Merge pull request #315 from Apparence-io/release/v2.0.0

🔖 Release/v2.0.0

.run/multi_camera.run.xml

@@ -0,0 +1,6 @@
+<component name="ProjectRunConfigurationManager">
+  <configuration default="false" name="multi_camera" type="FlutterRunConfigurationType" factoryName="Flutter">
+    <option name="filePath" value="$PROJECT_DIR$/example/lib/multi_camera.dart" />
+    <method v="2" />
+  </configuration>
+</component>

.vscode/launch.json

@@ -17,6 +17,12 @@
       "program": "example/lib/subroute_camera.dart",
       "flutterMode": "profile"
     },
+    {
+      "name": "Multi camera example",
+      "request": "launch",
+      "type": "dart",
+      "program": "example/lib/multi_camera.dart"
+    },
     {
       "name": "AI analysis - face detection",
       "request": "launch",

CHANGELOG.md

@@ -1,3 +1,28 @@
+# 2.0.0 - Multi camera is here !
+
+Hello everyone 👋 !
+
+We are proud to announce the two most requested features on the official camera plugin:
+
+- Multi-camera 📹
+- Video settings 🎥
+
+This release introduces breaking changes in order to support above features.
+See the [migration guide](https://docs.page/Apparence-io/camera_awesome/migration_guide/from_1_to_2) for details.
+
+Here is the complete changelog:
+
+- ✨ Added multi-camera feature, allowing users to display multiple camera previews simultaneously. Note that this feature is currently in beta, and we do not recommend using it in production.
+- ✨ Users can now pass options (such as bitrate, fps, and quality) when recording a video.
+- ✨ You can now mirror video recording.
+- ✨🍏 Implemented brightness and exposure level settings on iOS / iPadOS.
+- ✨🤖 Added zoom indicator UI.
+- ✨🤖 Video recording is now mirrored if `mirrorFrontCamera` is set to true.
+- ♻️🍏 Completely reworked the code for increased clarity and performance.
+- 🐛 Fixed patrol tests.
+- 🐛 Fixed the use of capture button parameter in awesome bottom actions (thanks to @juliuszmandrosz).
+- 📝 Added Chinese README.md (thanks to @chyiiiiiiiiiiii).
+
 # 1.4.0
 
 - ✨ Add utilities to convert AnalysisImage into JPEG in order to display them using `toJpeg()`.