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NVIDIA TAO Toolkit v4.0

NVIDIA Docs Hub NVIDIA TAO NVIDIA TAO Toolkit v4.0 Semantic Segmentation

NVIDIA TAO Release tlt.40

Semantic Segmentation

UNET
SegFormer

© Copyright 2022, NVIDIA.. Last updated on Mar 23, 2023.

Topics

NVIDIA TAO Toolkit v4.0
Introduction
Model Zoo
Running TAO Toolkit in the Cloud
TAO Toolkit API
- Overview
- Setup
- Deployment
- REST API
- Remote Client
- API Reference
- Action Specs
  - classification
    
    evaluate
    
    export
    
    inference
    
    train
    
    convert
    
    prune
    
    retrain
  - detectnet_v2
    
    convert
    
    evaluate
    
    export
    
    inference
    
    prune
    
    train
    
    retrain
  - dssd
    
    evaluate
    
    inference
    
    train
    
    prune
    
    export
    
    retrain
    
    convert
  - efficientdet
    
    convert
    
    evaluate
    
    export
    
    inference
    
    prune
    
    train
    
    retrain
  - faster_rcnn
    
    export
    
    prune
    
    train
    
    inference
    
    convert
    
    evaluate
    
    retrain
  - semantic_segmentation
    
    convert
  - instance_segmentation
    
    convert
  - lprnet
    
    evaluate
    
    export
    
    inference
    
    train
    
    convert
  - mask_rcnn
    
    export
    
    inference
    
    prune
    
    train
    
    retrain
    
    convert
    
    evaluate
  - multitask_classification
    
    export
    
    train
    
    retrain
    
    prune
    
    evaluate
    
    convert
    
    inference
  - object_detection
    
    augment
    
    convert_efficientdet
    
    kmeans
    
    convert__kitti
    
    convert__coco
    
    convert_and_index__kitti
    
    convert_and_index__coco
  - retinanet
    
    evaluate
    
    export
    
    inference
    
    prune
    
    train
    
    retrain
    
    convert
  - spectro_gen
    
    dataset_convert
    
    export
    
    finetune
    
    infer
    
    infer_onnx
    
    train
  - speech
    
    pitch_stats
    
    convert
  - ssd
    
    evaluate
    
    inference
    
    train
    
    retrain
    
    prune
    
    export
    
    convert
  - unet
    
    export
    
    prune
    
    train
    
    convert
    
    retrain
    
    evaluate
    
    inference
  - vocoder
    
    export
    
    finetune
    
    infer
    
    infer_onnx
    
    train
    
    dataset_convert
  - yolo_v3
    
    convert
    
    evaluate
    
    export
    
    inference
    
    prune
    
    train
    
    retrain
  - yolo_v4
    
    convert
    
    evaluate
    
    export
    
    inference
    
    prune
    
    train
    
    retrain
  - yolo_v4_tinny
    
    train
    
    prune
    
    export
    
    convert
    
    evaluate
    
    inference
    
    retrain
AutoML
- AutoML
CV Applications
MLOPS integration
Conversational AI Applications
Point Cloud Applications
- 3D Object Detection
  - PointPillars
    
    Preparing the Dataset
    
    Converting The Dataset
    
    Creating an Experiment Spec File
    
    Class Names
    
    Dataset
    
    Model Architecture
    
    Training Process
    
    Evaluation
    
    Inference
    
    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 tao-converter
Deploying to Inference SDKs
Deploying with TAO Deploy
Bring Your Own Model (BYOM)
More Information

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