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deep_sort icon deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

deep_sort_yolov3 icon deep_sort_yolov3

Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow

deepcc icon deepcc

Multi-Target, Multi-Camera Tracking

deepid icon deepid

deep face recognition algorithm

deepid2_based_inception icon deepid2_based_inception

this network is built based on Inception. and optimize it by using identification loss and verification loss which derive from DeepID2+

deepmot icon deepmot

Official implementation of DeepMOT: A Differentiable Framework for Training Multiple Object Trackers.

deepsort icon deepsort

c++ version of https://github.com/nwojke/deep_sort.

detect-track icon detect-track

Code release for "Detect to Track and Track to Detect", ICCV 2017

detect-track-1 icon detect-track-1

Four tracking algorithms organized with cascade classifier or YOLOv3 for object detection.

eco icon eco

c++ visual studio implement of ECO: Efficient Convolution Operators for Tracking

eco-pytorch icon eco-pytorch

PyTorch implementation for "ECO: Efficient Convolutional Network for Online Video Understanding", ECCV 2018

efficientdet icon efficientdet

EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow

experimenting-with-sort icon experimenting-with-sort

Experimenting with sort different classical tracking algorithms for real time multiple object tracking (MOT)

face-login icon face-login

基于mtcnn/facenet/tensorflow 实现人脸识别登录系统

fast-mtcnn icon fast-mtcnn

a casual work about retraining to optimize mtcnn Pnet and ONet. it can achieve 100+fps on CPU with minSize 60 (1920x1080) on intel i7 6700k

fcn.berkeleyvision.org icon fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

goturn icon goturn

Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016

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