Skip to main content

STO-WARP

Star Trek Online screenshot recognition + ML training, distributed as a standalone Python package.

What is this?

STO-WARP combines two tools in one package:

WARP (Weaponry & Armament Recognition Platform) — reads your in-game screenshots from the PC version of Star Trek Online and automatically fills in your SETS build. Detects equipment, traits, bridge officers, and ship information using computer vision and machine learning. Console screenshots (PlayStation, Xbox) are not supported.

WARP CORE — trainer interface built into WARP. Review and correct recognition results, confirm annotations, and contribute corrections to the community model so recognition improves for everyone.

Technology

  • WARP — recognition pipeline (OCR + layout detection + icon matching). Reads STO screenshots and emits structured slot/item results.
  • WARP CORE — Qt trainer UI for reviewing recognition output and fine-tuning the EfficientNet / MobileNetV3 models that drive WARP.

Install

The recommended way to install sto-warp is via our universal installation scripts, which will automatically configure an isolated environment using pipx.

Linux / macOS:

curl -sSL https://raw.githubusercontent.com/raman78/sto-warp/main/install.sh | bash

Windows (PowerShell):

Invoke-WebRequest -Uri "https://raw.githubusercontent.com/raman78/sto-warp/main/install.ps1" -OutFile "install.ps1"; .\install.ps1; Remove-Item "install.ps1"

On first launch sto-warp registers itself in your system menu — Start Menu on Windows, Launchpad / Spotlight on macOS, Activities / KRunner on Linux — so subsequent runs can be started by clicking the icon instead of opening a terminal.

For manual installation methods and more details, see INSTALLATION.md.

Data and models

On first run sto-warp downloads:

  • ML models (icon_classifier.pt, screen_classifier.pt) from the Hugging Face hub.
  • Cargo / ship / trait JSON from the community STOCD/SETS-Data repository.
  • Community knowledge (knowledge.json), admin icon equivalence map, and a seed tarball of confirmed crops.

A small setup splash blocks the launcher on the very first start until all of the above finish, so the application opens with a complete data set. On every later run the cache is refreshed silently in the background. Everything is cached under ~/.config/warp/ (or $XDG_CONFIG_HOME/warp/ when set). Nothing is committed to this repository. See docs/WARP_GUIDE.md for the user-facing walkthrough and docs/SYNC_ARCHITECTURE.md for the technical view.

License

GPL-3.0 — see LICENSE.

Project docs

  • INSTALLATION.md — install methods (pipx, native packages).
  • CHANGELOG.md — release notes.
  • PROJECT_CONTEXT.md — design context.
  • CLAUDE.md — repository rules for AI-assisted development.
  • docs/ — technical deep-dives (BOFF / trait detection, ML pipeline, …).

Metadata

Release files for sto-warp 1.0.23

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for sto-warp 1.0.23
File Size Uploaded
sto_warp-1.0.23.tar.gz 1.1 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for sto-warp 1.0.23
File Interpreter ABI Platform
sto_warp-1.0.23-py3-none-any.whl Python 3 none any Details

Total release size: 2.1 MB

Release files / sto_warp-1.0.23.tar.gz

Download URL sto_warp-1.0.23.tar.gz
Size 1.1 MB
Tags Source
SHA-256 checksum
How to use checksums
7e004521b6268838d2bec6fd4c733d9d99953f627d411e438455b2fc2ed9d879
BLAKE2b-256 checksum
How to use checksums
7518af4ac6f0b5d94887d02bc99dd23111075d88a9dbcf662f48c836e33682ee
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.12

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Jul 10, 2026.

Transparency log

Release files / sto_warp-1.0.23-py3-none-any.whl

Download URL sto_warp-1.0.23-py3-none-any.whl
Size 1.1 MB
Tags Python 3
SHA-256 checksum
How to use checksums
9e49f01f1204a811923c5c9dc0283dda9e96ac72c1107c4100ddded415714eb9
BLAKE2b-256 checksum
How to use checksums
360a58abc353c8a12e1b09396cf33ee29471c38d5ebbdb83272af4459372b24c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.12

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Jul 10, 2026.

Transparency log

Release history Release notifications | RSS feed

1.0.42

2 release files

1.0.41

2 release files

1.0.40

2 release files

1.0.39

2 release files

1.0.38

2 release files

1.0.33

2 release files

1.0.32

2 release files

1.0.31

2 release files

1.0.30

2 release files

1.0.29

2 release files

1.0.28

2 release files

1.0.27

2 release files

1.0.26

2 release files

1.0.25

2 release files

1.0.24

2 release files

This release

1.0.23 This release

2 release files

1.0.22

2 release files

1.0.21

2 release files

1.0.20

2 release files

1.0.19

2 release files

1.0.18

2 release files

1.0.17

2 release files

1.0.16

2 release files

1.0.12

2 release files

1.0.11

2 release files

1.0.10

2 release files

1.0.9

2 release files

1.0.8

2 release files

1.0.7

2 release files

1.0.6

2 release files

1.0.5

2 release files

1.0.4

2 release files

1.0.3

2 release files

1.0.2

2 release files

1.0.1

2 release files

1.0.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page