# amap-cvlab/ABot-Recon

> ABot-Recon is a streaming 3D reconstruction model that uses a fixed 12-frame local context per step, predicting a point map and adjacent relative pose, then composing them into a global trajectory and point cloud.

- Magnitude: 1.4 out of 10 — Steady
- Stars: 1,201 total · +14 stars measured 2026-10-05, 00:12–23:41 UTC
- Star trust: star growth looks organic
- Category: Science & research · Language: Python · License: Apache-2.0 · Created: 2026-08-27 · Last push: 2026-09-25
- GitHub: https://github.com/amap-cvlab/ABot-Recon · Homepage: https://amap-cvlab.github.io/ABot-Recon-html/ · Page: https://gitnova.dev/en/r/amap-cvlab/ABot-Recon

## Useful for

- Reconstruct camera trajectory and point cloud from a long video sequence
- Run GPU inference via the Python API or demo.py with the released checkpoint
- Refine trajectory on revisited scenes using optional loop closure

## Why it’s here

- Star-counter measurements on 2026-10-05 (UTC), 00:12–23:41: 1187 → 1201 stars (+14). This is the change over that interval.
- The repository is 39 days old and already has 1,201 stars.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 71
- Issues and pull requests: 9
- Watchers: 4
- Average over the last week: 16 per day
- Usual pace: 24 per day

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-10-04 … 2026-11-02: 12, 12, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None

## Magnitude by day, last 14 days

09-22 1.8, 09-23 1.9, 09-24 1.6, 09-25 1.5, 09-26 1.7, 09-27 1.8, 09-28 1.5, 09-29 1.4, 09-30 1.5, 10-01 1.5, 10-02 1.5, 10-03 1.6, 10-04 1.5, 10-05 1.5

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-05 23:47 UTC, updated every 30 minutes.