Pinned Repositories
apollo
An open autonomous driving platform
AutoLabelImg
auto-labelimg based on yolov5, with many other useful tools
Awesome-Occupancy-Network
Awesome papers and codebases about Occupancy Network in Tesla AI Day 2022
ByteTrack
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
calibration_camera_lidar
从autoware分离出来的相机雷达联合标定ros包
crnn_by_tensorflow2.2.0
一个基于TensorFlow2.2.0的中文CRNN模型
CUDA_Freshman
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
kalman-filter-in-single-object-tracking
A simple implementation of Kalman filter in single object tracking
ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
mikasazgx's Repositories
mikasazgx/CUDA_Freshman
mikasazgx/ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
mikasazgx/apollo
An open autonomous driving platform
mikasazgx/AutoLabelImg
auto-labelimg based on yolov5, with many other useful tools
mikasazgx/Awesome-Occupancy-Network
Awesome papers and codebases about Occupancy Network in Tesla AI Day 2022
mikasazgx/ByteTrack
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
mikasazgx/crnn_by_tensorflow2.2.0
一个基于TensorFlow2.2.0的中文CRNN模型
mikasazgx/kalman-filter-in-single-object-tracking
A simple implementation of Kalman filter in single object tracking
mikasazgx/LapDepth-release
Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals
mikasazgx/learning-cuda-trt
A large number of cuda/tensorrt cases . 大量案例来学习cuda/tensorrt
mikasazgx/libtorch-yolov3-deepsort
mikasazgx/Lidar-Camera-Calibration-Software
Lidar Camera Manual Target-less Calibration Software
mikasazgx/LWSNet
Stereo Matching Network
mikasazgx/MachineLearning
Implement Machine learning algorithm by myself using Python 3.6
mikasazgx/mAP
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
mikasazgx/mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.
mikasazgx/monolayout
MonoLayout: Amodal Scene Layout from a single image
mikasazgx/moving_object_detector
Moving objects detection from stereo images for ROS
mikasazgx/nerf-pytorch
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
mikasazgx/Paddle3D
mikasazgx/pylot
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
mikasazgx/rknn-cpp-Multithreading
A simple demo of yolov5s running on rk3588/3588s using c++ (about 142 frames). / 一个使用c++在rk3588/3588s上运行的yolov5s简单demo(142帧/s)。
mikasazgx/SensorsCalibration
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
mikasazgx/Stereo-RCNN
Code for 'Stereo R-CNN based 3D Object Detection for Autonomous Driving' (CVPR 2019)
mikasazgx/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
mikasazgx/TensorRT-CenterNet
tensorrt5 , centernet , centerface, deform conv, int8
mikasazgx/TensorRT-CenterNet-3D
tensorrt5, centernet, 3d detection, kitti, centerface, deform conv, int8,
mikasazgx/tensorRT_Pro
C++ library based on tensorrt integration
mikasazgx/YOLO3D
YOLO 3D Object Detection for Autonomous Driving Vehicle
mikasazgx/YOLO3D-YOLOv4-PyTorch
YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018)