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face_recognition_py

基于OpenCV的视频人脸识别

fire-detection

Detect fire in surveillance videos with flame and smoke detection

fire-detection-cnn

real-time fire detection in video imagery using a convolutonal neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon)

firenet-lightweight-network-for-fire-detection

flame-detection-system

A video-based multi-feature flame detection system.

flann

Fast Library for Approximate Nearest Neighbors

forest-fire-detection-through-uav-imagery-using-cnns

Wildfire is a natural disaster, causing irreparable damage to local ecosystem. Sudden and uncontrollable wildfires can be a real threat to residents’ lives. Statistics from National Interagency Fire Center (NIFC) in the USA show that the burned area doubled from 1990 to 2015 in the USA. Recent wildfires in northern California (reported by CNN) have already resulted in more than 40 deaths and 50 missing. More than 200,000 local residents have been evacuated under emergency. The wildfires occur 220,000 times per year globally, the annual burned area is over 6 million hectares. Accurate and early detection of wildfire is therefore of great importance. Fire detection task is crucial for people safety. Several fire detection systems were developed to prevent damages caused by fire. One can find different technical solutions. Most of them are sensors based and are also generally limited to indoors. They detect the presence of particles generated by smoke and fire by ionization, which requires a close proximity to the fire. Consequently, they cannot be used in large covered area. Moreover, they cannot provide information about initial fire location, direction of smoke propagation, size of the fire, growth rate of the fire, etc. To get over such limitations video fire detection systems are used

gluon-cv

Gluon CV Toolkit

humanbehaviorbku

Abnormal Behaviors Detection/ Road Accident Detection From Surveillance Videos

image-and-speech-processing

Face and speech recognition by use pyqt5 face_recognition baiduai

inferno-realtime-fire-detection-using-cnns

FPGA Deployable Fire Detection Model for Real-Time Video Surveillance Systems Using Convolutional Neural Networks

iou-tracker

Python implementation of the IOU Tracker

its2017_validation

Vehicle detetion and speed estimation from side-view camera

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

ks_traffic_analyzer

The application for counting, classifying and measure the speed of vehicles based on a video.

labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

lan-web-video-player

python3 flask+dplayer

lanenet-lane-detection

Implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

lantern-binaries

Lantern installers binary downloads.

latex-templates

A concise set of Latex templates that serves a small set of needs - CV, Essays, Articles and Problem Sets

license-plate-detection

This project using yolo3 to detection license plate in street

litter-detection-tensorflow

Object Detection algorithm trained to identify litter from Google Streets :: [CIS490 Project Management Final Project]

lprnet_pytorch

Pytorch Implementation For LPRNet, A High Performance And Lightweight License Plate Recognition Framework.

mobilenet-ssd-windows

mobilenet-yolo

A caffe implementation of MobileNet-YOLO detection network

mobilenet_ssd_pedestrian_detection

Mobilenet SSD based pedestrian detection

models

Models and examples built with TensorFlow

moga

MoGA: Searching Beyond MobileNetV3

multi-type_vehicles_flow_statistics

According to YOLOv3 and SORT algorithms, counting multi-type vehicles. Implemented by Pytorch.

musicbox

:blush: :musical_note: MusicPlayer 一站式收听多平台音乐(网易云, 虾米, QQ)的跨平台音乐播放器，尽情享受吧~:sparkles: