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Model Zoo Overview Video

NVIDIA Docs Hub NVIDIA TAO TAO Toolkit Model Zoo Overview Video

Previous Overview

Next Computer Vision Model Zoo

© Copyright 2024, NVIDIA. Last updated on Mar 22, 2024.

Topics

TAO Toolkit
Introduction
Model Zoo
- Overview
  - Model Zoo Overview Video
  - Computer Vision Model Zoo
    
    Computer Vision Model Zoo
    
    Purpose-built models
    
    Performance Metrics
    
    General purpose computer vision models
    
    Computer Vision Feature Summary
- Computer Vision Model Zoo
Running TAO Toolkit in the Cloud
TAO Toolkit API
AutoML
- AutoML
CV Applications
MLOPS integration
Conversational AI (Deprecated)
Point Cloud Applications
- 3D Object Detection
  - PointPillars
    
    Preparing the Dataset
    
    Converting The Dataset
    
    Creating an Experiment Spec File
    
    Class Names
    
    Dataset
    
    Point Feature Encoding
    
    Data Augmentations
    
    Data Processing
    
    Model Architecture
    
    Voxel Feature extractor
    
    Scatter
    
    2D backbone
    
    Dense Head
    
    Post Processing
    
    Training Process
    
    Evaluation
    
    Inference
    
    Export
    
    Prune
    
    Training the Model
    
    Required Arguments
    
    Optional Arguments
    
    Evaluating the model
    
    Required Arguments
    
    Optional Arguments
    
    Running Inference on the PointPillars Model
    
    Required Arguments
    
    Optional Arguments
    
    Pruning and Retrain a PointPillars Model
    
    Required Arguments
    
    Optional Arguments
    
    Exporting the Model
    
    Required Arguments
    
    Optional Arguments
    
    Deploying the Model
    
    Using trtexec
Deploying to Inference SDKs
Deploying with TAO Deploy
Bring Your Own Model (BYOM)
- Bring Your Own Model (BYOM)
  - BYOM Converter
    
    Installing the TAO BYOM Converter for TF1 Classification and UNet
    
    Software Requirements
    
    Installing through pip
    
    Installing the TAO BYOM Converter for TF2 Classification
    
    Software Requirements
    
    Installing via pip
    
    Preparing the ONNX Model
    
    Running the TAO BYOM Converter
    
    Required Arguments
    
    Optional Arguments
    
    Examples of Converting Open-Source Models through TAO BYOM
    
    Supported ONNX nodes in TAO BYOM
  - BYOM Image Classification
    
    Preparing the Input Data Structure
    
    Creating an Experiment Spec File - Specification File for Classification
    
    Training the model
    
    Required Arguments
    
    Optional Arguments
    
    Input Requirement
    
    Sample Usage
    
    Model Parallelism
    
    Evaluating the Model
    
    Required Arguments
    
    Optional Arguments
    
    Running Inference on a Model
    
    Required arguments
    
    Optional arguments
    
    Pruning the Model
    
    Required Arguments
    
    Optional Arguments
    
    Using the Prune Command
    
    Re-training the Pruned Model
    
    Exporting the Model
    
    INT8 Mode Overview
    
    FP16/FP32 Model
    
    Exporting the BYOM Model
    
    Required Arguments
    
    Optional Arguments
    
    INT8 Export Mode Required Arguments
    
    INT8 Export Optional Arguments
    
    Exporting a Model
    
    Deploying to DeepStream
    
    Generating an Engine Using tao-converter
    
    Instructions for x86
    
    Instructions for Jetson
    
    Using the tao-converter
    
    Integrating the model with DeepStream
    
    Integrating a Classification Model
Data Services
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