What is RobustVideoMatting?
RobustVideoMatting is a coding that Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!. It has a Nerq Trust Score of 56/100 (D). 9.2K GitHub stars. Published by Unknown. Last analyzed October 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ✅ Community: 9.2K stars, 0 downloads — Large community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What RobustVideoMatting Does
RobustVideoMatting is a tool in the coding category. Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!. It is published by an independent developer and has no specified license. With 9.2K GitHub stars and 0 downloads, it has a large and active community of users and contributors.
Who Should Use RobustVideoMatting
RobustVideoMatting is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | Unknown |
|---|---|
| Category | coding |
| License | Not specified |
| Type | tool |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=peterl1n-robustvideomatting
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
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|---|---|---|
| AutoGPT | 65 | 181.9K |
| ollama | 64 | 163.0K |
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| system-prompts-and-models-of-ai-tools | 64 | 115.3K |
| opencode | 78 | 108.1K |
Frequently Asked Questions
Last updated October 2026. Trust scores based on automated analysis of public data.