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name: docs | ||
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on: | ||
# 每当 push 到 main 分支时触发部署 | ||
push: | ||
branches: [main] | ||
# 手动触发部署 | ||
workflow_dispatch: | ||
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jobs: | ||
docs: | ||
runs-on: ubuntu-latest | ||
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steps: | ||
- uses: actions/checkout@v3 | ||
with: | ||
# “最近更新时间” 等 git 日志相关信息,需要拉取全部提交记录 | ||
fetch-depth: 0 | ||
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- name: Setup Node.js | ||
uses: actions/setup-node@v3 | ||
with: | ||
# 选择要使用的 node 版本 | ||
node-version: 16.x | ||
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- name: Run install | ||
uses: borales/actions-yarn@v4 | ||
with: | ||
cmd: install # will run `yarn install` command | ||
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# 运行构建脚本 | ||
- name: Build VuePress site | ||
run: yarn docs:build | ||
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# 查看 workflow 的文档来获取更多信息 | ||
# @see https://github.com/crazy-max/ghaction-github-pages | ||
- name: Deploy to GitHub Pages | ||
uses: crazy-max/ghaction-github-pages@v2 | ||
with: | ||
# 部署到 gh-pages 分支 | ||
target_branch: gh-pages | ||
# 部署目录为 VuePress 的默认输出目录 | ||
build_dir: docs/.vuepress/dist | ||
env: | ||
# @see https://docs.github.com/cn/actions/reference/authentication-in-a-workflow#about-the-github_token-secret | ||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} |
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weights | ||
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log | ||
logs | ||
tmp | ||
tmps | ||
temp | ||
temps | ||
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node_modules/ | ||
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# Byte-compiled / optimized / DLL files | ||
__pycache__/ | ||
*.py[cod] | ||
*$py.class | ||
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# C extensions | ||
*.so | ||
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# Distribution / packaging | ||
.Python | ||
build/ | ||
develop-eggs/ | ||
dist/ | ||
downloads/ | ||
eggs/ | ||
.eggs/ | ||
lib/ | ||
lib64/ | ||
parts/ | ||
sdist/ | ||
var/ | ||
wheels/ | ||
share/python-wheels/ | ||
*.egg-info/ | ||
.installed.cfg | ||
*.egg | ||
MANIFEST | ||
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# PyInstaller | ||
# Usually these files are written by a python script from a template | ||
# before PyInstaller builds the exe, so as to inject date/other infos into it. | ||
*.manifest | ||
*.spec | ||
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# Installer logs | ||
pip-log.txt | ||
pip-delete-this-directory.txt | ||
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# Unit test / coverage reports | ||
htmlcov/ | ||
.tox/ | ||
.nox/ | ||
.coverage | ||
.coverage.* | ||
.cache | ||
nosetests.xml | ||
coverage.xml | ||
*.cover | ||
*.py,cover | ||
.hypothesis/ | ||
.pytest_cache/ | ||
cover/ | ||
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# Translations | ||
*.mo | ||
*.pot | ||
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# Django stuff: | ||
*.log | ||
local_settings.py | ||
db.sqlite3 | ||
db.sqlite3-journal | ||
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# Flask stuff: | ||
instance/ | ||
.webassets-cache | ||
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# Scrapy stuff: | ||
.scrapy | ||
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# Sphinx documentation | ||
docs/_build/ | ||
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# PyBuilder | ||
.pybuilder/ | ||
target/ | ||
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# Jupyter Notebook | ||
.ipynb_checkpoints | ||
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# IPython | ||
profile_default/ | ||
ipython_config.py | ||
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# pyenv | ||
# For a library or package, you might want to ignore these files since the code is | ||
# intended to run in multiple environments; otherwise, check them in: | ||
# .python-version | ||
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# pipenv | ||
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. | ||
# However, in case of collaboration, if having platform-specific dependencies or dependencies | ||
# having no cross-platform support, pipenv may install dependencies that don't work, or not | ||
# install all needed dependencies. | ||
#Pipfile.lock | ||
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# poetry | ||
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. | ||
# This is especially recommended for binary packages to ensure reproducibility, and is more | ||
# commonly ignored for libraries. | ||
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control | ||
#poetry.lock | ||
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# pdm | ||
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. | ||
#pdm.lock | ||
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it | ||
# in version control. | ||
# https://pdm.fming.dev/#use-with-ide | ||
.pdm.toml | ||
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm | ||
__pypackages__/ | ||
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# Celery stuff | ||
celerybeat-schedule | ||
celerybeat.pid | ||
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# SageMath parsed files | ||
*.sage.py | ||
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# Environments | ||
.env | ||
.venv | ||
env/ | ||
venv/ | ||
ENV/ | ||
env.bak/ | ||
venv.bak/ | ||
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# Spyder project settings | ||
.spyderproject | ||
.spyproject | ||
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# Rope project settings | ||
.ropeproject | ||
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# mkdocs documentation | ||
/site | ||
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# mypy | ||
.mypy_cache/ | ||
.dmypy.json | ||
dmypy.json | ||
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# Pyre type checker | ||
.pyre/ | ||
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# pytype static type analyzer | ||
.pytype/ | ||
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# Cython debug symbols | ||
cython_debug/ | ||
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# PyCharm | ||
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can | ||
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore | ||
# and can be added to the global gitignore or merged into this file. For a more nuclear | ||
# option (not recommended) you can uncomment the following to ignore the entire idea folder. | ||
.idea/ |
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{ | ||
"files.exclude": { | ||
"**/.git": false, | ||
"**/.DS_Store": true, | ||
"**/__pycache__": true, | ||
"**/*.pyc": true, | ||
"**/node_modules": true, | ||
}, | ||
"python.analysis.extraPaths": [ | ||
// "deploy" | ||
], | ||
} |
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import os | ||
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# DATA | ||
dataset = 'CULane' | ||
data_root = os.getenv('CULANEROOT') | ||
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# TRAIN | ||
epoch = 50 | ||
batch_size = 32 | ||
optimizer = 'SGD' #['SGD','Adam'] | ||
learning_rate = 0.1 | ||
weight_decay = 1e-4 | ||
momentum = 0.9 | ||
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scheduler = 'multi' #['multi', 'cos'] | ||
steps = [25, 38] | ||
gamma = 0.1 | ||
warmup = 'linear' | ||
warmup_iters = 695 | ||
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# NETWORK | ||
use_aux = False | ||
griding_num = 200 | ||
backbone = '18' | ||
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# LOSS | ||
sim_loss_w = 0.0 | ||
shp_loss_w = 0.0 | ||
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# EXP | ||
note = '' | ||
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log_path = "tmps" | ||
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# FINETUNE or RESUME MODEL PATH | ||
finetune = "weights/culane_18.pth" | ||
resume = None | ||
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# TEST | ||
test_model = "weights/culane_18.pth" | ||
test_work_dir = "tmps" | ||
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num_lanes = 4 |
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# row anchors are a series of pre-defined coordinates in image height to detect lanes | ||
# the row anchors are defined according to the evaluation protocol of CULane and Tusimple | ||
# since our method will resize the image to 288x800 for training, the row anchors are defined with the height of 288 | ||
# you can modify these row anchors according to your training image resolution | ||
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tusimple_row_anchor = [ 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, | ||
116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, | ||
168, 172, 176, 180, 184, 188, 192, 196, 200, 204, 208, 212, 216, | ||
220, 224, 228, 232, 236, 240, 244, 248, 252, 256, 260, 264, 268, | ||
272, 276, 280, 284] | ||
culane_row_anchor = [121, 131, 141, 150, 160, 170, 180, 189, 199, 209, 219, 228, 238, 248, 258, 267, 277, 287] |
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