ryouchinsa

normalize.css

A modern alternative to CSS resets

mkdocs-material

Documentation that simply works

supervision

We write your reusable computer vision tools. 💜

Grounded-Segment-Anything

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

openFrameworks

openFrameworks is a community-developed cross platform toolkit for creative coding in C++.

yolov9

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Depth-Anything

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

GroundingDINO

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

SwiftOCR

Fast and simple OCR library written in Swift

YOLO-World

[CVPR 2024] Real-Time Open-Vocabulary Object Detection

X-AnyLabeling

Effortless data labeling with AI support from Segment Anything and other awesome models.

MedSAM

Segment Anything in Medical Images

Mask2Former

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

EfficientSAM

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

ISAT_with_segment_anything

Labeling tool with SAM(segment anything model),supports SAM, sam-hq, MobileSAM EdgeSAM etc.交互式半自动图像标注工具

SAM-Med2D

Official implementation of SAM-Med2D

EdgeSAM

Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"

RepViT

RepViT: Revisiting Mobile CNN From ViT Perspective [CVPR 2024] and RepViT-SAM: Towards Real-Time Segmenting Anything

exporters

Export Hugging Face models to Core ML and TensorFlow Lite

datumaro

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

bop_toolkit

A Python toolkit of the BOP benchmark for 6D object pose estimation.

segment-anything-annotator

We developed a python UI based on labelme and segment-anything for pixel-level annotation. It support multiple masks generation by SAM(box/point prompt), efficient polygon modification and category record. We will add more features (such as incorporating CLIP-based methods for category proposal and VOS methods for video datasets

yolo-ios-app

Ultralytics YOLO iOS App source code for running YOLOv8 in your own iOS apps 🌟

PercepTreeV1

Implementation of Grondin et al. 2022 "Tree Detection and Diameter Estimation Based on Deep Learning". Also includes datasets and some of the pretrained models.

sam-cpp-macos

Segment Anything CPP Wrapper for macOS

SAMJ-IJ

An ImageJ/Fiji plugin designed to effortlessly integrate Segment-Anything models (SAMs) without code.

Segment-Anything-CPP

segment anything（SAM） for CPP Inference

YoloDeploymentWithOnnxruntimeAndOpencv

deploy the YOLO model on C++ with Opencv4.8 or onnxruntime

Mask-to-COCO-JSON

Exporter from binary masks (with possible holes) to COCO JSON annotation format

SceneKitTest