Merge branch 'master-new' into dynamic-outputs-toggle

# Conflicts:
#	.github/workflows/selfdrive_tests.yaml
#	README.md
#	common/params_keys.h
#	opendbc_repo
#	panda
#	selfdrive/controls/lib/longitudinal_planner.py
#	selfdrive/controls/lib/tests/test_latcontrol.py
#	selfdrive/ui/soundd.py
#	selfdrive/ui/translations/main_ar.ts
#	selfdrive/ui/translations/main_de.ts
#	selfdrive/ui/translations/main_es.ts
#	selfdrive/ui/translations/main_fr.ts
#	selfdrive/ui/translations/main_ja.ts
#	selfdrive/ui/translations/main_ko.ts
#	selfdrive/ui/translations/main_pt-BR.ts
#	selfdrive/ui/translations/main_th.ts
#	selfdrive/ui/translations/main_tr.ts
#	selfdrive/ui/translations/main_zh-CHS.ts
#	selfdrive/ui/translations/main_zh-CHT.ts
#	tinygrad_repo

.codespellignore

@@ -2,3 +2,4 @@ Wen
 REGIST
 PullRequest
 cancelled
+FOF

.dockerignore

@@ -18,19 +18,6 @@
 
 venv/
 .venv/
-**/.idea
-**/.hypothesis
-**/.mypy_cache
-
-**/.venv
-**/.venv/
-
-**/.ci_cache
-**/*.rlog
-
-**/Dockerfile*
-**/dockerfile*
-**/build_output
 
 notebooks
 phone

.github/workflows/build-all-tinygrad-models.yaml

@@ -0,0 +1,226 @@
+name: Build All Tinygrad Models and Push to GitLab
+
+on:
+  workflow_dispatch:
+    inputs:
+      branch:
+        description: 'Branch to run workflow from'
+        required: false
+        default: 'master-new'
+        type: string
+
+jobs:
+  setup:
+    runs-on: ubuntu-latest
+    outputs:
+      json_file: ${{ steps.get-json.outputs.json_file }}
+    steps:
+      - name: Checkout docs repo
+        uses: actions/checkout@v4
+        with:
+          repository: sunnypilot/sunnypilot-docs
+          ref: gh-pages
+          path: docs
+          ssh-key: ${{ secrets.CI_SUNNYPILOT_DOCS_PRIVATE_KEY }}
+
+      - name: Get next JSON version to use
+        id: get-json
+        run: |
+          cd docs/docs
+          latest=$(ls driving_models_v*.json | sed -E 's/.*_v([0-9]+)\.json/\1/' | sort -n | tail -1)
+          next=$((latest+1))
+          json_file="driving_models_v${next}.json"
+          cp "driving_models_v${latest}.json" "$json_file"
+          echo "json_file=$json_file" >> $GITHUB_OUTPUT
+
+      - name: Upload context for next jobs
+        uses: actions/upload-artifact@v4
+        with:
+          name: context
+          path: docs
+
+  build-all:
+    runs-on: ubuntu-latest
+    needs: setup
+    env:
+      JSON_FILE: docs/docs/${{ needs.setup.outputs.json_file }}
+    steps:
+      - name: Set up SSH
+        uses: webfactory/ssh-agent@v0.9.0
+        with:
+          ssh-private-key: ${{ secrets.GITLAB_SSH_PRIVATE_KEY }}
+
+      - name: Add GitLab.com SSH key to known_hosts
+        run: |
+          mkdir -p ~/.ssh
+          ssh-keyscan -H gitlab.com >> ~/.ssh/known_hosts
+
+      - name: Clone GitLab docs repo
+        env:
+          GIT_SSH_COMMAND: 'ssh -o UserKnownHostsFile=~/.ssh/known_hosts'
+        run: |
+          echo "Cloning GitLab"
+          git clone --depth 1 --filter=tree:0 --sparse git@gitlab.com:sunnypilot/public/docs.sunnypilot.ai2.git gitlab_docs
+          cd gitlab_docs
+          git checkout main
+          cd ..
+
+      - name: Set next recompiled dir
+        id: set-recompiled
+        run: |
+          cd gitlab_docs/models
+          latest_dir=$(ls -d recompiled* 2>/dev/null | sed -E 's/recompiled([0-9]+)/\1/' | sort -n | tail -1)
+          if [[ -z "$latest_dir" ]]; then
+            next_dir=1
+          else
+            next_dir=$((latest_dir+1))
+          fi
+          recompiled_dir="recompiled${next_dir}"
+          mkdir -p "$recompiled_dir"
+          echo "RECOMPILED_DIR=$recompiled_dir" >> $GITHUB_ENV
+
+      - name: Download context
+        uses: actions/download-artifact@v4
+        with:
+          name: context
+          path: .
+
+      - name: Install dependencies
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y jq gh
+
+      - name: Build all tinygrad models
+        id: trigger-builds
+        env:
+          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        run: |
+          set -e
+          > triggered_run_ids.txt
+          BRANCH="${{ github.event.inputs.branch }}"
+          jq -c '.bundles[] | select(.runner=="tinygrad")' "$JSON_FILE" | while read -r bundle; do
+            ref=$(echo "$bundle" | jq -r '.ref')
+            display_name=$(echo "$bundle" | jq -r '.display_name' | sed 's/ ([^)]*)//g')
+            is_20hz=$(echo "$bundle" | jq -r '.is_20hz')
+            echo "Triggering build for: $display_name ($ref) [20Hz: $is_20hz]"
+            START_TIME=$(date -u +"%Y-%m-%dT%H:%M:%SZ")
+            gh workflow run sunnypilot-build-model.yaml \
+              --repo sunnypilot/sunnypilot \
+              --ref "$BRANCH" \
+              -f upstream_branch="$ref" \
+              -f custom_name="$display_name" \
+              -f is_20hz="$is_20hz"
+            for i in {1..24}; do
+              RUN_ID=$(gh run list --repo sunnypilot/sunnypilot --workflow=sunnypilot-build-model.yaml --branch="$BRANCH" --created ">$START_TIME" --limit=1 --json databaseId --jq '.[0].databaseId')
+              if [ -n "$RUN_ID" ]; then
+                break
+              fi
+              sleep 5
+            done
+            if [ -z "$RUN_ID" ]; then
+              echo "ould not find the triggered workflow run for $display_name ($ref)"
+              exit 1
+            fi
+            echo "$RUN_ID" >> triggered_run_ids.txt
+          done
+
+      - name: Wait for all model builds to finish
+        env:
+          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        run: |
+          set -e
+          SUCCESS_RUNS=()
+          FAILED_RUNS=()
+          declare -A RUN_ID_TO_NAME
+
+          while read -r RUN_ID; do
+            ARTIFACT_NAME=$(gh api repos/sunnypilot/sunnypilot/actions/runs/$RUN_ID/artifacts --jq '.artifacts[] | select(.name | startswith("model-")) | .name' || echo "unknown")
+            RUN_ID_TO_NAME["$RUN_ID"]="$ARTIFACT_NAME"
+          done < triggered_run_ids.txt
+
+          while read -r RUN_ID; do
+            echo "Watching run ID: $RUN_ID"
+            gh run watch "$RUN_ID" --repo sunnypilot/sunnypilot
+            CONCLUSION=$(gh run view "$RUN_ID" --repo sunnypilot/sunnypilot --json conclusion --jq '.conclusion')
+            ARTIFACT_NAME="${RUN_ID_TO_NAME[$RUN_ID]}"
+            echo "Run $RUN_ID ($ARTIFACT_NAME) concluded with: $CONCLUSION"
+            if [[ "$CONCLUSION" == "success" ]]; then
+              SUCCESS_RUNS+=("$RUN_ID")
+            else
+              FAILED_RUNS+=("$RUN_ID")
+            fi
+          done < triggered_run_ids.txt
+
+          if [[ ${#SUCCESS_RUNS[@]} -eq 0 ]]; then
+            echo "All model builds failed. Aborting."
+            exit 1
+          fi
+
+          if [[ ${#FAILED_RUNS[@]} -gt 0 ]]; then
+            echo "WARNING: The following model builds failed:"
+            for RUN_ID in "${FAILED_RUNS[@]}"; do
+              echo "- $RUN_ID (${RUN_ID_TO_NAME[$RUN_ID]})"
+            done
+            echo "You may want to rerun these models manually."
+          fi
+
+      - name: Download and extract all model artifacts
+        env:
+          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        run: |
+          ARTIFACT_DIR="gitlab_docs/models/$RECOMPILED_DIR"
+          SUCCESS_RUNS=()
+          while read -r RUN_ID; do
+            CONCLUSION=$(gh run view "$RUN_ID" --repo sunnypilot/sunnypilot --json conclusion --jq '.conclusion')
+            if [[ "$CONCLUSION" == "success" ]]; then
+              SUCCESS_RUNS+=("$RUN_ID")
+            fi
+          done < triggered_run_ids.txt
+
+          for RUN_ID in "${SUCCESS_RUNS[@]}"; do
+            ARTIFACT_NAME=$(gh api repos/sunnypilot/sunnypilot/actions/runs/$RUN_ID/artifacts --jq '.artifacts[] | select(.name | startswith("model-")) | .name')
+            echo "Downloading artifact: $ARTIFACT_NAME from run: $RUN_ID"
+            mkdir -p "$ARTIFACT_DIR/$ARTIFACT_NAME"
+            echo "Created directory: $ARTIFACT_DIR/$ARTIFACT_NAME"
+            gh run download "$RUN_ID" --repo sunnypilot/sunnypilot -n "$ARTIFACT_NAME" --dir "$ARTIFACT_DIR/$ARTIFACT_NAME"
+            echo "Downloaded artifact zip(s) to: $ARTIFACT_DIR/$ARTIFACT_NAME"
+            ZIP_PATH=$(find "$ARTIFACT_DIR/$ARTIFACT_NAME" -type f -name '*.zip' | head -n1)
+            if [ -n "$ZIP_PATH" ]; then
+              echo "Unzipping $ZIP_PATH to $ARTIFACT_DIR/$ARTIFACT_NAME"
+              unzip -o "$ZIP_PATH" -d "$ARTIFACT_DIR/$ARTIFACT_NAME"
+              rm -f "$ZIP_PATH"
+              echo "Unzipped and removed $ZIP_PATH"
+            else
+              echo "No zip file found in $ARTIFACT_DIR/$ARTIFACT_NAME (This is NOT an error)."
+            fi
+            echo "Done processing $ARTIFACT_NAME"
+          done
+
+      - name: Push recompiled dir to GitLab
+        env:
+          GITLAB_SSH_PRIVATE_KEY: ${{ secrets.GITLAB_SSH_PRIVATE_KEY }}
+        run: |
+          cd gitlab_docs
+          git checkout main
+          mkdir -p models/"$(basename $RECOMPILED_DIR)"
+          git add models/"$(basename $RECOMPILED_DIR)"
+          git config --global user.name "GitHub Action"
+          git config --global user.email "action@github.com"
+          git commit -m "Add $(basename $RECOMPILED_DIR) from build-all-tinygrad-models"
+          git push origin main
+
+      - name: Run json_parser.py to update JSON
+        run: |
+          python3 docs/json_parser.py \
+            --json-path "$JSON_FILE" \
+            --recompiled-dir "gitlab_docs/models/$RECOMPILED_DIR"
+
+      - name: Push updated JSON to GitHub docs repo
+        run: |
+          cd docs
+          git config --global user.name "GitHub Action"
+          git config --global user.email "action@github.com"
+          git checkout gh-pages
+          git add docs/"$(basename $JSON_FILE)"
+          git commit -m "Update $(basename $JSON_FILE) after recompiling models" || echo "No changes to commit"
+          git push origin gh-pages

.github/workflows/build-single-tinygrad-model.yaml

@@ -0,0 +1,198 @@
+name: Build Single Tinygrad Model and Push
+
+on:
+  workflow_dispatch:
+    inputs:
+      build_model_ref:
+        description: 'Branch to use for build-model workflow'
+        required: false
+        default: 'master-new'
+        type: string
+      upstream_branch:
+        description: 'Upstream commit to build from'
+        required: true
+        type: string
+      custom_name:
+        description: 'Custom name for the model (no date, only name)'
+        required: false
+        type: string
+      recompiled_dir:
+        description: 'Existing recompiled directory number (e.g. 3 for recompiled3)'
+        required: true
+        type: number
+      json_version:
+        description: 'driving_models version number to update (e.g. 5 for driving_models_v5.json)'
+        required: true
+        type: number
+      model_folder:
+        description: 'Model folder'
+        required: true
+        type: choice
+        options:
+          - Simple Plan Models
+          - TR Models
+          - DTR Models
+          - Custom Merge Models
+          - FOF series models
+          - Other
+      custom_model_folder:
+        description: 'Custom model folder name (if "Other" selected)'
+        required: false
+        type: string
+      generation:
+        description: 'Model generation'
+        required: false
+        type: number
+      version:
+        description: 'Minimum selector version'
+        required: false
+        type: number
+
+jobs:
+  build-single:
+    runs-on: ubuntu-latest
+    env:
+      RECOMPILED_DIR: recompiled${{ github.event.inputs.recompiled_dir }}
+      JSON_FILE: docs/docs/driving_models_v${{ github.event.inputs.json_version }}.json
+    steps:
+      - name: Set up SSH
+        uses: webfactory/ssh-agent@v0.9.0
+        with:
+          ssh-private-key: ${{ secrets.GITLAB_SSH_PRIVATE_KEY }}
+
+      - name: Add GitLab.com SSH key to known_hosts
+        run: |
+          mkdir -p ~/.ssh
+          ssh-keyscan -H gitlab.com >> ~/.ssh/known_hosts
+
+      - name: Clone GitLab docs repo
+        env:
+          GIT_SSH_COMMAND: 'ssh -o UserKnownHostsFile=~/.ssh/known_hosts'
+        run: |
+          echo "Cloning GitLab"
+          git clone --depth 1 --filter=tree:0 --sparse git@gitlab.com:sunnypilot/public/docs.sunnypilot.ai2.git gitlab_docs
+          cd gitlab_docs
+          echo "checkout models/${RECOMPILED_DIR}"
+          git sparse-checkout set --no-cone models/${RECOMPILED_DIR}
+          git checkout main
+          cd ..
+
+      - name: Checkout docs repo
+        uses: actions/checkout@v4
+        with:
+          repository: sunnypilot/sunnypilot-docs
+          ref: gh-pages
+          path: docs
+          ssh-key: ${{ secrets.CI_SUNNYPILOT_DOCS_PRIVATE_KEY }}
+
+      - name: Validate recompiled dir and JSON version
+        run: |
+          if [ ! -d "gitlab_docs/models/$RECOMPILED_DIR" ]; then
+            echo "Recompiled dir $RECOMPILED_DIR does not exist in GitLab repo"
+            exit 1
+          fi
+          if [ ! -f "$JSON_FILE" ]; then
+            echo "JSON file $JSON_FILE does not exist!"
+            exit 1
+          fi
+
+      - name: Install dependencies
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y jq gh
+
+      - name: Build model
+        env:
+          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        run: |
+          START_TIME=$(date -u +"%Y-%m-%dT%H:%M:%SZ")
+          gh workflow run sunnypilot-build-model.yaml \
+            --repo sunnypilot/sunnypilot \
+            --ref "${{ github.event.inputs.build_model_ref }}" \
+            -f upstream_branch="${{ github.event.inputs.upstream_branch }}" \
+            -f custom_name="${{ github.event.inputs.custom_name }}"
+
+          for i in {1..24}; do
+            RUN_ID=$(gh run list --repo sunnypilot/sunnypilot --workflow=sunnypilot-build-model.yaml --branch="${{ github.event.inputs.build_model_ref }}" --created ">$START_TIME" --limit=1 --json databaseId --jq '.[0].databaseId')
+            if [ -n "$RUN_ID" ]; then
+              break
+            fi
+            sleep 5
+          done
+
+          if [ -z "$RUN_ID" ]; then
+            echo "Could not find the triggered workflow run."
+            exit 1
+          fi
+
+          echo "Watching run ID: $RUN_ID"
+          gh run watch "$RUN_ID" --repo sunnypilot/sunnypilot
+          CONCLUSION=$(gh run view "$RUN_ID" --repo sunnypilot/sunnypilot --json conclusion --jq '.conclusion')
+          echo "Run concluded with: $CONCLUSION"
+          if [[ "$CONCLUSION" != "success" ]]; then
+            echo "Workflow run failed with conclusion: $CONCLUSION"
+            exit 1
+          fi
+
+      - name: Download and extract model artifact
+        env:
+          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        run: |
+          ARTIFACT_DIR="gitlab_docs/models/$RECOMPILED_DIR"
+          RUN_ID=$(gh run list --repo sunnypilot/sunnypilot --workflow=sunnypilot-build-model.yaml --branch="${{ github.event.inputs.build_model_ref }}" --limit=1 --json databaseId --jq '.[0].databaseId')
+          ARTIFACT_NAME=$(gh api repos/sunnypilot/sunnypilot/actions/runs/$RUN_ID/artifacts --jq '.artifacts[] | select(.name | startswith("model-")) | .name')
+          echo "Downloading artifact: $ARTIFACT_NAME from run: $RUN_ID"
+          mkdir -p "$ARTIFACT_DIR/$ARTIFACT_NAME"
+          echo "Created directory: $ARTIFACT_DIR/$ARTIFACT_NAME"
+          gh run download "$RUN_ID" --repo sunnypilot/sunnypilot -n "$ARTIFACT_NAME" --dir "$ARTIFACT_DIR/$ARTIFACT_NAME"
+          echo "Downloaded artifact zip(s) to: $ARTIFACT_DIR/$ARTIFACT_NAME"
+          ZIP_PATH=$(find "$ARTIFACT_DIR/$ARTIFACT_NAME" -type f -name '*.zip' | head -n1)
+          if [ -n "$ZIP_PATH" ]; then
+            echo "Unzipping $ZIP_PATH to $ARTIFACT_DIR/$ARTIFACT_NAME"
+            unzip -o "$ZIP_PATH" -d "$ARTIFACT_DIR/$ARTIFACT_NAME"
+            rm -f "$ZIP_PATH"
+            echo "Unzipped and removed $ZIP_PATH"
+          else
+            echo "No zip file found in $ARTIFACT_DIR/$ARTIFACT_NAME"
+          fi
+          echo "Done processing $ARTIFACT_NAME"
+
+      - name: Push recompiled dir to GitLab
+        env:
+          GITLAB_SSH_PRIVATE_KEY: ${{ secrets.GITLAB_SSH_PRIVATE_KEY }}
+        run: |
+          cd gitlab_docs
+          git checkout main
+          for d in models/"$RECOMPILED_DIR"/*/; do
+            git sparse-checkout add "$d"
+          done
+          git add models/"$RECOMPILED_DIR"
+          git config --global user.name "GitHub Action"
+          git config --global user.email "action@github.com"
+          git commit -m "Update $RECOMPILED_DIR with new/updated model from build-single-tinygrad-model" || echo "No changes to commit"
+          git push origin main
+
+      - name: Run json_parser.py to update JSON
+        run: |
+          FOLDER="${{ github.event.inputs.model_folder }}"
+          if [ "$FOLDER" = "Other" ]; then
+            FOLDER="${{ github.event.inputs.custom_model_folder }}"
+          fi
+          ARGS=""
+          [ -n "$FOLDER" ] && ARGS="$ARGS --model-folder \"$FOLDER\""
+          [ -n "${{ github.event.inputs.generation }}" ] && ARGS="$ARGS --generation \"${{ github.event.inputs.generation }}\""
+          [ -n "${{ github.event.inputs.version }}" ] && ARGS="$ARGS --version \"${{ github.event.inputs.version }}\""
+          eval python3 docs/json_parser.py \
+            --json-path "$JSON_FILE" \
+            --recompiled-dir "gitlab_docs/models/$RECOMPILED_DIR" \
+            $ARGS
+
+      - name: Push updated JSON to GitHub docs repo
+        run: |
+          cd docs
+          git config --global user.name "GitHub Action"
+          git config --global user.email "action@github.com"
+          git checkout gh-pages
+          git add docs/"$(basename $JSON_FILE)"
+          git commit -m "Update $(basename $JSON_FILE) after recompiling model" || echo "No changes to commit"
+          git push origin gh-pages

.github/workflows/selfdrive_tests.yaml

@@ -29,7 +29,7 @@ env:
 
   RUN: docker run --shm-size 2G -v $PWD:/tmp/openpilot -w /tmp/openpilot -e CI=1 -e PYTHONWARNINGS=error -e FILEREADER_CACHE=1 -e PYTHONPATH=/tmp/openpilot -e NUM_JOBS -e JOB_ID -e GITHUB_ACTION -e GITHUB_REF -e GITHUB_HEAD_REF -e GITHUB_SHA -e GITHUB_REPOSITORY -e GITHUB_RUN_ID -v $GITHUB_WORKSPACE/.ci_cache/scons_cache:/tmp/scons_cache -v $GITHUB_WORKSPACE/.ci_cache/comma_download_cache:/tmp/comma_download_cache -v $GITHUB_WORKSPACE/.ci_cache/openpilot_cache:/tmp/openpilot_cache $BASE_IMAGE /bin/bash -c
 
-  PYTEST: pytest --continue-on-collection-errors --cov --cov-report=xml --cov-append --durations=0 --durations-min=5 --hypothesis-seed 0 -n logical
+  PYTEST: pytest --continue-on-collection-errors --durations=0 --durations-min=5 -n logical
 
 jobs:
   build_release:
@@ -163,12 +163,6 @@ jobs:
                         ./selfdrive/ui/tests/create_test_translations.sh && \
                         QT_QPA_PLATFORM=offscreen ./selfdrive/ui/tests/test_translations && \
                         chmod -R 777 /tmp/comma_download_cache"
-    - name: "Upload coverage to Codecov"
-      uses: codecov/codecov-action@v4
-      with:
-        name: ${{ github.job }}
-      env:
-        CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
 
   process_replay:
     name: process replay
@@ -192,10 +186,8 @@ jobs:
     - name: Run replay
       timeout-minutes: ${{ contains(runner.name, 'nsc') && (steps.dependency-cache.outputs.cache-hit == 'true') && 1 || 20 }}
       run: |
-        ${{ env.RUN }} "coverage run selfdrive/test/process_replay/test_processes.py -j$(nproc) && \
+        ${{ env.RUN }} "selfdrive/test/process_replay/test_processes.py -j$(nproc) && \
-                        chmod -R 777 /tmp/comma_download_cache && \
+                        chmod -R 777 /tmp/comma_download_cache"
-                        coverage combine && \
-                        coverage xml"
     - name: Print diff
       id: print-diff
       if: always()
@@ -207,7 +199,7 @@ jobs:
         name: process_replay_diff.txt
         path: selfdrive/test/process_replay/diff.txt
     - name: Upload reference logs
-      if: ${{ failure() && steps.print-diff.outcome == 'success' && github.repository == 'commaai/openpilot' && env.AZURE_TOKEN != '' }}
+      if: false # TODO: move this to github instead of azure
       run: |
         ${{ env.RUN }} "unset PYTHONWARNINGS && AZURE_TOKEN='$AZURE_TOKEN' python3 selfdrive/test/process_replay/test_processes.py -j$(nproc) --upload-only"
     - name: Run regen
@@ -216,12 +208,6 @@ jobs:
       run: |
         ${{ env.RUN }} "ONNXCPU=1 $PYTEST selfdrive/test/process_replay/test_regen.py && \
                         chmod -R 777 /tmp/comma_download_cache"
-    - name: "Upload coverage to Codecov"
-      uses: codecov/codecov-action@v4
-      with:
-        name: ${{ github.job }}
-      env:
-        CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
 
   test_cars:
     name: cars
@@ -252,12 +238,6 @@ jobs:
       env:
         NUM_JOBS: 4
         JOB_ID: ${{ matrix.job }}
-    - name: "Upload coverage to Codecov"
-      uses: codecov/codecov-action@v4
-      with:
-        name: ${{ github.job }}-${{ matrix.job }}
-      env:
-        CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
 
   car_docs_diff:
     name: PR comments

.github/workflows/stale.yaml

@@ -7,6 +7,7 @@ on:
 env:
   DAYS_BEFORE_PR_CLOSE: 2
   DAYS_BEFORE_PR_STALE: 9
+  DAYS_BEFORE_PR_STALE_DRAFT: 30
 
 jobs:
   stale:
@@ -24,6 +25,28 @@ jobs:
           exempt-pr-labels: "ignore stale,needs testing" # if wip or it needs testing from the community, don't mark as stale
           days-before-pr-stale: ${{ env.DAYS_BEFORE_PR_STALE }}
           days-before-pr-close: ${{ env.DAYS_BEFORE_PR_CLOSE }}
+          exempt-draft-pr: false
+
+          # issue config
+          days-before-issue-stale: -1 # ignore issues for now
+
+  # same as above, but give draft PRs more time
+  stale_drafts:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/stale@v9
+        with:
+          exempt-all-milestones: true
+
+          # pull request config
+          stale-pr-message: 'This PR has had no activity for ${{ env.DAYS_BEFORE_PR_STALE_DRAFT }} days. It will be automatically closed in ${{ env.DAYS_BEFORE_PR_CLOSE }} days if there is no activity.'
+          close-pr-message: 'This PR has been automatically closed due to inactivity. Feel free to re-open once activity resumes.'
+          stale-pr-label: stale
+          delete-branch: ${{ github.event.pull_request.head.repo.full_name == 'commaai/openpilot' }} # only delete branches on the main repo
+          exempt-pr-labels: "ignore stale,needs testing" # if wip or it needs testing from the community, don't mark as stale
+          days-before-pr-stale: ${{ env.DAYS_BEFORE_PR_STALE_DRAFT }}
+          days-before-pr-close: ${{ env.DAYS_BEFORE_PR_CLOSE }}
+          exempt-draft-pr: true
 
           # issue config
           days-before-issue-stale: -1 # ignore issues for now

.gitignore

@@ -70,8 +70,6 @@ flycheck_*
 cppcheck_report.txt
 comma*.sh
 
-selfdrive/modeld/thneed/compile
-selfdrive/modeld/models/*.thneed
 selfdrive/modeld/models/*.pkl
 sunnypilot/modeld*/thneed/compile
 sunnypilot/modeld*/models/*.thneed

Dockerfile.sunnypilot

@@ -1,66 +0,0 @@
-FROM sunnypilot-base
-
-ARG RUNNER_DEBUG=0
-
-ENV PYTHONUNBUFFERED=1
-ENV OPENPILOT_SRC_PATH=/tmp/openpilot
-ENV BUILD_DIR=/data/openpilot
-ENV OUTPUT_DIR=/output
-
-RUN sudo apt update && sudo apt install -y rsync
-
-RUN mkdir -p ${OPENPILOT_SRC_PATH}
-RUN mkdir -p ${BUILD_DIR}
-COPY . ${OPENPILOT_SRC_PATH}
-ENV PYTHONPATH=${BUILD_DIR}
-
-WORKDIR ${OPENPILOT_SRC_PATH}
-RUN ./tools/ubuntu_setup.sh
-
-RUN ./release/release_files.py | sort | uniq | rsync -rRl${RUNNER_DEBUG:+v} --files-from=- . $BUILD_DIR/
-WORKDIR ${BUILD_DIR}
-RUN sed -i '/from .board.jungle import PandaJungle, PandaJungleDFU/s/^/#/' panda/__init__.py
-RUN scons --cache-readonly -j$(nproc) --minimal
-RUN touch ${BUILD_DIR}/prebuilt
-RUN sudo rm -rf ${OUTPUT_DIR}
-RUN mkdir -p ${OUTPUT_DIR}
-
-ENTRYPOINT [\
-  "rsync", \
-  "-am", \
-  "--include=**/panda/board/", \
-  "--include=**/panda/board/obj", \
-  "--include=**/panda/board/obj/panda.bin.signed", \
-  "--include=**/panda/board/obj/panda_h7.bin.signed", \
-  "--include=**/panda/board/obj/bootstub.panda.bin", \
-  "--include=**/panda/board/obj/bootstub.panda_h7.bin", \
-  "--exclude=.sconsign.dblite", \
-  "--exclude=*.a", \
-  "--exclude=*.o", \
-  "--exclude=*.os", \
-  "--exclude=*.pyc", \
-  "--exclude=moc_*", \
-  "--exclude=*.cc", \
-  "--exclude=Jenkinsfile", \
-  "--exclude=supercombo.onnx", \
-  "--exclude=**/panda/board/*", \
-  "--exclude=**/panda/board/obj/**", \
-  "--exclude=**/panda/certs/", \
-  "--exclude=**/panda/crypto/", \
-  "--exclude=**/release/", \
-  "--exclude=**/.github/", \
-  "--exclude=**/selfdrive/ui/replay/", \
-  "--exclude=**/__pycache__/", \
-  "--exclude=**/selfdrive/ui/*.h", \
-  "--exclude=**/selfdrive/ui/**/*.h", \
-  "--exclude=**/selfdrive/ui/qt/offroad/sunnypilot/", \
-  #"--exclude=${SCONS_CACHE_DIR:-}", \
-  "--exclude=**/.git/", \
-  "--exclude=**/SConstruct", \
-  "--exclude=**/SConscript", \
-  "--exclude=**/.venv/", \
-  "--delete-excluded", \
-  "--chown=1000:1000", \
-  "/data/openpilot/", \
-  "/output/" \
-]

README.md

@@ -73,7 +73,7 @@ By default, sunnypilot uploads the driving data to comma servers. You can also a
 sunnypilot is open source software. The user is free to disable data collection if they wish to do so.
 
 sunnypilot logs the road-facing camera, CAN, GPS, IMU, magnetometer, thermal sensors, crashes, and operating system logs.
-The driver-facing camera is only logged if you explicitly opt-in in settings. The microphone is not recorded.
+The driver-facing camera and microphone are only logged if you explicitly opt-in in settings.
 
 By using this software, you understand that use of this software or its related services will generate certain types of user data, which may be logged and stored at the sole discretion of comma. By accepting this agreement, you grant an irrevocable, perpetual, worldwide right to comma for the use of this data.
 

RELEASES.md

@@ -1,5 +1,11 @@
-Version 0.9.10 (2025-06-30)
+Version 0.10.0 (2025-07-07)
 ========================
+* New driving model
+  * Lead car ground-truth fixes
+  * Ported over VAE from the MLSIM stack
+  * New training architecture described in CVPR paper
+* Enable live-learned steering actuation delay
+* Opt-in audio recording for dashcam video
 
 Version 0.9.9 (2025-05-23)
 ========================

SConstruct

@@ -39,10 +39,6 @@ AddOption('--clazy',
           action='store_true',
           help='build with clazy')
 
-AddOption('--compile_db',
-          action='store_true',
-          help='build clang compilation database')
-
 AddOption('--ccflags',
           action='store',
           type='string',
@@ -234,8 +230,7 @@ if arch == "Darwin":
   darwin_rpath_link_flags = [f"-Wl,-rpath,{path}" for path in env["RPATH"]]
   env["LINKFLAGS"] += darwin_rpath_link_flags
 
-if GetOption('compile_db'):
+env.CompilationDatabase('compile_commands.json')
-  env.CompilationDatabase('compile_commands.json')
 
 # Setup cache dir
 default_cache_dir = '/data/scons_cache' if AGNOS else '/tmp/scons_cache'

cereal/log.capnp

@@ -1083,7 +1083,7 @@ struct ModelDataV2 {
   confidence @23: ConfidenceClass;
 
   # Model perceived motion
-  temporalPose @21 :Pose;
+  temporalPoseDEPRECATED @21 :Pose;
 
   # e2e lateral planner
   action @26: Action;
@@ -2470,13 +2470,19 @@ struct DebugAlert {
 struct UserFlag {
 }
 
-struct Microphone {
+struct SoundPressure @0xdc24138990726023 {
   soundPressure @0 :Float32;
 
   # uncalibrated, A-weighted
   soundPressureWeighted @3 :Float32;
   soundPressureWeightedDb @1 :Float32;
-  filteredSoundPressureWeightedDb @2 :Float32;
+
+  filteredSoundPressureWeightedDbDEPRECATED @2 :Float32;
+}
+
+struct AudioData {
+  data @0 :Data;
+  sampleRate @1 :UInt32;
 }
 
 struct Touch {
@@ -2556,7 +2562,8 @@ struct Event {
     livestreamDriverEncodeIdx @119 :EncodeIndex;
 
     # microphone data
-    microphone @103 :Microphone;
+    soundPressure @103 :SoundPressure;
+    rawAudioData @147 :AudioData;
 
     # systems stuff
     androidLog @20 :AndroidLogEntry;

cereal/services.py

@@ -73,7 +73,8 @@ _services: dict[str, tuple] = {
   "navThumbnail": (True, 0.),
   "qRoadEncodeIdx": (False, 20.),
   "userFlag": (True, 0., 1),
-  "microphone": (True, 10., 10),
+  "soundPressure": (True, 10., 10),
+  "rawAudioData": (False, 20.),
 
   # sunnypilot
   "modelManagerSP": (False, 1., 1),

codecov.yml

@@ -1,13 +0,0 @@
-comment: false
-coverage:
-  status:
-    project:
-      default:
-        informational: true
-    patch: off
-
-ignore:
-  - "**/test_*.py"
-  - "selfdrive/test/**"
-  - "system/version.py" # codecov changes depending on if we are in a branch or not
-  - "tools"

common/model.h

@@ -1 +1 @@
-#define DEFAULT_MODEL "Vegetarian Filet o Fish (Default)"
+#define DEFAULT_MODEL "Tomb Raider 14 (Default)"

common/params_keys.h

@@ -99,9 +99,10 @@ inline static std::unordered_map<std::string, uint32_t> keys = {
     {"PandaSomResetTriggered", CLEAR_ON_MANAGER_START | CLEAR_ON_OFFROAD_TRANSITION},
     {"PandaSignatures", CLEAR_ON_MANAGER_START},
     {"PrimeType", PERSISTENT},
+    {"RecordAudio", PERSISTENT | BACKUP},
     {"RecordFront", PERSISTENT | BACKUP},
     {"RecordFrontLock", PERSISTENT},  // for the internal fleet
-    {"SecOCKey", PERSISTENT | DONT_LOG},  // Candidate for | BACKUP
+    {"SecOCKey", PERSISTENT | DONT_LOG | BACKUP},
     {"RouteCount", PERSISTENT},
     {"SnoozeUpdate", CLEAR_ON_MANAGER_START | CLEAR_ON_OFFROAD_TRANSITION},
     {"SshEnabled", PERSISTENT | BACKUP},
@@ -150,6 +151,7 @@ inline static std::unordered_map<std::string, uint32_t> keys = {
     {"MadsUnifiedEngagementMode", PERSISTENT | BACKUP},
 
     // Model Manager params
+    {"DynamicModeldOutputs", PERSISTENT | BACKUP},
     {"ModelManager_ActiveBundle", PERSISTENT},
     {"ModelManager_DownloadIndex", CLEAR_ON_MANAGER_START | CLEAR_ON_ONROAD_TRANSITION},
     {"ModelManager_LastSyncTime", CLEAR_ON_MANAGER_START | CLEAR_ON_OFFROAD_TRANSITION},

common/version.h

@@ -1 +1 @@
-#define COMMA_VERSION "0.9.10"
+#define COMMA_VERSION "0.10.0"

conftest.py

@@ -2,7 +2,6 @@ import contextlib
 import gc
 import os
 import pytest
-import random
 
 from openpilot.common.prefix import OpenpilotPrefix
 from openpilot.system.manager import manager
@@ -49,8 +48,6 @@ def clean_env():
 
 @pytest.fixture(scope="function", autouse=True)
 def openpilot_function_fixture(request):
-  random.seed(0)
-
   with clean_env():
     # setup a clean environment for each test
     with OpenpilotPrefix(shared_download_cache=request.node.get_closest_marker("shared_download_cache") is not None) as prefix:

docs/CARS.md

@@ -187,7 +187,7 @@ A supported vehicle is one that just works when you install a comma device. All
 |Lexus|GS F 2016|All|Stock|19 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-empty.svg)](##)|<details><summary>Parts</summary><sub>- 1 Toyota A connector<br>- 1 comma 3X<br>- 1 comma power v3<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=Lexus&model=GS F 2016">Buy Here</a></sub></details>|||
 |Lexus|IS 2017-19|All|Stock|19 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-empty.svg)](##)|<details><summary>Parts</summary><sub>- 1 Toyota A connector<br>- 1 comma 3X<br>- 1 comma power v3<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=Lexus&model=IS 2017-19">Buy Here</a></sub></details>|||
 |Lexus|IS 2022-24|All|openpilot|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|<details><summary>Parts</summary><sub>- 1 Toyota A connector<br>- 1 comma 3X<br>- 1 comma power v3<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=Lexus&model=IS 2022-24">Buy Here</a></sub></details>|||
-|Lexus|LC 2024|All|openpilot|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|<details><summary>Parts</summary><sub>- 1 Toyota A connector<br>- 1 comma 3X<br>- 1 comma power v3<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=Lexus&model=LC 2024">Buy Here</a></sub></details>|||
+|Lexus|LC 2024-25|All|openpilot|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|<details><summary>Parts</summary><sub>- 1 Toyota A connector<br>- 1 comma 3X<br>- 1 comma power v3<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=Lexus&model=LC 2024-25">Buy Here</a></sub></details>|||
 |Lexus|NX 2018-19|All|openpilot available[<sup>2</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-empty.svg)](##)|<details><summary>Parts</summary><sub>- 1 Toyota A connector<br>- 1 comma 3X<br>- 1 comma power v3<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=Lexus&model=NX 2018-19">Buy Here</a></sub></details>|||
 |Lexus|NX 2020-21|All|openpilot|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|<details><summary>Parts</summary><sub>- 1 Toyota A connector<br>- 1 comma 3X<br>- 1 comma power v3<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=Lexus&model=NX 2020-21">Buy Here</a></sub></details>|||
 |Lexus|NX Hybrid 2018-19|All|openpilot available[<sup>2</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-empty.svg)](##)|<details><summary>Parts</summary><sub>- 1 Toyota A connector<br>- 1 comma 3X<br>- 1 comma power v3<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=Lexus&model=NX Hybrid 2018-19">Buy Here</a></sub></details>|||

pyproject.toml

@@ -81,11 +81,9 @@ docs = [
 ]
 
 testing = [
-  "coverage",
   "hypothesis ==6.47.*",
   "mypy",
   "pytest",
-  "pytest-cov",
   "pytest-cpp",
   "pytest-subtests",
   # https://github.com/pytest-dev/pytest-xdist/issues/1215
@@ -266,8 +264,5 @@ lint.flake8-implicit-str-concat.allow-multiline = false
 "unittest".msg = "Use pytest"
 "pyray.measure_text_ex".msg = "Use openpilot.system.ui.lib.text_measure"
 
-[tool.coverage.run]
-concurrency = ["multiprocessing", "thread"]
-
 [tool.ruff.format]
 quote-style = "preserve"

release/ci/docker_build_sp.sh

@@ -1,51 +0,0 @@
-#!/bin/sh
-# run_openpilot_docker.sh
-# POSIX-compliant script to run openpilot in Docker for local testing
-
-# === Configurable Variables ===
-
-# Base image to use (required)
-BASE_IMAGE="${BASE_IMAGE:-commaai/openpilot-base:latest}"
-
-# Working directory inside the container
-WORKDIR="/tmp/openpilot"
-
-# Local project path
-LOCAL_DIR="$PWD"
-
-# Shared memory size (adjust for large builds/tests)
-SHM_SIZE="2G"
-
-# Environment configuration
-CI=1
-PYTHONWARNINGS="error"
-FILEREADER_CACHE=1
-PYTHONPATH="$WORKDIR"
-
-# Optional: GitHub Actions env vars — set them only if needed for local mirroring/debug
-USE_GITHUB_ENV_VARS=false  # set to true to enable GitHub-related mounts/envs
-GITHUB_WORKSPACE="${GITHUB_WORKSPACE:-$HOME/openpilot_ci}"  # fallback path
-
-# === Docker Command ===
-
-docker run --rm \
-  --shm-size "$SHM_SIZE" \
-  -v "$LOCAL_DIR":"$WORKDIR" \
-  -w "$WORKDIR" \
-  -e CI="$CI" \
-  -e PYTHONWARNINGS="$PYTHONWARNINGS" \
-  -e FILEREADER_CACHE="$FILEREADER_CACHE" \
-  -e PYTHONPATH="$PYTHONPATH" \
-  ${USE_GITHUB_ENV_VARS:+\
-  -e NUM_JOBS \
-  -e JOB_ID \
-  -e GITHUB_ACTION \
-  -e GITHUB_REF \
-  -e GITHUB_HEAD_REF \
-  -e GITHUB_SHA \
-  -e GITHUB_REPOSITORY \
-  -e GITHUB_RUN_ID \
-  -v "$GITHUB_WORKSPACE/.ci_cache/scons_cache":/tmp/scons_cache \
-  -v "$GITHUB_WORKSPACE/.ci_cache/comma_download_cache":/tmp/comma_download_cache \
-  -v "$GITHUB_WORKSPACE/.ci_cache/openpilot_cache":/tmp/openpilot_cache } \
-  "$BASE_IMAGE" /bin/bash -c "${1:-/bin/bash}"

selfdrive/assets/icons/microphone.png

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9fc1f7f31d41f26ea7d6f52b3096f7a91844a3b897bc233a8489253c46f0403b
+size 6324

selfdrive/controls/lib/drive_helpers.py

@@ -1,5 +1,4 @@
 import numpy as np
-from cereal import log
 from opendbc.car.vehicle_model import ACCELERATION_DUE_TO_GRAVITY
 from openpilot.common.realtime import DT_CTRL, DT_MDL
 
@@ -40,14 +39,6 @@ def clip_curvature(v_ego, prev_curvature, new_curvature, roll):
   return float(new_curvature), limited_accel or limited_max_curv
 
 
-def get_speed_error(modelV2: log.ModelDataV2, v_ego: float) -> float:
-  # ToDo: Try relative error, and absolute speed
-  if len(modelV2.temporalPose.trans):
-    vel_err = np.clip(modelV2.temporalPose.trans[0] - v_ego, -MAX_VEL_ERR, MAX_VEL_ERR)
-    return float(vel_err)
-  return 0.0
-
-
 def get_accel_from_plan(speeds, accels, t_idxs, action_t=DT_MDL, vEgoStopping=0.05):
   if len(speeds) == len(t_idxs):
     v_now = speeds[0]

selfdrive/controls/lib/latcontrol_torque.py

@@ -31,7 +31,6 @@ class LatControlTorque(LatControl):
     self.pid = PIDController(self.torque_params.kp, self.torque_params.ki,
                              k_f=self.torque_params.kf, pos_limit=self.steer_max, neg_limit=-self.steer_max)
     self.torque_from_lateral_accel = CI.torque_from_lateral_accel()
-    self.use_steering_angle = self.torque_params.useSteeringAngle
     self.steering_angle_deadzone_deg = self.torque_params.steeringAngleDeadzoneDeg
 
     self.extension = LatControlTorqueExt(self, CP, CP_SP)
@@ -47,16 +46,9 @@ class LatControlTorque(LatControl):
       output_torque = 0.0
       pid_log.active = False
     else:
-      actual_curvature_vm = -VM.calc_curvature(math.radians(CS.steeringAngleDeg - params.angleOffsetDeg), CS.vEgo, params.roll)
+      actual_curvature = -VM.calc_curvature(math.radians(CS.steeringAngleDeg - params.angleOffsetDeg), CS.vEgo, params.roll)
       roll_compensation = params.roll * ACCELERATION_DUE_TO_GRAVITY
-      if self.use_steering_angle:
+      curvature_deadzone = abs(VM.calc_curvature(math.radians(self.steering_angle_deadzone_deg), CS.vEgo, 0.0))
-        actual_curvature = actual_curvature_vm
-        curvature_deadzone = abs(VM.calc_curvature(math.radians(self.steering_angle_deadzone_deg), CS.vEgo, 0.0))
-      else:
-        assert calibrated_pose is not None
-        actual_curvature_pose = calibrated_pose.angular_velocity.yaw / CS.vEgo
-        actual_curvature = np.interp(CS.vEgo, [2.0, 5.0], [actual_curvature_vm, actual_curvature_pose])
-        curvature_deadzone = 0.0
       desired_lateral_accel = desired_curvature * CS.vEgo ** 2
 
       # desired rate is the desired rate of change in the setpoint, not the absolute desired curvature

selfdrive/controls/lib/longitudinal_planner.py

@@ -11,7 +11,7 @@ from openpilot.selfdrive.modeld.constants import ModelConstants
 from openpilot.selfdrive.controls.lib.longcontrol import LongCtrlState
 from openpilot.selfdrive.controls.lib.longitudinal_mpc_lib.long_mpc import LongitudinalMpc
 from openpilot.selfdrive.controls.lib.longitudinal_mpc_lib.long_mpc import T_IDXS as T_IDXS_MPC
-from openpilot.selfdrive.controls.lib.drive_helpers import CONTROL_N, get_speed_error, get_accel_from_plan
+from openpilot.selfdrive.controls.lib.drive_helpers import CONTROL_N, get_accel_from_plan
 from openpilot.selfdrive.car.cruise import V_CRUISE_MAX, V_CRUISE_UNSET
 from openpilot.common.swaglog import cloudlog
 
@@ -54,6 +54,7 @@ class LongitudinalPlanner(LongitudinalPlannerSP):
   def __init__(self, CP, init_v=0.0, init_a=0.0, dt=DT_MDL):
     self.CP = CP
     self.mpc = LongitudinalMpc(dt=dt)
+    # TODO remove mpc modes when TR released
     self.mpc.mode = 'acc'
     LongitudinalPlannerSP.__init__(self, self.CP, self.mpc)
     self.fcw = False
@@ -63,7 +64,6 @@ class LongitudinalPlanner(LongitudinalPlannerSP):
     self.a_desired = init_a
     self.v_desired_filter = FirstOrderFilter(init_v, 2.0, self.dt)
     self.prev_accel_clip = [ACCEL_MIN, ACCEL_MAX]
-    self.v_model_error = 0.0
     self.output_a_target = 0.0
     self.output_should_stop = False
 
@@ -73,12 +73,12 @@ class LongitudinalPlanner(LongitudinalPlannerSP):
     self.solverExecutionTime = 0.0
 
   @staticmethod
-  def parse_model(model_msg, model_error):
+  def parse_model(model_msg):
     if (len(model_msg.position.x) == ModelConstants.IDX_N and
       len(model_msg.velocity.x) == ModelConstants.IDX_N and
       len(model_msg.acceleration.x) == ModelConstants.IDX_N):
-      x = np.interp(T_IDXS_MPC, ModelConstants.T_IDXS, model_msg.position.x) - model_error * T_IDXS_MPC
+      x = np.interp(T_IDXS_MPC, ModelConstants.T_IDXS, model_msg.position.x)
-      v = np.interp(T_IDXS_MPC, ModelConstants.T_IDXS, model_msg.velocity.x) - model_error
+      v = np.interp(T_IDXS_MPC, ModelConstants.T_IDXS, model_msg.velocity.x)
       a = np.interp(T_IDXS_MPC, ModelConstants.T_IDXS, model_msg.acceleration.x)
       j = np.zeros(len(T_IDXS_MPC))
     else:
@@ -137,9 +137,7 @@ class LongitudinalPlanner(LongitudinalPlannerSP):
 
     # Prevent divergence, smooth in current v_ego
     self.v_desired_filter.x = max(0.0, self.v_desired_filter.update(v_ego))
-    # Compute model v_ego error
+    x, v, a, j, throttle_prob = self.parse_model(sm['modelV2'])
-    self.v_model_error = get_speed_error(sm['modelV2'], v_ego)
-    x, v, a, j, throttle_prob = self.parse_model(sm['modelV2'], self.v_model_error)
     # Don't clip at low speeds since throttle_prob doesn't account for creep
     self.allow_throttle = throttle_prob > ALLOW_THROTTLE_THRESHOLD or v_ego <= MIN_ALLOW_THROTTLE_SPEED
 

selfdrive/locationd/lagd.py

@@ -157,8 +157,7 @@ class LateralLagEstimator:
                block_count: int = BLOCK_NUM, min_valid_block_count: int = BLOCK_NUM_NEEDED, block_size: int = BLOCK_SIZE,
                window_sec: float = MOVING_WINDOW_SEC, okay_window_sec: float = MIN_OKAY_WINDOW_SEC, min_recovery_buffer_sec: float = MIN_RECOVERY_BUFFER_SEC,
                min_vego: float = MIN_VEGO, min_yr: float = MIN_ABS_YAW_RATE, min_ncc: float = MIN_NCC,
-               max_lat_accel: float = MAX_LAT_ACCEL, max_lat_accel_diff: float = MAX_LAT_ACCEL_DIFF, min_confidence: float = MIN_CONFIDENCE,
+               max_lat_accel: float = MAX_LAT_ACCEL, max_lat_accel_diff: float = MAX_LAT_ACCEL_DIFF, min_confidence: float = MIN_CONFIDENCE):
-               enabled: bool = True):
     self.dt = dt
     self.window_sec = window_sec
     self.okay_window_sec = okay_window_sec
@@ -173,7 +172,6 @@ class LateralLagEstimator:
     self.min_confidence = min_confidence
     self.max_lat_accel = max_lat_accel
     self.max_lat_accel_diff = max_lat_accel_diff
-    self.enabled = enabled
 
     self.t = 0.0
     self.lat_active = False
@@ -208,7 +206,7 @@ class LateralLagEstimator:
     liveDelay = msg.liveDelay
 
     valid_mean_lag, valid_std, current_mean_lag, current_std = self.block_avg.get()
-    if self.enabled and self.block_avg.valid_blocks >= self.min_valid_block_count and not np.isnan(valid_mean_lag) and not np.isnan(valid_std):
+    if self.block_avg.valid_blocks >= self.min_valid_block_count and not np.isnan(valid_mean_lag) and not np.isnan(valid_std):
       if valid_std > MAX_LAG_STD:
         liveDelay.status = log.LiveDelayData.Status.invalid
       else:
@@ -371,10 +369,7 @@ def main():
   params = Params()
   CP = messaging.log_from_bytes(params.get("CarParams", block=True), car.CarParams)
 
-  # TODO: remove me, lagd is in shadow mode on release
+  lag_learner = LateralLagEstimator(CP, 1. / SERVICE_LIST['livePose'].frequency)
-  is_release = params.get_bool("IsReleaseBranch")
-
-  lag_learner = LateralLagEstimator(CP, 1. / SERVICE_LIST['livePose'].frequency, enabled=not is_release)
   if (initial_lag_params := retrieve_initial_lag(params, CP)) is not None:
     lag, valid_blocks = initial_lag_params
     lag_learner.reset(lag, valid_blocks)

selfdrive/locationd/test/test_lagd.py

@@ -110,19 +110,6 @@ class TestLagd:
         assert msg.liveDelay.validBlocks == BLOCK_NUM_NEEDED
         assert msg.liveDelay.calPerc == 100
 
-  def test_disabled_estimator(self):
-    mocked_CP = car.CarParams(steerActuatorDelay=0.8)
-    estimator = LateralLagEstimator(mocked_CP, DT, min_recovery_buffer_sec=0.0, min_yr=0.0, enabled=False)
-    lag_frames = 5
-    process_messages(estimator, lag_frames, int(MIN_OKAY_WINDOW_SEC / DT) + BLOCK_NUM_NEEDED * BLOCK_SIZE)
-    msg = estimator.get_msg(True)
-    assert msg.liveDelay.status == 'unestimated'
-    assert np.allclose(msg.liveDelay.lateralDelay, 1.0, atol=0.01)
-    assert np.allclose(msg.liveDelay.lateralDelayEstimate, lag_frames * DT, atol=0.01)
-    assert np.allclose(msg.liveDelay.lateralDelayEstimateStd, 0.0, atol=0.01)
-    assert msg.liveDelay.validBlocks == BLOCK_NUM_NEEDED
-    assert msg.liveDelay.calPerc == 100
-
   def test_estimator_masking(self):
     mocked_CP, lag_frames = car.CarParams(steerActuatorDelay=0.8), random.randint(1, 19)
     estimator = LateralLagEstimator(mocked_CP, DT, min_recovery_buffer_sec=0.0, min_yr=0.0, min_valid_block_count=1)

selfdrive/modeld/SConscript

@@ -56,17 +56,15 @@ for model_name in ['driving_vision', 'driving_policy', 'dmonitoring_model']:
   tg_compile(flags, model_name)
 
 # Compile BIG model if USB GPU is available
-import subprocess
+if "USBGPU" in os.environ:
-from tinygrad import Device
+  import subprocess
-
+  # because tg doesn't support multi-process
-# because tg doesn't support multi-process
+  devs = subprocess.check_output('python3 -c "from tinygrad import Device; print(list(Device.get_available_devices()))"', shell=True, cwd=env.Dir('#').abspath)
-devs = subprocess.check_output('python3 -c "from tinygrad import Device; print(list(Device.get_available_devices()))"', shell=True, cwd=env.Dir('#').abspath)
+  if b"AMD" in devs:
-if b"AMD" in devs:
+    print("USB GPU detected... building")
-  del Device
+    flags = "AMD=1 AMD_IFACE=USB AMD_LLVM=1 NOLOCALS=0 IMAGE=0"
-  print("USB GPU detected... building")
+    bp = tg_compile(flags, "big_driving_policy")
-  flags = "AMD=1 AMD_IFACE=USB AMD_LLVM=1 NOLOCALS=0 IMAGE=0"
+    bv = tg_compile(flags, "big_driving_vision")
-  bp = tg_compile(flags, "big_driving_policy")
+    lenv.SideEffect('lock', [bp, bv])  # tg doesn't support multi-process so build serially
-  bv = tg_compile(flags, "big_driving_vision")
+  else:
-  lenv.SideEffect('lock', [bp, bv])  # tg doesn't support multi-process so build serially
+    print("USB GPU not detected... skipping")
-else:
-  print("USB GPU not detected... skipping")

selfdrive/modeld/dmonitoringmodeld.py

@@ -14,7 +14,6 @@ import pickle
 import ctypes
 import numpy as np
 from pathlib import Path
-from setproctitle import setproctitle
 
 from cereal import messaging
 from cereal.messaging import PubMaster, SubMaster
@@ -25,7 +24,6 @@ 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.parse_model_outputs import sigmoid
-from openpilot.system import sentry
 
 MODEL_WIDTH, MODEL_HEIGHT = DM_INPUT_SIZE
 CALIB_LEN = 3
@@ -133,12 +131,8 @@ def get_driverstate_packet(model_output: np.ndarray, frame_id: int, location_ts:
 
 
 def main():
-  setproctitle(PROCESS_NAME)
   config_realtime_process(7, 5)
 
-  sentry.set_tag("daemon", PROCESS_NAME)
-  cloudlog.bind(daemon=PROCESS_NAME)
-
   cl_context = CLContext()
   model = ModelState(cl_context)
   cloudlog.warning("models loaded, dmonitoringmodeld starting")
@@ -180,7 +174,4 @@ if __name__ == "__main__":
   try:
     main()
   except KeyboardInterrupt:
-    cloudlog.warning(f"child {PROCESS_NAME} got SIGINT")
+    cloudlog.warning("got SIGINT")
-  except Exception:
-    sentry.capture_exception()
-    raise

selfdrive/modeld/fill_model_msg.py

@@ -89,13 +89,6 @@ def fill_model_msg(base_msg: capnp._DynamicStructBuilder, extended_msg: capnp._D
   fill_xyzt(modelV2.orientation, ModelConstants.T_IDXS, *net_output_data['plan'][0,:,Plan.T_FROM_CURRENT_EULER].T)
   fill_xyzt(modelV2.orientationRate, ModelConstants.T_IDXS, *net_output_data['plan'][0,:,Plan.ORIENTATION_RATE].T)
 
-  # temporal pose
-  temporal_pose = modelV2.temporalPose
-  temporal_pose.trans = net_output_data['sim_pose'][0,:ModelConstants.POSE_WIDTH//2].tolist()
-  temporal_pose.transStd = net_output_data['sim_pose_stds'][0,:ModelConstants.POSE_WIDTH//2].tolist()
-  temporal_pose.rot = net_output_data['sim_pose'][0,ModelConstants.POSE_WIDTH//2:].tolist()
-  temporal_pose.rotStd = net_output_data['sim_pose_stds'][0,ModelConstants.POSE_WIDTH//2:].tolist()
-
   # poly path
   fill_xyz_poly(driving_model_data.path, ModelConstants.POLY_PATH_DEGREE, *net_output_data['plan'][0,:,Plan.POSITION].T)
 

selfdrive/modeld/modeld.py

@@ -19,7 +19,6 @@ import numpy as np
 import cereal.messaging as messaging
 from cereal import car, log
 from pathlib import Path
-from setproctitle import setproctitle
 from cereal.messaging import PubMaster, SubMaster
 from msgq.visionipc import VisionIpcClient, VisionStreamType, VisionBuf
 from opendbc.car.car_helpers import get_demo_car_params
@@ -29,9 +28,8 @@ from openpilot.common.filter_simple import FirstOrderFilter
 from openpilot.common.realtime import config_realtime_process, DT_MDL
 from openpilot.common.transformations.camera import DEVICE_CAMERAS
 from openpilot.common.transformations.model import get_warp_matrix
-from openpilot.system import sentry
 from openpilot.selfdrive.controls.lib.desire_helper import DesireHelper
-from openpilot.selfdrive.controls.lib.drive_helpers import get_accel_from_plan, smooth_value
+from openpilot.selfdrive.controls.lib.drive_helpers import get_accel_from_plan, smooth_value, get_curvature_from_plan
 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, Plan
@@ -48,8 +46,8 @@ POLICY_PKL_PATH = Path(__file__).parent / 'models/driving_policy_tinygrad.pkl'
 VISION_METADATA_PATH = Path(__file__).parent / 'models/driving_vision_metadata.pkl'
 POLICY_METADATA_PATH = Path(__file__).parent / 'models/driving_policy_metadata.pkl'
 
-LAT_SMOOTH_SECONDS = 0.0
+LAT_SMOOTH_SECONDS = 0.1
-LONG_SMOOTH_SECONDS = 0.0
+LONG_SMOOTH_SECONDS = 0.3
 MIN_LAT_CONTROL_SPEED = 0.3
 
 
@@ -62,7 +60,11 @@ def get_action_from_model(model_output: dict[str, np.ndarray], prev_action: log.
                                                      action_t=long_action_t)
     desired_accel = smooth_value(desired_accel, prev_action.desiredAcceleration, LONG_SMOOTH_SECONDS)
 
-    desired_curvature = model_output['desired_curvature'][0, 0]
+    desired_curvature = get_curvature_from_plan(plan[:,Plan.T_FROM_CURRENT_EULER][:,2],
+                                                plan[:,Plan.ORIENTATION_RATE][:,2],
+                                                ModelConstants.T_IDXS,
+                                                v_ego,
+                                                lat_action_t)
     if v_ego > MIN_LAT_CONTROL_SPEED:
       desired_curvature = smooth_value(desired_curvature, prev_action.desiredCurvature, LAT_SMOOTH_SECONDS)
     else:
@@ -177,7 +179,7 @@ class ModelState:
     # TODO model only uses last value now
     self.full_prev_desired_curv[0,:-1] = self.full_prev_desired_curv[0,1:]
     self.full_prev_desired_curv[0,-1,:] = policy_outputs_dict['desired_curvature'][0, :]
-    self.numpy_inputs['prev_desired_curv'][:] = self.full_prev_desired_curv[0, self.temporal_idxs]
+    self.numpy_inputs['prev_desired_curv'][:] = 0*self.full_prev_desired_curv[0, self.temporal_idxs]
 
     combined_outputs_dict = {**vision_outputs_dict, **policy_outputs_dict}
     if SEND_RAW_PRED:
@@ -189,9 +191,6 @@ class ModelState:
 def main(demo=False):
   cloudlog.warning("modeld init")
 
-  sentry.set_tag("daemon", PROCESS_NAME)
-  cloudlog.bind(daemon=PROCESS_NAME)
-  setproctitle(PROCESS_NAME)
   if not USBGPU:
     # USB GPU currently saturates a core so can't do this yet,
     # also need to move the aux USB interrupts for good timings
@@ -379,7 +378,4 @@ if __name__ == "__main__":
     args = parser.parse_args()
     main(demo=args.demo)
   except KeyboardInterrupt:
-    cloudlog.warning(f"child {PROCESS_NAME} got SIGINT")
+    cloudlog.warning("got SIGINT")
-  except Exception:
-    sentry.capture_exception()
-    raise

selfdrive/modeld/models/driving_policy.onnx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5f714fb38bcd44b5d9f44e3a8e1595e1dfdf7558f0eec3485cf3f2dbb6dc7d8d
+oid sha256:1741cad23f6f451782b5db6182218749ee12072e393d57eac36d8d5c55d9358a
-size 15971805
+size 15583374

selfdrive/modeld/models/driving_vision.onnx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3ac4867fbc618037e8d03143edbfeeae960f2025644b5dcf36c6665271b4f874
+oid sha256:3d2bd82ba42341dba1bda5426e45c4c646db604c9ac422156eaa2b9ef26194f9
-size 34883375
+size 46265993

selfdrive/modeld/parse_model_outputs.py

@@ -88,6 +88,12 @@ class Parser:
     self.parse_mdn('pose', outs, in_N=0, out_N=0, out_shape=(ModelConstants.POSE_WIDTH,))
     self.parse_mdn('wide_from_device_euler', outs, in_N=0, out_N=0, out_shape=(ModelConstants.WIDE_FROM_DEVICE_WIDTH,))
     self.parse_mdn('road_transform', outs, in_N=0, out_N=0, out_shape=(ModelConstants.POSE_WIDTH,))
+    self.parse_mdn('lane_lines', outs, in_N=0, out_N=0, out_shape=(ModelConstants.NUM_LANE_LINES,ModelConstants.IDX_N,ModelConstants.LANE_LINES_WIDTH))
+    self.parse_mdn('road_edges', outs, in_N=0, out_N=0, out_shape=(ModelConstants.NUM_ROAD_EDGES,ModelConstants.IDX_N,ModelConstants.LANE_LINES_WIDTH))
+    self.parse_mdn('lead', outs, in_N=ModelConstants.LEAD_MHP_N, out_N=ModelConstants.LEAD_MHP_SELECTION,
+                   out_shape=(ModelConstants.LEAD_TRAJ_LEN,ModelConstants.LEAD_WIDTH))
+    for k in ['lead_prob', 'lane_lines_prob']:
+      self.parse_binary_crossentropy(k, outs)
     self.parse_categorical_crossentropy('desire_pred', outs, out_shape=(ModelConstants.DESIRE_PRED_LEN,ModelConstants.DESIRE_PRED_WIDTH))
     self.parse_binary_crossentropy('meta', outs)
     return outs
@@ -95,17 +101,10 @@ class Parser:
   def parse_policy_outputs(self, outs: dict[str, np.ndarray]) -> dict[str, np.ndarray]:
     self.parse_mdn('plan', outs, in_N=ModelConstants.PLAN_MHP_N, out_N=ModelConstants.PLAN_MHP_SELECTION,
                    out_shape=(ModelConstants.IDX_N,ModelConstants.PLAN_WIDTH))
-    self.parse_mdn('lane_lines', outs, in_N=0, out_N=0, out_shape=(ModelConstants.NUM_LANE_LINES,ModelConstants.IDX_N,ModelConstants.LANE_LINES_WIDTH))
-    self.parse_mdn('road_edges', outs, in_N=0, out_N=0, out_shape=(ModelConstants.NUM_ROAD_EDGES,ModelConstants.IDX_N,ModelConstants.LANE_LINES_WIDTH))
-    self.parse_mdn('sim_pose', outs, in_N=0, out_N=0, out_shape=(ModelConstants.POSE_WIDTH,))
-    self.parse_mdn('lead', outs, in_N=ModelConstants.LEAD_MHP_N, out_N=ModelConstants.LEAD_MHP_SELECTION,
-                   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']:
-      self.parse_binary_crossentropy(k, outs)
     self.parse_categorical_crossentropy('desire_state', outs, out_shape=(ModelConstants.DESIRE_PRED_WIDTH,))
     return outs
 

selfdrive/test/process_replay/ref_commit

@@ -1 +1 @@
-f440c9e0469d32d350aa99ddaa8f44591a2ce690
+de16c6fbe14e121c5e74cd944ce03a0e4672540d

selfdrive/ui/layouts/settings/settings.py

@@ -7,7 +7,7 @@ from openpilot.selfdrive.ui.layouts.settings.device import DeviceLayout
 from openpilot.selfdrive.ui.layouts.settings.firehose import FirehoseLayout
 from openpilot.selfdrive.ui.layouts.settings.software import SoftwareLayout
 from openpilot.selfdrive.ui.layouts.settings.toggles import TogglesLayout
-from openpilot.system.ui.lib.application import gui_app, FontWeight
+from openpilot.system.ui.lib.application import gui_app, FontWeight, MousePos
 from openpilot.system.ui.lib.text_measure import measure_text_cached
 from openpilot.selfdrive.ui.layouts.network import NetworkLayout
 from openpilot.system.ui.lib.widget import Widget
@@ -132,7 +132,7 @@ class SettingsLayout(Widget):
     if panel.instance:
       panel.instance.render(content_rect)
 
-  def _handle_mouse_release(self, mouse_pos: rl.Vector2) -> bool:
+  def _handle_mouse_release(self, mouse_pos: MousePos) -> bool:
     # Check close button
     if rl.check_collision_point_rec(mouse_pos, self._close_btn_rect):
       if self._close_callback:

selfdrive/ui/layouts/settings/toggles.py

@@ -22,6 +22,7 @@ DESCRIPTIONS = {
   "AlwaysOnDM": "Enable driver monitoring even when openpilot is not engaged.",
   'RecordFront': "Upload data from the driver facing camera and help improve the driver monitoring algorithm.",
   "IsMetric": "Display speed in km/h instead of mph.",
+  "RecordAudio": "Record and store microphone audio while driving. The audio will be included in the dashcam video in comma connect.",
 }
 
 
@@ -74,6 +75,12 @@ class TogglesLayout(Widget):
         self._params.get_bool("RecordFront"),
         icon="monitoring.png",
       ),
+      toggle_item(
+        "Record Microphone Audio",
+        DESCRIPTIONS["RecordAudio"],
+        self._params.get_bool("RecordAudio"),
+        icon="microphone.png",
+      ),
       toggle_item(
         "Use Metric System", DESCRIPTIONS["IsMetric"], self._params.get_bool("IsMetric"), icon="monitoring.png"
       ),

selfdrive/ui/layouts/sidebar.py

@@ -4,7 +4,7 @@ from dataclasses import dataclass
 from collections.abc import Callable
 from cereal import log
 from openpilot.selfdrive.ui.ui_state import ui_state
-from openpilot.system.ui.lib.application import gui_app, FontWeight
+from openpilot.system.ui.lib.application import gui_app, FontWeight, MousePos
 from openpilot.system.ui.lib.text_measure import measure_text_cached
 from openpilot.system.ui.lib.widget import Widget
 
@@ -135,7 +135,7 @@ class Sidebar(Widget):
     else:
       self._panda_status.update("VEHICLE", "ONLINE", Colors.GOOD)
 
-  def _handle_mouse_release(self, mouse_pos: rl.Vector2):
+  def _handle_mouse_release(self, mouse_pos: MousePos):
     if rl.check_collision_point_rec(mouse_pos, SETTINGS_BTN):
       if self._on_settings_click:
         self._on_settings_click()

selfdrive/ui/qt/offroad/settings.cc

@@ -68,6 +68,13 @@ TogglesPanel::TogglesPanel(SettingsWindow *parent) : ListWidget(parent) {
       "../assets/icons/monitoring.png",
       true,
     },
+    {
+      "RecordAudio",
+      tr("Record and Upload Microphone Audio"),
+      tr("Record and store microphone audio while driving. The audio will be included in the dashcam video in comma connect."),
+      "../assets/icons/microphone.png",
+      true,
+    },
     {
       "IsMetric",
       tr("Use Metric System"),
@@ -342,26 +349,22 @@ void DevicePanel::updateCalibDescription() {
     }
   }
 
-  const bool is_release = params.getBool("IsReleaseBranch");
+  int lag_perc = 0;
-  if (!is_release) {
+  std::string lag_bytes = params.get("LiveDelay");
-    int lag_perc = 0;
+  if (!lag_bytes.empty()) {
-    std::string lag_bytes = params.get("LiveDelay");
+    try {
-    if (!lag_bytes.empty()) {
+      AlignedBuffer aligned_buf;
-      try {
+      capnp::FlatArrayMessageReader cmsg(aligned_buf.align(lag_bytes.data(), lag_bytes.size()));
-        AlignedBuffer aligned_buf;
+      lag_perc = cmsg.getRoot<cereal::Event>().getLiveDelay().getCalPerc();
-        capnp::FlatArrayMessageReader cmsg(aligned_buf.align(lag_bytes.data(), lag_bytes.size()));
+    } catch (kj::Exception) {
-        lag_perc = cmsg.getRoot<cereal::Event>().getLiveDelay().getCalPerc();
+      qInfo() << "invalid LiveDelay";
-      } catch (kj::Exception) {
-        qInfo() << "invalid LiveDelay";
-      }
-    }
-    desc += "\n\n";
-    if (lag_perc < 100) {
-      desc += tr("Steering lag calibration is %1% complete.").arg(lag_perc);
-    } else {
-      desc += tr("Steering lag calibration is complete.");
     }
   }
+  if (lag_perc < 100) {
+    desc += tr("\n\nSteering lag calibration is %1% complete.").arg(lag_perc);
+  } else {
+    desc += tr("\n\nSteering lag calibration is complete.");
+  }
 
   std::string torque_bytes = params.get("LiveTorqueParameters");
   if (!torque_bytes.empty()) {
@@ -372,11 +375,10 @@ void DevicePanel::updateCalibDescription() {
       // don't add for non-torque cars
       if (torque.getUseParams()) {
         int torque_perc = torque.getCalPerc();
-        desc += is_release ? "\n\n" : " ";
         if (torque_perc < 100) {
-          desc += tr("Steering torque response calibration is %1% complete.").arg(torque_perc);
+          desc += tr(" Steering torque response calibration is %1% complete.").arg(torque_perc);
         } else {
-          desc += tr("Steering torque response calibration is complete.");
+          desc += tr(" Steering torque response calibration is complete.");
         }
       }
     } catch (kj::Exception) {

selfdrive/ui/qt/sidebar.cc

@@ -24,10 +24,11 @@ void Sidebar::drawMetric(QPainter &p, const QPair<QString, QString> &label, QCol
   p.drawText(rect.adjusted(22, 0, 0, 0), Qt::AlignCenter, label.first + "\n" + label.second);
 }
 
-Sidebar::Sidebar(QWidget *parent) : QFrame(parent), onroad(false), flag_pressed(false), settings_pressed(false) {
+Sidebar::Sidebar(QWidget *parent) : QFrame(parent), onroad(false), flag_pressed(false), settings_pressed(false), mic_indicator_pressed(false) {
   home_img = loadPixmap("../assets/images/button_home.png", home_btn.size());
   flag_img = loadPixmap("../assets/images/button_flag.png", home_btn.size());
   settings_img = loadPixmap("../assets/images/button_settings.png", settings_btn.size(), Qt::IgnoreAspectRatio);
+  mic_img = loadPixmap("../assets/icons/microphone.png", QSize(30, 30));
 
   connect(this, &Sidebar::valueChanged, [=] { update(); });
 
@@ -47,12 +48,15 @@ void Sidebar::mousePressEvent(QMouseEvent *event) {
   } else if (settings_btn.contains(event->pos())) {
     settings_pressed = true;
     update();
+  } else if (recording_audio && mic_indicator_btn.contains(event->pos())) {
+    mic_indicator_pressed = true;
+    update();
   }
 }
 
 void Sidebar::mouseReleaseEvent(QMouseEvent *event) {
-  if (flag_pressed || settings_pressed) {
+  if (flag_pressed || settings_pressed || mic_indicator_pressed) {
-    flag_pressed = settings_pressed = false;
+    flag_pressed = settings_pressed = mic_indicator_pressed = false;
     update();
   }
   if (onroad && home_btn.contains(event->pos())) {
@@ -61,6 +65,8 @@ void Sidebar::mouseReleaseEvent(QMouseEvent *event) {
     pm->send("userFlag", msg);
   } else if (settings_btn.contains(event->pos())) {
     emit openSettings();
+  } else if (recording_audio && mic_indicator_btn.contains(event->pos())) {
+    emit openSettings(2, "RecordAudio");
   }
 }
 
@@ -106,6 +112,8 @@ void Sidebar::updateState(const UIState &s) {
     pandaStatus = {{tr("NO"), tr("PANDA")}, danger_color};
   }
   setProperty("pandaStatus", QVariant::fromValue(pandaStatus));
+
+  setProperty("recordingAudio", s.scene.recording_audio);
 }
 
 void Sidebar::paintEvent(QPaintEvent *event) {
@@ -124,6 +132,14 @@ void Sidebar::drawSidebar(QPainter &p) {
   p.drawPixmap(settings_btn.x(), settings_btn.y(), settings_img);
   p.setOpacity(onroad && flag_pressed ? 0.65 : 1.0);
   p.drawPixmap(home_btn.x(), home_btn.y(), onroad ? flag_img : home_img);
+  if (recording_audio) {
+    p.setBrush(danger_color);
+    p.setOpacity(mic_indicator_pressed ? 0.65 : 1.0);
+    p.drawRoundedRect(mic_indicator_btn, mic_indicator_btn.height() / 2, mic_indicator_btn.height() / 2);
+    int icon_x = mic_indicator_btn.x() + (mic_indicator_btn.width() - mic_img.width()) / 2;
+    int icon_y = mic_indicator_btn.y() + (mic_indicator_btn.height() - mic_img.height()) / 2;
+    p.drawPixmap(icon_x, icon_y, mic_img);
+  }
   p.setOpacity(1.0);
 
   // network

selfdrive/ui/qt/sidebar.h

@@ -23,6 +23,7 @@ class Sidebar : public QFrame {
   Q_PROPERTY(ItemStatus tempStatus MEMBER temp_status NOTIFY valueChanged);
   Q_PROPERTY(QString netType MEMBER net_type NOTIFY valueChanged);
   Q_PROPERTY(int netStrength MEMBER net_strength NOTIFY valueChanged);
+  Q_PROPERTY(bool recordingAudio MEMBER recording_audio NOTIFY valueChanged);
 
 public:
   explicit Sidebar(QWidget* parent = 0);
@@ -42,8 +43,8 @@ protected:
   void drawMetric(QPainter &p, const QPair<QString, QString> &label, QColor c, int y);
   virtual void drawSidebar(QPainter &p);
 
-  QPixmap home_img, flag_img, settings_img;
+  QPixmap home_img, flag_img, settings_img, mic_img;
-  bool onroad, flag_pressed, settings_pressed;
+  bool onroad, recording_audio, flag_pressed, settings_pressed, mic_indicator_pressed;
   const QMap<cereal::DeviceState::NetworkType, QString> network_type = {
     {cereal::DeviceState::NetworkType::NONE, tr("--")},
     {cereal::DeviceState::NetworkType::WIFI, tr("Wi-Fi")},
@@ -56,6 +57,7 @@ protected:
 
   const QRect home_btn = QRect(60, 860, 180, 180);
   const QRect settings_btn = QRect(50, 35, 200, 117);
+  const QRect mic_indicator_btn = QRect(158, 252, 75, 40);
   const QColor good_color = QColor(255, 255, 255);
   const QColor warning_color = QColor(218, 202, 37);
   const QColor danger_color = QColor(201, 34, 49);

selfdrive/ui/soundd.py

@@ -139,7 +139,7 @@ class Soundd(QuietMode):
     # sounddevice must be imported after forking processes
     import sounddevice as sd
 
-    sm = messaging.SubMaster(['selfdriveState', 'microphone'])
+    sm = messaging.SubMaster(['selfdriveState', 'soundPressure'])
 
     with self.get_stream(sd) as stream:
       rk = Ratekeeper(20)
@@ -150,8 +150,8 @@ class Soundd(QuietMode):
 
         self.load_param()
 
-        if sm.updated['microphone'] and self.current_alert == AudibleAlert.none: # only update volume filter when not playing alert
+        if sm.updated['soundPressure'] and self.current_alert == AudibleAlert.none: # only update volume filter when not playing alert
-          self.spl_filter_weighted.update(sm["microphone"].soundPressureWeightedDb)
+          self.spl_filter_weighted.update(sm["soundPressure"].soundPressureWeightedDb)
           self.current_volume = self.calculate_volume(float(self.spl_filter_weighted.x))
 
         self.get_audible_alert(sm)

selfdrive/ui/sunnypilot/qt/offroad/settings/models_panel.cc

@@ -89,6 +89,14 @@ ModelsPanel::ModelsPanel(QWidget *parent) : QWidget(parent) {
 
   list->addItem(horizontal_line());
 
+  // Dynamic Modeld Outputs toggle
+  dynamicModeldOutputs = new ParamControlSP("DynamicModeldOutputs", tr("Allow Dynamic Model Outputs"),
+                                            tr("Enable this to allow potentially smoother Gas and Brake controls on all models produced "
+                                               "after September, 2024."),
+                                               "../assets/offroad/icon_shell.png");
+  dynamicModeldOutputs->showDescription();
+  list->addItem(dynamicModeldOutputs);
+
   // LiveDelay toggle
   lagd_toggle_control = new ParamControlSP("LagdToggle", tr("Live Learning Steer Delay"), "", "../assets/offroad/icon_shell.png");
   lagd_toggle_control->showDescription();
@@ -304,6 +312,7 @@ void ModelsPanel::updateLabels() {
   handleBundleDownloadProgress();
   currentModelLblBtn->setEnabled(!is_onroad && !isDownloading());
   currentModelLblBtn->setValue(GetActiveModelInternalName());
+  dynamicModeldOutputs->showDescription();
 
   // Update lagdToggle description with current value
   QString desc = tr("Enable this for the car to learn and adapt its steering response time. "

selfdrive/ui/sunnypilot/qt/offroad/settings/models_panel.h

@@ -64,6 +64,7 @@ private:
   bool is_onroad = false;
 
   ButtonControlSP *currentModelLblBtn;
+  ParamControlSP *dynamicModeldOutputs;
   ParamControlSP *lagd_toggle_control;
   OptionControlSP *delay_control;
   QProgressBar *supercomboProgressBar;

selfdrive/ui/ui.cc

@@ -61,6 +61,9 @@ void update_state(UIState *s) {
     scene.light_sensor = -1;
   }
   scene.started = sm["deviceState"].getDeviceState().getStarted() && scene.ignition;
+
+  auto params = Params();
+  scene.recording_audio = params.getBool("RecordAudio") && scene.started;
 }
 
 void ui_update_params(UIState *s) {

selfdrive/ui/ui.h

@@ -62,7 +62,7 @@ typedef struct UIScene {
   cereal::LongitudinalPersonality personality;
 
   float light_sensor = -1;
-  bool started, ignition, is_metric;
+  bool started, ignition, is_metric, recording_audio;
   uint64_t started_frame;
 } UIScene;
 

selfdrive/ui/ui_state.py

@@ -1,12 +1,20 @@
 import pyray as rl
+import numpy as np
 import time
+import threading
 from collections.abc import Callable
 from enum import Enum
 from cereal import messaging, log
+from openpilot.common.filter_simple import FirstOrderFilter
 from openpilot.common.params import Params, UnknownKeyName
+from openpilot.common.swaglog import cloudlog
 from openpilot.selfdrive.ui.lib.prime_state import PrimeState
+from openpilot.system.ui.lib.application import DEFAULT_FPS
+from openpilot.system.hardware import HARDWARE
+from openpilot.system.ui.lib.application import gui_app
 
 UI_BORDER_SIZE = 30
+BACKLIGHT_OFFROAD = 50
 
 
 class UIStatus(Enum):
@@ -139,10 +147,15 @@ class UIState:
 class Device:
   def __init__(self):
     self._ignition = False
-    self._interaction_time: float = 0.0
+    self._interaction_time: float = -1
     self._interactive_timeout_callbacks: list[Callable] = []
     self._prev_timed_out = False
-    self.reset_interactive_timeout()
+    self._awake = False
+
+    self._offroad_brightness: int = BACKLIGHT_OFFROAD
+    self._last_brightness: int = 0
+    self._brightness_filter = FirstOrderFilter(BACKLIGHT_OFFROAD, 10.00, 1 / DEFAULT_FPS)
+    self._brightness_thread: threading.Thread | None = None
 
   def reset_interactive_timeout(self, timeout: int = -1) -> None:
     if timeout == -1:
@@ -153,18 +166,64 @@ class Device:
     self._interactive_timeout_callbacks.append(callback)
 
   def update(self):
+    # do initial reset
+    if self._interaction_time <= 0:
+      self.reset_interactive_timeout()
+
+    self._update_brightness()
+    self._update_wakefulness()
+
+  def set_offroad_brightness(self, brightness: int):
+    # TODO: not yet used, should be used in prime widget for QR code, etc.
+    self._offroad_brightness = min(max(brightness, 0), 100)
+
+  def _update_brightness(self):
+    clipped_brightness = self._offroad_brightness
+
+    if ui_state.started and ui_state.light_sensor >= 0:
+      clipped_brightness = ui_state.light_sensor
+
+      # CIE 1931 - https://www.photonstophotos.net/GeneralTopics/Exposure/Psychometric_Lightness_and_Gamma.htm
+      if clipped_brightness <= 8:
+        clipped_brightness = clipped_brightness / 903.3
+      else:
+        clipped_brightness = ((clipped_brightness + 16.0) / 116.0) ** 3.0
+
+      clipped_brightness = float(np.clip(100 * clipped_brightness, 10, 100))
+
+    brightness = round(self._brightness_filter.update(clipped_brightness))
+    if not self._awake:
+      brightness = 0
+
+    if brightness != self._last_brightness:
+      if self._brightness_thread is None or not self._brightness_thread.is_alive():
+        cloudlog.debug(f"setting display brightness {brightness}")
+        self._brightness_thread = threading.Thread(target=HARDWARE.set_screen_brightness, args=(brightness,))
+        self._brightness_thread.start()
+        self._last_brightness = brightness
+
+  def _update_wakefulness(self):
     # Handle interactive timeout
     ignition_just_turned_off = not ui_state.ignition and self._ignition
     self._ignition = ui_state.ignition
 
-    interaction_timeout = time.monotonic() > self._interaction_time
+    if ignition_just_turned_off or any(ev.left_down for ev in gui_app.mouse_events):
-    if ignition_just_turned_off or rl.is_mouse_button_down(rl.MouseButton.MOUSE_BUTTON_LEFT):
       self.reset_interactive_timeout()
-    elif interaction_timeout and not self._prev_timed_out:
+
+    interaction_timeout = time.monotonic() > self._interaction_time
+    if interaction_timeout and not self._prev_timed_out:
       for callback in self._interactive_timeout_callbacks:
         callback()
     self._prev_timed_out = interaction_timeout
 
+    self._set_awake(ui_state.ignition or not interaction_timeout)
+
+  def _set_awake(self, on: bool):
+    if on != self._awake:
+      self._awake = on
+      cloudlog.debug(f"setting display power {int(on)}")
+      HARDWARE.set_display_power(on)
+
 
 # Global instance
 ui_state = UIState()

sunnypilot/modeld/modeld.py

@@ -62,7 +62,7 @@ class ModelState:
     self.prev_desire = np.zeros(ModelConstants.DESIRE_LEN, dtype=np.float32)
     bundle = get_active_bundle()
     overrides = {override.key: override.value for override in bundle.overrides}
-    self.LAT_SMOOTH_SECONDS = float(overrides.get('lat', ".2"))
+    self.LAT_SMOOTH_SECONDS = float(overrides.get('lat', ".0"))
     self.LONG_SMOOTH_SECONDS = float(overrides.get('long', ".0"))
 
     model_paths = get_model_path()

sunnypilot/modeld_v2/fill_model_msg.py

@@ -10,8 +10,8 @@ SEND_RAW_PRED = os.getenv('SEND_RAW_PRED')
 ConfidenceClass = log.ModelDataV2.ConfidenceClass
 
 
-def get_curvature_from_output(output, vego, lat_action_t, current_generation=None):
+def get_curvature_from_output(output, vego, lat_action_t, mlsim):
-  if current_generation != 11:
+  if not mlsim:
     if desired_curv := output.get('desired_curvature'):  # If the model outputs the desired curvature, use that directly
       return float(desired_curv[0, 0])
 

sunnypilot/modeld_v2/modeld.py

@@ -54,10 +54,10 @@ class ModelState:
       raise
 
     model_bundle = get_active_bundle()
-    self.generation = model_bundle.generation
+    self.generation = model_bundle.generation if model_bundle is not None else None
     overrides = {override.key: override.value for override in model_bundle.overrides}
 
-    self.LAT_SMOOTH_SECONDS = float(overrides.get('lat', ".2"))
+    self.LAT_SMOOTH_SECONDS = float(overrides.get('lat', ".0"))
     self.LONG_SMOOTH_SECONDS = float(overrides.get('long', ".0"))
     self.MIN_LAT_CONTROL_SPEED = 0.3
 
@@ -86,6 +86,10 @@ class ModelState:
       self.desire_reshape_dims = (self.numpy_inputs['desire'].shape[0], self.numpy_inputs['desire'].shape[1], -1,
                                   self.numpy_inputs['desire'].shape[2])
 
+  @property
+  def mlsim(self) -> bool:
+    return bool(self.generation is not None and self.generation >= 11)
+
   def run(self, bufs: dict[str, VisionBuf], transforms: dict[str, np.ndarray],
                 inputs: dict[str, np.ndarray], prepare_only: bool) -> dict[str, np.ndarray] | None:
     # Model decides when action is completed, so desire input is just a pulse triggered on rising edge
@@ -151,7 +155,7 @@ class ModelState:
       self.full_prev_desired_curv[0,:-1] = self.full_prev_desired_curv[0,1:]
       self.full_prev_desired_curv[0,-1,:] = outputs['desired_curvature'][0, :]
       self.numpy_inputs[input_name_prev][:] = self.full_prev_desired_curv[0, self.temporal_idxs]
-      if self.generation == 11:
+      if self.mlsim:
         self.numpy_inputs[input_name_prev][:] = 0*self.full_prev_desired_curv[0, self.temporal_idxs]
     else:
       length = outputs['desired_curvature'][0].size
@@ -165,7 +169,7 @@ class ModelState:
                                                      action_t=long_action_t)
     desired_accel = smooth_value(desired_accel, prev_action.desiredAcceleration, self.LONG_SMOOTH_SECONDS)
 
-    desired_curvature = get_curvature_from_output(model_output, v_ego, lat_action_t, self.generation)
+    desired_curvature = get_curvature_from_output(model_output, v_ego, lat_action_t, self.mlsim)
     if v_ego > self.MIN_LAT_CONTROL_SPEED:
       desired_curvature = smooth_value(desired_curvature, prev_action.desiredCurvature, self.LAT_SMOOTH_SECONDS)
     else:

sunnypilot/modeld_v2/parse_model_outputs_split.py

@@ -1,5 +1,7 @@
 import numpy as np
+from openpilot.common.params import Params
 from openpilot.sunnypilot.models.split_model_constants import SplitModelConstants
+from openpilot.sunnypilot.models.helpers import get_active_bundle
 
 
 def safe_exp(x, out=None):
@@ -24,6 +26,9 @@ def softmax(x, axis=-1):
 class Parser:
   def __init__(self, ignore_missing=False):
     self.ignore_missing = ignore_missing
+    self._params = Params()
+    model_bundle = get_active_bundle()
+    self.generation = model_bundle.generation if model_bundle is not None else None
 
   def check_missing(self, outs, name):
     if name not in outs and not self.ignore_missing:
@@ -88,37 +93,65 @@ class Parser:
     outs[name] = pred_mu_final.reshape(final_shape)
     outs[name + '_stds'] = pred_std_final.reshape(final_shape)
 
+  def parse_dynamic_outputs(self, outs: dict[str, np.ndarray]) -> None:
+    if self._params.get_bool("DynamicModeldOutputs") or (self.generation >= 12):
+      if 'lead' in outs:
+        if outs['lead'].shape[1] == 2 * SplitModelConstants.LEAD_MHP_SELECTION *SplitModelConstants.LEAD_TRAJ_LEN * SplitModelConstants.LEAD_WIDTH:
+          self.parse_mdn('lead', outs, in_N=0, out_N=0,
+                         out_shape=(SplitModelConstants.LEAD_MHP_SELECTION, SplitModelConstants.LEAD_TRAJ_LEN,SplitModelConstants.LEAD_WIDTH))
+        else:
+          self.parse_mdn('lead', outs, in_N=SplitModelConstants.LEAD_MHP_N, out_N=SplitModelConstants.LEAD_MHP_SELECTION,
+                         out_shape=(SplitModelConstants.LEAD_TRAJ_LEN,SplitModelConstants.LEAD_WIDTH))
+      if 'plan' in outs:
+        if outs['plan'].shape[1] > 2 * SplitModelConstants.PLAN_WIDTH * SplitModelConstants.IDX_N:
+          self.parse_mdn('plan', outs, in_N=SplitModelConstants.PLAN_MHP_N, out_N=SplitModelConstants.PLAN_MHP_SELECTION,
+                         out_shape=(SplitModelConstants.IDX_N,SplitModelConstants.PLAN_WIDTH))
+        else:
+          self.parse_mdn('plan', outs, in_N=0, out_N=0,
+                         out_shape=(SplitModelConstants.IDX_N,SplitModelConstants.PLAN_WIDTH))
+    else:
+      if 'lead' in outs:
+        self.parse_mdn('lead', outs, in_N=SplitModelConstants.LEAD_MHP_N, out_N=SplitModelConstants.LEAD_MHP_SELECTION,
+                       out_shape=(SplitModelConstants.LEAD_TRAJ_LEN,SplitModelConstants.LEAD_WIDTH))
+      if 'plan' in outs:
+        self.parse_mdn('plan', outs, in_N=SplitModelConstants.PLAN_MHP_N, out_N=SplitModelConstants.PLAN_MHP_SELECTION,
+                       out_shape=(SplitModelConstants.IDX_N,SplitModelConstants.PLAN_WIDTH))
+
   def split_outputs(self, outs: dict[str, np.ndarray]) -> None:
+    if 'desired_curvature' in outs:
+      self.parse_mdn('desired_curvature', outs, in_N=0, out_N=0, out_shape=(SplitModelConstants.DESIRED_CURV_WIDTH,))
+    if 'desire_pred' in outs:
+      self.parse_categorical_crossentropy('desire_pred', outs, out_shape=(SplitModelConstants.DESIRE_PRED_LEN,SplitModelConstants.DESIRE_PRED_WIDTH))
+    if 'desire_state' in outs:
+      self.parse_categorical_crossentropy('desire_state', outs, out_shape=(SplitModelConstants.DESIRE_PRED_WIDTH,))
     if 'lane_lines' in outs:
       self.parse_mdn('lane_lines', outs, in_N=0, out_N=0,
-                     out_shape=(SplitModelConstants.NUM_LANE_LINES,SplitModelConstants.IDX_N,SplitModelConstants.LANE_LINES_WIDTH))
+                    out_shape=(SplitModelConstants.NUM_LANE_LINES,SplitModelConstants.IDX_N,SplitModelConstants.LANE_LINES_WIDTH))
+    if 'lane_lines_prob' in outs:
+      self.parse_binary_crossentropy('lane_lines_prob', outs)
+    if 'lead_prob' in outs:
+      self.parse_binary_crossentropy('lead_prob', outs)
+    if 'lat_planner_solution' in outs:
+      self.parse_mdn('lat_planner_solution', outs, in_N=0, out_N=0, out_shape=(SplitModelConstants.IDX_N,SplitModelConstants.LAT_PLANNER_SOLUTION_WIDTH))
+    if 'meta' in outs:
+      self.parse_binary_crossentropy('meta', outs)
+    if 'road_edges' in outs:
       self.parse_mdn('road_edges', outs, in_N=0, out_N=0,
-                     out_shape=(SplitModelConstants.NUM_ROAD_EDGES,SplitModelConstants.IDX_N,SplitModelConstants.LANE_LINES_WIDTH))
+                    out_shape=(SplitModelConstants.NUM_ROAD_EDGES,SplitModelConstants.IDX_N,SplitModelConstants.LANE_LINES_WIDTH))
-      self.parse_mdn('lead', outs, in_N=SplitModelConstants.LEAD_MHP_N, out_N=SplitModelConstants.LEAD_MHP_SELECTION,
+    if 'sim_pose' in outs:
-                     out_shape=(SplitModelConstants.LEAD_TRAJ_LEN,SplitModelConstants.LEAD_WIDTH))
+      self.parse_mdn('sim_pose', outs, in_N=0, out_N=0, out_shape=(SplitModelConstants.POSE_WIDTH,))
-      if 'sim_pose' in outs:
-        self.parse_mdn('sim_pose', outs, in_N=0, out_N=0, out_shape=(SplitModelConstants.POSE_WIDTH,))
-      for k in ['lead_prob', 'lane_lines_prob']:
-        self.parse_binary_crossentropy(k, outs)
 
   def parse_vision_outputs(self, outs: dict[str, np.ndarray]) -> dict[str, np.ndarray]:
     self.parse_mdn('pose', outs, in_N=0, out_N=0, out_shape=(SplitModelConstants.POSE_WIDTH,))
     self.parse_mdn('wide_from_device_euler', outs, in_N=0, out_N=0, out_shape=(SplitModelConstants.WIDE_FROM_DEVICE_WIDTH,))
     self.parse_mdn('road_transform', outs, in_N=0, out_N=0, out_shape=(SplitModelConstants.POSE_WIDTH,))
+    self.parse_dynamic_outputs(outs)
     self.split_outputs(outs)
-    self.parse_categorical_crossentropy('desire_pred', outs, out_shape=(SplitModelConstants.DESIRE_PRED_LEN,SplitModelConstants.DESIRE_PRED_WIDTH))
-    self.parse_binary_crossentropy('meta', outs)
     return outs
 
   def parse_policy_outputs(self, outs: dict[str, np.ndarray]) -> dict[str, np.ndarray]:
-    self.parse_mdn('plan', outs, in_N=SplitModelConstants.PLAN_MHP_N, out_N=SplitModelConstants.PLAN_MHP_SELECTION,
+    self.parse_dynamic_outputs(outs)
-                   out_shape=(SplitModelConstants.IDX_N,SplitModelConstants.PLAN_WIDTH))
     self.split_outputs(outs)
-    if 'lat_planner_solution' in outs:
-      self.parse_mdn('lat_planner_solution', outs, in_N=0, out_N=0, out_shape=(SplitModelConstants.IDX_N,SplitModelConstants.LAT_PLANNER_SOLUTION_WIDTH))
-    if 'desired_curvature' in outs:
-      self.parse_mdn('desired_curvature', outs, in_N=0, out_N=0, out_shape=(SplitModelConstants.DESIRED_CURV_WIDTH,))
-    self.parse_categorical_crossentropy('desire_state', outs, out_shape=(SplitModelConstants.DESIRE_PRED_WIDTH,))
     return outs
 
   def parse_outputs(self, outs: dict[str, np.ndarray]) -> dict[str, np.ndarray]:

sunnypilot/models/helpers.py

@@ -19,7 +19,7 @@ from openpilot.system.hardware import PC
 from openpilot.system.hardware.hw import Paths
 from pathlib import Path
 
-CURRENT_SELECTOR_VERSION = 6
+CURRENT_SELECTOR_VERSION = 7
 REQUIRED_MIN_SELECTOR_VERSION = 5
 
 USE_ONNX = os.getenv('USE_ONNX', PC)

sunnypilot/models/tests/model_hash

@@ -1 +1 @@
-71979b29c4bab3007de1a4265442d79f44c0eaef066af66086dddfc432709b94
+61bb1f3077ef8219a44c8c627d5345d1a96e7f859b850bed6215eec91090becb

sunnypilot/selfdrive/controls/lib/latcontrol_torque_ext_base.py

@@ -48,7 +48,8 @@ class LatControlTorqueExtBase(LagdToggle):
     LagdToggle.__init__(self)
     self.model_v2 = None
     self.model_valid = False
-    self.use_steering_angle = lac_torque.use_steering_angle
+    self.torque_params = lac_torque.torque_params
+    self.use_steering_angle = lac_torque.torque_params.useSteeringAngle
 
     self.actual_lateral_jerk: float = 0.0
     self.lateral_jerk_setpoint: float = 0.0
@@ -56,7 +57,6 @@ class LatControlTorqueExtBase(LagdToggle):
     self.lookahead_lateral_jerk: float = 0.0
 
     self.torque_from_lateral_accel = lac_torque.torque_from_lateral_accel
-    self.torque_params = lac_torque.torque_params
 
     self._ff = 0.0
     self._pid_log = None

sunnypilot/selfdrive/controls/lib/longitudinal_planner.py

@@ -21,7 +21,7 @@ class LongitudinalPlannerSP:
 
   @property
   def mlsim(self) -> bool:
-    return self.generation == 11
+    return bool(self.generation is not None and self.generation >= 11)
 
   def get_mpc_mode(self) -> str | None:
     if not self.dec.active():

system/athena/athenad.py

@@ -23,6 +23,7 @@ from typing import cast
 from collections.abc import Callable
 
 import requests
+from requests.adapters import HTTPAdapter, DEFAULT_POOLBLOCK
 from jsonrpc import JSONRPCResponseManager, dispatcher
 from websocket import (ABNF, WebSocket, WebSocketException, WebSocketTimeoutException,
                        create_connection)
@@ -56,6 +57,11 @@ WS_FRAME_SIZE = 4096
 DEVICE_STATE_UPDATE_INTERVAL = 1.0  # in seconds
 DEFAULT_UPLOAD_PRIORITY = 99  # higher number = lower priority
 
+# https://bytesolutions.com/dscp-tos-cos-precedence-conversion-chart,
+# https://en.wikipedia.org/wiki/Differentiated_services
+UPLOAD_TOS = 0x20  # CS1, low priority background traffic
+SSH_TOS = 0x90  # AF42, DSCP of 36/HDD_LINUX_AC_VI with the minimum delay flag
+
 NetworkType = log.DeviceState.NetworkType
 
 UploadFileDict = dict[str, str | int | float | bool]
@@ -64,6 +70,17 @@ UploadItemDict = dict[str, str | bool | int | float | dict[str, str]]
 UploadFilesToUrlResponse = dict[str, int | list[UploadItemDict] | list[str]]
 
 
+class UploadTOSAdapter(HTTPAdapter):
+  def init_poolmanager(self, connections, maxsize, block=DEFAULT_POOLBLOCK, **pool_kwargs):
+    pool_kwargs["socket_options"] = [(socket.IPPROTO_IP, socket.IP_TOS, UPLOAD_TOS)]
+    super().init_poolmanager(connections, maxsize, block, **pool_kwargs)
+
+
+UPLOAD_SESS = requests.Session()
+UPLOAD_SESS.mount("http://", UploadTOSAdapter())
+UPLOAD_SESS.mount("https://", UploadTOSAdapter())
+
+
 @dataclass
 class UploadFile:
   fn: str
@@ -311,10 +328,10 @@ def _do_upload(upload_item: UploadItem, callback: Callable = None) -> requests.R
   stream = None
   try:
     stream, content_length = get_upload_stream(path, compress)
-    response = requests.put(upload_item.url,
+    response = UPLOAD_SESS.put(upload_item.url,
-                            data=CallbackReader(stream, callback, content_length) if callback else stream,
+                               data=CallbackReader(stream, callback, content_length) if callback else stream,
-                            headers={**upload_item.headers, 'Content-Length': str(content_length)},
+                               headers={**upload_item.headers, 'Content-Length': str(content_length)},
-                            timeout=30)
+                               timeout=30)
     return response
   finally:
     if stream:
@@ -501,8 +518,7 @@ def start_local_proxy_shim(global_end_event: threading.Event, local_port: int, w
       raise Exception("Requested local port not whitelisted")
 
     # Set TOS to keep connection responsive while under load.
-    # DSCP of 36/HDD_LINUX_AC_VI with the minimum delay flag
+    ws.sock.setsockopt(socket.IPPROTO_IP, socket.IP_TOS, SSH_TOS)
-    ws.sock.setsockopt(socket.IPPROTO_IP, socket.IP_TOS, 0x90)
 
     ssock, csock = socket.socketpair()
     local_sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

system/athena/tests/test_athenad.py

@@ -19,7 +19,7 @@ from cereal import messaging
 from openpilot.common.params import Params
 from openpilot.common.timeout import Timeout
 from openpilot.system.athena import athenad
-from openpilot.system.athena.athenad import MAX_RETRY_COUNT, dispatcher
+from openpilot.system.athena.athenad import MAX_RETRY_COUNT, UPLOAD_SESS, dispatcher
 from openpilot.system.athena.tests.helpers import HTTPRequestHandler, MockWebsocket, MockApi, EchoSocket
 from openpilot.selfdrive.test.helpers import http_server_context
 from openpilot.system.hardware.hw import Paths
@@ -29,7 +29,7 @@ def seed_athena_server(host, port):
   with Timeout(2, 'HTTP Server seeding failed'):
     while True:
       try:
-        requests.put(f'http://{host}:{port}/qlog.zst', data='', timeout=10)
+        UPLOAD_SESS.put(f'http://{host}:{port}/qlog.zst', data='', timeout=10)
         break
       except requests.exceptions.ConnectionError:
         time.sleep(0.1)
@@ -239,7 +239,7 @@ class TestAthenadMethods:
   @pytest.mark.parametrize("status,retry", [(500,True), (412,False)])
   @with_upload_handler
   def test_upload_handler_retry(self, mocker, host, status, retry):
-    mock_put = mocker.patch('requests.put')
+    mock_put = mocker.patch('openpilot.system.athena.athenad.UPLOAD_SESS.put')
     mock_put.return_value.__enter__.return_value.status_code = status
     fn = self._create_file('qlog.zst')
     item = athenad.UploadItem(path=fn, url=f"{host}/qlog.zst", headers={}, created_at=int(time.time()*1000), id='', allow_cellular=True)

system/hardware/tici/hardware.py

@@ -415,8 +415,8 @@ class Tici(HardwareBase):
 
     # *** GPU config ***
     # https://github.com/commaai/agnos-kernel-sdm845/blob/master/arch/arm64/boot/dts/qcom/sdm845-gpu.dtsi#L216
-    sudo_write("0", "/sys/class/kgsl/kgsl-3d0/min_pwrlevel")
+    sudo_write("1", "/sys/class/kgsl/kgsl-3d0/min_pwrlevel")
-    sudo_write("0", "/sys/class/kgsl/kgsl-3d0/max_pwrlevel")
+    sudo_write("1", "/sys/class/kgsl/kgsl-3d0/max_pwrlevel")
     sudo_write("1", "/sys/class/kgsl/kgsl-3d0/force_bus_on")
     sudo_write("1", "/sys/class/kgsl/kgsl-3d0/force_clk_on")
     sudo_write("1", "/sys/class/kgsl/kgsl-3d0/force_rail_on")

system/loggerd/loggerd.cc

@@ -62,6 +62,7 @@ struct RemoteEncoder {
   bool recording = false;
   bool marked_ready_to_rotate = false;
   bool seen_first_packet = false;
+  bool audio_initialized = false;
 };
 
 size_t write_encode_data(LoggerdState *s, cereal::Event::Reader event, RemoteEncoder &re, const EncoderInfo &encoder_info) {
@@ -78,12 +79,7 @@ size_t write_encode_data(LoggerdState *s, cereal::Event::Reader event, RemoteEnc
         LOGW("%s: dropped %d non iframe packets before init", encoder_info.publish_name, re.dropped_frames);
         re.dropped_frames = 0;
       }
-      // if we aren't actually recording, don't create the writer
       if (encoder_info.record) {
-        assert(encoder_info.filename != NULL);
-        re.writer.reset(new VideoWriter(s->logger.segmentPath().c_str(),
-                                        encoder_info.filename, idx.getType() != cereal::EncodeIndex::Type::FULL_H_E_V_C,
-                                        edata.getWidth(), edata.getHeight(), encoder_info.fps, idx.getType()));
         // write the header
         auto header = edata.getHeader();
         re.writer->write((uint8_t *)header.begin(), header.size(), idx.getTimestampEof() / 1000, true, false);
@@ -138,12 +134,19 @@ int handle_encoder_msg(LoggerdState *s, Message *msg, std::string &name, struct
 
     // if this is a new segment, we close any possible old segments, move to the new, and process any queued packets
     if (re.current_segment != s->logger.segment()) {
-      if (re.recording) {
+      // if we aren't actually recording, don't create the writer
-        re.writer.reset();
+      if (encoder_info.record) {
+        assert(encoder_info.filename != NULL);
+        re.writer.reset(new VideoWriter(s->logger.segmentPath().c_str(),
+                                        encoder_info.filename, idx.getType() != cereal::EncodeIndex::Type::FULL_H_E_V_C,
+                                        edata.getWidth(), edata.getHeight(), encoder_info.fps, idx.getType()));
         re.recording = false;
+        re.audio_initialized = false;
       }
       re.current_segment = s->logger.segment();
       re.marked_ready_to_rotate = false;
+    }
+    if (re.audio_initialized || !encoder_info.include_audio) {
       // we are in this segment now, process any queued messages before this one
       if (!re.q.empty()) {
         for (auto qmsg : re.q) {
@@ -153,9 +156,14 @@ int handle_encoder_msg(LoggerdState *s, Message *msg, std::string &name, struct
         }
         re.q.clear();
       }
+      bytes_count += write_encode_data(s, event, re, encoder_info);
+      delete msg;
+    } else if (re.q.size() > MAIN_FPS*10) {
+      LOGE_100("%s: dropping frame waiting for audio initialization, queue is too large", name.c_str());
+      delete msg;
+    } else {
+      re.q.push_back(msg); // queue up all the new segment messages, they go in after audio is initialized
     }
-    bytes_count += write_encode_data(s, event, re, encoder_info);
-    delete msg;
   } else if (offset_segment_num > s->logger.segment()) {
     // encoderd packet has a newer segment, this means encoderd has rolled over
     if (!re.marked_ready_to_rotate) {
@@ -214,7 +222,7 @@ void loggerd_thread() {
   typedef struct ServiceState {
     std::string name;
     int counter, freq;
-    bool encoder, user_flag;
+    bool encoder, user_flag, record_audio;
   } ServiceState;
   std::unordered_map<SubSocket*, ServiceState> service_state;
   std::unordered_map<SubSocket*, struct RemoteEncoder> remote_encoders;
@@ -226,19 +234,22 @@ void loggerd_thread() {
   for (const auto& [_, it] : services) {
     const bool encoder = util::ends_with(it.name, "EncodeData");
     const bool livestream_encoder = util::starts_with(it.name, "livestream");
-    if (!it.should_log && (!encoder || livestream_encoder)) continue;
+    const bool record_audio = (it.name == "rawAudioData") && Params().getBool("RecordAudio");
-    LOGD("logging %s", it.name.c_str());
+    if (it.should_log || (encoder && !livestream_encoder) || record_audio) {
+      LOGD("logging %s", it.name.c_str());
 
-    SubSocket * sock = SubSocket::create(ctx.get(), it.name);
+      SubSocket * sock = SubSocket::create(ctx.get(), it.name);
-    assert(sock != NULL);
+      assert(sock != NULL);
-    poller->registerSocket(sock);
+      poller->registerSocket(sock);
-    service_state[sock] = {
+      service_state[sock] = {
-      .name = it.name,
+        .name = it.name,
-      .counter = 0,
+        .counter = 0,
-      .freq = it.decimation,
+        .freq = it.decimation,
-      .encoder = encoder,
+        .encoder = encoder,
-      .user_flag = it.name == "userFlag",
+        .user_flag = it.name == "userFlag",
-    };
+        .record_audio = record_audio,
+      };
+    }
   }
 
   LoggerdState s;
@@ -247,6 +258,7 @@ void loggerd_thread() {
   Params().put("CurrentRoute", s.logger.routeName());
 
   std::map<std::string, EncoderInfo> encoder_infos_dict;
+  std::vector<RemoteEncoder*> encoders_with_audio;
   for (const auto &cam : cameras_logged) {
     for (const auto &encoder_info : cam.encoder_infos) {
       encoder_infos_dict[encoder_info.publish_name] = encoder_info;
@@ -254,6 +266,13 @@ void loggerd_thread() {
     }
   }
 
+  for (auto &[sock, service] : service_state) {
+    auto it = encoder_infos_dict.find(service.name);
+    if (it != encoder_infos_dict.end() && it->second.include_audio) {
+      encoders_with_audio.push_back(&remote_encoders[sock]);
+    }
+  }
+
   uint64_t msg_count = 0, bytes_count = 0;
   double start_ts = millis_since_boot();
   while (!do_exit) {
@@ -271,6 +290,20 @@ void loggerd_thread() {
       Message *msg = nullptr;
       while (!do_exit && (msg = sock->receive(true))) {
         const bool in_qlog = service.freq != -1 && (service.counter++ % service.freq == 0);
+
+        if (service.record_audio) {
+          capnp::FlatArrayMessageReader cmsg(kj::ArrayPtr<capnp::word>((capnp::word *)msg->getData(), msg->getSize() / sizeof(capnp::word)));
+          auto event = cmsg.getRoot<cereal::Event>();
+          auto audio_data = event.getRawAudioData().getData();
+          auto sample_rate = event.getRawAudioData().getSampleRate();
+          for (auto* encoder : encoders_with_audio) {
+            if (encoder && encoder->writer) {
+              encoder->writer->write_audio((uint8_t*)audio_data.begin(), audio_data.size(), event.getLogMonoTime() / 1000, sample_rate);
+              encoder->audio_initialized = true;
+            }
+          }
+        }
+
         if (service.encoder) {
           s.last_camera_seen_tms = millis_since_boot();
           bytes_count += handle_encoder_msg(&s, msg, service.name, remote_encoders[sock], encoder_infos_dict[service.name]);

system/loggerd/loggerd.h

@@ -35,6 +35,7 @@ public:
   const char *thumbnail_name = NULL;
   const char *filename = NULL;
   bool record = true;
+  bool include_audio = false;
   int frame_width = -1;
   int frame_height = -1;
   int fps = MAIN_FPS;
@@ -106,6 +107,7 @@ const EncoderInfo qcam_encoder_info = {
   .encode_type = cereal::EncodeIndex::Type::QCAMERA_H264,
   .frame_width = 526,
   .frame_height = 330,
+  .include_audio = Params().getBool("RecordAudio"),
   INIT_ENCODE_FUNCTIONS(QRoadEncode),
 };
 

system/loggerd/tests/test_loggerd.py

@@ -97,6 +97,50 @@ class TestLoggerd:
 
     return sent_msgs
 
+  def _publish_camera_and_audio_messages(self, num_segs=1, segment_length=5):
+    d = DEVICE_CAMERAS[("tici", "ar0231")]
+    streams = [
+      (VisionStreamType.VISION_STREAM_ROAD, (d.fcam.width, d.fcam.height, 2048 * 2346, 2048, 2048 * 1216), "roadCameraState"),
+      (VisionStreamType.VISION_STREAM_DRIVER, (d.dcam.width, d.dcam.height, 2048 * 2346, 2048, 2048 * 1216), "driverCameraState"),
+      (VisionStreamType.VISION_STREAM_WIDE_ROAD, (d.ecam.width, d.ecam.height, 2048 * 2346, 2048, 2048 * 1216), "wideRoadCameraState"),
+    ]
+
+    pm = messaging.PubMaster([s for _, _, s in streams] + ["rawAudioData"])
+    vipc_server = VisionIpcServer("camerad")
+    for stream_type, frame_spec, _ in streams:
+      vipc_server.create_buffers_with_sizes(stream_type, 40, *(frame_spec))
+    vipc_server.start_listener()
+
+    os.environ["LOGGERD_TEST"] = "1"
+    os.environ["LOGGERD_SEGMENT_LENGTH"] = str(segment_length)
+    managed_processes["loggerd"].start()
+    managed_processes["encoderd"].start()
+    assert pm.wait_for_readers_to_update("roadCameraState", timeout=5)
+
+    fps = 20
+    for n in range(1, int(num_segs * segment_length * fps) + 1):
+      # send video
+      for stream_type, frame_spec, state in streams:
+        dat = np.empty(frame_spec[2], dtype=np.uint8)
+        vipc_server.send(stream_type, dat[:].flatten().tobytes(), n, n / fps, n / fps)
+
+        camera_state = messaging.new_message(state)
+        frame = getattr(camera_state, state)
+        frame.frameId = n
+        pm.send(state, camera_state)
+
+      # send audio
+      msg = messaging.new_message('rawAudioData')
+      msg.rawAudioData.data = bytes(800 * 2) # 800 samples of int16
+      msg.rawAudioData.sampleRate = 16000
+      pm.send('rawAudioData', msg)
+
+      for _, _, state in streams:
+        assert pm.wait_for_readers_to_update(state, timeout=5, dt=0.001)
+
+    managed_processes["loggerd"].stop()
+    managed_processes["encoderd"].stop()
+
   def test_init_data_values(self):
     os.environ["CLEAN"] = random.choice(["0", "1"])
 
@@ -136,53 +180,23 @@ class TestLoggerd:
       assert getattr(initData, initData_key) == v
       assert logged_params[param_key].decode() == v
 
-  @pytest.mark.skip("FIXME: encoderd sometimes crashes in CI when running with pytest-xdist")
+  @pytest.mark.xdist_group("camera_encoder_tests")  # setting xdist group ensures tests are run in same worker, prevents encoderd from crashing
   def test_rotation(self):
-    os.environ["LOGGERD_TEST"] = "1"
     Params().put("RecordFront", "1")
 
-    d = DEVICE_CAMERAS[("tici", "ar0231")]
     expected_files = {"rlog.zst", "qlog.zst", "qcamera.ts", "fcamera.hevc", "dcamera.hevc", "ecamera.hevc"}
-    streams = [(VisionStreamType.VISION_STREAM_ROAD, (d.fcam.width, d.fcam.height, 2048*2346, 2048, 2048*1216), "roadCameraState"),
-               (VisionStreamType.VISION_STREAM_DRIVER, (d.dcam.width, d.dcam.height, 2048*2346, 2048, 2048*1216), "driverCameraState"),
-               (VisionStreamType.VISION_STREAM_WIDE_ROAD, (d.ecam.width, d.ecam.height, 2048*2346, 2048, 2048*1216), "wideRoadCameraState")]
 
-    pm = messaging.PubMaster(["roadCameraState", "driverCameraState", "wideRoadCameraState"])
+    num_segs = random.randint(2, 3)
-    vipc_server = VisionIpcServer("camerad")
+    length = random.randint(4, 5) # H264 encoder uses 40 lookahead frames and does B-frame reordering, so minimum 3 seconds before qcam output
-    for stream_type, frame_spec, _ in streams:
-      vipc_server.create_buffers_with_sizes(stream_type, 40, *(frame_spec))
-    vipc_server.start_listener()
 
-    num_segs = random.randint(2, 5)
+    self._publish_camera_and_audio_messages(num_segs=num_segs, segment_length=length)
-    length = random.randint(1, 3)
-    os.environ["LOGGERD_SEGMENT_LENGTH"] = str(length)
-    managed_processes["loggerd"].start()
-    managed_processes["encoderd"].start()
-    assert pm.wait_for_readers_to_update("roadCameraState", timeout=5)
-
-    fps = 20.0
-    for n in range(1, int(num_segs*length*fps)+1):
-      for stream_type, frame_spec, state in streams:
-        dat = np.empty(frame_spec[2], dtype=np.uint8)
-        vipc_server.send(stream_type, dat[:].flatten().tobytes(), n, n/fps, n/fps)
-
-        camera_state = messaging.new_message(state)
-        frame = getattr(camera_state, state)
-        frame.frameId = n
-        pm.send(state, camera_state)
-
-      for _, _, state in streams:
-        assert pm.wait_for_readers_to_update(state, timeout=5, dt=0.001)
-
-    managed_processes["loggerd"].stop()
-    managed_processes["encoderd"].stop()
 
     route_path = str(self._get_latest_log_dir()).rsplit("--", 1)[0]
     for n in range(num_segs):
       p = Path(f"{route_path}--{n}")
       logged = {f.name for f in p.iterdir() if f.is_file()}
       diff = logged ^ expected_files
-      assert len(diff) == 0, f"didn't get all expected files. run={_} seg={n} {route_path=}, {diff=}\n{logged=} {expected_files=}"
+      assert len(diff) == 0, f"didn't get all expected files. seg={n} {route_path=}, {diff=}\n{logged=} {expected_files=}"
 
   def test_bootlog(self):
     # generate bootlog with fake launch log
@@ -281,3 +295,30 @@ class TestLoggerd:
 
     segment_dir = self._get_latest_log_dir()
     assert getxattr(segment_dir, PRESERVE_ATTR_NAME) is None
+
+  @pytest.mark.xdist_group("camera_encoder_tests")  # setting xdist group ensures tests are run in same worker, prevents encoderd from crashing
+  @pytest.mark.parametrize("record_front", [True, False])
+  def test_record_front(self, record_front):
+    params = Params()
+    params.put_bool("RecordFront", record_front)
+
+    self._publish_camera_and_audio_messages()
+
+    dcamera_hevc_exists = os.path.exists(os.path.join(self._get_latest_log_dir(), 'dcamera.hevc'))
+    assert dcamera_hevc_exists == record_front
+
+  @pytest.mark.xdist_group("camera_encoder_tests")  # setting xdist group ensures tests are run in same worker, prevents encoderd from crashing
+  @pytest.mark.parametrize("record_audio", [True, False])
+  def test_record_audio(self, record_audio):
+    params = Params()
+    params.put_bool("RecordAudio", record_audio)
+
+    self._publish_camera_and_audio_messages()
+
+    qcamera_ts_path = os.path.join(self._get_latest_log_dir(), 'qcamera.ts')
+    ffprobe_cmd = f"ffprobe -i {qcamera_ts_path} -show_streams -select_streams a -loglevel error"
+    has_audio_stream = subprocess.run(ffprobe_cmd, shell=True, capture_output=True).stdout.strip() != b''
+    assert has_audio_stream == record_audio
+
+    raw_audio_in_rlog = any(m.which() == 'rawAudioData' for m in LogReader(os.path.join(self._get_latest_log_dir(), 'rlog.zst')))
+    assert raw_audio_in_rlog == record_audio

system/loggerd/video_writer.cc

@@ -50,6 +50,45 @@ VideoWriter::VideoWriter(const char *path, const char *filename, bool remuxing,
   }
 }
 
+void VideoWriter::initialize_audio(int sample_rate) {
+  assert(this->ofmt_ctx->oformat->audio_codec != AV_CODEC_ID_NONE); // check output format supports audio streams
+  const AVCodec *audio_avcodec = avcodec_find_encoder(AV_CODEC_ID_AAC);
+  assert(audio_avcodec);
+  this->audio_codec_ctx = avcodec_alloc_context3(audio_avcodec);
+  assert(this->audio_codec_ctx);
+  this->audio_codec_ctx->sample_fmt = AV_SAMPLE_FMT_FLTP;
+  this->audio_codec_ctx->sample_rate = sample_rate;
+  #if LIBAVUTIL_VERSION_INT >= AV_VERSION_INT(57, 28, 100)  // FFmpeg 5.1+
+  av_channel_layout_default(&this->audio_codec_ctx->ch_layout, 1);
+  #else
+  this->audio_codec_ctx->channel_layout = AV_CH_LAYOUT_MONO;
+  #endif
+  this->audio_codec_ctx->bit_rate = 32000;
+  this->audio_codec_ctx->flags |= AV_CODEC_FLAG_GLOBAL_HEADER;
+  this->audio_codec_ctx->time_base = (AVRational){1, audio_codec_ctx->sample_rate};
+  int err = avcodec_open2(this->audio_codec_ctx, audio_avcodec, NULL);
+  assert(err >= 0);
+  av_log_set_level(AV_LOG_WARNING); // hide "QAvg" info msgs at the end of every segment
+
+  this->audio_stream = avformat_new_stream(this->ofmt_ctx, NULL);
+  assert(this->audio_stream);
+  err = avcodec_parameters_from_context(this->audio_stream->codecpar, this->audio_codec_ctx);
+  assert(err >= 0);
+
+  this->audio_frame = av_frame_alloc();
+  assert(this->audio_frame);
+  this->audio_frame->format = this->audio_codec_ctx->sample_fmt;
+  #if LIBAVUTIL_VERSION_INT >= AV_VERSION_INT(57, 28, 100)  // FFmpeg 5.1+
+  av_channel_layout_copy(&this->audio_frame->ch_layout, &this->audio_codec_ctx->ch_layout);
+  #else
+  this->audio_frame->channel_layout = this->audio_codec_ctx->channel_layout;
+  #endif
+  this->audio_frame->sample_rate = this->audio_codec_ctx->sample_rate;
+  this->audio_frame->nb_samples = this->audio_codec_ctx->frame_size;
+  err = av_frame_get_buffer(this->audio_frame, 0);
+  assert(err >= 0);
+}
+
 void VideoWriter::write(uint8_t *data, int len, long long timestamp, bool codecconfig, bool keyframe) {
   if (of && data) {
     size_t written = util::safe_fwrite(data, 1, len, of);
@@ -67,8 +106,10 @@ void VideoWriter::write(uint8_t *data, int len, long long timestamp, bool codecc
       }
       int err = avcodec_parameters_from_context(out_stream->codecpar, codec_ctx);
       assert(err >= 0);
+      // if there is an audio stream, it must be initialized before this point
       err = avformat_write_header(ofmt_ctx, NULL);
       assert(err >= 0);
+      header_written = true;
     } else {
       // input timestamps are in microseconds
       AVRational in_timebase = {1, 1000000};
@@ -77,6 +118,7 @@ void VideoWriter::write(uint8_t *data, int len, long long timestamp, bool codecc
       av_init_packet(&pkt);
       pkt.data = data;
       pkt.size = len;
+      pkt.stream_index = this->out_stream->index;
 
       enum AVRounding rnd = static_cast<enum AVRounding>(AV_ROUND_NEAR_INF|AV_ROUND_PASS_MINMAX);
       pkt.pts = pkt.dts = av_rescale_q_rnd(timestamp, in_timebase, ofmt_ctx->streams[0]->time_base, rnd);
@@ -95,11 +137,80 @@ void VideoWriter::write(uint8_t *data, int len, long long timestamp, bool codecc
   }
 }
 
+void VideoWriter::write_audio(uint8_t *data, int len, long long timestamp, int sample_rate) {
+  if (!remuxing) return;
+  if (!audio_initialized) {
+    initialize_audio(sample_rate);
+    audio_initialized = true;
+  }
+  if (!audio_codec_ctx) return;
+  // sync logMonoTime of first audio packet with the timestampEof of first video packet
+  if (audio_pts == 0) {
+    audio_pts = (timestamp * audio_codec_ctx->sample_rate) / 1000000ULL;
+  }
+
+  // convert s16le samples to fltp and add to buffer
+  const int16_t *raw_samples = reinterpret_cast<const int16_t*>(data);
+  int sample_count = len / sizeof(int16_t);
+  constexpr float normalizer = 1.0f / 32768.0f;
+
+  const size_t max_buffer_size = sample_rate * 10; // 10 seconds
+  if (audio_buffer.size() + sample_count > max_buffer_size) {
+    size_t samples_to_drop = (audio_buffer.size() + sample_count) - max_buffer_size;
+    LOGE("Audio buffer overflow, dropping %zu oldest samples", samples_to_drop);
+    audio_buffer.erase(audio_buffer.begin(), audio_buffer.begin() + samples_to_drop);
+    audio_pts += samples_to_drop;
+  }
+
+  // Add new samples to the buffer
+  const size_t original_size = audio_buffer.size();
+  audio_buffer.resize(original_size + sample_count);
+  std::transform(raw_samples, raw_samples + sample_count, audio_buffer.begin() + original_size,
+                [](int16_t sample) { return sample * normalizer; });
+
+  if (!header_written) return; // header not written yet, process audio frame after header is written
+  while (audio_buffer.size() >= audio_codec_ctx->frame_size) {
+    audio_frame->pts = audio_pts;
+    float *f_samples = reinterpret_cast<float*>(audio_frame->data[0]);
+    std::copy(audio_buffer.begin(), audio_buffer.begin() + audio_codec_ctx->frame_size, f_samples);
+    audio_buffer.erase(audio_buffer.begin(), audio_buffer.begin() + audio_codec_ctx->frame_size);
+    encode_and_write_audio_frame(audio_frame);
+  }
+}
+
+void VideoWriter::encode_and_write_audio_frame(AVFrame* frame) {
+  if (!remuxing || !audio_codec_ctx) return;
+  int send_result = avcodec_send_frame(audio_codec_ctx, frame); // encode frame
+  if (send_result >= 0) {
+    AVPacket *pkt = av_packet_alloc();
+    while (avcodec_receive_packet(audio_codec_ctx, pkt) == 0) {
+      av_packet_rescale_ts(pkt, audio_codec_ctx->time_base, audio_stream->time_base);
+      pkt->stream_index = audio_stream->index;
+
+      int err = av_interleaved_write_frame(ofmt_ctx, pkt); // write encoded frame
+      if (err < 0) {
+        LOGW("AUDIO: Write frame failed - error: %d", err);
+      }
+      av_packet_unref(pkt);
+    }
+    av_packet_free(&pkt);
+  } else {
+    LOGW("AUDIO: Failed to send audio frame to encoder: %d", send_result);
+  }
+  audio_pts += audio_codec_ctx->frame_size;
+}
+
+
 VideoWriter::~VideoWriter() {
   if (this->remuxing) {
+    if (this->audio_codec_ctx) {
+      encode_and_write_audio_frame(NULL); // flush encoder
+      avcodec_free_context(&this->audio_codec_ctx);
+    }
     int err = av_write_trailer(this->ofmt_ctx);
     if (err != 0) LOGE("av_write_trailer failed %d", err);
     avcodec_free_context(&this->codec_ctx);
+    if (this->audio_frame) av_frame_free(&this->audio_frame);
     err = avio_closep(&this->ofmt_ctx->pb);
     if (err != 0) LOGE("avio_closep failed %d", err);
     avformat_free_context(this->ofmt_ctx);

system/loggerd/video_writer.h

@@ -1,6 +1,7 @@
 #pragma once
 
 #include <string>
+#include <deque>
 
 extern "C" {
 #include <libavformat/avformat.h>
@@ -13,13 +14,28 @@ class VideoWriter {
 public:
   VideoWriter(const char *path, const char *filename, bool remuxing, int width, int height, int fps, cereal::EncodeIndex::Type codec);
   void write(uint8_t *data, int len, long long timestamp, bool codecconfig, bool keyframe);
+  void write_audio(uint8_t *data, int len, long long timestamp, int sample_rate);
+
   ~VideoWriter();
+
 private:
+  void initialize_audio(int sample_rate);
+  void encode_and_write_audio_frame(AVFrame* frame);
+
   std::string vid_path, lock_path;
   FILE *of = nullptr;
 
   AVCodecContext *codec_ctx;
   AVFormatContext *ofmt_ctx;
   AVStream *out_stream;
+
+  bool audio_initialized = false;
+  bool header_written = false;
+  AVStream *audio_stream = nullptr;
+  AVCodecContext *audio_codec_ctx = nullptr;
+  AVFrame *audio_frame = nullptr;
+  uint64_t audio_pts = 0;
+  std::deque<float> audio_buffer;
+
   bool remuxing;
 };

system/manager/manager.py

@@ -55,6 +55,7 @@ def manager_init() -> None:
     ("CustomAccShortPressIncrement", "1"),
     ("DeviceBootMode", "0"),
     ("DynamicExperimentalControl", "0"),
+    ("DynamicModeldOutputs", "0"),
     ("HyundaiLongitudinalTuning", "0"),
     ("InteractivityTimeout", "0"),
     ("LagdToggle", "1"),

system/micd.py

@@ -9,10 +9,10 @@ from openpilot.common.retry import retry
 from openpilot.common.swaglog import cloudlog
 
 RATE = 10
-FFT_SAMPLES = 4096
+FFT_SAMPLES = 1600 # 100ms
 REFERENCE_SPL = 2e-5  # newtons/m^2
-SAMPLE_RATE = 44100
+SAMPLE_RATE = 16000
-SAMPLE_BUFFER = 4096  # approx 100ms
+SAMPLE_BUFFER = 800  # 50ms
 
 
 @cache
@@ -45,7 +45,7 @@ def apply_a_weighting(measurements: np.ndarray) -> np.ndarray:
 class Mic:
   def __init__(self):
     self.rk = Ratekeeper(RATE)
-    self.pm = messaging.PubMaster(['microphone'])
+    self.pm = messaging.PubMaster(['soundPressure', 'rawAudioData'])
 
     self.measurements = np.empty(0)
 
@@ -61,12 +61,12 @@ class Mic:
       sound_pressure_weighted = self.sound_pressure_weighted
       sound_pressure_level_weighted = self.sound_pressure_level_weighted
 
-    msg = messaging.new_message('microphone', valid=True)
+    msg = messaging.new_message('soundPressure', valid=True)
-    msg.microphone.soundPressure = float(sound_pressure)
+    msg.soundPressure.soundPressure = float(sound_pressure)
-    msg.microphone.soundPressureWeighted = float(sound_pressure_weighted)
+    msg.soundPressure.soundPressureWeighted = float(sound_pressure_weighted)
-    msg.microphone.soundPressureWeightedDb = float(sound_pressure_level_weighted)
+    msg.soundPressure.soundPressureWeightedDb = float(sound_pressure_level_weighted)
 
-    self.pm.send('microphone', msg)
+    self.pm.send('soundPressure', msg)
     self.rk.keep_time()
 
   def callback(self, indata, frames, time, status):
@@ -76,6 +76,12 @@ class Mic:
 
     Logged A-weighted equivalents are rough approximations of the human-perceived loudness.
     """
+    msg = messaging.new_message('rawAudioData', valid=True)
+    audio_data_int_16 = (indata[:, 0] * 32767).astype(np.int16)
+    msg.rawAudioData.data = audio_data_int_16.tobytes()
+    msg.rawAudioData.sampleRate = SAMPLE_RATE
+    self.pm.send('rawAudioData', msg)
+
     with self.lock:
       self.measurements = np.concatenate((self.measurements, indata[:, 0]))
 

system/sensord/sensors/lsm6ds3_temp.py

@@ -7,10 +7,10 @@ from openpilot.system.sensord.sensors.i2c_sensor import Sensor
 class LSM6DS3_Temp(Sensor):
   @property
   def device_address(self) -> int:
-    return 0x6A  # Default I2C address for LSM6DS3
+    return 0x6A
 
   def _read_temperature(self) -> float:
-    scale = 16.0 if log.SensorEventData.SensorSource.lsm6ds3 else 256.0
+    scale = 16.0 if self.source == log.SensorEventData.SensorSource.lsm6ds3 else 256.0
     data = self.read(0x20, 2)
     return 25 + (self.parse_16bit(data[0], data[1]) / scale)
 

system/ubloxd/pigeond.py

@@ -136,6 +136,17 @@ class TTYPigeon:
         return True
     return False
 
+def save_almanac(pigeon: TTYPigeon) -> None:
+  # store almanac in flash
+  pigeon.send(b"\xB5\x62\x09\x14\x04\x00\x00\x00\x00\x00\x21\xEC")
+  try:
+    if pigeon.wait_for_ack(ack=UBLOX_SOS_ACK, nack=UBLOX_SOS_NACK):
+      cloudlog.info("Done storing almanac")
+    else:
+      cloudlog.error("Error storing almanac")
+  except TimeoutError:
+    pass
+
 def init_baudrate(pigeon: TTYPigeon):
   # ublox default setting on startup is 9600 baudrate
   pigeon.set_baud(9600)
@@ -245,16 +256,6 @@ def deinitialize_and_exit(pigeon: TTYPigeon | None):
     # controlled GNSS stop
     pigeon.send(b"\xB5\x62\x06\x04\x04\x00\x00\x00\x08\x00\x16\x74")
 
-    # store almanac in flash
-    pigeon.send(b"\xB5\x62\x09\x14\x04\x00\x00\x00\x00\x00\x21\xEC")
-    try:
-      if pigeon.wait_for_ack(ack=UBLOX_SOS_ACK, nack=UBLOX_SOS_NACK):
-        cloudlog.warning("Done storing almanac")
-      else:
-        cloudlog.error("Error storing almanac")
-    except TimeoutError:
-      pass
-
   # turn off power and exit cleanly
   set_power(False)
   sys.exit(0)
@@ -281,6 +282,7 @@ def run_receiving(pigeon: TTYPigeon, pm: messaging.PubMaster, duration: int = 0)
   def end_condition():
     return True if duration == 0 else time.monotonic() - start_time < duration
 
+  last_almanac_save = time.monotonic()
   while end_condition():
     dat = pigeon.receive()
     if len(dat) > 0:
@@ -294,6 +296,11 @@ def run_receiving(pigeon: TTYPigeon, pm: messaging.PubMaster, duration: int = 0)
       msg = messaging.new_message('ubloxRaw', len(dat), valid=True)
       msg.ubloxRaw = dat[:]
       pm.send('ubloxRaw', msg)
+
+      # save almanac every 5 minutes
+      if (time.monotonic() - last_almanac_save) > 60*5:
+        save_almanac(pigeon)
+        last_almanac_save = time.monotonic()
     else:
       # prevent locking up a CPU core if ublox disconnects
       time.sleep(0.001)

system/ui/lib/application.py

@@ -3,21 +3,27 @@ import cffi
 import os
 import time
 import pyray as rl
+import threading
 from collections.abc import Callable
+from collections import deque
 from dataclasses import dataclass
 from enum import IntEnum
+from typing import NamedTuple
 from importlib.resources import as_file, files
 from openpilot.common.swaglog import cloudlog
-from openpilot.system.hardware import HARDWARE
+from openpilot.system.hardware import HARDWARE, PC
+from openpilot.common.realtime import Ratekeeper
 
-DEFAULT_FPS = 60
+DEFAULT_FPS = int(os.getenv("FPS", "60"))
 FPS_LOG_INTERVAL = 5  # Seconds between logging FPS drops
 FPS_DROP_THRESHOLD = 0.9  # FPS drop threshold for triggering a warning
 FPS_CRITICAL_THRESHOLD = 0.5  # Critical threshold for triggering strict actions
+MOUSE_THREAD_RATE = 140  # touch controller runs at 140Hz
 
-ENABLE_VSYNC = os.getenv("ENABLE_VSYNC", "1") == "1"
+ENABLE_VSYNC = os.getenv("ENABLE_VSYNC", "0") == "1"
-SHOW_FPS = os.getenv("SHOW_FPS") == '1'
+SHOW_FPS = os.getenv("SHOW_FPS") == "1"
-STRICT_MODE = os.getenv("STRICT_MODE") == '1'
+SHOW_TOUCHES = os.getenv("SHOW_TOUCHES") == "1"
+STRICT_MODE = os.getenv("STRICT_MODE") == "1"
 SCALE = float(os.getenv("SCALE", "1.0"))
 
 DEFAULT_TEXT_SIZE = 60
@@ -45,6 +51,68 @@ class ModalOverlay:
   callback: Callable | None = None
 
 
+class MousePos(NamedTuple):
+  x: float
+  y: float
+
+
+class MouseEvent(NamedTuple):
+  pos: MousePos
+  left_pressed: bool
+  left_released: bool
+  left_down: bool
+  t: float
+
+
+class MouseState:
+  def __init__(self):
+    self._events: deque[MouseEvent] = deque(maxlen=MOUSE_THREAD_RATE)  # bound event list
+    self._prev_mouse_event: MouseEvent | None = None
+
+    self._rk = Ratekeeper(MOUSE_THREAD_RATE)
+    self._lock = threading.Lock()
+    self._exit_event = threading.Event()
+    self._thread = None
+
+  def get_events(self) -> list[MouseEvent]:
+    with self._lock:
+      events = list(self._events)
+      self._events.clear()
+    return events
+
+  def start(self):
+    self._exit_event.clear()
+    if self._thread is None or not self._thread.is_alive():
+      self._thread = threading.Thread(target=self._run_thread, daemon=True)
+      self._thread.start()
+
+  def stop(self):
+    self._exit_event.set()
+    if self._thread is not None and self._thread.is_alive():
+      self._thread.join()
+
+  def _run_thread(self):
+    while not self._exit_event.is_set():
+      rl.poll_input_events()
+      self._handle_mouse_event()
+      self._rk.keep_time()
+
+  def _handle_mouse_event(self):
+    mouse_pos = rl.get_mouse_position()
+    ev = MouseEvent(
+      MousePos(mouse_pos.x, mouse_pos.y),
+      rl.is_mouse_button_pressed(rl.MouseButton.MOUSE_BUTTON_LEFT),
+      rl.is_mouse_button_released(rl.MouseButton.MOUSE_BUTTON_LEFT),
+      rl.is_mouse_button_down(rl.MouseButton.MOUSE_BUTTON_LEFT),
+      time.monotonic(),
+    )
+    # Only add changes
+    if self._prev_mouse_event is None or ev[:-1] != self._prev_mouse_event[:-1]:
+      with self._lock:
+        self._events.append(ev)
+      self._prev_mouse_event = ev
+
+
 class GuiApplication:
   def __init__(self, width: int, height: int):
     self._fonts: dict[FontWeight, rl.Font] = {}
@@ -61,6 +129,12 @@ class GuiApplication:
     self._trace_log_callback = None
     self._modal_overlay = ModalOverlay()
 
+    self._mouse = MouseState()
+    self._mouse_events: list[MouseEvent] = []
+
+    # Debug variables
+    self._mouse_history: deque[MousePos] = deque(maxlen=MOUSE_THREAD_RATE)
+
   def request_close(self):
     self._window_close_requested = True
 
@@ -89,6 +163,9 @@ class GuiApplication:
     self._set_styles()
     self._load_fonts()
 
+    if not PC:
+      self._mouse.start()
+
   def set_modal_overlay(self, overlay, callback: Callable | None = None):
     self._modal_overlay = ModalOverlay(overlay=overlay, callback=callback)
 
@@ -149,11 +226,25 @@ class GuiApplication:
       rl.unload_render_texture(self._render_texture)
       self._render_texture = None
 
+    if not PC:
+      self._mouse.stop()
+
     rl.close_window()
 
+  @property
+  def mouse_events(self) -> list[MouseEvent]:
+    return self._mouse_events
+
   def render(self):
     try:
       while not (self._window_close_requested or rl.window_should_close()):
+        if PC:
+          # Thread is not used on PC, need to manually add mouse events
+          self._mouse._handle_mouse_event()
+
+        # Store all mouse events for the current frame
+        self._mouse_events = self._mouse.get_events()
+
         if self._render_texture:
           rl.begin_texture_mode(self._render_texture)
           rl.clear_background(rl.BLACK)
@@ -190,6 +281,20 @@ class GuiApplication:
         if SHOW_FPS:
           rl.draw_fps(10, 10)
 
+        if SHOW_TOUCHES:
+          for mouse_event in self._mouse_events:
+            if mouse_event.left_pressed:
+              self._mouse_history.clear()
+            self._mouse_history.append(mouse_event.pos)
+
+          if self._mouse_history:
+            mouse_pos = self._mouse_history[-1]
+            rl.draw_circle(int(mouse_pos.x), int(mouse_pos.y), 15, rl.RED)
+            for idx, mouse_pos in enumerate(self._mouse_history):
+              perc = idx / len(self._mouse_history)
+              color = rl.Color(min(int(255 * (1.5 - perc)), 255), int(min(255 * (perc + 0.5), 255)), 50, 255)
+              rl.draw_circle(int(mouse_pos.x), int(mouse_pos.y), 5, color)
+
         rl.end_drawing()
         self._monitor_fps()
     except KeyboardInterrupt:

system/ui/lib/list_view.py

@@ -2,7 +2,7 @@ import os
 import pyray as rl
 from collections.abc import Callable
 from abc import ABC
-from openpilot.system.ui.lib.application import gui_app, FontWeight
+from openpilot.system.ui.lib.application import gui_app, FontWeight, MousePos
 from openpilot.system.ui.lib.text_measure import measure_text_cached
 from openpilot.system.ui.lib.wrap_text import wrap_text
 from openpilot.system.ui.lib.button import gui_button, ButtonStyle
@@ -229,7 +229,7 @@ class ListItem(Widget):
     super().set_parent_rect(parent_rect)
     self._rect.width = parent_rect.width
 
-  def _handle_mouse_release(self, mouse_pos: rl.Vector2):
+  def _handle_mouse_release(self, mouse_pos: MousePos):
     if not self.is_visible:
       return
 

system/ui/lib/scroll_panel.py

@@ -1,6 +1,8 @@
+import time
 import pyray as rl
 from collections import deque
 from enum import IntEnum
+from openpilot.system.ui.lib.application import gui_app, MouseEvent, MousePos
 
 # Scroll constants for smooth scrolling behavior
 MOUSE_WHEEL_SCROLL_SPEED = 30
@@ -38,51 +40,54 @@ class GuiScrollPanel:
     self._bounds_rect: rl.Rectangle | None = None
 
   def handle_scroll(self, bounds: rl.Rectangle, content: rl.Rectangle) -> rl.Vector2:
+    # TODO: HACK: this class is driven by mouse events, so we need to ensure we have at least one event to process
+    for mouse_event in gui_app.mouse_events or [MouseEvent(MousePos(0, 0), False, False, False, time.monotonic())]:
+      self._handle_mouse_event(mouse_event, bounds, content)
+    return self._offset
+
+  def _handle_mouse_event(self, mouse_event: MouseEvent, bounds: rl.Rectangle, content: rl.Rectangle):
     # Store rectangles for reference
     self._content_rect = content
     self._bounds_rect = bounds
 
-    # Calculate time delta
-    current_time = rl.get_time()
-
-    mouse_pos = rl.get_mouse_position()
     max_scroll_y = max(content.height - bounds.height, 0)
 
     # Start dragging on mouse press
-    if rl.check_collision_point_rec(mouse_pos, bounds) and rl.is_mouse_button_pressed(rl.MouseButton.MOUSE_BUTTON_LEFT):
+    if rl.check_collision_point_rec(mouse_event.pos, bounds) and mouse_event.left_pressed:
       if self._scroll_state == ScrollState.IDLE or self._scroll_state == ScrollState.BOUNCING:
         self._scroll_state = ScrollState.DRAGGING_CONTENT
         if self._show_vertical_scroll_bar:
           scrollbar_width = rl.gui_get_style(rl.GuiControl.LISTVIEW, rl.GuiListViewProperty.SCROLLBAR_WIDTH)
           scrollbar_x = bounds.x + bounds.width - scrollbar_width
-          if mouse_pos.x >= scrollbar_x:
+          if mouse_event.pos.x >= scrollbar_x:
             self._scroll_state = ScrollState.DRAGGING_SCROLLBAR
 
         # TODO: hacky
         # when clicking while moving, go straight into dragging
         self._is_dragging = abs(self._velocity_y) > MIN_VELOCITY
-        self._last_mouse_y = mouse_pos.y
+        self._last_mouse_y = mouse_event.pos.y
-        self._start_mouse_y = mouse_pos.y
+        self._start_mouse_y = mouse_event.pos.y
-        self._last_drag_time = current_time
+        self._last_drag_time = mouse_event.t
         self._velocity_history.clear()
         self._velocity_y = 0.0
         self._bounce_offset = 0.0
 
     # Handle active dragging
     if self._scroll_state == ScrollState.DRAGGING_CONTENT or self._scroll_state == ScrollState.DRAGGING_SCROLLBAR:
-      if rl.is_mouse_button_down(rl.MouseButton.MOUSE_BUTTON_LEFT):
+      if mouse_event.left_down:
-        delta_y = mouse_pos.y - self._last_mouse_y
+        delta_y = mouse_event.pos.y - self._last_mouse_y
 
         # Track velocity for inertia
-        time_since_last_drag = current_time - self._last_drag_time
+        time_since_last_drag = mouse_event.t - self._last_drag_time
         if time_since_last_drag > 0:
-          drag_velocity = delta_y / time_since_last_drag / 60.0
+          # TODO: HACK: /2 since we usually get two touch events per frame
+          drag_velocity = delta_y / time_since_last_drag / 60.0 / 2  # TODO: shouldn't be hardcoded
           self._velocity_history.append(drag_velocity)
 
-        self._last_drag_time = current_time
+        self._last_drag_time = mouse_event.t
 
         # Detect actual dragging
-        total_drag = abs(mouse_pos.y - self._start_mouse_y)
+        total_drag = abs(mouse_event.pos.y - self._start_mouse_y)
         if total_drag > DRAG_THRESHOLD:
           self._is_dragging = True
 
@@ -96,9 +101,9 @@ class GuiScrollPanel:
           scroll_ratio = content.height / bounds.height
           self._offset.y -= delta_y * scroll_ratio
 
-        self._last_mouse_y = mouse_pos.y
+        self._last_mouse_y = mouse_event.pos.y
 
-      elif rl.is_mouse_button_released(rl.MouseButton.MOUSE_BUTTON_LEFT):
+      elif mouse_event.left_released:
         # Calculate flick velocity
         if self._velocity_history:
           total_weight = 0
@@ -167,8 +172,6 @@ class GuiScrollPanel:
       elif self._offset.y < -(max_scroll_y + MAX_BOUNCE_DISTANCE):
         self._offset.y = -(max_scroll_y + MAX_BOUNCE_DISTANCE)
 
-    return self._offset
-
   def is_touch_valid(self):
     return not self._is_dragging
 

system/ui/lib/toggle.py

@@ -1,4 +1,5 @@
 import pyray as rl
+from openpilot.system.ui.lib.application import MousePos
 from openpilot.system.ui.lib.widget import Widget
 
 ON_COLOR = rl.Color(51, 171, 76, 255)
@@ -23,7 +24,7 @@ class Toggle(Widget):
   def set_rect(self, rect: rl.Rectangle):
     self._rect = rl.Rectangle(rect.x, rect.y, WIDTH, HEIGHT)
 
-  def _handle_mouse_release(self, mouse_pos: rl.Vector2):
+  def _handle_mouse_release(self, mouse_pos: MousePos):
     if not self._enabled:
       return
 

system/ui/lib/widget.py

@@ -2,6 +2,7 @@ import abc
 import pyray as rl
 from enum import IntEnum
 from collections.abc import Callable
+from openpilot.system.ui.lib.application import gui_app, MousePos
 
 
 class DialogResult(IntEnum):
@@ -66,18 +67,18 @@ class Widget(abc.ABC):
     ret = self._render(self._rect)
 
     # Keep track of whether mouse down started within the widget's rectangle
-    mouse_pos = rl.get_mouse_position()
+    for mouse_event in gui_app.mouse_events:
-    if rl.is_mouse_button_pressed(rl.MouseButton.MOUSE_BUTTON_LEFT) and self._touch_valid():
+      if mouse_event.left_pressed and self._touch_valid():
-      if rl.check_collision_point_rec(mouse_pos, self._rect):
+        if rl.check_collision_point_rec(mouse_event.pos, self._rect):
-        self._is_pressed = True
+          self._is_pressed = True
 
-    elif not self._touch_valid():
+      elif not self._touch_valid():
-      self._is_pressed = False
+        self._is_pressed = False
 
-    elif rl.is_mouse_button_released(rl.MouseButton.MOUSE_BUTTON_LEFT):
+      elif mouse_event.left_released:
-      if self._is_pressed and rl.check_collision_point_rec(mouse_pos, self._rect):
+        if self._is_pressed and rl.check_collision_point_rec(mouse_event.pos, self._rect):
-        self._handle_mouse_release(mouse_pos)
+          self._handle_mouse_release(mouse_event.pos)
-      self._is_pressed = False
+        self._is_pressed = False
 
     return ret
 
@@ -91,6 +92,6 @@ class Widget(abc.ABC):
   def _update_layout_rects(self) -> None:
     """Optionally update any layout rects on Widget rect change."""
 
-  def _handle_mouse_release(self, mouse_pos: rl.Vector2) -> bool:
+  def _handle_mouse_release(self, mouse_pos: MousePos) -> bool:
     """Optionally handle mouse release events."""
     return False

system/ui/lib/wifi_manager.py

@@ -204,7 +204,7 @@ class WifiManager:
         'connection': {
           'type': Variant('s', '802-11-wireless'),
           'uuid': Variant('s', str(uuid.uuid4())),
-          'id': Variant('s', ssid),
+          'id': Variant('s', f'openpilot connection {ssid}'),
           'autoconnect-retries': Variant('i', 0),
         },
         '802-11-wireless': {
@@ -212,7 +212,10 @@ class WifiManager:
           'hidden': Variant('b', is_hidden),
           'mode': Variant('s', 'infrastructure'),
         },
-        'ipv4': {'method': Variant('s', 'auto')},
+        'ipv4': {
+          'method': Variant('s', 'auto'),
+          'dns-priority': Variant('i', 600),
+        },
         'ipv6': {'method': Variant('s', 'ignore')},
       }
 

tools/replay/lib/ui_helpers.py

@@ -198,15 +198,12 @@ def maybe_update_radar_points(lt, lid_overlay):
     ar_pts = {}
     for track in lt:
       ar_pts[track.trackId] = [track.dRel, track.yRel, track.vRel, track.aRel]
-  for ids, pt in ar_pts.items():
+  for pt in ar_pts.values():
     # negative here since radar is left positive
     px, py = to_topdown_pt(pt[0], -pt[1])
     if px != -1:
-      color = 255
+      lid_overlay[px - 4:px + 4, py - 4:py + 4] = 0
-      if int(ids) == 1:
+      lid_overlay[px - 2:px + 2, py - 2:py + 2] = 255
-        lid_overlay[px - 2:px + 2, py - 10:py + 10] = 100
-      else:
-        lid_overlay[px - 2:px + 2, py - 2:py + 2] = color
 
 def get_blank_lid_overlay(UP):
   lid_overlay = np.zeros((UP.lidar_x, UP.lidar_y), 'uint8')

tools/scripts/extract_audio.py

@@ -0,0 +1,77 @@
+#!/usr/bin/env python3
+import os
+import sys
+import wave
+import argparse
+import numpy as np
+
+from openpilot.tools.lib.logreader import LogReader, ReadMode
+
+
+def extract_audio(route_or_segment_name, output_file=None, play=False):
+  lr = LogReader(route_or_segment_name, default_mode=ReadMode.AUTO_INTERACTIVE)
+  audio_messages = list(lr.filter("rawAudioData"))
+  if not audio_messages:
+    print("No rawAudioData messages found in logs")
+    return
+  sample_rate = audio_messages[0].sampleRate
+
+  audio_chunks = []
+  total_frames = 0
+  for msg in audio_messages:
+    audio_array = np.frombuffer(msg.data, dtype=np.int16)
+    audio_chunks.append(audio_array)
+    total_frames += len(audio_array)
+  full_audio = np.concatenate(audio_chunks)
+
+  print(f"Found {total_frames} frames from {len(audio_messages)} audio messages at {sample_rate} Hz")
+
+  if output_file:
+    if write_wav_file(output_file, full_audio, sample_rate):
+      print(f"Audio written to {output_file}")
+    else:
+      print("Audio extraction canceled.")
+  if play:
+    play_audio(full_audio, sample_rate)
+
+
+def write_wav_file(filename, audio_data, sample_rate):
+  if os.path.exists(filename):
+    if input(f"File '{filename}' exists. Overwrite? (y/N): ").lower() not in ['y', 'yes']:
+      return False
+
+  with wave.open(filename, 'wb') as wav_file:
+    wav_file.setnchannels(1)  # Mono
+    wav_file.setsampwidth(2)  # 16-bit
+    wav_file.setframerate(sample_rate)
+    wav_file.writeframes(audio_data.tobytes())
+  return True
+
+
+def play_audio(audio_data, sample_rate):
+  try:
+    import sounddevice as sd
+
+    print("Playing audio... Press Ctrl+C to stop")
+    sd.play(audio_data, sample_rate)
+    sd.wait()
+  except KeyboardInterrupt:
+    print("\nPlayback stopped")
+
+
+if __name__ == "__main__":
+  parser = argparse.ArgumentParser(description="Extract audio data from openpilot logs")
+  parser.add_argument("-o", "--output", help="Output WAV file path")
+  parser.add_argument("--play", action="store_true", help="Play audio with sounddevice")
+  parser.add_argument("route_or_segment_name", nargs='?', help="The route or segment name")
+
+  if len(sys.argv) == 1:
+    parser.print_help()
+    sys.exit()
+  args = parser.parse_args()
+
+  output_file = args.output
+  if not args.output and not args.play:
+    output_file = "extracted_audio.wav"
+
+  extract_audio(args.route_or_segment_name.strip(), output_file, args.play)

tools/webcam/camera.py

@@ -11,7 +11,14 @@ class Camera:
     self.stream_type = stream_type
     self.cur_frame_id = 0
 
+    print(f"Opening {cam_type_state} at {camera_id}")
+
     self.cap = cv.VideoCapture(camera_id)
+
+    self.cap.set(cv.CAP_PROP_FRAME_WIDTH, 1280.0)
+    self.cap.set(cv.CAP_PROP_FRAME_HEIGHT, 720.0)
+    self.cap.set(cv.CAP_PROP_FPS, 25.0)
+
     self.W = self.cap.get(cv.CAP_PROP_FRAME_WIDTH)
     self.H = self.cap.get(cv.CAP_PROP_FRAME_HEIGHT)
 
@@ -25,6 +32,8 @@ class Camera:
       ret, frame = self.cap.read()
       if not ret:
         break
+      # Rotate the frame 180 degrees (flip both axes)
+      frame = cv.flip(frame, -1)
       yuv = Camera.bgr2nv12(frame)
       yield yuv.data.tobytes()
     self.cap.release()

tools/webcam/camerad.py

@@ -1,6 +1,7 @@
 #!/usr/bin/env python3
 import threading
 import os
+import platform
 from collections import namedtuple
 
 from msgq.visionipc import VisionIpcServer, VisionStreamType
@@ -30,8 +31,7 @@ class Camerad:
 
     self.cameras = []
     for c in CAMERAS:
-      cam_device = f"/dev/video{c.cam_id}"
+      cam_device = f"/dev/video{c.cam_id}" if platform.system() != "Darwin" else c.cam_id
-      print(f"opening {c.msg_name} at {cam_device}")
       cam = Camera(c.msg_name, c.stream_type, cam_device)
       self.cameras.append(cam)
       self.vipc_server.create_buffers(c.stream_type, 20, cam.W, cam.H)