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mask2former icon mask2former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

mmcv icon mmcv

OpenMMLab Computer Vision Foundation

moess icon moess

使用C++ OnnxRuntime 重构了Tacotron2、VITS、SoVIts、DiffSvc和DiffSinger推理的集成UI软件

mossapp icon mossapp

A GUI application for submitting code files to MOSS

onlinedisk icon onlinedisk

大数据企业实训项目:基于SpringMVC+Spring+HBase+Maven搭建的Hadoop分布式云盘系统。使用Hadoop HDFS作为文件存储系统、HBase作为数据存储仓库,采用SpringMVC+Spring框架实现,包括用户注册与登录、我的网盘、关注用户、我的分享、我收到的分享等五大功能模块。其中我的网盘包括查看文件列表,多文件上传,创建文件夹,文件重命名、复制与移动、下载、在线浏览、分享等诸多功能。所使用的技术包括:SpringMVC框架、Spring框架、Maven项目管理工具、Hadoop HDFS文件系统、HBase数据库、openoffice服务、pdf2swf文件格式转换工具、flexpaper插件等。

overview icon overview

中文编程的历史、现状和展望。issue 中进行相关问题的讨论.

pl0-language-tools icon pl0-language-tools

An implementation of PL/0 including a tree-based interpreter and virtual machine.

pl0_compiler icon pl0_compiler

PL0 Compiler 编译原理 C 语言 实现的 PL/0 编译器 flex & bison

psgan-family icon psgan-family

PyTorch Code for "PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-sharpening". TGRS 2021

pydensecrf icon pydensecrf

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

pytorch-captcha-recognition icon pytorch-captcha-recognition

基于CNN训练的一套 "端到端" 的验证码识别模型,使用深度学习+训练数据+大量计算力,纯数字识别率高达 99.99%,数字+字母识别率 96%

pytorch-image-models icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

qq- icon qq-

仿qq音乐的项目

run icon run

润学全球官方指定GITHUB,整理润学宗旨、纲领、理论和各类润之实例;解决为什么润,润去哪里,怎么润三大问题; 并成为新**人的核心宗教,核心信念。

seckill icon seckill

ByteCamp 2019 高并发高可用秒杀系统设计与实现 工程赛道三等奖(字节跳动夏令营入营 Top 150 in 6000+,Team Top 3 in 16 ,秒杀赛场 Top 1)

segformer icon segformer

Official PyTorch implementation of SegFormer

semantic-segmentation icon semantic-segmentation

采用Pytorch的入门语义分割项目,支持的网络有Unet和Segnet;遥感语义分割;Unet;Segnet;Remote sensing semantic segmentation;

setr icon setr

[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

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