v0.13.2
5
Commits
| Author | SHA1 | Message | Date | |
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  dtourolleandClaude Opus 5
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24bf5be574 |
Compile our own Java into the APK, so the classes Android constructs can exist
The APK's only dex was Slint's. `assemble-apk.sh` found `classes.dex` under the android-activity backend's build directory and copied it in, and there was no `javac` step and no `d8` of anything of ours — package.sh's header said so outright, on the reasoning that the app has no Java because android-activity calls `android_main` directly. That reasoning holds for everything the app *calls* and fails for everything Android *constructs*. A `ContentProvider` is instantiated by the system from its manifest entry; nothing in the process ever reaches its constructor, so there is no JNI route to writing one in Rust. The launch `Intent` is the same shape of problem from the other end: it arrives through `Activity.getIntent()`, and the activity android-activity hands out is a stock `NativeActivity` rather than a subclass with room for code. FR-PLAT-AND-6 needs both, and FR-PLAT-AND-4 needs a foreground `Service`, which is a third. So: everything under `apps/darkroom-android/android/java/` goes through javac against `android.jar`, and d8 merges the classes with Slint's finished dex into one `classes.dex`. Merging rather than emitting a second dex keeps the staging and zip steps as they are — multidex is native at API 28, but two files to keep in step buys nothing at this size. The step is skipped when the tree holds no Java, which is the state this commit leaves it in. Nothing about the APK changes until a `.java` file appears. `-source 8 -target 8 -bootclasspath android.jar` is not caution about language features. It is the last combination in which javac allows the boot class path to be replaced: from `-target 9` the flag is rejected, the platform classes come from the JDK instead of from android.jar, and the build stays green while the device raises `NoClassDefFoundError` for a class Android never shipped. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> |
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dtourolleandClaude Opus 5
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2d95807542 |
Package the models on every platform, not just the phone
The Android bundling landed the weights under that platform's asset directory, which was the wrong home the moment a second packager wanted them. `makepkg -si` produced a desktop install with no model at all — the same "no face model is installed" the phone used to show, for the same reason: nothing put the files anywhere the app looks. So `models/face/` at the root is the one copy, and both packagers read it: assemble-apk.sh bundles it as APK assets, and the PKGBUILD installs it to /usr/share/darkroom/models. Both refuse an LFS pointer rather than shipping a 130-byte file that fails inside the graph loader on a user's machine. `face_models` now searches three places, most specific first: the account's own directory, the shared user directory, then $XDG_DATA_DIRS. So a packaged pair is found automatically and a pair the user placed by hand still outranks it — which is what keeps a deliberate choice of weights from being overridden by an upgrade. $XDG_DATA_DIRS rather than a hard-coded /usr/share: that is the variable a distribution, a prefix install or a Nix-style store already sets to say where its data went, and its documented default is exactly the two paths that would otherwise have been hard-coded. Empty on Android, which has no such directories — there the APK's copy is unpacked into the shared user directory instead, because an asset inside a package is not a path anything can read from. Verified: the APK still carries both models at assets/models/, the PKGBUILD parses and installs from the new path, 467 tests pass. Includes the pkgver 0.6.0 → 0.7.0 bump that was already sitting uncommitted in the working tree. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> |
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dtourolleandClaude Opus 5
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eaafacc3fb |
Give the phone the model it had no way to obtain
Face indexing was compiled into the APK all along — dr-ui takes dr-face with `inference` on every target, so SCRFD, alignment, MBF, calibration and clustering were all in there. What was missing was the weights, and on Android there was no way to supply them. Route C (docs/faces.md §2.2) says the user obtains the model and the app loads it. On a desktop that is a real gesture: drop two files in ~/.local/share/darkroom/models/ and indexing starts working. On Android it is not a gesture at all. `internal_data_path` is app-private, `run-as` needs a debuggable build, and the in-app fetch route C specifies was never built — so the settings page reported "no face model is installed" on every launch with nothing behind the message. Not "off until you supply weights"; off. So the shape-fixed pair goes into LFS under the APK's assets, assemble-apk.sh copies it into the package, and `android_main` unpacks it to the shared models directory before anything asks whether a model is present. Three things that are not incidental: The models directory is now shared across accounts rather than per-account. Weights are identified by `faces.model_id`, not by who is signed in, so two accounts had no reason to hold two copies — and the unpack runs before any session exists to key a per-account path off. `face_models` still prefers a per-account directory when one is populated, so anyone mid-migration keeps the ability to pin one library to its own pair. The unpack writes under a temporary name and renames. `face_models` decides availability on `is_file()` alone, so a copy truncated by the process being killed would leave a file that passes that test and fails inside tract — reported to the user as a broken model rather than a missing one. assemble-apk.sh refuses an LFS pointer. At ~130 bytes it looks exactly like a model to `cp`, and unchecked it reaches the device and fails in the graph loader instead of telling someone to run `git lfs pull` — the same guard dr-segment's build script applies to yolo26n-seg.onnx. The licensing half is unchanged and recorded in §2.2a: the InsightFace grant is research-only, this is a private repository and a self-installed build, and these files come back out before anything is published. The weights are still not a cargo build input — dr-face has no `models/` directory and no `embedded-model` feature, and nothing in the build reads them. The APK assembly step copies two files and is the only thing in the tree that knows they exist. Verified on device: both models unpack on first launch (2524817 and 13616095 bytes) and the APK carries them at assets/models/. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> |
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dtourolleandClaude Opus 5
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b044a8c067 |
Build the Android CI image in CI, not on a laptop
The Android job ran in gitea.tourolle.paris/dtourolle/darkroom-android:latest, a tag that had never been pushed. The image existed only as a local darkroom-android:latest on one machine, so every Android job died at docker pull with "manifest unknown" before reaching a step. The registry API confirms it: that manifest is a 404 while the other builder images answer 200. android-image.yml now builds and pushes it, following KPN's docker.yaml — host runner rather than a container, so it has the Docker daemon and the host's cached registry credentials, and a plain-git checkout because that host has no Node for actions/checkout. Where it diverges from KPN: that workflow gates on dorny/paths-filter running inside the builder image, which here would need the very image that is missing. The tag is the git tree hash of docker/android instead, which changes when and only when a file there changes. An unrelated push reuses the image, a Dockerfile edit cannot keep serving a stale latest, and a missing tag rebuilds itself without a manual step. The presence probe is curl against the registry API, not `docker manifest inspect`. The latter exits 1 on this registry even for tags that are plainly there — jellytau-builder:latest answers HTTP 200 while docker reports "manifest unknown" for it — and trusting it would have rebuilt 7 GB on every push. The HEAD request also yields Docker-Content-Digest, so latest is repointed only when the digests actually disagree, without pulling any layers. A probe that cannot authenticate falls through to building. Rebuilding when it was unnecessary costs minutes; skipping a build that was needed is the failure this commit exists to remove. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> |
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dtourolle
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82a5e21ec6 |
Initial workspace: GPU context, compute pass, adaptive Slint shell
Establishes the v0.1 foundations on both platforms: - dr-types: SourceRef (never a filesystem path — Android SAF has none), Format, Availability, Validator with ETag quote normalisation - dr-gpu: wgpu device, compute pass writing a storage texture, resize - dr-ui: Slint shell with FR-UI-1 adaptive layout, computed in Rust to avoid a binding loop - docker/android: pinned toolchain, verified producing API 28 ARM binaries Measured the cost of the temporary CPU readback path (dr-gpu bench): compute is 0.06-0.28ms across sizes while readback is 0.63-7.43ms, so readback is 90-96% of frame time and scales with area. Recorded in ARCH §6.1 — this is why spike S1 is the priority. Mitigations pending S1: reuse the staging buffer, apply at most one resize per frame, and cap render resolution at 2048 on the long edge. 10 tests passing; core crates cross-compile for aarch64-linux-android. |