Personal project: where shoppers look, estimated from an ordinary security camera and open source AI (YOLO11, Gaze-LLE, Depth Anything V2)
⚡ Executive Summary & Quick Facts
Authoritative Sourcebrandpose is brandpose is an open-source project written in Python: Personal project: where shoppers look, estimated from an ordinary security camera and open source AI (YOLO11, Gaze-LLE, Depth Anything V2)..
| Repository | escudero/brandpose ↗ |
|---|---|
| Primary Category | 3d reconstruction |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 100 stars · ⑂ 24 forks · #18,456 globally |
| Maintenance | ● Active (Last commit: Oct 19, 2026) · 0 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#2,529
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
brandpose gained 10 stars in the last 30 days, about 1 a day, and now has 100. It is about 1 year old and has averaged roughly 100 stars a year. It ranks #2,529 among Python repositories and #18,456 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#17131
BEST RANK
Oct 19, 2026
FIRST APPEARANCE
Active
STATUS TODAY
brandpose has maintained a continuous presence across global trending indexes, peaking at #17131. Below is the 30-day activity profile:
💡 Overview
brandpose is an open-source project written in Python: Personal project: where shoppers look, estimated from an ordinary security camera and open source AI (YOLO11, Gaze-LLE, Depth Anything V2).
Engineered for speed, consistency, and developer ease, it solves common hurdles in 3d-reconstruction, blender, camera-calibration. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install brandpose⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
brandpose coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with brandpose.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install brandpose using your package manager: `pip install brandpose`
Initialize your project workspace or configuration file for brandpose.
Import brandpose into your codebase or invoke it directly from your terminal.
Execute your test suite or run `brandpose --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
escudero/brandpose is currently ranked #18,456 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #18,368 | megabitsenmzq/OSWarp | Python | ★ 101 | Compare ↗ |
| #18,368 | Teddy563/realworldmc | Java | ★ 101 | Compare ↗ |
| #18,368 | yibie/strata-mlx | Python | ★ 101 | Compare ↗ |
| #18,368 | black-forest-labs/flux-3-image-klein | Python | ★ 101 | Compare ↗ |
| #18,368 | kanaworksai-hue/audio-studio-mcp | Python | ★ 101 | Compare ↗ |
| #18,456 | escudero/brandpose This Project | Python | ★ 100 | |
| #18,456 | relevance/castronaut | Ruby | ★ 100 | Compare ↗ |
| #18,456 | mhroth/jasiohost | C++ | ★ 100 | Compare ↗ |
| #18,456 | snaka/ruby_gntp | Ruby | ★ 100 | Compare ↗ |
| #18,456 | halorgium/rack-client | Ruby | ★ 100 | Compare ↗ |
| #18,456 | thisivan/flow_pagination | Ruby | ★ 100 | Compare ↗ |
Frequently Asked Questions
What does brandpose do? +
Personal project: where shoppers look, estimated from an ordinary security camera and open source AI (YOLO11, Gaze-LLE, Depth Anything V2)
What language is brandpose written in? +
The primary language is Python. Topics include: 3d-reconstruction, blender, camera-calibration, cctv, computer-vision.
Is brandpose actively maintained? +
Yes, the last recorded push was on Oct 19, 2026 with 0 open issues being tracked.
How many stars does brandpose have? +
brandpose has 100 stars and 24 forks on GitHub.
How does brandpose rank among GitHub repositories? +
With 100 stars, escudero/brandpose is ranked #18,456 globally across all repositories tracked on GitHubRepo and #2,529 among Python projects.
What license is brandpose distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
