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MapStacker

行星/月面影像疊合工具 — 免安裝 Python,下載對應平台的壓縮檔,解壓後即可執行。 支援 Windows、macOS、Linux。

Lunar & planetary image stacking tool for lucky imaging. Runs natively on Windows, macOS and Linux, with an English / Traditional Chinese UI. No Python required: download the archive for your platform, unzip, and run. Its workflow will feel familiar if you've used AutoStakkert or RegiStax.

Keywords: astrophotography · planetary imaging · lunar imaging · lucky imaging · SER stacking · Moon · Mars · Jupiter · Saturn · familiar to AutoStakkert / RegiStax users.


功能特色 / Features

  • 多對齊點局部對齊 / Multi-alignment-point (AP) local alignment — 以網格扭曲 修正大氣視寧度造成的局部形變,而非只做整體位移。 / Mesh-warp local registration that corrects seeing-induced local distortion, not just a global shift.
  • SER 影片直接讀取 / Reads SER capture files — 支援 FireCapture、SharpCap 等 常用擷取軟體輸出的 .ser 檔(含 debayer)。 / Opens .ser files from FireCapture, SharpCap and other capture tools (with debayering).
  • 自動品質排名與挑幀 / Automatic quality ranking & frame selection — 依銳利度 排名,取最佳的 top-% 疊合;可手動指定參考幀、手動排除壞幀。 / Ranks frames by sharpness and stacks the best top-%; manual reference-frame pick and manual frame rejection are also supported.
  • 彩色與單色 / Colour & mono — 支援 RGB 通道對齊與 drizzle。 / RGB channel alignment and drizzle upscaling.
  • 批次處理 / Batch processing — 一次處理多個 SER 檔。 / Process many SER files in one run.
  • 繁體中文 / English 介面 / Bilingual UI。

繁體中文

下載

請至 Releases 頁面下載最新版本:

平台 檔案
Windows (x64) MapStacker-windows-x64.zip
Linux (x64) MapStacker-linux-x64.zip
macOS (Apple Silicon) MapStacker-macos-arm64.zip

系統需求與注意事項

Windows

  • Windows 10 / 11 (64-bit)。
  • 解壓後執行資料夾內的 MapStacker.exe,不需另外安裝 Python。
  • 若提示缺少 VC++ 執行庫,請安裝 Microsoft Visual C++ Redistributable(近代 Windows 多半已內建)。

Linux

  • 需 glibc ≥ 2.31(Ubuntu 20.04+、Debian 11+ 或同等發行版)。
  • 解壓後執行資料夾內的 MapStacker。
  • 圖形介面使用 Qt xcb,在純文字環境或缺少 X11 的情況下無法啟動。

macOS

  • 僅提供 Apple Silicon (arm64) 版;Intel Mac 不支援。
  • 因 app 未簽章,首次開啟若被 Gatekeeper 阻擋,請右鍵 →「打開」,或到「系統設定 → 隱私權與安全性」放行。

多國語言

內建英文與繁體中文介面。

問題回報

發現問題或有需求?請至 Issues 頁面開票。回報時請附上作業 系統、應用程式版本(見「說明 → 關於 MapStacker」)以及重現步驟。


English

What is MapStacker?

MapStacker is a free desktop tool for lucky-imaging planetary and lunar astrophotography. Feed it a SER capture of the Moon, Mars, Jupiter or Saturn and it ranks the frames by sharpness, aligns the best ones with a multi-alignment-point mesh warp (correcting local seeing distortion), and stacks them into a sharp result you can then wavelet-sharpen elsewhere. The workflow will feel familiar if you've used AutoStakkert or RegiStax; what MapStacker adds is a single tool that runs natively on Windows, macOS and Linux with a bilingual (English / Traditional Chinese) UI.

Download

Get the latest build from the Releases page:

Platform File
Windows (x64) MapStacker-windows-x64.zip
Linux (x64) MapStacker-linux-x64.zip
macOS (Apple Silicon) MapStacker-macos-arm64.zip

Requirements & notes

Windows

  • Windows 10 / 11 (64-bit).
  • Unzip and run MapStacker.exe from the folder; no separate Python install needed.
  • If a missing VC++ runtime is reported, install the Microsoft Visual C++ Redistributable (usually already present on recent Windows).

Linux

  • Requires glibc ≥ 2.31 (Ubuntu 20.04+, Debian 11+, or equivalent).
  • Unzip and run MapStacker from the folder.
  • The GUI uses the Qt xcb platform plugin; it will not start in a headless or X11-less environment.

macOS

  • Apple Silicon (arm64) only; Intel Macs are not supported.
  • The app is unsigned. If Gatekeeper blocks the first launch, right-click → "Open", or allow it under System Settings → Privacy & Security.

Languages

English and Traditional Chinese UI are bundled.

Support

Found a bug or have a request? Open an issue on the Issues page. Please include your OS, the app version (shown under Help → About MapStacker), and the steps to reproduce.

About

Free lunar & planetary image stacker for lucky imaging (SER), running natively on Windows, macOS & Linux with an English / Traditional Chinese UI. Familiar workflow if you've used AutoStakkert or RegiStax. Downloads here; source maintained privately.

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