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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.

lanesegnet

Map Learning with Lane Segment

learn-transformer

用来学习 transformer 的各个模块

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

openlane-v2

[NeurIPS 2023 Track Datasets and Benchmarks] OpenLane-V2: The First Perception and Reasoning Benchmark for Road Driving

persformer_3dlane

[ECCV2022 Oral] Perspective Transformer on 3D Lane Detection

shaohu-li

Config files for my GitHub profile.

tcm-ancient-books

中医药古籍文本，近700项

toponet

Topology Reasoning for Scene Perception in Autonomous Driving

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-pytorch

yolov3的pytorch版本

yolov3_distributed

实现 yolov3 在 DDP 模式下的分布式多 gpu 训练

yolov5-tools