Peeta586's repositories
OpenTracker
Real-time C++ ECO tracker etc. speed-up by SSE/NEON, support Linux, Mac, Jetson TX1/2, raspberry pi
pytorch1.0_to_caffe
Converting pytorch1.0 to caffe autmatically
ACM_training
this project is used to practice programming by ACM, leetcode and so on
Awesome-Pruning
A curated list of neural network pruning resources.
deep_sort_pytorch
MOT using deepsort and yolov3 with pytorch
doxygen_learning
to learn doxygen, this project is built; it will give an example code for C/C++ and python;
edgeai-mmdetection
Train Lite (Embedded Friendly) Object Detection models using https://github.com/open-mmlab/mmdetection
folly
An open-source C++ library developed and used at Facebook.
GenAD
GenAD: Generative End-to-End Autonomous Driving
jetson-inference
Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
learning_flask
build the project for learning flask, according to the official flask websit. in this learning process，the enough notes of code will be recorded for better and deeper understanding.
lidar-bonnetal
Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
Lidar-object-clustering-AND-ground-remove
激光雷达障碍物检测和聚类，参考论文： Efficient Online Segmentation for Sparse 3D Laser Scans ; 其中包含地面分割代码 ransac;
Lidar_AI_Solution
A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, YUV2RGB, cuOSD,).
mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
Peeta586
Config files for my GitHub profile.
peeta586.github.io
personal resume
PRMLT
Matlab code for machine learning algorithms in book PRML
pyod
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
pytorch-summary
Model summary in PyTorch similar to `model.summary()` in Keras
Recent_SLAM_Research
Track Advancement of SLAM 跟踪SLAM前沿动态【2020 version】
rewrite_caffe
this project is used to practice C++ programming and DL implementation for me. And it references to BLVC/caffe
slam_learning
To learn slam technique, the Notes are written by learning from xiang.gao class that is about 14 slides.
SqueezeSegV2
Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
Web
前端入门和进阶学习笔记，超详细的Web前端学习图文教程。从零开始学前端，做一名精致的前端工程师。持续更新...
webots
Webots Robot Simulator