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zhengminghu's Projects

tensorflow-fcn icon tensorflow-fcn

An Implementation of Fully Convolutional Networks in Tensorflow.

tensorflow_poems icon tensorflow_poems

中文古诗自动作诗机器人,屌炸天,基于tensorflow1.0 api,加入了创作歌词模块!!正在积极维护升级中,快star,保持更新!

tensorlayer icon tensorlayer

TensorLayer: A Versatile Deep Learning and Reinforcement Learning Library for TensorFlow

tiny-dnn icon tiny-dnn

header only, dependency-free deep learning framework in C++14

tinyekf icon tinyekf

Lightweight C/C++ Extended Kalman Filter with Python for prototyping

transfusion icon transfusion

[PyTorch] Official implementation of CVPR2022 paper "TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers". https://arxiv.org/abs/2203.11496

twitchslam icon twitchslam

A toy implementation of monocular SLAM written while livestreaming

udacity-term2-project2-ukf icon udacity-term2-project2-ukf

This is a project about Unscented Kalman Filter. I added README.md for description my code structure and functions in detail.The starter code is forked from udacity. By using the provided simulator from udacity, the performance of algorithm is validated.

ukf icon ukf

Unscented Kalman Filter library for state and parameter estimation

vehicle-detection icon vehicle-detection

Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).

vi-mean icon vi-mean

Visual-Inertia-fusion-based Monocular dEnse mAppiNg

vins-mono icon vins-mono

A Robust and Versatile Monocular Visual-Inertial State Estimator

vins_fusion-comment icon vins_fusion-comment

VINS-Fusion注释版本. This is a comment version of VINS_Fusion to record my own comprehension. The original codes fork from https://github.com/HKUST-Aerial-Robotics/VINS-Fusion.

vio-doc icon vio-doc

主流VIO论文推导及代码解析

vio_data_simulation icon vio_data_simulation

Generate imu data and feature in camera frame. You can use this data to test your VINS.

visma icon visma

Visual-Inertial-Semantic-MApping Dataset and tools

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