peeta586,github

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.

caffe-face

This branch is developed for deep face recognition

convcrf

This repository contains the reference implementation for our proposed Convolutional CRFs.

deep-head-pose

:fire::fire: Deep Learning Head Pose Estimation using PyTorch.

deep_sort_pytorch

MOT using deepsort and yolov3 with pytorch

dface

Deep learning face detection and recognition, implemented by pytorch. (pytorch实现的人脸检测和人脸识别)

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.

leetcode

The optimum C++ solutions for the leetcode

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;

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,).