bvandeusen 7cdce0c474
CI / lint (push) Successful in 2s
CI / frontend-build (push) Successful in 17s
CI / backend-lint-and-test (push) Successful in 26s
CI / integration (push) Successful in 3m24s
feat(agent): temporal video dedup — drop near-duplicate frames before the GPU
Near-static videos are the dominant GPU load: sampled into up to 64 frames, each
re-runs the whole detect→CCIP→SigLIP chain on ~identical content. Add a CPU
perceptual-hash frame dedup upstream of the GPU so the redundant frames are never
processed at all (not just their embeds).

- media.dedupe_frames() + _dhash(): 8×8 difference-hash (64-bit) per frame; greedy
  keep — a frame survives only if its hash differs from every kept frame by
  >= min_distance bits (Hamming). A static run collapses to one frame; genuinely
  distinct scenes all survive. Order + frame_time preserved.
- Called in worker._download_decode right after sample_frames, so it runs in the
  decode stage on the downloader thread (CPU) — the GPU consumers only ever see
  deduped frames, and buffered video items shrink (less RAM too).
- Env-tunable FRAME_DEDUPE_DISTANCE (default 8; higher keeps more frames for brief
  localized changes an 8×8 hash can miss; 0 disables). Logs `video frames N→M`
  when it drops any, so video load reduction is visible.

Complements the spatial per-frame crop dedup (2026-07-01.2); this is the temporal
axis. Build marker 2026-07-01.3.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa
2026-07-01 00:35:03 -04:00

FabledCurator

Self-hosted media curation — gallery, ML tagging, and subscription-driven downloading in one app. Part of the FabledSword family.

Combines what was ImageRepo (gallery, ML, importer) and GallerySubscriber (gallery-dl wrapper, subscriptions, credential capture) into a single product.

Status

Pre-v1. Not yet functional.

Quick start

For local development and testing, just:

docker compose up -d
# UI: http://localhost:8080

That uses sane dev defaults baked into docker-compose.yml and the dev override (docker-compose.override.yml, auto-merged) — local builds, DEBUG logging, exposed Postgres + Redis ports on the host. No .env required.

For a production-like deployment, override the dev defaults via shell env or a .env file (see .env.example for the variable names) and use:

docker compose -f docker-compose.yml up -d
# (skips the override so containers pull registry images)

Deployment posture

FabledCurator is designed to run inside a self-hosted homelab environment over plain HTTP. If you want TLS, terminate it at your reverse proxy. The app does not generate certificates, redirect to HTTPS, or set HSTS.

CI / Forgejo setup

The repo's workflows expect:

  • Runner label python-ci — a Forgejo runner with Python 3.14, ruff, and Node 22 pre-installed. Both ci.yml and build.yml use this label. The runner image (runner-base:python-ci) is built from CI-Runner/CI-python/ in the operator's workspace; make push from that directory builds and pushes a new image when toolchain pins change.

  • Repo secret RELEASE_TOKEN — a Forgejo PAT with the following scopes:

    • write:package + read:package — for docker push to git.fabledsword.com
    • write:release — for future release-cutting workflows
    • write:issue — for future issue-management automation

    Generate at https://git.fabledsword.com/user/settings/applications. The injected GITHUB_TOKEN cannot be used because it lacks write:package.

License

Personal project; use at your own discretion.

S
Description
Self-hosted media curation — gallery, ML tagging, and subscription-driven downloads. Part of the FabledSword family. (Merge of ImageRepo + GallerySubscriber.)
Readme 16 MiB
v26.06.04.0 Latest
2026-06-04 23:21:01 -04:00
Languages
Python 74.4%
Vue 17.9%
JavaScript 7.2%
CSS 0.2%
HTML 0.1%