Machine Vision

Machine Learning utilities to make your Project Development Life easier

Waffle Utils 🥛

Project Vi

AIdoop web-based platfrom library for robot application platform, AIdoop-R

Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.

Easy to use class-balanced cross-entropy and focal loss implementation for Pytorch.

Packaged version of the Sort repository

[DEPRECATED] Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

Image dataset analyzer using image embedding models and clustering methods.

A library for dataset generation and knowledge extraction from foundation computer vision models.

BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

PythonAIBrain is a versatile, plug-and-play Python package designed to help you build offline intelligent AI assistants and applications effortlessly. With modules covering speech recognition, text-to-speech, image generation, natural language understanding, and more, PythonAIBrain lets you create powerful AI solutions without deep expertise or complex setup. Whether you’re a beginner or an experienced developer, get ready to bring your AI ideas to life quickly and efficiently.

Packaged version of the Yolov5 object detector

Python package for the EXE3002 - Classifiers and Machine Vision written assignment

Visym Collector

A comprehensive training service library for AI models in the Nedo Vision platform

Hệ thống trích xuất bảng, hàng, cột hoàn chỉnh với AI và GPU support

Nedo Vision Worker Service Library for AI Vision Processing

Image augmentation library for deep neural networks

A comprehensive hand tracking and gesture recognition framework

Ultralytics YOLO for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.

New Version of MLOps Platforms.

Packaged version of the BSRGAN repository

Deploy inference models served for Artificial Intelligence solutions including but not limited to Pixano.

quinine is a library for configuring machine learning projects.

Automatically create Gradio apps from YOLOv5 models and push to the Space.

Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. FLSim is domain-agnostic and accommodates many use cases such as vision and text.

Convert Roboflow datasets into HuggingFace datasets format and upload to HuggingFace Hub.

A Python package designed for capturing images from multiple cameras simultaneously. MCCP simplifies the process of data collection for machine learning models and setting up computer vision applications.

A Python toolbox for easy interaction with various LLMs and Vision models

Your YOLO Deployment Powerhouse. With the synergy of TensorRT Plugins, CUDA Kernels, and CUDA Graphs, experience lightning-fast inference speeds.

PyTorch datasets with pre-computed model logits for efficient research

A Python toolbox for easy interaction with various LLMs and Vision models

Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.

Autocare Tx Model

[DEPRECATED] Easy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint

ModeYOLO is a versatile Python package designed for efficient color space transformations and simplified dataset modification for deep learning applications. Seamlessly integrating into your workflow, this package empowers users to effortlessly perform diverse color operations and streamline the creation of modified datasets, enhancing the flexibility and convenience of machine learning model training processes.

Packaged version of the Yolov5 object detector

PyTorch implementation of YOLOv5, YOLOv6, YOLOv7, YOLOv8

SDK API to assess image Machine Learning models.

Wrapper for the incoming yolov9

Packaged version of the Yolov5 object detector

A powerful NSFW content detection library using EVA-based vision transformer

Command-line tool for extracting DINO, CLIP and SigLIP features from images and videos

accessory library to augment the image processing library imagepypelines

Nedo Vision Worker Core Library for AI Vision Processing

A library for ML model development with PyTorch

Video streaming inference framework, integrating image algorithms and models for real-time/offline video structuring

Fast, flexible, and advanced augmentation library for deep learning, computer vision, and medical imaging. Algorave offers a wide range of transformations for both 2D (images, masks, bboxes, keypoints) and 3D (volumes, volumetric masks, keypoints) data, with optimized performance and seamless integration into ML workflows.

Open, Clean Datasets for Computer Vision.