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* Add pre-commit CI Signed-off-by: Kenji Miyake <[email protected]> * Add .prettierrc.yaml Signed-off-by: Kenji Miyake <[email protected]> * Ignore some markdownlint rules Signed-off-by: Kenji Miyake <[email protected]> * Apply format Signed-off-by: Kenji Miyake <[email protected]> * Fix typo Signed-off-by: Kenji Miyake <[email protected]> * Fix typo Signed-off-by: Kenji Miyake <[email protected]>
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name: pre-commit | ||
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on: | ||
pull_request: | ||
workflow_dispatch: | ||
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jobs: | ||
pre-commit: | ||
runs-on: ubuntu-latest | ||
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steps: | ||
- name: Checkout repository | ||
uses: actions/checkout@v2 | ||
with: | ||
fetch-depth: 0 | ||
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- name: Setup Python | ||
uses: actions/setup-python@v2 | ||
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- name: Run pre-commit | ||
uses: pre-commit/[email protected] | ||
with: | ||
token: ${{ secrets.GITHUB_TOKEN }} |
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default: true | ||
MD013: false | ||
MD024: | ||
siblings_only: true | ||
MD029: false | ||
MD033: false | ||
MD041: false |
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# To use: | ||
# | ||
# pre-commit run -a | ||
# | ||
# Or: | ||
# | ||
# pre-commit install # (runs every time you commit in git) | ||
# | ||
# To update this file: | ||
# | ||
# pre-commit autoupdate | ||
# | ||
# See https://github.com/pre-commit/pre-commit | ||
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repos: | ||
# Standard hooks | ||
- repo: https://github.com/pre-commit/pre-commit-hooks | ||
rev: v4.0.1 | ||
hooks: | ||
- id: check-json | ||
- id: check-merge-conflict | ||
- id: check-toml | ||
- id: check-xml | ||
- id: check-yaml | ||
- id: detect-private-key | ||
- id: double-quote-string-fixer | ||
- id: end-of-file-fixer | ||
- id: mixed-line-ending | ||
- id: trailing-whitespace | ||
args: [--markdown-linebreak-ext=md] | ||
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- repo: https://github.com/igorshubovych/markdownlint-cli | ||
rev: v0.27.1 | ||
hooks: | ||
- id: markdownlint | ||
args: ["-c", ".markdownlint.yaml", "--fix"] | ||
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- repo: https://github.com/pre-commit/mirrors-prettier | ||
rev: v2.3.2 | ||
hooks: | ||
- id: prettier | ||
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exclude: ".svg" |
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printWidth: 120 | ||
tabWidth: 2 |
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[defaults] | ||
cow_selection = random | ||
cow_selection = random |
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@@ -4,4 +4,3 @@ | |
- import_tasks: pacmod.yml | ||
when: | ||
- not kvaser_library_only | ||
|
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Certain AutowareArchitectureProposal packages rely on pre-trained CNN models provided by other open source repositories. | ||
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- tensorrt_yolo3 | ||
- The pre-trained models originate from [TRTForYolov3](https://github.com/lewes6369/TensorRT-Yolov3). | ||
- [Weights for the trained model](https://drive.google.com/drive/folders/18OxNcRrDrCUmoAMgngJlhEglQ1Hqk_NJ) (416 folder) are automatically downloaded during the build process. | ||
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- The pre-trained models originate from [TRTForYolov3](https://github.com/lewes6369/TensorRT-Yolov3). | ||
- [Weights for the trained model](https://drive.google.com/drive/folders/18OxNcRrDrCUmoAMgngJlhEglQ1Hqk_NJ) (416 folder) are automatically downloaded during the build process. | ||
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- traffic_light_fine_detector | ||
- The trained model in this package is based on the [pjreddie's YOLO .weights file](https://pjreddie.com/media/files/yolov3.weights), with additional fine-tuning by Tier IV using [Darknet](https://github.com/pjreddie/darknet). | ||
- After fine-tuning, the new weights for the trained model are converted into an ONNX file using [Python](https://github.com/tier4/AutowareArchitectureProposal.iv/blob/master/src/perception/traffic_light_recognition/traffic_light_fine_detector/scripts/yolov3_to_onnx.py). | ||
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- The trained model in this package is based on the [pjreddie's YOLO .weights file](https://pjreddie.com/media/files/yolov3.weights), with additional fine-tuning by Tier IV using [Darknet](https://github.com/pjreddie/darknet). | ||
- After fine-tuning, the new weights for the trained model are converted into an ONNX file using [Python](https://github.com/tier4/AutowareArchitectureProposal.iv/blob/master/src/perception/traffic_light_recognition/traffic_light_fine_detector/scripts/yolov3_to_onnx.py). | ||
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- lidar_apollo_instance_segmentation | ||
- This package makes use of three pre-trained models provided by [Apollo Auto](https://github.com/ApolloAuto). | ||
- The following files are automatically downloaded during the build process: | ||
- [VLP-16](https://github.com/ApolloAuto/apollo/raw/88bfa5a1acbd20092963d6057f3a922f3939a183/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne16/deploy.caffemodel) | ||
- [HDL-64](https://github.com/ApolloAuto/apollo/raw/88bfa5a1acbd20092963d6057f3a922f3939a183/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne64/deploy.caffemodel) | ||
- [VLS-128](https://github.com/ApolloAuto/apollo/raw/91844c80ee4bd0cc838b4de4c625852363c258b5/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne128/deploy.caffemodel) | ||
- This package makes use of three pre-trained models provided by [Apollo Auto](https://github.com/ApolloAuto). | ||
- The following files are automatically downloaded during the build process: | ||
- [VLP-16](https://github.com/ApolloAuto/apollo/raw/88bfa5a1acbd20092963d6057f3a922f3939a183/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne16/deploy.caffemodel) | ||
- [HDL-64](https://github.com/ApolloAuto/apollo/raw/88bfa5a1acbd20092963d6057f3a922f3939a183/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne64/deploy.caffemodel) | ||
- [VLS-128](https://github.com/ApolloAuto/apollo/raw/91844c80ee4bd0cc838b4de4c625852363c258b5/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne128/deploy.caffemodel) |
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:root { | ||
--md-primary-fg-color: #22a3cd; | ||
--md-primary-fg-color--light: #22a3cd; | ||
--md-primary-fg-color--dark: #22a3cd; | ||
--md-accent-fg-color: #065479; | ||
--md-primary-fg-color: #22a3cd; | ||
--md-primary-fg-color--light: #22a3cd; | ||
--md-primary-fg-color--dark: #22a3cd; | ||
--md-accent-fg-color: #065479; | ||
} |
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TODO | ||
# TODO | ||
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## Repository Overview | ||
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## What is autoware.proj | ||
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autoware.proj is a meta-repository for AutowareArchitectureProposal. | ||
Since AutowareArchitectureProposal is made up of code stored in multiple, version-specific GitHub repositories, creating a new build environment would involve individually importing each repository which is both time-consuming and prone to error. To avoid both of these problems, autoware.proj was created as a meta-repository to streamline the management of all necessary repositories through the use of [vcstool](https://github.com/dirk-thomas/vcstool). | ||
Since AutowareArchitectureProposal is made up of code stored in multiple, version-specific GitHub repositories, creating a new build environment would involve individually importing each repository which is both time-consuming and prone to error. To avoid both of these problems, autoware.proj was created as a meta-repository to streamline the management of all necessary repositories through the use of [vcstool](https://github.com/dirk-thomas/vcstool). | ||
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autoware.proj is the top directory of the AutowareArchitectureProposal project. Therefore, this repository contains high-level information of AutowareArchitectureProposal such as [the architecture design](/docs/design/software_architecture/Overview.md). |
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2 changes: 1 addition & 1 deletion
2
docs/design/software_architecture/Control/TrajectoryFollower/LateralController.md
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...sign/software_architecture/Control/TrajectoryFollower/LongitudinalController.md
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docs/design/software_architecture/Control/VehicleCmdGate/VehicleCmdGate.md
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