国内首个占据栅格网络全栈课程《从BEV到Occupancy Network，算法原理与工程实践》，包含端侧部署。Surrounding Semantic Occupancy Perception Course for Autonomous Driving (docs, ppt and source code) 在线课程主页：http://111.229.117.200:8100/ (作者独立搭建)

BEVFormer inference on TensorRT, including INT8 Quantization and Custom TensorRT Plugins (float/half/half2/int8).

[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.

Fast-BEV: A Fast and Strong Bird’s-Eye View Perception Baseline

Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird's-Eye-View, such as DETR3D, BEVDet, BEVFormer, BEVDepth, UniAD

A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution…

[CVPR 2023] An academic alternative to Tesla's occupancy network for autonomous driving.

The modified version of monodle, supports truncation targets.

Delving into Localization Errors for Monocular 3D Object Detection, CVPR'2021

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

🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥

SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation

An open autonomous driving platform

Implementation of popular deep learning networks with TensorRT network definition API

A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.

yolort is a runtime stack for yolov5 on specialized accelerators such as tensorrt, libtorch, onnxruntime, tvm and ncnn.

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

OpenMMLab Model Deployment Framework

计算机视觉相关综述。包括目标检测、跟踪........

LiDAR R-CNN: An Efficient and Universal 3D Object Detector

A Simple and Versatile Framework for Object Detection and Instance Recognition

A treasure chest for visual classification and recognition powered by PaddlePaddle

PyTorch bottom-up attention with Detectron2

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

Deep Learning for humans

Face Detection and Gender and Age Classification using Keras

This is the baseline of Kaggle-dog-breed-classification on Python, Keras, and TensorFlow.