🛣️🔍 | Road crack segmentation using UNet in PyTorch > Implementation of different loss functions (i.e Focal, Dice, Dice + CE)
2023-03-11
否
2025-04-15T05:25:15Z
📷 | DarkNet19, DarkNet53, DarkNet53-ELASTIC and CSPDarkNet53 Implementation using PyTorch
Cognition's results and methodology on SWE-bench
Applying Octave UNet for Retinal Vessel Segmentation.
Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. D...
Drogon是一个基于C++17/20的Http应用框架,使用Drogon可以方便的使用C++构建各种类型的Web应用服务端程序。 本版本库是github上Drogon工程的镜像库
Retinal Vessel Segmentation using U-Net architecture. DRIVE and STARE datasets are used.
Retinal vessel segmentation toolkit based on pytorch
📷 | DarkNet19, DarkNet53, DarkNet53-ELASTIC and CSPDarkNet53 Implementation using PyTorch
Detected the number of steps taken from iPhone's accelerometer data using a step-detection algorithm with 99% accuracy. Developed an activity recognition classifier to identify whether the user is cyc...
#计算机科学#One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
A C++ library for interacting with JSON.
real time application to measure heart rate
0 条讨论