WinDistance

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

Paddle-Lite

PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎）

FeatherCNN

FeatherCNN is a high performance inference engine for convolutional neural networks.

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

micronet

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

motion

Motion, a software motion detector. Home page: https://motion-project.github.io/

JRMOT_ROS

Source code for JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Efficient-PyTorch

My best practice of training large dataset using PyTorch.

DALI

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

cvat

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

multi_sensor_calibration

lidar_align

A simple method for finding the extrinsic calibration between a 3D lidar and a 6-dof pose sensor

imu_tk

OpenPCDet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

second.pytorch

SECOND for KITTI/NuScenes object detection

votenet

Deep Hough Voting for 3D Object Detection in Point Clouds

frustum-pointnets

Frustum PointNets for 3D Object Detection from RGB-D Data

Pointnet_Pointnet2_pytorch

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

YOLOP

You Only Look Once for Panopitic Driving Perception.（MIR2022）

LSTR

This is an official repository of End-to-end Lane Shape Prediction with Transformers.

semantic-segmentation

Nvidia Semantic Segmentation monorepo

CBAM.PyTorch

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

Deep-Feature-Flow

Deep Feature Flow for Video Recognition

Flow-Guided-Feature-Aggregation

Flow-Guided Feature Aggregation for Video Object Detection

CANdevStudio

Development tool for CAN bus simulation