A Flutter plugin for managing both Yolov5 model and Tesseract v4, accessing with TensorFlow Lite 2.x. Support object detection, segmentation and OCR on both iOS and Android.

Detecting company logos using deep learning

瑞芯微芯片的rknn推理框架部署(yolo模型)

A desktop program based on pyside2 is implemented, which uses yolov5 and KNN algorithm to detect falls.实现了一个基于pyside2的桌面程序, 使用yolov5以及KNN算法进行跌倒检测.

A Qt project application based on YOLOv5 in the rknn_model_zoo example, using Opencv to read the camera and display it on the Qt interface, while streaming to the client via UDP

A sophisticated AIoT solution designed to assist novice Texas Hold'em players in refining their understanding of pre-flop win rates, complemented by a two-player live broadcast showcasing real-time win rates on a dedicated webpage.

Pedestrian Target Tracking Based On DeepSORT With YOLOv5

Arduino Bot connected to Azure IoT Hub via MQTT

This is Undergraduate Thesis IoT Project