谁有材料如何使用人脸检测相机2 API？
Ale*_*nko 8 java camera android android-camera
在官方消息来源没有找到信息......有很多例子说明如何使用Camera API,但是如何使用Camera2API的任何东西......在Stake和所有的一些讨论...有类似的问我,但我有一个问题没有解决...
链接到同一个 队列:Android camera2人脸识别
我以Google的相机2 API为例.
这就是我做的,但我没有发现一张脸:
我添加了活动
private void createCameraPreviewSession() {
try {
SurfaceTexture texture = mTextureView.getSurfaceTexture();
assert texture != null;
// We configure the size of default buffer to be the size of camera preview we want.
texture.setDefaultBufferSize(mPreviewSize.getWidth(), mPreviewSize.getHeight());
// This is the output Surface we need to start preview.
Surface surface = new Surface(texture);
// We set up a CaptureRequest.Builder with the output Surface.
mPreviewRequestBuilder
= mCameraDevice.createCaptureRequest(CameraDevice.TEMPLATE_PREVIEW);
mPreviewRequestBuilder.addTarget(surface);
// Here, we create a CameraCaptureSession for camera preview.
mCameraDevice.createCaptureSession(Arrays.asList(surface, mImageReader.getSurface()),
new CameraCaptureSession.StateCallback() {
@Override
public void onConfigured(@NonNull CameraCaptureSession cameraCaptureSession) {
// The camera is already closed
if (null == mCameraDevice) {
return;
}
// When the session is ready, we start displaying the preview.
mCaptureSession = cameraCaptureSession;
try {
// ---->> ????????? ?????? ??????????? ????
mPreviewRequestBuilder.set(CaptureRequest.STATISTICS_FACE_DETECT_MODE,
CameraMetadata.STATISTICS_FACE_DETECT_MODE_FULL);
// Auto focus should be continuous for camera preview.
mPreviewRequestBuilder.set(CaptureRequest.CONTROL_AF_MODE,
CaptureRequest.CONTROL_AF_MODE_CONTINUOUS_PICTURE);
// Flash is automatically enabled when necessary.
setAutoFlash(mPreviewRequestBuilder);
// Finally, we start displaying the camera preview.
mPreviewRequest = mPreviewRequestBuilder.build();
mCaptureSession.setRepeatingRequest(mPreviewRequest,
mCaptureCallback, mBackgroundHandler);
} catch (CameraAccessException e) {
e.printStackTrace();
}
}
@Override
public void onConfigureFailed(
@NonNull CameraCaptureSession cameraCaptureSession) {
System.out.println("Failed ?????? 757");
}
}, null
);
} catch (CameraAccessException e) {
e.printStackTrace();
}
}
private CameraCaptureSession.CaptureCallback mCaptureCallback
= new CameraCaptureSession.CaptureCallback() {
@Override
public void onCaptureProgressed(@NonNull CameraCaptureSession session,
@NonNull CaptureRequest request,
@NonNull CaptureResult partialResult) {
process(partialResult);
}
@Override
public void onCaptureCompleted(@NonNull CameraCaptureSession session,
@NonNull CaptureRequest request,
@NonNull TotalCaptureResult result) {
process(result);
}
private void process(CaptureResult result) {
---> //????? ???????? ???????? ?? ?? ?????? ??? ??? ??? + ?????????? ???
Integer mode = result.get(CaptureResult.STATISTICS_FACE_DETECT_MODE);
Face[] faces = result.get(CaptureResult.STATISTICS_FACES);
if(faces != null && mode != null)
System.out.println("tagDDDDDDDDDDDDDDDDDDDDDDDD" + "faces : " +
faces.length + " , mode : " + mode);
switch (mState) {
case STATE_PREVIEW: {
// We have nothing to do when the camera preview is working normally.
// Here i set Face Detection
mPreviewRequestBuilder.set(CaptureRequest.STATISTICS_FACE_DETECT_MODE,
CameraMetadata.STATISTICS_FACE_DETECT_MODE_FULL);
break;
}
在这里,我正在检查相机可以获得的最大脸部数量
private void setUpCameraOutputs(int width, int height) {
CameraManager manager = (CameraManager) getSystemService(Context.CAMERA_SERVICE);
try {
for (String cameraId : manager.getCameraIdList()) {
CameraCharacteristics characteristics
= manager.getCameraCharacteristics(cameraId);
// We don't use a front facing camera in this sample.
Integer facing = characteristics.get(CameraCharacteristics.LENS_FACING);
if (facing != null && facing == CameraCharacteristics.LENS_FACING_FRONT) {
continue;
}
max_count = characteristics.get(
CameraCharacteristics.STATISTICS_INFO_MAX_FACE_COUNT);
modes = characteristics.get(
CameraCharacteristics.STATISTICS_INFO_AVAILABLE_FACE_DETECT_MODES);
System.out.println("!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! max_count " + max_count + " modes " + modes);
**输出是:**
I/System.out: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! max_count 16 modes [I@3e2907e8
**这就是日志打印**
03-08 18:34:07.018 7405-7438/com.example.android.camera2basic I/System.out: tagDDDDDDDDDDDDDDDDDDDDDDDDfaces : 0 , mode : 1
03-08 18:34:07.048 7405-7438/com.example.android.camera2basic I/System.out: tagDDDDDDDDDDDDDDDDDDDDDDDDfaces : 0 , mode : 1
03-08 18:34:07.078 7405-7438/com.example.android.camera2basic I/System.out: tagDDDDDDDDDDDDDDDDDDDDDDDDfaces : 0 , mode : 1
03-08 18:34:07.118 7405-7438/com.example.android.camera2basic I/System.out: tagDDDDDDDDDDDDDDDDDDDDDDDDfaces : 0 , mode : 1
03-08 18:34:07.148 7405-7438/com.example.android.camera2basic I/System.out: tagDDDDDDDDDDDDDDDDDDDDDDDDfaces : 0 , mode : 1
03-08 18:34:07.178 7405-7438/com.example.android.camera2basic I/System.out: tagDDDDDDDDDDDDDDDDDDDDDDDDfaces : 0 , mode : 1
03-08 18:34:07.218 7405-7438/com.example.android.camera2basic I/System.out: tagDDDDDDDDDDDDDDDDDDDDDDDDfaces : 0 , mode : 1
03-08 18:34:07.258 7405-7438/com.example.android.camera2basic I/System.out: tagDDDDDDDDDDDDDDDDDDDDDDDDfaces : 0 , mode : 1
03-08 18:34:07.288 7405-7438/com.example.android.camera2basic I/System.out: tagDDDDDDDDDDDDDDDDDDDDDDDDfaces : 0 , mode : 1
03-08 18:34:07.308 7405-7438/com.example.android.camera2basic I/System.out: tagDDDDDDDDDDDDDDDDDDDDDDDDfaces : 0 , mode : 1
03-08 18:34:07.348 7405-7438/com.example.android.camera2basic I/System.out: tagDDDDDDDDDDDDDDDDDDDDDDDDfaces : 0 , mode : 1
为什么不是面对面？如果有人有正确的工作例子,请给我一个链接.如何使用camera2API进行人脸检测.整个星期,我无法理解((
在 Play Services 8.3 中，Google 引入了 Mobile Vision API。它包括一个名为 Face API 的易于使用的 API，可检测图像和视频中的人脸。不要将其与人脸识别混淆，因为人脸 API 目前仅支持检测。
检测人脸
当 API 检测到人脸时，它会作为 Face 对象返回。Face 对象提供面部的空间数据，例如，您可以在面部周围绘制边界矩形，或者，如果您在面部上使用地标，则可以在面部的正确位置添加特征，例如给出人一顶新帽子。
它还提供了一些很酷的方法，例如用户是否在微笑:)或者他是否在眨眼;)等等。
查看文档和参考以了解更多信息。
希望这可以帮助 ：）
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