upload code

9-前沿应用/9.07-3D目标检测1/.gitkeep

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9-前沿应用/9.07-3D目标检测1/READMEpointpillars.md

+代码及数据下载：
+代码及数据下载：
+通过网盘分享的文件：OpenPCDet-master.zip
+链接: https://pan.baidu.com/s/10-SrX6_Hj8qDoYy5Qvv5LA 提取码: eg64 
+--来自百度网盘超级会员v2的分享
+
+## 环境配置
+conda create -n OpenPCDet python==3.8
+conda activate OpenPCDet
+pip install torch==1.10.0+cu111 torchvision==0.11.0+cu111 torchaudio==0.10.0 -f https://download.pytorch.org/whl/torch_stable.html
+pip install -r requirements.txt
+pip install kornia==0.6.8
+pip install numpy==1.23.4
+pip install numba==0.56.4
+pip install av2==0.2.0
+pip install spconv-cu111
+pip install open3d==0.10.0（要检查这个是否安上了）
+编译：python setup.py develop
+
+
+## 数据处理
+OpenPCDet
+├── data
+│   ├── kitti
+│   │   │── ImageSets
+│   │   │── training
+│   │   │   ├──calib & velodyne & label_2 & image_2 & (optional: planes) & (optional: depth_2)
+│   │   │── testing
+│   │   │   ├──calib & velodyne & image_2
+├── pcdet
+├── tools
+对数据集进行处理,从而生成kitti_gt_database中的的 .bin 格式的文件和.pkl 格式文件
+python -m pcdet.datasets.kitti.kitti_dataset create_kitti_infos tools/cfgs/dataset_configs/kitti_dataset.yaml
+
+## 模型训练与测试
+cd tools
+训练：python train.py --cfg_file cfgs/kitti_models/pointpillar.yaml
+log文件保存在：/OpenPCDet-master/output/kitti_models/pointpillar/default/train_20250209-230544.log
+测试：python test.py --cfg_file cfgs/kitti_models/pointpillar.yaml --batch_size 1 --ckpt ../output/kitti_models/pointpillar/default/ckpt/checkpoint_epoch_80.pth --save_to_file
+可视化：CUDA_VISIBLE_DEVICES=1 python demo.py --cfg_file cfgs/kitti_models/pointpillar.yaml --ckpt ../output/kitti_models/pointpillar/default/ckpt/checkpoint_epoch_80.pth --data_path ../data/kitti/testing/velodyne/000000.bin
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9-前沿应用/9.08-3D目标检测2/.gitkeep

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+++ /dev/null

9-前沿应用/9.08-3D目标检测2/READMEpointpillars.md

+代码及数据下载：
+代码及数据下载：
+通过网盘分享的文件：OpenPCDet-master.zip
+链接: https://pan.baidu.com/s/10-SrX6_Hj8qDoYy5Qvv5LA 提取码: eg64 
+--来自百度网盘超级会员v2的分享
+
+## 环境配置
+conda create -n OpenPCDet python==3.8
+conda activate OpenPCDet
+pip install torch==1.10.0+cu111 torchvision==0.11.0+cu111 torchaudio==0.10.0 -f https://download.pytorch.org/whl/torch_stable.html
+pip install -r requirements.txt
+pip install kornia==0.6.8
+pip install numpy==1.23.4
+pip install numba==0.56.4
+pip install av2==0.2.0
+pip install spconv-cu111
+pip install open3d==0.10.0（要检查这个是否安上了）
+编译：python setup.py develop
+
+
+## 数据处理
+OpenPCDet
+├── data
+│   ├── kitti
+│   │   │── ImageSets
+│   │   │── training
+│   │   │   ├──calib & velodyne & label_2 & image_2 & (optional: planes) & (optional: depth_2)
+│   │   │── testing
+│   │   │   ├──calib & velodyne & image_2
+├── pcdet
+├── tools
+对数据集进行处理,从而生成kitti_gt_database中的的 .bin 格式的文件和.pkl 格式文件
+python -m pcdet.datasets.kitti.kitti_dataset create_kitti_infos tools/cfgs/dataset_configs/kitti_dataset.yaml
+
+## 模型训练与测试
+cd tools
+训练：python train.py --cfg_file cfgs/kitti_models/pointpillar.yaml
+log文件保存在：/OpenPCDet-master/output/kitti_models/pointpillar/default/train_20250209-230544.log
+测试：python test.py --cfg_file cfgs/kitti_models/pointpillar.yaml --batch_size 1 --ckpt ../output/kitti_models/pointpillar/default/ckpt/checkpoint_epoch_80.pth --save_to_file
+可视化：CUDA_VISIBLE_DEVICES=1 python demo.py --cfg_file cfgs/kitti_models/pointpillar.yaml --ckpt ../output/kitti_models/pointpillar/default/ckpt/checkpoint_epoch_80.pth --data_path ../data/kitti/testing/velodyne/000000.bin
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