Sample app to demonstrate OpenCV Face detection with video from device in Compose.

On my test device Samsung M21:

• Extracting frame avg. 20ms
• Face Detecting:
  • 1920*1080: 400ms
  • 640*360: 75ms
• Converting the frame to bitmap avg. 8ms

1. Download the "Android" package from OpenCV

2. Extract the the zip file and copy "sdk" folder into root directory of your project

3. File -> New -> Import module -> Select the "sdk" module & name it ":openCV"

   You may get errors here, just follow the steps here

4. Update "settings.gradle" file

   settings.gradle

      pluginManagement {
          repositories {
              google {
                  content {
                      includeGroupByRegex("com\\.android.*")
                      includeGroupByRegex("com\\.google.*")
                      includeGroupByRegex("androidx.*")
                  }
              }
              mavenCentral()
              gradlePluginPortal()
          }
      }
      dependencyResolutionManagement {
          repositoriesMode.set(RepositoriesMode.FAIL_ON_PROJECT_REPOS)
          repositories {
              google()
              mavenCentral()
          }
      }
      
      rootProject.name = "OpenCVFaceDetection" <---- YOUR PROJECT NAME
      include(":app")
      
      include(":openCV")
      project(":openCV").projectDir = File(rootDir, "sdk/")
   

5. Update "build.gradle (Module :openCV)" file

   build.gradle (Module :openCV)

      ...
      minSdkVersion 24 (same as your main module)
      targetSdkVersion 34 (same as your main module)
      add:
      kotlinOptions {
        jvmTarget = "1.8" (same as your main module)
      }
      ...
   

6. Import openCV in your main module

   build.gradle (Module :app)

      ...
      implementation (fileTree(mapOf("dir" to "libs", "include" to listOf("*.jar"))))
      implementation (project(":openCV"))
   

7. Download the latest version of onnx file for face detection and place it in res/raw

Current latest face_detection_yunet_2023mar.onnx

Note: don't pick the file with "_int8.onnx" ending

You need custom made app/feature?

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