Pyten's repositories
AdelaiDet
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
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.
BEVFusion
Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"
BiSeNet
Add bisenetv2. My implementation of BiSeNet
C-Plus-Plus
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
CaDDN
Categorical Depth Distribution Network for Monocular 3D Object Detection (CVPR 2021 Oral)
Cpp-High-Performance-Second-Edition
C++ High Performance Second Edition, published by Packt
dd3d
Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.
jd_seckill_anyi4Pythonback
抢茅台(备份)
LaneATT
Code of the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection"
lanenet-lane-detection-pytorch
Unofficial implemention of lanenet model for real time lane detection Pytorch Version
lift-splat-shoot
Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)
mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.
modern-cpp-tutorial
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
MonoDEVSNet
Official PyTorch implementation of MonoDEVSNet - "Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision."
onnx-simplifier
Simplify your onnx model
PETR
PETR: Position Embedding Transformation for Multi-View 3D Object Detection
Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
pytorch-auto-drive
Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, PRNet, RESA, LSTR, BézierLaneNet...) based on PyTorch with mixed precision training
pytorch-lanenet
LaneNet implementation in PyTorch
SGNet
Code for the IJCAI 2021 paper "Structure Guided Lane Detection"
SOLO
SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.
Swin-Transformer-TensorRT
This project aims to explore the deployment of Swin-Transformer based on TensorRT, including the test results of FP16 and INT8.