这几天研究了下andoid4.0.3的FaceDetection这里写一下大致的流程,方便日后查阅。
相关说明可以在这里找到:
frameworks/base/docs/html/guide/topics/media/camera.jd
起始代码可以在camera.jd里找到也可以在
packages/apps/Camera/src/com/android/camera/Camera.java里找到,具体代码我就不说了.
一般起始点是startFaceDetection函数
startFaceDetection函数大致内容如下:
/*Your application must start the face detection function each time you start (or restart) thecamera preview. Create a method for starting face detection so you can call it as needed, as shownin the example code below.*/public void startFaceDetection(){ // Try starting Face Detection .... // start face detection only *after* preview has started if (params.getMaxNumDetectedFaces() > 0){ // camera supports face detection, so can start it: mCamera.startFaceDetection(); }}首先判断硬件是否支持该功能
getMaxNumDetectedFaces函数在
frameworks/base/core/java/android/hardware/Camera.java
内容如下:
/** * Gets the maximum number of detected faces supported. This is the * maximum length of the list returned from [email protected] FaceDetectionListener}. * If the return value is 0, face detection of the specified type is not * supported. * * @return the maximum number of detected face supported by the camera. * @see #startFaceDetection() */ public int getMaxNumDetectedFaces() { return getInt(KEY_MAX_NUM_DETECTED_FACES_HW, 0); }而KEY_MAX_NUM_DETECTED_FACES_HW一般是在HAL层initDefaultParameters函数里设置的,设置如下
p.set(CameraParameters::KEY_MAX_NUM_DETECTED_FACES_HW, "1"); //add by dao set the max face detectctor number
initDefaultParameters里类似这样的代码,其它的我就不贴出来了.mCamera.startFaceDetection();这个是执行的
frameworks/base/core/java/android/hardware/Camera.java里的startFaceDetection函数,内容如下:
/** * Starts the face detection. This should be called after preview is started. * The camera will notify [email protected] FaceDetectionListener} of the detected * faces in the preview frame. The detected faces may be the same as the * previous ones. Applications should call [email protected] #stopFaceDetection} to * stop the face detection. This method is supported if [email protected] * Parameters#getMaxNumDetectedFaces()} returns a number larger than 0. * If the face detection has started, apps should not call this again. * * <p>When the face detection is running, [email protected] Parameters#setWhiteBalance(String)}, * [email protected] Parameters#setFocusAreas(List)}, and [email protected] Parameters#setMeteringAreas(List)} * have no effect. The camera uses the detected faces to do auto-white balance, * auto exposure, and autofocus. * * <p>If the apps call [email protected] #autoFocus(AutoFocusCallback)}, the camera * will stop sending face callbacks. The last face callback indicates the * areas used to do autofocus. After focus completes, face detection will * resume sending face callbacks. If the apps call [email protected] * #cancelAutoFocus()}, the face callbacks will also resume.</p> * * <p>After calling [email protected] #takePicture(Camera.ShutterCallback, Camera.PictureCallback, * Camera.PictureCallback)} or [email protected] #stopPreview()}, and then resuming * preview with [email protected] #startPreview()}, the apps should call this method * again to resume face detection.</p> * * @throws IllegalArgumentException if the face detection is unsupported. * @throws RuntimeException if the method fails or the face detection is * already running. * @see FaceDetectionListener * @see #stopFaceDetection() * @see Parameters#getMaxNumDetectedFaces() */ public final void startFaceDetection() { if (mFaceDetectionRunning) { throw new RuntimeException("Face detection is already running"); } _startFaceDetection(CAMERA_FACE_DETECTION_HW); mFaceDetectionRunning = true; }_startFaceDetection在JNI里,CAMERA_FACE_DETECTION_HW这里初始化值是0在这个文件的开始有定义
在frameworks/base/core/jni/android_hardware_Camera.cpp我们可以找到_startFaceDetection对应的函数:
{ "_startFaceDetection", "(I)V", (void *)android_hardware_Camera_startFaceDetection },对应:android_hardware_Camera_startFaceDetection,内容如下:
static void android_hardware_Camera_startFaceDetection(JNIEnv *env, jobject thiz, jint type){ LOGV("startFaceDetection"); JNICameraContext* context; sp<Camera> camera = get_native_camera(env, thiz, &context); if (camera == 0) return; status_t rc = camera->sendCommand(CAMERA_CMD_START_FACE_DETECTION, type, 0); if (rc == BAD_VALUE) { char msg[64]; snprintf(msg, sizeof(msg), "invalid face detection type=%d", type); jniThrowException(env, "java/lang/IllegalArgumentException", msg); } else if (rc != NO_ERROR) { jniThrowRuntimeException(env, "start face detection failed"); }}这里camera->sendCommand对应
device/samsung/common/s5p/libcamera/SecCameraHWInterface.cpp文件里的sendCommand函数,内容如下
status_t CameraHardwareSec::sendCommand(int32_t command, int32_t arg1, int32_t arg2){ return BAD_VALUE;}到这里调用就结束了。
不同的产家camera的库所存放的目录可能不一样,同时这个函数需要根据具体的要求,进行修改.
资料参考:http://blog.csdn.net/qq69696698/article/details/7325772