Chengfang Lu
e72bc061c5
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)
1.4 KiB
1.4 KiB
Installation
Download the code:
git clone https://github.com/voldemortX/pytorch-auto-drive.git
cd pytorch-auto-drive
Requirements
- Linux (recommended) or Windows (not fully tested, could have problems)
- Python >= 3.6
- CUDA >= 9.2 (for CUDA version < 9.2, the code is tested only with PyTorch 1.3 & CUDA 9.0 & CuDNN 7.6.0)
- PyTorch >= 1.6 (2.x are not tested)
- TorchVision >= 0.7.0
- mmcv-full >= 1.3.5 (according to PyTorch/CUDA version)
- Other pip dependencies:
pip install -r requirements.txt
The default Conda env (step-by-step):
conda create -n pad python=3.6
conda activate pad
conda install pytorch==1.6.0 torchvision==0.7.0 cudatoolkit=10.2 -c pytorch
pip install mmcv-full==1.3.5 -f https://download.openmmlab.com/mmcv/dist/cu102/torch1.6.0/index.html
pip install -r requirements.txt
Prepare the code:
chmod 777 *.sh tools/shells/*.sh
mkdir output
Improve training speed with Pillow-SIMD (optional, advanced):
pip uninstall pillow
CC="cc -mavx2" pip install -U --force-reinstall pillow-simd
Note that you need to use ToTensor transform as late as possible for this speedup.
Enable tensorboard (optional):
tensorboard --logdir=<path to tb_logs>
<path to tb_logs> is usually ./checkpoints/tb_logs if you did not customized save_dir in config file.