首先吐槽下：公司人脸识别方案选了半天，发现百度的demo做的还是很全面的，只不过只支持竖屏，但是奈何实际需求是横屏用，折腾了好几天（其实就是百度了好几天），最终没找到解决办法，于是即将放弃之际，搜索了下setPreviewDegree这个方法，终于在简书上找到了一个大神的代码片段 如下https://www.jianshu.com/p/a0a39bacf5c6，试了试，终于可以喜上眉头了。
进入正题：修改部分加粗 斜体吧
if (mIDetectStrategy ==null &&mFaceDetectRoundView !=null &&mFaceDetectRoundView.getRound() >0) {
mIDetectStrategy = FaceSDKManager.getInstance().getDetectStrategyModule();
mIDetectStrategy.setPreviewDegree(360-mPreviewDegree);
mIDetectStrategy.setDetectStrategySoundEnable(mIsEnableSound);
Rect detectRect = FaceDetectRoundView.getPreviewDetectRect(mDisplayWidth,mPreviewWidth,mPreviewHight);
mIDetectStrategy.setDetectStrategyConfig(mPreviewRect, detectRect,this);
}
然后是 在FaceModule.java 的faceTrackerDecode方法中
private FaceInfo[] faceTrackerDecode(byte[] imageData,int imageWidth,int imageHeight) {
FaceInfo[] faces =null;
if (mArgbData ==null ||
(imageWidth * imageHeight) != (mImageWidth *mImageHeight)) {
mArgbData =new int[imageWidth * imageHeight];
mImageWidth = imageWidth;
mImageHeight = imageHeight;
}
long startTime = System.nanoTime();
if (FaceSDK.getAuthorityStatus() ==0) {
FaceSDK.getARGBFromYUVimg(imageData,mArgbData,
imageWidth, imageHeight,
360 -mDegree,1);
// rows=768-cols=432
FaceTracker.ErrCode errorCode =mFaceTracker.faceVerification(
mArgbData,
imageWidth, imageHeight,
FaceSDK.ImgType.ARGB,
FaceTracker.ActionType.RECOGNIZE);
mErrCode = errorCode.ordinal();
faces =mFaceTracker.get_TrackedFaceInfo();
long endingTime = System.nanoTime();
Float fps =1000000000.0f / (endingTime - startTime +1);
if (faces !=null && faces.length >0) {
// Log.e(TAG, "face decode fps " + fps + "-" + errorCode.name());
if (mErrCode == FaceTracker.ErrCode.OK.ordinal()) {
mSaveFaceArgbData =mArgbData;
}
}else {
// Log.e(TAG, "face decode " + errorCode.name());
}
}
return faces;
}
上面删除线的部分替换为
int argb = FaceSDK.getARGBFromYUVimg(imageData,mArgbData, imageWidth, imageHeight,mDegree,0);
Log.i(TAG,"argb=" + argb);// 旋转了0度000000000000000000。高宽需要替换,横屏状态调换宽高
if (mDegree %180 ==0) {
int temp = imageWidth;
imageWidth = imageHeight;
imageHeight = temp;
}//rows=768-cols=432
FaceTracker.ErrCode
errorCode =mFaceTracker.faceVerification(mArgbData, imageWidth,
imageHeight, FaceSDK.ImgType.ARGB, FaceTracker.ActionType.RECOGNIZE);
就可以啦
