Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.
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Updated
May 29, 2024 - C++
Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.
Object Detection using MobileNet SSD caffe model
MobileNetV3 SSD的简洁版本
OpenCV based DNN Object Detection Library for Openframeworks
Face detection model to classify either the face is spoof or not using MobileNet v2 SSD
In this project on=bject detection is applied on real time drone using mobile net ssd.
Face mask detection with mobile net and yoloV4
This repository contains Python code for a project that performs American Sign Language (ASL) detection using multiclass classification. It utilizes YOLO (You Only Look Once) and MobileNetSSD_deploy for object detection, achieving an accuracy of 91%. The code offers options to predict signs from both images and videos.
Nanodet, NanodetPlus, Yolov5, Yolov6, Yolov7, MobileSSD etc. deployment with ncnn/dnn/mnn/SNPE/mace/Torch onto Android
Robot-Deployment Team Final Project: Trained Neural Network implementation for custom image recognition
Detecting licence plates using OpenALPR Library and finding the people without helmets using helmet detection program
Simple app used for detecting objects in images and videos.
Real Time Object Detection With MobileNet and SSD
This project is developed with Python and TensorFlow and is designed to detect sign language live. It uses computer vision techniques to capture the user's gestures in real-time and predict the corresponding sign language symbol.
Object detection with machine learning and OpenCV
Object detection at the edge, with Google's Coral dev board
Object detection using MobileNet SSD (D/L)
Object detection With YoloV5 vs MobileNetSSDv2
Classifier | TensorFlow.js | MobileNet
A simple human recognition api for re-ID usage, power by paper https://arxiv.org/abs/1703.07737
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