Shaohu-Li
Passionate about computer vision and passionate about learning the latest deep learning techniques. like to write code。
University of Science and Technology of China
Pinned Repositories
BEVFormer
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
futr3d
Code for paper: FUTR3D: a unified sensor fusion framework for 3d detection
LaneSegNet
Map Learning with Lane Segment
Learn-Transformer
用来学习 transformer 的各个模块
Mask2Former
Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"
OAWG
小组分享代码和知识点的地方
Onnx-TensorRT-Python
使用 python 从 onnx 转换到 trt 模型
OpenLane
[ECCV 2022 Oral] OpenLane: Large-scale Realistic 3D Lane Dataset
YOLO_TensorRT_NMS
对于 yolo 系列的目标检测，提供从 onnx 模型到 tenosrrt模型的转换，转换内容包含了 nms 部分的插件的编写。
YOLOv3_Distributed
实现 yolov3 在 DDP 模式下的分布式多 gpu 训练
Shaohu-Li's Repositories
Shaohu-Li/Onnx-TensorRT-Python
使用 python 从 onnx 转换到 trt 模型
Shaohu-Li/OAWG
小组分享代码和知识点的地方
Shaohu-Li/YOLO_TensorRT_NMS
对于 yolo 系列的目标检测，提供从 onnx 模型到 tenosrrt模型的转换，转换内容包含了 nms 部分的插件的编写。
Shaohu-Li/YOLOv3_Distributed
实现 yolov3 在 DDP 模式下的分布式多 gpu 训练
Shaohu-Li/BEVFormer
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
Shaohu-Li/futr3d
Code for paper: FUTR3D: a unified sensor fusion framework for 3d detection
Shaohu-Li/LaneSegNet
Map Learning with Lane Segment
Shaohu-Li/Learn-Transformer
用来学习 transformer 的各个模块
Shaohu-Li/Mask2Former
Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"
Shaohu-Li/OpenLane
[ECCV 2022 Oral] OpenLane: Large-scale Realistic 3D Lane Dataset
Shaohu-Li/OpenLane-V2
[NeurIPS 2023 Track Datasets and Benchmarks] OpenLane-V2: The First Perception and Reasoning Benchmark for Road Driving
Shaohu-Li/PersFormer_3DLane
[ECCV2022 Oral] Perspective Transformer on 3D Lane Detection
Shaohu-Li/Shaohu-Li
Config files for my GitHub profile.
Shaohu-Li/TCM-Ancient-Books
中医药古籍文本，近700项
Shaohu-Li/TopoNet
Topology Reasoning for Scene Perception in Autonomous Driving
Shaohu-Li/YOLOv3-pytorch
yolov3的pytorch版本
Shaohu-Li/YOLOv5-Tools