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HSAP/algorithms/lane_ufld/code.embedded.bak/pytorch-auto-drive-master/autotest_culane.sh
Chengfang Lu e72bc061c5 feat: HSAP platform v2 — modular navigation, quality review, audit log, world model simulation
Major changes:
- New frontend (platform/web/): Vite + React 18 + TypeScript + Tailwind
- 4-module navigation: 数据送标 / 模型管理 / 车队管理 / 系统管理
- Data catalog with charts (DMS/ADAS/Lane 3-tab view)
- Quality review workflow (标注质检): Good/Fine/Bad scoring with auto-advance
- Audit enhancements: batch operations, rejection categories, Feishu notifications
- Operation audit log (操作日志)
- World model simulation studio (仿真工坊)
- Dataset version management with snapshots and diff
- ADAS 7-class dataset integration (138K images organized + compressed)
- User management with Feishu integration and pagination
- CRUD/search/filter on all pages, card layout redesign
- PIL-optimized image overlay rendering
- Auto-snapshot on build, in_review workflow stage
- Removed embedded algorithm code (now in workspace)
2026-06-03 11:40:21 +08:00

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#!/bin/bash
backend="cpp" # or python
echo experiment name: $1
echo status: $2
echo save dir: $3
if [ "${backend}" = "cpp" ]; then
cd tools/culane_evaluation
else
echo Although python version works, we still suggest using the official Cpp version when possible!
echo At least try them when you are writing a paper.
echo Cpp and Python backends yield slightly different results.
cd tools/culane_evaluation_py
fi
if [ "$2" = "test" ]; then
# Perform test with official scripts
./eval.sh $1 $3
# Calculate overall F1 score
python cal_total.py --exp-name=$1 --save-dir=$3
else
# Perform validation with official scripts
./eval_validation.sh $1 $3
fi
cd ../../