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.

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

Inpaint anything using Segment Anything and inpainting models.

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Open-source and strong foundation image recognition models.

Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022

Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.

Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3

Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629

⚠️ [ARCHIVED] This version has been archived as of october 2024 and will not be updated anymore, please refer to the README for a link to the new version. This is the official repository for the Re…

A 3D Slicer integration to Meta's SAM.

RAPiD: Rotation-Aware People Detection in Overhead Fisheye Images (CVPR 2020 Workshops)

[ECCV 2024] ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Medical Image

Layout Generation and Baseline implementations

Deep homography network with Pytorch

The unofficial implementation of the paper Deep Image Homography Estimation.

Inpaint anything using Segment Anything and inpainting models.