Merge branch 'upstream/master' into sync-20241712

# Conflicts:
#	.github/workflows/ci_weekly_run.yaml
#	opendbc_repo
#	panda
#	selfdrive/test/process_replay/ref_commit
This commit is contained in:
Jason Wen
2024-12-17 06:16:06 -05:00
66 changed files with 883 additions and 477 deletions

View File

@@ -8,7 +8,7 @@ assignees: ''
**Checklist**
- [ ] added entry to CAR in selfdrive/car/*/values.py and ran `selfdrive/opcar/docs.py` to generate new docs
- [ ] added entry to CAR in selfdrive/car/*/values.py and ran `selfdrive/car/docs.py` to generate new docs
- [ ] test route added to [routes.py](https://github.com/commaai/openpilot/blob/master/selfdrive/car/tests/routes.py)
- [ ] route with openpilot:
- [ ] route with stock system:

View File

@@ -44,7 +44,7 @@ Explain how you tested this bug fix.
**Checklist**
- [ ] added entry to CAR in selfdrive/car/*/values.py and ran `selfdrive/opcar/docs.py` to generate new docs
- [ ] added entry to CAR in selfdrive/car/*/values.py and ran `selfdrive/car/docs.py` to generate new docs
- [ ] test route added to [routes.py](https://github.com/commaai/openpilot/blob/master/selfdrive/car/tests/routes.py)
- [ ] route with openpilot:
- [ ] route with stock system:

View File

@@ -15,7 +15,3 @@ jobs:
uses: sunnypilot/sunnypilot/.github/workflows/selfdrive_tests.yaml@master
with:
run_number: ${{ inputs.run_number }}
tools_tests:
uses: sunnypilot/sunnypilot/.github/workflows/tools_tests.yaml@master
with:
run_number: ${{ inputs.run_number }}

View File

@@ -18,7 +18,7 @@ concurrency:
jobs:
docs:
name: build docs
runs-on: ubuntu-latest
runs-on: ubuntu-24.04
steps:
- uses: commaai/timeout@v1

View File

@@ -239,7 +239,7 @@ jobs:
uses: actions/cache@v4
with:
path: .ci_cache/comma_download_cache
key: car_models-${{ hashFiles('selfdrive/car/tests/test_models.py', 'selfdrive/car/tests/routes.py') }}-${{ matrix.job }}
key: car_models-${{ hashFiles('selfdrive/car/tests/test_models.py', 'opendbc/car/tests/routes.py') }}-${{ matrix.job }}
- name: Build openpilot
run: ${{ env.RUN }} "scons -j$(nproc)"
- name: Test car models
@@ -317,6 +317,7 @@ jobs:
runs-on:
- ${{ ((github.repository == 'commaai/openpilot') && ((github.event_name != 'pull_request') || (github.event.pull_request.head.repo.full_name == 'commaai/openpilot'))) && 'namespace-profile-amd64-8x16' || 'ubuntu-24.04' }}
- ${{ ((github.repository == 'commaai/openpilot') && ((github.event_name != 'pull_request') || (github.event.pull_request.head.repo.full_name == 'commaai/openpilot'))) && 'namespace-experiments:docker.builds.local-cache=separate' || 'ubuntu-24.04' }}
if: (github.repository == 'commaai/openpilot') && ((github.event_name != 'pull_request') || (github.event.pull_request.head.repo.full_name == 'commaai/openpilot'))
steps:
- uses: actions/checkout@v4
with:

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@@ -1,9 +1,9 @@
FROM ghcr.io/commaai/openpilot-base:latest
ENV PYTHONUNBUFFERED 1
ENV PYTHONUNBUFFERED=1
ENV OPENPILOT_PATH /home/batman/openpilot
ENV PYTHONPATH ${OPENPILOT_PATH}:${PYTHONPATH}
ENV OPENPILOT_PATH=/home/batman/openpilot
ENV PYTHONPATH=${OPENPILOT_PATH}:${PYTHONPATH}
RUN mkdir -p ${OPENPILOT_PATH}
WORKDIR ${OPENPILOT_PATH}

View File

@@ -1,6 +1,6 @@
FROM ubuntu:24.04
ENV PYTHONUNBUFFERED 1
ENV PYTHONUNBUFFERED=1
ENV DEBIAN_FRONTEND=noninteractive
RUN apt-get update && \
@@ -8,9 +8,9 @@ RUN apt-get update && \
rm -rf /var/lib/apt/lists/*
RUN sed -i -e 's/# en_US.UTF-8 UTF-8/en_US.UTF-8 UTF-8/' /etc/locale.gen && locale-gen
ENV LANG en_US.UTF-8
ENV LANGUAGE en_US:en
ENV LC_ALL en_US.UTF-8
ENV LANG=en_US.UTF-8
ENV LANGUAGE=en_US:en
ENV LC_ALL=en_US.UTF-8
COPY tools/install_ubuntu_dependencies.sh /tmp/tools/
RUN /tmp/tools/install_ubuntu_dependencies.sh && \
@@ -55,9 +55,9 @@ RUN mkdir -p /tmp/opencl-driver-intel && \
cd / && \
rm -rf /tmp/opencl-driver-intel
ENV NVIDIA_VISIBLE_DEVICES all
ENV NVIDIA_DRIVER_CAPABILITIES graphics,utility,compute
ENV QTWEBENGINE_DISABLE_SANDBOX 1
ENV NVIDIA_VISIBLE_DEVICES=all
ENV NVIDIA_DRIVER_CAPABILITIES=graphics,utility,compute
ENV QTWEBENGINE_DISABLE_SANDBOX=1
RUN dbus-uuidgen > /etc/machine-id

9
Jenkinsfile vendored
View File

@@ -79,6 +79,10 @@ def deviceStage(String stageName, String deviceType, List extra_env, def steps)
return
}
if (isReplay()) {
error("REPLAYING TESTS IS NOT ALLOWED. FIX THEM INSTEAD.")
}
def extra = extra_env.collect { "export ${it}" }.join('\n');
def branch = env.BRANCH_NAME ?: 'master';
def gitDiff = sh returnStdout: true, script: 'curl -s -H "Authorization: Bearer ${GITHUB_COMMENTS_TOKEN}" https://api.github.com/repos/commaai/openpilot/compare/master...${GIT_BRANCH} | jq .files[].filename || echo "/"', label: 'Getting changes'
@@ -123,6 +127,11 @@ def hasPathChanged(String gitDiff, List<String> paths) {
return false
}
def isReplay() {
def replayClass = "org.jenkinsci.plugins.workflow.cps.replay.ReplayCause"
return currentBuild.rawBuild.getCauses().any{ cause -> cause.toString().contains(replayClass) }
}
def setupCredentials() {
withCredentials([
string(credentialsId: 'azure_token', variable: 'AZURE_TOKEN'),

View File

@@ -38,7 +38,8 @@ Quick start: `bash <(curl -fsSL openpilot.comma.ai)`
</tr>
</table>
To start using openpilot in a car
Using openpilot in a car
------
To use openpilot in a car, you need four things:
@@ -49,6 +50,14 @@ To use openpilot in a car, you need four things:
We have detailed instructions for [how to install the harness and device in a car](https://comma.ai/setup). Note that it's possible to run openpilot on [other hardware](https://blog.comma.ai/self-driving-car-for-free/), although it's not plug-and-play.
### Branches
| branch | URL | description |
|------------------|----------------------------------------|-------------------------------------------------------------------------------------|
| `release3` | openilot.comma.ai | This is openpilot's release branch. |
| `release3-staging` | openpilot-test.comma.ai | This is the staging branch for releases. Use it to get new releases slightly early. |
| `nightly` | openpilot-nightly.comma.ai | This is the bleeding edge development branch. Do not expect this to be stable. |
| `nightly-dev` | installer.comma.ai/commaai/nightly-dev | Same as nightly, but includes experimental development features for some cars. |
To start developing openpilot
------

View File

@@ -2440,6 +2440,14 @@ struct Microphone {
filteredSoundPressureWeightedDb @2 :Float32;
}
struct Touch {
sec @0 :Int64;
usec @1 :Int64;
type @2 :UInt8;
code @3 :Int32;
value @4 :Int32;
}
struct Event {
logMonoTime @0 :UInt64; # nanoseconds
valid @67 :Bool = true;
@@ -2520,6 +2528,9 @@ struct Event {
logMessage @18 :Text;
errorLogMessage @85 :Text;
# touch frame
touch @135 :List(Touch);
# navigation
navInstruction @82 :NavInstruction;
navRoute @83 :NavRoute;

View File

@@ -22,6 +22,7 @@ _services: dict[str, tuple] = {
"temperatureSensor2": (True, 2., 200),
"gpsNMEA": (True, 9.),
"deviceState": (True, 2., 1),
"touch": (True, 20., 1),
"can": (True, 100., 2053), # decimation gives ~3 msgs in a full segment
"controlsState": (True, 100., 10),
"selfdriveState": (True, 100., 10),

View File

@@ -1,7 +1,7 @@
import numpy as np
from openpilot.common.transformations.orientation import rot_from_euler
from openpilot.common.transformations.camera import get_view_frame_from_calib_frame, view_frame_from_device_frame
from openpilot.common.transformations.camera import get_view_frame_from_calib_frame, view_frame_from_device_frame, _ar_ox_fisheye
# segnet
SEGNET_SIZE = (512, 384)
@@ -39,6 +39,13 @@ sbigmodel_intrinsics = np.array([
[0.0, sbigmodel_fl, 0.5 * (256 + MEDMODEL_CY)],
[0.0, 0.0, 1.0]])
DM_INPUT_SIZE = (1440, 960)
dmonitoringmodel_fl = _ar_ox_fisheye.focal_length
dmonitoringmodel_intrinsics = np.array([
[dmonitoringmodel_fl, 0.0, DM_INPUT_SIZE[0]/2],
[0.0, dmonitoringmodel_fl, DM_INPUT_SIZE[1]/2 - (_ar_ox_fisheye.height - DM_INPUT_SIZE[1])/2],
[0.0, 0.0, 1.0]])
bigmodel_frame_from_calib_frame = np.dot(bigmodel_intrinsics,
get_view_frame_from_calib_frame(0, 0, 0, 0))

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@@ -103,7 +103,7 @@ A supported vehicle is one that just works when you install a comma device. All
|Hyundai|Ioniq Plug-in Hybrid 2020-22|All|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 H 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=Ioniq Plug-in Hybrid 2020-22">Buy Here</a></sub></details>||
|Hyundai|Kona 2020|Smart Cruise Control (SCC)|openpilot available[<sup>1</sup>](#footnotes)|6 mph|0 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=Kona 2020">Buy Here</a></sub></details>||
|Hyundai|Kona Electric 2018-21|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 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=Kona Electric 2018-21">Buy Here</a></sub></details>||
|Hyundai|Kona Electric 2022-23|Smart Cruise Control (SCC)|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|<details><summary>Parts</summary><sub>- 1 Hyundai O 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=Kona Electric 2022-23">Buy Here</a></sub></details>||
|Hyundai|Kona Electric 2022-23|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 O 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=Kona Electric 2022-23">Buy Here</a></sub></details>||
|Hyundai|Kona Electric (with HDA II, Korea only) 2023[<sup>5</sup>](#footnotes)|Smart Cruise Control (SCC)|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|<details><summary>Parts</summary><sub>- 1 Hyundai R 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=Kona Electric (with HDA II, Korea only) 2023">Buy Here</a></sub></details>|<a href="https://www.youtube.com/watch?v=U2fOCmcQ8hw" target="_blank"><img height="18px" src="assets/icon-youtube.svg"></img></a>|
|Hyundai|Kona Hybrid 2020|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 I 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=Kona Hybrid 2020">Buy Here</a></sub></details>||
|Hyundai|Palisade 2020-22|All|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 H 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=Palisade 2020-22">Buy Here</a></sub></details>|<a href="https://youtu.be/TAnDqjF4fDY?t=456" target="_blank"><img height="18px" src="assets/icon-youtube.svg"></img></a>|

44
docs/css/tooltip.css Normal file
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@@ -0,0 +1,44 @@
[data-tooltip] {
position: relative;
display: inline-block;
border-bottom: 1px dotted black;
}
[data-tooltip] .tooltip-content {
width: max-content;
max-width: 25em;
position: absolute;
top: 100%;
left: 50%;
transform: translateX(-50%);
background-color: white;
color: #404040;
box-shadow: 0 4px 14px 0 rgba(0,0,0,.2), 0 0 0 1px rgba(0,0,0,.05);
padding: 10px;
font: 14px/1.5 Lato, proxima-nova, Helvetica Neue, Arial, sans-serif;
text-decoration: none;
opacity: 0;
visibility: hidden;
transition: opacity 0.1s, visibility 0s;
z-index: 1000;
pointer-events: none; /* Prevent accidental interaction */
}
[data-tooltip]:hover .tooltip-content {
opacity: 1;
visibility: visible;
pointer-events: auto; /* Allow interaction when visible */
}
.tooltip-content .tooltip-glossary-link {
display: inline-block;
margin-top: 8px;
font-size: 12px;
color: #007bff;
text-decoration: none;
}
.tooltip-content .tooltip-glossary-link:hover {
color: #0056b3;
text-decoration: underline;
}

0
docs/glossary.toml Normal file
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68
docs/hooks/glossary.py Normal file
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@@ -0,0 +1,68 @@
import re
import tomllib
def load_glossary(file_path="docs/glossary.toml"):
with open(file_path, "rb") as f:
glossary_data = tomllib.load(f)
return glossary_data.get("glossary", {})
def generate_anchor_id(name):
return name.replace(" ", "-").replace("_", "-").lower()
def format_markdown_term(name, definition):
anchor_id = generate_anchor_id(name)
markdown = f"* [**{name.replace('_', ' ').title()}**](#{anchor_id})"
if definition.get("abbreviation"):
markdown += f" *({definition['abbreviation']})*"
if definition.get("description"):
markdown += f": {definition['description']}\n"
return markdown
def glossary_markdown(vocabulary):
markdown = ""
for category, terms in vocabulary.items():
markdown += f"## {category.replace('_', ' ').title()}\n\n"
for name, definition in terms.items():
markdown += format_markdown_term(name, definition)
return markdown
def format_tooltip_html(term_key, definition, html):
display_term = term_key.replace("_", " ").title()
clean_description = re.sub(r"\[(.+)]\(.+\)", r"\1", definition["description"])
glossary_link = (
f"<a href='/concepts/glossary#{term_key}' class='tooltip-glossary-link' title='View in glossary'>Glossary🔗</a>"
)
return re.sub(
re.escape(display_term),
lambda
match: f"<span data-tooltip>{match.group(0)}<span class='tooltip-content'>{clean_description} {glossary_link}</span></span>",
html,
flags=re.IGNORECASE,
)
def apply_tooltip(_term_key, _definition, pattern, html):
return re.sub(
pattern,
lambda match: format_tooltip_html(_term_key, _definition, match.group(0)),
html,
flags=re.IGNORECASE,
)
def tooltip_html(vocabulary, html):
for _category, terms in vocabulary.items():
for term_key, definition in terms.items():
if definition.get("description"):
pattern = rf"(?<!\w){re.escape(term_key.replace('_', ' ').title())}(?![^<]*<\/a>)(?!\([^)]*\))"
html = apply_tooltip(term_key, definition, pattern, html)
return html
# Page Hooks
def on_page_markdown(markdown, **kwargs):
glossary = load_glossary()
return markdown.replace("{{GLOSSARY_DEFINITIONS}}", glossary_markdown(glossary))
def on_page_content(html, **kwargs):
if kwargs.get("page").title == "Glossary":
return html
glossary = load_glossary()
return tooltip_html(glossary, html)

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@@ -7,7 +7,7 @@ export OPENBLAS_NUM_THREADS=1
export VECLIB_MAXIMUM_THREADS=1
if [ -z "$AGNOS_VERSION" ]; then
export AGNOS_VERSION="11.3"
export AGNOS_VERSION="11.4"
fi
export STAGING_ROOT="/data/safe_staging"

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@@ -8,6 +8,10 @@ strict: true
docs_dir: docs
site_dir: docs_site/
hooks:
- docs/hooks/glossary.py
extra_css:
- css/tooltip.css
theme:
name: readthedocs
navigation_depth: 3

2
panda

Submodule panda updated: 67b4fa2430...45301bf15c

View File

@@ -1,3 +0,0 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f7565541b4e6213221174839b9b2b67397ced0b9807ea56413989fd37325b3b6
size 4908

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@@ -148,7 +148,8 @@ class CarSpecificEvents:
# To avoid re-engaging when openpilot cancels, check user engagement intention via buttons
# 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, pcm_enable=self.CP.pcmCruise, allow_enable=any(self.cruise_buttons))
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))
# 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.:

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@@ -17,7 +17,7 @@ class TestCarDocs:
with open(CARS_MD_OUT) as f:
current_cars_md = f.read()
assert generated_cars_md == current_cars_md, "Run selfdrive/opcar/docs.py to update the compatibility documentation"
assert generated_cars_md == current_cars_md, "Run selfdrive/car/docs.py to update the compatibility documentation"
def test_docs_diff(self):
dump_path = os.path.join(BASEDIR, "selfdrive", "car", "tests", "cars_dump")

View File

@@ -5,12 +5,15 @@ from openpilot.common.realtime import DT_CTRL
MIN_SPEED = 1.0
CONTROL_N = 17
CAR_ROTATION_RADIUS = 0.0
# This is a turn radius smaller than most cars can achieve
MAX_CURVATURE = 0.2
# EU guidelines
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)
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,

48
selfdrive/debug/touch_replay.py Executable file
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@@ -0,0 +1,48 @@
#!/usr/bin/env python3
import argparse
import numpy as np
import matplotlib.pyplot as plt
from openpilot.tools.lib.logreader import LogReader
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--width', default=2160, type=int)
parser.add_argument('--height', default=1080, type=int)
parser.add_argument('--route', default='rlog', type=str)
args = parser.parse_args()
w = args.width
h = args.height
route = args.route
fingers = [[-1, -1]] * 5
touch_points = []
current_slot = 0
lr = list(LogReader(route))
for msg in lr:
if msg.which() == 'touch':
for event in msg.touch:
if event.type == 3 and event.code == 47:
current_slot = event.value
elif event.type == 3 and event.code == 57 and event.value == -1:
fingers[current_slot] = [-1, -1]
elif event.type == 3 and event.code == 53:
fingers[current_slot][1] = h - (h - event.value)
if fingers[current_slot][0] != -1:
touch_points.append(fingers[current_slot].copy())
elif event.type == 3 and event.code == 54:
fingers[current_slot][0] = w - event.value
if fingers[current_slot][1] != -1:
touch_points.append(fingers[current_slot].copy())
unique_points, counts = np.unique(touch_points, axis=0, return_counts=True)
plt.figure(figsize=(10, 3))
plt.scatter(unique_points[:, 0], unique_points[:, 1], c=counts, s=counts * 20, edgecolors='red')
plt.colorbar()
plt.title(f'Touches for {route}')
plt.grid(True)
plt.show()

View File

@@ -13,13 +13,13 @@ from cereal.messaging import PubMaster, SubMaster
from msgq.visionipc import VisionIpcClient, VisionStreamType, VisionBuf
from openpilot.common.swaglog import cloudlog
from openpilot.common.realtime import set_realtime_priority
from openpilot.common.transformations.model import dmonitoringmodel_intrinsics
from openpilot.common.transformations.camera import _ar_ox_fisheye, _os_fisheye
from openpilot.selfdrive.modeld.models.commonmodel_pyx import CLContext, MonitoringModelFrame
from openpilot.selfdrive.modeld.runners import ModelRunner, Runtime
from openpilot.selfdrive.modeld.models.commonmodel_pyx import CLContext
from openpilot.selfdrive.modeld.parse_model_outputs import sigmoid
CALIB_LEN = 3
MODEL_WIDTH = 1440
MODEL_HEIGHT = 960
FEATURE_LEN = 512
OUTPUT_SIZE = 84 + FEATURE_LEN
@@ -62,25 +62,21 @@ class ModelState:
def __init__(self, cl_ctx):
assert ctypes.sizeof(DMonitoringModelResult) == OUTPUT_SIZE * ctypes.sizeof(ctypes.c_float)
self.frame = MonitoringModelFrame(cl_ctx)
self.output = np.zeros(OUTPUT_SIZE, dtype=np.float32)
self.inputs = {
'input_img': np.zeros(MODEL_HEIGHT * MODEL_WIDTH, dtype=np.uint8),
'calib': np.zeros(CALIB_LEN, dtype=np.float32)}
self.model = ModelRunner(MODEL_PATHS, self.output, Runtime.GPU, False, cl_ctx)
self.model.addInput("input_img", None)
self.model.addInput("calib", self.inputs['calib'])
def run(self, buf:VisionBuf, calib:np.ndarray) -> tuple[np.ndarray, float]:
def run(self, buf:VisionBuf, calib:np.ndarray, transform:np.ndarray) -> tuple[np.ndarray, float]:
self.inputs['calib'][:] = calib
v_offset = buf.height - MODEL_HEIGHT
h_offset = (buf.width - MODEL_WIDTH) // 2
buf_data = buf.data.reshape(-1, buf.stride)
input_data = self.inputs['input_img'].reshape(MODEL_HEIGHT, MODEL_WIDTH)
input_data[:] = buf_data[v_offset:v_offset+MODEL_HEIGHT, h_offset:h_offset+MODEL_WIDTH]
self.model.setInputBuffer("input_img", self.frame.prepare(buf, transform.flatten(), None).view(np.float32))
self.model.setInputBuffer("input_img", self.inputs['input_img'].view(np.float32))
t1 = time.perf_counter()
self.model.execute()
t2 = time.perf_counter()
@@ -137,18 +133,23 @@ def main():
pm = PubMaster(["driverStateV2"])
calib = np.zeros(CALIB_LEN, dtype=np.float32)
model_transform = None
while True:
buf = vipc_client.recv()
if buf is None:
continue
if model_transform is None:
cam = _os_fisheye if buf.width == _os_fisheye.width else _ar_ox_fisheye
model_transform = np.linalg.inv(np.dot(dmonitoringmodel_intrinsics, np.linalg.inv(cam.intrinsics))).astype(np.float32)
sm.update(0)
if sm.updated["liveCalibration"]:
calib[:] = np.array(sm["liveCalibration"].rpyCalib)
t1 = time.perf_counter()
model_output, gpu_execution_time = model.run(buf, calib)
model_output, gpu_execution_time = model.run(buf, calib, model_transform)
t2 = time.perf_counter()
pm.send("driverStateV2", get_driverstate_packet(model_output, vipc_client.frame_id, vipc_client.timestamp_sof, t2 - t1, gpu_execution_time))

View File

@@ -3,11 +3,22 @@ import capnp
import numpy as np
from cereal import log
from openpilot.selfdrive.modeld.constants import ModelConstants, Plan, Meta
from openpilot.selfdrive.controls.lib.drive_helpers import MIN_SPEED
SEND_RAW_PRED = os.getenv('SEND_RAW_PRED')
ConfidenceClass = log.ModelDataV2.ConfidenceClass
def curv_from_psis(psi_target, psi_rate, vego, delay):
vego = np.clip(vego, MIN_SPEED, np.inf)
curv_from_psi = psi_target / (vego * delay) # epsilon to prevent divide-by-zero
return 2*curv_from_psi - psi_rate / vego
def get_curvature_from_plan(plan, vego, delay):
psi_target = np.interp(delay, ModelConstants.T_IDXS, plan[:, Plan.T_FROM_CURRENT_EULER][:, 2])
psi_rate = plan[:, Plan.ORIENTATION_RATE][0, 2]
return curv_from_psis(psi_target, psi_rate, vego, delay)
class PublishState:
def __init__(self):
self.disengage_buffer = np.zeros(ModelConstants.CONFIDENCE_BUFFER_LEN*ModelConstants.DISENGAGE_WIDTH, dtype=np.float32)
@@ -55,14 +66,17 @@ def fill_lane_line_meta(builder, lane_lines, lane_line_probs):
builder.rightProb = lane_line_probs[2]
def fill_model_msg(base_msg: capnp._DynamicStructBuilder, extended_msg: capnp._DynamicStructBuilder,
net_output_data: dict[str, np.ndarray], publish_state: PublishState,
vipc_frame_id: int, vipc_frame_id_extra: int, frame_id: int, frame_drop: float,
timestamp_eof: int, model_execution_time: float, valid: bool) -> None:
net_output_data: dict[str, np.ndarray], v_ego: float, delay: float,
publish_state: PublishState, vipc_frame_id: int, vipc_frame_id_extra: int,
frame_id: int, frame_drop: float, timestamp_eof: int, model_execution_time: float,
valid: bool) -> None:
frame_age = frame_id - vipc_frame_id if frame_id > vipc_frame_id else 0
frame_drop_perc = frame_drop * 100
extended_msg.valid = valid
base_msg.valid = valid
desired_curv = float(get_curvature_from_plan(net_output_data['plan'][0], v_ego, delay))
driving_model_data = base_msg.drivingModelData
driving_model_data.frameId = vipc_frame_id
@@ -71,7 +85,7 @@ def fill_model_msg(base_msg: capnp._DynamicStructBuilder, extended_msg: capnp._D
driving_model_data.modelExecutionTime = model_execution_time
action = driving_model_data.action
action.desiredCurvature = float(net_output_data['desired_curvature'][0,0])
action.desiredCurvature = desired_curv
modelV2 = extended_msg.modelV2
modelV2.frameId = vipc_frame_id
@@ -106,7 +120,7 @@ def fill_model_msg(base_msg: capnp._DynamicStructBuilder, extended_msg: capnp._D
# lateral planning
action = modelV2.action
action.desiredCurvature = float(net_output_data['desired_curvature'][0,0])
action.desiredCurvature = desired_curv
# times at X_IDXS according to model plan
PLAN_T_IDXS = [np.nan] * ModelConstants.IDX_N

View File

@@ -22,7 +22,7 @@ from openpilot.selfdrive.modeld.runners import ModelRunner, Runtime
from openpilot.selfdrive.modeld.parse_model_outputs import Parser
from openpilot.selfdrive.modeld.fill_model_msg import fill_model_msg, fill_pose_msg, PublishState
from openpilot.selfdrive.modeld.constants import ModelConstants
from openpilot.selfdrive.modeld.models.commonmodel_pyx import ModelFrame, CLContext
from openpilot.selfdrive.modeld.models.commonmodel_pyx import DrivingModelFrame, CLContext
PROCESS_NAME = "selfdrive.modeld.modeld"
SEND_RAW_PRED = os.getenv('SEND_RAW_PRED')
@@ -44,27 +44,24 @@ class FrameMeta:
self.frame_id, self.timestamp_sof, self.timestamp_eof = vipc.frame_id, vipc.timestamp_sof, vipc.timestamp_eof
class ModelState:
frame: ModelFrame
wide_frame: ModelFrame
frame: DrivingModelFrame
wide_frame: DrivingModelFrame
inputs: dict[str, np.ndarray]
output: np.ndarray
prev_desire: np.ndarray # for tracking the rising edge of the pulse
model: ModelRunner
def __init__(self, context: CLContext):
self.frame = ModelFrame(context)
self.wide_frame = ModelFrame(context)
self.frame = DrivingModelFrame(context)
self.wide_frame = DrivingModelFrame(context)
self.prev_desire = np.zeros(ModelConstants.DESIRE_LEN, dtype=np.float32)
self.full_features_20Hz = np.zeros((ModelConstants.FULL_HISTORY_BUFFER_LEN, ModelConstants.FEATURE_LEN), dtype=np.float32)
self.desire_20Hz = np.zeros((ModelConstants.FULL_HISTORY_BUFFER_LEN + 1, ModelConstants.DESIRE_LEN), dtype=np.float32)
self.prev_desired_curv_20hz = np.zeros((ModelConstants.FULL_HISTORY_BUFFER_LEN + 1, ModelConstants.PREV_DESIRED_CURV_LEN), dtype=np.float32)
# img buffers are managed in openCL transform code
self.inputs = {
'desire': np.zeros(ModelConstants.DESIRE_LEN * (ModelConstants.HISTORY_BUFFER_LEN+1), dtype=np.float32),
'traffic_convention': np.zeros(ModelConstants.TRAFFIC_CONVENTION_LEN, dtype=np.float32),
'lateral_control_params': np.zeros(ModelConstants.LATERAL_CONTROL_PARAMS_LEN, dtype=np.float32),
'prev_desired_curv': np.zeros(ModelConstants.PREV_DESIRED_CURV_LEN * (ModelConstants.HISTORY_BUFFER_LEN+1), dtype=np.float32),
'features_buffer': np.zeros(ModelConstants.HISTORY_BUFFER_LEN * ModelConstants.FEATURE_LEN, dtype=np.float32),
}
@@ -100,7 +97,6 @@ class ModelState:
self.inputs['desire'][:] = self.desire_20Hz.reshape((25,4,-1)).max(axis=1).flatten()
self.inputs['traffic_convention'][:] = inputs['traffic_convention']
self.inputs['lateral_control_params'][:] = inputs['lateral_control_params']
self.model.setInputBuffer("input_imgs", self.frame.prepare(buf, transform.flatten(), self.model.getCLBuffer("input_imgs")))
self.model.setInputBuffer("big_input_imgs", self.wide_frame.prepare(wbuf, transform_wide.flatten(), self.model.getCLBuffer("big_input_imgs")))
@@ -114,13 +110,8 @@ class ModelState:
self.full_features_20Hz[:-1] = self.full_features_20Hz[1:]
self.full_features_20Hz[-1] = outputs['hidden_state'][0, :]
self.prev_desired_curv_20hz[:-1] = self.prev_desired_curv_20hz[1:]
self.prev_desired_curv_20hz[-1] = outputs['desired_curvature'][0, :]
idxs = np.arange(-4,-100,-4)[::-1]
self.inputs['features_buffer'][:] = self.full_features_20Hz[idxs].flatten()
# TODO model only uses last value now, once that changes we need to input strided action history buffer
self.inputs['prev_desired_curv'][-ModelConstants.PREV_DESIRED_CURV_LEN:] = 0. * self.prev_desired_curv_20hz[-4, :]
return outputs
@@ -231,7 +222,6 @@ def main(demo=False):
is_rhd = sm["driverMonitoringState"].isRHD
frame_id = sm["roadCameraState"].frameId
v_ego = max(sm["carState"].vEgo, 0.)
lateral_control_params = np.array([v_ego, steer_delay], dtype=np.float32)
if sm.updated["liveCalibration"] and sm.seen['roadCameraState'] and sm.seen['deviceState']:
device_from_calib_euler = np.array(sm["liveCalibration"].rpyCalib, dtype=np.float32)
dc = DEVICE_CAMERAS[(str(sm['deviceState'].deviceType), str(sm['roadCameraState'].sensor))]
@@ -262,7 +252,6 @@ def main(demo=False):
inputs:dict[str, np.ndarray] = {
'desire': vec_desire,
'traffic_convention': traffic_convention,
'lateral_control_params': lateral_control_params,
}
mt1 = time.perf_counter()
@@ -274,7 +263,8 @@ def main(demo=False):
modelv2_send = messaging.new_message('modelV2')
drivingdata_send = messaging.new_message('drivingModelData')
posenet_send = messaging.new_message('cameraOdometry')
fill_model_msg(drivingdata_send, modelv2_send, model_output, publish_state, meta_main.frame_id, meta_extra.frame_id, frame_id,
fill_model_msg(drivingdata_send, modelv2_send, model_output, v_ego, steer_delay,
publish_state, meta_main.frame_id, meta_extra.frame_id, frame_id,
frame_drop_ratio, meta_main.timestamp_eof, model_execution_time, live_calib_seen)
desire_state = modelv2_send.modelV2.meta.desireState

View File

@@ -1,36 +1,30 @@
#include "selfdrive/modeld/models/commonmodel.h"
#include <cassert>
#include <cmath>
#include <cstring>
#include "common/clutil.h"
ModelFrame::ModelFrame(cl_device_id device_id, cl_context context) {
DrivingModelFrame::DrivingModelFrame(cl_device_id device_id, cl_context context) : ModelFrame(device_id, context) {
input_frames = std::make_unique<uint8_t[]>(buf_size);
q = CL_CHECK_ERR(clCreateCommandQueue(context, device_id, 0, &err));
y_cl = CL_CHECK_ERR(clCreateBuffer(context, CL_MEM_READ_WRITE, MODEL_WIDTH * MODEL_HEIGHT, NULL, &err));
u_cl = CL_CHECK_ERR(clCreateBuffer(context, CL_MEM_READ_WRITE, (MODEL_WIDTH / 2) * (MODEL_HEIGHT / 2), NULL, &err));
v_cl = CL_CHECK_ERR(clCreateBuffer(context, CL_MEM_READ_WRITE, (MODEL_WIDTH / 2) * (MODEL_HEIGHT / 2), NULL, &err));
//input_frames_cl = CL_CHECK_ERR(clCreateBuffer(context, CL_MEM_READ_WRITE, buf_size, NULL, &err));
img_buffer_20hz_cl = CL_CHECK_ERR(clCreateBuffer(context, CL_MEM_READ_WRITE, 5*frame_size_bytes, NULL, &err));
region.origin = 4 * frame_size_bytes;
region.size = frame_size_bytes;
last_img_cl = CL_CHECK_ERR(clCreateSubBuffer(img_buffer_20hz_cl, CL_MEM_READ_WRITE, CL_BUFFER_CREATE_TYPE_REGION, &region, &err));
transform_init(&transform, context, device_id);
loadyuv_init(&loadyuv, context, device_id, MODEL_WIDTH, MODEL_HEIGHT);
init_transform(device_id, context, MODEL_WIDTH, MODEL_HEIGHT);
}
uint8_t* ModelFrame::prepare(cl_mem yuv_cl, int frame_width, int frame_height, int frame_stride, int frame_uv_offset, const mat3 &projection, cl_mem *output) {
transform_queue(&this->transform, q,
yuv_cl, frame_width, frame_height, frame_stride, frame_uv_offset,
y_cl, u_cl, v_cl, MODEL_WIDTH, MODEL_HEIGHT, projection);
uint8_t* DrivingModelFrame::prepare(cl_mem yuv_cl, int frame_width, int frame_height, int frame_stride, int frame_uv_offset, const mat3& projection, cl_mem* output) {
run_transform(yuv_cl, MODEL_WIDTH, MODEL_HEIGHT, frame_width, frame_height, frame_stride, frame_uv_offset, projection);
for (int i = 0; i < 4; i++) {
CL_CHECK(clEnqueueCopyBuffer(q, img_buffer_20hz_cl, img_buffer_20hz_cl, (i+1)*frame_size_bytes, i*frame_size_bytes, frame_size_bytes, 0, nullptr, nullptr));
}
loadyuv_queue(&loadyuv, q, y_cl, u_cl, v_cl, last_img_cl);
if (output == NULL) {
CL_CHECK(clEnqueueReadBuffer(q, img_buffer_20hz_cl, CL_TRUE, 0, frame_size_bytes, &input_frames[0], 0, nullptr, nullptr));
CL_CHECK(clEnqueueReadBuffer(q, last_img_cl, CL_TRUE, 0, frame_size_bytes, &input_frames[MODEL_FRAME_SIZE], 0, nullptr, nullptr));
@@ -46,13 +40,30 @@ uint8_t* ModelFrame::prepare(cl_mem yuv_cl, int frame_width, int frame_height, i
}
}
ModelFrame::~ModelFrame() {
transform_destroy(&transform);
DrivingModelFrame::~DrivingModelFrame() {
deinit_transform();
loadyuv_destroy(&loadyuv);
CL_CHECK(clReleaseMemObject(img_buffer_20hz_cl));
CL_CHECK(clReleaseMemObject(last_img_cl));
CL_CHECK(clReleaseMemObject(v_cl));
CL_CHECK(clReleaseMemObject(u_cl));
CL_CHECK(clReleaseMemObject(y_cl));
CL_CHECK(clReleaseCommandQueue(q));
}
}
MonitoringModelFrame::MonitoringModelFrame(cl_device_id device_id, cl_context context) : ModelFrame(device_id, context) {
input_frames = std::make_unique<uint8_t[]>(buf_size);
//input_frame_cl = CL_CHECK_ERR(clCreateBuffer(context, CL_MEM_READ_WRITE, buf_size, NULL, &err));
init_transform(device_id, context, MODEL_WIDTH, MODEL_HEIGHT);
}
uint8_t* MonitoringModelFrame::prepare(cl_mem yuv_cl, int frame_width, int frame_height, int frame_stride, int frame_uv_offset, const mat3& projection, cl_mem* output) {
run_transform(yuv_cl, MODEL_WIDTH, MODEL_HEIGHT, frame_width, frame_height, frame_stride, frame_uv_offset, projection);
CL_CHECK(clEnqueueReadBuffer(q, y_cl, CL_TRUE, 0, MODEL_FRAME_SIZE * sizeof(uint8_t), input_frames.get(), 0, nullptr, nullptr));
clFinish(q);
//return &y_cl;
return input_frames.get();
}
MonitoringModelFrame::~MonitoringModelFrame() {
deinit_transform();
CL_CHECK(clReleaseCommandQueue(q));
}

View File

@@ -2,6 +2,7 @@
#include <cfloat>
#include <cstdlib>
#include <cassert>
#include <memory>
@@ -18,9 +19,56 @@
class ModelFrame {
public:
ModelFrame(cl_device_id device_id, cl_context context);
~ModelFrame();
uint8_t* prepare(cl_mem yuv_cl, int width, int height, int frame_stride, int frame_uv_offset, const mat3& transform, cl_mem *output);
ModelFrame(cl_device_id device_id, cl_context context) {
q = CL_CHECK_ERR(clCreateCommandQueue(context, device_id, 0, &err));
}
virtual ~ModelFrame() {}
virtual uint8_t* prepare(cl_mem yuv_cl, int frame_width, int frame_height, int frame_stride, int frame_uv_offset, const mat3& projection, cl_mem* output) { return NULL; }
/*
uint8_t* buffer_from_cl(cl_mem *in_frames, int buffer_size) {
CL_CHECK(clEnqueueReadBuffer(q, *in_frames, CL_TRUE, 0, buffer_size, input_frames.get(), 0, nullptr, nullptr));
clFinish(q);
return &input_frames[0];
}
*/
int MODEL_WIDTH;
int MODEL_HEIGHT;
int MODEL_FRAME_SIZE;
int buf_size;
protected:
cl_mem y_cl, u_cl, v_cl;
Transform transform;
cl_command_queue q;
std::unique_ptr<uint8_t[]> input_frames;
void init_transform(cl_device_id device_id, cl_context context, int model_width, int model_height) {
y_cl = CL_CHECK_ERR(clCreateBuffer(context, CL_MEM_READ_WRITE, model_width * model_height, NULL, &err));
u_cl = CL_CHECK_ERR(clCreateBuffer(context, CL_MEM_READ_WRITE, (model_width / 2) * (model_height / 2), NULL, &err));
v_cl = CL_CHECK_ERR(clCreateBuffer(context, CL_MEM_READ_WRITE, (model_width / 2) * (model_height / 2), NULL, &err));
transform_init(&transform, context, device_id);
}
void deinit_transform() {
transform_destroy(&transform);
CL_CHECK(clReleaseMemObject(v_cl));
CL_CHECK(clReleaseMemObject(u_cl));
CL_CHECK(clReleaseMemObject(y_cl));
}
void run_transform(cl_mem yuv_cl, int model_width, int model_height, int frame_width, int frame_height, int frame_stride, int frame_uv_offset, const mat3& projection) {
transform_queue(&transform, q,
yuv_cl, frame_width, frame_height, frame_stride, frame_uv_offset,
y_cl, u_cl, v_cl, model_width, model_height, projection);
}
};
class DrivingModelFrame : public ModelFrame {
public:
DrivingModelFrame(cl_device_id device_id, cl_context context);
~DrivingModelFrame();
uint8_t* prepare(cl_mem yuv_cl, int frame_width, int frame_height, int frame_stride, int frame_uv_offset, const mat3& projection, cl_mem* output);
const int MODEL_WIDTH = 512;
const int MODEL_HEIGHT = 256;
@@ -29,10 +77,22 @@ public:
const size_t frame_size_bytes = MODEL_FRAME_SIZE * sizeof(uint8_t);
private:
Transform transform;
LoadYUVState loadyuv;
cl_command_queue q;
cl_mem y_cl, u_cl, v_cl, img_buffer_20hz_cl, last_img_cl;
cl_mem img_buffer_20hz_cl, last_img_cl;//, input_frames_cl;
cl_buffer_region region;
std::unique_ptr<uint8_t[]> input_frames;
};
};
class MonitoringModelFrame : public ModelFrame {
public:
MonitoringModelFrame(cl_device_id device_id, cl_context context);
~MonitoringModelFrame();
uint8_t* prepare(cl_mem yuv_cl, int frame_width, int frame_height, int frame_stride, int frame_uv_offset, const mat3& projection, cl_mem* output);
const int MODEL_WIDTH = 1440;
const int MODEL_HEIGHT = 960;
const int MODEL_FRAME_SIZE = MODEL_WIDTH * MODEL_HEIGHT;
const int buf_size = MODEL_FRAME_SIZE;
private:
// cl_mem input_frame_cl;
};

View File

@@ -14,5 +14,13 @@ cdef extern from "common/clutil.h":
cdef extern from "selfdrive/modeld/models/commonmodel.h":
cppclass ModelFrame:
int buf_size
ModelFrame(cl_device_id, cl_context)
# unsigned char * buffer_from_cl(cl_mem*, int);
unsigned char * prepare(cl_mem, int, int, int, int, mat3, cl_mem*)
cppclass DrivingModelFrame:
int buf_size
DrivingModelFrame(cl_device_id, cl_context)
cppclass MonitoringModelFrame:
int buf_size
MonitoringModelFrame(cl_device_id, cl_context)

View File

@@ -4,11 +4,12 @@
import numpy as np
cimport numpy as cnp
from libc.string cimport memcpy
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 mat3, ModelFrame as cppModelFrame
from .commonmodel cimport mat3, ModelFrame as cppModelFrame, DrivingModelFrame as cppDrivingModelFrame, MonitoringModelFrame as cppMonitoringModelFrame
cdef class CLContext(BaseCLContext):
@@ -23,11 +24,17 @@ cdef class CLMem:
mem.mem = <cl_mem*> cmem
return mem
@property
def mem_address(self):
return <uintptr_t>(self.mem)
def cl_from_visionbuf(VisionBuf buf):
return CLMem.create(<void*>&buf.buf.buf_cl)
cdef class ModelFrame:
cdef cppModelFrame * frame
def __cinit__(self, CLContext context):
self.frame = new cppModelFrame(context.device_id, context.context)
cdef int buf_size
def __dealloc__(self):
del self.frame
@@ -42,4 +49,28 @@ cdef class ModelFrame:
data = self.frame.prepare(buf.buf.buf_cl, buf.width, buf.height, buf.stride, buf.uv_offset, cprojection, output.mem)
if not data:
return None
return np.asarray(<cnp.uint8_t[:self.frame.buf_size]> data)
return np.asarray(<cnp.uint8_t[:self.buf_size]> data)
# return CLMem.create(data)
# def buffer_from_cl(self, CLMem in_frames):
# cdef unsigned char * data2
# data2 = self.frame.buffer_from_cl(in_frames.mem, self.buf_size)
# return np.asarray(<cnp.uint8_t[:self.buf_size]> data2)
cdef class DrivingModelFrame(ModelFrame):
cdef cppDrivingModelFrame * _frame
def __cinit__(self, CLContext context):
self._frame = new cppDrivingModelFrame(context.device_id, context.context)
self.frame = <cppModelFrame*>(self._frame)
self.buf_size = self._frame.buf_size
cdef class MonitoringModelFrame(ModelFrame):
cdef cppMonitoringModelFrame * _frame
def __cinit__(self, CLContext context):
self._frame = new cppMonitoringModelFrame(context.device_id, context.context)
self.frame = <cppModelFrame*>(self._frame)
self.buf_size = self._frame.buf_size

View File

@@ -1,3 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:663f58026cdf0b5c8e079a8a1591c8e2b5fa7e5c0f29a882011a17c405af10f4
size 50320584
oid sha256:0c896681fd6851de3968433e12f37834429eba265e938cf383200be3e5835cec
size 49096168

View File

@@ -96,8 +96,6 @@ class Parser:
out_shape=(ModelConstants.LEAD_TRAJ_LEN,ModelConstants.LEAD_WIDTH))
if 'lat_planner_solution' in outs:
self.parse_mdn('lat_planner_solution', outs, in_N=0, out_N=0, out_shape=(ModelConstants.IDX_N,ModelConstants.LAT_PLANNER_SOLUTION_WIDTH))
if 'desired_curvature' in outs:
self.parse_mdn('desired_curvature', outs, in_N=0, out_N=0, out_shape=(ModelConstants.DESIRED_CURV_WIDTH,))
for k in ['lead_prob', 'lane_lines_prob', 'meta']:
self.parse_binary_crossentropy(k, outs)
self.parse_categorical_crossentropy('desire_state', outs, out_shape=(ModelConstants.DESIRE_PRED_WIDTH,))

View File

@@ -1,39 +1,12 @@
import onnx
import itertools
import os
import onnx
import sys
import numpy as np
from typing import Any
from openpilot.selfdrive.modeld.runners.runmodel_pyx import RunModel
from openpilot.selfdrive.modeld.runners.ort_helpers import convert_fp16_to_fp32, ORT_TYPES_TO_NP_TYPES
ORT_TYPES_TO_NP_TYPES = {'tensor(float16)': np.float16, 'tensor(float)': np.float32, 'tensor(uint8)': np.uint8}
def attributeproto_fp16_to_fp32(attr):
float32_list = np.frombuffer(attr.raw_data, dtype=np.float16)
attr.data_type = 1
attr.raw_data = float32_list.astype(np.float32).tobytes()
def convert_fp16_to_fp32(onnx_path_or_bytes):
if isinstance(onnx_path_or_bytes, bytes):
model = onnx.load_from_string(onnx_path_or_bytes)
elif isinstance(onnx_path_or_bytes, str):
model = onnx.load(onnx_path_or_bytes)
for i in model.graph.initializer:
if i.data_type == 10:
attributeproto_fp16_to_fp32(i)
for i in itertools.chain(model.graph.input, model.graph.output):
if i.type.tensor_type.elem_type == 10:
i.type.tensor_type.elem_type = 1
for i in model.graph.node:
if i.op_type == 'Cast' and i.attribute[0].i == 10:
i.attribute[0].i = 1
for a in i.attribute:
if hasattr(a, 't'):
if a.t.data_type == 10:
attributeproto_fp16_to_fp32(a.t)
return model.SerializeToString()
def create_ort_session(path, fp16_to_fp32):
os.environ["OMP_NUM_THREADS"] = "4"
@@ -49,14 +22,14 @@ def create_ort_session(path, fp16_to_fp32):
provider = 'OpenVINOExecutionProvider'
elif 'CUDAExecutionProvider' in ort.get_available_providers() and 'ONNXCPU' not in os.environ:
options.intra_op_num_threads = 2
provider = ('CUDAExecutionProvider', {'cudnn_conv_algo_search': 'DEFAULT'})
provider = ('CUDAExecutionProvider', {'cudnn_conv_algo_search': 'EXHAUSTIVE'})
else:
options.intra_op_num_threads = 2
options.execution_mode = ort.ExecutionMode.ORT_SEQUENTIAL
options.graph_optimization_level = ort.GraphOptimizationLevel.ORT_ENABLE_ALL
provider = 'CPUExecutionProvider'
model_data = convert_fp16_to_fp32(path) if fp16_to_fp32 else path
model_data = convert_fp16_to_fp32(onnx.load(path)) if fp16_to_fp32 else path
print("Onnx selected provider: ", [provider], file=sys.stderr)
ort_session = ort.InferenceSession(model_data, options, providers=[provider])
print("Onnx using ", ort_session.get_providers(), file=sys.stderr)

View File

@@ -0,0 +1,36 @@
import onnx
import onnxruntime as ort
import numpy as np
import itertools
ORT_TYPES_TO_NP_TYPES = {'tensor(float16)': np.float16, 'tensor(float)': np.float32, 'tensor(uint8)': np.uint8}
def attributeproto_fp16_to_fp32(attr):
float32_list = np.frombuffer(attr.raw_data, dtype=np.float16)
attr.data_type = 1
attr.raw_data = float32_list.astype(np.float32).tobytes()
def convert_fp16_to_fp32(model):
for i in model.graph.initializer:
if i.data_type == 10:
attributeproto_fp16_to_fp32(i)
for i in itertools.chain(model.graph.input, model.graph.output):
if i.type.tensor_type.elem_type == 10:
i.type.tensor_type.elem_type = 1
for i in model.graph.node:
if i.op_type == 'Cast' and i.attribute[0].i == 10:
i.attribute[0].i = 1
for a in i.attribute:
if hasattr(a, 't'):
if a.t.data_type == 10:
attributeproto_fp16_to_fp32(a.t)
return model.SerializeToString()
def make_onnx_cpu_runner(model_path):
options = ort.SessionOptions()
options.intra_op_num_threads = 4
options.execution_mode = ort.ExecutionMode.ORT_SEQUENTIAL
options.graph_optimization_level = ort.GraphOptimizationLevel.ORT_ENABLE_ALL
model_data = convert_fp16_to_fp32(onnx.load(model_path))
return ort.InferenceSession(model_data, options, providers=['CPUExecutionProvider'])

View File

@@ -416,6 +416,7 @@ void process_peripheral_state(Panda *panda, PubMaster *pm, bool no_fan_control)
if (ir_pwr != prev_ir_pwr || sm.frame % 100 == 0 || ir_pwr >= 50.0) {
panda->set_ir_pwr(ir_pwr);
Hardware::set_ir_power(ir_pwr);
prev_ir_pwr = ir_pwr;
}
}

View File

@@ -1 +1 @@
8ab4d7b987f55855ef64f16afbd3f67996e6935a
8ab4d7b987f55855ef64f16afbd3f67996e6935a

View File

@@ -378,6 +378,8 @@ class TestOnroad:
]
for (s, instant_max, avg_max) in cfgs:
ts = [getattr(m, s).modelExecutionTime for m in self.msgs[s]]
# TODO some init can happen in first iteration
ts = ts[1:]
assert max(ts) < instant_max, f"high '{s}' execution time: {max(ts)}"
assert np.mean(ts) < avg_max, f"high avg '{s}' execution time: {np.mean(ts)}"
result += f"'{s}' execution time: min {min(ts):.5f}s\n"

View File

@@ -67,14 +67,13 @@ if GetOption('extras'):
qt_src.remove("main.cc") # replaced by test_runner
qt_env.Program('tests/test_translations', [asset_obj, 'tests/test_runner.cc', 'tests/test_translations.cc'] + qt_src, LIBS=qt_libs)
if GetOption('extras') and arch != "Darwin":
if GetOption('extras'):
qt_env.SharedLibrary("qt/python_helpers", ["qt/qt_window.cc"], LIBS=qt_libs)
# spinner and text window
qt_env.Program("_text", ["qt/text.cc"], LIBS=qt_libs)
qt_env.Program("_spinner", ["qt/spinner.cc"], LIBS=qt_libs)
# setup and factory resetter
qt_env.Program("qt/setup/reset", ["qt/setup/reset.cc"], LIBS=qt_libs)
qt_env.Program("qt/setup/setup", ["qt/setup/setup.cc", asset_obj],
@@ -83,29 +82,30 @@ if GetOption('extras') and arch != "Darwin":
# build updater UI
qt_env.Program("qt/setup/updater", ["qt/setup/updater.cc", asset_obj], LIBS=qt_libs)
# build installers
senv = qt_env.Clone()
senv['LINKFLAGS'].append('-Wl,-strip-debug')
if arch != "Darwin":
# build installers
senv = qt_env.Clone()
senv['LINKFLAGS'].append('-Wl,-strip-debug')
release = "release3"
installers = [
("openpilot", release),
("openpilot_test", f"{release}-staging"),
("openpilot_nightly", "nightly"),
("openpilot_internal", "nightly-dev"),
]
release = "release3"
installers = [
("openpilot", release),
("openpilot_test", f"{release}-staging"),
("openpilot_nightly", "nightly"),
("openpilot_internal", "nightly-dev"),
]
cont = senv.Command(f"installer/continue_openpilot.o", f"installer/continue_openpilot.sh",
"ld -r -b binary -o $TARGET $SOURCE")
for name, branch in installers:
d = {'BRANCH': f"'\"{branch}\"'"}
if "internal" in name:
d['INTERNAL'] = "1"
cont = senv.Command(f"installer/continue_openpilot.o", f"installer/continue_openpilot.sh",
"ld -r -b binary -o $TARGET $SOURCE")
for name, branch in installers:
d = {'BRANCH': f"'\"{branch}\"'"}
if "internal" in name:
d['INTERNAL'] = "1"
obj = senv.Object(f"installer/installers/installer_{name}.o", ["installer/installer.cc"], CPPDEFINES=d)
f = senv.Program(f"installer/installers/installer_{name}", [obj, cont], LIBS=qt_libs)
# keep installers small
assert f[0].get_size() < 370*1e3
obj = senv.Object(f"installer/installers/installer_{name}.o", ["installer/installer.cc"], CPPDEFINES=d)
f = senv.Program(f"installer/installers/installer_{name}", [obj, cont], LIBS=qt_libs)
# keep installers small
assert f[0].get_size() < 370*1e3
# build watch3
if arch in ['x86_64', 'aarch64', 'Darwin'] or GetOption('extras'):

View File

@@ -54,6 +54,7 @@ RETRY_DELAY = 10 # seconds
MAX_RETRY_COUNT = 30 # Try for at most 5 minutes if upload fails immediately
MAX_AGE = 31 * 24 * 3600 # seconds
WS_FRAME_SIZE = 4096
DEVICE_STATE_UPDATE_INTERVAL = 1.0 # in seconds
NetworkType = log.DeviceState.NetworkType
@@ -99,9 +100,9 @@ send_queue: Queue[str] = queue.Queue()
upload_queue: Queue[UploadItem] = queue.Queue()
low_priority_send_queue: Queue[str] = queue.Queue()
log_recv_queue: Queue[str] = queue.Queue()
cancelled_uploads: set[str] = set()
cur_upload_items: dict[int, UploadItem | None] = {}
cur_upload_items_lock = threading.Lock()
def strip_zst_extension(fn: str) -> str:
@@ -129,9 +130,8 @@ class UploadQueueCache:
@staticmethod
def cache(upload_queue: Queue[UploadItem]) -> None:
try:
with upload_queue.mutex:
items = [asdict(item) for item in upload_queue.queue]
queue: list[UploadItem | None] = list(upload_queue.queue)
items = [asdict(i) for i in queue if i is not None and (i.id not in cancelled_uploads)]
Params().put("AthenadUploadQueue", json.dumps(items))
except Exception:
cloudlog.exception("athena.UploadQueueCache.cache.exception")
@@ -201,8 +201,7 @@ def retry_upload(tid: int, end_event: threading.Event, increase_count: bool = Tr
upload_queue.put_nowait(item)
UploadQueueCache.cache(upload_queue)
with cur_upload_items_lock:
cur_upload_items[tid] = None
cur_upload_items[tid] = None
for _ in range(RETRY_DELAY):
time.sleep(1)
@@ -213,16 +212,16 @@ def retry_upload(tid: int, end_event: threading.Event, increase_count: bool = Tr
def cb(sm, item, tid, end_event: threading.Event, sz: int, cur: int) -> None:
# Abort transfer if connection changed to metered after starting upload
# or if athenad is shutting down to re-connect the websocket
sm.update(0)
metered = sm['deviceState'].networkMetered
if metered and (not item.allow_cellular):
raise AbortTransferException
if not item.allow_cellular:
if (time.monotonic() - sm.recv_time['deviceState']) > DEVICE_STATE_UPDATE_INTERVAL:
sm.update(0)
if sm['deviceState'].networkMetered:
raise AbortTransferException
if end_event.is_set():
raise AbortTransferException
with cur_upload_items_lock:
cur_upload_items[tid] = replace(item, progress=cur / sz if sz else 1)
cur_upload_items[tid] = replace(item, progress=cur / sz if sz else 1)
def upload_handler(end_event: threading.Event) -> None:
@@ -230,10 +229,14 @@ def upload_handler(end_event: threading.Event) -> None:
tid = threading.get_ident()
while not end_event.is_set():
cur_upload_items[tid] = None
try:
with cur_upload_items_lock:
cur_upload_items[tid] = None
cur_upload_items[tid] = item = replace(upload_queue.get(timeout=1), current=True)
cur_upload_items[tid] = item = replace(upload_queue.get(timeout=1), current=True)
if item.id in cancelled_uploads:
cancelled_uploads.remove(item.id)
continue
# Remove item if too old
age = datetime.now() - datetime.fromtimestamp(item.created_at / 1000)
@@ -412,13 +415,8 @@ def uploadFilesToUrls(files_data: list[UploadFileDict]) -> UploadFilesToUrlRespo
@dispatcher.add_method
def listUploadQueue() -> list[UploadItemDict]:
with upload_queue.mutex:
items = list(upload_queue.queue)
with cur_upload_items_lock:
items += list(cur_upload_items.values())
return [asdict(item) for item in items]
items = list(upload_queue.queue) + list(cur_upload_items.values())
return [asdict(i) for i in items if (i is not None) and (i.id not in cancelled_uploads)]
@dispatcher.add_method
@@ -426,14 +424,13 @@ def cancelUpload(upload_id: str | list[str]) -> dict[str, int | str]:
if not isinstance(upload_id, list):
upload_id = [upload_id]
with upload_queue.mutex:
remaining_items = [item for item in upload_queue.queue if item.id not in upload_id]
if len(remaining_items) == len(upload_queue.queue):
return {"success": 0, "error": "not found"}
uploading_ids = {item.id for item in list(upload_queue.queue)}
cancelled_ids = uploading_ids.intersection(upload_id)
if len(cancelled_ids) == 0:
return {"success": 0, "error": "not found"}
upload_queue.queue.clear()
upload_queue.queue.extend(remaining_items)
return {"success": 1}
cancelled_uploads.update(cancelled_ids)
return {"success": 1}
@dispatcher.add_method
def setRouteViewed(route: str) -> dict[str, int | str]:

View File

@@ -78,6 +78,7 @@ class TestAthenadMethods:
athenad.upload_queue = queue.Queue()
athenad.cur_upload_items.clear()
athenad.cancelled_uploads.clear()
for i in os.listdir(Paths.log_root()):
p = os.path.join(Paths.log_root(), i)
@@ -281,10 +282,13 @@ class TestAthenadMethods:
athenad.upload_queue.put_nowait(item)
dispatcher["cancelUpload"](item.id)
assert item.id in athenad.cancelled_uploads
self._wait_for_upload()
time.sleep(0.1)
assert athenad.upload_queue.qsize() == 0
assert len(athenad.cancelled_uploads) == 0
@with_upload_handler
def test_cancel_expiry(self):
@@ -327,7 +331,7 @@ class TestAthenadMethods:
assert items[0] == asdict(item)
assert not items[0]['current']
dispatcher["cancelUpload"](item.id)
athenad.cancelled_uploads.add(item.id)
items = dispatcher["listUploadQueue"]()
assert len(items) == 0
@@ -339,7 +343,7 @@ class TestAthenadMethods:
athenad.upload_queue.put_nowait(item2)
# Ensure canceled items are not persisted
dispatcher["cancelUpload"](item2.id)
athenad.cancelled_uploads.add(item2.id)
# serialize item
athenad.UploadQueueCache.cache(athenad.upload_queue)

View File

@@ -89,12 +89,14 @@ void CameraBuf::init(cl_device_id device_id, cl_context context, SpectraCamera *
vipc_server->create_buffers_with_sizes(stream_type, VIPC_BUFFER_COUNT, out_img_width, out_img_height, nv12_size, cam->stride, cam->uv_offset);
LOGD("created %d YUV vipc buffers with size %dx%d", VIPC_BUFFER_COUNT, cam->stride, cam->y_height);
imgproc = new ImgProc(device_id, context, this, sensor, cam->cc.camera_num, cam->stride, cam->uv_offset);
if (is_raw) imgproc = new ImgProc(device_id, context, this, sensor, cam->cc.camera_num, cam->stride, cam->uv_offset);
}
CameraBuf::~CameraBuf() {
for (int i = 0; i < frame_buf_count; i++) {
camera_bufs_raw[i].free();
if (camera_bufs_raw != nullptr) {
for (int i = 0; i < frame_buf_count; i++) {
camera_bufs_raw[i].free();
}
}
if (imgproc) delete imgproc;
}

View File

@@ -55,7 +55,7 @@ public:
float fl_pix = 0;
CameraState(SpectraMaster *master, const CameraConfig &config) : camera(master, config, true /*config.stream_type == VISION_STREAM_ROAD*/) {};
CameraState(SpectraMaster *master, const CameraConfig &config) : camera(master, config, config.stream_type == VISION_STREAM_ROAD) {};
~CameraState();
void init(VisionIpcServer *v, cl_device_id device_id, cl_context ctx);
void update_exposure_score(float desired_ev, int exp_t, int exp_g_idx, float exp_gain);

View File

@@ -14,7 +14,7 @@ int write_dmi(uint8_t *dst, uint64_t *addr, uint32_t length, uint32_t dmi_addr,
return sizeof(struct cdm_dmi_cmd);
}
int write_cont(uint8_t *dst, uint32_t reg, std::vector<uint32_t> vals) {
int write_cont(uint8_t *dst, uint32_t reg, const std::vector<uint32_t> &vals) {
struct cdm_regcontinuous_cmd *cmd = (struct cdm_regcontinuous_cmd*)dst;
cmd->cmd = CAM_CDM_CMD_REG_CONT;
cmd->count = vals.size();
@@ -31,7 +31,7 @@ int write_cont(uint8_t *dst, uint32_t reg, std::vector<uint32_t> vals) {
return sizeof(struct cdm_regcontinuous_cmd) + vals.size()*sizeof(uint32_t);
}
int write_random(uint8_t *dst, std::vector<uint32_t> vals) {
int write_random(uint8_t *dst, const std::vector<uint32_t> &vals) {
struct cdm_regrandom_cmd *cmd = (struct cdm_regrandom_cmd*)dst;
cmd->cmd = CAM_CDM_CMD_REG_RANDOM;
cmd->count = vals.size() / 2;

View File

@@ -7,8 +7,8 @@
#include <memory>
// our helpers
int write_random(uint8_t *dst, std::vector<uint32_t> vals);
int write_cont(uint8_t *dst, uint32_t reg, std::vector<uint32_t> vals);
int write_random(uint8_t *dst, const std::vector<uint32_t> &vals);
int write_cont(uint8_t *dst, uint32_t reg, const std::vector<uint32_t> &vals);
int write_dmi(uint8_t *dst, uint64_t *addr, uint32_t length, uint32_t dmi_addr, uint8_t sel);
// from drivers/media/platform/msm/camera/cam_cdm/cam_cdm_util.{c,h}

View File

@@ -51,12 +51,12 @@ int do_sync_control(int fd, uint32_t id, void *handle, uint32_t size) {
};
int ret = HANDLE_EINTR(ioctl(fd, CAM_PRIVATE_IOCTL_CMD, &arg));
int32_t ioctl_result = (int32_t)arg.result;
int32_t ioctl_result = static_cast<int32_t>(arg.result);
if (ret < 0) {
LOGE("CAM_SYNC error: id %u - errno %d - ret %d - ioctl_result %d", id, errno, ret, ioctl_result);
return ret;
}
if (ioctl_result < 0) {
if (ioctl_result != 0) {
LOGE("CAM_SYNC error: id %u - errno %d - ret %d - ioctl_result %d", id, errno, ret, ioctl_result);
return ioctl_result;
}
@@ -196,9 +196,9 @@ void SpectraMaster::init() {
assert(isp_fd >= 0);
LOGD("opened isp");
//icp_fd = open_v4l_by_name_and_index("cam-icp");
//assert(icp_fd >= 0);
//LOGD("opened icp");
icp_fd = open_v4l_by_name_and_index("cam-icp");
assert(icp_fd >= 0);
LOGD("opened icp");
// query ISP for MMU handles
LOG("-- Query for MMU handles");
@@ -215,7 +215,6 @@ void SpectraMaster::init() {
cdm_iommu = isp_query_cap_cmd.cdm_iommu.non_secure;
// query ICP for MMU handles
/*
struct cam_icp_query_cap_cmd icp_query_cap_cmd = {0};
query_cap_cmd.caps_handle = (uint64_t)&icp_query_cap_cmd;
query_cap_cmd.size = sizeof(icp_query_cap_cmd);
@@ -223,7 +222,6 @@ void SpectraMaster::init() {
assert(ret == 0);
LOGD("using ICP MMU handle: %x", icp_query_cap_cmd.dev_iommu_handle.non_secure);
icp_device_iommu = icp_query_cap_cmd.dev_iommu_handle.non_secure;
*/
// subscribe
LOG("-- Subscribing");
@@ -675,18 +673,21 @@ void SpectraCamera::enqueue_buffer(int i, bool dp) {
uint64_t request_id = request_ids[i];
if (sync_objs[i]) {
// wait
// SOF has come in, wait until readout is complete
struct cam_sync_wait sync_wait = {0};
sync_wait.sync_obj = sync_objs[i];
sync_wait.timeout_ms = 50; // max dt tolerance, typical should be 23
sync_wait.timeout_ms = 100;
ret = do_sync_control(m->cam_sync_fd, CAM_SYNC_WAIT, &sync_wait, sizeof(sync_wait));
if (ret != 0) {
LOGE("failed to wait for sync: %d %d", ret, sync_wait.sync_obj);
// TODO: handle frame drop cleanly
// when this happens, it messes up future frames
LOGE("failed to wait for sync: %d %d", ret, sync_wait.sync_obj);
}
buf.frame_metadata[i].timestamp_end_of_isp = (uint64_t)nanos_since_boot();
buf.frame_metadata[i].timestamp_eof = buf.frame_metadata[i].timestamp_sof + sensor->readout_time_ns;
if (dp) buf.queue(i);
if (dp) {
buf.queue(i);
}
// destroy old output fence
for (auto so : {sync_objs, sync_objs_bps_out}) {
@@ -709,13 +710,13 @@ void SpectraCamera::enqueue_buffer(int i, bool dp) {
}
sync_objs[i] = sync_create.sync_obj;
/*
ret = do_cam_control(m->cam_sync_fd, CAM_SYNC_CREATE, &sync_create, sizeof(sync_create));
if (ret != 0) {
LOGE("failed to create fence: %d %d", ret, sync_create.sync_obj);
if (icp_dev_handle > 0) {
ret = do_cam_control(m->cam_sync_fd, CAM_SYNC_CREATE, &sync_create, sizeof(sync_create));
if (ret != 0) {
LOGE("failed to create fence: %d %d", ret, sync_create.sync_obj);
}
sync_objs_bps_out[i] = sync_create.sync_obj;
}
sync_objs_bps_out[i] = sync_create.sync_obj;
*/
// schedule request with camera request manager
struct cam_req_mgr_sched_request req_mgr_sched_request = {0};
@@ -743,8 +744,10 @@ void SpectraCamera::camera_map_bufs() {
mem_mgr_map_cmd.flags = CAM_MEM_FLAG_HW_READ_WRITE;
mem_mgr_map_cmd.mmu_hdls[0] = m->device_iommu;
mem_mgr_map_cmd.num_hdl = 1;
//mem_mgr_map_cmd.mmu_hdls[1] = m->icp_device_iommu;
//mem_mgr_map_cmd.num_hdl = 2;
if (icp_dev_handle > 0) {
mem_mgr_map_cmd.num_hdl = 2;
mem_mgr_map_cmd.mmu_hdls[1] = m->icp_device_iommu;
}
if (is_raw) {
// RAW bayer images
@@ -896,8 +899,6 @@ void SpectraCamera::configISP() {
}
void SpectraCamera::configICP() {
if (!enabled) return;
/*
Configures both the ICP and BPS.
*/
@@ -1045,6 +1046,10 @@ void SpectraCamera::camera_close() {
// release devices
LOGD("-- Release devices");
if (icp_dev_handle > 0) {
ret = device_control(m->icp_fd, CAM_RELEASE_DEV, session_handle, icp_dev_handle);
LOGD("release icp: %d", ret);
}
ret = device_control(m->isp_fd, CAM_RELEASE_DEV, session_handle, isp_dev_handle);
LOGD("release isp: %d", ret);
ret = device_control(csiphy_fd, CAM_RELEASE_DEV, session_handle, csiphy_dev_handle);

View File

@@ -22,8 +22,9 @@ const int MIPI_SETTLE_CNT = 33; // Calculated by camera_freqs.py
// CSLDeviceType/CSLPacketOpcodesIFE from camx
// cam_packet_header.op_code = (device << 24) | (opcode);
#define CSLDeviceTypeImageSensor (0x1 << 24)
#define CSLDeviceTypeIFE (0xF << 24)
#define CSLDeviceTypeImageSensor (0x01 << 24)
#define CSLDeviceTypeIFE (0x0F << 24)
#define CSLDeviceTypeBPS (0x10 << 24)
#define OpcodesIFEInitialConfig 0x0
#define OpcodesIFEUpdate 0x1

View File

@@ -10,7 +10,7 @@ echo 0 | sudo tee /sys/module/cam_debug_util/parameters/debug_mdl
sudo dmesg -C
scons -u -j8 --minimal .
export DEBUG_FRAMES=1
#export DISABLE_ROAD=1 DISABLE_WIDE_ROAD=1
export DISABLE_DRIVER=1
#export LOGPRINT=debug
export DISABLE_ROAD=1 DISABLE_WIDE_ROAD=1
#export DISABLE_DRIVER=1
export LOGPRINT=debug
./camerad

View File

@@ -0,0 +1,13 @@
#!/usr/bin/env bash
set -e
cd /sys/kernel/debug/tracing
echo "" > trace
echo 1 > tracing_on
#echo Y > /sys/kernel/debug/camera_icp/a5_debug_q
echo 0x1 > /sys/kernel/debug/camera_icp/a5_debug_type
echo 1 > /sys/kernel/debug/tracing/events/camera/enable
echo 0xffffffff > /sys/kernel/debug/camera_icp/a5_debug_lvl
echo 1 > /sys/kernel/debug/tracing/events/camera/cam_icp_fw_dbg/enable
cat /sys/kernel/debug/tracing/trace_pipe

View File

@@ -28,6 +28,7 @@ public:
static void reboot() {}
static void poweroff() {}
static void set_brightness(int percent) {}
static void set_ir_power(int percentage) {}
static void set_display_power(bool on) {}
static bool get_ssh_enabled() { return false; }

View File

@@ -1,7 +1,9 @@
#!/usr/bin/env python3
import fcntl
import os
import json
import queue
import struct
import threading
import time
from collections import OrderedDict, namedtuple
@@ -59,6 +61,40 @@ def set_offroad_alert_if_changed(offroad_alert: str, show_alert: bool, extra_tex
prev_offroad_states[offroad_alert] = (show_alert, extra_text)
set_offroad_alert(offroad_alert, show_alert, extra_text)
def touch_thread(end_event):
count = 0
pm = messaging.PubMaster(["touch"])
event_format = "llHHi"
event_size = struct.calcsize(event_format)
event_frame = []
with open("/dev/input/by-path/platform-894000.i2c-event", "rb") as event_file:
fcntl.fcntl(event_file, fcntl.F_SETFL, os.O_NONBLOCK)
while not end_event.is_set():
if (count % int(1. / DT_HW)) == 0:
event = event_file.read(event_size)
if event:
(sec, usec, etype, code, value) = struct.unpack(event_format, event)
if etype != 0 or code != 0 or value != 0:
touch = log.Touch.new_message()
touch.sec = sec
touch.usec = usec
touch.type = etype
touch.code = code
touch.value = value
event_frame.append(touch)
else: # end of frame, push new log
msg = messaging.new_message('touch', len(event_frame), valid=True)
msg.touch = event_frame
pm.send('touch', msg)
event_frame = []
continue
count += 1
time.sleep(DT_HW)
def hw_state_thread(end_event, hw_queue):
"""Handles non critical hardware state, and sends over queue"""
@@ -420,6 +456,9 @@ def main():
threading.Thread(target=hardware_thread, args=(end_event, hw_queue)),
]
if TICI:
threads.append(threading.Thread(target=touch_thread, args=(end_event,)))
for t in threads:
t.start()

View File

@@ -1,19 +1,19 @@
[
{
"name": "boot",
"url": "https://commadist.azureedge.net/agnosupdate/boot-45e107ad65e6cc9ee95dc139f9ed11d56ef7f5f0657f579498a4a48f0a2f7ea3.img.xz",
"hash": "45e107ad65e6cc9ee95dc139f9ed11d56ef7f5f0657f579498a4a48f0a2f7ea3",
"hash_raw": "45e107ad65e6cc9ee95dc139f9ed11d56ef7f5f0657f579498a4a48f0a2f7ea3",
"size": 16418816,
"url": "https://commadist.azureedge.net/agnosupdate/boot-62d10fad3f057dad70a803c74b584296120ed4216a6b67c83f052f0186f73e50.img.xz",
"hash": "62d10fad3f057dad70a803c74b584296120ed4216a6b67c83f052f0186f73e50",
"hash_raw": "62d10fad3f057dad70a803c74b584296120ed4216a6b67c83f052f0186f73e50",
"size": 16422912,
"sparse": false,
"full_check": true,
"has_ab": true
},
{
"name": "system",
"url": "https://commadist.azureedge.net/agnosupdate/system-c0d738052c77f97b10bcea111479ddabd3fde2653d50533dd0fa2b17bb7881e9.img.xz",
"hash": "c0d738052c77f97b10bcea111479ddabd3fde2653d50533dd0fa2b17bb7881e9",
"hash_raw": "c0d738052c77f97b10bcea111479ddabd3fde2653d50533dd0fa2b17bb7881e9",
"url": "https://commadist.azureedge.net/agnosupdate/system-70c493b8407ba3e315807042448cd957bcf53e81014440195e3dfd25fd60f53c.img.xz",
"hash": "70c493b8407ba3e315807042448cd957bcf53e81014440195e3dfd25fd60f53c",
"hash_raw": "70c493b8407ba3e315807042448cd957bcf53e81014440195e3dfd25fd60f53c",
"size": 4404019200,
"sparse": false,
"full_check": false,
@@ -21,9 +21,9 @@
},
{
"name": "xbl",
"url": "https://commadist.azureedge.net/agnosupdate/xbl-bece486a68d9470c165e87955e451339cd86ada6ca2c7fde13c49144624ce030.img.xz",
"hash": "bece486a68d9470c165e87955e451339cd86ada6ca2c7fde13c49144624ce030",
"hash_raw": "bece486a68d9470c165e87955e451339cd86ada6ca2c7fde13c49144624ce030",
"url": "https://commadist.azureedge.net/agnosupdate/xbl-468f1ad6ab55e198647ff9191f91bd2918db9c0a3e27bae5673b4c5575c1254c.img.xz",
"hash": "468f1ad6ab55e198647ff9191f91bd2918db9c0a3e27bae5673b4c5575c1254c",
"hash_raw": "468f1ad6ab55e198647ff9191f91bd2918db9c0a3e27bae5673b4c5575c1254c",
"size": 3282256,
"sparse": false,
"full_check": true,
@@ -41,9 +41,9 @@
},
{
"name": "xbl_config",
"url": "https://commadist.azureedge.net/agnosupdate/xbl_config-868b6f9aa98871dc50ef191a2d8f432578d1eca84f87d9185f8fb61242c3b66f.img.xz",
"hash": "868b6f9aa98871dc50ef191a2d8f432578d1eca84f87d9185f8fb61242c3b66f",
"hash_raw": "868b6f9aa98871dc50ef191a2d8f432578d1eca84f87d9185f8fb61242c3b66f",
"url": "https://commadist.azureedge.net/agnosupdate/xbl_config-92b675dc2862ed15c732d91d9eb307d7e852e349217db8bee8f8829db543686b.img.xz",
"hash": "92b675dc2862ed15c732d91d9eb307d7e852e349217db8bee8f8829db543686b",
"hash_raw": "92b675dc2862ed15c732d91d9eb307d7e852e349217db8bee8f8829db543686b",
"size": 98124,
"sparse": false,
"full_check": true,
@@ -51,9 +51,9 @@
},
{
"name": "devcfg",
"url": "https://commadist.azureedge.net/agnosupdate/devcfg-c27dc9ab628015ef265e1204ca736b2838ec179e9ecdd79e2ddb59d984b78df1.img.xz",
"hash": "c27dc9ab628015ef265e1204ca736b2838ec179e9ecdd79e2ddb59d984b78df1",
"hash_raw": "c27dc9ab628015ef265e1204ca736b2838ec179e9ecdd79e2ddb59d984b78df1",
"url": "https://commadist.azureedge.net/agnosupdate/devcfg-225b24ea7b1d2fee7f7d2da21386920ddacac2e33e9e938168436292f4eae180.img.xz",
"hash": "225b24ea7b1d2fee7f7d2da21386920ddacac2e33e9e938168436292f4eae180",
"hash_raw": "225b24ea7b1d2fee7f7d2da21386920ddacac2e33e9e938168436292f4eae180",
"size": 40336,
"sparse": false,
"full_check": true,
@@ -61,9 +61,9 @@
},
{
"name": "aop",
"url": "https://commadist.azureedge.net/agnosupdate/aop-588bb60f0f8194d2df12f041e320a6dfeafae7209b312be3e4f6fe0744192837.img.xz",
"hash": "588bb60f0f8194d2df12f041e320a6dfeafae7209b312be3e4f6fe0744192837",
"hash_raw": "588bb60f0f8194d2df12f041e320a6dfeafae7209b312be3e4f6fe0744192837",
"url": "https://commadist.azureedge.net/agnosupdate/aop-f0fcf7611d0890a72984f15a516dd37fa532dfcb70d428a8406838cf74ce23d5.img.xz",
"hash": "f0fcf7611d0890a72984f15a516dd37fa532dfcb70d428a8406838cf74ce23d5",
"hash_raw": "f0fcf7611d0890a72984f15a516dd37fa532dfcb70d428a8406838cf74ce23d5",
"size": 184364,
"sparse": false,
"full_check": true,

View File

@@ -4,6 +4,7 @@
#include <fstream>
#include <map>
#include <string>
#include <algorithm> // for std::clamp
#include "common/params.h"
#include "common/util.h"
@@ -25,7 +26,13 @@ public:
}
static cereal::InitData::DeviceType get_device_type() {
return (get_name() == "tizi") ? cereal::InitData::DeviceType::TIZI : (get_name() == "mici" ? cereal::InitData::DeviceType::MICI : cereal::InitData::DeviceType::TICI);
static const std::map<std::string, cereal::InitData::DeviceType> device_map = {
{"tici", cereal::InitData::DeviceType::TICI},
{"tizi", cereal::InitData::DeviceType::TIZI},
{"mici", cereal::InitData::DeviceType::MICI}
};
auto it = device_map.find(get_name());
return it != device_map.end() ? it->second : cereal::InitData::DeviceType::UNKNOWN;
}
static int get_voltage() { return std::atoi(util::read_file("/sys/class/hwmon/hwmon1/in1_input").c_str()); }
@@ -68,6 +75,28 @@ public:
}
}
static void set_ir_power(int percent) {
auto device = get_device_type();
if (device == cereal::InitData::DeviceType::TICI ||
device == cereal::InitData::DeviceType::TIZI) {
return;
}
percent = std::clamp(percent, 0, 100);
std::ofstream torch_brightness("/sys/class/leds/led:torch_2/brightness");
if (torch_brightness.is_open()) {
torch_brightness << percent << "\n";
torch_brightness.close();
}
std::ofstream switch_brightness("/sys/class/leds/led:switch_2/brightness");
if (switch_brightness.is_open()) {
switch_brightness << percent << "\n";
switch_brightness.close();
}
}
static std::map<std::string, std::string> get_init_logs() {
std::map<std::string, std::string> ret = {
{"/BUILD", util::read_file("/BUILD")},

View File

@@ -505,8 +505,8 @@ class Tici(HardwareBase):
pass
# eSIM prime
if sim_id.startswith('8985235'):
dest = "/etc/NetworkManager/system-connections/esim.nmconnection"
dest = "/etc/NetworkManager/system-connections/esim.nmconnection"
if sim_id.startswith('8985235') and not os.path.exists(dest):
with open(Path(__file__).parent/'esim.nmconnection') as f, tempfile.NamedTemporaryFile(mode='w') as tf:
dat = f.read()
dat = dat.replace("sim-id=", f"sim-id={sim_id}")

View File

@@ -31,9 +31,9 @@ class Proc:
PROCS = [
Proc(['camerad'], 2.1, msgs=['roadCameraState', 'wideRoadCameraState', 'driverCameraState']),
Proc(['camerad'], 1.75, msgs=['roadCameraState', 'wideRoadCameraState', 'driverCameraState']),
Proc(['modeld'], 1.12, atol=0.2, msgs=['modelV2']),
Proc(['dmonitoringmodeld'], 0.5, msgs=['driverStateV2']),
Proc(['dmonitoringmodeld'], 0.65, msgs=['driverStateV2']),
Proc(['encoderd'], 0.23, msgs=[]),
]

View File

@@ -5,7 +5,7 @@ import time
from typing import NoReturn
import cereal.messaging as messaging
from openpilot.common.time import system_time_valid
from openpilot.common.time import min_date, system_time_valid
from openpilot.common.swaglog import cloudlog
from openpilot.common.params import Params
from openpilot.common.gps import get_gps_location_service
@@ -26,10 +26,10 @@ def set_time(new_time):
def main() -> NoReturn:
"""
timed has one responsibility:
- getting the current time
timed has two responsibilities:
- getting the current time from GPS
- publishing the time in the logs
GPS directly gives time.
AGNOS will also use NTP to update the time.
"""
@@ -47,14 +47,15 @@ def main() -> NoReturn:
pm.send('clocks', msg)
gps = sm[gps_location_service]
gps_time = datetime.datetime.fromtimestamp(gps.unixTimestampMillis / 1000.)
if not sm.updated[gps_location_service] or (time.monotonic() - sm.logMonoTime[gps_location_service] / 1e9) > 2.0:
continue
if not gps.hasFix:
continue
if gps_time < min_date():
continue
# set time
# TODO: account for unixTimesatmpMillis being a (usually short) time in the past
gps_time = datetime.datetime.fromtimestamp(gps.unixTimestampMillis / 1000.)
set_time(gps_time)
time.sleep(10)
if __name__ == "__main__":

View File

@@ -11,7 +11,7 @@ Welcome to the first part of the comma CTF!
getting started
```bash
# start the route reply
# start the route replay
cd tools/replay
./replay '0c7f0c7f0c7f0c7f|2021-10-13--13-00-00' --dcam --ecam

View File

@@ -6,7 +6,7 @@ openpilot is developed and tested on **Ubuntu 24.04**, which is the primary deve
Most of openpilot should work natively on macOS. On Windows you can use WSL for a nearly native Ubuntu experience. Running natively on any other system is not currently recommended and will likely require modifications.
## Native setup on Ubuntu 24.04
## Native setup on Ubuntu 24.04 and macOS
**1. Clone openpilot**
@@ -26,7 +26,7 @@ git clone --recurse-submodules https://github.com/commaai/openpilot.git
``` bash
cd openpilot
tools/ubuntu_setup.sh
tools/op.sh setup
```
**3. Git LFS**

View File

@@ -23,7 +23,6 @@ function install_ubuntu_common_requirements() {
$SUDO apt-get install -y --no-install-recommends \
ca-certificates \
clang \
cppcheck \
build-essential \
gcc-arm-none-eabi \
liblzma-dev \

View File

@@ -5,15 +5,12 @@ from urllib.parse import urlparse
from openpilot.tools.lib.url_file import URLFile
DATA_ENDPOINT = os.getenv("DATA_ENDPOINT", "http://data-raw.comma.internal/")
LOCAL_IPS = ["10.", "192.168.", *[f"172.{i}" for i in range(16, 32)]]
def internal_source_available(url=DATA_ENDPOINT):
try:
hostname = urlparse(url).hostname
port = urlparse(url).port or 80
if not socket.gethostbyname(hostname).startswith(LOCAL_IPS):
return False
with socket.socket(socket.AF_INET,socket.SOCK_STREAM) as s:
s.settimeout(0.5)
s.connect((hostname, port))

View File

@@ -5,6 +5,9 @@ DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null && pwd )"
ROOT="$(cd $DIR/../ && pwd)"
ARCH=$(uname -m)
# homebrew update is slow
export HOMEBREW_NO_AUTO_UPDATE=1
if [[ $SHELL == "/bin/zsh" ]]; then
RC_FILE="$HOME/.zshrc"
elif [[ $SHELL == "/bin/bash" ]]; then
@@ -28,7 +31,6 @@ if [[ $(command -v brew) == "" ]]; then
fi
brew bundle --file=- <<-EOS
brew "cppcheck"
brew "git-lfs"
brew "zlib"
brew "capnp"

View File

@@ -328,7 +328,8 @@ function op_switch() {
BRANCH="$1"
git fetch "$REMOTE" "$BRANCH"
git checkout -f --recurse-submodules "$BRANCH"
git checkout -f FETCH_HEAD
git checkout -B "$BRANCH" --track "$REMOTE"/"$BRANCH"
git reset --hard "${REMOTE}/${BRANCH}"
git clean -df
git submodule update --init --recursive

View File

@@ -12,8 +12,8 @@ from openpilot.common.realtime import Ratekeeper
DUAL_CAM = os.getenv("DUAL_CAMERA")
CameraType = namedtuple("CameraType", ["msg_name", "stream_type", "cam_id"])
CAMERAS = [
CameraType("roadCameraState", VisionStreamType.VISION_STREAM_ROAD, os.getenv("CAMERA_ROAD_ID", "0")),
CameraType("driverCameraState", VisionStreamType.VISION_STREAM_DRIVER, os.getenv("CAMERA_DRIVER_ID", "1")),
CameraType("roadCameraState", VisionStreamType.VISION_STREAM_ROAD, os.getenv("CAMERA_ROAD_ID", "/dev/video0")),
CameraType("driverCameraState", VisionStreamType.VISION_STREAM_DRIVER, os.getenv("CAMERA_DRIVER_ID", "/dev/video1")),
]
if DUAL_CAM:
CAMERAS.append(CameraType("wideRoadCameraState", VisionStreamType.VISION_STREAM_WIDE_ROAD, DUAL_CAM))
@@ -25,9 +25,10 @@ class Camerad:
self.cameras = []
for c in CAMERAS:
print(f"opening {c.msg_name} at {c.cam_id}")
cam = Camera(c.msg_name, c.stream_type, c.cam_id)
self.cameras.append(cam)
self.vipc_server.create_buffers(c.stream_type, 20, False, cam.W, cam.H)
self.vipc_server.create_buffers(c.stream_type, 20, cam.W, cam.H)
self.vipc_server.start_listener()

View File

@@ -5,9 +5,9 @@ export BLOCK="${BLOCK},camerad"
export USE_WEBCAM="1"
# Change camera index according to your setting
export CAMERA_ROAD_ID="0"
export CAMERA_DRIVER_ID="1"
export DUAL_CAMERA="2" # camera index for wide road camera
export CAMERA_ROAD_ID="/dev/video0"
export CAMERA_DRIVER_ID="/dev/video1"
#export DUAL_CAMERA="/dev/video2" # optional, camera index for wide road camera
DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null && pwd )"

414
uv.lock generated
View File

@@ -3,10 +3,10 @@ requires-python = ">=3.11, <=3.12"
resolution-markers = [
"python_full_version < '3.12' and platform_system == 'Darwin'",
"python_full_version < '3.12' and platform_machine == 'aarch64' and platform_system == 'Linux'",
"(python_full_version < '3.12' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version < '3.12' and platform_system != 'Darwin' and platform_system != 'Linux')",
"(python_full_version < '3.12' and platform_machine != 'aarch64' and platform_system == 'Linux') or (python_full_version < '3.12' and platform_system != 'Darwin' and platform_system != 'Linux')",
"python_full_version >= '3.12' and platform_system == 'Darwin'",
"python_full_version >= '3.12' and platform_machine == 'aarch64' and platform_system == 'Linux'",
"(python_full_version >= '3.12' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version >= '3.12' and platform_system != 'Darwin' and platform_system != 'Linux')",
"(python_full_version >= '3.12' and platform_machine != 'aarch64' and platform_system == 'Linux') or (python_full_version >= '3.12' and platform_system != 'Darwin' and platform_system != 'Linux')",
]
[[package]]
@@ -20,7 +20,7 @@ wheels = [
[[package]]
name = "aiohttp"
version = "3.11.9"
version = "3.11.10"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "aiohappyeyeballs" },
@@ -31,38 +31,38 @@ dependencies = [
{ name = "propcache" },
{ name = "yarl" },
]
sdist = { url = "https://files.pythonhosted.org/packages/3f/24/d5c0aed3ed90896f8505786e3a1e348fd9c61284ef21f54ee9cdf8b92e4f/aiohttp-3.11.9.tar.gz", hash = "sha256:a9266644064779840feec0e34f10a89b3ff1d2d6b751fe90017abcad1864fa7c", size = 7668012 }
sdist = { url = "https://files.pythonhosted.org/packages/94/c4/3b5a937b16f6c2a0ada842a9066aad0b7a5708427d4a202a07bf09c67cbb/aiohttp-3.11.10.tar.gz", hash = "sha256:b1fc6b45010a8d0ff9e88f9f2418c6fd408c99c211257334aff41597ebece42e", size = 7668832 }
wheels = [
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