目标检测 - R-CNN算法实现

The official implementation code of paper: "AU R-CNN：Encoding Expert Prior Knowledge into R-CNN for Action Unit Detection".

keras实现faster rcnn，end2end训练、预测; 持续更新中,见todo... ;欢迎试用、关注并反馈问题

A R-CNN machine learning model for handling Pop-up window in mobile Apps.

My implementation of RCNN for the Flower Dates

Real time instance segmentation with Mask R-CNN, live from webcam feed.

R-FCN Tensorflow version for primary students

An academic project about the retrieve of information about notes in music sheets using a Faster R-CNN and MUSCIMA++ dataset. The project was made by me and Federico Magnolfi [@fedem96].

creating intel company oriented design

Deployment of different object detection models.

Implementation of SPP-net Algorithm

Pengaplikasian Algoritma Divide and Conquer Dalam Optimasi R-CNN Semantic Segmentation

Welcome to this repository! Here we explored the topic of traffic lights detection and its recognition for helping the Autonomous Vehicles in their interpretation of traffic lights and decision making while driving.

Object Detection Using Faster R-CNN models

Projet d'étude d'étiquetage d'image par deep-learning. Détection d'objets et de relations entre objets.

This has three main projects , which includes the Pest detection on palm tree, Mango harvesting and Monkey scaring. Introduction: Autonomous Drone System for Precision Agriculture and Wildlife Management The growing demands of modern agriculture and wildlife management necessitate the development of robots capable of performing tasks autonomously,

A real-time weapon detection system for security surveillance that identifies firearms and distinguishes them from harmless objects. The system processes video input, highlights detected weapons with bounding boxes, and can extract frames containing weapons for further analysis. Built using deep learning (Faster R-CNN with PyTorch) and OpenCV.

Mask R-CNN with OpenCV