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S7.NET+ -- A .NET library to connect to Siemens Step7 devices
Add virtual monitors to your windows 10/11 device! Works with VR, OBS, Sunshine, and/or any desktop sharing software.
Add bisenetv2. My implementation of BiSeNet
Source Code of our CVPR2021 paper "Rethinking BiSeNet For Real-time Semantic Segmentation"
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
Segment Anything in High Quality [NeurIPS 2023]
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
A batched offline inference oriented version of segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
C++ implementation of a ScienceDirect paper "An accelerating cpu-based correlation-based image alignment for real-time automatic optical inspection"
V-SWIFT: Training a Small VideoMAE Model on a Single Machine in a Day
Fast Implementation of DBSCAN using Kdtree for acceleration. The example is clustering point cloud(PCL library used).
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持简中、繁中、English、日本語，提供 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 等代码实现
Speechless at the original stable-diffusion
[ECCV 2024] The official implementation of paper "BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion"
Label Studio is a multi-type data labeling and annotation tool with standardized output format
全网最全Stable Diffusion全套教程，从入门到进阶，耗时三个月制作
Implementation of popular deep learning networks with TensorRT network definition API
The minimal opencv for Android, iOS, ARM Linux, Windows, Linux, MacOS, HarmonyOS, WebAssembly, watchOS, tvOS, visionOS
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
[CVPR2021, PAMI2023] End-to-End Object Detection with Learnable Proposal
适用于移动端的人脸识别模型，计算量与mobilefacenet相同，但megaface上提升了2%+
Official Implementation of "DeepCaps: Going Deeper with Capsule Networks" paper (CVPR 2019).