GraphCanon updated Sep 25, 2026 · GitHub synced Sep 25, 2026
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Decision brief
DoubleTake is a tool for geometry-guided depth estimation using multiview stereo techniques in Python with PyTorch framework, specifically designed for advanced computer vision tasks.
Good fit when
- When working on projects that require precise depth estimation guided by geometric principles within the context of multiview stereo datasets.
- For applications necessitating the integration of machine learning models in Python using the PyTorch framework.
Avoid when
- If your project does not involve geometry-guided techniques or if it specifically requires a different deep learning framework other than PyTorch.
- If you're looking for general image processing capabilities instead of advanced depth estimation functionalities.
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (503d since push)
- As of Sep 25, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 25, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install doubletakeSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A tool for geometry-guided depth estimation using multiview stereo techniques in Python with PyTorch framework.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Sep 25, 2026
Categories
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README
👩⚖️ License Copyright © Niantic, Inc. 2024. Patent Pending. All rights reserved. Please see the license file for terms.
For agents
This page has a .md twin and JSON over the API.