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lunarc3/cardputergpsmap

12PythonAudience · developerComplexity · 3/5Setup · moderate

TLDR

A hobby firmware and PC-side Python converter that puts an offline OpenStreetMap GPS map on the tiny M5Stack Cardputer device, no internet required, shows your position, pan and zoom, built around tight memory constraints.

Mindmap

mindmap
  root((cardputergpsmap))
    What it does
      Offline GPS map
      Pan and zoom
      No internet needed
    PC side
      Download OpenStreetMap
      Python tile converter
      Copy to SD card
    Device side
      Flash firmware
      Wait for GPS lock
      Map mode
    Constraints
      No PSRAM
      Optimized rendering
      SD card storage
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Things people build with this

USE CASE 1

Load a region's OpenStreetMap data onto an SD card and carry a pocket-sized offline GPS map that works without any internet connection.

USE CASE 2

Flash the CardputerGPSMap firmware onto an M5Stack Cardputer and navigate a hiking trail or rural area where phone signal is unreliable.

USE CASE 3

Convert a custom map area at different zoom levels using the Python tile converter to balance detail level against SD card storage space.

USE CASE 4

Use the project as a starting point for building other memory-constrained embedded applications on hardware with no PSRAM.

Tech stack

PythonC++OpenStreetMapM5Stack

Getting it running

Difficulty · moderate Time to first run · 1h+

Requires an M5Stack Cardputer ADV device, a GPS module, an SD card, and running the Python converter on a PC before flashing firmware.

No license information was mentioned in the explanation.

In plain English

CardputerGPSMap is a hobby project that puts an offline GPS map on the M5Stack Cardputer ADV, a small handheld device about the size of a business card with a tiny keyboard and screen. The project was built as a personal challenge, written almost entirely from scratch after the author ran into memory and performance problems with an earlier GPS display project. The device has no PSRAM, which is extra memory that would normally make this kind of map rendering practical. Working around that constraint is a recurring theme in the README, and the author spent considerable time optimizing how the map is drawn so the device stays responsive. The result is described as a doomsday offline map: it works without internet, and if you load the right map tiles, it will show your GPS position on an actual map of wherever you are. To use it, you need two things. First, on your computer: download a map file from OpenStreetMap, run it through a Python converter included in the project, and copy the output files to an SD card. Second, on the Cardputer: flash the provided firmware file. Once running, the device waits for GPS satellites, then switches to map mode where you can pan, zoom, and check your current position. The Python converter on the PC side handles turning OpenStreetMap data into the tile format the device expects. A standard version and a lightweight version are both included. The zoom level you choose when converting controls how much detail and storage space the map uses: a lower zoom level like z12 gives city-level detail and is described as sufficient for most casual use, while higher levels show individual streets but require more space and conversion time. The project notes this is a toy and not a replacement for proper navigation equipment in emergencies. It works best with the official LoRa hat for the Cardputer, but the core map and GPS features work without it.

Copy-paste prompts

Prompt 1
Walk me through converting an OpenStreetMap download to the CardputerGPSMap tile format using the Python converter, choosing zoom level z12 for city-level detail, and copying the output to an SD card.
Prompt 2
I want to flash CardputerGPSMap firmware onto my M5Stack Cardputer ADV. Show me the exact flashing steps and how to verify GPS lock is working after boot.
Prompt 3
How does CardputerGPSMap handle map rendering without PSRAM? Explain the memory optimization approach so I can apply the same techniques to a different embedded project.
Prompt 4
I need a larger map area on my Cardputer. Explain the tradeoff between zoom levels z12 and z15 in terms of storage size, conversion time, and visible detail.
Prompt 5
The GPS map is rendering slowly on my Cardputer. Based on the CardputerGPSMap optimization techniques, suggest what I should check first and how to profile the rendering loop.
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