# escudero/brandpose

> A personal computer vision project that estimates where each shopper looks in a store using an ordinary fixed security camera and open-source models (YOLO11, Gaze-LLE, Depth Anything V2), producing an attention heatmap and report.

- Magnitude: 2.2 out of 10 — Cooling
- Stars: 99 total · +1 star measured 2026-10-19, 00:06–01:32 UTC, ≈ 13 by evening
- Star trust: star growth looks organic
- Category: AI agents · Language: Python · License: MIT · Created: 2026-10-15 · Last push: 2026-10-19
- GitHub: https://github.com/escudero/brandpose · Page: https://gitnova.dev/en/r/escudero/brandpose

## Useful for

- Estimate attention per store zone from an ordinary security camera video.
- Reproduce the pipeline to test gaze estimation on existing footage.
- Render a 3D point cloud from a single frame with Depth Anything V2.

## Why it’s here

- Star-counter measurements on 2026-10-19 (UTC), 00:06–01:32: 98 → 99 stars (+1). This is the change over that interval.
- Estimated end-of-day forecast: about +13 stars, using observed gains and the previous day.
- The repository is 4 days old and already has 99 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #190.
- About 7 forks a day — people are taking the code.

## 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: 23
- Issues and pull requests: 0
- Watchers: 0
- Average over the last week: 22 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 1
- Latest release: v1.0 (2026-10-15)

## Stars per day, last 5 days (oldest → newest, today is partial)

2026-10-15 … 2026-10-19: 6, 61, 18, 13, 1

## Spotted in now

- Top new repositories this week: #190

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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 2026-10-19 01:39 UTC, updated every 30 minutes.