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tuskaw's Projects

yolo-fastest icon yolo-fastest

:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+

yolo3d icon yolo3d

YOLO 3D Object Detection for Autonomous Driving Vehicle

yolo3d-1 icon yolo3d-1

Implementation of a basic YOLO model for object detection in 3D

yolobile icon yolobile

This is the implementation of YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design

yolop icon yolop

You Only Look Once for Panopitic Driving Perception.(https://arxiv.org/abs/2108.11250)

yolov5_ncnn icon yolov5_ncnn

🍅 Deploy ncnn on mobile phones. Support Android and iOS. 移动端ncnn部署,支持Android与iOS。

yolov7 icon yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

yolox icon yolox

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

z_gan icon z_gan

Image-to-Voxel Model Translation with Conditional Adversarial Networks

zdepth icon zdepth

Zdepth :: Streaming Depth Compressor in C++ for Azure Kinect DK

zed-openpose icon zed-openpose

Real-time 3D multi-person detection made easy with OpenPose and the ZED

zeromqdemos icon zeromqdemos

A collection of ZeroMQ demos (using NetMQ the native C# ZeroMQ implementation)

zinnia.unity icon zinnia.unity

A collection of design patterns for solving common problems.

zstd icon zstd

Zstandard - Fast real-time compression algorithm

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