我正在努力学习Camera2的API,我已经建立了一个简单的相机应用程序,只是为了拍照,但我面临的问题是,预览是延伸到一些分辨率。我浏览了许多不同的帖子,所有这些都表明我的纵横比可能是错误的,但我使用了谷歌推荐的AutoFitTextureView和正确的纵横比,但我的预览是拉伸的。我从playstore下载了一些开源的相机应用程序,其中一些也和我的前置摄像头有同样的问题(除了开着的摄像头),但有趣的是,我在另一个设备上使用了相同的应用程序,而且预览是绝对完美的。最后,我决定用不同的分辨率测试我的应用程序,并观察结果,但是我找不到任何模式,有人能帮我理解一下吗?
my device display size is 720x1280
Front camera results:
SurfaceTexture AutoFitTextureView Result
buffer size size
2576x1932 720x960 Normal
2560x1440 720x1280 Normal
2048x1536 720x960 Normal
2048x1152 720x1280 Normal
1920x1920 720x720 Normal
1920x1080 720x1280 Normal
1440x1080 720x960 Horizontally Stretched
1280x720 720x1280 Horizontally Stretched
1072x1072 720x720 Normal
960x720 720x960 Normal
720x480 720x1080 Horizontally Stretched
640x480 720x960 Horizontally Stretched
352x288 720x880 Normal
320x240 720x960 Normal
256x144 720x1280 Horizontally Stretched
176x144 720x880 Normal发布于 2021-01-29 20:15:10
它们的关键是在您呈现预览的TextureView上设置正确的转换。“纺织品视图”的宽度和高度设置为与其父布局相匹配。
TextureView textureView;
void setTextureTransform(CameraCharacteristics characteristics) {
Size previewSize = getPreviewSize(characteristics);
int width = previewSize.getWidth();
int height = previewSize.getHeight();
int sensorOrientation = getCameraSensorOrientation(characteristics);
// Indicate the size of the buffer the texture should expect
textureView.getSurfaceTexture().setDefaultBufferSize(width, height);
// Save the texture dimensions in a rectangle
RectF viewRect = new RectF(0,0, textureView.getWidth(), textureView.getHeight());
// Determine the rotation of the display
float rotationDegrees = 0;
try {
rotationDegrees = (float)getDisplayRotation();
} catch (Exception ignored) {
}
float w, h;
if ((sensorOrientation - rotationDegrees) % 180 == 0) {
w = width;
h = height;
} else {
// Swap the width and height if the sensor orientation and display rotation don't match
w = height;
h = width;
}
float viewAspectRatio = viewRect.width()/viewRect.height();
float imageAspectRatio = w/h;
final PointF scale;
// This will make the camera frame fill the texture view, if you'd like to fit it into the view swap the "<" sign for ">"
if (viewAspectRatio < imageAspectRatio) {
// If the view is "thinner" than the image constrain the height and calculate the scale for the texture width
scale = new PointF((viewRect.height() / viewRect.width()) * ((float) height / (float) width), 1f);
} else {
scale = new PointF(1f, (viewRect.width() / viewRect.height()) * ((float) width / (float) height));
}
if (rotationDegrees % 180 != 0) {
// If we need to rotate the texture 90º we need to adjust the scale
float multiplier = viewAspectRatio < imageAspectRatio ? w/h : h/w;
scale.x *= multiplier;
scale.y *= multiplier;
}
Matrix matrix = new Matrix();
// Set the scale
matrix.setScale(scale.x, scale.y, viewRect.centerX(), viewRect.centerY());
if (rotationDegrees != 0) {
// Set rotation of the device isn't upright
matrix.postRotate(0 - rotationDegrees, viewRect.centerX(), viewRect.centerY());
}
// Transform the texture
textureView.setTransform(matrix);
}
int getDisplayRotation() {
switch (textureView.getDisplay().getRotation()) {
case Surface.ROTATION_0:
default:
return 0;
case Surface.ROTATION_90:
return 90;
case Surface.ROTATION_180:
return 180;
case Surface.ROTATION_270:
return 270;
}
}
Size getPreviewSize(CameraCharacteristics characteristics) {
StreamConfigurationMap map = characteristics.get(CameraCharacteristics.SCALER_STREAM_CONFIGURATION_MAP);
Size[] previewSizes = map.getOutputSizes(SurfaceTexture.class);
// TODO: decide on which size fits your view size the best
return previewSizes[0];
}
int getCameraSensorOrientation(CameraCharacteristics characteristics) {
Integer cameraOrientation = characteristics.get(CameraCharacteristics.SENSOR_ORIENTATION);
return (360 - (cameraOrientation != null ? cameraOrientation : 0)) % 360;
}发布于 2020-10-05 00:13:22
实际上,这可能是一个设备缺陷-相机实现是从整个传感器的大小不正确地缩放。这种情况通常发生在大多数应用程序不使用的不寻常大小上。
在您的例子中,可能是1440x1080被摄像机管道的某个部分处理得像1920x1080,从而导致拉伸。有时,可以通过添加另一个不同分辨率的输出(例如JPEG)来“修正”(有时甚至添加相同的输出)。
当然,您的代码(或AutoFitTextureView中)仍然可能存在逻辑错误。但这些都很难给出有用的建议,因为--这是一个逐步检查所有布局和缩放数学的问题。
你也可以尝试谷歌的官方相机支持库CameraX。它处于beta版,对于预览、仍然捕获和图像分析等基本用例来说,效果很好。
https://stackoverflow.com/questions/63868197
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