diff --git a/CHANGELOG.md b/CHANGELOG.md index 105513bd..e9afeaaa 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -3,6 +3,107 @@ All notable changes to this project will be documented in this file. See [Conventional Commits](https://conventionalcommits.org) for commit guidelines. +## 2023-11-02 + +### Changes + +--- + +Packages with changes: + +- [`google_ml_kit` - `v0.16.3`](#google_ml_kit---v0163) +- [`google_mlkit_barcode_scanning` - `v0.10.0`](#google_mlkit_barcode_scanning---v0100) +- [`google_mlkit_commons` - `v0.6.0`](#google_mlkit_commons---v060) +- [`google_mlkit_digital_ink_recognition` - `v0.10.0`](#google_mlkit_digital_ink_recognition---v0100) +- [`google_mlkit_entity_extraction` - `v0.11.0`](#google_mlkit_entity_extraction---v0110) +- [`google_mlkit_face_detection` - `v0.9.0`](#google_mlkit_face_detection---v090) +- [`google_mlkit_face_mesh_detection` - `v0.0.2`](#google_mlkit_face_mesh_detection---v002) +- [`google_mlkit_image_labeling` - `v0.10.0`](#google_mlkit_image_labeling---v0100) +- [`google_mlkit_language_id` - `v0.9.0`](#google_mlkit_language_id---v090) +- [`google_mlkit_object_detection` - `v0.11.0`](#google_mlkit_object_detection---v0110) +- [`google_mlkit_pose_detection` - `v0.10.0`](#google_mlkit_pose_detection---v0100) +- [`google_mlkit_selfie_segmentation` - `v0.6.0`](#google_mlkit_selfie_segmentation---v060) +- [`google_mlkit_smart_reply` - `v0.9.0`](#google_mlkit_smart_reply---v090) +- [`google_mlkit_text_recognition` - `v0.11.0`](#google_mlkit_text_recognition---v0110) +- [`google_mlkit_translation` - `v0.9.0`](#google_mlkit_translation---v090) + +--- + +#### `google_ml_kit` - `v0.16.3` + +* Update dependencies. + +#### `google_mlkit_barcode_scanning` - `v0.10.0` + +* Fix: Update build.gradle, support AGP 8. +* Update README. + +#### `google_mlkit_commons` - `v0.6.0` + +* Fix: Update build.gradle, support AGP 8. +* Update README. +* Add rotation to Image in iOS. + +#### `google_mlkit_digital_ink_recognition` - `v0.10.0` + +* Fix: Update build.gradle, support AGP 8. +* Update README. + +#### `google_mlkit_entity_extraction` - `v0.11.0` + +* Fix: Update build.gradle, support AGP 8. +* Update README. + +#### `google_mlkit_face_detection` - `v0.9.0` + +* Fix: Update build.gradle, support AGP 8. +* Update README. + +#### `google_mlkit_face_mesh_detection` - `v0.0.2` + +* Fix: Update build.gradle, support AGP 8. +* Update README. + +#### `google_mlkit_image_labeling` - `v0.10.0` + +* Fix: Update build.gradle, support AGP 8. +* Update README. + +#### `google_mlkit_language_id` - `v0.9.0` + +* Fix: Update build.gradle, support AGP 8. +* Update README. + +#### `google_mlkit_object_detection` - `v0.11.0` + +* Fix: Update build.gradle, support AGP 8. +* Update README. + +#### `google_mlkit_pose_detection` - `v0.10.0` + +* Fix: Update build.gradle, support AGP 8. +* Update README. + +#### `google_mlkit_selfie_segmentation` - `v0.6.0` + +* Fix: Update build.gradle, support AGP 8. +* Update README. + +#### `google_mlkit_smart_reply` - `v0.9.0` + +* Fix: Update build.gradle, support AGP 8. +* Update README. + +#### `google_mlkit_text_recognition` - `v0.11.0` + +* Fix: Update build.gradle, support AGP 8. +* Update README. + +#### `google_mlkit_translation` - `v0.9.0` + +* Fix: Update build.gradle, support AGP 8. +* Update README. + ## 2023-08-04 ### Changes diff --git a/packages/example/ios/Podfile.lock b/packages/example/ios/Podfile.lock index 28d918dd..e4279e9d 100644 --- a/packages/example/ios/Podfile.lock +++ b/packages/example/ios/Podfile.lock @@ -2,60 +2,60 @@ PODS: - camera_avfoundation (0.0.1): - Flutter - Flutter (1.0.0) - - google_mlkit_barcode_scanning (0.9.0): + - google_mlkit_barcode_scanning (0.10.0): - Flutter - google_mlkit_commons - GoogleMLKit/BarcodeScanning (~> 4.0.0) - - google_mlkit_commons (0.5.0): + - google_mlkit_commons (0.6.0): - Flutter - MLKitVision - - google_mlkit_digital_ink_recognition (0.9.0): + - google_mlkit_digital_ink_recognition (0.10.0): - Flutter - google_mlkit_commons - GoogleMLKit/DigitalInkRecognition (~> 4.0.0) - - google_mlkit_entity_extraction (0.10.0): + - google_mlkit_entity_extraction (0.11.0): - Flutter - google_mlkit_commons - GoogleMLKit/EntityExtraction (~> 4.0.0) - - google_mlkit_face_detection (0.8.0): + - google_mlkit_face_detection (0.9.0): - Flutter - google_mlkit_commons - GoogleMLKit/FaceDetection (~> 4.0.0) - - google_mlkit_face_mesh_detection (0.0.1): + - google_mlkit_face_mesh_detection (0.0.2): - Flutter - google_mlkit_commons - - google_mlkit_image_labeling (0.9.0): + - google_mlkit_image_labeling (0.10.0): - Flutter - google_mlkit_commons - GoogleMLKit/ImageLabeling (~> 4.0.0) - GoogleMLKit/ImageLabelingCustom (~> 4.0.0) - - google_mlkit_language_id (0.8.0): + - google_mlkit_language_id (0.9.0): - Flutter - google_mlkit_commons - GoogleMLKit/LanguageID (~> 4.0.0) - - google_mlkit_object_detection (0.10.0): + - google_mlkit_object_detection (0.11.0): - Flutter - google_mlkit_commons - GoogleMLKit/ObjectDetection (~> 4.0.0) - GoogleMLKit/ObjectDetectionCustom (~> 4.0.0) - - google_mlkit_pose_detection (0.9.0): + - google_mlkit_pose_detection (0.10.0): - Flutter - google_mlkit_commons - GoogleMLKit/PoseDetection (~> 4.0.0) - GoogleMLKit/PoseDetectionAccurate (~> 4.0.0) - - google_mlkit_selfie_segmentation (0.5.0): + - google_mlkit_selfie_segmentation (0.6.0): - Flutter - google_mlkit_commons - GoogleMLKit/SegmentationSelfie (~> 4.0.0) - - google_mlkit_smart_reply (0.8.0): + - google_mlkit_smart_reply (0.9.0): - Flutter - google_mlkit_commons - GoogleMLKit/SmartReply (~> 4.0.0) - - google_mlkit_text_recognition (0.10.0): + - google_mlkit_text_recognition (0.11.0): - Flutter - google_mlkit_commons - GoogleMLKit/TextRecognition (~> 4.0.0) - - google_mlkit_translation (0.8.0): + - google_mlkit_translation (0.9.0): - Flutter - google_mlkit_commons - GoogleMLKit/Translate (~> 4.0.0) @@ -297,7 +297,7 @@ DEPENDENCIES: - GoogleMLKit/TextRecognitionJapanese (~> 4.0.0) - GoogleMLKit/TextRecognitionKorean (~> 4.0.0) - image_picker_ios (from `.symlinks/plugins/image_picker_ios/ios`) - - path_provider_foundation (from `.symlinks/plugins/path_provider_foundation/darwin`) + - path_provider_foundation (from `.symlinks/plugins/path_provider_foundation/ios`) SPEC REPOS: trunk: @@ -378,25 +378,25 @@ EXTERNAL SOURCES: image_picker_ios: :path: ".symlinks/plugins/image_picker_ios/ios" path_provider_foundation: - :path: ".symlinks/plugins/path_provider_foundation/darwin" + :path: ".symlinks/plugins/path_provider_foundation/ios" SPEC CHECKSUMS: camera_avfoundation: 3125e8cd1a4387f6f31c6c63abb8a55892a9eeeb Flutter: f04841e97a9d0b0a8025694d0796dd46242b2854 - google_mlkit_barcode_scanning: 23a92d5055f73055680277b957a75444f3bc4e1c - google_mlkit_commons: 9765447bd869c5d4f750dbd01475c8c42fd47aec - google_mlkit_digital_ink_recognition: 662aab98e0ba66c80f07227b93ab5f68d2dc892b - google_mlkit_entity_extraction: b174cd751073aec04676330cd47e5d2155906562 - google_mlkit_face_detection: 4ecd6d0f91f85438c760c93a283d49a5ab2be2c3 - google_mlkit_face_mesh_detection: adc488ba0127e843dae378476bd10f235b24a94d - google_mlkit_image_labeling: ff3bc854cd859adb736c18706b1669419e40c974 - google_mlkit_language_id: b0813e975edf076a9f335e0c3d71aa8a4a712d24 - google_mlkit_object_detection: ffb20134d8d2455f40ce980109163c5db5e3e300 - google_mlkit_pose_detection: eff9b4d4218d7618e5e0d5dd476ca0030f707572 - google_mlkit_selfie_segmentation: 5c39f231db39459caa9e630a337402460e15ecb4 - google_mlkit_smart_reply: fc17c9597ab3762fe4f86844bb42d3bd270a4c42 - google_mlkit_text_recognition: 6e8ae87c6ff2f9f06bc60a8d4ac88756319ce9af - google_mlkit_translation: 0c665a72aecdb79aa5ed9324363169eff57db248 + google_mlkit_barcode_scanning: d42717e8a28a5523bcb0b8a285c7d19555021c68 + google_mlkit_commons: 860b0fac8ebe07d058a885664e42c499a64320c0 + google_mlkit_digital_ink_recognition: d389ce65a846a29ca6e5a67d0257284f54cc9788 + google_mlkit_entity_extraction: ce59dde3a8342e820121d9283f97e1fb16fd6f28 + google_mlkit_face_detection: 52f7e4c15a7c49b98940fa32af4c2b10fd8608fc + google_mlkit_face_mesh_detection: 8d536ecd0323efb7595445be86800bf37afb3e53 + google_mlkit_image_labeling: 6970a48a9c3d2a0eeba7865cec49e4eb8a1b57a9 + google_mlkit_language_id: f925908aa8c6ae0ae21a976260b526415877d0d7 + google_mlkit_object_detection: bd742a6a0f607e1ebdbaf01f4fe9fe869f2e7d00 + google_mlkit_pose_detection: 745f2fdd4a515aad8e0cd442a608b0723e3d4b6a + google_mlkit_selfie_segmentation: f61fb316cea34b8690b50b488dbfa016abc67049 + google_mlkit_smart_reply: 0fe807739da6a44a1a952998dcf5203cb1c96704 + google_mlkit_text_recognition: 9225b4bf1b176dd18b05c9594e5347834e793440 + google_mlkit_translation: 1588e74d9487e95990a2b8bac9f39773677c716c GoogleDataTransport: f0308f5905a745f94fb91fea9c6cbaf3831cb1bd GoogleMLKit: 2bd0dc6253c4d4f227aad460f69215a504b2980e GoogleToolboxForMac: 8bef7c7c5cf7291c687cf5354f39f9db6399ad34 diff --git a/packages/example/pubspec.lock b/packages/example/pubspec.lock index ac622864..3d1928b7 100644 --- a/packages/example/pubspec.lock +++ b/packages/example/pubspec.lock @@ -5,136 +5,119 @@ packages: dependency: transitive description: name: async - sha256: "947bfcf187f74dbc5e146c9eb9c0f10c9f8b30743e341481c1e2ed3ecc18c20c" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "2.11.0" + version: "2.9.0" boolean_selector: dependency: transitive description: name: boolean_selector - sha256: "6cfb5af12253eaf2b368f07bacc5a80d1301a071c73360d746b7f2e32d762c66" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "2.1.1" + version: "2.1.0" camera: dependency: "direct main" description: name: camera - sha256: ebebead3d5ec3d148249331d751d462d7e8c98102b8830a9b45ec96a2bd4333f - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "0.10.5+2" + version: "0.10.5+3" camera_android: dependency: transitive description: name: camera_android - sha256: f2d886ab431e468301eef451a897db8beb8e66a053bb556c3111d3337acc4c7b - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "0.10.8+5" + version: "0.10.8+6" camera_avfoundation: dependency: transitive description: name: camera_avfoundation - sha256: "1a416e452b30955b392f4efbf23291d3f2ba3660a85e1628859eb62d2a2bab26" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "0.9.13+2" + version: "0.9.13+3" camera_platform_interface: dependency: transitive description: name: camera_platform_interface - sha256: "60fa0bb62a4f3bf3a7c413e31e4cd01b69c779ccc8e4668904a24581b86c316b" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted version: "2.5.1" camera_web: dependency: transitive description: name: camera_web - sha256: "6eb7b7f439ec8e48c2738408c7461df6e89a9dc42c91b7fb1586eb62b69c4672" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "0.3.2" + version: "0.3.2+1" characters: dependency: transitive description: name: characters - sha256: "04a925763edad70e8443c99234dc3328f442e811f1d8fd1a72f1c8ad0f69a605" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "1.3.0" + version: "1.2.1" clock: dependency: transitive description: name: clock - sha256: cb6d7f03e1de671e34607e909a7213e31d7752be4fb66a86d29fe1eb14bfb5cf - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted version: "1.1.1" collection: dependency: transitive description: name: collection - sha256: "4a07be6cb69c84d677a6c3096fcf960cc3285a8330b4603e0d463d15d9bd934c" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "1.17.1" + version: "1.16.0" cross_file: dependency: transitive description: name: cross_file - sha256: "0b0036e8cccbfbe0555fd83c1d31a6f30b77a96b598b35a5d36dd41f718695e9" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted version: "0.3.3+4" fake_async: dependency: transitive description: name: fake_async - sha256: "511392330127add0b769b75a987850d136345d9227c6b94c96a04cf4a391bf78" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted version: "1.3.1" ffi: dependency: transitive description: name: ffi - sha256: ed5337a5660c506388a9f012be0288fb38b49020ce2b45fe1f8b8323fe429f99 - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted version: "2.0.2" file_selector_linux: dependency: transitive description: name: file_selector_linux - sha256: "770eb1ab057b5ae4326d1c24cc57710758b9a46026349d021d6311bd27580046" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted version: "0.9.2" file_selector_macos: dependency: transitive description: name: file_selector_macos - sha256: "4ada532862917bf16e3adb3891fe3a5917a58bae03293e497082203a80909412" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted version: "0.9.3+1" file_selector_platform_interface: dependency: transitive description: name: file_selector_platform_interface - sha256: "412705a646a0ae90f33f37acfae6a0f7cbc02222d6cd34e479421c3e74d3853c" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted version: "2.6.0" file_selector_windows: dependency: transitive description: name: file_selector_windows - sha256: "1372760c6b389842b77156203308940558a2817360154084368608413835fc26" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted version: "0.9.3" flutter: @@ -146,16 +129,14 @@ packages: dependency: "direct dev" description: name: flutter_lints - sha256: "2118df84ef0c3ca93f96123a616ae8540879991b8b57af2f81b76a7ada49b2a4" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted version: "2.0.2" flutter_plugin_android_lifecycle: dependency: transitive description: name: flutter_plugin_android_lifecycle - sha256: "950e77c2bbe1692bc0874fc7fb491b96a4dc340457f4ea1641443d0a6c1ea360" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted version: "2.0.15" flutter_test: @@ -174,305 +155,278 @@ packages: path: "../google_mlkit_barcode_scanning" relative: true source: path - version: "0.9.0" + version: "0.10.0" google_mlkit_commons: dependency: "direct main" description: name: google_mlkit_commons - sha256: "42173a8ba89f386486cc5b8249e84da4a4b861daa70498373627d985eb418689" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "0.5.0" + version: "0.6.0" google_mlkit_digital_ink_recognition: dependency: "direct main" description: path: "../google_mlkit_digital_ink_recognition" relative: true source: path - version: "0.9.0" + version: "0.10.0" google_mlkit_entity_extraction: dependency: "direct main" description: path: "../google_mlkit_entity_extraction" relative: true source: path - version: "0.10.0" + version: "0.11.0" google_mlkit_face_detection: dependency: "direct main" description: path: "../google_mlkit_face_detection" relative: true source: path - version: "0.8.0" + version: "0.9.0" google_mlkit_face_mesh_detection: dependency: "direct main" description: path: "../google_mlkit_face_mesh_detection" relative: true source: path - version: "0.0.1" + version: "0.0.2" google_mlkit_image_labeling: dependency: "direct main" description: path: "../google_mlkit_image_labeling" relative: true source: path - version: "0.9.0" + version: "0.10.0" google_mlkit_language_id: dependency: "direct main" description: path: "../google_mlkit_language_id" relative: true source: path - version: "0.8.0" + version: "0.9.0" google_mlkit_object_detection: dependency: "direct main" description: path: "../google_mlkit_object_detection" relative: true source: path - version: "0.10.0" + version: "0.11.0" google_mlkit_pose_detection: dependency: "direct main" description: path: "../google_mlkit_pose_detection" relative: true source: path - version: "0.9.0" + version: "0.10.0" google_mlkit_selfie_segmentation: dependency: "direct main" description: path: "../google_mlkit_selfie_segmentation" relative: true source: path - version: "0.5.0" + version: "0.6.0" google_mlkit_smart_reply: dependency: "direct main" description: path: "../google_mlkit_smart_reply" relative: true source: path - version: "0.8.0" + version: "0.9.0" google_mlkit_text_recognition: dependency: "direct main" description: path: "../google_mlkit_text_recognition" relative: true source: path - version: "0.10.0" + version: "0.11.0" google_mlkit_translation: dependency: "direct main" description: path: "../google_mlkit_translation" relative: true source: path - version: "0.8.0" + version: "0.9.0" http: dependency: transitive description: name: http - sha256: "759d1a329847dd0f39226c688d3e06a6b8679668e350e2891a6474f8b4bb8525" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "1.1.0" + version: "0.13.5" http_parser: dependency: transitive description: name: http_parser - sha256: "2aa08ce0341cc9b354a498388e30986515406668dbcc4f7c950c3e715496693b" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted version: "4.0.2" image_picker: dependency: "direct main" description: name: image_picker - sha256: "6296e98782726d37f59663f0727d0e978eee1ced1ffed45ccaba591786a7f7b3" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "1.0.1" + version: "1.0.2" image_picker_android: dependency: transitive description: name: image_picker_android - sha256: "8179b54039b50eee561676232304f487602e2950ffb3e8995ed9034d6505ca34" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted version: "0.8.7+4" image_picker_for_web: dependency: transitive description: name: image_picker_for_web - sha256: "869fe8a64771b7afbc99fc433a5f7be2fea4d1cb3d7c11a48b6b579eb9c797f0" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "2.2.0" + version: "3.0.0" image_picker_ios: dependency: transitive description: name: image_picker_ios - sha256: b3e2f21feb28b24dd73a35d7ad6e83f568337c70afab5eabac876e23803f264b - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted version: "0.8.8" image_picker_linux: dependency: transitive description: name: image_picker_linux - sha256: "02cbc21fe1706b97942b575966e5fbbeaac535e76deef70d3a242e4afb857831" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted version: "0.2.1" image_picker_macos: dependency: transitive description: name: image_picker_macos - sha256: cee2aa86c56780c13af2c77b5f2f72973464db204569e1ba2dd744459a065af4 - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted version: "0.2.1" image_picker_platform_interface: dependency: transitive description: name: image_picker_platform_interface - sha256: c1134543ae2187e85299996d21c526b2f403854994026d575ae4cf30d7bb2a32 - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted version: "2.9.0" image_picker_windows: dependency: transitive description: name: image_picker_windows - sha256: c3066601ea42113922232c7b7b3330a2d86f029f685bba99d82c30e799914952 - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted version: "0.2.1" js: dependency: transitive description: name: js - sha256: f2c445dce49627136094980615a031419f7f3eb393237e4ecd97ac15dea343f3 - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "0.6.7" + version: "0.6.4" lints: dependency: transitive description: name: lints - sha256: "0a217c6c989d21039f1498c3ed9f3ed71b354e69873f13a8dfc3c9fe76f1b452" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "2.1.1" + version: "2.0.1" matcher: dependency: transitive description: name: matcher - sha256: "6501fbd55da300384b768785b83e5ce66991266cec21af89ab9ae7f5ce1c4cbb" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "0.12.15" + version: "0.12.12" material_color_utilities: dependency: transitive description: name: material_color_utilities - sha256: d92141dc6fe1dad30722f9aa826c7fbc896d021d792f80678280601aff8cf724 - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "0.2.0" + version: "0.1.5" meta: dependency: transitive description: name: meta - sha256: "3c74dbf8763d36539f114c799d8a2d87343b5067e9d796ca22b5eb8437090ee3" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "1.9.1" + version: "1.8.0" mime: dependency: transitive description: name: mime - sha256: e4ff8e8564c03f255408decd16e7899da1733852a9110a58fe6d1b817684a63e - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted version: "1.0.4" path: dependency: "direct main" description: name: path - sha256: "8829d8a55c13fc0e37127c29fedf290c102f4e40ae94ada574091fe0ff96c917" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "1.8.3" + version: "1.8.2" path_provider: dependency: "direct main" description: name: path_provider - sha256: "3087813781ab814e4157b172f1a11c46be20179fcc9bea043e0fba36bc0acaa2" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "2.0.15" + version: "2.1.0" path_provider_android: dependency: transitive description: name: path_provider_android - sha256: "2cec049d282c7f13c594b4a73976b0b4f2d7a1838a6dd5aaf7bd9719196bee86" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "2.0.27" + version: "2.1.0" path_provider_foundation: dependency: transitive description: name: path_provider_foundation - sha256: "916731ccbdce44d545414dd9961f26ba5fbaa74bcbb55237d8e65a623a8c7297" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "2.2.4" + version: "2.3.0" path_provider_linux: dependency: transitive description: name: path_provider_linux - sha256: ffbb8cc9ed2c9ec0e4b7a541e56fd79b138e8f47d2fb86815f15358a349b3b57 - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "2.1.11" + version: "2.2.0" path_provider_platform_interface: dependency: transitive description: name: path_provider_platform_interface - sha256: bced5679c7df11190e1ddc35f3222c858f328fff85c3942e46e7f5589bf9eb84 - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted version: "2.1.0" path_provider_windows: dependency: transitive description: name: path_provider_windows - sha256: "1cb68ba4cd3a795033de62ba1b7b4564dace301f952de6bfb3cd91b202b6ee96" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "2.1.7" + version: "2.2.0" platform: dependency: transitive description: name: platform - sha256: "4a451831508d7d6ca779f7ac6e212b4023dd5a7d08a27a63da33756410e32b76" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "3.1.0" + version: "3.1.1" plugin_platform_interface: dependency: transitive description: name: plugin_platform_interface - sha256: "43798d895c929056255600343db8f049921cbec94d31ec87f1dc5c16c01935dd" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted version: "2.1.5" quiver: dependency: transitive description: name: quiver - sha256: b1c1ac5ce6688d77f65f3375a9abb9319b3cb32486bdc7a1e0fdf004d7ba4e47 - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted version: "3.2.1" sky_engine: @@ -484,90 +438,79 @@ packages: dependency: transitive description: name: source_span - sha256: dd904f795d4b4f3b870833847c461801f6750a9fa8e61ea5ac53f9422b31f250 - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "1.9.1" + version: "1.9.0" stack_trace: dependency: transitive description: name: stack_trace - sha256: c3c7d8edb15bee7f0f74debd4b9c5f3c2ea86766fe4178eb2a18eb30a0bdaed5 - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "1.11.0" + version: "1.10.0" stream_channel: dependency: transitive description: name: stream_channel - sha256: "83615bee9045c1d322bbbd1ba209b7a749c2cbcdcb3fdd1df8eb488b3279c1c8" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "2.1.1" + version: "2.1.0" stream_transform: dependency: transitive description: name: stream_transform - sha256: "14a00e794c7c11aa145a170587321aedce29769c08d7f58b1d141da75e3b1c6f" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted version: "2.1.0" string_scanner: dependency: transitive description: name: string_scanner - sha256: "556692adab6cfa87322a115640c11f13cb77b3f076ddcc5d6ae3c20242bedcde" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "1.2.0" + version: "1.1.1" term_glyph: dependency: transitive description: name: term_glyph - sha256: a29248a84fbb7c79282b40b8c72a1209db169a2e0542bce341da992fe1bc7e84 - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted version: "1.2.1" test_api: dependency: transitive description: name: test_api - sha256: eb6ac1540b26de412b3403a163d919ba86f6a973fe6cc50ae3541b80092fdcfb - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "0.5.1" + version: "0.4.12" typed_data: dependency: transitive description: name: typed_data - sha256: facc8d6582f16042dd49f2463ff1bd6e2c9ef9f3d5da3d9b087e244a7b564b3c - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted version: "1.3.2" vector_math: dependency: transitive description: name: vector_math - sha256: "80b3257d1492ce4d091729e3a67a60407d227c27241d6927be0130c98e741803" - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "2.1.4" + version: "2.1.2" win32: dependency: transitive description: name: win32 - sha256: f2add6fa510d3ae152903412227bda57d0d5a8da61d2c39c1fb022c9429a41c0 - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "5.0.6" + version: "4.1.4" xdg_directories: dependency: transitive description: name: xdg_directories - sha256: e0b1147eec179d3911f1f19b59206448f78195ca1d20514134e10641b7d7fbff - url: "https://pub.dev" + url: "https://pub.dartlang.org" source: hosted - version: "1.0.1" + version: "1.0.2" sdks: - dart: ">=3.0.0 <4.0.0" + dart: ">=2.18.0 <3.0.0" flutter: ">=3.3.0" diff --git a/packages/example/pubspec.yaml b/packages/example/pubspec.yaml index bbbad06f..4de6f2fd 100644 --- a/packages/example/pubspec.yaml +++ b/packages/example/pubspec.yaml @@ -13,10 +13,10 @@ environment: dependencies: flutter: sdk: flutter - image_picker: ^1.0.1 - camera: ^0.10.5+2 - path: ^1.8.3 - path_provider: ^2.0.15 + image_picker: ^1.0.2 + camera: ^0.10.5+3 + path: ^1.8.2 + path_provider: ^2.1.0 google_mlkit_commons: # path: ../google_mlkit_commons diff --git a/packages/google_ml_kit/CHANGELOG.md b/packages/google_ml_kit/CHANGELOG.md index d62e75fe..cf8ea615 100644 --- a/packages/google_ml_kit/CHANGELOG.md +++ b/packages/google_ml_kit/CHANGELOG.md @@ -1,3 +1,7 @@ +## 0.16.3 + +* Update dependencies. + ## 0.16.2 * Update dependencies. diff --git a/packages/google_ml_kit/README.md b/packages/google_ml_kit/README.md index 42f7cf5e..9f92eeda 100644 --- a/packages/google_ml_kit/README.md +++ b/packages/google_ml_kit/README.md @@ -40,9 +40,9 @@ Go to each plugin listed bellow to read about their documentation and requiremen - [Google's ML Kit](https://developers.google.com/ml-kit) was build only for mobile platforms: iOS and Android apps. -- This plugin is not sponsor or maintained by Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) are developers excited about machine learning that wanted to expose Google's native APIs to Flutter. +- This plugin is not sponsored or maintained by Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) are developers excited about Machine Learning that wanted to expose Google's native APIs to Flutter. -- Google's ML Kit APIs are ony developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained [here](https://docs.flutter.dev/development/platform-integration/platform-channels). +- Google's ML Kit APIs are only developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained [here](https://docs.flutter.dev/development/platform-integration/platform-channels). Messages are passed between the client (the app/plugin) and host (platform) using platform channels as illustrated in this diagram: @@ -52,7 +52,7 @@ Go to each plugin listed bellow to read about their documentation and requiremen Messages and responses are passed asynchronously, to ensure the user interface remains responsive. To read more about platform channels go [here](https://docs.flutter.dev/development/platform-integration/platform-channels). - Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using `MethodChannel` in Android and `FlutterMethodChannel` in iOS, and executed using the Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app. + Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using `MethodChannel` in Android and `FlutterMethodChannel` in iOS, and executed using Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app. - Since the plugin uses platform channels, you may encounter issues with the native API. Before submitting a new issue, identify the source of the issue. You can run both iOS and/or Android native [example apps by Google](https://github.com/googlesamples/mlkit) and make sure that the issue is not reproducible with their native examples. If you can reproduce the issue in their apps then report the issue to Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) do not have access to the source code of their native APIs, so you need to report the issue to them. If you find that their example apps are okay and still you have an issue using this plugin, then look at our [closed and open issues](https://github.com/flutter-ml/google_ml_kit_flutter/issues). If you cannot find anything that can help you then report the issue and provide enough details. Be patient, someone from the community will eventually help you. diff --git a/packages/google_ml_kit/pubspec.yaml b/packages/google_ml_kit/pubspec.yaml index 648995f0..bd130976 100644 --- a/packages/google_ml_kit/pubspec.yaml +++ b/packages/google_ml_kit/pubspec.yaml @@ -1,6 +1,6 @@ name: google_ml_kit description: A Flutter plugin to use all APIs from Google's standalone ML Kit for mobile platforms. -version: 0.16.2 +version: 0.16.3 homepage: https://github.com/flutter-ml/google_ml_kit_flutter environment: @@ -12,16 +12,16 @@ dependencies: sdk: flutter # Vision APIs - google_mlkit_commons: ^0.5.0 - google_mlkit_barcode_scanning: ^0.9.0 - google_mlkit_digital_ink_recognition: ^0.9.0 - google_mlkit_face_detection: ^0.8.0 - google_mlkit_face_mesh_detection: ^0.0.1 - google_mlkit_image_labeling: ^0.9.0 - google_mlkit_object_detection: ^0.10.0 - google_mlkit_pose_detection: ^0.9.0 - google_mlkit_selfie_segmentation: ^0.5.0 - google_mlkit_text_recognition: ^0.10.0 + google_mlkit_commons: ^0.6.0 + google_mlkit_barcode_scanning: ^0.10.0 + google_mlkit_digital_ink_recognition: ^0.10.0 + google_mlkit_face_detection: ^0.9.0 + google_mlkit_face_mesh_detection: ^0.0.2 + google_mlkit_image_labeling: ^0.10.0 + google_mlkit_object_detection: ^0.11.0 + google_mlkit_pose_detection: ^0.10.0 + google_mlkit_selfie_segmentation: ^0.6.0 + google_mlkit_text_recognition: ^0.11.0 # uncomment these lines when working on the local plugins # google_mlkit_commons: @@ -44,10 +44,10 @@ dependencies: # path: ../google_mlkit_text_recognition # Natural Language APIs - google_mlkit_entity_extraction: ^0.10.0 - google_mlkit_language_id: ^0.8.0 - google_mlkit_translation: ^0.8.0 - google_mlkit_smart_reply: ^0.8.0 + google_mlkit_entity_extraction: ^0.11.0 + google_mlkit_language_id: ^0.9.0 + google_mlkit_translation: ^0.9.0 + google_mlkit_smart_reply: ^0.9.0 # uncomment these lines when working on the local plugins # google_mlkit_entity_extraction: diff --git a/packages/google_mlkit_barcode_scanning/CHANGELOG.md b/packages/google_mlkit_barcode_scanning/CHANGELOG.md index cab992da..5053ba81 100644 --- a/packages/google_mlkit_barcode_scanning/CHANGELOG.md +++ b/packages/google_mlkit_barcode_scanning/CHANGELOG.md @@ -1,3 +1,8 @@ +## 0.10.0 + +* Fix: Update build.gradle, support AGP 8. +* Update README. + ## 0.9.0 * fix: barcode Rect.zero if rect not found. diff --git a/packages/google_mlkit_barcode_scanning/README.md b/packages/google_mlkit_barcode_scanning/README.md index 42fecd2c..e52eb776 100644 --- a/packages/google_mlkit_barcode_scanning/README.md +++ b/packages/google_mlkit_barcode_scanning/README.md @@ -11,9 +11,9 @@ A Flutter plugin to use [Google's ML Kit Barcode Scanning](https://developers.go - [Google's ML Kit](https://developers.google.com/ml-kit) was build only for mobile platforms: iOS and Android apps. -- This plugin is not sponsor or maintained by Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) are developers excited about machine learning that wanted to expose Google's native APIs to Flutter. +- This plugin is not sponsored or maintained by Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) are developers excited about Machine Learning that wanted to expose Google's native APIs to Flutter. -- Google's ML Kit APIs are ony developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained [here](https://docs.flutter.dev/development/platform-integration/platform-channels). +- Google's ML Kit APIs are only developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained [here](https://docs.flutter.dev/development/platform-integration/platform-channels). Messages are passed between the client (the app/plugin) and host (platform) using platform channels as illustrated in this diagram: @@ -23,7 +23,7 @@ A Flutter plugin to use [Google's ML Kit Barcode Scanning](https://developers.go Messages and responses are passed asynchronously, to ensure the user interface remains responsive. To read more about platform channels go [here](https://docs.flutter.dev/development/platform-integration/platform-channels). - Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using `MethodChannel` in Android and `FlutterMethodChannel` in iOS, and executed using the Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app. + Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using `MethodChannel` in Android and `FlutterMethodChannel` in iOS, and executed using Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app. - Since the plugin uses platform channels, you may encounter issues with the native API. Before submitting a new issue, identify the source of the issue. You can run both iOS and/or Android native [example apps by Google](https://github.com/googlesamples/mlkit) and make sure that the issue is not reproducible with their native examples. If you can reproduce the issue in their apps then report the issue to Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) do not have access to the source code of their native APIs, so you need to report the issue to them. If you find that their example apps are okay and still you have an issue using this plugin, then look at our [closed and open issues](https://github.com/flutter-ml/google_ml_kit_flutter/issues). If you cannot find anything that can help you then report the issue and provide enough details. Be patient, someone from the community will eventually help you. diff --git a/packages/google_mlkit_barcode_scanning/pubspec.yaml b/packages/google_mlkit_barcode_scanning/pubspec.yaml index 289f2f84..32ce56ca 100644 --- a/packages/google_mlkit_barcode_scanning/pubspec.yaml +++ b/packages/google_mlkit_barcode_scanning/pubspec.yaml @@ -1,6 +1,6 @@ name: google_mlkit_barcode_scanning description: A Flutter plugin to use Google's ML Kit Barcode Scanning to read data encoded using most standard barcode formats. -version: 0.9.0 +version: 0.10.0 homepage: https://github.com/flutter-ml/google_ml_kit_flutter environment: @@ -10,7 +10,7 @@ environment: dependencies: flutter: sdk: flutter - google_mlkit_commons: ^0.5.0 + google_mlkit_commons: ^0.6.0 # path: ../google_mlkit_commons dev_dependencies: diff --git a/packages/google_mlkit_commons/CHANGELOG.md b/packages/google_mlkit_commons/CHANGELOG.md index 8edf2b26..3e0ff2d0 100644 --- a/packages/google_mlkit_commons/CHANGELOG.md +++ b/packages/google_mlkit_commons/CHANGELOG.md @@ -1,3 +1,9 @@ +## 0.6.0 + +* Fix: Update build.gradle, support AGP 8. +* Update README. +* Add rotation to Image in iOS. + ## 0.5.0 * Update README: Improve Image rotation for Android. diff --git a/packages/google_mlkit_commons/README.md b/packages/google_mlkit_commons/README.md index 07fe42fb..ac1dbb2a 100644 --- a/packages/google_mlkit_commons/README.md +++ b/packages/google_mlkit_commons/README.md @@ -11,9 +11,9 @@ A Flutter plugin with common methods used in [google\_ml\_kit](https://github.co - [Google's ML Kit](https://developers.google.com/ml-kit) was build only for mobile platforms: iOS and Android apps. -- This plugin is not sponsor or maintained by Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) are developers excited about machine learning that wanted to expose Google's native APIs to Flutter. +- This plugin is not sponsored or maintained by Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) are developers excited about Machine Learning that wanted to expose Google's native APIs to Flutter. -- Google's ML Kit APIs are ony developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained [here](https://docs.flutter.dev/development/platform-integration/platform-channels). +- Google's ML Kit APIs are only developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained [here](https://docs.flutter.dev/development/platform-integration/platform-channels). Messages are passed between the client (the app/plugin) and host (platform) using platform channels as illustrated in this diagram: @@ -23,7 +23,7 @@ A Flutter plugin with common methods used in [google\_ml\_kit](https://github.co Messages and responses are passed asynchronously, to ensure the user interface remains responsive. To read more about platform channels go [here](https://docs.flutter.dev/development/platform-integration/platform-channels). - Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using `MethodChannel` in Android and `FlutterMethodChannel` in iOS, and executed using the Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app. + Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using `MethodChannel` in Android and `FlutterMethodChannel` in iOS, and executed using Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app. - Since the plugin uses platform channels, you may encounter issues with the native API. Before submitting a new issue, identify the source of the issue. You can run both iOS and/or Android native [example apps by Google](https://github.com/googlesamples/mlkit) and make sure that the issue is not reproducible with their native examples. If you can reproduce the issue in their apps then report the issue to Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) do not have access to the source code of their native APIs, so you need to report the issue to them. If you find that their example apps are okay and still you have an issue using this plugin, then look at our [closed and open issues](https://github.com/flutter-ml/google_ml_kit_flutter/issues). If you cannot find anything that can help you then report the issue and provide enough details. Be patient, someone from the community will eventually help you. diff --git a/packages/google_mlkit_commons/pubspec.yaml b/packages/google_mlkit_commons/pubspec.yaml index f7c66b04..bce378e8 100644 --- a/packages/google_mlkit_commons/pubspec.yaml +++ b/packages/google_mlkit_commons/pubspec.yaml @@ -1,6 +1,6 @@ name: google_mlkit_commons description: A Flutter plugin with commons files to implement google's standalone ml kit made for mobile platform. -version: 0.5.0 +version: 0.6.0 homepage: https://github.com/flutter-ml/google_ml_kit_flutter environment: diff --git a/packages/google_mlkit_digital_ink_recognition/CHANGELOG.md b/packages/google_mlkit_digital_ink_recognition/CHANGELOG.md index 72b75579..1fdbc5ec 100644 --- a/packages/google_mlkit_digital_ink_recognition/CHANGELOG.md +++ b/packages/google_mlkit_digital_ink_recognition/CHANGELOG.md @@ -1,3 +1,8 @@ +## 0.10.0 + +* Fix: Update build.gradle, support AGP 8. +* Update README. + ## 0.9.0 * Update README. diff --git a/packages/google_mlkit_digital_ink_recognition/README.md b/packages/google_mlkit_digital_ink_recognition/README.md index 33c76589..d097e01e 100644 --- a/packages/google_mlkit_digital_ink_recognition/README.md +++ b/packages/google_mlkit_digital_ink_recognition/README.md @@ -11,9 +11,9 @@ A Flutter plugin to use [Google's ML Kit Digital Ink Recognition](https://develo - [Google's ML Kit](https://developers.google.com/ml-kit) was build only for mobile platforms: iOS and Android apps. -- This plugin is not sponsor or maintained by Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) are developers excited about machine learning that wanted to expose Google's native APIs to Flutter. +- This plugin is not sponsored or maintained by Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) are developers excited about Machine Learning that wanted to expose Google's native APIs to Flutter. -- Google's ML Kit APIs are ony developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained [here](https://docs.flutter.dev/development/platform-integration/platform-channels). +- Google's ML Kit APIs are only developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained [here](https://docs.flutter.dev/development/platform-integration/platform-channels). Messages are passed between the client (the app/plugin) and host (platform) using platform channels as illustrated in this diagram: @@ -23,7 +23,7 @@ A Flutter plugin to use [Google's ML Kit Digital Ink Recognition](https://develo Messages and responses are passed asynchronously, to ensure the user interface remains responsive. To read more about platform channels go [here](https://docs.flutter.dev/development/platform-integration/platform-channels). - Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using `MethodChannel` in Android and `FlutterMethodChannel` in iOS, and executed using the Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app. + Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using `MethodChannel` in Android and `FlutterMethodChannel` in iOS, and executed using Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app. - Since the plugin uses platform channels, you may encounter issues with the native API. Before submitting a new issue, identify the source of the issue. You can run both iOS and/or Android native [example apps by Google](https://github.com/googlesamples/mlkit) and make sure that the issue is not reproducible with their native examples. If you can reproduce the issue in their apps then report the issue to Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) do not have access to the source code of their native APIs, so you need to report the issue to them. If you find that their example apps are okay and still you have an issue using this plugin, then look at our [closed and open issues](https://github.com/flutter-ml/google_ml_kit_flutter/issues). If you cannot find anything that can help you then report the issue and provide enough details. Be patient, someone from the community will eventually help you. diff --git a/packages/google_mlkit_digital_ink_recognition/pubspec.yaml b/packages/google_mlkit_digital_ink_recognition/pubspec.yaml index 63d7973f..4efb7120 100644 --- a/packages/google_mlkit_digital_ink_recognition/pubspec.yaml +++ b/packages/google_mlkit_digital_ink_recognition/pubspec.yaml @@ -1,6 +1,6 @@ name: google_mlkit_digital_ink_recognition description: A Flutter plugin to use Google's ML Kit Digital Ink Recognition to recognize handwritten text on a digital surface in hundreds of languages, as well as classify sketches. -version: 0.9.0 +version: 0.10.0 homepage: https://github.com/flutter-ml/google_ml_kit_flutter environment: @@ -10,7 +10,7 @@ environment: dependencies: flutter: sdk: flutter - google_mlkit_commons: ^0.5.0 + google_mlkit_commons: ^0.6.0 # path: ../google_mlkit_commons dev_dependencies: diff --git a/packages/google_mlkit_entity_extraction/CHANGELOG.md b/packages/google_mlkit_entity_extraction/CHANGELOG.md index 86ca64f4..36ead826 100644 --- a/packages/google_mlkit_entity_extraction/CHANGELOG.md +++ b/packages/google_mlkit_entity_extraction/CHANGELOG.md @@ -1,3 +1,8 @@ +## 0.11.0 + +* Fix: Update build.gradle, support AGP 8. +* Update README. + ## 0.10.0 * fix: `DateTimeEntity.timestamp` result is expected in milliseconds, not seconds, for iOS. diff --git a/packages/google_mlkit_entity_extraction/README.md b/packages/google_mlkit_entity_extraction/README.md index 688181e9..93820cc2 100644 --- a/packages/google_mlkit_entity_extraction/README.md +++ b/packages/google_mlkit_entity_extraction/README.md @@ -11,9 +11,9 @@ A Flutter plugin to use [Google's ML Kit Entity Extractor API](https://developer - [Google's ML Kit](https://developers.google.com/ml-kit) was build only for mobile platforms: iOS and Android apps. -- This plugin is not sponsor or maintained by Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) are developers excited about machine learning that wanted to expose Google's native APIs to Flutter. +- This plugin is not sponsored or maintained by Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) are developers excited about Machine Learning that wanted to expose Google's native APIs to Flutter. -- Google's ML Kit APIs are ony developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained [here](https://docs.flutter.dev/development/platform-integration/platform-channels). +- Google's ML Kit APIs are only developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained [here](https://docs.flutter.dev/development/platform-integration/platform-channels). Messages are passed between the client (the app/plugin) and host (platform) using platform channels as illustrated in this diagram: @@ -23,7 +23,7 @@ A Flutter plugin to use [Google's ML Kit Entity Extractor API](https://developer Messages and responses are passed asynchronously, to ensure the user interface remains responsive. To read more about platform channels go [here](https://docs.flutter.dev/development/platform-integration/platform-channels). - Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using `MethodChannel` in Android and `FlutterMethodChannel` in iOS, and executed using the Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app. + Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using `MethodChannel` in Android and `FlutterMethodChannel` in iOS, and executed using Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app. - Since the plugin uses platform channels, you may encounter issues with the native API. Before submitting a new issue, identify the source of the issue. You can run both iOS and/or Android native [example apps by Google](https://github.com/googlesamples/mlkit) and make sure that the issue is not reproducible with their native examples. If you can reproduce the issue in their apps then report the issue to Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) do not have access to the source code of their native APIs, so you need to report the issue to them. If you find that their example apps are okay and still you have an issue using this plugin, then look at our [closed and open issues](https://github.com/flutter-ml/google_ml_kit_flutter/issues). If you cannot find anything that can help you then report the issue and provide enough details. Be patient, someone from the community will eventually help you. diff --git a/packages/google_mlkit_entity_extraction/pubspec.yaml b/packages/google_mlkit_entity_extraction/pubspec.yaml index 701c70a3..3afb1ac4 100644 --- a/packages/google_mlkit_entity_extraction/pubspec.yaml +++ b/packages/google_mlkit_entity_extraction/pubspec.yaml @@ -1,6 +1,6 @@ name: google_mlkit_entity_extraction description: A Flutter plugin to use Google's ML Kit Entity Extractor API to recognize specific entities within static text. -version: 0.10.0 +version: 0.11.0 homepage: https://github.com/flutter-ml/google_ml_kit_flutter environment: @@ -10,7 +10,7 @@ environment: dependencies: flutter: sdk: flutter - google_mlkit_commons: ^0.5.0 + google_mlkit_commons: ^0.6.0 # path: ../google_mlkit_commons dev_dependencies: diff --git a/packages/google_mlkit_face_detection/CHANGELOG.md b/packages/google_mlkit_face_detection/CHANGELOG.md index 72b99b3b..e851976b 100644 --- a/packages/google_mlkit_face_detection/CHANGELOG.md +++ b/packages/google_mlkit_face_detection/CHANGELOG.md @@ -1,3 +1,8 @@ +## 0.9.0 + +* Fix: Update build.gradle, support AGP 8. +* Update README. + ## 0.8.0 * Update README. diff --git a/packages/google_mlkit_face_detection/README.md b/packages/google_mlkit_face_detection/README.md index b3810925..3f5ef3cc 100644 --- a/packages/google_mlkit_face_detection/README.md +++ b/packages/google_mlkit_face_detection/README.md @@ -11,9 +11,9 @@ A Flutter plugin to use [Google's ML Kit Face Detection](https://developers.goog - [Google's ML Kit](https://developers.google.com/ml-kit) was build only for mobile platforms: iOS and Android apps. -- This plugin is not sponsor or maintained by Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) are developers excited about machine learning that wanted to expose Google's native APIs to Flutter. +- This plugin is not sponsored or maintained by Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) are developers excited about Machine Learning that wanted to expose Google's native APIs to Flutter. -- Google's ML Kit APIs are ony developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained [here](https://docs.flutter.dev/development/platform-integration/platform-channels). +- Google's ML Kit APIs are only developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained [here](https://docs.flutter.dev/development/platform-integration/platform-channels). Messages are passed between the client (the app/plugin) and host (platform) using platform channels as illustrated in this diagram: @@ -23,7 +23,7 @@ A Flutter plugin to use [Google's ML Kit Face Detection](https://developers.goog Messages and responses are passed asynchronously, to ensure the user interface remains responsive. To read more about platform channels go [here](https://docs.flutter.dev/development/platform-integration/platform-channels). - Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using `MethodChannel` in Android and `FlutterMethodChannel` in iOS, and executed using the Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app. + Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using `MethodChannel` in Android and `FlutterMethodChannel` in iOS, and executed using Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app. - Since the plugin uses platform channels, you may encounter issues with the native API. Before submitting a new issue, identify the source of the issue. You can run both iOS and/or Android native [example apps by Google](https://github.com/googlesamples/mlkit) and make sure that the issue is not reproducible with their native examples. If you can reproduce the issue in their apps then report the issue to Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) do not have access to the source code of their native APIs, so you need to report the issue to them. If you find that their example apps are okay and still you have an issue using this plugin, then look at our [closed and open issues](https://github.com/flutter-ml/google_ml_kit_flutter/issues). If you cannot find anything that can help you then report the issue and provide enough details. Be patient, someone from the community will eventually help you. diff --git a/packages/google_mlkit_face_detection/pubspec.yaml b/packages/google_mlkit_face_detection/pubspec.yaml index 69eeffa8..6d58dd2e 100644 --- a/packages/google_mlkit_face_detection/pubspec.yaml +++ b/packages/google_mlkit_face_detection/pubspec.yaml @@ -1,6 +1,6 @@ name: google_mlkit_face_detection description: A Flutter plugin to use Google's ML Kit Face Detection to detect faces in an image, identify key facial features, and get the contours of detected faces. -version: 0.8.0 +version: 0.9.0 homepage: https://github.com/flutter-ml/google_ml_kit_flutter environment: @@ -10,7 +10,7 @@ environment: dependencies: flutter: sdk: flutter - google_mlkit_commons: ^0.5.0 + google_mlkit_commons: ^0.6.0 # path: ../google_mlkit_commons dev_dependencies: diff --git a/packages/google_mlkit_face_mesh_detection/CHANGELOG.md b/packages/google_mlkit_face_mesh_detection/CHANGELOG.md index d0bd041d..d782ff82 100644 --- a/packages/google_mlkit_face_mesh_detection/CHANGELOG.md +++ b/packages/google_mlkit_face_mesh_detection/CHANGELOG.md @@ -1,3 +1,8 @@ +## 0.0.2 + +* Fix: Update build.gradle, support AGP 8. +* Update README. + ## 0.0.1 * Initial release. diff --git a/packages/google_mlkit_face_mesh_detection/README.md b/packages/google_mlkit_face_mesh_detection/README.md index f72f5f75..91cde95d 100644 --- a/packages/google_mlkit_face_mesh_detection/README.md +++ b/packages/google_mlkit_face_mesh_detection/README.md @@ -19,9 +19,9 @@ Note that the face should be facing the camera with at least half of the face vi - [Google's ML Kit](https://developers.google.com/ml-kit) was build only for mobile platforms: iOS and Android apps. -- This plugin is not sponsor or maintained by Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) are developers excited about machine learning that wanted to expose Google's native APIs to Flutter. +- This plugin is not sponsored or maintained by Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) are developers excited about Machine Learning that wanted to expose Google's native APIs to Flutter. -- Google's ML Kit APIs are ony developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained [here](https://docs.flutter.dev/development/platform-integration/platform-channels). +- Google's ML Kit APIs are only developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained [here](https://docs.flutter.dev/development/platform-integration/platform-channels). Messages are passed between the client (the app/plugin) and host (platform) using platform channels as illustrated in this diagram: @@ -31,7 +31,7 @@ Note that the face should be facing the camera with at least half of the face vi Messages and responses are passed asynchronously, to ensure the user interface remains responsive. To read more about platform channels go [here](https://docs.flutter.dev/development/platform-integration/platform-channels). - Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using `MethodChannel` in Android and `FlutterMethodChannel` in iOS, and executed using the Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app. + Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using `MethodChannel` in Android and `FlutterMethodChannel` in iOS, and executed using Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app. - Since the plugin uses platform channels, you may encounter issues with the native API. Before submitting a new issue, identify the source of the issue. You can run both iOS and/or Android native [example apps by Google](https://github.com/googlesamples/mlkit) and make sure that the issue is not reproducible with their native examples. If you can reproduce the issue in their apps then report the issue to Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) do not have access to the source code of their native APIs, so you need to report the issue to them. If you find that their example apps are okay and still you have an issue using this plugin, then look at our [closed and open issues](https://github.com/flutter-ml/google_ml_kit_flutter/issues). If you cannot find anything that can help you then report the issue and provide enough details. Be patient, someone from the community will eventually help you. diff --git a/packages/google_mlkit_face_mesh_detection/pubspec.yaml b/packages/google_mlkit_face_mesh_detection/pubspec.yaml index da96066d..49ba7a6a 100644 --- a/packages/google_mlkit_face_mesh_detection/pubspec.yaml +++ b/packages/google_mlkit_face_mesh_detection/pubspec.yaml @@ -1,6 +1,6 @@ name: google_mlkit_face_mesh_detection description: A Flutter plugin to use Google's ML Kit Face Mesh Detection. -version: 0.0.1 +version: 0.0.2 homepage: https://github.com/flutter-ml/google_ml_kit_flutter environment: @@ -10,7 +10,7 @@ environment: dependencies: flutter: sdk: flutter - google_mlkit_commons: ^0.5.0 + google_mlkit_commons: ^0.6.0 # path: ../google_mlkit_commons dev_dependencies: diff --git a/packages/google_mlkit_image_labeling/CHANGELOG.md b/packages/google_mlkit_image_labeling/CHANGELOG.md index 5ba47fd1..6b51239f 100644 --- a/packages/google_mlkit_image_labeling/CHANGELOG.md +++ b/packages/google_mlkit_image_labeling/CHANGELOG.md @@ -1,3 +1,8 @@ +## 0.10.0 + +* Fix: Update build.gradle, support AGP 8. +* Update README. + ## 0.9.0 * Update path for Custom models. diff --git a/packages/google_mlkit_image_labeling/README.md b/packages/google_mlkit_image_labeling/README.md index 9c0d9dad..39e1565d 100644 --- a/packages/google_mlkit_image_labeling/README.md +++ b/packages/google_mlkit_image_labeling/README.md @@ -11,9 +11,9 @@ A Flutter plugin to use [Google's ML Kit Image Labeling](https://developers.goog - [Google's ML Kit](https://developers.google.com/ml-kit) was build only for mobile platforms: iOS and Android apps. -- This plugin is not sponsor or maintained by Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) are developers excited about machine learning that wanted to expose Google's native APIs to Flutter. +- This plugin is not sponsored or maintained by Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) are developers excited about Machine Learning that wanted to expose Google's native APIs to Flutter. -- Google's ML Kit APIs are ony developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained [here](https://docs.flutter.dev/development/platform-integration/platform-channels). +- Google's ML Kit APIs are only developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained [here](https://docs.flutter.dev/development/platform-integration/platform-channels). Messages are passed between the client (the app/plugin) and host (platform) using platform channels as illustrated in this diagram: @@ -23,7 +23,7 @@ A Flutter plugin to use [Google's ML Kit Image Labeling](https://developers.goog Messages and responses are passed asynchronously, to ensure the user interface remains responsive. To read more about platform channels go [here](https://docs.flutter.dev/development/platform-integration/platform-channels). - Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using `MethodChannel` in Android and `FlutterMethodChannel` in iOS, and executed using the Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app. + Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using `MethodChannel` in Android and `FlutterMethodChannel` in iOS, and executed using Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app. - Since the plugin uses platform channels, you may encounter issues with the native API. Before submitting a new issue, identify the source of the issue. You can run both iOS and/or Android native [example apps by Google](https://github.com/googlesamples/mlkit) and make sure that the issue is not reproducible with their native examples. If you can reproduce the issue in their apps then report the issue to Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) do not have access to the source code of their native APIs, so you need to report the issue to them. If you find that their example apps are okay and still you have an issue using this plugin, then look at our [closed and open issues](https://github.com/flutter-ml/google_ml_kit_flutter/issues). If you cannot find anything that can help you then report the issue and provide enough details. Be patient, someone from the community will eventually help you. diff --git a/packages/google_mlkit_image_labeling/pubspec.yaml b/packages/google_mlkit_image_labeling/pubspec.yaml index b9010d29..53cabf9e 100644 --- a/packages/google_mlkit_image_labeling/pubspec.yaml +++ b/packages/google_mlkit_image_labeling/pubspec.yaml @@ -1,6 +1,6 @@ name: google_mlkit_image_labeling description: A Flutter plugin to use Google's ML Kit Image Labeling to detect and extract information about entities in an image across a broad group of categories. -version: 0.9.0 +version: 0.10.0 homepage: https://github.com/flutter-ml/google_ml_kit_flutter environment: @@ -10,7 +10,7 @@ environment: dependencies: flutter: sdk: flutter - google_mlkit_commons: ^0.5.0 + google_mlkit_commons: ^0.6.0 # path: ../google_mlkit_commons dev_dependencies: diff --git a/packages/google_mlkit_language_id/CHANGELOG.md b/packages/google_mlkit_language_id/CHANGELOG.md index 468758bd..a48d1c22 100644 --- a/packages/google_mlkit_language_id/CHANGELOG.md +++ b/packages/google_mlkit_language_id/CHANGELOG.md @@ -1,3 +1,8 @@ +## 0.9.0 + +* Fix: Update build.gradle, support AGP 8. +* Update README. + ## 0.8.0 * Update README. diff --git a/packages/google_mlkit_language_id/README.md b/packages/google_mlkit_language_id/README.md index 0ccde7bc..93666628 100644 --- a/packages/google_mlkit_language_id/README.md +++ b/packages/google_mlkit_language_id/README.md @@ -11,9 +11,9 @@ A Flutter plugin to use [Google's ML Kit Language Identification](https://develo - [Google's ML Kit](https://developers.google.com/ml-kit) was build only for mobile platforms: iOS and Android apps. -- This plugin is not sponsor or maintained by Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) are developers excited about machine learning that wanted to expose Google's native APIs to Flutter. +- This plugin is not sponsored or maintained by Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) are developers excited about Machine Learning that wanted to expose Google's native APIs to Flutter. -- Google's ML Kit APIs are ony developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained [here](https://docs.flutter.dev/development/platform-integration/platform-channels). +- Google's ML Kit APIs are only developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained [here](https://docs.flutter.dev/development/platform-integration/platform-channels). Messages are passed between the client (the app/plugin) and host (platform) using platform channels as illustrated in this diagram: @@ -23,7 +23,7 @@ A Flutter plugin to use [Google's ML Kit Language Identification](https://develo Messages and responses are passed asynchronously, to ensure the user interface remains responsive. To read more about platform channels go [here](https://docs.flutter.dev/development/platform-integration/platform-channels). - Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using `MethodChannel` in Android and `FlutterMethodChannel` in iOS, and executed using the Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app. + Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using `MethodChannel` in Android and `FlutterMethodChannel` in iOS, and executed using Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app. - Since the plugin uses platform channels, you may encounter issues with the native API. Before submitting a new issue, identify the source of the issue. You can run both iOS and/or Android native [example apps by Google](https://github.com/googlesamples/mlkit) and make sure that the issue is not reproducible with their native examples. If you can reproduce the issue in their apps then report the issue to Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) do not have access to the source code of their native APIs, so you need to report the issue to them. If you find that their example apps are okay and still you have an issue using this plugin, then look at our [closed and open issues](https://github.com/flutter-ml/google_ml_kit_flutter/issues). If you cannot find anything that can help you then report the issue and provide enough details. Be patient, someone from the community will eventually help you. diff --git a/packages/google_mlkit_language_id/pubspec.yaml b/packages/google_mlkit_language_id/pubspec.yaml index b4da5914..06df3ff7 100644 --- a/packages/google_mlkit_language_id/pubspec.yaml +++ b/packages/google_mlkit_language_id/pubspec.yaml @@ -1,6 +1,6 @@ name: google_mlkit_language_id description: A Flutter plugin to use Google's ML Kit Language Identification to determine the language of a string of text. -version: 0.8.0 +version: 0.9.0 homepage: https://github.com/flutter-ml/google_ml_kit_flutter environment: diff --git a/packages/google_mlkit_object_detection/CHANGELOG.md b/packages/google_mlkit_object_detection/CHANGELOG.md index c007a073..7ff86f49 100644 --- a/packages/google_mlkit_object_detection/CHANGELOG.md +++ b/packages/google_mlkit_object_detection/CHANGELOG.md @@ -1,3 +1,8 @@ +## 0.11.0 + +* Fix: Update build.gradle, support AGP 8. +* Update README. + ## 0.10.0 * Update path for Custom models. diff --git a/packages/google_mlkit_object_detection/README.md b/packages/google_mlkit_object_detection/README.md index fbca59c7..0b8211e7 100644 --- a/packages/google_mlkit_object_detection/README.md +++ b/packages/google_mlkit_object_detection/README.md @@ -11,9 +11,9 @@ A Flutter plugin to use [Google's ML Kit Object Detection and Tracking](https:// - [Google's ML Kit](https://developers.google.com/ml-kit) was build only for mobile platforms: iOS and Android apps. -- This plugin is not sponsor or maintained by Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) are developers excited about machine learning that wanted to expose Google's native APIs to Flutter. +- This plugin is not sponsored or maintained by Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) are developers excited about Machine Learning that wanted to expose Google's native APIs to Flutter. -- Google's ML Kit APIs are ony developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained [here](https://docs.flutter.dev/development/platform-integration/platform-channels). +- Google's ML Kit APIs are only developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained [here](https://docs.flutter.dev/development/platform-integration/platform-channels). Messages are passed between the client (the app/plugin) and host (platform) using platform channels as illustrated in this diagram: @@ -23,7 +23,7 @@ A Flutter plugin to use [Google's ML Kit Object Detection and Tracking](https:// Messages and responses are passed asynchronously, to ensure the user interface remains responsive. To read more about platform channels go [here](https://docs.flutter.dev/development/platform-integration/platform-channels). - Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using `MethodChannel` in Android and `FlutterMethodChannel` in iOS, and executed using the Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app. + Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using `MethodChannel` in Android and `FlutterMethodChannel` in iOS, and executed using Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app. - Since the plugin uses platform channels, you may encounter issues with the native API. Before submitting a new issue, identify the source of the issue. You can run both iOS and/or Android native [example apps by Google](https://github.com/googlesamples/mlkit) and make sure that the issue is not reproducible with their native examples. If you can reproduce the issue in their apps then report the issue to Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) do not have access to the source code of their native APIs, so you need to report the issue to them. If you find that their example apps are okay and still you have an issue using this plugin, then look at our [closed and open issues](https://github.com/flutter-ml/google_ml_kit_flutter/issues). If you cannot find anything that can help you then report the issue and provide enough details. Be patient, someone from the community will eventually help you. diff --git a/packages/google_mlkit_object_detection/pubspec.yaml b/packages/google_mlkit_object_detection/pubspec.yaml index 3560f3a1..ba6cfa30 100644 --- a/packages/google_mlkit_object_detection/pubspec.yaml +++ b/packages/google_mlkit_object_detection/pubspec.yaml @@ -1,6 +1,6 @@ name: google_mlkit_object_detection description: A Flutter plugin to use Google's ML Kit Object Detection and Tracking to detect and track objects in an image or live camera feed. -version: 0.10.0 +version: 0.11.0 homepage: https://github.com/flutter-ml/google_ml_kit_flutter environment: @@ -10,7 +10,7 @@ environment: dependencies: flutter: sdk: flutter - google_mlkit_commons: ^0.5.0 + google_mlkit_commons: ^0.6.0 # path: ../google_mlkit_commons dev_dependencies: diff --git a/packages/google_mlkit_pose_detection/CHANGELOG.md b/packages/google_mlkit_pose_detection/CHANGELOG.md index 9b2822b7..7b6bf347 100644 --- a/packages/google_mlkit_pose_detection/CHANGELOG.md +++ b/packages/google_mlkit_pose_detection/CHANGELOG.md @@ -1,3 +1,8 @@ +## 0.10.0 + +* Fix: Update build.gradle, support AGP 8. +* Update README. + ## 0.9.0 * Update dependencies. diff --git a/packages/google_mlkit_pose_detection/README.md b/packages/google_mlkit_pose_detection/README.md index 32ff9a5c..2f4a22f4 100644 --- a/packages/google_mlkit_pose_detection/README.md +++ b/packages/google_mlkit_pose_detection/README.md @@ -11,9 +11,9 @@ A Flutter plugin to use [Google's ML Kit Pose Detection](https://developers.goog - [Google's ML Kit](https://developers.google.com/ml-kit) was build only for mobile platforms: iOS and Android apps. -- This plugin is not sponsor or maintained by Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) are developers excited about machine learning that wanted to expose Google's native APIs to Flutter. +- This plugin is not sponsored or maintained by Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) are developers excited about Machine Learning that wanted to expose Google's native APIs to Flutter. -- Google's ML Kit APIs are ony developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained [here](https://docs.flutter.dev/development/platform-integration/platform-channels). +- Google's ML Kit APIs are only developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained [here](https://docs.flutter.dev/development/platform-integration/platform-channels). Messages are passed between the client (the app/plugin) and host (platform) using platform channels as illustrated in this diagram: @@ -23,7 +23,7 @@ A Flutter plugin to use [Google's ML Kit Pose Detection](https://developers.goog Messages and responses are passed asynchronously, to ensure the user interface remains responsive. To read more about platform channels go [here](https://docs.flutter.dev/development/platform-integration/platform-channels). - Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using `MethodChannel` in Android and `FlutterMethodChannel` in iOS, and executed using the Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app. + Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using `MethodChannel` in Android and `FlutterMethodChannel` in iOS, and executed using Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app. - Since the plugin uses platform channels, you may encounter issues with the native API. Before submitting a new issue, identify the source of the issue. You can run both iOS and/or Android native [example apps by Google](https://github.com/googlesamples/mlkit) and make sure that the issue is not reproducible with their native examples. If you can reproduce the issue in their apps then report the issue to Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) do not have access to the source code of their native APIs, so you need to report the issue to them. If you find that their example apps are okay and still you have an issue using this plugin, then look at our [closed and open issues](https://github.com/flutter-ml/google_ml_kit_flutter/issues). If you cannot find anything that can help you then report the issue and provide enough details. Be patient, someone from the community will eventually help you. diff --git a/packages/google_mlkit_pose_detection/pubspec.yaml b/packages/google_mlkit_pose_detection/pubspec.yaml index 40236518..24ea47e7 100644 --- a/packages/google_mlkit_pose_detection/pubspec.yaml +++ b/packages/google_mlkit_pose_detection/pubspec.yaml @@ -1,6 +1,6 @@ name: google_mlkit_pose_detection description: A Flutter plugin to use Google's ML Kit Pose Detection to detect the pose of a subject's body in real time from a continuous video or static image. -version: 0.9.0 +version: 0.10.0 homepage: https://github.com/flutter-ml/google_ml_kit_flutter environment: @@ -10,7 +10,7 @@ environment: dependencies: flutter: sdk: flutter - google_mlkit_commons: ^0.5.0 + google_mlkit_commons: ^0.6.0 # path: ../google_mlkit_commons dev_dependencies: diff --git a/packages/google_mlkit_selfie_segmentation/CHANGELOG.md b/packages/google_mlkit_selfie_segmentation/CHANGELOG.md index 8e36aea7..9b7e7160 100644 --- a/packages/google_mlkit_selfie_segmentation/CHANGELOG.md +++ b/packages/google_mlkit_selfie_segmentation/CHANGELOG.md @@ -1,3 +1,8 @@ +## 0.6.0 + +* Fix: Update build.gradle, support AGP 8. +* Update README. + ## 0.5.0 * fix: Selfie Segmentation data casting. diff --git a/packages/google_mlkit_selfie_segmentation/README.md b/packages/google_mlkit_selfie_segmentation/README.md index a1bf461b..e18fec86 100644 --- a/packages/google_mlkit_selfie_segmentation/README.md +++ b/packages/google_mlkit_selfie_segmentation/README.md @@ -11,9 +11,9 @@ A Flutter plugin to use [Google's ML Kit Selfie Segmentation API](https://devel - [Google's ML Kit](https://developers.google.com/ml-kit) was build only for mobile platforms: iOS and Android apps. -- This plugin is not sponsor or maintained by Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) are developers excited about machine learning that wanted to expose Google's native APIs to Flutter. +- This plugin is not sponsored or maintained by Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) are developers excited about Machine Learning that wanted to expose Google's native APIs to Flutter. -- Google's ML Kit APIs are ony developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained [here](https://docs.flutter.dev/development/platform-integration/platform-channels). +- Google's ML Kit APIs are only developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained [here](https://docs.flutter.dev/development/platform-integration/platform-channels). Messages are passed between the client (the app/plugin) and host (platform) using platform channels as illustrated in this diagram: @@ -23,7 +23,7 @@ A Flutter plugin to use [Google's ML Kit Selfie Segmentation API](https://devel Messages and responses are passed asynchronously, to ensure the user interface remains responsive. To read more about platform channels go [here](https://docs.flutter.dev/development/platform-integration/platform-channels). - Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using `MethodChannel` in Android and `FlutterMethodChannel` in iOS, and executed using the Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app. + Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using `MethodChannel` in Android and `FlutterMethodChannel` in iOS, and executed using Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app. - Since the plugin uses platform channels, you may encounter issues with the native API. Before submitting a new issue, identify the source of the issue. You can run both iOS and/or Android native [example apps by Google](https://github.com/googlesamples/mlkit) and make sure that the issue is not reproducible with their native examples. If you can reproduce the issue in their apps then report the issue to Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) do not have access to the source code of their native APIs, so you need to report the issue to them. If you find that their example apps are okay and still you have an issue using this plugin, then look at our [closed and open issues](https://github.com/flutter-ml/google_ml_kit_flutter/issues). If you cannot find anything that can help you then report the issue and provide enough details. Be patient, someone from the community will eventually help you. diff --git a/packages/google_mlkit_selfie_segmentation/pubspec.yaml b/packages/google_mlkit_selfie_segmentation/pubspec.yaml index cd822492..6f6c31f4 100644 --- a/packages/google_mlkit_selfie_segmentation/pubspec.yaml +++ b/packages/google_mlkit_selfie_segmentation/pubspec.yaml @@ -1,6 +1,6 @@ name: google_mlkit_selfie_segmentation description: Flutter plugin to use Google's ML Kit Selfie Segmentation API to easily separate the background from users within a scene and focus on what matters. -version: 0.5.0 +version: 0.6.0 homepage: https://github.com/flutter-ml/google_ml_kit_flutter environment: @@ -10,7 +10,7 @@ environment: dependencies: flutter: sdk: flutter - google_mlkit_commons: ^0.5.0 + google_mlkit_commons: ^0.6.0 # path: ../google_mlkit_commons dev_dependencies: diff --git a/packages/google_mlkit_smart_reply/CHANGELOG.md b/packages/google_mlkit_smart_reply/CHANGELOG.md index 72b99b3b..e851976b 100644 --- a/packages/google_mlkit_smart_reply/CHANGELOG.md +++ b/packages/google_mlkit_smart_reply/CHANGELOG.md @@ -1,3 +1,8 @@ +## 0.9.0 + +* Fix: Update build.gradle, support AGP 8. +* Update README. + ## 0.8.0 * Update README. diff --git a/packages/google_mlkit_smart_reply/README.md b/packages/google_mlkit_smart_reply/README.md index 9971a0aa..f8b8736d 100644 --- a/packages/google_mlkit_smart_reply/README.md +++ b/packages/google_mlkit_smart_reply/README.md @@ -11,9 +11,9 @@ A Flutter plugin to use [Google's ML Kit Smart Reply API](https://developers.goo - [Google's ML Kit](https://developers.google.com/ml-kit) was build only for mobile platforms: iOS and Android apps. -- This plugin is not sponsor or maintained by Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) are developers excited about machine learning that wanted to expose Google's native APIs to Flutter. +- This plugin is not sponsored or maintained by Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) are developers excited about Machine Learning that wanted to expose Google's native APIs to Flutter. -- Google's ML Kit APIs are ony developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained [here](https://docs.flutter.dev/development/platform-integration/platform-channels). +- Google's ML Kit APIs are only developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained [here](https://docs.flutter.dev/development/platform-integration/platform-channels). Messages are passed between the client (the app/plugin) and host (platform) using platform channels as illustrated in this diagram: @@ -23,7 +23,7 @@ A Flutter plugin to use [Google's ML Kit Smart Reply API](https://developers.goo Messages and responses are passed asynchronously, to ensure the user interface remains responsive. To read more about platform channels go [here](https://docs.flutter.dev/development/platform-integration/platform-channels). - Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using `MethodChannel` in Android and `FlutterMethodChannel` in iOS, and executed using the Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app. + Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using `MethodChannel` in Android and `FlutterMethodChannel` in iOS, and executed using Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app. - Since the plugin uses platform channels, you may encounter issues with the native API. Before submitting a new issue, identify the source of the issue. You can run both iOS and/or Android native [example apps by Google](https://github.com/googlesamples/mlkit) and make sure that the issue is not reproducible with their native examples. If you can reproduce the issue in their apps then report the issue to Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) do not have access to the source code of their native APIs, so you need to report the issue to them. If you find that their example apps are okay and still you have an issue using this plugin, then look at our [closed and open issues](https://github.com/flutter-ml/google_ml_kit_flutter/issues). If you cannot find anything that can help you then report the issue and provide enough details. Be patient, someone from the community will eventually help you. diff --git a/packages/google_mlkit_smart_reply/pubspec.yaml b/packages/google_mlkit_smart_reply/pubspec.yaml index c9026f1e..3807252e 100644 --- a/packages/google_mlkit_smart_reply/pubspec.yaml +++ b/packages/google_mlkit_smart_reply/pubspec.yaml @@ -1,6 +1,6 @@ name: google_mlkit_smart_reply description: A Flutter plugin to use Google's ML Kit Smart Reply API to automatically generate relevant replies to messages. -version: 0.8.0 +version: 0.9.0 homepage: https://github.com/flutter-ml/google_ml_kit_flutter environment: diff --git a/packages/google_mlkit_text_recognition/CHANGELOG.md b/packages/google_mlkit_text_recognition/CHANGELOG.md index 9f651bf4..e75b3822 100644 --- a/packages/google_mlkit_text_recognition/CHANGELOG.md +++ b/packages/google_mlkit_text_recognition/CHANGELOG.md @@ -1,3 +1,8 @@ +## 0.11.0 + +* Fix: Update build.gradle, support AGP 8. +* Update README. + ## 0.10.0 * Update dependencies. diff --git a/packages/google_mlkit_text_recognition/README.md b/packages/google_mlkit_text_recognition/README.md index ff37860b..b625ce5a 100644 --- a/packages/google_mlkit_text_recognition/README.md +++ b/packages/google_mlkit_text_recognition/README.md @@ -11,9 +11,9 @@ A Flutter plugin to use [Google's ML Kit Text Recognition](https://developers.go - [Google's ML Kit](https://developers.google.com/ml-kit) was build only for mobile platforms: iOS and Android apps. -- This plugin is not sponsor or maintained by Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) are developers excited about machine learning that wanted to expose Google's native APIs to Flutter. +- This plugin is not sponsored or maintained by Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) are developers excited about Machine Learning that wanted to expose Google's native APIs to Flutter. -- Google's ML Kit APIs are ony developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained [here](https://docs.flutter.dev/development/platform-integration/platform-channels). +- Google's ML Kit APIs are only developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained [here](https://docs.flutter.dev/development/platform-integration/platform-channels). Messages are passed between the client (the app/plugin) and host (platform) using platform channels as illustrated in this diagram: @@ -23,7 +23,7 @@ A Flutter plugin to use [Google's ML Kit Text Recognition](https://developers.go Messages and responses are passed asynchronously, to ensure the user interface remains responsive. To read more about platform channels go [here](https://docs.flutter.dev/development/platform-integration/platform-channels). - Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using `MethodChannel` in Android and `FlutterMethodChannel` in iOS, and executed using the Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app. + Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using `MethodChannel` in Android and `FlutterMethodChannel` in iOS, and executed using Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app. - Since the plugin uses platform channels, you may encounter issues with the native API. Before submitting a new issue, identify the source of the issue. You can run both iOS and/or Android native [example apps by Google](https://github.com/googlesamples/mlkit) and make sure that the issue is not reproducible with their native examples. If you can reproduce the issue in their apps then report the issue to Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) do not have access to the source code of their native APIs, so you need to report the issue to them. If you find that their example apps are okay and still you have an issue using this plugin, then look at our [closed and open issues](https://github.com/flutter-ml/google_ml_kit_flutter/issues). If you cannot find anything that can help you then report the issue and provide enough details. Be patient, someone from the community will eventually help you. diff --git a/packages/google_mlkit_text_recognition/pubspec.yaml b/packages/google_mlkit_text_recognition/pubspec.yaml index f29b423f..3ed5a3ea 100644 --- a/packages/google_mlkit_text_recognition/pubspec.yaml +++ b/packages/google_mlkit_text_recognition/pubspec.yaml @@ -1,6 +1,6 @@ name: google_mlkit_text_recognition description: A Flutter plugin to use Google's ML Kit Text Recognition to recognize text in any Chinese, Devanagari, Japanese, Korean and Latin character set. -version: 0.10.0 +version: 0.11.0 homepage: https://github.com/flutter-ml/google_ml_kit_flutter environment: @@ -10,7 +10,7 @@ environment: dependencies: flutter: sdk: flutter - google_mlkit_commons: ^0.5.0 + google_mlkit_commons: ^0.6.0 # path: ../google_mlkit_commons dev_dependencies: diff --git a/packages/google_mlkit_translation/CHANGELOG.md b/packages/google_mlkit_translation/CHANGELOG.md index 02e38eb8..44723b47 100644 --- a/packages/google_mlkit_translation/CHANGELOG.md +++ b/packages/google_mlkit_translation/CHANGELOG.md @@ -1,3 +1,8 @@ +## 0.9.0 + +* Fix: Update build.gradle, support AGP 8. +* Update README. + ## 0.8.0 * Update README. diff --git a/packages/google_mlkit_translation/README.md b/packages/google_mlkit_translation/README.md index b43671ec..807652dc 100644 --- a/packages/google_mlkit_translation/README.md +++ b/packages/google_mlkit_translation/README.md @@ -11,9 +11,9 @@ A Flutter plugin to use [Google's ML Kit On-Device Translation](https://develope - [Google's ML Kit](https://developers.google.com/ml-kit) was build only for mobile platforms: iOS and Android apps. -- This plugin is not sponsor or maintained by Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) are developers excited about machine learning that wanted to expose Google's native APIs to Flutter. +- This plugin is not sponsored or maintained by Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) are developers excited about Machine Learning that wanted to expose Google's native APIs to Flutter. -- Google's ML Kit APIs are ony developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained [here](https://docs.flutter.dev/development/platform-integration/platform-channels). +- Google's ML Kit APIs are only developed natively for iOS and Android. This plugin uses Flutter Platform Channels as explained [here](https://docs.flutter.dev/development/platform-integration/platform-channels). Messages are passed between the client (the app/plugin) and host (platform) using platform channels as illustrated in this diagram: @@ -23,7 +23,7 @@ A Flutter plugin to use [Google's ML Kit On-Device Translation](https://develope Messages and responses are passed asynchronously, to ensure the user interface remains responsive. To read more about platform channels go [here](https://docs.flutter.dev/development/platform-integration/platform-channels). - Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using `MethodChannel` in Android and `FlutterMethodChannel` in iOS, and executed using the Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app. + Because this plugin uses platform channels, no Machine Learning processing is done in Flutter/Dart, all the calls are passed to the native platform using `MethodChannel` in Android and `FlutterMethodChannel` in iOS, and executed using Google's native APIs. Think of this plugin as a bridge between your app and Google's native ML Kit APIs. This plugin only passes the call to the native API and the processing is done by Google's API. It is important that you understand this concept when it comes to debugging errors for your ML model and/or app. - Since the plugin uses platform channels, you may encounter issues with the native API. Before submitting a new issue, identify the source of the issue. You can run both iOS and/or Android native [example apps by Google](https://github.com/googlesamples/mlkit) and make sure that the issue is not reproducible with their native examples. If you can reproduce the issue in their apps then report the issue to Google. The [authors](https://github.com/flutter-ml/google_ml_kit_flutter/blob/master/AUTHORS) do not have access to the source code of their native APIs, so you need to report the issue to them. If you find that their example apps are okay and still you have an issue using this plugin, then look at our [closed and open issues](https://github.com/flutter-ml/google_ml_kit_flutter/issues). If you cannot find anything that can help you then report the issue and provide enough details. Be patient, someone from the community will eventually help you. diff --git a/packages/google_mlkit_translation/pubspec.yaml b/packages/google_mlkit_translation/pubspec.yaml index 4010ddd9..2ef3df26 100644 --- a/packages/google_mlkit_translation/pubspec.yaml +++ b/packages/google_mlkit_translation/pubspec.yaml @@ -1,6 +1,6 @@ name: google_mlkit_translation description: A Flutter plugin to use Google's ML Kit On-Device Translation to dynamically translate text between more than 50 languages. -version: 0.8.0 +version: 0.9.0 homepage: https://github.com/flutter-ml/google_ml_kit_flutter environment: @@ -10,7 +10,7 @@ environment: dependencies: flutter: sdk: flutter - google_mlkit_commons: ^0.5.0 + google_mlkit_commons: ^0.6.0 # path: ../google_mlkit_commons dev_dependencies: