lpj0822's Stars
gaowenliang/imu_utils
A ROS package tool to analyze the IMU performance.
Kyle-ak/imu_tk
ethz-asl/kalibr
The Kalibr visual-inertial calibration toolbox
ayooshkathuria/YOLO_v3_tutorial_from_scratch
Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"
GZQ0723/vatic_BasicFinder-HIVE
johndoherty/vatic_tracking
A cpp library to be used with vatic
jukanntenn/django-blog-tutorial
基于 Python3.5 和 Django 1.10 的 Django Blog 项目。
BichenWuUCB/SqueezeSeg
Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation
qianguih/voxelnet
This is an unofficial inplementation of VoxelNet in TensorFlow.
algorithm-visualizer/algorithm-visualizer
:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
IntelRealSense/librealsense
Intel® RealSense™ SDK
lpj0822/auto_sample_mark
sample mark
eldar/pose-tensorflow
Human Pose estimation with TensorFlow framework
CMU-Perceptual-Computing-Lab/caffe_rtpose
Realtime C++ code for multi-person pose estimation
CMU-Perceptual-Computing-Lab/openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
lpj0822/ImageBasedAlgorithm
ImageBasedAlgorithm
facebookarchive/caffe2
Caffe2 is a lightweight, modular, and scalable deep learning framework.
facebookresearch/DensePose
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
Naman-ntc/Pytorch-Human-Pose-Estimation
Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models
ayooshkathuria/pytorch-yolo-v3
A PyTorch implementation of the YOLO v3 object detection algorithm
spmallick/learnopencv
Learn OpenCV : C++ and Python Examples
reu2018DL/YOLO-LITE
All the trained models used while developing YOLO-LITE
dvornikita/context_aug
Context-driven data augmentation for Object Detection (ECCV'18)
vipstone/faceai
一款入门级的人脸、视频、文字检测以及识别的项目.
davisking/dlib
A toolkit for making real world machine learning and data analysis applications in C++
davisking/pyimageconf2018
My talk and workshop materials from pyimageconf 2018
liuzhuang13/DenseNet
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
liuzhuang13/DenseNetCaffe
Caffe code for Densely Connected Convolutional Networks (DenseNets)
IntelLabs/distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
cvat-ai/cvat
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.