T

tao-train-ocdnet

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143,890,500installs
Updated Sep 2026

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Description

# OCDNet > **Standalone install?** If this session was not initialized by the TAO skill bank plugin, run the `tao-setup` skill first (host preflight, credentials, cross-skill discovery). OCDNet for scene text detection. Detects arbitrary-oriented text regions in natural images using a differentiable binarization approach. Set `model.pretrained_model_path` for pretrained weights. For TAO Deploy TensorRT actions (`gen_trt_engine`, TensorRT `evaluate`, and TensorRT `inference`), read `references/tao-deploy-ocd

Install tao-train-ocdnet

Run this in your OpenClaw agent to add tao-train-ocdnet from the ClawHub registry.

terminal
$openclaw skills install tao-train-ocdnet

Requires ClawHub registry access. Review the security analysis below before installing.

Security Analysis

危险50/100

Open Source

Code is publicly available for audit.

Community Verified

Reviewed by the ClawHub community.

Community Reviews

Real user ratings only — separate from the editorial assessment and ClawHub signal.

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Frequently asked questions

Is tao-train-ocdnet safe to install?

tao-train-ocdnet has a SkillsReview security score of 50/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.

How much does tao-train-ocdnet cost?

tao-train-ocdnet is free to install for OpenClaw via ClawHub.

What are the best alternatives to tao-train-ocdnet?

You can compare tao-train-ocdnet side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.

How do I install tao-train-ocdnet?

Install tao-train-ocdnet from ClawHub at clawhub.ai/skills/tao-train-ocdnet, or use the install action on this page to copy the command for your OpenClaw agent.

Community Signal

ClawHub Community Score6110.00 / 5.00
Installs143,890,500
Last UpdateSep 20, 2026
Actively maintained (0d ago)
ClawHub community score is a third-party marketplace signal. It is shown separately from SkillsReview editorial assessment and real user review averages.
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