Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.
翻译 - 多对象跟踪器，基于匈牙利算法+卡尔曼滤波器。
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
翻译 - Google MobileNet SSD检测网络的Caffe实施，在VOC0712和mAP = 0.727上具有预训练的权重。
Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering
[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + ...
MobileNetV3-SSD for object detection and implementation in PyTorch
A Light CNN based Method for Hand Detection and Orientation Estimation
#IOS#Real-time object-detection using SSD on Mobilenet on iOS using CoreML, exported using tf-coreml
#计算机科学#This project aims to do real-time object detection through a laptop cam using OpenCV. The idea is to loop over each frame of the video stream, detect objects, and bound each detection in a box.
MobileNets-SSD/SSDLite on VOC/BDD100K Datasets
MobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy.
MobilNet-SSD object detection in opencv 3.4.1
MobileNetV3 SSD的简洁版本
#计算机科学#Realtime Object recognition using OpenCV 3.3 dnn module and pretrained MobileNetSSD caffe model
#计算机科学#Tensorflow 2 single shot multibox detector (SSD) implementation from scratch with MobileNetV2 and VGG16 backbones
RaspberryPi3(Raspbian Stretch) + MobileNetv2-SSDLite(Tensorflow/MobileNetv2SSDLite) + RealSense D435 + Tensorflow1.11.0 + without Neural Compute Stick(NCS)
OpenCV based DNN Object Detection Library for Openframeworks
A simple human recognition api for re-ID usage, power by paper https://arxiv.org/abs/1703.07737