Showing 1-20 of 22 projects
High-performance mobile-optimized neural network inference framework for deploying AI models on mobile devices
Powerful AI-powered tool for upscaling, enlarging, and interpolating video, image, and GIF content.
A lightweight Chinese OCR library that supports vertical text recognition and NCNN/MNN/TNN inference with a small model size.
A platform that simplifies the use of cutting-edge AI technologies for developers through GUI tools.
YOLOX is a high-performance anchor-free YOLO model for object detection
A lightweight face detection model optimized for inference on edge devices.
A lite C++ AI toolkit with 100+ models for computer vision tasks like detection, segmentation, and image generation.
OpenMMLab's model deployment framework for optimizing and deploying computer vision models across various backends.
A C++ API and server for deep learning that supports popular frameworks like PyTorch, TensorFlow, and XGBoost.
YOLOv5-Lite is a lightweight object detection model optimized for mobile and embedded devices.
An NCNN-based implementation of Real-ESRGAN, a practical algorithm for general image restoration and super-resolution.
An Android application for super-resolution and image interpolation using popular AI models like RealSR, SRMD, and Waifu2x.
Flowframes is a GUI for video interpolation using DAIN (NCNN) or RIFE (CUDA/NCNN)
A highly efficient and compact MobileNet-based object detection model for real-time inference on mobile devices.
AI-powered image upscaling and restoration tool for developers working with anime, manga, and digital art
Real-time speech recognition and voice activity detection for offline use on multiple platforms.
A C++ library that enables deploying the YOLOv5 object detection model on mobile devices using the NCNN framework.
An efficient and accurate face detection library built with C++ and the NCNN framework.
A high-performance and accurate license plate detection library built using Yolov5 and ncnn.
A high-performance super-resolution library for AI/ML developers, implemented with the ncnn deep learning framework and optimized for GPU acceleration.
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