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-rw-r--r--camera/OMXCameraAdapter/OMXFD.cpp490
1 files changed, 490 insertions, 0 deletions
diff --git a/camera/OMXCameraAdapter/OMXFD.cpp b/camera/OMXCameraAdapter/OMXFD.cpp
new file mode 100644
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--- /dev/null
+++ b/camera/OMXCameraAdapter/OMXFD.cpp
@@ -0,0 +1,490 @@
+/*
+ * Copyright (C) Texas Instruments - http://www.ti.com/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+/**
+* @file OMXFD.cpp
+*
+* This file contains functionality for handling face detection.
+*
+*/
+
+#undef LOG_TAG
+
+#define LOG_TAG "CameraHAL"
+
+#include "CameraHal.h"
+#include "OMXCameraAdapter.h"
+
+#define FACE_DETECTION_THRESHOLD 80
+
+// constants used for face smooth filtering
+static const int HorizontalFilterThreshold = 40;
+static const int VerticalFilterThreshold = 40;
+static const int HorizontalFaceSizeThreshold = 30;
+static const int VerticalFaceSizeThreshold = 30;
+
+
+namespace android {
+
+status_t OMXCameraAdapter::setParametersFD(const CameraParameters &params,
+ BaseCameraAdapter::AdapterState state)
+{
+ status_t ret = NO_ERROR;
+
+ LOG_FUNCTION_NAME;
+
+ LOG_FUNCTION_NAME_EXIT;
+
+ return ret;
+}
+
+status_t OMXCameraAdapter::startFaceDetection()
+{
+ status_t ret = NO_ERROR;
+
+ Mutex::Autolock lock(mFaceDetectionLock);
+
+ ret = setFaceDetection(true, mDeviceOrientation);
+ if (ret != NO_ERROR) {
+ goto out;
+ }
+
+ if ( mFaceDetectionRunning ) {
+ mFDSwitchAlgoPriority = true;
+ }
+
+ // Note: White balance will not be face prioritized, since
+ // the algorithm needs full frame statistics, and not face
+ // regions alone.
+
+ faceDetectionNumFacesLastOutput = 0;
+ out:
+ return ret;
+}
+
+status_t OMXCameraAdapter::stopFaceDetection()
+{
+ status_t ret = NO_ERROR;
+ const char *str = NULL;
+ BaseCameraAdapter::AdapterState state;
+ BaseCameraAdapter::getState(state);
+
+ Mutex::Autolock lock(mFaceDetectionLock);
+
+ ret = setFaceDetection(false, mDeviceOrientation);
+ if (ret != NO_ERROR) {
+ goto out;
+ }
+
+ // Reset 3A settings
+ ret = setParameters3A(mParams, state);
+ if (ret != NO_ERROR) {
+ goto out;
+ }
+
+ if (mPending3Asettings) {
+ apply3Asettings(mParameters3A);
+ }
+
+ faceDetectionNumFacesLastOutput = 0;
+ out:
+ return ret;
+}
+
+void OMXCameraAdapter::pauseFaceDetection(bool pause)
+{
+ Mutex::Autolock lock(mFaceDetectionLock);
+ // pausing will only take affect if fd is already running
+ if (mFaceDetectionRunning) {
+ mFaceDetectionPaused = pause;
+ faceDetectionNumFacesLastOutput = 0;
+ }
+}
+
+status_t OMXCameraAdapter::setFaceDetection(bool enable, OMX_U32 orientation)
+{
+ status_t ret = NO_ERROR;
+ OMX_ERRORTYPE eError = OMX_ErrorNone;
+ OMX_CONFIG_OBJDETECTIONTYPE objDetection;
+
+ LOG_FUNCTION_NAME;
+
+ if ( OMX_StateInvalid == mComponentState )
+ {
+ CAMHAL_LOGEA("OMX component is in invalid state");
+ ret = -EINVAL;
+ }
+
+ if ( NO_ERROR == ret )
+ {
+ if ( orientation > 270 ) {
+ orientation = 0;
+ }
+
+ OMX_INIT_STRUCT_PTR (&objDetection, OMX_CONFIG_OBJDETECTIONTYPE);
+ objDetection.nPortIndex = mCameraAdapterParameters.mPrevPortIndex;
+ objDetection.nDeviceOrientation = orientation;
+ if ( enable )
+ {
+ objDetection.bEnable = OMX_TRUE;
+ }
+ else
+ {
+ objDetection.bEnable = OMX_FALSE;
+ }
+
+ eError = OMX_SetConfig(mCameraAdapterParameters.mHandleComp,
+ ( OMX_INDEXTYPE ) OMX_IndexConfigImageFaceDetection,
+ &objDetection);
+ if ( OMX_ErrorNone != eError )
+ {
+ CAMHAL_LOGEB("Error while configuring face detection 0x%x", eError);
+ ret = -1;
+ }
+ else
+ {
+ CAMHAL_LOGDA("Face detection configured successfully");
+ }
+ }
+
+ if ( NO_ERROR == ret )
+ {
+ ret = setExtraData(enable, mCameraAdapterParameters.mPrevPortIndex, OMX_FaceDetection);
+
+ if ( NO_ERROR != ret )
+ {
+ CAMHAL_LOGEA("Error while configuring face detection extra data");
+ }
+ else
+ {
+ CAMHAL_LOGDA("Face detection extra data configured successfully");
+ }
+ }
+
+ if ( NO_ERROR == ret )
+ {
+ mFaceDetectionRunning = enable;
+ mFaceDetectionPaused = !enable;
+ }
+
+ LOG_FUNCTION_NAME_EXIT;
+
+ return ret;
+}
+
+status_t OMXCameraAdapter::detectFaces(OMX_BUFFERHEADERTYPE* pBuffHeader,
+ sp<CameraFDResult> &result,
+ size_t previewWidth,
+ size_t previewHeight)
+{
+ status_t ret = NO_ERROR;
+ OMX_ERRORTYPE eError = OMX_ErrorNone;
+ OMX_TI_FACERESULT *faceResult;
+ OMX_OTHER_EXTRADATATYPE *extraData;
+ OMX_FACEDETECTIONTYPE *faceData;
+ OMX_TI_PLATFORMPRIVATE *platformPrivate;
+ camera_frame_metadata_t *faces;
+
+ LOG_FUNCTION_NAME;
+
+ if ( OMX_StateExecuting != mComponentState ) {
+ CAMHAL_LOGEA("OMX component is not in executing state");
+ return NO_INIT;
+ }
+
+ if ( NULL == pBuffHeader ) {
+ CAMHAL_LOGEA("Invalid Buffer header");
+ return-EINVAL;
+ }
+
+ platformPrivate = (OMX_TI_PLATFORMPRIVATE *) (pBuffHeader->pPlatformPrivate);
+ if ( NULL != platformPrivate ) {
+ if ( sizeof(OMX_TI_PLATFORMPRIVATE) == platformPrivate->nSize ) {
+ CAMHAL_LOGVB("Size = %d, sizeof = %d, pAuxBuf = 0x%x, pAuxBufSize= %d, pMetaDataBufer = 0x%x, nMetaDataSize = %d",
+ platformPrivate->nSize,
+ sizeof(OMX_TI_PLATFORMPRIVATE),
+ platformPrivate->pAuxBuf1,
+ platformPrivate->pAuxBufSize1,
+ platformPrivate->pMetaDataBuffer,
+ platformPrivate->nMetaDataSize);
+ } else {
+ CAMHAL_LOGDB("OMX_TI_PLATFORMPRIVATE size mismatch: expected = %d, received = %d",
+ ( unsigned int ) sizeof(OMX_TI_PLATFORMPRIVATE),
+ ( unsigned int ) platformPrivate->nSize);
+ return -EINVAL;
+ }
+ } else {
+ CAMHAL_LOGDA("Invalid OMX_TI_PLATFORMPRIVATE");
+ return-EINVAL;
+ }
+
+
+ if ( 0 >= platformPrivate->nMetaDataSize ) {
+ CAMHAL_LOGDB("OMX_TI_PLATFORMPRIVATE nMetaDataSize is size is %d",
+ ( unsigned int ) platformPrivate->nMetaDataSize);
+ return -EINVAL;
+ }
+
+ extraData = getExtradata((OMX_OTHER_EXTRADATATYPE *) (platformPrivate->pMetaDataBuffer),
+ platformPrivate->nMetaDataSize, (OMX_EXTRADATATYPE)OMX_FaceDetection);
+
+ if ( NULL != extraData ) {
+ CAMHAL_LOGVB("Size = %d, sizeof = %d, eType = 0x%x, nDataSize= %d, nPortIndex = 0x%x, nVersion = 0x%x",
+ extraData->nSize,
+ sizeof(OMX_OTHER_EXTRADATATYPE),
+ extraData->eType,
+ extraData->nDataSize,
+ extraData->nPortIndex,
+ extraData->nVersion);
+ } else {
+ CAMHAL_LOGDA("Invalid OMX_OTHER_EXTRADATATYPE");
+ return -EINVAL;
+ }
+
+ faceData = ( OMX_FACEDETECTIONTYPE * ) extraData->data;
+ if ( NULL != faceData ) {
+ if ( sizeof(OMX_FACEDETECTIONTYPE) == faceData->nSize ) {
+ CAMHAL_LOGVB("Faces detected %d",
+ faceData->ulFaceCount,
+ faceData->nSize,
+ sizeof(OMX_FACEDETECTIONTYPE),
+ faceData->eCameraView,
+ faceData->nPortIndex,
+ faceData->nVersion);
+ } else {
+ CAMHAL_LOGDB("OMX_FACEDETECTIONTYPE size mismatch: expected = %d, received = %d",
+ ( unsigned int ) sizeof(OMX_FACEDETECTIONTYPE),
+ ( unsigned int ) faceData->nSize);
+ return -EINVAL;
+ }
+ } else {
+ CAMHAL_LOGEA("Invalid OMX_FACEDETECTIONTYPE");
+ return -EINVAL;
+ }
+
+ ret = encodeFaceCoordinates(faceData, &faces, previewWidth, previewHeight);
+
+ if ( NO_ERROR == ret ) {
+ result = new CameraFDResult(faces);
+ } else {
+ result.clear();
+ result = NULL;
+ }
+
+ LOG_FUNCTION_NAME_EXIT;
+
+ return ret;
+}
+
+status_t OMXCameraAdapter::encodeFaceCoordinates(const OMX_FACEDETECTIONTYPE *faceData,
+ camera_frame_metadata_t **pFaces,
+ size_t previewWidth,
+ size_t previewHeight)
+{
+ status_t ret = NO_ERROR;
+ camera_face_t *faces;
+ camera_frame_metadata_t *faceResult;
+ size_t hRange, vRange;
+ double tmp;
+
+ LOG_FUNCTION_NAME;
+
+ if ( NULL == faceData ) {
+ CAMHAL_LOGEA("Invalid OMX_FACEDETECTIONTYPE parameter");
+ return EINVAL;
+ }
+
+ LOG_FUNCTION_NAME
+
+ hRange = CameraFDResult::RIGHT - CameraFDResult::LEFT;
+ vRange = CameraFDResult::BOTTOM - CameraFDResult::TOP;
+
+ faceResult = ( camera_frame_metadata_t * ) malloc(sizeof(camera_frame_metadata_t));
+ if ( NULL == faceResult ) {
+ return -ENOMEM;
+ }
+
+ if ( 0 < faceData->ulFaceCount ) {
+ int orient_mult;
+ int trans_left, trans_top, trans_right, trans_bot;
+
+ faces = ( camera_face_t * ) malloc(sizeof(camera_face_t)*faceData->ulFaceCount);
+ if ( NULL == faces ) {
+ return -ENOMEM;
+ }
+
+ /**
+ / * When device is 180 degrees oriented to the sensor, need to translate
+ / * the output from Ducati to what Android expects
+ / * Ducati always gives face coordinates in this form, irrespective of
+ / * rotation, i.e (l,t) always represents the point towards the left eye
+ / * and top of hair.
+ / * (l, t)
+ / * ---------------
+ / * - ,,,,,,, -
+ / * - | | -
+ / * - |<a <a| -
+ / * - (| ^ |) -
+ / * - | -=- | -
+ / * - \_____/ -
+ / * ---------------
+ / * (r, b)
+ / *
+ / * However, Android expects the coords to be in respect with what the
+ / * sensor is viewing, i.e Android expects sensor to see this with (l,t)
+ / * and (r,b) like so:
+ / * (l, t)
+ / * ---------------
+ / * - _____ -
+ / * - / \ -
+ / * - | -=- | -
+ / * - (| ^ |) -
+ / * - |a> a>| -
+ / * - | | -
+ / * - ,,,,,,, -
+ / * ---------------
+ / * (r, b)
+ */
+
+ if (mDeviceOrientation == 180) {
+ orient_mult = -1;
+ trans_left = 2; // right is now left
+ trans_top = 3; // bottom is now top
+ trans_right = 0; // left is now right
+ trans_bot = 1; // top is not bottom
+ } else {
+ orient_mult = 1;
+ trans_left = 0; // left
+ trans_top = 1; // top
+ trans_right = 2; // right
+ trans_bot = 3; // bottom
+ }
+
+ int j = 0, i = 0;
+ for ( ; j < faceData->ulFaceCount ; j++)
+ {
+ OMX_S32 nLeft = 0;
+ OMX_S32 nTop = 0;
+ //Face filtering
+ //For real faces, it is seen that the h/w passes a score >=80
+ //For false faces, we seem to get even a score of 70 sometimes.
+ //In order to avoid any issue at application level, we filter
+ //<=70 score here.
+ if(faceData->tFacePosition[j].nScore <= FACE_DETECTION_THRESHOLD)
+ continue;
+
+ if (mDeviceOrientation == 180) {
+ // from sensor pov, the left pos is the right corner of the face in pov of frame
+ nLeft = faceData->tFacePosition[j].nLeft + faceData->tFacePosition[j].nWidth;
+ nTop = faceData->tFacePosition[j].nTop + faceData->tFacePosition[j].nHeight;
+ } else {
+ nLeft = faceData->tFacePosition[j].nLeft;
+ nTop = faceData->tFacePosition[j].nTop;
+ }
+
+ tmp = ( double ) nLeft / ( double ) previewWidth;
+ tmp *= hRange;
+ tmp -= hRange/2;
+ faces[i].rect[trans_left] = tmp;
+
+ tmp = ( double ) nTop / ( double )previewHeight;
+ tmp *= vRange;
+ tmp -= vRange/2;
+ faces[i].rect[trans_top] = tmp;
+
+ tmp = ( double ) faceData->tFacePosition[j].nWidth / ( double ) previewWidth;
+ tmp *= hRange;
+ tmp *= orient_mult;
+ faces[i].rect[trans_right] = faces[i].rect[trans_left] + tmp;
+
+ tmp = ( double ) faceData->tFacePosition[j].nHeight / ( double ) previewHeight;
+ tmp *= vRange;
+ tmp *= orient_mult;
+ faces[i].rect[trans_bot] = faces[i].rect[trans_top] + tmp;
+
+ faces[i].score = faceData->tFacePosition[j].nScore;
+ faces[i].id = 0;
+ faces[i].left_eye[0] = CameraFDResult::INVALID_DATA;
+ faces[i].left_eye[1] = CameraFDResult::INVALID_DATA;
+ faces[i].right_eye[0] = CameraFDResult::INVALID_DATA;
+ faces[i].right_eye[1] = CameraFDResult::INVALID_DATA;
+ faces[i].mouth[0] = CameraFDResult::INVALID_DATA;
+ faces[i].mouth[1] = CameraFDResult::INVALID_DATA;
+ i++;
+ }
+
+ faceResult->number_of_faces = i;
+ faceResult->faces = faces;
+
+ for (int i = 0; i < faceResult->number_of_faces; i++)
+ {
+ int centerX = (faces[i].rect[trans_left] + faces[i].rect[trans_right] ) / 2;
+ int centerY = (faces[i].rect[trans_top] + faces[i].rect[trans_bot] ) / 2;
+
+ int sizeX = (faces[i].rect[trans_right] - faces[i].rect[trans_left] ) ;
+ int sizeY = (faces[i].rect[trans_bot] - faces[i].rect[trans_top] ) ;
+
+ for (int j = 0; j < faceDetectionNumFacesLastOutput; j++)
+ {
+ int tempCenterX = (faceDetectionLastOutput[j].rect[trans_left] +
+ faceDetectionLastOutput[j].rect[trans_right] ) / 2;
+ int tempCenterY = (faceDetectionLastOutput[j].rect[trans_top] +
+ faceDetectionLastOutput[j].rect[trans_bot] ) / 2;
+ int tempSizeX = (faceDetectionLastOutput[j].rect[trans_right] -
+ faceDetectionLastOutput[j].rect[trans_left] ) ;
+ int tempSizeY = (faceDetectionLastOutput[j].rect[trans_bot] -
+ faceDetectionLastOutput[j].rect[trans_top] ) ;
+
+ if ( (abs(tempCenterX - centerX) < HorizontalFilterThreshold) &&
+ (abs(tempCenterY - centerY) < VerticalFilterThreshold) )
+ {
+ // Found Face. It did not move too far.
+ // Now check size of rectangle compare to last output
+ if ( (abs (tempSizeX -sizeX) < HorizontalFaceSizeThreshold) &&
+ (abs (tempSizeY -sizeY) < VerticalFaceSizeThreshold) )
+ {
+ // Rectangle is almost same as last time
+ // Output exactly what was done for this face last time.
+ faces[i] = faceDetectionLastOutput[j];
+ }
+ else
+ {
+ // TODO(XXX): Rectangle size changed but position is same.
+ // Possibly we can apply just positional correctness.
+ }
+ }
+ }
+ }
+
+ // Save this output for next iteration
+ for (int i = 0; i < faceResult->number_of_faces; i++)
+ {
+ faceDetectionLastOutput[i] = faces[i];
+ }
+ faceDetectionNumFacesLastOutput = faceResult->number_of_faces;
+ } else {
+ faceResult->number_of_faces = 0;
+ faceResult->faces = NULL;
+ }
+
+ *pFaces = faceResult;
+
+ LOG_FUNCTION_NAME_EXIT;
+
+ return ret;
+}
+
+};