Java

import com.insightface.sdk.inspireface.jni.NativeTypes.*;
import static com.insightface.sdk.inspireface.jni.Native.*;
import static com.insightface.sdk.inspireface.jni.NativeConstants.*;
import static com.insightface.sdk.inspireface.jni.InspireFaceException.check;

/**
 * Non-Android JVM example. Run from the installed Java SDK directory:
 * javac -cp inspireface.jar examples/DetectFaces.java
 * java -Djava.library.path=native/macos-arm64 -cp inspireface.jar:examples DetectFaces /path/Pikachu /path/face.jpg
 * Select the native directory matching the JVM OS/architecture; Windows uses ; in the classpath.
 */
public final class DetectFaces {
    public static void main(String[] args) {
        if (args.length != 2) throw new IllegalArgumentException("Usage: DetectFaces MODEL_FILE IMAGE_FILE");
        check(HFLaunchInspireFace(args[0]));
        long[] session = new long[1], bitmap = new long[1], stream = new long[1];
        try {
            check(HFCreateInspireFaceSessionOptional(HF_ENABLE_NONE, HF_DETECT_MODE_ALWAYS_DETECT, 10, -1, -1, session));
            check(HFCreateImageBitmapFromFilePath(args[1], 3, bitmap));
            HFImageBitmapData pixels = new HFImageBitmapData();
            check(HFImageBitmapGetData(bitmap[0], pixels));
            HFImageData input = new HFImageData();
            input.data = pixels.data; input.width = pixels.width; input.height = pixels.height;
            input.format = HF_STREAM_BGR; input.rotation = HF_CAMERA_ROTATION_0;
            check(HFCreateImageStream(input, stream)); // Borrows pixels; keep bitmap alive.
            HFMultipleFaceData faces = new HFMultipleFaceData();
            check(HFExecuteFaceTrack(session[0], stream[0], faces));
            System.out.println("Detected " + faces.detectedNum + " face(s)");
            for (HFaceRect rect : faces.rects) {
                System.out.printf("x=%d y=%d width=%d height=%d%n", rect.x, rect.y, rect.width, rect.height);
            }
        } finally {
            if (stream[0] != 0) HFReleaseImageStream(stream[0]);
            if (bitmap[0] != 0) HFReleaseImageBitmap(bitmap[0]);
            if (session[0] != 0) HFReleaseInspireFaceSession(session[0]);
            HFTerminateInspireFace();
        }
    }
}

import java.nio.ByteBuffer;
import java.nio.ByteOrder;

// Add this method to a class with the SDK imports shown above.
static void detectBgr(long session, byte[] bgr, int width, int height) {
    if (width <= 0 || height <= 0) {
        throw new IllegalArgumentException("Image dimensions must be positive");
    }
    int bytes = Math.multiplyExact(Math.multiplyExact(width, height), 3);
    if (bgr.length != bytes) {
        throw new IllegalArgumentException("Expected tightly packed BGR pixels");
    }
    ByteBuffer pixels = ByteBuffer.allocateDirect(bytes).order(ByteOrder.nativeOrder());
    pixels.put(bgr);
    pixels.flip();
    HFImageData input = new HFImageData();
    input.data = pixels;
    input.width = width;
    input.height = height;
    input.format = HF_STREAM_BGR;
    input.rotation = HF_CAMERA_ROTATION_0;
    long[] stream = new long[1];
    check(HFCreateImageStream(input, stream));
    try {
        HFMultipleFaceData faces = new HFMultipleFaceData();
        check(HFExecuteFaceTrack(session, stream[0], faces));
        for (int i = 0; i < faces.detectedNum; i++) {
            HFaceRect rect = faces.rects[i];
            float confidence = faces.detConfidence.getFloat(i * Float.BYTES);
            System.out.printf("face %d: x=%d y=%d confidence=%.3f%n",
                              i, rect.x, rect.y, confidence);
        }
    } finally {
        HFReleaseImageStream(stream[0]);
    }
}