用于回归出最终的3D目标框信息,参照LaserNet,作了一个坐标变换。 主要是把信息按照下式转换为(xig,yig,zig,lig,wig,hig,θig)格式,然后在采用SmoothL1回归损失 四、效果
PaddleYOLO是基于PaddleDetection的YOLO系列模型库,只包含YOLO系列模型的相关代码,支持YOLOv3、PP-YOLO、PP-YOLOv2、PP-YOLOE、PP-YOLOE+、RT-DETR、YOLOX、YOLOv5、YOLOv6、YOLOv7、YOLOv8、YOLOv5u、YOLOv7u、YOLOv6Lite、RTMDet等模型,COCO数据集模型库请参照 ModelZoo 和configs。 注意: PaddleYOLO 代码库...
把pcdet/datasets/kitti文件夹复制并改名为pcdet/datasets/custom,然后把pcdet/utils/object3d_kitti.py复制为pcdet/utils/object3d_custom.py 把data/kitti文件夹复制并改名为data/custom,然后修改训练信息,结构如下: custom ├── ImageSets │ ├── test.txt │ ├── train.txt ├── testing │ ├─...
concat_boxes = torch.cat(boxes, dim=0) 2.decode_single defdecode_single(self,rel_codes,boxes):"""Arguments:#rel_codes的shape【tensor】:【特征层数*batch数*每个特征层对应图片的所有anchor数,4】#boxes的shape【tensor】:【batch中的图片数*一张图片上生成的所有anchors信息(特征层数*每个特征层的anchor...
cd $PATH_ROOT/libs/box_utils/cython_utils python setup.py build_ext --inplace (or make) cd $PATH_ROOT/libs/box_utils/ python setup.py build_ext --inplace Train 1、If you want to train your own data, please note: (1) Modify parameters (such as CLASS_NUM, DATASET_NAME, VERSION,...
cc:116] None of the MLIR optimization passes are enabled (registered 2) 2021-02-08 05:25:31.671446: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2000155000 Hz INFO:tensorflow:A replica probably exhausted all examples. Skipping pending examples on other replicas. I...
utils.py -> build/bdist.linux-x86_64/egg/ppdet/modeling/transformers copying build/lib/ppdet/modeling/transformers/deformable_transformer.py -> build/bdist.linux-x86_64/egg/ppdet/modeling/transformers copying build/lib/ppdet/modeling/transformers/matchers.py -> build/bdist.linux-x86_64/egg/ppdet/...
OpenPCDet Toolbox for LiDAR-based 3D Object Detection. - OpenPCDet/pcdet/utils/loss_utils.py at master · open-mmlab/OpenPCDet
utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/ppdet/modeling/losses/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/ppdet/modeling/losses/smooth_l1_loss.py to smooth_l1_loss.cpython-37.pyc byte-compiling build/bdist....
cd $PATH_ROOT/libs/box_utils/ python setup.py build_ext --inplace Train 1、If you want to train your own data, please note: (1) Modify parameters (such as CLASS_NUM, DATASET_NAME, VERSION, etc.) in $PATH_ROOT/libs/configs/cfgs.py ...