gpx-player 0.2.0

Visualise & animate GPX race tracks.

gpx-player

GPX Race Visualizer

GPX Race Visualizer is a Python script to visualize the progression of multiple GPS tracks (e.g., from a race) on a 2D map. It takes as input one or more GPX files and creates an animation showing the movement of each track over time. This is a simple, open-source alternative to features like Strava's Flyby, which require an account and can have privacy issues.

Modes

The player supports two modes:

1. "Video" mode

Produce an MP4 or a GIF file showing how the situation developed. For sailing races, it also calculates the distance covered after the 'start' signal and the current speed.

Example:

2. Map mode

Displays the track on OpenSeaMap. You can see the full tracks with colour-coded speeds, and you can 'play' the tracks and see the markers move around the map. While playing, a legend shows each boat's distance travelled (in nautical miles), current speed (in knots), and average speed in knots.

Example:

Since GitHub Markdown doesn't allow embedding HTML, you can see an interactive example here.

Screenshot:

Installation

Install directly from PyPI using pip:

pip install gpx-player

Alternatively, clone the repository and install the required dependencies manually:

git clone https://github.com/kirienko/gpx-player.git
cd gpx-player
pip install -r requirements.txt

Usage

To run the script producing mp4, pass one or more GPX file paths as command-line arguments:

gpx-player example-data/track1.gpx example-data/track2.gpx

To get a sea map, run the module:

python -m gpx_player.openseamap --title 'Gin Sul Regatta 2024' --names Alex Yury Richard \
     --files example-data/osm-demo-Alex.gpx example-data/osm-demo-Richard.gpx \
             example-data/osm-demo-Yury.gpx

A more sophisticated example, that produced a video above:

gpx-player example-data/track1.gpx example-data/track2.gpx example-data/track3.gpx \
       --start 2023-07-01T10:53:00+0000 \
       --names "Mr. Pommeroy" "Miss Sophie" "Sir Toby²" \
       --title "Elbe-Damm Regatta (01.07.2023), Race 1" \
       --race_start 2023-07-01T10:58:00+0000 --marks example-data/marks.txt -g

Additional parameters:

• --title or -t: The title of the video
• --start or -s: start time in the format 2023-06-30T12:53:00+0200, all points before that will not be plotted
• --end or -e: end time in the format 2023-06-30T13:53:00+0200, all points after that will not be plotted
• --names or -n: names of the participants (otherwise the file names will be used in the legend)
• --race_start, -r: Race start time in the format YYYY-MM-DDTHH:MM:SS%z, e.g. 2023-07-01T12:29:00+0200
• --names or -n: Names of the participants
• --marksor-m: The file with the static marks to put onto the map. One pair of coordinates per line, see below.
• --gif or -g: Save as GIF moving picture instead of MP4
• --timezone or -tz: Local timezone to use for processing timestamps, e.g. America/Los_Angeles, see here (default: Europe/Berlin).

Marks

The script also supports visualizing predefined marks on the map, which can be useful for events like sailing regattas. The marks are defined as a list of (latitude, longitude) tuples in a separate text file and can be added to the script as follows:

53.542484632728, 9.801163896918299
53.542997846049374, 9.80611324310303
53.54823800356785, 9.812614917755129
53.54921647691311, 9.807373881340029
53.54508251196638, 9.80433225631714

Getting GPX Files

GPX files can be obtained from several GPS-tracking services:

• Strava: Go to the activity page and click on the wrench icon. Then select "Export GPX".
• Garmin Connect: Open the activity, go to the gear icon and select "Export to GPX".
• Endomondo: From the workout page, click the three-dot menu icon and select "Export". Then choose "GPX".

GPX Validation

For the gpx-player to work properly, it needs the correct GPX files. You can verify that you are inputting the correct file by using the special validator included in this package.

The validator.py script is a command-line utility and module for validating GPX files. It checks for XML schema conformance and timestamp consistency, supporting both strict and lenient modes. Errors are raised as GPXValidationError which can be caught in Python code. To run as a CLI tool, use:

gpx-validate path/to/yourfile.gpx --strict

Use as a Python module

from gpx_player.validator import validate_gpx, GPXValidationError

try:
    validate_gpx("path/to/yourfile.gpx", strict=True)
    print("GPX file is valid")
except GPXValidationError as e:
    print("GPX validation failed:", e)

The --strict parameter is optional. In most cases you do not need it, because files that strictly correspond to the GPX schema are rare. For example, almost all modern files contain coordinates, elevations and time stamps with more decimal places than originally planned.

Also, to better understand your GPX file, you can use the gpxinfo console command that comes with gpxpy. If you are already using the player, you have it:

$ gpxinfo example-data/osm_track1.gpx 
File: example-data/osm_track1.gpx
    Waypoints: 0
    Routes: 0
    Length 2D: 9.621km
    Length 3D: 9.648km
    Moving time: 01:05:22
    Stopped time: n/a
    Max speed: 3.12m/s = 11.22km/h
    Avg speed: 2.46m/s = 8.85km/h
    Total uphill: 97.20m
    Total downhill: 98.40m
    Started: 2024-07-24 15:59:05+00:00
    Ended: 2024-07-24 17:04:27+00:00
    Points: 776
    Avg distance between points: 12.40m

GPX Cleanup

For convenience, the repository provides clean_gpx.py. This utility first validates a GPX file using validator.py and then removes all <extensions> blocks using :func:remove_extensions_tags from gpx_utils. By default the cleaned file is saved alongside the original with _noext appended to its name. If the optional --overwrite flag is used, the original file is modified in place.

Run it from the command line as follows:

python -m gpx_player.clean_gpx path/to/yourfile.gpx [--overwrite]

If validation fails, the command exits with an error message. The output reports how many extension blocks were removed.

Support

Now you can buy me a coffee to encourage further development!