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feat: initial HSAP platform

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Huaxu Sentinel Active Safety Platform with embedded algorithm code,
Docker Compose setup, and vendored dataset scaffolds for clone-and-run.

Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
Chengfang Lu
2026-05-25 16:59:59 +08:00
commit 7c43b44c57
1619 changed files with 373355 additions and 0 deletions
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32
algorithms/lane_ufld/code/CLRNet-main/scripts/setup_clrnet_env.sh Executable file
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#!/usr/bin/env bash
# Create conda env for CLRNet + MUFLD dataset
set -euo pipefail
ENV_NAME="${CLRNET_ENV_NAME:-clrnet_lane}"
CLRNET_ROOT="$(cd "$(dirname "$0")/.." && pwd)"
source "$(conda info --base)/etc/profile.d/conda.sh"
if conda env list | awk '{print $1}' | grep -qx "$ENV_NAME"; then
echo "Env $ENV_NAME exists, activate: conda activate $ENV_NAME"
else
conda create -n "$ENV_NAME" python=3.8 -y
fi
conda activate "$ENV_NAME"
# PyTorch (adjust CUDA version to match your driver)
pip install torch==1.10.2+cu113 torchvision==0.11.3+cu113 \
-f https://download.pytorch.org/whl/cu113/torch_stable.html
pip install mmcv-full==1.4.0 -f https://download.openmmlab.com/mmcv/dist/cu113/torch1.10/index.html
pip install -r "$CLRNET_ROOT/requirements.txt"
cd "$CLRNET_ROOT"
python setup.py develop
echo ""
echo "Done. Usage:"
echo " conda activate $ENV_NAME"
echo " cd $CLRNET_ROOT"
echo " python main.py configs/clrnet/clr_resnet18_mufld_smoke.py --gpus 0"

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algorithms/lane_ufld/code/CLRNet-main/scripts/setup_clrnet_export.sh Normal file
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#!/usr/bin/env bash
# CPU-friendly env for CLRNet ONNX export (no CUDA required for export).
set -euo pipefail
ENV_NAME="${CLRNET_EXPORT_ENV:-clrnet_export}"
CLRNET_ROOT="$(cd "$(dirname "$0")/.." && pwd)"
source "$(conda info --base)/etc/profile.d/conda.sh"
if ! conda env list | awk '{print $1}' | grep -qx "$ENV_NAME"; then
conda create -n "$ENV_NAME" python=3.8 -y
fi
conda activate "$ENV_NAME"
pip install --upgrade pip
pip install torch==1.10.2+cpu torchvision==0.11.3+cpu \
-f https://download.pytorch.org/whl/cpu/torch_stable.html
pip install mmcv-full==1.4.0 -f https://download.openmmlab.com/mmcv/dist/cpu/torch1.10/index.html
pip install onnx onnxruntime onnxsim
pip install -r "$CLRNET_ROOT/requirements.txt"
cd "$CLRNET_ROOT"
pip install -e .
echo ""
echo "Export ONNX:"
echo " conda activate $ENV_NAME"
echo " cd $CLRNET_ROOT"
echo " python tools/export_onnx.py --check"