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剑指Offer的Python版本
Especially focusing on violent situations in cap
Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder
Abnormal Event Detection in Surveillance Systems
算法/数据结构/Python/剑指offer/机器学习/leetcode
:notebook:Java后端知识图谱
Collection of awesome interview references.
C3D for Keras (only Tensorflow backend at the moment) with easy preprocessing and automatic downloading of TF format sports1M weights
Download Caltech Pedestrian Dataset and convert them for Python users without using MATLAB
A tool that automatically extracts network structures from Tensorflow model files
CogniTrack is an Artificial Intelligence powered person tracking system that acquires images from CCTV cameras and tracks individuals appearing in the frame in real-time.
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
【Java面试+Java学习指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
Models and examples built with TensorFlow
Pre-trained and Reproduced Deep Learning Models (『飞桨』官方模型库,包含多种学术前沿和工业场景验证的深度学习模型)
Public places like restaurants and certain other viable places like banks or ATM’s are in need of constant supervision against amoral and undesirable activities. These undesirable activites are often markedly preceded by apparent behavioral quirks. However, constant manual monitoring using security cameras may miss abnormal cues preceeding unpleasant consequences due to human error. Picking up these quirks can improve the efficiency of monitoring any public place.This project attempts to semi-automize the security system using machine learning and image processing techniques to increase the efficacy and accuracy in the prediction of abnormal behaviour.
mxnet_mtcnn_head_detect
springboot2.0开发的个人网站,集成了:个人首页,个人博客,个人作品
YOLO & RCNN Object Detection and Tracking
Code to Detect Pedestrians even in occluded conditions using Faster RCNN with the concept of Repulsion Loss.
In present days, people detection, tracking and counting is an important aspect in the video investigation and subjection demand in Computer Vision Systems. Providing (real time) traffic information will help improve and reduce pedestrian and vehicle traffic, especially when the data collected is learned and analyzed over a period of time, which makes its highly essential to identify people, vehicles and objects in general and also accurately counting the number of people and/or vehicles entering and leaving a particular location in real time. To perform people counting, a robust and efficient system is needed. This research is aimed at making a pedestrian traffic reporting system for certain areas and buildings around the campus to potentially help ease traffic circulation. Providing this information will be done through a developed application, which includes image processing with Open Computer Vision (OpenCV). This will show the amount of traffic in certain buildings or area over a period of time. OpenCV is a cross-platform library which can be used to develop real-time Computer Vision applications [Opencv, 2015b]. It is mainly focused on image processing, video capture and analysis including features like people and object detection. The operations performed were based on the performance and accuracy of the tracking algorithms when implemented in embedded devices such as the Raspberry Pi and the Tinker Board. The Pi Camera was used for real time vision and hosted on the embedded device. The proposed method used was conjoined with an open-source visual tracking implementation from the contribution branch of the OpenCV library and a unique technique for people detection along with different Filtering Algorithms for tracking this. The programming language of choice to implement these features (Tracking and Detection) is python and its libraries. The present work describes a standalone people counting application designed using Python OpenCV and tested on embedded devices ranging from the Raspberry Pi3 to a Tinker Board and a compatible Camera. All these were used in prototyping the design of this application. The results reported and showed that the Person-Counter system developed counted the number of people entering the designated area (down), and the number of people leaving (up).
Video Compression through Image Interpolation (ECCV'18) [PyTorch]
Tensorflow implementation of Repulsion Loss.
Repulsion Loss: Detecting Pedestrians in a Crowd. https://arxiv.org/abs/1711.07752
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.