A Simple Image Clustering Script using CLIP and Hierarchial Clustering

Multimon-ng pager message parser and viewer

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

[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

Code for "MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare", CoRL 2022.

[CVPR2024] Code for "SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation".

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO and designed for fine-tuning.

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

This revolutionary software enables EV battery packs to be easily reused for stationary storage in combination with solar inverters

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0

HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical Assistance

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

A datepicker for twitter bootstrap (@twbs)

📊 Interactive JavaScript Charts built on SVG

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

[ICCV ADFM'25] ADer is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popular AD datasets and approaches.

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

Simple PDF generation for Python

Efficient vision foundation models for high-resolution generation and perception.

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.

[CVPR 2024] PyTorch implementation of GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence

[CVPR 2022] Pytorch implementation of "Templates for 3D Object Pose Estimation Revisited: Generalization to New objects and Robustness to Occlusions" paper

📕 Python library and CSS theme to generate PDF reports from HTML/Pug

The original sources of MS-DOS 1.25, 2.0, and 4.0 for reference purposes

Tutorial on fine tuning DeepLabv3 segmentation network for your own segmentation task in PyTorch.