Classification of Lung cancer slide images using deep-learning

camera calibration

Free Motion Capture for Everyone 💀✨

Sceneform-EQR extends Google’s Sceneform Android SDK, supporting graphics, video, AR, and VR applications. It integrates ARCore, AREngine, and ORB-SLAM, and provides AR, VR, and custom background s…

Experimental AR Application based on ORB-SLAM2 and Unity3D

This is the official PyTorch implementation of paper: Video Individual Counting for Moving Drones, ICCV 2025 highlight.

Executable lectures for Autumn 2025

Gaze-LLE-DINOv3: Gaze Target Estimation via Large-Scale Learned Encoders with DINOv3.

Generate .obj and CityGML(.gml) files for virtual city 3D scene

Tiny, Fast, and Deployable anywhere — automate the mundane, unleash your creativity

Design engineering for Claude Code. Craft, memory, and enforcement for consistent UI.

use wechat to connect openclaw

TurboDiffusion: 100–200× Acceleration for Video Diffusion Models

An algorithm that uses YoloV5 and DeepSORT to count and measure the number of vehicles in a video stream, it detects the vehicles with YoloV5 and tracks them with DeepSORT to maintain a count of un…

Counting pigs app using Jetson Nano with custom-trained YOLOv7, SORT tracking and complete instructions.

Use Yolov5_ StrongSORT counts pigs in the past.

Android application developed to facilitate pedestrian crossing

Automated_grading_of_Korean_comeerical_pig

The pig counting and detection dataset,

Advancing Open-source World Models

This is an android app about pedestrian identification and tracking, use ByteTrack

YOLO-based Automatic License Plate Recognition and Tracking for Android - YOLO11 + ByteTrack + NCNN with Vulkan GPU acceleration

An Android app for real-time vehicle and pedestrian counting using YOLOv10-TFLite. Supports multi-directional tracking (L↔R, T↔B) with SORT, Kalman Filter, and the Hungarian Algorithm. Developed in…

This project implements object detection using YOLOv8 with a USB camera on an Android app. The application is written in Kotlin.