android camera API1调用camera HAL3流程学习总结

从AndroidP 开始,高通camera系统全面使用HAL3,之前的HAL1已经被移除,对应HAL3主流的相机开发接口是camera API2 ,但是依然存在大量的使用Camera API 1开发的相机应用,为此Android专门设计了一套兼容API1调用HAL3的中间转换接口,本门主要从几个方面简要介绍下这部分相关的知识。**

  • opencamera
  • startpreview
  • takepicture
  • setparameter、getparameter

1. opencamera

相机应用在调用

Camera open(int cameraId)

时, 经过Binder IPC进入CameraService.cpp,调用的接口是

CameraService::connectHelper(....){
    ALOGI("CameraService::connect call (PID %d \"%s\", camera ID %s) for HAL version %s and "
           "Camera API version %d");

   ret = makeClient(......))
   
    err = client->initialize(mCameraProviderManager);//重点分析
}

通过makeClient会创建相应的client

Status CameraService::makeClient(.....) {
         ......
        // Default path: HAL version is unspecified by caller, create CameraClient
        // based on device version reported by the HAL.
        switch(deviceVersion) {
             //Android P 之后不再存在CAMERA_DEVICE_API_VERSION_1_0
          case CAMERA_DEVICE_API_VERSION_1_0:
            if (effectiveApiLevel == API_1) {  // Camera1 API route 
                *client = new CameraClient(....),
            } else { // Camera2 API route
            }
            break;
          case CAMERA_DEVICE_API_VERSION_3_0:
          case CAMERA_DEVICE_API_VERSION_3_1:
          case CAMERA_DEVICE_API_VERSION_3_2:
          case CAMERA_DEVICE_API_VERSION_3_3:
          case CAMERA_DEVICE_API_VERSION_3_4:
            //API1+HAL3 对应的client
            if (effectiveApiLevel == API_1) { // Camera1 API route
                *client = new Camera2Client(.....);
            } else { // Camera2 API route
                //API2+HAL3 对应的client
                *client = new CameraDeviceClient(.....);
            }
            break;
          default:
            // Should not be reachable
            ALOGE("Unknown camera device HAL version: %d", deviceVersion);
            .....
        }
}

通过上述代码分析发现API1+HAL3对用的client是Camera2Client
其类图如下:
在这里插入图片描述
从上边看Camera2Client继承实现了ICamera定义的camera API1接口,但是其内部的成员变量mDevice是`Camera3Device 类型,其是针对HAL3设计的,其类的备注如下:

/**
 * CameraDevice for HAL devices with version CAMERA_DEVICE_API_VERSION_3_0 or higher.
 */
class Camera3Device :
            public CameraDeviceBase,
            virtual public hardware::camera::device::V3_2::ICameraDeviceCallback,
            private camera3_callback_ops

Camera3Device类图如下:

在这里插入图片描述
Camera3Device内部类HalInterface中的spmHidlSession成员变量,是在opencamera是获取的对象,之后所有的constructDefaultRequestSettings,configureStreams等操作,都是通过该对象与HAL3进行通信完成的。
下边给出ICameraDeviceSession类图:
在这里插入图片描述
该类是定义在hardware\interfaces\camera\device中,是cameraservice与cameraprovider通信的接口。
下边分析 openCamera具体流程
在这里插入图片描述
从流程图上看,opencamera主要完成了两件事:

  • makeclient 创建camera2client对象及Camera3Device对象
  • 初始化camera2client,真正完成打开相机的地方

    从上述过程看,Camera2Client实现的是Camera API1的接口,在opencamera时,通过Camera3Device中的BpHwCameraDevice类型对象deviceInfo3->mInterface的open方法完成与HAL3通信来打开相机,并该方法返回结果为ICameraDeviceSession类型对象session,表示相机成功打开,之后所有的相机相关操作全是通过该对象完成。

2. startpreview

startPreview时序图如下:
在这里插入图片描述
从上述时序图看,startpreive过程主要有两个过程,

  • configureStreams
  • 将request插入到mRepeatingRequests队列中,并启动RequestThread,向HAL层不断发送processCaptureRequest申请

3. takepicture

开启相机后会启动一个拍照处理线程mCaptureSequencer:

template<typename TProviderPtr>
status_t Camera2Client::initializeImpl(TProviderPtr providerPtr)
{
    ATRACE_CALL();
    ALOGV("%s: Initializing client for camera %d", __FUNCTION__, mCameraId);
    status_t res;

    res = Camera2ClientBase::initialize(providerPtr);
    ...
#ifdef USE_QTI_CAMERA2CLIENT
    mQTICamera2Client = new QTICamera2Client(this);
#endif

    mStreamingProcessor = new StreamingProcessor(this);
    threadName = String8::format("C2-%d-StreamProc",
            mCameraId);

    mFrameProcessor = new FrameProcessor(mDevice, this);
    threadName = String8::format("C2-%d-FrameProc",
            mCameraId);
    mFrameProcessor->run(threadName.string());
    //创建拍照处理线程并启动
    mCaptureSequencer = new CaptureSequencer(this);
    threadName = String8::format("C2-%d-CaptureSeq",
            mCameraId);
    mCaptureSequencer->run(threadName.string());

    mJpegProcessor = new JpegProcessor(this, mCaptureSequencer);
    threadName = String8::format("C2-%d-JpegProc",
            mCameraId);
    mJpegProcessor->run(threadName.string());

#ifdef USE_QTI_CAMERA2CLIENT
    mRawProcessor = new RawProcessor(this, mCaptureSequencer);
    threadName = String8::format("C2-%d-RawProc",
            mCameraId);
    mRawProcessor->run(threadName.string());
#endif

    mZslProcessor = new ZslProcessor(this, mCaptureSequencer);

    threadName = String8::format("C2-%d-ZslProc",
            mCameraId);
    mZslProcessor->run(threadName.string());

    mCallbackProcessor = new CallbackProcessor(this);
    threadName = String8::format("C2-%d-CallbkProc",
            mCameraId);
    mCallbackProcessor->run(threadName.string());
    ...
    return OK;
}

线程中包含有一个状态机,不断检测是否有拍照命令下发,
状态机状态定义如下:

    enum CaptureState {
        IDLE,
        START,
        ZSL_START,
        ZSL_WAITING,
        ZSL_REPROCESSING,
        STANDARD_START,
        STANDARD_PRECAPTURE_WAIT,
        STANDARD_CAPTURE,
        STANDARD_CAPTURE_WAIT,
        DONE,
        ERROR,
        NUM_CAPTURE_STATES
    } mCaptureState;

对应的状态处理函数定义如下:

const CaptureSequencer::StateManager
        CaptureSequencer::kStateManagers[CaptureSequencer::NUM_CAPTURE_STATES-1] = {
    &CaptureSequencer::manageIdle,
    &CaptureSequencer::manageStart,
    &CaptureSequencer::manageZslStart,
    &CaptureSequencer::manageZslWaiting,
    &CaptureSequencer::manageZslReprocessing,
    &CaptureSequencer::manageStandardStart,
    &CaptureSequencer::manageStandardPrecaptureWait,
    &CaptureSequencer::manageStandardCapture,
    &CaptureSequencer::manageStandardCaptureWait,
    &CaptureSequencer::manageDone,
};

在有拍照命令下发时,状态机进入下一状态START,否则一直停留在IDLE状态


bool CaptureSequencer::threadLoop() {

    sp<Camera2Client> client = mClient.promote();
    if (client == 0) return false;

    CaptureState currentState;
    {
        Mutex::Autolock l(mStateMutex);
        currentState = mCaptureState;
    }
    //状态机处理流程
    currentState = (this->*kStateManagers[currentState])(client);

    Mutex::Autolock l(mStateMutex);
    if (currentState != mCaptureState) {
        if (mCaptureState != IDLE) {
            ATRACE_ASYNC_END(kStateNames[mCaptureState], mStateTransitionCount);
        }
        mCaptureState = currentState;
        mStateTransitionCount++;
        if (mCaptureState != IDLE) {
            ATRACE_ASYNC_BEGIN(kStateNames[mCaptureState], mStateTransitionCount);
        }
        ALOGV("Camera %d: New capture state %s",
                client->getCameraId(), kStateNames[mCaptureState]);
        mStateChanged.signal();
    }

    if (mCaptureState == ERRORmanageStart) {
        ALOGE("Camera %d: Stopping capture sequencer due to error",
                client->getCameraId());
        return false;
    }

    return true;
}

状态图如下:
在这里插入图片描述

4. setparameter、getparameter

待续。。。。

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