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grokking_algorithms

Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)

handgesturerecognition

[Neurocomputing 2019] Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion

hrnet_tensorrt

human-activity-recognition-in-videos

hungarian

C++ Implementation of the hungarian algorithm

hungarian-algorithm-cpp

A C++ wrapper for a hungarian algorithm implementation

ibn-net

Instance-Batch Normalization Networks (ECCV2018)

idt_modify

image-matching-toolbox

This is a toolbox repository to help evaluate various methods that perform image matching from a pair of images.

image-processing-algorithm-speed

opencv

improveddensetrajectories

Modifications to the Original iDT code by Heng Wang

interview-code-practice-python

面试题

jetson-inference

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

jetson-utils

C++/Python Linux utility wrappers for NVIDIA Jetson - camera, codecs, CUDA, GStreamer, HID, OpenGL/XGL

kalman

Header-only C++11 Kalman Filtering Library (EKF, UKF) based on Eigen3

kcca

Kernel Canonical Correlation Analysis code for Matlab.

kcf

High-Speed Tracking with Kernelized Correlation Filters

kcfcpp

C++ Implementation of KCF Tracker

keras-yolov3-kf-objecttracking

以kears-yolov3做detector，以Kalman-Filter算法做tracker，进行多人物目标追踪

kinetics-i3d

Convolutional neural network model for video classification trained on the Kinetics dataset.

ldescpp

This is a C++ implementation of AAAI2019 paper LDES tracker. Now branch square is available, which uses square templates

learn-algorithms

算法学习笔记

learning-cuda-trt

A large number of cuda/tensorrt cases . 大量案例来学习cuda/tensorrt

learnopencv

Learn OpenCV : C++ and Python Examples

lenet5

Pure numpy implementation of LeNet5, to help you understand how CNN works.

lets_ocr

A repository for OCR, which inlcudes some classical OCR algorithms Pytorch implementation such as CTPN, EAST and CRNN.

light-reid

[ECCV2020] a toolbox of light-reid learning for faster inference, speed both feature extraction and retrieval stages up to >30x

loftr

Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021

m19404

Automatically exported from code.google.com/p/m19404

m19404-1

Automatically exported from code.google.com/p/m19404