shitoudidi Goto Github PK

pytorch-cyclegan-and-pix2pix

https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix.git

pytorch-cyclegan-and-pix2pix-1

Image-to-Image Translation in PyTorch

pytorch-deepglr

A pytorch implementation of Deep Graph Laplacian Regularization for image denoising

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

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

pytorch-msssim

Fast and differentiable MS-SSIM and SSIM for pytorch.

pytorch_classification

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

qd-imd

Quick Draw Irregular Mask Dataset

qgis

QGIS is a free, open source, cross platform (lin/win/mac) geographical information system (GIS)

qupath

QuPath - Bioimage analysis & digital pathology

real-esrgan

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

realesrgan-gui

实用、美观的 Real-ESRGAN 图形界面，同时支持 Windows、Ubuntu 和 macOS 平台。(Cross-platform GUI for image upscaler Real-ESRGAN with additional features.)

recognize-anything

Code for the Recognize Anything Model (RAM) and Tag2Text Model

resept

A deep-learning framework for characterizing and visualizing tissue architecture from spatially resolved transcriptomics

restormer

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

restormer-1

Reproduce of the CVPR 2022 paper "Restormer: Efficient Transformer for High-Resolution Image Restoration"

restormer-ft

Fine Tuning Restormer

restormer-plus

restormer_paddle

sam-assistant

🤖 Sam-assistant is a personal assistant that is designed to understand your documents, search the internet, and in future versions, create and understand images, and communicate with you. It is built in Python, mainly using Langchain and implements most of Langchain

sam-cell-detection

SAM on medical images based on https://github.com/facebookresearch/segment-anything

sam_batch_segmentation

This repository provides scripts for generating segmentation masks using the Segment Anything Model (SAM) from Facebook, and includes tools for identifying subdirectories in the data folder that still require annotation.

samed

The implementation of the technical report: "Customized Segment Anything Model for Medical Image Segmentation"

scs

Sub-cellular spatial transcriptomics Cell Segmentation

sd-webui-segment-anything

Segment Anything for Stable Diffusion WebUI

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.

segment-anything-eo

Earth observation tools for Meta AI Segment Anything

semantic-segment-anything

Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).

server

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

sftgan

CVPR18 - Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform