Pinned Repositories
ACM_training
this project is used to practice programming by ACM, leetcode and so on
Android_App
Personal Calender
Awesome-Pruning
A curated list of neural network pruning resources.
caffe-face
This branch is developed for deep face recognition
cocodataset.github.io
ConvCRF
This repository contains the reference implementation for our proposed Convolutional CRFs.
deep-head-pose
:fire::fire: Deep Learning Head Pose Estimation using PyTorch.
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
ROS-Academy-for-Beginners
**大学MOOC《机器人操作系统入门》课程代码示例
Peeta586's Repositories
Peeta586/OpenTracker
Real-time C++ ECO tracker etc. speed-up by SSE/NEON, support Linux, Mac, Jetson TX1/2, raspberry pi
Peeta586/pytorch1.0_to_caffe
Converting pytorch1.0 to caffe autmatically
Peeta586/ACM_training
this project is used to practice programming by ACM, leetcode and so on
Peeta586/Awesome-Pruning
A curated list of neural network pruning resources.
Peeta586/deep_sort_pytorch
MOT using deepsort and yolov3 with pytorch
Peeta586/doxygen_learning
to learn doxygen, this project is built; it will give an example code for C/C++ and python;
Peeta586/edgeai-mmdetection
Train Lite (Embedded Friendly) Object Detection models using https://github.com/open-mmlab/mmdetection
Peeta586/folly
An open-source C++ library developed and used at Facebook.
Peeta586/GenAD
GenAD: Generative End-to-End Autonomous Driving
Peeta586/jetson-inference
Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
Peeta586/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.
Peeta586/lidar-bonnetal
Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
Peeta586/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;
Peeta586/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,).
Peeta586/mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
Peeta586/MQBench
Model Quantization Benchmark
Peeta586/ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
Peeta586/Peeta586
Config files for my GitHub profile.
Peeta586/peeta586.github.io
personal resume
Peeta586/PRMLT
Matlab code for machine learning algorithms in book PRML
Peeta586/pyod
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
Peeta586/pytorch-summary
Model summary in PyTorch similar to `model.summary()` in Keras
Peeta586/Recent_SLAM_Research
Track Advancement of SLAM 跟踪SLAM前沿动态【2020 version】
Peeta586/rewrite_caffe
this project is used to practice C++ programming and DL implementation for me. And it references to BLVC/caffe
Peeta586/simpledet
A Simple and Versatile Framework for Object Detection and Instance Recognition
Peeta586/slam_learning
To learn slam technique, the Notes are written by learning from xiang.gao class that is about 14 slides.
Peeta586/SqueezeSegV2
Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
Peeta586/TraDeS
Track to Detect and Segment: An Online Multi-Object Tracker (CVPR 2021)
Peeta586/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...
Peeta586/webots
Webots Robot Simulator