Add built-in on-device vision, language, and inference by shai-almog · Pull Request #5467 · codenameone/CodenameOne

shai-almog · 2026-07-25T11:31:39Z

Summary

add vendor-neutral built-in APIs for on-device vision, language, and LiteRT/Core ML inference
add Android ML Kit/LiteRT implementations, iOS Vision/NaturalLanguage/Core ML implementations, and Mac Catalyst Vision support
centralize granular class- and method-level source/dependency selection in PlatformFeatureCatalog, shared with BuildDaemon
retire the small ML Kit and TFLite cn1libs while retaining large-model libraries such as Whisper and Stable Diffusion
document API availability, build hints, migration, and platform limitations
add focused core/catalog/builder tests plus HelloCodenameOne and Port Status coverage without screenshot requirements

Validation

Java 8 core compile: 1,615 sources
focused core API tests: 9 passed
platform feature catalog tests: 20 passed
focused builder selection tests: 24 passed before rebasing; the only rebase conflict was in Port Status coverage
Port Status validator: 170 tests, 57 features, 11 ports, 303 golden names
Port Status conformance tests: 9 passed
HelloCodenameOne shared-source Java compile: 196 sources
Android adapters compiled against the official ML Kit and LiteRT dependencies
iOS all-feature device Xcode build passed
Mac Catalyst default Apple Vision build passed

Platform note

Google ML Kit's MLImage dependency currently contains a device-only slice, so an arm64 iOS Simulator build that explicitly selects the ML Kit vision backend cannot link. Device builds pass, and the default Apple Vision path does not pull that pod into simulator builds.

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github-actions · 2026-07-25T11:50:17Z

Cloudflare Preview

URL: https://pr-5467-website-preview.codenameone.pages.dev
Branch: pr-5467-website-preview

github-actions · 2026-07-25T11:59:13Z

Developer Guide build artifacts are available for download from this workflow run:

Developer Guide quality checks:

AsciiDoc linter: No issues found (report)
Vale: No alerts found (report)
Paragraph capitalization: No paragraph capitalization issues (report)
LanguageTool: No grammar matches (report)
Image references: No unused images detected (report)

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shai-almog · 2026-07-25T12:59:45Z

Compared 151 screenshots: 151 matched.

Native Android coverage

📊 Line coverage: 7.80% (7545/96762 lines covered) [HTML preview] (artifact android-coverage-report, jacocoAndroidReport/html/index.html)
- Other counters: instruction 7.68% (39363/512805), branch 2.78% (1351/48607), complexity 3.12% (1626/52146), method 4.82% (1328/27574), class 9.83% (361/3674)
- Lowest covered classes
  - kotlin.collections.kotlin.collections.ArraysKt___ArraysKt – 0.00% (0/6367 lines covered)
  - kotlin.collections.unsigned.kotlin.collections.unsigned.UArraysKt___UArraysKt – 0.00% (0/2384 lines covered)
  - org.jacoco.agent.rt.internal_0e20598.asm.org.jacoco.agent.rt.internal_0e20598.asm.ClassReader – 0.00% (0/1524 lines covered)
  - kotlin.collections.kotlin.collections.CollectionsKt___CollectionsKt – 0.00% (0/1187 lines covered)
  - org.jacoco.agent.rt.internal_0e20598.asm.org.jacoco.agent.rt.internal_0e20598.asm.MethodWriter – 0.00% (0/922 lines covered)
  - kotlin.sequences.kotlin.sequences.SequencesKt___SequencesKt – 0.00% (0/736 lines covered)
  - com.google.common.cache.com.google.common.cache.LocalCache$Segment – 0.00% (0/726 lines covered)
  - okio.okio.Buffer – 0.00% (0/687 lines covered)
  - kotlin.text.kotlin.text.StringsKt___StringsKt – 0.00% (0/625 lines covered)
  - org.jacoco.agent.rt.internal_0e20598.asm.org.jacoco.agent.rt.internal_0e20598.asm.Frame – 0.00% (0/570 lines covered)

✅ Native Android screenshot tests passed.

Native Android coverage

📊 Line coverage: 7.80% (7545/96762 lines covered) [HTML preview] (artifact android-coverage-report, jacocoAndroidReport/html/index.html)
- Other counters: instruction 7.68% (39363/512805), branch 2.78% (1351/48607), complexity 3.12% (1626/52146), method 4.82% (1328/27574), class 9.83% (361/3674)
- Lowest covered classes
  - kotlin.collections.kotlin.collections.ArraysKt___ArraysKt – 0.00% (0/6367 lines covered)
  - kotlin.collections.unsigned.kotlin.collections.unsigned.UArraysKt___UArraysKt – 0.00% (0/2384 lines covered)
  - org.jacoco.agent.rt.internal_0e20598.asm.org.jacoco.agent.rt.internal_0e20598.asm.ClassReader – 0.00% (0/1524 lines covered)
  - kotlin.collections.kotlin.collections.CollectionsKt___CollectionsKt – 0.00% (0/1187 lines covered)
  - org.jacoco.agent.rt.internal_0e20598.asm.org.jacoco.agent.rt.internal_0e20598.asm.MethodWriter – 0.00% (0/922 lines covered)
  - kotlin.sequences.kotlin.sequences.SequencesKt___SequencesKt – 0.00% (0/736 lines covered)
  - com.google.common.cache.com.google.common.cache.LocalCache$Segment – 0.00% (0/726 lines covered)
  - okio.okio.Buffer – 0.00% (0/687 lines covered)
  - kotlin.text.kotlin.text.StringsKt___StringsKt – 0.00% (0/625 lines covered)
  - org.jacoco.agent.rt.internal_0e20598.asm.org.jacoco.agent.rt.internal_0e20598.asm.Frame – 0.00% (0/570 lines covered)

Benchmark Results

Detailed Performance Metrics

Metric	Duration
SIMD kernel backend	scalar fallback (no native SIMD)
SIMD int-add (64K x300)	java 295ms / native 92ms = 3.2x speedup
SIMD float-mul (64K x300)	java 147ms / native 124ms = 1.1x speedup
SIMD kernel correctness	PASS (native result == scalar reference)
Base64 payload size	8192 bytes
Base64 benchmark iterations	6000
Base64 SIMD byte path	gated to scalar (CPU autovectorizes scalar; explicit SIMD not beneficial here)
Base64 CN1 encode	95.000 ms
Base64 CN1 decode	89.000 ms
Base64 native encode	353.000 ms
Base64 encode ratio (CN1/native)	0.269x (73.1% faster)
Base64 native decode	296.000 ms
Base64 decode ratio (CN1/native)	0.301x (69.9% faster)
Image encode benchmark status	skipped (SIMD unsupported)

shai-almog · 2026-07-25T13:08:34Z

Compared 144 screenshots: 144 matched.
✅ Native Apple TV (tvOS, Metal) screenshot tests passed.

shai-almog · 2026-07-25T13:08:45Z

Compared 146 screenshots: 146 matched.
Native Windows port (x64 / Intel-AMD): full hellocodenameone screenshot suite rendered offscreen with Direct2D/DirectWrite, plus the real benchmarks (base64 native/CN1/SIMD, image createMask/applyMask/modifyAlpha/PNG/JPEG, SSE2 SIMD kernels). Compared against the in-repo baseline in scripts/windows/screenshots.

Benchmark Results

Detailed Performance Metrics

Metric	Duration
SIMD kernel backend	SSE2 (x64) / NEON (arm64) native kernels
SIMD int-add (64K x300)	java 64ms / native 5ms = 12.8x speedup
SIMD float-mul (64K x300)	java 65ms / native 5ms = 13.0x speedup
SIMD kernel correctness	PASS (native result == scalar reference)
Base64 native bridge	unavailable (CN1 + SIMD + image benchmarks only)
Base64 payload size	8192 bytes
Base64 benchmark iterations	6000
Base64 SIMD byte path	gated to scalar (CPU autovectorizes scalar; explicit SIMD not beneficial here)
Base64 CN1 encode	196.000 ms
Base64 CN1 decode	125.000 ms
Base64 SIMD encode	102.000 ms
Base64 encode ratio (SIMD/CN1)	0.520x (48.0% faster)
Base64 SIMD decode	82.000 ms
Base64 decode ratio (SIMD/CN1)	0.656x (34.4% faster)
Image encode benchmark iterations	100
Image createMask (SIMD off)	28.000 ms
Image createMask (SIMD on)	143.000 ms
Image createMask ratio (SIMD on/off)	5.107x (410.7% slower)
Image applyMask (SIMD off)	69.000 ms
Image applyMask (SIMD on)	64.000 ms
Image applyMask ratio (SIMD on/off)	0.928x (7.2% faster)
Image modifyAlpha (SIMD off)	61.000 ms
Image modifyAlpha (SIMD on)	54.000 ms
Image modifyAlpha ratio (SIMD on/off)	0.885x (11.5% faster)
Image modifyAlpha removeColor (SIMD off)	42.000 ms
Image modifyAlpha removeColor (SIMD on)	31.000 ms
Image modifyAlpha removeColor ratio (SIMD on/off)	0.738x (26.2% faster)

shai-almog · 2026-07-25T13:18:55Z

Compared 146 screenshots: 146 matched.
Native Windows port, REAL shipping pipeline: the hellocodenameone screenshot suite rendered by a binary CROSS-COMPILED on Linux (clang-cl + xwin, WebView2 linked) and RUN on a Windows x64 runner. Compared against the in-repo baseline in scripts/windows/screenshots.

Benchmark Results

Detailed Performance Metrics

Metric	Duration
SIMD kernel backend	SSE2 (x64) / NEON (arm64) native kernels
SIMD int-add (64K x300)	java 64ms / native 4ms = 16.0x speedup
SIMD float-mul (64K x300)	java 63ms / native 4ms = 15.7x speedup
SIMD kernel correctness	PASS (native result == scalar reference)
Base64 native bridge	unavailable (CN1 + SIMD + image benchmarks only)
Base64 payload size	8192 bytes
Base64 benchmark iterations	6000
Base64 SIMD byte path	gated to scalar (CPU autovectorizes scalar; explicit SIMD not beneficial here)
Base64 CN1 encode	210.000 ms
Base64 CN1 decode	125.000 ms
Base64 SIMD encode	101.000 ms
Base64 encode ratio (SIMD/CN1)	0.481x (51.9% faster)
Base64 SIMD decode	83.000 ms
Base64 decode ratio (SIMD/CN1)	0.664x (33.6% faster)
Image encode benchmark iterations	100
Image createMask (SIMD off)	19.000 ms
Image createMask (SIMD on)	13.000 ms
Image createMask ratio (SIMD on/off)	0.684x (31.6% faster)
Image applyMask (SIMD off)	126.000 ms
Image applyMask (SIMD on)	30.000 ms
Image applyMask ratio (SIMD on/off)	0.238x (76.2% faster)
Image modifyAlpha (SIMD off)	28.000 ms
Image modifyAlpha (SIMD on)	24.000 ms
Image modifyAlpha ratio (SIMD on/off)	0.857x (14.3% faster)
Image modifyAlpha removeColor (SIMD off)	36.000 ms
Image modifyAlpha removeColor (SIMD on)	24.000 ms
Image modifyAlpha removeColor ratio (SIMD on/off)	0.667x (33.3% faster)

shai-almog · 2026-07-25T13:19:50Z

Compared 146 screenshots: 146 matched.
Native Windows port (arm64 / Apple Silicon - Arm): full hellocodenameone screenshot suite rendered offscreen with Direct2D/DirectWrite, plus the real benchmarks (base64 native/CN1/SIMD, image createMask/applyMask/modifyAlpha/PNG/JPEG, NEON SIMD kernels). Compared against the in-repo baseline in scripts/windows/screenshots.

Benchmark Results

Detailed Performance Metrics

Metric	Duration
SIMD kernel backend	SSE2 (x64) / NEON (arm64) native kernels
SIMD int-add (64K x300)	java 56ms / native 3ms = 18.6x speedup
SIMD float-mul (64K x300)	java 56ms / native 3ms = 18.6x speedup
SIMD kernel correctness	PASS (native result == scalar reference)
Base64 native bridge	unavailable (CN1 + SIMD + image benchmarks only)
Base64 payload size	8192 bytes
Base64 benchmark iterations	6000
Base64 SIMD byte path	gated to scalar (CPU autovectorizes scalar; explicit SIMD not beneficial here)
Base64 CN1 encode	247.000 ms
Base64 CN1 decode	127.000 ms
Base64 SIMD encode	65.000 ms
Base64 encode ratio (SIMD/CN1)	0.263x (73.7% faster)
Base64 SIMD decode	57.000 ms
Base64 decode ratio (SIMD/CN1)	0.449x (55.1% faster)
Image encode benchmark iterations	100
Image createMask (SIMD off)	10.000 ms
Image createMask (SIMD on)	7.000 ms
Image createMask ratio (SIMD on/off)	0.700x (30.0% faster)
Image applyMask (SIMD off)	23.000 ms
Image applyMask (SIMD on)	17.000 ms
Image applyMask ratio (SIMD on/off)	0.739x (26.1% faster)
Image modifyAlpha (SIMD off)	14.000 ms
Image modifyAlpha (SIMD on)	12.000 ms
Image modifyAlpha ratio (SIMD on/off)	0.857x (14.3% faster)
Image modifyAlpha removeColor (SIMD off)	17.000 ms
Image modifyAlpha removeColor (SIMD on)	11.000 ms
Image modifyAlpha removeColor ratio (SIMD on/off)	0.647x (35.3% faster)

shai-almog · 2026-07-25T13:22:18Z

Compared 181 screenshots: 181 matched.
✅ JavaScript-port screenshot tests passed.

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github-actions · 2026-07-25T13:50:34Z

✅ Continuous Quality Report

Test & Coverage

✅ Tests: 4567 total, 0 failed, 1 skipped
📊 Line coverage: 57.90% [HTML preview] [Download]
- Lowest covered classes
  - com.codename1.gaming.level.GameSceneView – 0.00%
  - com.codename1.crash.CrashProtection – 0.00%
  - com.codename1.payment.CommerceManager – 0.00%
  - com.codename1.crash.PiiScrubber – 0.00%
  - com.codename1.crash.CrashReportPayload – 0.00%
  - com.codename1.vr.VRView – 0.00%
  - com.codename1.appreview.RatingDialog – 0.00%
  - com.codename1.calendar.DefaultCalendarHttpTransport – 0.00%
  - com.codename1.security.Secrets – 0.00%
  - com.codename1.calendar.OidcCalendarTokenProvider – 0.00%

Static Analysis

SpotBugs [HTML preview] [Download]
- ✅ ByteCodeTranslator: 0 findings (no issues)
- ✅ android: 0 findings (no issues)
- ✅ codenameone-maven-plugin: 0 findings (no issues)
- ✅ core-unittests: 0 findings (no issues)
- ❌ ios: 1 findings (Normal: 1)
  - Top findings
    - Normal: com/codename1/impl/ios/IOSVisionImpl.java:279 – com.codename1.impl.ios.IOSVisionImpl.parseLandmarks(Object) makes inefficient use of keySet iterator instead of entrySet iterator (rule: WMI_WRONG_MAP_ITERATOR)
✅ PMD: 0 findings (no issues) [Report archive]
✅ Checkstyle: 0 findings (no issues) [Report archive]

Generated automatically by the PR CI workflow.

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shai-almog · 2026-07-27T10:28:12Z

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Reviewed commit: 2c5ecaa2e3

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shai-almog · 2026-07-27T10:36:51Z

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Reviewed commit: 49d8c084b4

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shai-almog · 2026-07-27T10:44:11Z

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Reviewed commit: 49d8c084b4

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Add built-in on-device AI support

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Comment thread CodenameOne/src/com/codename1/ai/vision/VisionOptions.java

Comment thread CodenameOne/src/com/codename1/ai/language/LanguageOptions.java

Reject NaN AI confidence thresholds

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shai-almog force-pushed the builtin-on-device-ai branch from a212b99 to 9af5456 Compare July 28, 2026 15:37

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shai-almog commented Jul 25, 2026

Summary

Validation

Platform note

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Cloudflare Preview

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Native Android coverage

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Benchmark Results

Detailed Performance Metrics

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Static Analysis

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