_offroad_btn_onroad)
@@ -0,0 +1,117 @@
"""
Copyright (c) 2021-, sunnypilot, and a number of other contributors.
This file is part of sunnypilot and is licensed under the MIT License.
See the LICENSE.md file in the root directory for more details.
Laneful visuals: cyan lane-center target, thin white "after" path (model path bent by laneful's nudge),
and a top-center readout of the pull, from the curvature modeld publishes in modelDataV2SP.lanefulCurvature.
"""
import numpy as np
import pyray as rl
from openpilot.common.filter_simple import FirstOrderFilter
from openpilot.common.realtime import DT_MDL
from openpilot.selfdrive.ui.ui_state import ui_state
from openpilot.sunnypilot.modeld_v2.laneful import LOOKAHEAD_TIME, MIN_LOOKAHEAD, MAX_ERROR
from openpilot.system.ui.lib.application import gui_app, FontWeight
from openpilot.system.ui.lib.shader_polygon import draw_polygon
from openpilot.system.ui.lib.text_measure import measure_text_cached
CENTER_COLOR = (0, 200, 255)
AFTER_COLOR = (255, 255, 255)
class LanefulRenderer:
def __init__(self):
self._center_points = np.empty((0, 2), dtype=np.float32)
self._after_points = np.empty((0, 2), dtype=np.float32)
self._trust = 0.0
self._font = gui_app.font(FontWeight.BOLD)
# smoothed copies for the readout so the numbers don't flicker
self._pull_display = FirstOrderFilter(0.0, 0.5, DT_MDL)
self._trust_display = FirstOrderFilter(0.0, 0.5, DT_MDL)
self._alpha = FirstOrderFilter(0.0, 0.3, DT_MDL) # fades that hoe
self._readout_rect: rl.Rectangle | None = None
self._settings_page = None
def update(self, renderer, max_idx: int) -> None:
"""Called from the model renderer's update with its lane lines and path already in raw points."""
laneful_curvature = ui_state.sm['modelDataV2SP'].lanefulCurvature
self._alpha.update(float(laneful_curvature != 0.0))
left, right = renderer._lane_lines[1].raw_points, renderer._lane_lines[2].raw_points
stds = list(ui_state.sm['modelV2'].laneLineStds)
if self._alpha.x < 0.01 or len(left) == 0 or len(right) != len(left) or len(stds) < 3:
self._center_points = np.empty((0, 2), dtype=np.float32)
self._after_points = np.empty((0, 2), dtype=np.float32)
return
probs = renderer._lane_line_probs
l_prob = float(probs[1] * np.interp(stds[1], [0.15, 0.3], [1.0, 0.0]))
r_prob = float(probs[2] * np.interp(stds[2], [0.15, 0.3], [1.0, 0.0]))
width = np.clip(right[:, 1] - left[:, 1], 2.8, 4.5) if l_prob * r_prob > 0.5 else 3.7
center = left.copy()
center[:, 1] = (l_prob * (left[:, 1] + width / 2) + r_prob * (right[:, 1] - width / 2)) / (l_prob + r_prob + 1e-4)
self._trust = l_prob + r_prob - l_prob * r_prob
self._center_points = renderer._map_line_to_polygon(center, 0.1, 0.0, max_idx)
# "after" path: model path bent by laneful's curvature, ending at the lookahead
path = renderer._path.raw_points
lookahead = max(ui_state.sm['carState'].vEgo * LOOKAHEAD_TIME, MIN_LOOKAHEAD)
self._pull_display.update(laneful_curvature * lookahead ** 2 / 2) # how far laneful moves the car at the lookahead
self._trust_display.update(self._trust)
after = path.copy()
after[:, 1] += laneful_curvature * path[:, 0] ** 2 / 2
self._after_points = renderer._map_line_to_polygon(after, 0.15, renderer._path_offset_z,
renderer._get_path_length_idx(path[:, 0], lookahead))
def _color(self, rgb, alpha: float) -> rl.Color:
return rl.Color(*rgb, int(alpha * self._alpha.x))
def draw(self, rect: rl.Rectangle) -> None:
if self._center_points.size and self._trust > 0.05:
draw_polygon(rect, self._center_points, self._color(CENTER_COLOR, np.clip(self._trust, 0.2, 1.0) * 255))
self._readout_rect = None
if self._after_points.size:
draw_polygon(rect, self._after_points, self._color(AFTER_COLOR, 200))
self._draw_readout(rect)
def handle_tap(self, pos) -> bool:
"""Tapping the readout opens the laneful settings page. Returns True if the tap was consumed."""
r = self._readout_rect
if r is None or not (r.x - 20 <= pos.x <= r.x + r.width + 20 and r.y - 20 <= pos.y <= r.y + r.height + 20):
return False
if self._settings_page is None:
from openpilot.selfdrive.ui.sunnypilot.mici.layouts.laneful import LanefulLayoutMici
self._settings_page = LanefulLayoutMici()
gui_app.push_widget(self._settings_page)
return True
def _draw_readout(self, rect: rl.Rectangle) -> None:
"""Top-center pill: pull toward lane center in cm at the lookahead, arrow = side,
bar grows from center toward the pull (full at the cap), brighter with more lane line trust."""
pull, trust = self._pull_display.x, self._trust_display.x
w, h = 190, 76
x, y = rect.x + (rect.width - w) / 2, rect.y + 10
cx, cy = x + w / 2, y + 30
self._readout_rect = rl.Rectangle(x, y, w, h)
rl.draw_rectangle_rounded(self._readout_rect, 0.5, 12, self._color((0, 0, 0), 170))
text = f"{abs(pull) * 100:.0f}"
text_w = measure_text_cached(self._font, text, 44, 0).x
rl.draw_text_ex(self._font, text, rl.Vector2(cx - text_w / 2, cy - 24), 44, 0, self._color((255, 255, 255), 255))
active = self._color(CENTER_COLOR, np.clip(abs(pull) / 0.1, 0.0, 1.0) * 255)
idle = self._color((255, 255, 255), 40)
lx, rx = x + 18, x + w - 18
rl.draw_triangle(rl.Vector2(lx, cy), rl.Vector2(lx + 16, cy + 12), rl.Vector2(lx + 16, cy - 12), active if pull < 0 else idle)
rl.draw_triangle(rl.Vector2(rx - 16, cy - 12), rl.Vector2(rx - 16, cy + 12), rl.Vector2(rx, cy), active if pull > 0 else idle)
bar = rl.Rectangle(x + 24, y + h - 16, w - 48, 6)
rl.draw_rectangle_rounded(bar, 1.0, 6, self._color((255, 255, 255), 40))
rl.draw_rectangle(int(cx - 1), int(bar.y - 2), 2, int(bar.height + 4), self._color((255, 255, 255), 120))
fill = bar.width / 2 * float(np.clip(abs(pull) / MAX_ERROR, 0.0, 1.0))
if fill > 1:
fill_x = cx if pull > 0 else cx - fill
rl.draw_rectangle_rounded(rl.Rectangle(fill_x, bar.y, fill, bar.height), 1.0, 6,
self._color(CENTER_COLOR, np.clip(0.3 + 0.7 * trust, 0.0, 1.0) * 255))
@@ -6,6 +6,7 @@ See the LICENSE.md file in the root directory for more details.
"""
import pyray as rl
from openpilot.selfdrive.ui.ui_state import UIStatus
from openpilot.selfdrive.ui.sunnypilot.mici.onroad.laneful import LanefulRenderer
from openpilot.selfdrive.ui.sunnypilot.onroad.rainbow_path import RainbowPath
LANE_LINE_COLORS_SP = {
@@ -17,3 +18,4 @@ LANE_LINE_COLORS_SP = {
class ModelRendererSP:
def __init__(self):
self.rainbow_path = RainbowPath()
self.laneful = LanefulRenderer()
@@ -36,7 +36,7 @@ class UIStateSP:
self.is_sp_release: bool = self.params.get_bool("IsReleaseSpBranch")
self.sm_services_ext = [
"modelManagerSP", "selfdriveStateSP", "longitudinalPlanSP", "backupManagerSP",
"lateralTorqueParameters", "carStateSP", "liveMapDataSP", "carParamsSP", "lateralDelay"
"lateralTorqueParameters", "carStateSP", "liveMapDataSP", "carParamsSP", "lateralDelay", "modelDataV2SP"
]
self.sunnylink_state = SunnylinkState()
-4
View File
@@ -3,7 +3,3 @@ from openpilot.common.basedir import BASEDIR
MAPD_BIN_DIR = os.path.join(BASEDIR, 'openpilot', 'third_party/mapd_pfeiferj')
MAPD_PATH = os.path.join(MAPD_BIN_DIR, 'mapd')
# mapd still runs (OSM downloads) but has no position source since ubloxd owns LastGPSPosition;
# map-based features stay off until mapd is rebuilt
MAPD_AVAILABLE = False
@@ -4,6 +4,7 @@ Copyright (c) 2021-, Haibin Wen, sunnypilot, and a number of other contributors.
This file is part of sunnypilot and is licensed under the MIT License.
See the LICENSE.md file in the root directory for more details.
"""
import json
import math
import platform
@@ -26,6 +27,21 @@ class OsmMapData(BaseMapData):
self.last_bearing = math.degrees(location.calibratedOrientationNED.value[2])
self.last_position = Coordinate(location.positionGeodetic.value[0], location.positionGeodetic.value[1])
if self.last_position is None:
return
params = {
"latitude": self.last_position.latitude,
"longitude": self.last_position.longitude,
}
if self.last_bearing is not None:
params['bearing'] = self.last_bearing
# mapd reads its position from the memory params as JSON, so write it for the mapd binary.
# LastGPSPosition is registered as BYTES (ubloxd owns the persistent copy for pigeond),
# so the JSON payload has to be encoded here.
self.mem_params.put("LastGPSPosition", json.dumps(params).encode(), block=True)
def get_current_speed_limit(self) -> float:
return float(self.mem_params.get("MapSpeedLimit") or 0.0)
@@ -121,6 +121,10 @@ def update_osm_db() -> None:
if not mem_params.get("OSMDownloadBounds"):
mem_params.put("OSMDownloadBounds", "", block=True)
# mapd reads LastGPSPosition from the memory params as JSON, and it is registered as BYTES upstream
if not mem_params.get("LastGPSPosition"):
mem_params.put("LastGPSPosition", b"{}", block=True)
def main_thread():
update_installed_version(VERSION, params)
@@ -0,0 +1,70 @@
"""
Copyright (c) 2021-, Haibin Wen, sunnypilot, and a number of other contributors.
This file is part of sunnypilot and is licensed under the MIT License.
See the LICENSE.md file in the root directory for more details.
"""
import json
import math
import platform
import openpilot.cereal.messaging as messaging
from openpilot.cereal import log
from openpilot.common.params import Params
from openpilot.common.test import OpenpilotTestCase
from openpilot.sunnypilot.mapd.live_map_data.osm_map_data import OsmMapData
class TestOsmMapData(OpenpilotTestCase):
"""The mapd binary reads its position from the memory params as JSON, so mapd_manager has to feed it."""
LATITUDE = 32.875134
LONGITUDE = -117.209777
ALTITUDE = 42.0
BEARING = 90.0
def setup_method(self):
self.mem_params = Params("/dev/shm/params") if platform.system() != "Darwin" else Params()
self.mem_params.remove("LastGPSPosition")
self.map_data = OsmMapData()
self.pm = messaging.PubMaster(['liveLocationKalman'])
def location_message(self, status: log.LiveLocationKalman.Status, position_valid: bool):
msg = messaging.new_message('liveLocationKalman', valid=True)
location = msg.liveLocationKalman
location.status = status
location.positionGeodetic = {'value': [self.LATITUDE, self.LONGITUDE, self.ALTITUDE], 'valid': position_valid}
location.calibratedOrientationNED = {'value': [0.0, 0.0, math.radians(self.BEARING)], 'valid': True}
return msg
def send_location(self, status: log.LiveLocationKalman.Status, position_valid: bool) -> None:
# the first exchange synchronizes the PUB/SUB connection, the second one is actually received
self.pm.send('liveLocationKalman', self.location_message(status, position_valid))
self.map_data.sm.update(1000)
self.pm.send('liveLocationKalman', self.location_message(status, position_valid))
self.map_data.sm.update(1000)
def read_position(self) -> dict:
value = self.mem_params.get("LastGPSPosition")
self.assertIsNotNone(value, "LastGPSPosition was not written for mapd")
return json.loads(value)
def test_writes_position_for_mapd(self):
self.send_location(log.LiveLocationKalman.Status.valid, True)
self.map_data.tick()
position = self.read_position()
self.assertAlmostEqual(position['latitude'], self.LATITUDE, delta=1e-6)
self.assertAlmostEqual(position['longitude'], self.LONGITUDE, delta=1e-6)
self.assertAlmostEqual(position['bearing'], self.BEARING, delta=1e-6)
def test_invalid_localizer_keeps_last_known_position(self):
self.send_location(log.LiveLocationKalman.Status.valid, True)
self.map_data.tick()
self.send_location(log.LiveLocationKalman.Status.uninitialized, False)
self.map_data.tick()
position = self.read_position()
self.assertAlmostEqual(position['latitude'], self.LATITUDE, delta=1e-6)
self.assertAlmostEqual(position['longitude'], self.LONGITUDE, delta=1e-6)
+121
View File
@@ -0,0 +1,121 @@
"""
Copyright (c) 2021-, Haibin Wen, sunnypilot, and a number of other contributors.
This file is part of sunnypilot and is licensed under the MIT License.
See the LICENSE.md file in the root directory for more details.
"""
import numpy as np
from openpilot.common.filter_simple import FirstOrderFilter
from openpilot.common.realtime import DT_MDL
from openpilot.sunnypilot.modeld_v2.constants import ModelConstants
LANE_WIDTH_DEFAULT = 3.6 # m (reseeded to model's lane width upon initialization)
LANE_WIDTH_CLIP = (2.8, 4.5) # m
LOOKAHEAD_TIME = 1.5 # s
MIN_LOOKAHEAD = 10.0 # m
MIN_SPEED = 5.0 # m/s
LINE_STD = (0.2, 0.6)
POINT_STD = 0.1
MAX_ERROR = 1.0
YIELD = (0.2, 0.45)
X_IDXS = np.array(ModelConstants.X_IDXS)
class Laneful: # TODO-SP: Rename this to blendful or something similar because it is not pure laneful anymore.
def __init__(self):
self.lane_width = FirstOrderFilter(LANE_WIDTH_DEFAULT, 10.0, DT_MDL, initialized=False)
self.line_gone = FirstOrderFilter(np.zeros(2), 2.0, DT_MDL)
self.line_probs_slow = FirstOrderFilter(np.zeros(2), 3.0, DT_MDL)
self.line_probs = FirstOrderFilter(np.zeros(2), 0.5, DT_MDL)
self.usual_offset = FirstOrderFilter(0.0, 10.0, DT_MDL, initialized=False)
self.going_around = False
self.trust = 0.0
self.model_curvature = 0.0
self.curvature = 0.0
def update(self, model_output: dict[str, np.ndarray], v_ego: float, active: bool, model_curvature: float) -> float:
fading = not active or v_ego < MIN_SPEED
if fading:
self.trust = 0.0
self.usual_offset.initialized = False
self.lane_width.initialized = False
self.going_around = False
self.model_curvature = model_curvature
target = 0.0 if fading else self._target(model_output, v_ego, model_curvature)
releasing = not fading and (abs(target) < abs(self.curvature) or target * self.curvature < 0)
step = (2.0 if releasing else 0.5) / max(v_ego, 1.0) ** 2 * DT_MDL # jerk over 1 second
self.curvature = float(np.clip(target, self.curvature - step, self.curvature + step))
return self.curvature
def _target(self, model_output: dict[str, np.ndarray], v_ego: float, model_curvature: float) -> float:
if v_ego < MIN_SPEED or 'lane_lines' not in model_output:
return 0.0
lookahead = max(v_ego * LOOKAHEAD_TIME, MIN_LOOKAHEAD)
lines = model_output['lane_lines'][0, :, :, 0]
stds = model_output['lane_lines_stds'][0, :, :, 0]
probs = self.line_probs.update(model_output['lane_lines_prob'][0, 1::2][1:3])
gone = self.line_gone.update((model_output['lane_lines_prob'][0, 1::2][1:3] < 0.3).astype(float))
dropping = bool(np.any(probs < 0.6 * self.line_probs_slow.update(model_output['lane_lines_prob'][0, 1::2][1:3])))
l_prob = float(probs[0] * np.interp(np.interp(0.5 * lookahead, X_IDXS, stds[1]), LINE_STD, [1.0, 0.0]))
r_prob = float(probs[1] * np.interp(np.interp(0.5 * lookahead, X_IDXS, stds[2]), LINE_STD, [1.0, 0.0]))
# one line steadily on its own still centers at half say conf. a line that is disappearing gives control back to laneless
if gone[1] > 0.8 and l_prob > 0.5:
lane_trust = l_prob / 2
elif gone[0] > 0.8 and r_prob > 0.5:
lane_trust = r_prob / 2
elif dropping:
lane_trust = min(l_prob, r_prob)
else:
lane_trust = l_prob + r_prob - l_prob * r_prob
if lane_trust <= 0.0:
self.trust = 0.0
return 0.0
win = (X_IDXS >= 0.5 * lookahead) & (X_IDXS <= 1.5 * lookahead)
x = X_IDXS[win]
half_width = self.lane_width.x / 2
if l_prob * r_prob > 0.5:
width = np.interp(lookahead, X_IDXS, lines[2]) - np.interp(lookahead, X_IDXS, lines[1])
self.lane_width.update(float(np.clip(width, *LANE_WIDTH_CLIP)))
half_width = np.clip(lines[2, win] - lines[1, win], *LANE_WIDTH_CLIP) / 2
l_var = stds[1, win] ** 2 / max(l_prob, 1e-4)
r_var = stds[2, win] ** 2 / max(r_prob, 1e-4)
center = (r_var * (lines[1, win] + half_width) + l_var * (lines[2, win] - half_width)) / (l_var + r_var)
weight = 1.0 / (l_var * r_var / (l_var + r_var) + POINT_STD ** 2)
# Fit curvature to place the plant in center: e ~ dk x^2 / 2
plan_x = np.interp(x, model_output['plan'][0, :, 0], model_output['plan'][0, :, 1])
plan_share = np.interp(abs(model_curvature) * lookahead ** 2 / 2, [0.5, 2.0], [0.3, 0.5]) # blending up to 50% plan with action during sharp curvature
error = np.clip(center - ((1 - plan_share) * model_curvature * x ** 2 / 2 + plan_share * plan_x), -1.0, 1.0)
dk = 2.0 * np.sum(weight * error * x ** 2) / np.sum(weight * x ** 4)
# A model planning to end up further from its usual spot in the lane than the plant is now is likely going around something
hw_now = np.clip(lines[2, 0] - lines[1, 0], *LANE_WIDTH_CLIP) / 2 if l_prob * r_prob > 0.5 else self.lane_width.x / 2
center_now = (l_prob * (lines[1, 0] + hw_now) + r_prob * (lines[2, 0] - hw_now)) / (l_prob + r_prob)
plan_y = np.interp(lookahead, model_output['plan'][0, :, 0], model_output['plan'][0, :, 1])
offset = plan_y - np.interp(lookahead, x, center)
if min(gone) > 0.5: # both lines gone: turns, intersections, relearn ideal model position
self.usual_offset.initialized = False
usual = self.usual_offset.x if self.usual_offset.initialized else offset
swerve = abs(offset - usual) - 0.25 * abs(model_curvature) * lookahead ** 2 / 2
away = swerve - abs(-center_now - usual)
lane_curvature = 2.0 * np.polyfit(x, center, 2)[0]
inside_curve = abs(lane_curvature) * lookahead ** 2 / 2 > 0.1 and (offset - usual) * lane_curvature > 0
if inside_curve:
self.going_around = False
elif away > YIELD[0]:
self.going_around = True
elif swerve < YIELD[0] / 2:
self.going_around = False
self.usual_offset.update_alpha(20.0 if self.going_around else 10.0)
self.usual_offset.update(offset)
if inside_curve:
lane_trust *= np.interp(abs(offset) - abs(center_now) - 0.25 * abs(model_curvature) * lookahead ** 2 / 2, (0.5, 1.0), [1.0, 0.0])
else:
lane_trust *= np.interp(swerve, (YIELD[0] / 2, YIELD[0]), [1.0, 0.0]) if self.going_around else np.interp(away, YIELD, [1.0, 0.0])
self.trust = lane_trust if lane_trust < self.trust else self.trust + (lane_trust - self.trust) * DT_MDL / (1.5 + DT_MDL)
return float(self.trust * dk)
+16 -2
View File
@@ -7,6 +7,7 @@ See the LICENSE.md file in the root directory for more details.
"""
from collections.abc import Callable
from functools import partial
import gc
import os
os.environ['GMMU'] = '0'
@@ -39,6 +40,7 @@ from openpilot.selfdrive.modeld.modeld import ChestnutGpuState
from openpilot.sunnypilot.modeld_v2.fill_model_msg import fill_model_msg, fill_pose_msg, PublishState, get_curvature_from_output
from openpilot.sunnypilot.modeld_v2.parse_model_outputs import Parser
from openpilot.sunnypilot.modeld_v2.laneful import Laneful
from openpilot.sunnypilot.modeld_v2.constants import ModelConstants, Plan
from openpilot.sunnypilot.modeld_v2.meta_helper import load_meta_constants
from openpilot.sunnypilot.modeld_v2.camera_offset_helper import CameraOffsetHelper
@@ -228,7 +230,8 @@ class ModelState(ModelStateBase):
return outputs
def get_action_from_model(self, model_output: dict[str, np.ndarray], prev_action: log.ModelDataV2.Action,
lat_action_t: float, long_action_t: float, v_ego: float) -> log.ModelDataV2.Action:
lat_action_t: float, long_action_t: float, v_ego: float,
laneful: Callable[[float], float] | None = None) -> log.ModelDataV2.Action:
if 'action' not in model_output:
plan = model_output['plan'][0]
desired_accel = get_accel_from_plan(plan[:, Plan.VELOCITY][:, 0], plan[:, Plan.ACCELERATION][:, 0], self.constants.T_IDXS,
@@ -240,6 +243,8 @@ class ModelState(ModelStateBase):
else:
desired_accel = model_output['action'][0, 1]
desired_curvature = model_output['action'][0, 0] / (max(1.0, v_ego))**2
if laneful is not None:
desired_curvature += laneful(desired_curvature)
stop = v_ego < 0.3 and desired_accel < 0.1
desired_accel = smooth_value(desired_accel, prev_action.desiredAcceleration, self.LONG_SMOOTH_SECONDS)
@@ -366,6 +371,8 @@ def main(demo=False):
DH = DesireHelper()
meta_constants = load_meta_constants()
RELC = RoadEdgeLaneChangeController()
laneful = Laneful()
laneful_enabled = False
while True:
# Keep receiving frames until we are at least 1 frame ahead of previous extra frame
@@ -409,6 +416,7 @@ def main(demo=False):
model.lat_delay = get_lat_delay(params, sm["lateralDelay"].lateralDelay)
model.PLANPLUS_CONTROL = params.get("PlanplusControl", return_default=True)
camera_offset_helper.set_offset(params.get("CameraOffset", return_default=True))
laneful_enabled = params.get_bool("Laneful")
lat_delay = model.lat_delay + model.LAT_SMOOTH_SECONDS
if sm.updated["extrinsicsCalibration"] and sm.seen['narrowRoadCameraState'] and sm.seen['deviceState']:
device_from_calib_euler = np.array(sm["extrinsicsCalibration"].rpyCalib, dtype=np.float32)
@@ -482,7 +490,9 @@ def main(demo=False):
if not sm['carControl'].latActive:
prev_action.desiredCurvature = sm['controlsState'].curvature
action = model.get_action_from_model(model_output, prev_action, lat_action_t, long_action_t, v_ego)
laneful_active = laneful_enabled and desire == log.Desire.none and DH.lane_change_state == log.LaneChangeState.off
action = model.get_action_from_model(model_output, prev_action, lat_action_t, long_action_t, v_ego,
partial(laneful.update, model_output, v_ego, laneful_active))
prev_action = action
fill_model_msg(drivingdata_send, modelv2_send, model_output, action,
publish_state, meta_main.frame_id, meta_extra.frame_id, frame_id,
@@ -499,6 +509,10 @@ def main(demo=False):
modelv2_send.modelV2.meta.laneChangeDirection = DH.lane_change_direction
mdv2sp_send.valid = modelv2_send.valid
mdv2sp_send.modelDataV2SP.laneTurnDirection = DH.lane_turn_direction
mdv2sp_send.modelDataV2SP.lanefulCurvature = laneful.curvature
mdv2sp_send.modelDataV2SP.lanefulTrust = float(laneful.trust)
mdv2sp_send.modelDataV2SP.modelCurvature = float(laneful.model_curvature)
mdv2sp_send.modelDataV2SP.lanefulGoingAround = bool(laneful.going_around)
drivingdata_send.drivingModelData.meta.laneChangeState = DH.lane_change_state
drivingdata_send.drivingModelData.meta.laneChangeDirection = DH.lane_change_direction
@@ -9,7 +9,6 @@ from openpilot.common.params import Params
from openpilot.common.realtime import DT_MDL
from openpilot.selfdrive.car.cruise import V_CRUISE_UNSET
from openpilot.sunnypilot import PARAMS_UPDATE_PERIOD
from openpilot.sunnypilot.mapd import MAPD_AVAILABLE
from openpilot.sunnypilot.navd.helpers import Coordinate
from openpilot.sunnypilot.selfdrive.controls.lib.smart_cruise_control import MIN_V
@@ -76,7 +75,7 @@ class SmartCruiseControlMap:
def __init__(self):
self.params = Params()
self.mem_params = Params("/dev/shm/params") if platform.system() != "Darwin" else self.params
self.enabled = MAPD_AVAILABLE and self.params.get_bool("SmartCruiseControlMap")
self.enabled = self.params.get_bool("SmartCruiseControlMap")
self.long_enabled = False
self.long_override = False
self.is_enabled = False
@@ -102,7 +101,7 @@ class SmartCruiseControlMap:
def update_params(self):
if self.frame % int(PARAMS_UPDATE_PERIOD / DT_MDL) == 0:
self.enabled = MAPD_AVAILABLE and self.params.get_bool("SmartCruiseControlMap")
self.enabled = self.params.get_bool("SmartCruiseControlMap")
def update_calculations(self, sm: messaging.SubMaster) -> None:
gps = sm[self.gps_location_service]
@@ -8,7 +8,7 @@ import json
import math
import platform
from types import SimpleNamespace
from unittest.mock import MagicMock, patch
from unittest.mock import MagicMock
from openpilot.cereal import custom
from openpilot.common.params import Params
@@ -23,8 +23,6 @@ MapState = VisionState = custom.LongitudinalPlanSP.SmartCruiseControl.MapState
class TestSmartCruiseControlMap(OpenpilotTestCase):
def setup_method(self):
self.mapd_patch = patch("openpilot.sunnypilot.selfdrive.controls.lib.smart_cruise_control.map_controller.MAPD_AVAILABLE", True)
self.mapd_patch.start()
self.params = Params()
self.mem_params = Params("/dev/shm/params") if platform.system() != "Darwin" else self.params
self.reset_params()
@@ -32,9 +30,6 @@ class TestSmartCruiseControlMap(OpenpilotTestCase):
self.sm = MagicMock()
self.sm.__getitem__.return_value = SimpleNamespace(latitude=0.0, longitude=0.0)
def teardown_method(self):
self.mapd_patch.stop()
def reset_params(self):
self.params.put_bool("SmartCruiseControlMap", True, block=True)
@@ -55,14 +50,6 @@ class TestSmartCruiseControlMap(OpenpilotTestCase):
assert self.scc_m.state == VisionState.disabled
assert not self.scc_m.is_active
def test_mapd_unavailable(self):
self.mapd_patch.stop()
self.scc_m = SmartCruiseControlMap()
for _ in range(int(10. / DT_MDL)):
self.scc_m.update(self.sm, True, False, 0., 0., 0.)
assert self.scc_m.state == VisionState.disabled
self.mapd_patch.start()
def test_disabled(self):
for _ in range(int(10. / DT_MDL)):
self.scc_m.update(self.sm, False, False, 0., 0., 0.)
@@ -13,7 +13,6 @@ from openpilot.common.gps import get_gps_location_service
from openpilot.common.params import Params
from openpilot.common.realtime import DT_MDL
from openpilot.sunnypilot import PARAMS_UPDATE_PERIOD, get_sanitize_int_param
from openpilot.sunnypilot.mapd import MAPD_AVAILABLE
from openpilot.sunnypilot.selfdrive.controls.lib.speed_limit import LIMIT_MAX_MAP_DATA_AGE, LIMIT_ADAPT_ACC
from openpilot.sunnypilot.selfdrive.controls.lib.speed_limit.common import Policy, OffsetType
@@ -49,8 +48,6 @@ class SpeedLimitResolver:
Policy.max().value,
self.params
)
if not MAPD_AVAILABLE:
self.policy = Policy.car_state_only
self._policy_to_sources_map = {
Policy.car_state_only: [SpeedLimitSource.car],
Policy.map_data_only: [SpeedLimitSource.map],
@@ -94,7 +91,7 @@ class SpeedLimitResolver:
def update_params(self):
if self.frame % int(PARAMS_UPDATE_PERIOD / DT_MDL) == 0:
self.policy = self.params.get("SpeedLimitPolicy", return_default=True) if MAPD_AVAILABLE else Policy.car_state_only
self.policy = self.params.get("SpeedLimitPolicy", return_default=True)
self.is_metric = self.params.get_bool("IsMetric")
self.offset_type = self.params.get("SpeedLimitOffsetType", return_default=True)
self.offset_value = self.params.get("SpeedLimitValueOffset", return_default=True)
@@ -15,7 +15,6 @@ from opendbc.sunnypilot.car.tesla.values import TeslaFlagsSP
from openpilot.common.params import Params
from openpilot.common.swaglog import cloudlog
from openpilot.common.hardware import HARDWARE
from openpilot.sunnypilot.mapd import MAPD_AVAILABLE
# Wire-protocol version for the capabilities payload. Bump on breaking changes
@@ -44,7 +43,6 @@ CAPABILITY_FIELDS = (
"device_type",
"subaru_has_sng",
"hyundai_alpha_long_available",
"mapd_available",
)
CAPABILITY_LABELS: dict[str, str] = {
@@ -67,7 +65,6 @@ CAPABILITY_LABELS: dict[str, str] = {
"device_type": "Device type",
"subaru_has_sng": "Subaru Stop-and-Go available",
"hyundai_alpha_long_available": "Hyundai Alpha Longitudinal available",
"mapd_available": "Map data available",
}
# Explicit defaults for non-boolean capability fields
@@ -135,7 +132,6 @@ def generate_capabilities(params: Params | None = None) -> dict:
caps["is_sp_release"] = params.get_bool("IsReleaseSpBranch")
caps["is_development"] = params.get_bool("IsDevelopmentBranch")
caps["stock_longitudinal"] = params.get_bool("ToyotaEnforceStockLongitudinal")
caps["mapd_available"] = MAPD_AVAILABLE
bundle = params.get("CarPlatformBundle")
bundle_brand = _bundle_field(bundle, "brand")
@@ -156,7 +156,7 @@ The tables below describe the **compiled** `settings_ui.json` schema — what th
**Enablement rules**: Grayed out (disabled) when rules fail. Frontend shows a contextual badge explaining why.
**Capability fields** (referenced in rules): `has_longitudinal_control`, `has_icbm`, `icbm_available`, `torque_allowed`, `brand`, `pcm_cruise`, `alpha_long_available`, `steer_control_type`, `has_bsm`, `is_release`, `is_sp_release`, `is_development`, `tesla_has_vehicle_bus`, `has_stop_and_go`, `stock_longitudinal`, `mapd_available`
**Capability fields** (referenced in rules): `has_longitudinal_control`, `has_icbm`, `icbm_available`, `torque_allowed`, `brand`, `pcm_cruise`, `alpha_long_available`, `steer_control_type`, `has_bsm`, `is_release`, `is_sp_release`, `is_development`, `tesla_has_vehicle_bus`, `has_stop_and_go`, `stock_longitudinal`
---
@@ -857,47 +857,19 @@
},
{
"value": 1,
"label": "Map Data Only",
"enablement": [
{
"type": "capability",
"field": "mapd_available",
"equals": true
}
]
"label": "Map Data Only"
},
{
"value": 2,
"label": "Car State Priority",
"enablement": [
{
"type": "capability",
"field": "mapd_available",
"equals": true
}
]
"label": "Car State Priority"
},
{
"value": 3,
"label": "Map Data Priority",
"enablement": [
{
"type": "capability",
"field": "mapd_available",
"equals": true
}
]
"label": "Map Data Priority"
},
{
"value": 4,
"label": "Combined",
"enablement": [
{
"type": "capability",
"field": "mapd_available",
"equals": true
}
]
"label": "Combined"
}
]
},
@@ -1029,11 +1001,6 @@
}
],
"enablement": [
{
"type": "capability",
"field": "mapd_available",
"equals": true
},
{
"type": "any",
"conditions": [
@@ -167,28 +167,12 @@ sections:
label: Car State Only
- value: 1
label: Map Data Only
enablement:
- type: capability
field: mapd_available
equals: true
- value: 2
label: Car State Priority
enablement:
- type: capability
field: mapd_available
equals: true
- value: 3
label: Map Data Priority
enablement:
- type: capability
field: mapd_available
equals: true
- value: 4
label: Combined
enablement:
- type: capability
field: mapd_available
equals: true
- key: SpeedLimitOffsetType
widget: multiple_button
title: Speed Limit Offset Type
@@ -262,9 +246,6 @@ sections:
field: has_icbm
equals: true
enablement:
- type: capability
field: mapd_available
equals: true
- type: any
conditions:
- type: capability