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1337isnot1337/DOPPLERGEIST

音频定位

DOPPLERGEIST 是一款通过分析音频记录中飞机多普勒频移与历史飞行轨迹来推断录音地点的本地运行工具,提供命令行和浏览器上传界面,适用于研究或取证场景。

AI 中文解读 · 根据仓库描述与 README 生成 · 2026/11/3 19:37:05 · 查看原文

普通Python应用与服务
累计 Stars
56
当前热度
1 天内 · 小火
仓库创建时间
打开 GitHub ↗

选用指南

AI 根据 README 整理 · 2026/11/3 19:37:05

使用方式

通过命令行运行分析,或启动本地浏览器应用上传录音。

查看 README 依据
Use a new output directory for each experiment. Automatic CI checks installation, source compilation, CLI help and packaged assets without generated data. The [real-world data policy](AGENTS.md#real-world-data-only) supersedes older blanket pytest instructions. For pinned environments and historical clean-install evidence, see [Setup](docs/SETUP.md). Native Windows execution remains unverified. ### Analyze from the command line ```bash .venv/bin/dopplergeist analyze path/to/recording.mp3 --jobs jobs ```
Read `results/my-discovery/summary.json` and the diagnostics under `discovery/`. **These are acoustic event proposals, not coordinates or certified aircraft detections.** See [Audio discovery](docs/AUDIO_DISCOVERY.md) for settings, evidence and failure modes. ### Run the local upload application Start the browser application: ```bash .venv/bin/dopplergeist serve --jobs jobs --online --max-runtime 14400 --port 8765 ```
部署要求

需要 Python 3.11+、FFmpeg 和 Git,支持 Linux 和 macOS,原生 Windows 未验证。

查看 README 依据
Requires **Python 3.11+**, **FFmpeg** (`ffmpeg` and `ffprobe` on `PATH`) and Git. Install FFmpeg through your operating system's package manager, then run from a shell on Linux or macOS: ```bash git clone https://github.com/1337isnot1337/DOPPLERGEIST.git cd DOPPLERGEIST python -m venv .venv .venv/bin/python -m pip install . .venv/bin/dopplergeist --version ```
Use a new output directory for each experiment. Automatic CI checks installation, source compilation, CLI help and packaged assets without generated data. The [real-world data policy](AGENTS.md#real-world-data-only) supersedes older blanket pytest instructions. For pinned environments and historical clean-install evidence, see [Setup](docs/SETUP.md). Native Windows execution remains unverified. ### Analyze from the command line ```bash .venv/bin/dopplergeist analyze path/to/recording.mp3 --jobs jobs ```
已知限制

实验性软件,独立全国精度未建立;需要录音起始时间证据,否则无法进行地理搜索;数据下载可能需数小时和数十GB空间。

查看 README 依据
**Experimental software.** The local upload application and automatic audio-to-decision pipeline are available on `main`, alongside configured research replays. Independent nationwide accuracy on real recordings has not been established. [Current status](#current-status) · [Quickstart](#quickstart) · [How it works](#how-it-works) · [Results](#experimental-results) · [Documentation](#documentation-and-references) ## Current status | Area | Available now | Entry point or remaining work | | --- | --- | --- |
This scans the complete recording and saves an inspectable job. To permit historical search, add `--start-utc` and `--end-utc` for a defensible recording-start window, `--time-source` describing its evidence, and `--online` for public data acquisition. Missing clock evidence returns `needs_input`. Initial acquisition can take hours and tens of gigabytes; [the workflow guide](docs/PRODUCT.md) covers caching, runtime limits and resuming stopped jobs. ### Discover events in a recording
Open `http://127.0.0.1:8765` and upload a recording. Supply a defensible UTC window for the **first audio sample** to permit historical flight search. Without that time evidence, the application returns `needs_input / recording_time_required`. It does not estimate a location. The `--online` option can download aircraft and terrain data; archives and indexes can require tens of gigabytes or more and hours, and there is no automatic disk-space limit. See [Local upload workflow](docs/PRODUCT.md) for request fields, runtime limits and CLI alternatives. ## How it works

README

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收录信息

仓库创建时间
2026/11/3 07:54:01
首次达标收录
2026/11/3 19:32:18
统计更新时间
2026/11/3 20:31:55

按创建时长与累计 Stars 判断等级。首次达标收录后,即使未达当前门槛仍保留;累计 Stars 和仓库状态会定期更新。确认只有 README 及辅助文件的仓库会停止公开。

模型评估

普通加权总分 3.5 / 5

新颖度
3.7
实用价值
2.6
成熟度
4.0
实质含量
4.1

由 Jev 模型根据仓库描述与 README 评估,2026/11/3 19:32:18 生成。评分仅供参考,不是代码、安全或许可证审查;热度等级另按创建时长与累计 Stars 计算。

仓库信息

最近推送
2026/11/3 20:30:28
许可证标识
MIT
Fork 数
6
当前状态
未归档

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