mikasazgx

mikasazgx

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SensorsCalibration

OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving

Language:C++License:Apache-2.0Stargazers:2257Issues:0Issues:0

nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

Language:PythonLicense:MITStargazers:5295Issues:0Issues:0

MonoScene

[CVPR 2022] "MonoScene: Monocular 3D Semantic Scene Completion": 3D Semantic Occupancy Prediction from a single image

Language:PythonLicense:Apache-2.0Stargazers:668Issues:0Issues:0

Awesome-Occupancy-Network

Awesome papers and codebases about Occupancy Network in Tesla AI Day 2022

Stargazers:23Issues:0Issues:0

mmdetection3d

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

Language:PythonLicense:Apache-2.0Stargazers:5096Issues:0Issues:0
Language:C++License:MITStargazers:238Issues:0Issues:0

AutoLabelImg

auto-labelimg based on yolov5, with many other useful tools

Language:PythonLicense:MITStargazers:240Issues:0Issues:0

Lidar-Camera-Calibration-Software

Lidar Camera Manual Target-less Calibration Software

Language:PythonLicense:MITStargazers:18Issues:0Issues:0

Lidar-Camera-Calibration

The internal parameters and distortion parameters of the camera are known, and the external parameters between the lidar and the camera are calibrated.

Language:PythonLicense:MITStargazers:5Issues:0Issues:0

monolayout

MonoLayout: Amodal Scene Layout from a single image

Language:PythonLicense:MITStargazers:199Issues:0Issues:0

Paddle3D

A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection models.

Language:PythonLicense:Apache-2.0Stargazers:560Issues:0Issues:0

lidar_camera_calibration

ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"

Language:C++License:GPL-3.0Stargazers:1486Issues:0Issues:0

TensorRT-CenterNet-3D

tensorrt5, centernet, 3d detection, kitti, centerface, deform conv, int8,

Language:C++License:MITStargazers:61Issues:0Issues:0

TensorRT-CenterNet

tensorrt5 , centernet , centerface, deform conv, int8

Language:C++Stargazers:768Issues:0Issues:0

DID-M3D

[ECCV 2022] DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection.

Language:PythonLicense:MITStargazers:75Issues:0Issues:0

moving_object_detector

Moving objects detection from stereo images for ROS

Language:C++Stargazers:2Issues:0Issues:0

Stereo-RCNN

Code for 'Stereo R-CNN based 3D Object Detection for Autonomous Driving' (CVPR 2019)

Language:PythonLicense:MITStargazers:686Issues:0Issues:0

StereoVisionforADAS

Stereo vision based object detection for ADAS, autonomous vehicle

Language:C++License:GPL-2.0Stargazers:180Issues:0Issues:0

ORB_SLAM2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

License:NOASSERTIONStargazers:1Issues:0Issues:0

YOLO3D

YOLO 3D Object Detection for Autonomous Driving Vehicle

Stargazers:2Issues:0Issues:0

YOLO3D-YOLOv4-PyTorch

YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018)

Language:PythonLicense:GPL-3.0Stargazers:288Issues:0Issues:0

tensorRT_Pro

C++ library based on tensorrt integration

Language:C++License:MITStargazers:2527Issues:0Issues:0

pylot

Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.

Language:PythonLicense:Apache-2.0Stargazers:454Issues:0Issues:0

PCANet

A Python implementation of PCANet https://arxiv.org/abs/1404.3606

Language:PythonLicense:MITStargazers:147Issues:0Issues:0

deep-learning

personal practice(个人练习,实现了深度学习中的一些算法,包括:四种初始化方法(zero initialize, random initialize, xavier initialize, he initialize),深度神经网络,正则化,dropout, 三种梯度下降方法(BGD, SGD, mini-batch),六种优化算法(momentum、nesterov momentum、Adagrad、Adadelta、RMSprop、Adam),梯度检验、batch normalization)、RNN

Stargazers:1Issues:0Issues:0

deep-learning

personal practice(个人练习,实现了深度学习中的一些算法,包括:四种初始化方法(zero initialize, random initialize, xavier initialize, he initialize),深度神经网络,正则化,dropout, 三种梯度下降方法(BGD, SGD, mini-batch),六种优化算法(momentum、nesterov momentum、Adagrad、Adadelta、RMSprop、Adam),梯度检验、batch normalization)、RNN

Language:PythonStargazers:215Issues:0Issues:0

chineseocr_lite

超轻量级中文ocr,支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M

Language:C++License:GPL-2.0Stargazers:11667Issues:0Issues:0

kalman-filter-in-single-object-tracking

A simple implementation of Kalman filter in single object tracking

Language:PythonStargazers:202Issues:0Issues:0

Swin-Transformer

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

Language:PythonLicense:MITStargazers:13426Issues:0Issues:0