red eye removal

最新推荐文章于 2024-03-24 13:25:39 发布

原创最新推荐文章于 2024-03-24 13:25:39 发布 · 542 阅读

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#user #library #crash #buffer #system

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本文详细介绍了相机软件中实现红眼消除的过程和技术细节。通过分析源代码，展示了从拍摄图片到调用红眼消除算法的具体步骤，包括分辨率限制的原因及处理函数的工作原理。

红眼消除技术：

在picturethread 中，拍完照之后调用：

2205 int CameraHardware::pictureThread()
    2206 {
    ...
    SnapshotPostProcessing (main_out, cap_width, cap_height);
    ...
    }

函数内容如下：

3945 int CameraHardware::SnapshotPostProcessing(void *img_data, int width, int height)
    3946 {
    3947 // do red eye removal
    3948 int img_size;
    3949
    3950 // FIXME:
    3951 // currently, if capture resolution more than 5M, camera will hang if
    3952 // ShRedEye_Remove() is called in 3A library
    3953 // to workaround and make system not crash, maximum resolution for red eye
    3954 // removal is restricted to be 5M
    3955 if (width > 2560 || height > 1920 || awb_to_manual)
    3956 {
    3957 LOGD(" Bug here: picture size must not more than 5M for red eye removal\n");
    3958 return -1;
    3959 }
    3960
    3961 img_size = mCamera->m_frameSize (mPicturePixelFormat, width, height);
    3962
    3963 mAAA->DoRedeyeRemoval (img_data, img_size, width, height, mPicturePixelFormat);
    3964
    3965 return 0;
    3966 }

DoRedeyeRemoval 调用到 libmfldadvci.so 里的函数：

275 void AAAProcess::DoRedeyeRemoval(void *img_buf, int size, int width, int height, int format)
     276 {
     277 Mutex::Autolock lock(mLock);
     278 if(!mInitied)
     279 return;
     280
     281 if(SENSOR_TYPE_RAW == mSensorType)
     282 {
     283 ci_adv_user_buffer user_buf;
     284 switch (format)
     285 {
     286 case V4L2_PIX_FMT_YUV420:
     287 user_buf.format= ci_adv_frame_format_yuv420;
     288 break;
     289 default:
     290 LOGE("%s: not supported foramt in red eye removal", __func__);
     291 return;
     292 }
     293 user_buf.addr = img_buf;
     294 user_buf.width = width;
     295 user_buf.height = height;
     296 user_buf.length = size;
     297 ci_adv_correct_redeyes(&user_buf);
     298 }
     299 }

ci_adv_correct_redeyes 就会调用驱动层的相应处理函数，对图像进行消除红眼处理。