mikasazgx's starred repositories
SensorsCalibration
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
nerf-pytorch
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
Awesome-Occupancy-Network
Awesome papers and codebases about Occupancy Network in Tesla AI Day 2022
mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.
AutoLabelImg
auto-labelimg based on yolov5, with many other useful tools
Lidar-Camera-Calibration-Software
Lidar Camera Manual Target-less Calibration Software
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.
monolayout
MonoLayout: Amodal Scene Layout from a single image
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"
TensorRT-CenterNet-3D
tensorrt5, centernet, 3d detection, kitti, centerface, deform conv, int8,
TensorRT-CenterNet
tensorrt5 , centernet , centerface, deform conv, int8
moving_object_detector
Moving objects detection from stereo images for ROS
Stereo-RCNN
Code for 'Stereo R-CNN based 3D Object Detection for Autonomous Driving' (CVPR 2019)
StereoVisionforADAS
Stereo vision based object detection for ADAS, autonomous vehicle
YOLO3D-YOLOv4-PyTorch
YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018)
tensorRT_Pro
C++ library based on tensorrt integration
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
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
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
kalman-filter-in-single-object-tracking
A simple implementation of Kalman filter in single object tracking
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".