• Camera1 源码解析系列（五）—— Camera1 takePicture() 流程解析

    前言

    前面几篇笔记已经把 Camera 控制流的部分梳理得比较清楚了。在 Camera 流程中，还有一个重要的部分，即数据流。
    Camera API 1 中，数据流主要是通过函数回调的方式，依照从下往上的方向，逐层 return 到 Applications 中。
    本篇将数据流与 Camera 的控制流结合起来，从 takePicture() 方法切入，追踪一个比较完整的 Camera 流程。

    1 Open 流程

    Camera Open 的流程，在之前的一篇文章中已经比较详细地描述了。在这里，再关注一下这个流程中 Libraries 和 HAL 层的部分。

    1.1 CameraService.cpp

    • 路径：frameworks/av/services/camera/libcameraservice/CameraService.cpp
    • connect()：
      • 注意这里真正实现逻辑是在 connectHelper() 函数中。
    • connectHelper()：
      • 这个函数实现比较长，截取其中的一段。
      • 首先，如果客户端实例已经存在于 MediaRecorder ，则直接将其取出返回。
      • 若不存在，则先获取 deviceVersion，然后再调用 makeClient() 函数创建一个客户端。
    template<class CALLBACK, class CLIENT>
Status CameraService::connectHelper(const sp<CALLBACK>& cameraCb, const String8& cameraId,
        int api1CameraId, int halVersion, const String16& clientPackageName, int clientUid,
        int clientPid, apiLevel effectiveApiLevel, bool legacyMode, bool shimUpdateOnly,
        /*out*/sp<CLIENT>& device) {
    binder::Status ret = binder::Status::ok();
    ...
        sp<BasicClient> tmp = nullptr;
        if(!(ret = makeClient(this, cameraCb, clientPackageName,
                cameraId, api1CameraId, facing,
                clientPid, clientUid, getpid(), legacyMode,
                halVersion, deviceVersion, effectiveApiLevel,
                /*out*/&tmp)).isOk()) {
            return ret;
        }
        client = static_cast<CLIENT*>(tmp.get());
    ...
    return ret;
}

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    • makeClient()：
      • 主要是根据 API 版本以及 HAL 版本来选择生成具体的 Client 实例。
      • 如果是HAL1 + Camera1，则创建的是CameraClient，如果是HAL3 + Camera1，则创建的是Camera2Client。
    Status CameraService::makeClient(const sp<CameraService>& cameraService,
        const sp<IInterface>& cameraCb, const String16& packageName, const String8& cameraId,
        int api1CameraId, int facing, int clientPid, uid_t clientUid, int servicePid,
        bool legacyMode, int halVersion, int deviceVersion, apiLevel effectiveApiLevel,
        /*out*/sp<BasicClient>* client) {

    if (halVersion < 0 || halVersion == deviceVersion) {
        // Default path: HAL version is unspecified by caller, create CameraClient
        // based on device version reported by the HAL.
        switch(deviceVersion) {
          case CAMERA_DEVICE_API_VERSION_1_0:
            if (effectiveApiLevel == API_1) {  // Camera1 API route
                sp<ICameraClient> tmp = static_cast<ICameraClient*>(cameraCb.get());
                *client = new CameraClient(cameraService, tmp, packageName,
                        api1CameraId, facing, clientPid, clientUid,
                        getpid(), legacyMode);
            } else { // Camera2 API route
                ALOGW("Camera using old HAL version: %d", deviceVersion);
                return STATUS_ERROR_FMT(ERROR_DEPRECATED_HAL,
                        "Camera device \"%s\" HAL version %d does not support camera2 API",
                        cameraId.string(), deviceVersion);
            }
            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:
            if (effectiveApiLevel == API_1) { // Camera1 API route
                sp<ICameraClient> tmp = static_cast<ICameraClient*>(cameraCb.get());
                *client = new Camera2Client(cameraService, tmp, packageName,
                        cameraId, api1CameraId,
                        facing, clientPid, clientUid,
                        servicePid, legacyMode);
            } else { // Camera2 API route
                sp<hardware::camera2::ICameraDeviceCallbacks> tmp =
                        static_cast<hardware::camera2::ICameraDeviceCallbacks*>(cameraCb.get());
                *client = new CameraDeviceClient(cameraService, tmp, packageName, cameraId,
                        facing, clientPid, clientUid, servicePid);
            }
            break;
          default:
            // Should not be reachable
            ALOGE("Unknown camera device HAL version: %d", deviceVersion);
            return STATUS_ERROR_FMT(ERROR_INVALID_OPERATION,
                    "Camera device \"%s\" has unknown HAL version %d",
                    cameraId.string(), deviceVersion);
        }
    } else {
        // A particular HAL version is requested by caller. Create CameraClient
        // based on the requested HAL version.
        if (deviceVersion > CAMERA_DEVICE_API_VERSION_1_0 &&
            halVersion == CAMERA_DEVICE_API_VERSION_1_0) {
            // Only support higher HAL version device opened as HAL1.0 device.
            sp<ICameraClient> tmp = static_cast<ICameraClient*>(cameraCb.get());
            *client = new CameraClient(cameraService, tmp, packageName,
                    api1CameraId, facing, clientPid, clientUid,
                    servicePid, legacyMode);
        } else {
            // Other combinations (e.g. HAL3.x open as HAL2.x) are not supported yet.
            ALOGE("Invalid camera HAL version %x: HAL %x device can only be"
                    " opened as HAL %x device", halVersion, deviceVersion,
                    CAMERA_DEVICE_API_VERSION_1_0);
            return STATUS_ERROR_FMT(ERROR_ILLEGAL_ARGUMENT,
                    "Camera device \"%s\" (HAL version %d) cannot be opened as HAL version %d",
                    cameraId.string(), deviceVersion, halVersion);
        }
    }
    return Status::ok();
}

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    1.2 CameraHardwareInterface.h

    • 路径：frameworks/av/services/camera/libcameraservice/device1/CameraHardwareInterface.h
    • setCallback()：
      • 设置 notify 回调，这用来通知数据已经更新。
      • 设置 data 回调以及 dataTimestamp 回调，对应的是函数指针 mDataCb 与 mDataCvTimestamp 。
      • 注意到，设置 mDevice->ops 对应回调函数时，传入的不是之前设置的函数指针，而是 __data_cb 这样的函数。在该文件中，实现了 __data_cb ，将回调函数做了一层封装。
    /** Set the notification and data callbacks */
void setCallbacks(notify_callback notify_cb,
                  data_callback data_cb,
                  data_callback_timestamp data_cb_timestamp,
                  void* user)
{
    mNotifyCb = notify_cb;
    mDataCb = data_cb;
    mDataCbTimestamp = data_cb_timestamp;
    mCbUser = user;

    ALOGV("%s(%s)", __FUNCTION__, mName.string());

    if (mDevice->ops->set_callbacks) {
        mDevice->ops->set_callbacks(mDevice,
                               __notify_cb,
                               __data_cb,
                               __data_cb_timestamp,
                               __get_memory,
                               this);
    }
}

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    • __data_cb()：
      • 对原 callback 函数简单封装，附加了一个防止数组越界判断。
    static void __data_cb(int32_t msg_type,
                      const camera_memory_t *data, unsigned int index,
                      camera_frame_metadata_t *metadata,
                      void *user)
{
    ALOGV("%s", __FUNCTION__);
    CameraHardwareInterface *__this =
            static_cast<CameraHardwareInterface *>(user);
    sp<CameraHeapMemory> mem(static_cast<CameraHeapMemory *>(data->handle));
    if (index >= mem->mNumBufs) {
        ALOGE("%s: invalid buffer index %d, max allowed is %d", __FUNCTION__,
             index, mem->mNumBufs);
        return;
    }
    __this->mDataCb(msg_type, mem->mBuffers[index], metadata, __this->mCbUser);
}

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    2 控制流

    2.1 Framework

    2.1.1 Camera.java

    • 路径：frameworks/base/core/java/android/hardware/Camera.java
    • takePicture()：
      • 设置快门回调。
      • 设置各种类型的图片数据回调。
      • 调用 JNI takePicture 方法。
      • 注意，传入的参数 msgType 是根据相应 CallBack 是否存在而确定的，每种 Callback 应该对应一个二进制中的数位（如 1，10，100 中 1 的位置），于是这里采用 |= 操作给它赋值。
    public final void takePicture(ShutterCallback shutter, PictureCallback raw,
        PictureCallback postview, PictureCallback jpeg) {
    mShutterCallback = shutter;
    mRawImageCallback = raw;
    mPostviewCallback = postview;
    mJpegCallback = jpeg;

    // If callback is not set, do not send me callbacks.
    int msgType = 0;
    if (mShutterCallback != null) {
        msgType |= CAMERA_MSG_SHUTTER;
    }
    if (mRawImageCallback != null) {
        msgType |= CAMERA_MSG_RAW_IMAGE;
    }
    if (mPostviewCallback != null) {
        msgType |= CAMERA_MSG_POSTVIEW_FRAME;
    }
    if (mJpegCallback != null) {
        msgType |= CAMERA_MSG_COMPRESSED_IMAGE;
    }

    native_takePicture(msgType);
    mFaceDetectionRunning = false;
}

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    2.2 Android Runtime

    2.2.1 android_hardware_Camera.cpp

    • 路径：frameworks/base/core/jni/android_hardware_Camera.cpp
      • takePicture()：
      • 获取已经打开的 camera 实例，调用其 takePicture() 接口。
      • 注意，在这个函数中，对于 RAW_IMAGE 有一些附加操作：
        • 如果设置了 RAW 的 callback ，则要检查上下文中，是否能找到对应 Buffer。
        • 若无法找到 Buffer ，则将 CAMERA_MSG_RAW_IMAGE 的信息去掉，换成 CAMERA_MSG_RAW_IMAGE_NOTIFY。
        • 替换后，就只会获得 notification 的消息，而没有对应的图像数据。
    static void android_hardware_Camera_takePicture(JNIEnv *env, jobject thiz, jint msgType)
{
    ALOGV("takePicture");
    JNICameraContext* context;
    sp<Camera> camera = get_native_camera(env, thiz, &context);
    if (camera == 0) return;

    /*
     * When CAMERA_MSG_RAW_IMAGE is requested, if the raw image callback
     * buffer is available, CAMERA_MSG_RAW_IMAGE is enabled to get the
     * notification _and_ the data; otherwise, CAMERA_MSG_RAW_IMAGE_NOTIFY
     * is enabled to receive the callback notification but no data.
     *
     * Note that CAMERA_MSG_RAW_IMAGE_NOTIFY is not exposed to the
     * Java application.
     */
    if (msgType & CAMERA_MSG_RAW_IMAGE) {
        ALOGV("Enable raw image callback buffer");
        if (!context->isRawImageCallbackBufferAvailable()) {
            ALOGV("Enable raw image notification, since no callback buffer exists");
            msgType &= ~CAMERA_MSG_RAW_IMAGE;
            msgType |= CAMERA_MSG_RAW_IMAGE_NOTIFY;
        }
    }

    if (camera->takePicture(msgType) != NO_ERROR) {
        jniThrowRuntimeException(env, "takePicture failed");
        return;
    }
}

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    2.3 C/C++ Libraries

    2.3.1 Camera.cpp

    • 路径：frameworks/av/camera/Camera.cpp
    • takePicture()：
      • 获取一个 ICamera，调用其 takePicture 接口。
    // take a picture
status_t Camera::takePicture(int msgType)
{
    ALOGV("takePicture: 0x%x", msgType);
    sp <::android::hardware::ICamera> c = mCamera;
    if (c == 0) return NO_INIT;
    return c->takePicture(msgType);
}

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    2.3.2 ICamera.cpp

    • 路径：frameworks/av/camera/ICamera.cpp
    • takePicture()：
      • 利用 Binder 机制发送相应指令到服务端。
      • 如果是 HAL1 + Camera1，实际调用到的是 CameraClient::takePicture() 函数。
      • 如果是 HAL3 + Camera1，实际调用到的是 Camera2Client::takePicture() 函数。
    // take a picture - returns an IMemory (ref-counted mmap)
status_t takePicture(int msgType)
{
    ALOGV("takePicture: 0x%x", msgType);
    Parcel data, reply;
    data.writeInterfaceToken(ICamera::getInterfaceDescriptor());
    data.writeInt32(msgType);
    remote()->transact(TAKE_PICTURE, data, &reply);
    status_t ret = reply.readInt32();
    return ret;
}

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    2.3.3 CameraClient.cpp

    • 路径：frameworks/av/services/camera/libcameraservice/api1/CameraClient.cpp
    • takePicture()：
      • 注意，CAMERA_MSG_RAW_IMAGE 指令与 CAMERA_MSG_RAW_IMAGE_NOTIFY 指令不能同时有效，需要进行对应的检查。
      • 对传入的指令过滤，只留下与 takePicture() 操作相关的。
      • 调用 CameraHardwareInterface 中的 takePicture() 接口。
    // take a picture - image is returned in callback
status_t CameraClient::takePicture(int msgType) {
    LOG1("takePicture (pid %d): 0x%x", getCallingPid(), msgType);

    Mutex::Autolock lock(mLock);
    status_t result = checkPidAndHardware();
    if (result != NO_ERROR) return result;

    if ((msgType & CAMERA_MSG_RAW_IMAGE) &&
        (msgType & CAMERA_MSG_RAW_IMAGE_NOTIFY)) {
        ALOGE("CAMERA_MSG_RAW_IMAGE and CAMERA_MSG_RAW_IMAGE_NOTIFY"
                " cannot be both enabled");
        return BAD_VALUE;
    }

    // We only accept picture related message types
    // and ignore other types of messages for takePicture().
    int picMsgType = msgType
                        & (CAMERA_MSG_SHUTTER |
                           CAMERA_MSG_POSTVIEW_FRAME |
                           CAMERA_MSG_RAW_IMAGE |
                           CAMERA_MSG_RAW_IMAGE_NOTIFY |
                           CAMERA_MSG_COMPRESSED_IMAGE);

    enableMsgType(picMsgType);

    return mHardware->takePicture();
}

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    2.3.4 Camera2Client.cpp

    • 路径：frameworks/av/services/camera/libcameraservice/api1/Camera2Client.cpp
    • takePicture()：
      • 调用了 mCaptureSequencer->startCapture()。
    status_t Camera2Client::takePicture(int msgType) {
    ATRACE_CALL();
    Mutex::Autolock icl(mBinderSerializationLock);
    status_t res;
    if ( (res = checkPid(__FUNCTION__) ) != OK) return res;
    {
        SharedParameters::Lock l(mParameters);
        switch (l.mParameters.state) {
            case Parameters::DISCONNECTED:
            case Parameters::STOPPED:
            case Parameters::WAITING_FOR_PREVIEW_WINDOW:
                ALOGE("%s: Camera %d: Cannot take picture without preview enabled",
                        __FUNCTION__, mCameraId);
                return INVALID_OPERATION;
            case Parameters::PREVIEW:
                // Good to go for takePicture
                res = commandStopFaceDetectionL(l.mParameters);
                if (res != OK) {
                    ALOGE("%s: Camera %d: Unable to stop face detection for still capture",
                            __FUNCTION__, mCameraId);
                    return res;
                }
                l.mParameters.state = Parameters::STILL_CAPTURE;
                break;
            case Parameters::RECORD:
                // Good to go for video snapshot
                l.mParameters.state = Parameters::VIDEO_SNAPSHOT;
                break;
            case Parameters::STILL_CAPTURE:
            case Parameters::VIDEO_SNAPSHOT:
                ALOGE("%s: Camera %d: Already taking a picture",
                        __FUNCTION__, mCameraId);
                return INVALID_OPERATION;
        }
        ALOGV("%s: Camera %d: Starting picture capture", __FUNCTION__, mCameraId);
        res = updateProcessorStream(mJpegProcessor, l.mParameters);
        if (res != OK) {
            ALOGE("%s: Camera %d: Can't set up still image stream: %s (%d)",
                    __FUNCTION__, mCameraId, strerror(-res), res);
            return res;
        }
    }
    // Need HAL to have correct settings before (possibly) triggering precapture
    syncWithDevice();
    res = mCaptureSequencer->startCapture(msgType);
    if (res != OK) {
        ALOGE("%s: Camera %d: Unable to start capture: %s (%d)",
                __FUNCTION__, mCameraId, strerror(-res), res);
    }
    return res;
}

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    2.3.4.1 CaptureSequencer.cpp

    • 路径：frameworks/av/services/camera/libcameraservice/api1/client2/CaptureSequencer.cpp
    • startCapture()：
      • 这里 mStartCaptureSignal.signal() 会激活 mStartCaptureSignal 条件。
    status_t CaptureSequencer::startCapture(int msgType) {
    ALOGV("%s", __FUNCTION__);
    ATRACE_CALL();
    Mutex::Autolock l(mInputMutex);
    if (mBusy) {
        ALOGE("%s: Already busy capturing!", __FUNCTION__);
        return INVALID_OPERATION;
    }
    if (!mStartCapture) {
        mMsgType = msgType;
        mStartCapture = true;
        mStartCaptureSignal.signal();
    }
    return OK;
}

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    CaptureSequencer 模块是 take picture 操作的重点，在 Camera2Client 中进行了创建，首先来看 CaptureSequencer 线程的 threadLoop 函数：

    bool CaptureSequencer::threadLoop() {
 
    sp<Camera2Client> client = mClient.promote();
    if (client == 0) return false;
 
    CaptureState currentState;
    {
        Mutex::Autolock l(mStateMutex);
        currentState = mCaptureState;
    }
 
    currentState = (this->*kStateManagers[currentState])(client);
 
    Mutex::Autolock l(mStateMutex);
    if (currentState != mCaptureState) {
        if (mCaptureState != IDLE) {
            ATRACE_ASYNC_END(kStateNames[mCaptureState], mStateTransitionCount);
        }
        mCaptureState = currentState;//保留新的状态
        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 == ERROR) {
        ALOGE("Camera %d: Stopping capture sequencer due to error",
                client->getCameraId());
        return false;
    }
 
    return true;
}

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    CaptureSequencer 是一个以不同的 state 状态机来循环工作的模块， currentState = (this->*kStateManagers[currentState])(client) 函数是执行对应状态机下的执行函数，其中的 state 值如下：

    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::manageBurstCaptureStart,
    &CaptureSequencer::manageBurstCaptureWait,
    &CaptureSequencer::manageDone,
};

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    我们以一个 standard capture 的操作模式，来分析一次 take picture 的过程。初始化的 mCaptureState(IDLE)，进入的函数入口为 manageIdle：

    CaptureSequencer::CaptureState CaptureSequencer::manageIdle(
        sp<Camera2Client> &/*client*/) {
    status_t res;
    Mutex::Autolock l(mInputMutex);
    while (!mStartCapture) {
        res = mStartCaptureSignal.waitRelative(mInputMutex,
                kWaitDuration);
        if (res == TIMED_OUT) break;
    }
    if (mStartCapture) {
        mStartCapture = false;
        mBusy = true;
        return START;
    }
    return IDLE;
}

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    函数主要在轮询 mStartCapture 的值，这个值是由上面提到的 mStartCaptureSignal.signal() 来启动的，Threadloop 线程被唤醒后，执行返回一个新的状态机 mCaptureState = START，然后触发下面的状态机处理方法：

    • manageStart()：
    CaptureSequencer::CaptureState CaptureSequencer::manageStart(
        sp<Camera2Client> &client) {
    ALOGV("%s", __FUNCTION__);
    status_t res;
    ATRACE_CALL();
    SharedParameters::Lock l(client->getParameters());
    CaptureState nextState = DONE;
    //下面这个方法就是用来创建拍照的metadata的接口。
    res = updateCaptureRequest(l.mParameters, client);
    //连拍模式状态机
    if(l.mParameters.lightFx != Parameters::LIGHTFX_NONE &&
            l.mParameters.state == Parameters::STILL_CAPTURE) {
        nextState = BURST_CAPTURE_START;
    }
    else if (l.mParameters.zslMode &&
            l.mParameters.state == Parameters::STILL_CAPTURE &&
            l.mParameters.flashMode != Parameters::FLASH_MODE_ON) {//ZSL拍照模式，注意ZSL是不开闪光灯的。
        nextState = ZSL_START;
    } else {　//正常模式－静态拍照
        nextState = STANDARD_START;
    }
    mShutterNotified = false;

    return nextState;
}

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    下面我们先分析 STANDARD_START （正常模式－静态拍照）的状态机情况。

    • manageStandardStart()：
    CaptureSequencer::CaptureState CaptureSequencer::manageStandardStart(
        sp<Camera2Client> &client) {
    ATRACE_CALL();

    bool isAeConverged = false;
    // Get the onFrameAvailable callback when the requestID == mCaptureId
    // We don't want to get partial results for normal capture, as we need
    // Get ANDROID_SENSOR_TIMESTAMP from the capture result, but partial
    // result doesn't have to have this metadata available.
    // TODO: Update to use the HALv3 shutter notification for remove the
    // need for this listener and make it faster. see bug 12530628.
    client->registerFrameListener(mCaptureId, mCaptureId + 1,
            this,
            /*sendPartials*/false);
    {
        Mutex::Autolock l(mInputMutex);
        isAeConverged = (mAEState == ANDROID_CONTROL_AE_STATE_CONVERGED);
    }
    {
        SharedParameters::Lock l(client->getParameters());
        // Skip AE precapture when it is already converged and not in force flash mode.
        if (l.mParameters.flashMode != Parameters::FLASH_MODE_ON && isAeConverged) {
            return STANDARD_CAPTURE;
        }

        mTriggerId = l.mParameters.precaptureTriggerCounter++;
    }
    client->getCameraDevice()->triggerPrecaptureMetering(mTriggerId);

    mAeInPrecapture = false;
    mTimeoutCount = kMaxTimeoutsForPrecaptureStart;
    return STANDARD_PRECAPTURE_WAIT;
}

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    • 上面的方法做了这几件事：
      • 注册拍照图片可用监听对象
      • 判断当前 AE（自动曝光）状态是否收敛，如果收敛了，拍照状态机为 STANDARD_CAPTURE。如果 AE 已经收敛那么拍照状态机就是 STANDARD_PRECAPTURE_WAIT，就会下发 AE 收敛消息，等待 HAL AE 收敛完成。
    • manageStandardCapture()：
      • 这里 client->getCameraDevice()->capture() 会在 Camera3Device 中根据 metadata 中的数据，创建请求，并将请求发送给 HAL，后面的流程会在下一节 HAL 中分析。
    CaptureSequencer::CaptureState CaptureSequencer::manageStandardCapture(
        sp<Camera2Client> &client) {
    status_t res;
    ATRACE_CALL();
    SharedParameters::Lock l(client->getParameters());
    Vector<int32_t> outputStreams;
    uint8_t captureIntent = static_cast<uint8_t>(ANDROID_CONTROL_CAPTURE_INTENT_STILL_CAPTURE);

    /**
     * Set up output streams in the request
     *  - preview
     *  - capture/jpeg
     *  - callback (if preview callbacks enabled)
     *  - recording (if recording enabled)
     */
     //下面默认会将preview和capture流id保存到临时数组outputStreams中。
    outputStreams.push(client->getPreviewStreamId());
    outputStreams.push(client->getCaptureStreamId());

    if (l.mParameters.previewCallbackFlags &
            CAMERA_FRAME_CALLBACK_FLAG_ENABLE_MASK) {
        outputStreams.push(client->getCallbackStreamId());
    }
　　//这里如果是video_snapshot模式，则会修改捕获意图为ANDROID_CONTROL_CAPTURE_INTENT_VIDEO_SNAPSHOT
    if (l.mParameters.state == Parameters::VIDEO_SNAPSHOT) {
        outputStreams.push(client->getRecordingStreamId());
        captureIntent = static_cast<uint8_t>(ANDROID_CONTROL_CAPTURE_INTENT_VIDEO_SNAPSHOT);
    }
　　//将各种需要的流ID,保存到metadata中，为了在Camera3Device中查找到对应流对象。
    res = mCaptureRequest.update(ANDROID_REQUEST_OUTPUT_STREAMS,
            outputStreams);
    if (res == OK) {//保存到请求ID
        res = mCaptureRequest.update(ANDROID_REQUEST_ID,
                &mCaptureId, 1);
    }
    if (res == OK) {//保存捕获意图到metadata中。
        res = mCaptureRequest.update(ANDROID_CONTROL_CAPTURE_INTENT,
                &captureIntent, 1);
    }
    if (res == OK) {
        res = mCaptureRequest.sort();
    }

    if (res != OK) {//如果出问题，拍照结束。一般不会走到这里。
        ALOGE("%s: Camera %d: Unable to set up still capture request: %s (%d)",
                __FUNCTION__, client->getCameraId(), strerror(-res), res);
        return DONE;
    }

    // Create a capture copy since CameraDeviceBase#capture takes ownership
    CameraMetadata captureCopy = mCaptureRequest;
　 //此处省略一些metadata检查代码，不影响分析。
    /**
     * Clear the streaming request for still-capture pictures
     *   (as opposed to i.e. video snapshots)
     */
    if (l.mParameters.state == Parameters::STILL_CAPTURE) {
        // API definition of takePicture() - stop preview before taking pic
        res = client->stopStream();//如果是静态拍照，注意是非ZSL模式，则会停止preview预览流。
        if (res != OK) {
            ALOGE("%s: Camera %d: Unable to stop preview for still capture: "
                    "%s (%d)",
                    __FUNCTION__, client->getCameraId(), strerror(-res), res);
            return DONE;
        }
    }
    // TODO: Capture should be atomic with setStreamingRequest here
    res = client->getCameraDevice()->capture(captureCopy);
    if (res != OK) {
        ALOGE("%s: Camera %d: Unable to submit still image capture request: "
                "%s (%d)",
                __FUNCTION__, client->getCameraId(), strerror(-res), res);
        return DONE;
    }

    mTimeoutCount = kMaxTimeoutsForCaptureEnd;
    return STANDARD_CAPTURE_WAIT;
}

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    • manageStandardCaptureWait()：
    CaptureSequencer::CaptureState CaptureSequencer::manageStandardCaptureWait(
        sp<Camera2Client> &client) {
    status_t res;
    ATRACE_CALL();
    Mutex::Autolock l(mInputMutex);

    // Wait for new metadata result (mNewFrame)
    // 这里mNewFrameReceived在拍照帧没准备好之前为false,一旦拍照帧准备好了，FrameProcessor会回调之前注册的onResultAvailable()方法，在该方法中将mNewFrameReceived设置为true，并激活mNewFrameSignal条件，下面的等待操作就会继续往下走了。
    while (!mNewFrameReceived) {
    　　//这里会等待100ms
        res = mNewFrameSignal.waitRelative(mInputMutex, kWaitDuration);
        if (res == TIMED_OUT) {
            mTimeoutCount--;
            break;
        }
    }

    // Approximation of the shutter being closed
    // - TODO: use the hal3 exposure callback in Camera3Device instead
    //下面是通知shutter事件，即播放拍照音，并将CAMERA_MSG_SHUTTER,CAMERA_MSG_RAW_IMAGE_NOTIFY回传给上层。
    if (mNewFrameReceived && !mShutterNotified) {
        SharedParameters::Lock l(client->getParameters());
        /* warning: this also locks a SharedCameraCallbacks */
        shutterNotifyLocked(l.mParameters, client, mMsgType);
        mShutterNotified = true;//已经通知shutter事件了。
    }

    // Wait until jpeg was captured by JpegProcessor
    //mNewCaptureSignal该条件是在jpeg 图片数据enqueue到bufferqueue时激活的。这里做一下小结
    //这里会用到两个contiion对象mNewFrameSignal和mNewCaptureSignal，其中当hal回传jpeg帧时，会先
    //return buffer即先激活mNewCaptureSignal，才会激活mNewFrameSignal。所以到了下面条件，直接
    //为真。
    while (mNewFrameReceived && !mNewCaptureReceived) {
        res = mNewCaptureSignal.waitRelative(mInputMutex, kWaitDuration);
        if (res == TIMED_OUT) {
            mTimeoutCount--;
            break;
        }
    }
    if (mTimeoutCount <= 0) {
        ALOGW("Timed out waiting for capture to complete");
        return DONE;
    }
    //如果mNewFrameReceived && mNewCaptureReceived为真，说明真的收到jepg帧了。
    if (mNewFrameReceived && mNewCaptureReceived) {
    //这里主要做了２件事情
    //1.检查捕获ID是否一样，否则就直接报错。
    //2.检查事件戳是否正确，这个一般是不会错的。
     
        client->removeFrameListener(mCaptureId, mCaptureId + 1, this);

        mNewFrameReceived = false;
        mNewCaptureReceived = false;
        return DONE;//返回状态机DONE.
    }
    //如果还没准备好，则会继续等待下去，一般发生在等待100ms超时。
    return STANDARD_CAPTURE_WAIT;
}

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    • manageDone()：
    CaptureSequencer::CaptureState CaptureSequencer::manageDone(sp<Camera2Client> &client) {
    status_t res = OK;
    ATRACE_CALL();
    mCaptureId++;
    if (mCaptureId >= Camera2Client::kCaptureRequestIdEnd) {
        mCaptureId = Camera2Client::kCaptureRequestIdStart;
    }
    {
        Mutex::Autolock l(mInputMutex);
        mBusy = false;
    }

    int takePictureCounter = 0;
    {
        SharedParameters::Lock l(client->getParameters());
        switch (l.mParameters.state) {
            case Parameters::DISCONNECTED:
                ALOGW("%s: Camera %d: Discarding image data during shutdown ",
                        __FUNCTION__, client->getCameraId());
                res = INVALID_OPERATION;
                break;
            case Parameters::STILL_CAPTURE:
                res = client->getCameraDevice()->waitUntilDrained();
                if (res != OK) {
                    ALOGE("%s: Camera %d: Can't idle after still capture: "
                            "%s (%d)", __FUNCTION__, client->getCameraId(),
                            strerror(-res), res);
                }
                l.mParameters.state = Parameters::STOPPED;
                break;
            case Parameters::VIDEO_SNAPSHOT:
                l.mParameters.state = Parameters::RECORD;
                break;
            default:
                ALOGE("%s: Camera %d: Still image produced unexpectedly "
                        "in state %s!",
                        __FUNCTION__, client->getCameraId(),
                        Parameters::getStateName(l.mParameters.state));
                res = INVALID_OPERATION;
        }
        takePictureCounter = l.mParameters.takePictureCounter;
    }
    sp<ZslProcessorInterface> processor = mZslProcessor.promote();
    if (processor != 0) {
        ALOGV("%s: Memory optimization, clearing ZSL queue",
              __FUNCTION__);
        processor->clearZslQueue();
    }

    /**
     * Fire the jpegCallback in Camera#takePicture(..., jpegCallback)
     */
    if (mCaptureBuffer != 0 && res == OK) {
        ATRACE_ASYNC_END(Camera2Client::kTakepictureLabel, takePictureCounter);

        Camera2Client::SharedCameraCallbacks::Lock
            l(client->mSharedCameraCallbacks);
        ALOGV("%s: Sending still image to client", __FUNCTION__);
        if (l.mRemoteCallback != 0) {//将图片数据回传到上层，上层会去做一下拷贝。
            l.mRemoteCallback->dataCallback(CAMERA_MSG_COMPRESSED_IMAGE,
                    mCaptureBuffer, NULL);
        } else {
            ALOGV("%s: No client!", __FUNCTION__);
        }
    }
    mCaptureBuffer.clear();

    return IDLE;
}

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    拍照完成，状态机返回到 IDLE。

    2.4 HAL

    这里我们也分两种情况的流程来分析，分别是 CameraClient 和 Camera2Client 调用下来的。

    2.4.1 HAL1 的流程

    2.4.1.1 CameraHardwareInterface.h

    ● 路径：frameworks/av/services/camera/libcameraservice/device1/CameraHardwareInterface.h

    • takePicture()：
      • 通过 mDevice 中设置的函数指针，调用 HAL 层中具体平台对应的 takePicture 操作的实现逻辑。
      • 控制流程到了 HAL 层后，再向 Linux Drivers 发送控制指令，从而使具体的 Camera 设备执行指令，并获取数据。
    /**
 * Take a picture.
 */
status_t takePicture()
{
    ALOGV("%s(%s)", __FUNCTION__, mName.string());
    if (mDevice->ops->take_picture)
        return mDevice->ops->take_picture(mDevice);
    return INVALID_OPERATION;
}

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    2.4.2 HAL3 的流程

    2.4.2.1 Camera3Device.cpp

    • 路径：frameworks/av/services/camera/libcameraservice/device3/Camera3Device.cpp
    • capture()：
      • mRequestThread->queueRequest() 将新的请求放入到队列中。RequestThread 是与 HAL 交互的核心类。
    status_t Camera3Device::capture(CameraMetadata &request) {
    ATRACE_CALL();
    Mutex::Autolock l(mLock);
    // TODO: take ownership of the request
    switch (mStatus) {
        case STATUS_ERROR:
            CLOGE("Device has encountered a serious error");
            return INVALID_OPERATION;
        case STATUS_UNINITIALIZED:
            CLOGE("Device not initialized");
            return INVALID_OPERATION;
        case STATUS_IDLE:
        case STATUS_ACTIVE:
            // OK
            break;
        default:
            SET_ERR_L("Unexpected status: %d", mStatus);
            return INVALID_OPERATION;
    }
    sp<CaptureRequest> newRequest = setUpRequestLocked(request);
    if (newRequest == NULL) {
        CLOGE("Can't create capture request");
        return BAD_VALUE;
    }
    return mRequestThread->queueRequest(newRequest);
}

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    RequestThread 实例是在 Camera3Device::initializeCommonLocked 中创建并 run 起来的，这是 openCamera 的流程。线程 run 起来后就是循环调用 threadLoop 了，用来处理 request 队列。

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    • threadLoop()：
      • mHal3Device->ops->process_capture_request() 发送 request 到 HAL。
      • 函数太长，只截取关键部分。
    bool Camera3Device::RequestThread::threadLoop() {
    status_t res;
    ...
    // Create request to HAL
    camera3_capture_request_t request = camera3_capture_request_t();
    ...
    // Submit request and block until ready for next one
    res = mHal3Device->ops->process_capture_request(mHal3Device, &request);
    if (res != OK) {
        SET_ERR("RequestThread: Unable to submit capture request %d to HAL"
                " device: %s (%d)", request.frame_number, strerror(-res), res);
        cleanUpFailedRequest(request, nextRequest, outputBuffers);
        return false;
    }
    ...
    // Return input buffer back to framework
    if (request.input_buffer != NULL) {
        Camera3Stream *stream =
            Camera3Stream::cast(request.input_buffer->stream);
        res = stream->returnInputBuffer(*(request.input_buffer));
        // Note: stream may be deallocated at this point, if this buffer was the
        // last reference to it.
        if (res != OK) {
            ALOGE("%s: RequestThread: Can't return input buffer for frame %d to"
                    "  its stream:%s (%d)",  __FUNCTION__,
                    request.frame_number, strerror(-res), res);
            // TODO: Report error upstream
        }
    }
    return true;
}

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    3 数据流

    由于数据流是通过 callback 函数实现的，所以探究其流程我们从底层向上层进行分析。同样，我们也分两种情况。

    3.1 HAL1 的流程

    3.1.1 HAL

    3.1.1.1 CameraHardwareInterface.h

    • 路径：frameworks/av/services/camera/libcameraservice/device1/CameraHardwareInterface.h
    • 这里我们只选择 dataCallback 相关流程进行分析。
    • __data_cb()：
      • 该回调函数是在同文件中实现的 setCallbacks() 函数中设置的。
      • Camera 设备获得数据后，就会往上传输，在 HAL 层中会调用到这个回调函数。
      • 通过函数指针 mDataCb 调用从上一层传入的回调，从而将数据上传。
      • 这个 mDataCb 指针对应的，是 CameraClient 类中实现的 dataCallback()。
    static void __data_cb(int32_t msg_type,
                      const camera_memory_t *data, unsigned int index,
                      camera_frame_metadata_t *metadata,
                      void *user)
{
    ALOGV("%s", __FUNCTION__);
    CameraHardwareInterface *__this =
            static_cast<CameraHardwareInterface *>(user);
    sp<CameraHeapMemory> mem(static_cast<CameraHeapMemory *>(data->handle));
    if (index >= mem->mNumBufs) {
        ALOGE("%s: invalid buffer index %d, max allowed is %d", __FUNCTION__,
             index, mem->mNumBufs);
        return;
    }
    __this->mDataCb(msg_type, mem->mBuffers[index], metadata, __this->mCbUser);
}

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    3.1.2 C/C++ Libraries

    3.1.2.1 CameraClient.cpp

    • 路径：frameworks/av/services/camera/libcameraservice/api1/CameraClient.cpp
    • dataCallback()：
      • 这个回调在该文件实现的 initialize() 函数中设置到 CameraHardwareInterface 中。
      • 启动这个回调后，就从 Cookie 中获取已连接的客户端。
      • 根据 msgType，启动对应的 handle 操作。
      • 选择其中一个分支的 handle 函数来看。
    void CameraClient::dataCallback(int32_t msgType,
        const sp<IMemory>& dataPtr, camera_frame_metadata_t *metadata, void* user) {
    LOG2("dataCallback(%d)", msgType);

    sp<CameraClient> client = static_cast<CameraClient*>(getClientFromCookie(user).get());
    if (client.get() == nullptr) return;

    if (!client->lockIfMessageWanted(msgType)) return;
    if (dataPtr == 0 && metadata == NULL) {
        ALOGE("Null data returned in data callback");
        client->handleGenericNotify(CAMERA_MSG_ERROR, UNKNOWN_ERROR, 0);
        return;
    }

    switch (msgType & ~CAMERA_MSG_PREVIEW_METADATA) {
        case CAMERA_MSG_PREVIEW_FRAME:
            client->handlePreviewData(msgType, dataPtr, metadata);
            break;
        case CAMERA_MSG_POSTVIEW_FRAME:
            client->handlePostview(dataPtr);
            break;
        case CAMERA_MSG_RAW_IMAGE:
            client->handleRawPicture(dataPtr);
            break;
        case CAMERA_MSG_COMPRESSED_IMAGE:
            client->handleCompressedPicture(dataPtr);
            break;
        default:
            client->handleGenericData(msgType, dataPtr, metadata);
            break;
    }
}

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    • handleRawPicture()：
      • 在 open 流程中，connect() 函数调用时，mRemoteCallback 已经设置为一个客户端实例，其对应的是 ICameraClient 的强指针。
      • 通过这个实例，这里基于 Binder 机制来启动客户端的 dataCallback。
      • 客户端的 dataCallback 是实现在 Camera 类中。
    // picture callback - raw image ready
void CameraClient::handleRawPicture(const sp<IMemory>& mem) {
    disableMsgType(CAMERA_MSG_RAW_IMAGE);

    ssize_t offset;
    size_t size;
    sp<IMemoryHeap> heap = mem->getMemory(&offset, &size);

    sp<hardware::ICameraClient> c = mRemoteCallback;
    mLock.unlock();
    if (c != 0) {
        c->dataCallback(CAMERA_MSG_RAW_IMAGE, mem, NULL);
    }
}

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    3.1.2.2 Camera.cpp

    • 路径：frameworks/av/camera/Camera.cpp
    • dataCallback()：
      • 调用 CameraListener 的 postData 接口，将数据继续向上传输。
      • postData 接口的实现是在 android_hardware_Camera.cpp 中。
    // callback from camera service when frame or image is ready
void Camera::dataCallback(int32_t msgType, const sp<IMemory>& dataPtr,
                          camera_frame_metadata_t *metadata)
{
    sp<CameraListener> listener;
    {
        Mutex::Autolock _l(mLock);
        listener = mListener;
    }
    if (listener != NULL) {
        listener->postData(msgType, dataPtr, metadata);
    }
}

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    3.1.3 Android Runtime

    3.1.3.1 android_hardware_Camera.cpp

    • 路径：frameworks/base/core/jni/android_hardware_Camera.cpp
    • postData()：
      • 是 JNICameraContext 类的成员函数，该类继承了 CameraListener。
      • 首先获取虚拟机指针。
      • 然后过滤掉 CAMERA_MSG_PREVIEW_METADATA 信息。
      • 进入分支处理。
      • 对于数据传输路径，关键是在于 copyAndPost() 函数。
    void JNICameraContext::postData(int32_t msgType, const sp<IMemory>& dataPtr,
                                camera_frame_metadata_t *metadata)
{
    // VM pointer will be NULL if object is released
    Mutex::Autolock _l(mLock);
    JNIEnv *env = AndroidRuntime::getJNIEnv();
    if (mCameraJObjectWeak == NULL) {
        ALOGW("callback on dead camera object");
        return;
    }

    int32_t dataMsgType = msgType & ~CAMERA_MSG_PREVIEW_METADATA;

    // return data based on callback type
    switch (dataMsgType) {
        case CAMERA_MSG_VIDEO_FRAME:
            // should never happen
            break;

        // For backward-compatibility purpose, if there is no callback
        // buffer for raw image, the callback returns null.
        case CAMERA_MSG_RAW_IMAGE:
            ALOGV("rawCallback");
            if (mRawImageCallbackBuffers.isEmpty()) {
                env->CallStaticVoidMethod(mCameraJClass, fields.post_event,
                        mCameraJObjectWeak, dataMsgType, 0, 0, NULL);
            } else {
                copyAndPost(env, dataPtr, dataMsgType);
            }
            break;

        // There is no data.
        case 0:
            break;

        default:
            ALOGV("dataCallback(%d, %p)", dataMsgType, dataPtr.get());
            copyAndPost(env, dataPtr, dataMsgType);
            break;
    }

    // post frame metadata to Java
    if (metadata && (msgType & CAMERA_MSG_PREVIEW_METADATA)) {
        postMetadata(env, CAMERA_MSG_PREVIEW_METADATA, metadata);
    }
}

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    • copyAndPost()：
      • 首先确认 Memory 中数据是否存在。
      • 申请 Java 字节数组 (jbyteArray, jbyte*)，并将 Memory 数据赋予到其中。
      • 重点是这个函数：
        • env->CallStaticVoidMethod(mCameraJClass, fields.post_event, mCameraJObjectWeak, msgType, 0, 0, obj);
        • 它的功能是将图像传给 Java 端。
        • 通过字段 post_event，在 c++ 中调用 Java 的方法，并传入对应的参数。
        • 最终调用到 Java 端的 postEventFromNative() 方法。
    void JNICameraContext::copyAndPost(JNIEnv* env, const sp<IMemory>& dataPtr, int msgType)
{
    jbyteArray obj = NULL;

    // allocate Java byte array and copy data
    if (dataPtr != NULL) {
        ssize_t offset;
        size_t size;
        sp<IMemoryHeap> heap = dataPtr->getMemory(&offset, &size);
        ALOGV("copyAndPost: off=%zd, size=%zu", offset, size);
        uint8_t *heapBase = (uint8_t*)heap->base();

        if (heapBase != NULL) {
            const jbyte* data = reinterpret_cast<const jbyte*>(heapBase + offset);

            if (msgType == CAMERA_MSG_RAW_IMAGE) {
                obj = getCallbackBuffer(env, &mRawImageCallbackBuffers, size);
            } else if (msgType == CAMERA_MSG_PREVIEW_FRAME && mManualBufferMode) {
                obj = getCallbackBuffer(env, &mCallbackBuffers, size);

                if (mCallbackBuffers.isEmpty()) {
                    ALOGV("Out of buffers, clearing callback!");
                    mCamera->setPreviewCallbackFlags(CAMERA_FRAME_CALLBACK_FLAG_NOOP);
                    mManualCameraCallbackSet = false;

                    if (obj == NULL) {
                        return;
                    }
                }
            } else {
                ALOGV("Allocating callback buffer");
                obj = env->NewByteArray(size);
            }

            if (obj == NULL) {
                ALOGE("Couldn't allocate byte array for JPEG data");
                env->ExceptionClear();
            } else {
                env->SetByteArrayRegion(obj, 0, size, data);
            }
        } else {
            ALOGE("image heap is NULL");
        }
    }

    // post image data to Java
    env->CallStaticVoidMethod(mCameraJClass, fields.post_event,
            mCameraJObjectWeak, msgType, 0, 0, obj);
    if (obj) {
        env->DeleteLocalRef(obj);
    }
}

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    3.1.4 Framework

    3.1.4.1 Camera.java

    • 路径：frameworks/base/core/java/android/hardware/Camera.java
    • 以下两个方法都是 EventHandler 的成员，这个类继承了 Handler 类。
    • postEventFromNative()：
      • 首先确定 Camera 是否已经实例化。
      • 确认后，通过 Camera 的成员 mEventHandler 的 obtainMessage 方法将从 Native 环境中获得的数据封装成 Message 类的一个实例，然后调用 sendMessage() 方法将数据传出。
    private static void postEventFromNative(Object camera_ref,
                                        int what, int arg1, int arg2, Object obj)
{
    Camera c = (Camera)((WeakReference)camera_ref).get();
    if (c == null)
        return;

    if (c.mEventHandler != null) {
        Message m = c.mEventHandler.obtainMessage(what, arg1, arg2, obj);
        c.mEventHandler.sendMessage(m);
    }
}

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    • handleMessage()：
      • sendMessage() 方法传出的数据会通过这个方法作出处理，从而发送到对应的回调类中。
      • 注意到几个不同的回调类（mRawImageCallback、mJpegCallback 等）中都有 onPictureTaken() 方法，通过调用这个方法，底层传输到此的数据最终发送到最上层的 Android 应用中，上层应用通过解析 Message 就可以得到拍到的图像，从而得以进行后续的操作。
    @Override
public void handleMessage(Message msg) {
    switch(msg.what) {
    case CAMERA_MSG_SHUTTER:
        if (mShutterCallback != null) {
            mShutterCallback.onShutter();
        }
        return;

    case CAMERA_MSG_RAW_IMAGE:
        if (mRawImageCallback != null) {
            mRawImageCallback.onPictureTaken((byte[])msg.obj, mCamera);
        }
        return;

    case CAMERA_MSG_COMPRESSED_IMAGE:
        if (mJpegCallback != null) {
            mJpegCallback.onPictureTaken((byte[])msg.obj, mCamera);
        }
        return;

    case CAMERA_MSG_PREVIEW_FRAME:
        PreviewCallback pCb = mPreviewCallback;
        if (pCb != null) {
            if (mOneShot) {
                // Clear the callback variable before the callback
                // in case the app calls setPreviewCallback from
                // the callback function
                mPreviewCallback = null;
            } else if (!mWithBuffer) {
                // We're faking the camera preview mode to prevent
                // the app from being flooded with preview frames.
                // Set to oneshot mode again.
                setHasPreviewCallback(true, false);
            }
            pCb.onPreviewFrame((byte[])msg.obj, mCamera);
        }
        return;

    case CAMERA_MSG_POSTVIEW_FRAME:
        if (mPostviewCallback != null) {
            mPostviewCallback.onPictureTaken((byte[])msg.obj, mCamera);
        }
        return;

    case CAMERA_MSG_FOCUS:
        AutoFocusCallback cb = null;
        synchronized (mAutoFocusCallbackLock) {
            cb = mAutoFocusCallback;
        }
        if (cb != null) {
            boolean success = msg.arg1 == 0 ? false : true;
            cb.onAutoFocus(success, mCamera);
        }
        return;

    case CAMERA_MSG_ZOOM:
        if (mZoomListener != null) {
            mZoomListener.onZoomChange(msg.arg1, msg.arg2 != 0, mCamera);
        }
        return;

    case CAMERA_MSG_PREVIEW_METADATA:
        if (mFaceListener != null) {
            mFaceListener.onFaceDetection((Face[])msg.obj, mCamera);
        }
        return;

    case CAMERA_MSG_ERROR :
        Log.e(TAG, "Error " + msg.arg1);
        if (mErrorCallback != null) {
            mErrorCallback.onError(msg.arg1, mCamera);
        }
        return;

    case CAMERA_MSG_FOCUS_MOVE:
        if (mAutoFocusMoveCallback != null) {
            mAutoFocusMoveCallback.onAutoFocusMoving(msg.arg1 == 0 ? false : true, mCamera);
        }
        return;

    default:
        Log.e(TAG, "Unknown message type " + msg.what);
        return;
    }
}

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    3.2 HAL3 的流程

    HAL3 的流程中，与 TakePicture 紧密相关的主要有4个线程 CaptureSequencer，JpegProcessor，Camera3Device::RequestThread，FrameProcessorBase。在 Camera2client 对象初始化后，已经有３个线程已经 run 起来了，还有一个 RequestThread 线程是在 Camera3Device 初始化时创建的。下面我们就按照线程来分析。

    3.2.1 FrameProcessor

    3.2.1.1 Camera3Device.cpp

    • 路径：frameworks/av/services/camera/libcameraservice/device3/Camera3Device.cpp
    • processCaptureResult()：
      • 当 HAL callback 回来数据时会触发 mResultSignal.signal() ，通知 waitForNextFrame() 方法条件发生变化。
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    void Camera3Device::processCaptureResult(const camera3_capture_result *result) {
    ATRACE_CALL();
    status_t res;
    uint32_t frameNumber = result->frame_number;
    if (result->result == NULL && result->num_output_buffers == 0) {
        SET_ERR("No result data provided by HAL for frame %d",
                frameNumber);
        return;
    }
    ...
    // Return completed buffers to their streams with the timestamp
    for (size_t i = 0; i < result->num_output_buffers; i++) {
        Camera3Stream *stream =
                Camera3Stream::cast(result->output_buffers[i].stream);
        res = stream->returnBuffer(result->output_buffers[i], timestamp);
        // Note: stream may be deallocated at this point, if this buffer was the
        // last reference to it.
        if (res != OK) {
            SET_ERR("Can't return buffer %d for frame %d to its stream: "
                    " %s (%d)", i, frameNumber, strerror(-res), res);
        }
    }
    // Finally, signal any waiters for new frames
    if (result->result != NULL) {
        mResultSignal.signal();
    }
}

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    • waitForNextFrame()：
      • 当有数据返回时，此方法返回 OK，触发 FrameProcessorBase::threadLoop() 中的操作。
    status_t Camera3Device::waitForNextFrame(nsecs_t timeout) {
    status_t res;
    Mutex::Autolock l(mOutputLock);

    while (mResultQueue.empty()) {
        res = mResultSignal.waitRelative(mOutputLock, timeout);
        if (res == TIMED_OUT) {
            return res;
        } else if (res != OK) {
            ALOGW("%s: Camera %d: No frame in %" PRId64 " ns: %s (%d)",
                    __FUNCTION__, mId, timeout, strerror(-res), res);
            return res;
        }
    }
    return OK;
}

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    3.2.1.2 FrameProcessorBase.cpp

    • 路径：frameworks/av/services/camera/libcameraservice/common/FrameProcessorBase.cpp
    • threadLoop()：
      • 当 waitForNextFrame() 返回 OK 时，会调用 processNewFrames()。
    bool FrameProcessorBase::threadLoop() {
    status_t res;
    sp<CameraDeviceBase> device;
    {
        device = mDevice.promote();
        if (device == 0) return false;
    }

    res = device->waitForNextFrame(kWaitDuration);
    if (res == OK) {
        processNewFrames(device);
    } else if (res != TIMED_OUT) {
        ALOGE("FrameProcessorBase: Error waiting for new "
                "frames: %s (%d)", strerror(-res), res);
    }

    return true;
}

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    • processNewFrames()：
      • 这里会调用 processSingleFrame() 方法。
    void FrameProcessorBase::processNewFrames(const sp<CameraDeviceBase> &device) {
    status_t res;
    ATRACE_CALL();
    CaptureResult result;
　　//从Device对象中获取到result对象，即hal返回来的帧数据。
    while ( (res = device->getNextResult(&result)) == OK) {
        // TODO: instead of getting frame number from metadata, we should read
        // this from result.mResultExtras when CameraDeviceBase interface is fixed.
        camera_metadata_entry_t entry;
        entry = result.mMetadata.find(ANDROID_REQUEST_FRAME_COUNT);
　　　　//此处省略一些错误检查代码，不影响分析代码。
        if (!processSingleFrame(result, device)) {
            break;
        }
    }
    return;
}

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    • processSingleFrame()：
      • 这里会调用 processListeners() 方法。
    bool FrameProcessorBase::processSingleFrame(CaptureResult &result,
                                            const sp<CameraDeviceBase> &device) {
    ALOGV("%s: Camera %d: Process single frame (is empty? %d)",
          __FUNCTION__, device->getId(), result.mMetadata.isEmpty());
    return processListeners(result, device) == OK;
}

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    • processListeners()：
      • 这里会根据 HAL 返回来的数据，查找到 requestId，并根据 requestId 查找到当前帧的监听对象。找到后，就调用了 onResultAvailable() 方法。
    status_t FrameProcessorBase::processListeners(const CaptureResult &result,
        const sp<FrameProducer> &device) {
    ATRACE_CALL();
    camera_metadata_ro_entry_t entry;
    bool isPartialResult =
            result.mResultExtras.partialResultCount < mNumPartialResults;
    entry = result.mMetadata.find(ANDROID_REQUEST_ID);
    if (entry.count == 0) {
        ALOGE("%s: Camera %s: Error reading frame id", __FUNCTION__, device->getId().string());
        return BAD_VALUE;
    }
    int32_t requestId = entry.data.i32[0];
    List<sp<FilteredListener> > listeners;
    {
        Mutex::Autolock l(mInputMutex);
        List<RangeListener>::iterator item = mRangeListeners.begin();
        // Don't deliver partial results to listeners that don't want them
        while (item != mRangeListeners.end()) {
            if (requestId >= item->minId && requestId < item->maxId &&
                    (!isPartialResult || item->sendPartials)) {
                sp<FilteredListener> listener = item->listener.promote();
                if (listener == 0) {
                    item = mRangeListeners.erase(item);
                    continue;
                } else {
                    listeners.push_back(listener);
                }
            }
            item++;
        }
    }
    ALOGV("%s: Camera %s: Got %zu range listeners out of %zu", __FUNCTION__,
          device->getId().string(), listeners.size(), mRangeListeners.size());
    List<sp<FilteredListener> >::iterator item = listeners.begin();
    for (; item != listeners.end(); item++) {
        (*item)->onResultAvailable(result);
    }
    return OK;
}

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    3.2.1.3 CaptureSequencer.cpp

    • 路径：/frameworks/av/services/camera/libcameraservice/api1/client2/CaptureSequencer.cpp
    • onResultAvailable()：
    void CaptureSequencer::onResultAvailable(const CaptureResult &result) {
    ATRACE_CALL();
    ALOGV("%s: New result available.", __FUNCTION__);
    Mutex::Autolock l(mInputMutex);
    mNewFrameId = result.mResultExtras.requestId;
    mNewFrame = result.mMetadata;
    if (!mNewFrameReceived) {
        mNewFrameReceived = true;
        mNewFrameSignal.signal();
    }
}

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    3.2.2 JpegProcessor

    3.2.2.1 JpegProcessor.cpp

    • 路径：/frameworks/av/services/camera/libcameraservice/api1/client2/JpegCompressor.cpp
    • onFrameAvailable()：
      • mCaptureAvailableSignal.signal() 这里激活了 mCaptureAvailableSignal 条件。
    void JpegProcessor::onFrameAvailable(const BufferItem& /*item*/) {
    Mutex::Autolock l(mInputMutex);
    if (!mCaptureAvailable) {
        mCaptureAvailable = true;
        mCaptureAvailableSignal.signal();
    }
}

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    • threadLoop()：
      • 处理线程一直在等待 mCaptureAvailableSignal 条件可用，当满足时会调用 processNewCapture()。
    bool JpegProcessor::threadLoop() {
    status_t res;
    {
        Mutex::Autolock l(mInputMutex);
        while (!mCaptureAvailable) {
        //这里会等待mCaptureAvailableSignal条件100ms,
            res = mCaptureAvailableSignal.waitRelative(mInputMutex,
                    kWaitDuration);
            if (res == TIMED_OUT) return true;
        }
        mCaptureAvailable = false;
    }
    do {
        res = processNewCapture();
    } while (res == OK);

    return true;
}

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    • processNewCapture()：
      • sequencer->onCaptureAvailable() 调用 CaptureSequencer 的 onCaptureAvailable()，同时将 buffer 的时间戳以及 buffer 传进去。
    status_t JpegProcessor::processNewCapture() {
    ATRACE_CALL();
    status_t res;
    sp<Camera2Heap> captureHeap;
    sp<MemoryBase> captureBuffer;

    CpuConsumer::LockedBuffer imgBuffer;
    //由于之前我们创建bufferQueue时，我们只允许有一个buffer，所以
    //下面ACQUIRE buffer操作，获取到的肯定是jpeg图片buffer.
    res = mCaptureConsumer->lockNextBuffer(&imgBuffer);//
    //此处省略部分功能代码，不过不影响分析代码
    //下面mCaptureHeap就是在更新jpeg流的时候创建的一个匿名共享内存，
    // TODO: Optimize this to avoid memcopy
    captureBuffer = new MemoryBase(mCaptureHeap, 0, jpegSize);
    void* captureMemory = mCaptureHeap->getBase();
    //下面将图片数据拷贝到匿名共享内存中
    memcpy(captureMemory, imgBuffer.data, jpegSize);
    //release buffer操作，将buffer归还给bufferQueue.
    mCaptureConsumer->unlockBuffer(imgBuffer);
        sp<CaptureSequencer> sequencer = mSequencer.promote();
    if (sequencer != 0) {
        sequencer->onCaptureAvailable(imgBuffer.timestamp, captureBuffer);
    }
    return OK;
}

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    3.2.2.2 CaptureSequencer.cpp

    • 路径：/frameworks/av/services/camera/libcameraservice/api1/client2/CaptureSequencer.cpp
    • onCaptureAvailable()：
      • 获取当前帧事件戳。
      • 保存当前帧 buffer。
      • 设置 mNewCaptureReceived 标志位为 true。
      • 激活 mNewCaptureSignal 条件，拍照状态机一直会等待这个条件。
    void CaptureSequencer::onCaptureAvailable(nsecs_t timestamp,
        sp<MemoryBase> captureBuffer) {
    ATRACE_CALL();
    ALOGV("%s", __FUNCTION__);
    Mutex::Autolock l(mInputMutex);
    mCaptureTimestamp = timestamp;
    mCaptureBuffer = captureBuffer;
    if (!mNewCaptureReceived) {
        mNewCaptureReceived = true;
        mNewCaptureSignal.signal();
    }
}

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    4 流程简图

    4.1 HAL1 的流程

    流程简图

    4.2 HAL3 的流程

    流程简图
    针对该图有下面几点注意的（ 这里拍照状态机只针对是 STILL_TAKEPICTURE）：

    • 所有事件驱动源都是在 HAL3 回帧动作激活的。当 HAL3 回帧后，会激活 mResultSignal 以及在 onFrameAvailable 激活 mCaptureAvailableSignal 条件。如果没有回帧，所以拍照线程都在阻塞等待状态。
    • STLL_TakePicture 状态机在 standardStart 状态时，会注册一个帧监听对象给 FrameProcessor 线程，如图所示。
    • 在准备抓取拍照帧时，首先要判断 AE 是否收敛，如果没有收敛，要等待 AE 收敛才能进行图片捕获状态。
    • 当进行图片捕获动作后，要阻塞等待拍照数据回传上来。如果等待超时会循环等待下去(100ms为一单位，等待3.5s应用就会报错)。

    5 总结

    在这篇文章中，我们从 Camera.takePicture() 方法着手，联系之前的 Open 流程，将整个 Camera 流程简单地梳理了一遍。不管是控制流还是数据流，都是要通过五大层次依次执行下一步的。控制流是将命令从顶层流向底层，而数据流则是将底层的数据流向顶层。如果要自定义一个对数据进行处理的 C++ 功能库，并将其加入相机中，我们可以通过对 HAL 层进行一些修改，将 RAW 图像流向我们的处理过程，再将处理后的 RAW 图像传回 HAL 层（需要在 HAL 层对 RAW 格式进行一些处理才能把图像上传），最后通过正常的回调流程把图像传到顶层应用中，就可以实现我们的自定义功能了。

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  • 原文地址：https://blog.csdn.net/hello_1995/article/details/126040904