Open Model Zoo

Open Model Zoo este o colecție curatoriată de modele de deep learning pre-antrenate și optimizate, concepute pentru inferență de înaltă performanță folosind OpenVINO. Acesta servește drept depozit de modele și framework de implementare care eficientizează integrarea rețelelor neuronale în mediile de producție.

Proiectul utilizează un manifest centralizat și un registru versionat pentru a automatiza descărcarea și organizarea ponderilor modelelor și a metadatelor. Include instrumente pentru benchmarking-ul performanței inferenței și validarea acurateței modelelor prin compararea output-urilor cu tensorii ground-truth pentru a cuantifica pierderea de precizie.

Ecosistemul oferă implementări de referință și o arhitectură demo modulară pentru a decupla motoarele de inferență de logica aplicației. Aceste instrumente suportă implementarea sarcinilor de viziune computerizată prin wrappere standardizate care abstractizează cerințele de preprocesare și postprocesare.

Features

Deep Learning Models - Serves as a comprehensive library of pre-trained neural networks across various domains for immediate deployment.
Pre-trained Model Zoos - Offers a curated collection of optimized deep learning models and demos designed for high-performance inference.
Model Deployment - Facilitates the deployment of high-quality pre-trained models into production environments for efficient inference.
Model Registries - Maintains a versioned catalog of pre-optimized weights tailored for specific hardware acceleration targets.
Model Asset Managers - Provides automated systems for downloading, verifying, and maintaining libraries of model weights and metadata.
Model Deployment Frameworks - Provides a framework for automatically downloading and organizing model assets to streamline production integration.
Model Weight Management - Provides utilities for downloading and organizing pre-trained model weights and metadata via a centralized manifest.
Model Downloaders - Ships a dedicated tool for fetching and organizing pre-trained model assets from remote sources.
Inference Benchmarking Tools - Provides tools to validate the accuracy and measure the processing speed of deployed models.
Accuracy Validation Utilities - Includes utilities for comparing model outputs to verify precision and quality against gold standards.
Computer Vision Model Integration - Integrates pre-trained visual recognition models into applications using reference implementations and sample notebooks.
Intermediate Representations - Translates diverse deep learning framework formats into a unified intermediate representation for hardware-independent execution.
Reference Implementations - Provides standardized wrapper code as reference implementations to abstract model-specific preprocessing and postprocessing logic.
Inference Precision Validators - Implements precision validation by comparing inference outputs against a fixed set of ground-truth tensors.
Action recognition - Listed in the “Action recognition” section of the Ailia Models awesome list.
Age gender estimation - Listed in the “Age gender estimation” section of the Ailia Models awesome list.
Deep fashion - Listed in the “Deep fashion” section of the Ailia Models awesome list.
Face detection - Listed in the “Face detection” section of the Ailia Models awesome list.
Road detection - Listed in the “Road detection” section of the Ailia Models awesome list.
Vehicle recognition - Listed in the “Vehicle recognition” section of the Ailia Models awesome list.

Istoric stele

openvinotoolkitopen_model_zoo

Name: openvinotoolkit/open_model_zoo
Author: openvinotoolkit

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4,408 stele1,405 fork-uriPythonApache-2.011 vizualizăridocs.openvino.ai/latest/model_zoo.html

Open Model Zoo

Features

Deep Learning Models - Serves as a comprehensive library of pre-trained neural networks across various domains for immediate deployment.
Pre-trained Model Zoos - Offers a curated collection of optimized deep learning models and demos designed for high-performance inference.
Model Deployment - Facilitates the deployment of high-quality pre-trained models into production environments for efficient inference.
Model Registries - Maintains a versioned catalog of pre-optimized weights tailored for specific hardware acceleration targets.
Model Asset Managers - Provides automated systems for downloading, verifying, and maintaining libraries of model weights and metadata.
Model Deployment Frameworks - Provides a framework for automatically downloading and organizing model assets to streamline production integration.
Model Weight Management - Provides utilities for downloading and organizing pre-trained model weights and metadata via a centralized manifest.
Model Downloaders - Ships a dedicated tool for fetching and organizing pre-trained model assets from remote sources.
Inference Benchmarking Tools - Provides tools to validate the accuracy and measure the processing speed of deployed models.
Accuracy Validation Utilities - Includes utilities for comparing model outputs to verify precision and quality against gold standards.
Computer Vision Model Integration - Integrates pre-trained visual recognition models into applications using reference implementations and sample notebooks.
Intermediate Representations - Translates diverse deep learning framework formats into a unified intermediate representation for hardware-independent execution.
Reference Implementations - Provides standardized wrapper code as reference implementations to abstract model-specific preprocessing and postprocessing logic.
Inference Precision Validators - Implements precision validation by comparing inference outputs against a fixed set of ground-truth tensors.
Action recognition - Listed in the “Action recognition” section of the Ailia Models awesome list.
Age gender estimation - Listed in the “Age gender estimation” section of the Ailia Models awesome list.
Deep fashion - Listed in the “Deep fashion” section of the Ailia Models awesome list.
Face detection - Listed in the “Face detection” section of the Ailia Models awesome list.
Road detection - Listed in the “Road detection” section of the Ailia Models awesome list.
Vehicle recognition - Listed in the “Vehicle recognition” section of the Ailia Models awesome list.

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Întrebări frecvente

Ce face openvinotoolkit/open_model_zoo?

Care sunt principalele funcționalități ale openvinotoolkit/open_model_zoo?

Principalele funcționalități ale openvinotoolkit/open_model_zoo sunt: Deep Learning Models, Pre-trained Model Zoos, Model Deployment, Model Registries, Model Asset Managers, Model Deployment Frameworks, Model Weight Management, Model Downloaders.

Care sunt câteva alternative open-source pentru openvinotoolkit/open_model_zoo?

Alternativele open-source pentru openvinotoolkit/open_model_zoo includ: tingsongyu/pytorch_tutorial — This project is a comprehensive collection of educational examples and reference implementations for building vision… meta-llama/llama-models — This project provides a foundational framework and reference implementation for executing causal language modeling and… facebookresearch/parlai — ParlAI is a conversational AI research framework designed for training, evaluating, and sharing dialogue models using… facebookresearch/fairseq — Fairseq is a PyTorch toolkit for sequence-to-sequence modeling, specializing in neural machine translation, automatic… jaymody/picogpt — picoGPT is a lightweight, low-level runtime environment and inference engine designed to load pre-trained checkpoints… paddlepaddle/paddlenlp — PaddleNLP is a development library and toolkit for training, fine-tuning, and deploying large and small language…

Open Model Zoo

Features

Istoric stele

Open Model Zoo

Features

Alternative open-source pentru Open Model Zoo

TingsongYu/PyTorch_Tutorial

meta-llama/llama-models

facebookresearch/ParlAI

facebookresearch/fairseq

Colecții curatoriate care includ Open Model Zoo

Întrebări frecvente

Istoric stele

Colecții curatoriate care includ Open Model Zoo

Întrebări frecvente

Alternative open-source pentru Open Model Zoo

TingsongYu/PyTorch_Tutorial

meta-llama/llama-models

facebookresearch/ParlAI

facebookresearch/fairseq