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action-recognition

Exploration of different solutions to action recognition in video, using neural networks implemented in PyTorch.

actionrecognition

Action Recognition based on Pose Estimation. Graduation Project for Bachelor Degree.

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

anomaly_detection_by_lstm

This repository aims to predict sudden changing point from input time series data using LSTM.

clock

电子钟 ，加表盘显示模式，再加显示日期

clssegnet

cps-ocr-engine

An awesome OCR engine developed by SYSU DeepDriving Lab

cs-books

🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

custom-cnn-based-image-classification-in-pytorch

cv_projects

General Computer Vision Projects

djangoblog

🍺基于Django的博客系统

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fashionai-keypointsdetectionofapparel

FashionAI Key Points Detection using CPN model in Pytorch

gkutils

Useful utils

high-quality-ellipse-detection

A high-quality ellipse detector based on arc-support line segments which can both accurately and efficiently detect ellipses in images.

human-falling-detect-tracks

AlphaPose + ST-GCN + SORT.

human-pose-estimation-benchmarking-and-action-recognition

Deep Learning Project.

hyperlpr

基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.

it_da_colorrecognition

It is a system that checks whether there are customers in the seats through the camera in the cafe. Open cv, c++ were used, and the seat area was specified in the fixed camera, This is a method of recognizing when there is a color other than the background color by extracting the background color from the area.

kapao

KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.

keypointsdetection

using deep learining to detect keypoints in PyTorch

learnopencv

Learn OpenCV : C++ and Python Examples

lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

lstm-time-series-prediction-pytorch

Long Short Term Memory unit (LSTM) was typically created to overcome the limitations of a Recurrent neural network (RNN). The Typical long data sets of Time series can actually be a time-consuming process which could typically slow down the training time of RNN architecture. We could restrict the data volume but this a loss of information. And in any time-series data sets, there is a need to know the previous trends and the seasonality of data of the overall data set to make the right predictions.

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

micronet

minidl

C++从零开始深度学习

mit-driverless-cv-traininginfra

PyTorch pipeline of MIT Driverless Computer Vision paper(2020)

mm3

Version 3 of Python mother machine analysis code

multimodal-dmm

A PyTorch implementation of Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series (https://arxiv.org/abs/1905.13570).