LIMUNQUE

Joshua Cobos's starred repositories

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Language:Jupyter NotebookMIT2375100

Grounded-Segment-Anything

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Language:Jupyter NotebookApache-2.01424900

segment-anything-webui

Yet another SAM webui + CLIP

Language:TypeScript23200

Text-to-SegmentAnything

input text prompt to segment anything model

Language:Jupyter Notebook1100

Personalize-SAM

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

Language:PythonMIT147400

GroundingDINO

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

Language:PythonApache-2.0574900

sam-pt

SAM-PT: Extending SAM to zero-shot video segmentation with point-based tracking.

Language:PythonApache-2.093700

auto-labelling-SamAnything

Hola, chicos en este repositorio encontrarán la programación para que puedan crear su sistema de etiquetado automatico para segmentacion de instancias.

Language:Python200

FastSAM

Fast Segment Anything

Language:PythonAGPL-3.0716700

segment_anything_webui

A simple Segment Anything WebUI based on Gradio.

Language:Python6600

pytorch-lightning

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

Language:PythonApache-2.02756100

lightning-sam

Fine-tune Segment-Anything Model with Lightning Fabric.

Language:PythonApache-2.046000

lang-segment-anything

SAM with text prompt

Language:Jupyter NotebookApache-2.0139600

a SAM based geographic information extraction tool just by interactive click on remote sensing image, as well as an efficient geospatial labeling tool. While extracting geometries for geographic entities much more quickly, you can construct and optimize a land-cover classification system according to the nature characteristics of earth photo.

Language:PythonGPL-2.01300

MetaSAM-GIS

Meta SAM GIS

Language:Jupyter Notebook700

segment-geospatial

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

Language:PythonMIT277300

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.

Language:Jupyter NotebookApache-2.04568700