Pyten's repositories

AdelaiDet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

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algorithm

algorithms in python

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BEVDet

Official code base of the BEVDet series .

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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.

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BEVFusion

Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"

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BiSeNet

Add bisenetv2. My implementation of BiSeNet

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C-Plus-Plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

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CaDDN

Categorical Depth Distribution Network for Monocular 3D Object Detection (CVPR 2021 Oral)

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Cpp-High-Performance-Second-Edition

C++ High Performance Second Edition, published by Packt

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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.

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jd_seckill_anyi4Pythonback

抢茅台(备份)

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LaneATT

Code of the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection"

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lanenet-lane-detection-pytorch

Unofficial implemention of lanenet model for real time lane detection Pytorch Version

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lift-splat-shoot

Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)

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mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

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modern-cpp-tutorial

📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/

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MonoDEVSNet

Official PyTorch implementation of MonoDEVSNet - "Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision."

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onnx-simplifier

Simplify your onnx model

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PETR

PETR: Position Embedding Transformation for Multi-View 3D Object Detection

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Production-Level-Deep-Learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

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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

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pytorch-lanenet

LaneNet implementation in PyTorch

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SGNet

Code for the IJCAI 2021 paper "Structure Guided Lane Detection"

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SOLO

SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

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Swin-Transformer-TensorRT

This project aims to explore the deployment of Swin-Transformer based on TensorRT, including the test results of FP16 and INT8.

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