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- Tao Train OcdnetOCDNet for scene text detection. Detects arbitrary-oriented text regions in natural images using aVotes: 0GitHub stars: 36
- Tao Train Nvpanoptix3dNVPanoptix3D for panoptic 3D scene reconstruction from posed RGB images. Produces 3D panoptic segmentationVotes: 0GitHub stars: 36
- Tao Train Nvdinov2NVDINOv2 for self-supervised visual representation learning. Trains vision transformers via self-distillationVotes: 0GitHub stars: 36
- Tao Train Metric Learning RecognitionMetric-learning recognition (ml-recog) for fine-grained visual recognition. Learns embeddings forVotes: 0GitHub stars: 36
- Tao Train Mask2formerMask2Former for universal image segmentation (panoptic, instance, and semantic). Transformer-based withVotes: 0GitHub stars: 36
- Tao Train Mask Grounding DinoMask Grounding DINO for grounded instance segmentation. Extends Grounding DINO with a mask-prediction head forVotes: 0GitHub stars: 36
- Tao Train Mask Auto LabelMAL (Mask Auto-Label) for weakly-supervised segmentation. Produces segmentation masks from minimal annotationsVotes: 0GitHub stars: 36
- Tao Train Mask Auto EncoderMasked Auto-Encoder (MAE) for self-supervised pretraining and fine-tuning. Masks random patches and reconstructsVotes: 0GitHub stars: 36
- Tao Train Image ClassificationPyTorch-based TAO image classification. Supports a wide range of backbones (FAN, EfficientNet, ResNet, etc.)Votes: 0GitHub stars: 36
- Tao Train Grounding DinoGrounding DINO for open-set object detection. Combines DINO-style detection with a BERT text encoder forVotes: 0GitHub stars: 36
- Tao Train Foundation StereoStereo depth estimation using FoundationStereo. Predicts disparity maps from stereo image pairs for 3DVotes: 0GitHub stars: 36
- Tao Train Fast Foundation StereoReal-time stereo depth estimation using FastFoundationStereo (FFS), the distilled bp2 commercial variant ofVotes: 0GitHub stars: 36
- Tao Train DinoDINO (DETR with Improved DeNoising Anchor Boxes) for 2D object detection. Transformer-based detector withVotes: 0GitHub stars: 36
- Tao Train Depth Anything V2Monocular depth estimation using Metric Depth Anything v2 or Relative Depth Anything architectures. PredictsVotes: 0GitHub stars: 36
- Tao Train Deformable DetrDeformable DETR for 2D object detection. Uses deformable attention for efficient multi-scale feature processing,Votes: 0GitHub stars: 36
- Tao Train CenterposeCenterPose for keypoint / pose estimation. Detects object centers and regresses keypoint locations for 6-DoFVotes: 0GitHub stars: 36
- Tao Train BevfusionBEVFusion for multi-sensor 3D object detection. Fuses LiDAR point clouds and camera images in bird's-eye-viewVotes: 0GitHub stars: 36
- Tao Train Action RecognitionAction recognition from video sequences. Supports RGB, optical flow, and joint (multi-stream) input types forVotes: 0GitHub stars: 36
- Tao Setup Nvidia Gpu HostHost setup for TAO GPU backends. Checks and, after user approval, installs NVIDIA driver branch 580, CUDA Toolkit 13.0, and NVIDIA Container Toolkit 1.19.0 for Docker/local-Docker and Kubernetes GPU worker hosts. The `--check-only` path works on any Linux distribution; `--install` automates debian-family (Ubuntu/Debian/Pop!_OS/Mint/Zorin/Raspbian), rhel-family (Fedora/RHEL/Rocky/AlmaLinux), and suse-family (openSUSE/SLES) hosts, and prints actionable manual-install steps for everything else. ...Votes: 0GitHub stars: 36
- Tao Run On Local DockerLocal or remote Docker execution for TAO SDK job containers using a Docker daemon with NVIDIA GPU runtime. UseVotes: 0GitHub stars: 36
- Tao Run On KubernetesKubernetes execution platform — submits TAO container jobs as single-pod k8s Jobs with NVIDIA GPU scheduling.Votes: 0GitHub stars: 36
- Tao Run AutomlRun AutoML / hyperparameter optimization (HPO) for NVIDIA TAO networks using AutoMLRunner. Handles algorithmVotes: 0GitHub stars: 36
- Tao Mine Aoi ImagesRuns the DEFT embed-then-mine workflow for VCN AOI iterations — embeds the gap-analysis target parquet, embeds a source pool, and mines nearest-neighbour source images for downstream augmentation. Use as the immediate next step after `tao-route-visual-changenet-samples` when expanding a real-image augmentation queue from the mining subset.Votes: 0GitHub stars: 36
- Tao Launch WorkflowShared launch intake for any TAO workflow or action. Use when the user wants to run TAO AutoML, train, evaluate, infer, export, generate TensorRT engines, or launch DEFT/workflow jobs on an execution platform.Votes: 0GitHub stars: 36