Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

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) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering

MobileNetV3-SSD for object detection and implementation in PyTorch

A Light CNN based Method for Hand Detection and Orientation Estimation

Real-time object-detection using SSD on Mobilenet on iOS using CoreML, exported using tf-coreml

BetterNetWork4SSD

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

How to train an object detection model easy for free

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

Realtime Object recognition using OpenCV 3.3 dnn module and pretrained MobileNetSSD caffe model

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)

Mobilenet SSD based pedestrian detection

Spring 2018 - 10.009 Digital World 1D Project