leonyong

fast_gicp

A collection of GICP-based fast point cloud registration algorithms

libpointmatcher

An Iterative Closest Point (ICP) library for 2D and 3D mapping in Robotics

AnomalyGPT

[AAAI 2024 Oral] AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models

DAF

finetune-anything

Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios

AutoSAM

finetuning SAM with non-promptable decoder on medical images

SAM-Adapter-PyTorch

Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts

pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

lightning-sam

Fine-tune Segment-Anything Model with Lightning Fabric.

lit-llama

Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

vid2densepose

Convert your videos to densepose and use it on MagicAnimate

magic-animate

[CVPR 2024] MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model

video-srt-windows

这是一个可以识别视频语音自动生成字幕SRT文件的开源 Windows-GUI 软件工具。

anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

awesome-industrial-anomaly-detection

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

PaddleOCR

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

CogVLM

a state-of-the-art-level open visual language model | 多模态预训练模型

segment-anything-fast

A batched offline inference oriented version of segment-anything

Unsupervised-Segmentation

A high performance impermentation of Unsupervised Image Segmentation by Backpropagation - Asako Kanezaki

Basic-Image-Processing

Implementation of Basic Digital Image Processing Tasks in Python / OpenCV

pyImSegm

Image segmentation - general superpixel segmentation & center detection & region growing

ChanVese_Levelset_Segmentation

Reference implementation of Chan-Vese Level Set segmentation for 2D grayscale images

spectral

Python module for hyperspectral image processing

Personalize-SAM

Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds

anylabeling

Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything, MobileSAM!!

3D-Teeth-Reconstruction-from-CT-Scans

SJTU-CS337 Computer Graphics Course Project

CT-Fan-beam-FBP-reconstruction

CT image reconstruction using Fan-beam Filtered back-projection with Parker and Differential weighting.

CTReconstruction

Algorithms for ct reconstruction

CTBangBang

Fast, lightweight, GPU-based, CT Image Reconstruction

Xrays_CT

3D Reconstruction from of 2D X-rays